- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT02876835
Anemia Studies in Chronic Kidney Disease: Erythropoiesis Via a Novel Prolyl Hydroxylase Inhibitor Daprodustat-Non-Dialysis (ASCEND-ND)
April 1, 2024 updated by: GlaxoSmithKline
A Phase 3 Randomized, Open-label (Sponsor-blind), Active-controlled, Parallel-group, Multi-center, Event Driven Study in Non-dialysis Subjects With Anemia Associated With Chronic Kidney Disease to Evaluate the Safety and Efficacy of Daprodustat Compared to Darbepoetin Alfa
The purpose of this multi-center event-driven study in non-dialysis (ND) participants with anemia associated with chronic kidney disease (CKD) is to evaluate the safety and efficacy of daprodustat compared to darbepoetin alfa.
Study Overview
Status
Completed
Conditions
Intervention / Treatment
Study Type
Interventional
Enrollment (Actual)
3872
Phase
- Phase 3
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Locations
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Buenos Aires, Argentina, 1425
- GSK Investigational Site
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Buenos Aires, Argentina, C1181ACH
- GSK Investigational Site
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Buenos Aires, Argentina, CP1431FWO
- GSK Investigational Site
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Corrientes, Argentina, W3400AMZ
- GSK Investigational Site
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Formosa, Argentina, P3600LLD
- GSK Investigational Site
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La Plata, Argentina, B1902COS
- GSK Investigational Site
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Mendoza, Argentina, M5500AFA
- GSK Investigational Site
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Moron, Argentina, B1708DPO
- GSK Investigational Site
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San Miguel de Tucumán, Argentina, T4000AHL
- GSK Investigational Site
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Buenos Aires
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Ciudad Evita, Buenos Aires, Argentina, B1778IFA
- GSK Investigational Site
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Coronel Suarez, Buenos Aires, Argentina, 7540
- GSK Investigational Site
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Junín, Buenos Aires, Argentina, B6000GMA
- GSK Investigational Site
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Mar del Plata, Buenos Aires, Argentina, 7600
- GSK Investigational Site
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Pergamino, Buenos Aires, Argentina, B2700CPM
- GSK Investigational Site
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Córdova
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Cordoba, Córdova, Argentina, 5000
- GSK Investigational Site
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Córdoba, Córdova, Argentina, 5000
- GSK Investigational Site
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Córdoba, Córdova, Argentina, X5016KEH
- GSK Investigational Site
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Liverpool, Australia, 2107
- GSK Investigational Site
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Australian Capital Territory
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Garran, Australian Capital Territory, Australia, 2606
- GSK Investigational Site
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New South Wales
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Concord, New South Wales, Australia, 2139
- GSK Investigational Site
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Gosford, New South Wales, Australia, 2250
- GSK Investigational Site
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Kingswood, New South Wales, Australia, 2747
- GSK Investigational Site
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Kogarah, New South Wales, Australia, 2217
- GSK Investigational Site
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Randwick, New South Wales, Australia, 2031
- GSK Investigational Site
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St Leonards, New South Wales, Australia, 2065
- GSK Investigational Site
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Wollongong, New South Wales, Australia, 2500
- GSK Investigational Site
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Queensland
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Nambour, Queensland, Australia, 4560
- GSK Investigational Site
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Victoria
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Melbourne, Victoria, Australia, 3004
- GSK Investigational Site
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Reservoir, Victoria, Australia, 3073
- GSK Investigational Site
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St Albans, Victoria, Australia, 3021
- GSK Investigational Site
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Western Australia
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Nedlands, Western Australia, Australia, 6009
- GSK Investigational Site
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Aalst, Belgium, 9300
- GSK Investigational Site
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Baudour, Belgium, 7331
- GSK Investigational Site
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Brugge, Belgium, 8310
- GSK Investigational Site
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Brussels, Belgium, 1200
- GSK Investigational Site
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Ieper, Belgium, 8900
- GSK Investigational Site
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Leuven, Belgium, 3000
- GSK Investigational Site
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Liège, Belgium, 4000
- GSK Investigational Site
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Roeselare, Belgium, 8800
- GSK Investigational Site
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Ronse, Belgium, 9600
- GSK Investigational Site
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Sint-Niklaas, Belgium, 9100
- GSK Investigational Site
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Belo Horizonte, Brazil, 30150-320
- GSK Investigational Site
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Brasilia, Brazil, 70840-901
- GSK Investigational Site
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Feira de Santana, Brazil, 44001-465
- GSK Investigational Site
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Joinville, Brazil, 89201-010
- GSK Investigational Site
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Juiz De Fora, Brazil, 36036-330
- GSK Investigational Site
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Sao Paulo, Brazil, ?01323-001
- GSK Investigational Site
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São Paulo, Brazil, 01323903
- GSK Investigational Site
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São Paulo, Brazil, 04039-000
- GSK Investigational Site
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São Paulo, Brazil, ?04005-000
- GSK Investigational Site
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São Paulo, Brazil, ?08270-070
- GSK Investigational Site
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Bahia
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Salvador, Bahia, Brazil, 40415-065
- GSK Investigational Site
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Paraná
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Curitiba, Paraná, Brazil, 80730-150
- GSK Investigational Site
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Curitiba, Paraná, Brazil, 80440-020
- GSK Investigational Site
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Curitiba, Paraná, Brazil, CEP 80230-130
- GSK Investigational Site
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Rio Grande Do Sul
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Passo Fundo, Rio Grande Do Sul, Brazil, 99010-080
- GSK Investigational Site
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Porto Alegre, Rio Grande Do Sul, Brazil, 90035-903
- GSK Investigational Site
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Porto Alegre, Rio Grande Do Sul, Brazil, 90610-000
- GSK Investigational Site
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Porto Alegre, Rio Grande Do Sul, Brazil, 90035-074
- GSK Investigational Site
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São Paulo
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Sao Jose do Rio Preto, São Paulo, Brazil, 15090-000
- GSK Investigational Site
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Votuporanga, São Paulo, Brazil, 15500-003
- GSK Investigational Site
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Blagoevgrad, Bulgaria, 2700
- GSK Investigational Site
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Burgas, Bulgaria, 8000
- GSK Investigational Site
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Dobrich, Bulgaria, 9300
- GSK Investigational Site
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Gabrovo, Bulgaria, 5300
- GSK Investigational Site
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Lom, Bulgaria, 3600
- GSK Investigational Site
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Pazardzhik, Bulgaria, 4400
- GSK Investigational Site
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Plovdiv, Bulgaria, 4000
- GSK Investigational Site
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Sliven, Bulgaria, 8800
- GSK Investigational Site
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Smolyan, Bulgaria, 4700
- GSK Investigational Site
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Sofia, Bulgaria, 1233
- GSK Investigational Site
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Sofia, Bulgaria, 1709
- GSK Investigational Site
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Stara Zagora, Bulgaria, 6000
- GSK Investigational Site
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Varna, Bulgaria, 9000
- GSK Investigational Site
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Veliko Tarnovo, Bulgaria, 5000
- GSK Investigational Site
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Quebec, Canada, G1R 2J6
- GSK Investigational Site
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Alberta
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Edmonton, Alberta, Canada, T6G 2B7
- GSK Investigational Site
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Nova Scotia
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Halifax, Nova Scotia, Canada, B3H 1V8
- GSK Investigational Site
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Ontario
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Brampton, Ontario, Canada, L6T 0G1
- GSK Investigational Site
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London, Ontario, Canada, N6A 5A5
- GSK Investigational Site
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Mississauga, Ontario, Canada, L5M 2V8
- GSK Investigational Site
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Mississauga, Ontario, Canada, L4V 1P1
- GSK Investigational Site
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Toronto, Ontario, Canada, M4C 5T2
- GSK Investigational Site
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Quebec
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Greenfield Park, Quebec, Canada, J4V 2H1
- GSK Investigational Site
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Montreal, Quebec, Canada, H3G 1A4
- GSK Investigational Site
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Barranquilla, Colombia, 760002
- GSK Investigational Site
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Bogotá, Colombia, 111711
- GSK Investigational Site
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Cali, Colombia, 760007
- GSK Investigational Site
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Floridablanca, Colombia, 681001
- GSK Investigational Site
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Medellin, Colombia, 050012
- GSK Investigational Site
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Beroun, Czechia, 26601
- GSK Investigational Site
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Cesky Krumlov, Czechia, 38127
- GSK Investigational Site
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Ivancice, Czechia, 664 95
- GSK Investigational Site
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Jilemnice, Czechia, 514 01
- GSK Investigational Site
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Marianske Lazne, Czechia, 353 01
- GSK Investigational Site
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Novy Jicin, Czechia, 74101
- GSK Investigational Site
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Pardubice, Czechia, 53203
- GSK Investigational Site
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Praha 2, Czechia, 128 08
- GSK Investigational Site
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Praha 4, Czechia, 140 21
- GSK Investigational Site
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Sokolov, Czechia, 356 01
- GSK Investigational Site
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Aalborg, Denmark, DK-9000
- GSK Investigational Site
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Holstebro, Denmark, 7500
- GSK Investigational Site
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Kolding, Denmark, 6000
- GSK Investigational Site
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Odense C, Denmark, 5000
- GSK Investigational Site
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Jämejala Village, Estonia, 71024
- GSK Investigational Site
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Tallinn, Estonia, EE-13419
- GSK Investigational Site
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Tartu, Estonia, 50501
- GSK Investigational Site
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Annonay, France, 07103
- GSK Investigational Site
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Boulogne Billancourt, France, 92100
- GSK Investigational Site
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Caen Cedex 9, France, 14033
- GSK Investigational Site
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Clermont-Ferrand, France, 63000
- GSK Investigational Site
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Lyon, France, 69003
- GSK Investigational Site
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Montpellier, France, 34295
- GSK Investigational Site
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Mulhouse, France, 68100
- GSK Investigational Site
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Poitiers, France, 86021
- GSK Investigational Site
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Saint-Ouen, France, 93400
- GSK Investigational Site
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Koeln, Germany, 50937
- GSK Investigational Site
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Wiesbaden, Germany, 65191
- GSK Investigational Site
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Baden-Wuerttemberg
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Mannheim, Baden-Wuerttemberg, Germany, 68167
- GSK Investigational Site
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Bayern
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Muenchen, Bayern, Germany, 81675
- GSK Investigational Site
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Niedersachsen
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Cloppenburg, Niedersachsen, Germany, 49661
- GSK Investigational Site
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Nordrhein-Westfalen
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Duesseldorf, Nordrhein-Westfalen, Germany, 40210
- GSK Investigational Site
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Muenster, Nordrhein-Westfalen, Germany, 48149
- GSK Investigational Site
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Rheinland-Pfalz
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Kaiserslautern, Rheinland-Pfalz, Germany, 67655
- GSK Investigational Site
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Sachsen
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Leipzig, Sachsen, Germany, 04129
- GSK Investigational Site
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Alexandroupolis, Greece, 68100
- GSK Investigational Site
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Arta, Greece, 471 00
- GSK Investigational Site
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Athens, Greece, 11527
- GSK Investigational Site
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Athens, Greece, 115 26
- GSK Investigational Site
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Athens, Greece, 12462
- GSK Investigational Site
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Athens, Greece, 11526
- GSK Investigational Site
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Efkarpia, Greece, 564 29
- GSK Investigational Site
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Heraklion-Crete, Greece, 71110
- GSK Investigational Site
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Ioannina, Greece, 45001
- GSK Investigational Site
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Ioannina, Greece, 45500
- GSK Investigational Site
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Komotini, Greece, 69100
- GSK Investigational Site
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Larissa, Greece, 41100
- GSK Investigational Site
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Melissia, Greece, 15127
- GSK Investigational Site
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Patras, Greece, 26500
- GSK Investigational Site
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Thessaloniki, Greece, 57010
- GSK Investigational Site
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Thessaloniki, Greece, 546 42
- GSK Investigational Site
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Thessaloniki, Greece, 54636
- GSK Investigational Site
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Thessaloniki, Greece, 57001
- GSK Investigational Site
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Thessaloniki, Greece, 551 34
- GSK Investigational Site
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Hong Kong, Hong Kong
- GSK Investigational Site
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Lai Chi kok, Hong Kong
- GSK Investigational Site
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New Territories, Hong Kong
- GSK Investigational Site
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Tsuen Wan, Hong Kong
- GSK Investigational Site
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Baja, Hungary, 6500
- GSK Investigational Site
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Balatonfured, Hungary, 8230
- GSK Investigational Site
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Esztergom, Hungary, 2500
- GSK Investigational Site
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Kecskemét, Hungary, 6000
- GSK Investigational Site
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Miskolc, Hungary, 3526
- GSK Investigational Site
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Pecs, Hungary, 7623
- GSK Investigational Site
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Salgótarján, Hungary, 3100
- GSK Investigational Site
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Szigetvar, Hungary, 7900
- GSK Investigational Site
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Ahmedabad, India, 380059
- GSK Investigational Site
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Ahmedabad, India, 380054
- GSK Investigational Site
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Bangalore, India, 560055
- GSK Investigational Site
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Bangalore, India, 560054
- GSK Investigational Site
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Calicut, India, 673008
- GSK Investigational Site
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Chandigarh, India, 160012
- GSK Investigational Site
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Chennai, India, 600037
- GSK Investigational Site
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Chennai, Tamil Nadu, India, 600 006
- GSK Investigational Site
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Delhi, India, 110076
- GSK Investigational Site
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Ghaziabad, India, 201012
- GSK Investigational Site
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Gurgaon, India, 122001
- GSK Investigational Site
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Hyderabad, India, 500034
- GSK Investigational Site
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Hyderabad, India, 500012
- GSK Investigational Site
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Jaipur, India, 302004
- GSK Investigational Site
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Jaipur, India, 302018
- GSK Investigational Site
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Lucknow, India, 226014
- GSK Investigational Site
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Manipal, India, 576104
- GSK Investigational Site
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Mumbai, India, 400016
- GSK Investigational Site
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Mumbai, India, 400008
- GSK Investigational Site
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Nadiad, India, 387001
- GSK Investigational Site
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Nagpur, India, 440010
- GSK Investigational Site
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New Delhi, India, 110060
- GSK Investigational Site
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New Delhi, India, 110002
- GSK Investigational Site
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New Delhi, India, 110025
- GSK Investigational Site
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New Delhi, India, 110017
- GSK Investigational Site
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Pune, India, 411004
- GSK Investigational Site
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Pune, India, 411033
- GSK Investigational Site
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Secunderabad, India, 560020
- GSK Investigational Site
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Trivandrum, India, 695011
- GSK Investigational Site
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Ashkelon, Israel, 78278
- GSK Investigational Site
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Hadera, Israel, PO Box 169
- GSK Investigational Site
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Haifa, Israel, 31096
- GSK Investigational Site
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Kfar Saba, Israel, 44281
- GSK Investigational Site
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Nahariya, Israel, 22100
- GSK Investigational Site
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Nazareth, Israel, 16100
- GSK Investigational Site
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Poriya, Israel, 15208
- GSK Investigational Site
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Zerifin, Israel, 70300
- GSK Investigational Site
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Imola, Italy, 40026
- GSK Investigational Site
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Mestre, Italy, 30122
- GSK Investigational Site
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Calabria
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Catanzaro, Calabria, Italy, 88100
- GSK Investigational Site
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Campania
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Napoli, Campania, Italy, 80131
- GSK Investigational Site
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Emilia-Romagna
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Piacenza, Emilia-Romagna, Italy, 29100
- GSK Investigational Site
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Reggio Emilia, Emilia-Romagna, Italy, 42123
- GSK Investigational Site
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Liguria
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Genova, Liguria, Italy, 16132
- GSK Investigational Site
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Lombardia
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Lecco, Lombardia, Italy, 23900
- GSK Investigational Site
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Milano, Lombardia, Italy, 20132
- GSK Investigational Site
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Pavia, Lombardia, Italy, 27100
- GSK Investigational Site
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Piemonte
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Torino, Piemonte, Italy, 10154
- GSK Investigational Site
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Puglia
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Foggia, Puglia, Italy, 71100
- GSK Investigational Site
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Sardegna
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Cagliari, Sardegna, Italy, ?09100
- GSK Investigational Site
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Anyang-Si, Gyeonggi-do, Korea, Republic of, 14068
- GSK Investigational Site
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Bucheon, Korea, Republic of, 420-767
- GSK Investigational Site
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Busan, Korea, Republic of, 48108
- GSK Investigational Site
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Daegu, Korea, Republic of, 41944
- GSK Investigational Site
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Daegu, Korea, Republic of, 41931
- GSK Investigational Site
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Daejeon, Korea, Republic of, 301-721
- GSK Investigational Site
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Goyang-si, Korea, Republic of, 10444
- GSK Investigational Site
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Ilsanseo-gu, Goyang-si,, Korea, Republic of, 10380
- GSK Investigational Site
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Incheon, Korea, Republic of, 405-760
- GSK Investigational Site
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Incheon, Korea, Republic of, 021431
- GSK Investigational Site
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Jeonju-si, Korea, Republic of, 54987
- GSK Investigational Site
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Seongnam, Korea, Republic of, 13620
- GSK Investigational Site
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Seoul, Korea, Republic of, 06973
- GSK Investigational Site
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Seoul, Korea, Republic of, 137-701
- GSK Investigational Site
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Seoul, Korea, Republic of, 08308
- GSK Investigational Site
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Seoul, Korea, Republic of, 07061
- GSK Investigational Site
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Seoul, Korea, Republic of, 135-710
- GSK Investigational Site
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Seoul, Korea, Republic of, 158-710
- GSK Investigational Site
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Seoul, Korea, Republic of, 134-727
- GSK Investigational Site
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Seoul, Korea, Republic of, 3080
- GSK Investigational Site
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Seoul, Korea, Republic of, ?02447
- GSK Investigational Site
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Seoul, Korea, Republic of, ?05355
- GSK Investigational Site
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Suwon, Korea, Republic of, 16499
- GSK Investigational Site
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Suwon, Korea, Republic of, 442-723
- GSK Investigational Site
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Uijeongbu-si, Korea, Republic of, 11765
- GSK Investigational Site
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Wonju-si, Korea, Republic of, 26426
- GSK Investigational Site
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Alor Setar, Malaysia, 55600
- GSK Investigational Site
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Ipoh, Malaysia, 30450
- GSK Investigational Site
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Kuala Lumpur, Malaysia, 50603
- GSK Investigational Site
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Kuantan, Malaysia, 25100
- GSK Investigational Site
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Lumut, Malaysia, 32040
- GSK Investigational Site
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Pahang, Malaysia, 28000
- GSK Investigational Site
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Penang, Malaysia, 10990
- GSK Investigational Site
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Aguascalientes, Mexico, 20230
- GSK Investigational Site
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Chihuahua, Mexico, 31217
- GSK Investigational Site
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Chihuahua, Mexico, 31203
- GSK Investigational Site
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Ciudad De México, Mexico, 06100
- GSK Investigational Site
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Ciudad De México, Mexico, ?03800
- GSK Investigational Site
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Culiacan, Mexico, 80030
- GSK Investigational Site
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Tlalnepantla De Baz, Mexico, 54055
- GSK Investigational Site
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Veracruz, Mexico, 91020
- GSK Investigational Site
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Zapopan, Jalisco, Mexico, 45030
- GSK Investigational Site
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Coahuila
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Saltillo, Coahuila, Mexico, CP 25230
- GSK Investigational Site
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Torreon, Coahuila, Mexico, 27000
- GSK Investigational Site
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Durango
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Durango., Durango, Mexico, 34000
- GSK Investigational Site
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Estado De México
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Ciudad De Mexico, Estado De México, Mexico, 14080
- GSK Investigational Site
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Guanajuato
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Leon, Guanajuato, Mexico, 37530
- GSK Investigational Site
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León, Guanajuato, Mexico, 37000
- GSK Investigational Site
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Jalisco
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Guadalajara, Jalisco, Mexico, 44620
- GSK Investigational Site
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Guadalajara., Jalisco, Mexico, 44600
- GSK Investigational Site
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Morelos
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Cuernavaca, Morelos, Mexico, 62448
- GSK Investigational Site
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Nuevo León
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Monterrey, Nuevo León, Mexico, 64000
- GSK Investigational Site
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Querétaro
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Queretaro, Querétaro, Mexico, 76000
- GSK Investigational Site
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Sinaloa
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Culiacan, Sinaloa, Mexico, 80200
- GSK Investigational Site
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Culiacan, Sinaloa, Mexico, 80230
- GSK Investigational Site
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Mazatlán, Sinaloa, Mexico, 82020
- GSK Investigational Site
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Yucatán
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Merida, Yucatán, Mexico, CP 97070
- GSK Investigational Site
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Merida, Yucatán, Mexico, 97133
- GSK Investigational Site
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Amsterdam, Netherlands, 1081 HV
- GSK Investigational Site
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Deventer, Netherlands, 7416 SE
- GSK Investigational Site
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Rotterdam, Netherlands, 3079 DZ
- GSK Investigational Site
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Dunedin, New Zealand, 9016
- GSK Investigational Site
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Hamilton, New Zealand, 2001
- GSK Investigational Site
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Hastings, New Zealand, 4156
- GSK Investigational Site
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Otahuhu, New Zealand, 1640
- GSK Investigational Site
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Takapuna, Auckland, New Zealand, ?0740
- GSK Investigational Site
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Baguio City, Benguet, Philippines, 2600
- GSK Investigational Site
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Cebu City, Philippines, 6000
- GSK Investigational Site
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Dasmarinas, Philippines, 4114
- GSK Investigational Site
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Iloilo City, Philippines, 5000
- GSK Investigational Site
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Manila, Philippines, 1000
- GSK Investigational Site
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Pasig, Philippines, 1605
- GSK Investigational Site
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Quezon City, Philippines, 1100
- GSK Investigational Site
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San Juan, Philippines, 1500
- GSK Investigational Site
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Sto Tomas, Philippines, 4234
- GSK Investigational Site
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Bialystok, Poland, 15-540
- GSK Investigational Site
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Brzeg, Poland, 49301
- GSK Investigational Site
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Gdansk, Poland, 80-952
- GSK Investigational Site
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Katowice, Poland, 40-027
- GSK Investigational Site
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Kielce, Poland, 25-736
- GSK Investigational Site
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Kolobrzeg, Poland, 78-100
- GSK Investigational Site
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Lodz, Poland, 92-213
- GSK Investigational Site
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Radom, Poland, 26-610
- GSK Investigational Site
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Szczecin, Poland, 70-111
- GSK Investigational Site
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Zyrardow, Poland, 96-300
- GSK Investigational Site
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Amadora, Portugal, 2720-276
- GSK Investigational Site
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Aveiro, Portugal, 3814-501
- GSK Investigational Site
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Covilhã, Portugal, 6200-000
- GSK Investigational Site
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Lisboa, Portugal, 1069-166
- GSK Investigational Site
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Lisboa, Portugal, 1400-195
- GSK Investigational Site
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Lisboa, Portugal, 1250-189
- GSK Investigational Site
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Torres Novas, Portugal, 2350-754
- GSK Investigational Site
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Bucharest, Romania, 022328
- GSK Investigational Site
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Bucharest, Romania, ?022328
- GSK Investigational Site
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Bucharest, Romania, ?042122
- GSK Investigational Site
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Bucuresti, Romania, 022328
- GSK Investigational Site
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Constanta, Romania, 900591
- GSK Investigational Site
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Oradea, Romania, 410469
- GSK Investigational Site
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Timisoara, Romania, 300723
- GSK Investigational Site
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Irkutsk, Russian Federation, 664049
- GSK Investigational Site
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Kemerovo, Russian Federation, 650060
- GSK Investigational Site
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Krasnodar, Russian Federation, 350029
- GSK Investigational Site
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Moscow, Russian Federation, 119121
- GSK Investigational Site
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Mytischi, Russian Federation, 141009
- GSK Investigational Site
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Omsk, Russian Federation, 644112
- GSK Investigational Site
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Podolsk, Russian Federation, 142110
- GSK Investigational Site
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Ryazan, Russian Federation, 390026
- GSK Investigational Site
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Smolensk, Russian Federation, 214006
- GSK Investigational Site
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St. Petersburg, Russian Federation, 196247
- GSK Investigational Site
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St. Petersburg, Russian Federation, 194104
- GSK Investigational Site
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Ulyanovsk, Russian Federation, 432063
- GSK Investigational Site
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Volzhsky, Russian Federation, 404120
- GSK Investigational Site
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Yaroslavl, Russian Federation, 150062
- GSK Investigational Site
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Singapore, Singapore, 119074
- GSK Investigational Site
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Singapore, Singapore, 169608
- GSK Investigational Site
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Singapore, Singapore, 308433
- GSK Investigational Site
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Singapore, Singapore, 768828
- GSK Investigational Site
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Cape Town, South Africa, 7500
- GSK Investigational Site
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Cape Town., South Africa, 7925
- GSK Investigational Site
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Somerset West, South Africa, 7130
- GSK Investigational Site
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Eastern Cape
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Port Elizabeth, Eastern Cape, South Africa, 6001
- GSK Investigational Site
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Badalona, Spain, 08916
- GSK Investigational Site
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Barcelona, Spain, 08025
- GSK Investigational Site
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Barcelona, Spain, 08035
- GSK Investigational Site
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Barcelona, Spain, 08003
- GSK Investigational Site
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Barcelona, Spain, 08011
- GSK Investigational Site
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Burela, Spain, 27880
- GSK Investigational Site
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Caceres, Spain, 10003
- GSK Investigational Site
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Ciudad Real, Spain, 13002
- GSK Investigational Site
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Girona, Spain, 17007
- GSK Investigational Site
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Guadalajara, Spain, 19002
- GSK Investigational Site
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L'Hospitalet de Llobregat, Spain, 08907
- GSK Investigational Site
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Mollet del Valles, Spain, ?08100
- GSK Investigational Site
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Santiago de Compostela, Spain, 15706
- GSK Investigational Site
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Sevilla, Spain, 41071
- GSK Investigational Site
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Madrid
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Majadahonda, Madrid, Spain, 28222
- GSK Investigational Site
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Stockholm, Sweden, SE-141 86
- GSK Investigational Site
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Uppsala, Sweden, SE-75185
- GSK Investigational Site
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Örebro, Sweden, SE-701 85
- GSK Investigational Site
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Kaohsiung, Taiwan, 833
- GSK Investigational Site
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Kaohsiung, Taiwan, 807
- GSK Investigational Site
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Keelung, Taiwan, 204
- GSK Investigational Site
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New Taipei, Taiwan, 220
- GSK Investigational Site
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Tainan, Taiwan, 704
- GSK Investigational Site
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Taipei, Taiwan, 104
- GSK Investigational Site
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Taipei, Taiwan, 112
- GSK Investigational Site
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Taipei, Taiwan, 10002
- GSK Investigational Site
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Taipei, Taiwan, 116
- GSK Investigational Site
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Taoyuan Hsien, Taiwan, 333
- GSK Investigational Site
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Bangkok, Thailand, 10400
- GSK Investigational Site
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Bangkok, Thailand, 10330
- GSK Investigational Site
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Bangkok, Thailand, 11000
- GSK Investigational Site
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Bangkoknoi, Thailand, 10700
- GSK Investigational Site
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Chiang Mai, Thailand, 50200
- GSK Investigational Site
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Khon Kaen, Thailand, 40002
- GSK Investigational Site
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Pathumthani, Thailand, 12120
- GSK Investigational Site
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Adana, Turkey, ?01330
- GSK Investigational Site
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Ankara, Turkey, ?06100
- GSK Investigational Site
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Antalya, Turkey, ?07059
- GSK Investigational Site
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Edirne, Turkey, 22030
- GSK Investigational Site
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Eskisehir, Turkey, 26480
- GSK Investigational Site
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Istanbul, Turkey, 34899
- GSK Investigational Site
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Istanbul, Turkey, 34130
- GSK Investigational Site
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Istanbul, Turkey, 34381
- GSK Investigational Site
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Kayseri, Turkey, 38039
- GSK Investigational Site
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Cherkasy, Ukraine, 18009
- GSK Investigational Site
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Chernihiv, Ukraine, 14029
- GSK Investigational Site
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Chernivtsi, Ukraine, 58005
- GSK Investigational Site
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Ivano-Frankivsk, Ukraine, 76008
- GSK Investigational Site
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Kharkiv, Ukraine, 61039
- GSK Investigational Site
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Kherson, Ukraine, 73039
- GSK Investigational Site
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Kiev, Ukraine, ?04107
- GSK Investigational Site
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Kyiv, Ukraine, 04112
- GSK Investigational Site
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Kyiv, Ukraine, 01014
- GSK Investigational Site
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Kyiv, Ukraine, ?01023
- GSK Investigational Site
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Kyiv, Ukraine, ?04050
- GSK Investigational Site
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Lutsk, Ukraine, 43000
- GSK Investigational Site
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Mykolaiv, Ukraine, 54058
- GSK Investigational Site
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Poltava, Ukraine, 36011
- GSK Investigational Site
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Ternopil, Ukraine, 46002
- GSK Investigational Site
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Zaporizhzhia, Ukraine, 69001
- GSK Investigational Site
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Zaporizhzhia, Ukraine, 69600
- GSK Investigational Site
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Zhytomyr, Ukraine, 10002
- GSK Investigational Site
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Birmingham, United Kingdom, B9 5SS
- GSK Investigational Site
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Bristol, United Kingdom, BS10 5NB
- GSK Investigational Site
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Cambridge, United Kingdom, CB2 0QQ
- GSK Investigational Site
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Cardiff, United Kingdom, CF14 4XW
- GSK Investigational Site
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Derby, United Kingdom, DE22 3NE
- GSK Investigational Site
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Doncaster, United Kingdom, DN2 5LT
- GSK Investigational Site
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Fife, United Kingdom, KY2 5AH
- GSK Investigational Site
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Glasgow., United Kingdom, G51 4TF
- GSK Investigational Site
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Hull, United Kingdom, HU3 2JZ
- GSK Investigational Site
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Leeds, United Kingdom, LS9 7TF
- GSK Investigational Site
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London, United Kingdom, E1 1BB
- GSK Investigational Site
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London, United Kingdom, SE5 9RS
- GSK Investigational Site
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Manchester, United Kingdom, M13 9WL
- GSK Investigational Site
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Middlesbrough, United Kingdom, TS4 3BW
- GSK Investigational Site
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Oxford, United Kingdom, OX3 7LE
- GSK Investigational Site
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Salford, United Kingdom, M6 8HD
- GSK Investigational Site
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York, United Kingdom, YO31 8HE
- GSK Investigational Site
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Hertfordshire
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Stevenage, Hertfordshire, United Kingdom, SG1 4AB
- GSK Investigational Site
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Lancashire
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Preston, Lancashire, United Kingdom, PR2 9HT
- GSK Investigational Site
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London
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Hampstead, London, United Kingdom, NW3 2QG
- GSK Investigational Site
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Merseyside
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Liverpool, Merseyside, United Kingdom, L7 8XP
- GSK Investigational Site
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West Midlands
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Wolverhampton, West Midlands, United Kingdom, WV10 0QP
- GSK Investigational Site
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Alabama
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Andalusia, Alabama, United States, 36420
- GSK Investigational Site
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Birmingham, Alabama, United States, 35249
- GSK Investigational Site
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Huntsville, Alabama, United States, 35805
- GSK Investigational Site
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Arizona
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Glendale, Arizona, United States, 85305
- GSK Investigational Site
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Mesa, Arizona, United States, 85202
- GSK Investigational Site
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Phoenix, Arizona, United States, 85016
- GSK Investigational Site
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Phoenix, Arizona, United States, 85027
- GSK Investigational Site
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Scottsdale, Arizona, United States, 48201
- GSK Investigational Site
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Tucson, Arizona, United States, 85745
- GSK Investigational Site
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California
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Azusa, California, United States, 91702
- GSK Investigational Site
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Bakersfield, California, United States, 93308
- GSK Investigational Site
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Bakersfield, California, United States, 93309
- GSK Investigational Site
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Chula Vista, California, United States, 91910
- GSK Investigational Site
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Cudahy, California, United States, 90201
- GSK Investigational Site
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El Centro, California, United States, 92243
- GSK Investigational Site
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Escondido, California, United States, 92025
- GSK Investigational Site
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Glendale, California, United States, 91204
- GSK Investigational Site
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Granada Hills, California, United States, 91344
- GSK Investigational Site
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La Mesa, California, United States, 91942
- GSK Investigational Site
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La Palma, California, United States, 90623
- GSK Investigational Site
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Long Beach, California, United States, 90806
- GSK Investigational Site
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Los Angeles, California, United States, 90095
- GSK Investigational Site
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Los Angeles, California, United States, 90022
- GSK Investigational Site
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Montebello, California, United States, 90640
- GSK Investigational Site
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National City, California, United States, 91950
- GSK Investigational Site
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Riverside, California, United States, 92505
- GSK Investigational Site
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San Diego, California, United States, 92103
- GSK Investigational Site
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San Diego, California, United States, 92111
- GSK Investigational Site
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San Luis Obispo, California, United States, 93405
- GSK Investigational Site
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Simi Valley, California, United States, 93065
- GSK Investigational Site
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Tarzana, California, United States, 91356
- GSK Investigational Site
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Whittier, California, United States, 90602
- GSK Investigational Site
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Connecticut
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Middlebury, Connecticut, United States, 06762
- GSK Investigational Site
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District of Columbia
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Washington, District of Columbia, United States, 20037
- GSK Investigational Site
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Florida
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Aventura, Florida, United States, 33180
- GSK Investigational Site
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Boca Raton, Florida, United States, 33431
- GSK Investigational Site
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Coral Gables, Florida, United States, 33134
- GSK Investigational Site
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Cutler Bay, Florida, United States, 33189
- GSK Investigational Site
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Doral, Florida, United States, 33122
- GSK Investigational Site
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Fort Lauderdale, Florida, United States, 33308
- GSK Investigational Site
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Homestead, Florida, United States, 33033
- GSK Investigational Site
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Hudson, Florida, United States, 34667
- GSK Investigational Site
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Jacksonville, Florida, United States, 32224
- GSK Investigational Site
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Jacksonville, Florida, United States, 32256
- GSK Investigational Site
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Lauderdale Lakes, Florida, United States, 33313
- GSK Investigational Site
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Miami, Florida, United States, 33143
- GSK Investigational Site
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Miami, Florida, United States, 33156
- GSK Investigational Site
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Miami, Florida, United States, 33173
- GSK Investigational Site
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Miami, Florida, United States, 33126
- GSK Investigational Site
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Miami, Florida, United States, 33169
- GSK Investigational Site
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Miami, Florida, United States, 33165
- GSK Investigational Site
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Miami, Florida, United States, 33150
- GSK Investigational Site
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Miami, Florida, United States, 33155
- GSK Investigational Site
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Miami, Florida, United States, 33145
- GSK Investigational Site
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Miami, Florida, United States, 33147
- GSK Investigational Site
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Miami Gardens, Florida, United States, 33169
- GSK Investigational Site
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Miami Lakes, Florida, United States, 33014
- GSK Investigational Site
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Ocala, Florida, United States, 34471
- GSK Investigational Site
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Orlando, Florida, United States, 32810
- GSK Investigational Site
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Pembroke Pines, Florida, United States, 33028
- GSK Investigational Site
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Port Charlotte, Florida, United States, 33952
- GSK Investigational Site
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South Miami, Florida, United States, 33143
- GSK Investigational Site
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Tampa, Florida, United States, 33612
- GSK Investigational Site
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Temple Terrace, Florida, United States, 33637
- GSK Investigational Site
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Georgia
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Atlanta, Georgia, United States, 30342
- GSK Investigational Site
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Augusta, Georgia, United States, 30909
- GSK Investigational Site
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Augusta, Georgia, United States, 30912
- GSK Investigational Site
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Augusta, Georgia, United States, 30904
- GSK Investigational Site
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Columbus, Georgia, United States, 31904
- GSK Investigational Site
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Idaho
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Nampa, Idaho, United States, 83687
- GSK Investigational Site
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Illinois
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Chicago, Illinois, United States, 60611
- GSK Investigational Site
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Chicago, Illinois, United States, 60643
- GSK Investigational Site
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Crystal Lake, Illinois, United States, 60014
- GSK Investigational Site
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Mount Prospect, Illinois, United States, 60056
- GSK Investigational Site
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Quincy, Illinois, United States, 62301
- GSK Investigational Site
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Springfield, Illinois, United States, 62702
- GSK Investigational Site
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Indiana
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Fort Wayne, Indiana, United States, 46845
- GSK Investigational Site
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Jeffersonville, Indiana, United States, 47130
- GSK Investigational Site
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Michigan City, Indiana, United States, 46360
- GSK Investigational Site
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Iowa
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Des Moines, Iowa, United States, 50309
- GSK Investigational Site
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Iowa City, Iowa, United States, 52242
- GSK Investigational Site
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Kansas
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Hutchinson, Kansas, United States, 67502
- GSK Investigational Site
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Wichita, Kansas, United States, 67214
- GSK Investigational Site
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Kentucky
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Louisville, Kentucky, United States, 40202
- GSK Investigational Site
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Louisiana
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Baton Rouge, Louisiana, United States, 70808
- GSK Investigational Site
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Baton Rouge, Louisiana, United States, 70836
- GSK Investigational Site
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Metairie, Louisiana, United States, 70006
- GSK Investigational Site
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Maryland
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Baltimore, Maryland, United States, 21287
- GSK Investigational Site
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Potomac, Maryland, United States, 20854
- GSK Investigational Site
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Takoma Park, Maryland, United States, 20912-6385
- GSK Investigational Site
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Massachusetts
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Boston, Massachusetts, United States, 02114
- GSK Investigational Site
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Michigan
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Detroit, Michigan, United States, 48202
- GSK Investigational Site
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Kalamazoo, Michigan, United States, 49007
- GSK Investigational Site
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Pontiac, Michigan, United States, 48341
- GSK Investigational Site
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Minnesota
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Minneapolis, Minnesota, United States, 55414
- GSK Investigational Site
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Mississippi
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Jackson, Mississippi, United States, 39216
- GSK Investigational Site
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Tupelo, Mississippi, United States, 38801
- GSK Investigational Site
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Missouri
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Saint Louis, Missouri, United States, 63110
- GSK Investigational Site
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Saint Louis, Missouri, United States, 63106
- GSK Investigational Site
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Nebraska
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North Platte, Nebraska, United States, 69101
- GSK Investigational Site
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Nevada
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Las Vegas, Nevada, United States, 89106
- GSK Investigational Site
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New York
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Bronx, New York, United States, 10461
- GSK Investigational Site
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Bronx, New York, United States, 10467
- GSK Investigational Site
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Brooklyn, New York, United States, 11203
- GSK Investigational Site
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Buffalo, New York, United States, 14215
- GSK Investigational Site
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Flushing, New York, United States, 11355
- GSK Investigational Site
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Laurelton, New York, United States, 11413
- GSK Investigational Site
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New York, New York, United States, 10021
- GSK Investigational Site
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New York, New York, United States, 10029
- GSK Investigational Site
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Ridgewood, New York, United States, 11385
- GSK Investigational Site
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Yonkers, New York, United States, 10704
- GSK Investigational Site
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North Carolina
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Charlotte, North Carolina, United States, 28204
- GSK Investigational Site
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Raleigh, North Carolina, United States, 27609
- GSK Investigational Site
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Rocky Mount, North Carolina, United States, 27804
- GSK Investigational Site
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Wilmington, North Carolina, United States, 28401
- GSK Investigational Site
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Winston-Salem, North Carolina, United States, 27103
- GSK Investigational Site
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North Dakota
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Grand Forks, North Dakota, United States, 58201
- GSK Investigational Site
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Ohio
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Canton, Ohio, United States, 15212
- GSK Investigational Site
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Cincinnati, Ohio, United States, 45206
- GSK Investigational Site
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Cincinnati, Ohio, United States, 45220
- GSK Investigational Site
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Mentor, Ohio, United States, 44060
- GSK Investigational Site
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Oklahoma
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Lawton, Oklahoma, United States, 73505
- GSK Investigational Site
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Oregon
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Portland, Oregon, United States, 97210
- GSK Investigational Site
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Roseburg, Oregon, United States, 97471
- GSK Investigational Site
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Pennsylvania
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Bethlehem, Pennsylvania, United States, 18017
- GSK Investigational Site
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Doylestown, Pennsylvania, United States, 18901
- GSK Investigational Site
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Lancaster, Pennsylvania, United States, 17601
- GSK Investigational Site
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Upland, Pennsylvania, United States, 19013
- GSK Investigational Site
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Wyomissing, Pennsylvania, United States, 19610
- GSK Investigational Site
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South Carolina
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Anderson, South Carolina, United States, 29621
- GSK Investigational Site
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Charleston, South Carolina, United States, 29425
- GSK Investigational Site
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Columbia, South Carolina, United States, 29209
- GSK Investigational Site
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Sumter, South Carolina, United States, 29150
- GSK Investigational Site
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Tennessee
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Cordova, Tennessee, United States, 38018
- GSK Investigational Site
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Knoxville, Tennessee, United States, 37923
- GSK Investigational Site
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Memphis, Tennessee, United States, 38163
- GSK Investigational Site
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Nashville, Tennessee, United States, 37205
- GSK Investigational Site
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Texas
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Arlington, Texas, United States, 76002
- GSK Investigational Site
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Austin, Texas, United States, 78751
- GSK Investigational Site
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Austin, Texas, United States, 78758
- GSK Investigational Site
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Corpus Christi, Texas, United States, 78404
- GSK Investigational Site
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Corsicana, Texas, United States, 75110
- GSK Investigational Site
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Dallas, Texas, United States, 75246
- GSK Investigational Site
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Dallas, Texas, United States, 75237
- GSK Investigational Site
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Houston, Texas, United States, 77099
- GSK Investigational Site
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Houston, Texas, United States, 77004
- GSK Investigational Site
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Houston, Texas, United States, 77084
- GSK Investigational Site
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Houston, Texas, United States, 77043
- GSK Investigational Site
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Lufkin, Texas, United States, 75904
- GSK Investigational Site
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McAllen, Texas, United States, 78503
- GSK Investigational Site
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San Antonio, Texas, United States, 78229
- GSK Investigational Site
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San Antonio, Texas, United States, 78258
- GSK Investigational Site
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San Antonio, Texas, United States, 78212
- GSK Investigational Site
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San Antonio, Texas, United States, 78202
- GSK Investigational Site
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Temple, Texas, United States, 76508
- GSK Investigational Site
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Waxahachie, Texas, United States, 75165
- GSK Investigational Site
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Virginia
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Alexandria, Virginia, United States, 22304
- GSK Investigational Site
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Fairfax, Virginia, United States, 22033
- GSK Investigational Site
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Hampton, Virginia, United States, 23666
- GSK Investigational Site
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Salem, Virginia, United States, 24153
- GSK Investigational Site
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West Virginia
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Bluefield, West Virginia, United States, 24701
- GSK Investigational Site
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Ha Noi, Vietnam, 10000
- GSK Investigational Site
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Ha Noi City, Vietnam, 10000
- GSK Investigational Site
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Hai Phong, Vietnam, 180000
- GSK Investigational Site
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Hanoi, Vietnam, 11000
- GSK Investigational Site
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Ho Chi Minh, Vietnam, 700000
- GSK Investigational Site
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Ho Chi Minh City, Vietnam, 700000
- GSK Investigational Site
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Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
18 years to 99 years (Adult, Older Adult)
Accepts Healthy Volunteers
No
Description
Inclusion Criteria:
- Age: 18 to 99 years of age (inclusive)
- CKD stage: Kidney Disease Outcomes Quality Initiative (KDOQI) CKD stages 3, 4, or 5 defined by electronic eGFR using the CKD Epidemiology Collaboration (CKD-EPI) formula.
- Erythropoietin-stimulating agents (ESAs)/Hgb: Group 1 (not using ESAs): No ESA use within the 6 weeks prior to screening and no ESA use between screening and randomization (Day 1). Group 2 (ESA users): Use of any approved ESA for the 6 weeks prior to screening and continuing between screening and randomization.
- For Group 1 (not using ESAs), Hgb concentration at Week -8 and Week 1 should be 8 to 10 gram per deciliter (g/dL). For Group 2 (ESA users), Hgb concentration at Week -8 should be 8 to 12 g/dL and at Week 1 should be 8 to 11 g/dL.
- >=80% and <=120% compliance with placebo during run-in period.
- Informed consent (screening only): capable of giving signed informed consent which includes compliance with the requirements and restrictions.
Exclusion Criteria:
- Dialysis: On dialysis or clinical evidence of impending need to initiate dialysis within 90 days after study start (Day 1).
- Kidney transplant: Planned living-related or living-unrelated kidney transplant within 52 weeks after study start (Day 1).
- Ferritin: <=100 nanograms (ng)/milliliter (mL) (<=100 micrograms/liter [L]) at screening.
- Transferrin saturation (TSAT) (screening only): <=20%.
- Aplasias: History of bone marrow aplasia or pure red cell aplasia.
- Other causes of anemia: untreated pernicious anemia, thalassemia major, sickle cell disease or myelodysplastic syndrome.
- Gastrointestinal (GI) bleeding: Evidence of actively bleeding gastric, duodenal, or esophageal ulcer disease or clinically significant GI bleeding <=4 weeks prior to screening through to randomization (Day 1).
- MI or acute coronary syndrome: <=4 weeks prior to screening through to randomization (Day 1).
- Stroke or transient ischemic attack: <=4 weeks prior to screening through to randomization (Day 1).
- Heart failure (HF): Chronic Class IV HF, as defined by the New York Heart Association (NYHA) functional classification system.
- Current uncontrolled hypertension: Current uncontrolled hypertension as determined by the investigator.
- Bazett's corrected QT interval (QTcB) (Day 1): QTcB >500 millisecond (msec), or QTcB >530 msec in subjects with bundle branch block. There is no Q-T Interval Corrected for Heart Rate (QTc) exclusion for subjects with a predominantly ventricular paced rhythm.
- Alanine transaminase (ALT): >2x upper limit of normal (ULN) at screening.
- Bilirubin: >1.5xULN at screening.
- Current unstable liver or biliary disease per investigator assessment, generally defined by the presence of ascites, encephalopathy, coagulopathy, hypoalbuminaemia, esophageal or gastric varices, persistent jaundice, or cirrhosis.
- Malignancy: History of malignancy within the 2 years prior to screening through to randomization (Day 1) or currently receiving treatment for cancer, or complex kidney cyst (example [e.g.] Bosniak Category II F, III or IV) > 3 centimeter (cm); with the exception of localized squamous cell or basal cell carcinoma of the skin that has been definitively treated >=4 weeks prior to screening.
- Severe allergic reactions: History of severe allergic or anaphylactic reactions or hypersensitivity to excipients in the investigational product, or darbepoetin alfa.
- Drugs and supplements: Use of strong inhibitors of Cytochrome P4502C8 (CYP2C8) (e.g., gemfibrozil) or strong inducers of CYP2C8 (e.g., rifampin/rifampicin).
- Other study participation: Use of other investigational agent or device prior to screening through to randomization (Day 1). At screening, this exclusion applies to use of the investigational agent within 30 days or within five half lives (whichever is longer).
- Prior treatment with daprodustat: Any prior treatment with daprodustat for treatment duration of >30 days.
- Females only: Subject is pregnant [as confirmed by a positive urine human chorionic gonadotrophin (hCG) test for females of reproductive potential (FRP) only], subject is breastfeeding, or subject is of reproductive potential and does not agree to follow one of the contraceptive options.
- Other Conditions: Any other condition, clinical or laboratory abnormality, or examination finding that the investigator considers would put the subject at unacceptable risk, which may affect study compliance (e.g., intolerance to darbepoetin alfa) or prevent understanding of the aims or investigational procedures or possible consequences of the study.
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
- Primary Purpose: Treatment
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
Experimental: Daprodustat
Participants will receive oral daprodustat once daily.
|
Oral placebo tablets will be taken from Week -4 up to randomization (Day 1).
The initial dose or oral daprodustat for ESA naïve subjects is based on Hgb and for ESA users is based on prior ESA dose.
The dose is adjusted thereafter in order to achieve the target range.
Participants will receive supplemental iron therapy if ferritin is <=100 ng/mL or TSAT is <=20%.
The investigator will choose the route of administration and dose of iron.
|
Active Comparator: Darbepoetin alfa
Participants will be administered darbepoetin alfa subcutaneously (SC).
|
Oral placebo tablets will be taken from Week -4 up to randomization (Day 1).
Participants will receive supplemental iron therapy if ferritin is <=100 ng/mL or TSAT is <=20%.
The investigator will choose the route of administration and dose of iron.
The initial dose of darbepoetin alfa to be administered for SC injection for ESA naïve subjects is based in Hgb and weight, and for ESA users is based on converting the prior ESA dose to the nearest available study darbepoetin alfa dose.
The dose is adjusted thereafter in order to achieve the target range.
IV darbepoetin alfa can be considered for participants transitioning to hemodialysis.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Time to First Occurrence of Adjudicated Major Adverse Cardiovascular Event (MACE) During Cardiovascular (CV) Events Follow-up Time Period (Non-inferiority Analysis)
Time Frame: Up to 4.3 person-years for CV follow-up time period
|
Time to MACE defined as time to first occurrence of Clinical Events Committee (CEC) adjudicated MACE (composite of all-cause mortality, non-fatal myocardial infarction [MI] and non-fatal stroke) was analyzed using a Cox proportional hazards regression model with treatment group, current erythropoiesis-stimulating agents (ESA) use at randomization and region as covariates.
Time to the first occurrence was computed as (event date minus randomization date) plus (+) 1.
The incidence rate per 100 person years calculated as (100 multiplied [*] number of participants with at least 1 event) divided by [/] first event person-years) is presented along with 95 percent (%) confidence interval (CI).
First event person years=(cumulative total time to first event for participants who have the event + cumulative total of censored time for participants without the event)/365.25,
based on the CV follow-up time period.
|
Up to 4.3 person-years for CV follow-up time period
|
Mean Change From Baseline in Hgb Levels Over the Evaluation Period (Week 28 to Week 52)
Time Frame: Baseline (Pre-dose on Day 1) and evaluation period (Week 28 to Week 52)
|
Blood samples were collected from participants for Hgb measurements.
Hgb during the evaluation period was defined as the mean of all available post-randomization Hgb values (on and off-treatment) during the evaluation period (Week 28 to Week 52).
For the primary analysis missing post-Baseline Hgb values were imputed using pre-specified multiple imputation methods.
Change from Baseline was defined as post-Baseline value minus (-) Baseline value.
Baseline was defined as the latest non-missing pre-dose assessment on or before the randomization date.
Analysis was performed using the Analysis of covariance (ANCOVA) model with terms for treatment, Baseline Hgb, current ESA use and region.
|
Baseline (Pre-dose on Day 1) and evaluation period (Week 28 to Week 52)
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Time to First Occurrence of Adjudicated MACE During CV Events Follow-up Time Period (Superiority Analysis)
Time Frame: Up to 4.3 person-years for CV follow-up time period
|
Time to MACE defined as the time to first occurrence of CEC adjudicated MACE was analyzed using a Cox proportional hazards regression model with treatment group, current ESA use at randomization, and region as covariate.
Time to the first occurrence was computed as (event date minus randomization date) + 1.
The incidence rate per 100 person years calculated as (100*number of participants with at least 1 event)/first event person-years) is presented along with 95% CI.
First event person years=(cumulative total time to first event for participants who have the event + cumulative total of censored time for participants without the event)/365.25,
based on the CV follow-up time period.
This endpoint was adjusted for multiplicity using the Holm-Bonferonni method.
|
Up to 4.3 person-years for CV follow-up time period
|
Time to First Occurrence of Adjudicated MACE or Thromboembolic Event During CV Events Follow-up Time Period
Time Frame: Up to 4.3 person-years for CV follow-up time period
|
Time to first occurrence of adjudicated MACE or thromboembolic event (vascular access thrombosis, symptomatic deep vein thrombosis or symptomatic pulmonary embolism) was analyzed using a Cox proportional hazards regression model with with treatment group, current ESA use at randomization, and region as covariates.
Time to the first occurrence was computed as (event date minus randomization date) + 1.
The incidence rate per 100 person years calculated as (100*number of participants with at least 1 event)/first event person-years) is presented along with 95% CI.
First event person years=(cumulative total time to first event for participants who have the event + cumulative total of censored time for participants without the event)/365.25,
based on the CV follow-up time period.
This endpoint was adjusted for multiplicity using the Holm-Bonferonni method.
|
Up to 4.3 person-years for CV follow-up time period
|
Time to First Occurrence of Adjudicated MACE or Hospitalization for Heart Failure During CV Events Follow-up Time Period
Time Frame: Up to 4.3 person-years for CV follow-up time period
|
Time to first occurrence of adjudicated MACE or hospitalization for heart failure was analyzed using a Cox proportional hazards regression model with treatment group, current ESA use at randomization, and region as covariates.
Time to the first occurrence was computed as (event date minus randomization date) + 1.
The incidence rate per 100 person years calculated as (100*number of participants with at least 1 event)/first event person-years) is presented along with 95% CI.
First event person years=(cumulative total time to first event for participants who have the event + cumulative total of censored time for participants without the event)/365.25,
based on the CV follow-up time period.
This endpoint was adjusted for multiplicity using the Holm-Bonferonni method.
|
Up to 4.3 person-years for CV follow-up time period
|
Time to First Occurrence of Chronic Kidney Disease (CKD) Progression During CV Events Follow-up Time Period
Time Frame: Up to 4.3 person-years for CV follow-up time period
|
Progression of CKD defined as: 40% decline in estimated glomerular filtration rate (eGFR) from Baseline or end stage renal disease (ESRD) as defined by either initiating chronic dialysis for >=90 days or not initiating chronic dialysis when dialysis is indicated or kidney transplantation.
Time to first occurrence of CKD progression was analyzed using Fine and Gray's proportional subdistribution hazard regression model with treatment group, Baseline ESA use and region as covariates.
Time to the first occurrence was computed as (event date minus randomization date) +1.
The incidence rate per 100 person years calculated as (100*number of participants with at least 1 event)/first event person-years) is presented along with 95% CI.
First event person years=(cumulative total time to first event for participants who have the event+cumulative total of censored time for participants without the event)/365.25,
based on the CV follow-up time period.
|
Up to 4.3 person-years for CV follow-up time period
|
Time to First Occurrence of Adjudicated All-Cause Mortality During Vital Status for Follow-up Time Period
Time Frame: Up to 4.3 person-years for vital status follow-up time period
|
Time to first occurrence of adjudicated all-cause mortality was analyzed using a Cox proportional hazards regression model with treatment group, current ESA use at randomization, and region as covariates.
Time to the first occurrence was computed as (event date minus randomization date) + 1.
The incidence rate per 100 person years calculated as (100*number of participants with at least 1 event)/first event person-years) is presented along with 95% CI.
First event person years=(cumulative total time to first event for participants who have the event + cumulative total of censored time for participants without the event)/365.25,
based on the vital status follow-up time period.
|
Up to 4.3 person-years for vital status follow-up time period
|
Time to First Occurrence of Adjudicated CV Mortality During CV Events Follow-up Time Period
Time Frame: Up to 4.3 person-years for CV follow-up time period
|
Time to first occurrence of adjudicated CV mortality was analyzed using a Cox proportional hazards regression model with treatment group, current ESA use at randomization, and region as covariates.
Time to the first occurrence was computed as (event date minus randomization date) + 1.
The incidence rate per 100 person years calculated as (100*number of participants with at least 1 event)/first event person-years) is presented along with 95% CI.
First event person years=(cumulative total time to first event for participants who have the event + cumulative total of censored time for participants without the event)/365.25,
based on the CV follow-up time period.
|
Up to 4.3 person-years for CV follow-up time period
|
Time to First Occurrence of Adjudicated Myocardial Infarction (MI) (Fatal and Non-Fatal) During CV Events Follow-up Time Period
Time Frame: Up to 4.3 person-years for CV follow-up time period
|
Time to first occurrence of adjudicated MI (fatal and non-fatal) was analyzed using a Cox proportional hazards regression model with treatment group, current ESA use at randomization, and region as covariates.
Time to the first occurrence was computed as (event date minus randomization date) + 1.
The incidence rate per 100 person years calculated as (100*number of participants with at least 1 event)/first event person-years) is presented along with 95% CI.
First event person years=(cumulative total time to first event for participants who have the event + cumulative total of censored time for participants without the event)/365.25,
based on the CV follow-up time period.
|
Up to 4.3 person-years for CV follow-up time period
|
Time to First Occurrence of Adjudicated Stroke (Fatal and Non-Fatal) During CV Events Follow-up Time Period
Time Frame: Up to 4.3 person-years for CV follow-up time period
|
Time to first occurrence of adjudicated stroke (fatal and non-fatal) was analyzed using a Cox proportional hazards regression model with treatment group, current ESA use at randomization, and region as covariates.
Time to the first occurrence was computed as (event date minus randomization date) + 1.
The incidence rate per 100 person years calculated as (100*number of participants with at least 1 event)/first event person-years) is presented along with 95% CI.
First event person years=(cumulative total time to first event for participants who have the event + cumulative total of censored time for participants without the event)/365.25,
based on the CV follow-up time period.
|
Up to 4.3 person-years for CV follow-up time period
|
Number of Participants With Adjudicated MACE or Hospitalization for Heart Failure (Recurrent Events Analysis)
Time Frame: Up to 4.3 person-years for CV follow-up time period
|
Number of participants with adjudicated MACE or hospitalization for heart failure (recurrent events analysis) is presented, categorized by number of occurrences of adjudicated MACE or hospitalization for heart failure per participant.
|
Up to 4.3 person-years for CV follow-up time period
|
Time to First Occurrence of Adjudicated CV Mortality or Non-Fatal MI During CV Events Follow-up Time Period
Time Frame: Up to 4.3 person-years for CV follow-up time period
|
Time to first occurrence of adjudicated CV mortality or non-fatal MI was analyzed using a Cox proportional hazards regression model with treatment group, current ESA use at randomization, and region as covariates.
Time to the first occurrence was computed as (event date minus randomization date) + 1.
The incidence rate per 100 person years calculated as (100*number of participants with at least 1 event)/first event person-years) is presented along with 95% CI.
First event person years=(cumulative total time to first event for participants who have the event + cumulative total of censored time for participants without the event)/365.25,
based on the CV follow-up time period.
|
Up to 4.3 person-years for CV follow-up time period
|
Time to First Occurrence of All-Cause Hospitalization During CV Events Follow-up Time Period
Time Frame: Up to 4.3 person-years for CV follow-up time period
|
All-cause hospitalization events were hospital admissions recorded on the hospitalization electronic case report form (eCRF) form with a hospitalization duration >=24 hours.
Time to first occurrence of all-cause hospitalization was analyzed using a Cox proportional hazards regression model with treatment group, current ESA use at randomization, and region as covariates.
Time to the first occurrence was computed as (event date minus randomization date) + 1.
The incidence rate per 100 person years calculated as (100*number of participants with at least 1 event)/first event person-years) is presented along with 95% CI.
First event person years=(cumulative total time to first event for participants who have the event + cumulative total of censored time for participants without the event)/365.25,
based on the CV follow-up time period.
|
Up to 4.3 person-years for CV follow-up time period
|
Time to First Occurrence of All-Cause Hospital Re-admission Within 30 Days During CV Events Follow-up Time Period
Time Frame: Up to 4.3 person-years for CV follow-up time period
|
All-cause hospital re-admissions within 30days are defined as hospital admissions recorded on hospitalization electronic case record form with hospitalization duration of >=24 hours and admission date within 30days following previous discharge date of all-cause hospitalization event, where previous hospitalization was >=24hours.Time to first occurrence of all-cause hospital re-admission within 30days was analyzed using Cox proportional hazards regression model with treatment group, current ESA use at randomization and region as covariates.Time to the first occurrence was computed as(event date - randomization date)+1.
Incidence rate per 100 person years calculated as(100*number of participants with at least 1event)/first event person-years) is presented along with 95% CI.
First event person years=(cumulative total time to first event for participants who have the event+cumulative total of censored time for participants without the event)/365.25,
based on the CV follow-up time period.
|
Up to 4.3 person-years for CV follow-up time period
|
Time to First Occurrence of Adjudicated MACE or Hospitalization for Heart Failure or Thromboembolic Events During CV Events Follow-up Time Period
Time Frame: Up to 4.3 person-years for CV follow-up time period
|
Time to first occurrence of adjudicated MACE or hospitalization for heart failure or thromboembolic events were analyzed using a Cox proportional hazards regression model with treatment group, current ESA use at randomization, and region as covariates.
Time to the first occurrence was computed as (event date minus randomization date) + 1.
The incidence rate per 100 person years calculated as (100*number of participants with at least 1 event)/first event person-years) is presented along with 95% CI.
First event person years=(cumulative total time to first event for participants who have the event + cumulative total of censored time for participants without the event)/365.25,
based on the CV follow-up time period.
|
Up to 4.3 person-years for CV follow-up time period
|
Time to First Occurrence of Adjudicated Hospitalization for Heart Failure During CV Events Follow-up Time Period
Time Frame: Up to 4.3 person-years for CV follow-up time period
|
Time to first occurrence of adjudicated hospitalization for heart failure was analyzed using a Cox proportional hazards regression model with treatment group, current ESA use at randomization, and region as covariates.
Time to the first occurrence was computed as (event date minus randomization date) + 1.
The incidence rate per 100 person years calculated as (100*number of participants with at least 1 event)/first event person-years) is presented along with 95% CI.
First event person years=(cumulative total time to first event for participants who have the event + cumulative total of censored time for participants without the event)/365.25,
based on the CV follow-up time period.
|
Up to 4.3 person-years for CV follow-up time period
|
Time to First Occurrence of Adjudicated Thromboembolic Events During CV Events Follow-up Time Period
Time Frame: Up to 4.3 person-years for CV follow-up time period
|
Time to first occurrence of adjudicated thromboembolic events were analyzed using a Cox proportional hazards regression model with treatment group, current ESA use at randomization, and region as covariates.
Time to the first occurrence was computed as (event date minus randomization date) + 1.
The incidence rate per 100 person years calculated as (100*number of participants with at least 1 event)/first event person-years) is presented along with 95% CI.
First event person years=(cumulative total time to first event for participants who have the event + cumulative total of censored time for participants without the event)/365.25,
based on the CV follow-up time period.
|
Up to 4.3 person-years for CV follow-up time period
|
Time to First Occurrence of Confirmed 40% Decline in eGFR During CV Events Follow-up Time Period
Time Frame: Up to 4.3 person-years for CV follow-up time period
|
Time to first occurrence of confirmed 40% decline in eGFR was analyzed using a Fine & Gray's proportional subdistribution hazard regression model with treatment group, Baseline ESA use and region as covariates.
Time to the first occurrence was computed as (event date minus randomization date)+1.
The incidence rate per 100 person years calculated as (100*number of participants with at least 1 event)/first event person-years) is presented along with 95% CI.
First event person years=(cumulative total time to first event for participants who have the event + cumulative total of censored time for participants without the event)/365.25,
based on the CV follow-up time period.
|
Up to 4.3 person-years for CV follow-up time period
|
Time to First Occurrence of Chronic Dialysis During CV Events Follow-up Time Period
Time Frame: Up to 4.3 person-years for CV follow-up time period
|
Time to first occurrence of chronic dialysis was analyzed using a Fine & Gray's proportional subdistribution hazard regression model with treatment group, Baseline ESA use and region as covariates.
Chronic dialysis is defined by either initiating dialysis for >=90 days or not initiating chronic dialysis when dialysis is indicated.
Time to the first occurrence was computed as (event date minus randomization date)+1.
The incidence rate per 100 person years calculated as (100*number of participants with at least 1 event)/first event person-years) is presented along with 95% CI.
First event person years=(cumulative total time to first event for participants who have the event + cumulative total of censored time for participants without the event)/365.25,
based on the CV follow-up time period.
|
Up to 4.3 person-years for CV follow-up time period
|
Time to First Occurrence of Kidney Transplant During CV Events Follow-up Time Period
Time Frame: Up to 4.3 person-years for CV follow-up time period
|
Time to first occurrence of kidney transplant were analyzed using a Fine & Gray's proportional subdistribution hazard regression model with treatment group, Baseline ESA use and region as covariates.
Time to the first occurrence was computed as (event date minus randomization date)+1.
The incidence rate per 100 person years calculated as (100*number of participants with at least 1 event)/first event person-years) is presented along with 95% CI.
First event person years=(cumulative total time to first event for participants who have the event + cumulative total of censored time for participants without the event)/365.25,
based on the CV follow-up time period.
|
Up to 4.3 person-years for CV follow-up time period
|
Change From Baseline in Post-randomization Hgb Levels at Week 52
Time Frame: Baseline (Pre-dose on Day 1) and Week 52
|
Blood samples were collected from participants for Hgb measurements.
Change from Baseline was defined as post-randomization value minus Baseline value.
Baseline was defined as the latest non-missing pre-dose assessment on or before the randomization date.
Analysis was performed using mixed model repeated measures (MMRM) model fitted from Baseline up to Week 52, excluding values collected during the stabilization period, with factors for treatment, time, current ESA use, region, Baseline Hgb and Baseline Hgb by time and treatment by time interactions.
|
Baseline (Pre-dose on Day 1) and Week 52
|
Number of Hgb Responders in the Hgb Analysis Range (10 to 11.5 Grams/Deciliter) During Evaluation Period (Week 28 to Week 52)
Time Frame: Week 28 to Week 52
|
Mean Hgb during the evaluation period was defined as the mean of all evaluable Hgb values during the evaluation period (Week 28 to Week 52) including any evaluable unscheduled Hgb values that were taken during this time period.
Hgb responders were defined as participants with a mean Hgb during the evaluation period that falls within the Hgb analysis range of 10-11.5 g/dL.
|
Week 28 to Week 52
|
Percentage of Time With Hgb in the Analysis Range (10 to 11.5 Grams/Deciliter) During Evaluation Period (Week 28 to Week 52): Non-inferiority Analysis
Time Frame: Week 28 to Week 52
|
Percentage of days for which a participant's Hgb was within the analysis range of 10-11.5 g/dL (both inclusive) during the evaluation period (Week 28 to Week 52), including any unscheduled evaluable Hgb values that were taken during this time period was calculated.
Percentage of time in the analysis range during evaluation period is calculated as time in range during the evaluation period / [Earlier of (Date of the last evaluable Hgb value, Week 52 visit date) - Later of (Date of the first evaluable Hgb value that between Week 16 and Week 52 inclusive, Week 28 visit date)].
|
Week 28 to Week 52
|
Percentage of Time With Hgb in the Analysis Range (10 to 11.5 Grams/Deciliter) During Evaluation Period (Week 28 to Week 52): Superiority Analysis
Time Frame: Week 28 to Week 52
|
Percentage of days for which a participant's Hgb was within the analysis range of 10-11.5 g/dL (both inclusive) during the evaluation period (Week 28 to Week 52), including any unscheduled evaluable Hgb values that were taken during this time period was calculated.
Percentage of time in the analysis range during evaluation period is calculated as time in range during the evaluation period / [Earlier of (Date of the last evaluable Hgb value, Week 52 visit date) - Later of (Date of the first evaluable Hgb value that between Week 16 and Week 52 inclusive, Week 28 visit date)].
|
Week 28 to Week 52
|
Percentage of Time With Hgb in the Analysis Range (10 to 11.5 Grams/Deciliter) During Maintenance Period (Week 28 to End of Study): Non-inferiority Analysis
Time Frame: Week 28 to end of study (4.3 person-years for follow-up time period)
|
Percentage of days for which a participant's Hgb was within the analysis range of 10-11.5 g/dL (both inclusive) during the maintenance period (Week 28 to end of study), including any unscheduled evaluable Hgb values that were taken during this time period was calculated.
Percentage of time in the analysis range during maintenance period is calculated as time in range during the maintenance period / [Earlier of (Date of the last evaluable Hgb value, End of study date)- Later of (Date of the first evaluable Hgb value that is on or after week 16, Week 28 visit date)].
|
Week 28 to end of study (4.3 person-years for follow-up time period)
|
Percentage of Time With Hemoglobin in the Analysis Range (10 to 11.5 Grams/Deciliter) During Maintenance Period (Week 28 to End of Study): Superiority Analysis
Time Frame: Week 28 to end of study (4.3 person-years for follow-up time period)
|
Percentage of days for which a participant's Hgb was within the analysis range of 10-11.5 g/dL (both inclusive) during the maintenance period (Week 28 to end of study), including any unscheduled evaluable Hgb values that were taken during this time period was calculated.
Percentage of time in the analysis range during maintenance period is calculated as time in range during the maintenance period / [Earlier of (Date of the last evaluable Hgb value, End of study date)- Later of (Date of the first evaluable Hgb value that is on or after week 16, Week 28 visit date)].
|
Week 28 to end of study (4.3 person-years for follow-up time period)
|
Change From Baseline in Systolic Blood Pressure (SBP), Diastolic Blood Pressure (DBP) and Mean Arterial Blood Pressure (MAP) at Week 52
Time Frame: Baseline (Week -4) and Week 52
|
SBP, DBP and MAP were measured in a seated position after at least a 5-minutes of rest.
MAP is the average (BP) in an individual's arteries during a single cardiac cycle.
Change from Baseline was calculated as on-treatment visit value minus Baseline value.
Baseline was defined as the latest non-missing pre-dose assessment on or before the randomization date.
Analysis was performed using MMRM model with treatment group + time + current ESA use at randomization + region + Baseline value + Baseline value*time + treatment group*time, using an unstructured covariance matrix.
Data for post-dialysis BP measurements have been presented.
|
Baseline (Week -4) and Week 52
|
Change From Baseline in SBP, DBP, MAP at End of Treatment
Time Frame: Baseline (Week -4) and 51.1 months
|
SBP, DBP and MAP were measured in a seated position after at least a 5-minutes of rest.
MAP is an average BP in an individual's arteries during a single cardiac cycle.
Change from Baseline was calculated as on-treatment visit value minus Baseline value.
Baseline was defined as the latest non-missing pre-dose assessment on or before the randomization date.
Analysis was performed using ANCOVA model with terms for treatment group, current ESA use at randomization, region and Baseline value.
Data for post-dialysis BP measurements have been presented.
|
Baseline (Week -4) and 51.1 months
|
Blood Pressure (BP) Exacerbation Event Rate Per 100 Participant Years
Time Frame: Day 1 to end of treatment (51.1 months)
|
BP exacerbation event (based on post-dialysis) was defined as: SBP >= 25 millimeter of mercury (mmHg) increased from Baseline or SBP >=180 mmHg; DBP >=15 mmHg increased from Baseline or DBP >=110 mmHg.
The BP exacerbation events per 100 participant years was estimated using the negative binomial model with treatment, current ESA use at randomization and region as covariates and the logarithm of time on-treatment as an offset variable.
Data for post-dialysis BP measurements have been presented.
|
Day 1 to end of treatment (51.1 months)
|
Number of Participants With at Least One BP Exacerbation Event During Study
Time Frame: Day 1 to end of treatment (51.1 months)
|
BP exacerbation was defined as: SBP >= 25 mmHg increased from Baseline or SBP >=180 mmHg; DBP >=15 mmHg increased from Baseline or DBP >=110 mmHg.
Number of participants with at least one BP exacerbation event is presented.
|
Day 1 to end of treatment (51.1 months)
|
Percentage of Participants Permanently Stopping Randomized Treatment Due to Meeting Rescue Criteria
Time Frame: Day 1 to 51.1 months
|
Percentage of participants permanently stopping randomized treatment due to meeting rescue criteria has been presented.
|
Day 1 to 51.1 months
|
Change From Baseline in On-treatment Physical Component Score (PCS) Using Short Form (SF)-36 Health-related Quality of Life (HRQoL) Questionnaire at Weeks 8, 12, 28, 52
Time Frame: Baseline (Pre-dose on Day 1), Weeks 8, 12, 28 and 52
|
The SF-36 acute version 2 is a 36-item generic quality of life instrument designed to measure a participant's level of performance in the following 8 health domains: physical functioning, role-physical (role limitations caused by physical problems), social functioning, bodily pain, mental health, role-emotional (role limitations caused by emotional problems), vitality and general health.
Each domain is scored from 0 (poorer health) to 100 (better health).
The PCS is an average score derived from 4 domains (physical functioning, role-physical, bodily pain and general health) representing overall physical health.
PCS ranges from 0 to 100; higher score represents better health.
Change from Baseline was calculated as on-treatment visit value minus Baseline value.
Baseline was defined as the latest non-missing pre-dose assessment on or before the randomization date.
|
Baseline (Pre-dose on Day 1), Weeks 8, 12, 28 and 52
|
Change From Baseline in On-treatment Mental Component Score (MCS) Using SF-36 HRQoL Questionnaire at Weeks 8, 12, 28, 52
Time Frame: Baseline (Pre-dose on Day 1), Weeks 8, 12, 28 and 52
|
The SF-36 acute version 2 is a 36-item generic quality of life instrument designed to measure a participant's level of performance in the following 8 health domains: physical functioning, role-physical (role limitations caused by physical problems), social functioning, bodily pain, mental health, role-emotional (role limitations caused by emotional problems), vitality and general health.
Each domain is scored from 0 (poorer health) to 100 (better health).
MCS is an average score derived from 4 domains (vitality, social functioning, role-emotional and mental health) representing overall mental health.
MCS ranges from 0 to 100; higher scores represent better health.
Change from Baseline was calculated as on-treatment visit value minus Baseline value.
Baseline was defined as the latest non-missing pre-dose assessment on or before the randomization date.
|
Baseline (Pre-dose on Day 1), Weeks 8, 12, 28 and 52
|
Change From Baseline in On-treatment SF-36 HRQoL Scores for Bodily Pain, General Health, Mental Health, Role-Emotional, Role-Physical, Social Functioning at Weeks 8, 12, 28, 52
Time Frame: Baseline (Pre-dose on Day 1), Weeks 8, 12, 28 and 52
|
The SF-36 acute version 2 is a 36-item generic quality of life instrument designed to measure a participant's level of performance in the following 8 health domains: bodily pain (b pain), general health (GH), mental health (MH), role-emotional (RE) (role limitations caused by emotional problems), role-physical (RP) (role limitations caused by physical problems), social functioning (SF), physical functioning and vitality.
Each domain is scored from 0 (poorer health) to 100 (better health).
Each domain score ranges from 0 to 100, higher score indicates a better health state and better functioning.
Change from Baseline (BL) was calculated as on-treatment visit value minus Baseline value.
Baseline was defined as the latest non-missing pre-dose assessment on or before the randomization date.
|
Baseline (Pre-dose on Day 1), Weeks 8, 12, 28 and 52
|
Change From Baseline in On-treatment Vitality Scores Using SF-36 HRQoL Questionnaire at Weeks 8, 12, 28, 52
Time Frame: Baseline (Pre-dose on Day 1), Weeks 8, 12, 28 and 52
|
The SF-36 acute version 2 is a 36-item generic quality of life instrument designed to measure a participant's level of performance in the following 8 health domains: physical functioning, role-physical (role limitations caused by physical problems), social functioning, bodily pain, mental health, role-emotional (role limitations caused by emotional problems), vitality and general health.
Each domain is scored from 0 (poorer health) to 100 (better health).
Vitality score ranges from 0 to 100; higher scores represent better health.
Change from Baseline was calculated as on-treatment visit value minus Baseline value.
Baseline was defined as the latest non-missing pre-dose assessment on or before the randomization date.
|
Baseline (Pre-dose on Day 1), Weeks 8, 12, 28 and 52
|
Change From Baseline in On-treatment Physical Functioning Domain Scores Using SF-36 HRQoL Questionnaire at Weeks 8, 12, 28, 52
Time Frame: Baseline (Pre-dose on Day 1), Weeks 8, 12, 28 and 52
|
The SF-36 acute version 2 is a 36-item generic quality of life instrument designed to measure a participant's level of performance in the following 8 health domains: physical functioning, role-physical (role limitations caused by physical problems), social functioning, bodily pain, mental health, role-emotional (role limitations caused by emotional problems), vitality and general health.
Each domain is scored from 0 (poorer health) to 100 (better health).
Physical functioning score ranges from 0 to 100; higher scores represent better health.
Change from Baseline was calculated as on-treatment visit value minus Baseline value.
Baseline was defined as the latest non-missing pre-dose assessment on or before the randomization date.
|
Baseline (Pre-dose on Day 1), Weeks 8, 12, 28 and 52
|
Change From Baseline in On-treatment Health Utility EuroQol 5 Dimensions 5 Level (EQ-5D-5L) Questionnaire Score at Week 52
Time Frame: Baseline (Pre-dose on Day 1) and Week 52
|
EQ-5D-5L is self-assessment questionnaire, consisting of 5 items covering 5 dimensions (mobility, self care, usual activities, pain/discomfort and anxiety/depression).
Each dimension is measured by 5-point Likert scale (1=no problems, 2=slight problems, 3=moderate problems, 4=severe problems and 5=extreme problems).
Responses for 5 dimensions together formed a 5-figure description of health state (e.g.11111 indicates no problems in all 5 dimensions).
Each of these 5 figure health states were converted to a single index score by applying country-specific value set formula that attaches weights to dimensions and levels.
Range for EQ-5D-5L index score is -0.594 (worst health) to 1 (full health state).
Change from Baseline was calculated as on-treatment visit value minus Baseline value.
Baseline was latest non-missing pre-dose assessment on or before randomization date.
|
Baseline (Pre-dose on Day 1) and Week 52
|
Change From Baseline in On-treatment EQ Visual Analogue Scale (EQ-VAS) at Week 52
Time Frame: Baseline (Pre-dose on Day 1) and Week 52
|
The EQ VAS records the respondent's self-rated health on a vertical VAS, ranging from 0 to 100, where 0 represents the worst imaginable health and 100 represents the best imaginable health.
Change from Baseline was calculated as on-treatment visit value minus Baseline value.
Baseline was defined as the latest non-missing pre-dose assessment on or before the randomization date.
|
Baseline (Pre-dose on Day 1) and Week 52
|
Change From Baseline in On-treatment Chronic Kidney Disease- Anemia Symptoms Questionnaire (CKD-AQ) at Weeks 8, 12, 28, 52
Time Frame: Baseline (Day 1) and Weeks 8, 12, 28, 52
|
CKD-AQ is 21-item patient reported outcome measure assessing symptoms and symptom impact in participants with anemia associated with CKD.
It had 3 domains: 1.Tired/Low Energy (LE)/Weak scale consisting of 10 items; 2.Chest Pain (CP)/Shortness of Breath (SOB) scale consisting of 4 items; and 3.Cognitive (Cog) scale consisting of 3 items.
The 4 CKD-AQ single items are: shortness of breath, no activity; severity-short breath (S-SB), resting; difficulty standing (diff.
std.)for long time (LT) and difficulty sleeping (diff sleep).
Single-item were recorded based on a 0-100 scoring with 0=worst possible and 100=best possible score.
Three domains scores were calculated as average of items in each domain and ranged from 0-100 where 0=worst possible and 100=best possible score.
Change from Baseline was calculated as on-treatment visit value minus Baseline value.
Baseline was defined as the latest non-missing pre-dose assessment on or before the randomization date.
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Baseline (Day 1) and Weeks 8, 12, 28, 52
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Change From Baseline in On-treatment Patient Global Impression of Severity (PGI-S) at Weeks 8, 12, 28, 52
Time Frame: Baseline (Pre-dose on Day 1), Weeks 8, 12, 28 and 52
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The PGI-S is a 1-item questionnaire designed to assess participant's impression of disease severity on a 5-point disease severity scale (0=absent, 1=mild, 2=moderate, 3=severe, or 4=very severe).
A higher score indicated more disease severity.
Change from Baseline was calculated as on-treatment visit value minus Baseline value.
Baseline was defined as the latest non-missing pre-dose assessment on or before the randomization date.
|
Baseline (Pre-dose on Day 1), Weeks 8, 12, 28 and 52
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Change From Baseline in Post-randomization Estimated Glomerular Filtration Rate (eGFR) at Week 52
Time Frame: Baseline (Pre-dose on Day 1) and Week 52
|
Blood samples were collected to analyze estimated glomerular filtration rate.
Change from Baseline was calculated as post-Baseline visit value minus Baseline value.
Baseline was defined as the latest non-missing pre-dose assessment on or before the randomization date.
|
Baseline (Pre-dose on Day 1) and Week 52
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Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Investigators
- Study Director: GSK Clinical Trials, GlaxoSmithKline
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
- Natale P, Palmer SC, Jaure A, Hodson EM, Ruospo M, Cooper TE, Hahn D, Saglimbene VM, Craig JC, Strippoli GF. Hypoxia-inducible factor stabilisers for the anaemia of chronic kidney disease. Cochrane Database Syst Rev. 2022 Aug 25;8(8):CD013751. doi: 10.1002/14651858.CD013751.pub2.
- Perkovic V, Blackorby A, Cizman B, Carroll K, Cobitz AR, Davies R, DiMino TL, Jha V, Johansen KL, Lopes RD, Kler L, Macdougall IC, McMurray JJV, Meadowcroft AM, Obrador GT, Solomon S, Taft L, Wanner C, Waikar SS, Wheeler DC, Wiecek A, Singh AK. The ASCEND-ND trial: study design and participant characteristics. Nephrol Dial Transplant. 2022 Oct 19;37(11):2157-2170. doi: 10.1093/ndt/gfab318.
- Ajay K. Singh, Kevin Carroll, John J. V. McMurray, Scott Solomon, Vivekanand Jha, Kirsten L. Johansen, Renato D. Lopes, Iain C. Macdougall, Gregorio T. Obrador, Sushrut S. Waikar, Christoph Wanner, David C. Wheeler, Andrzej Wiecek, Allison Blackorby, Borut Cizman, Alexander R. Cobitz, Rich Davies, Tara L. DiMino, Lata Kler, Amy M. Meadowcroft, Lin Taft, Vlado Perkovic for the ASCEND-ND Study Group. DAPRODUSTAT FOR THE TREATMENT OF ANEMIA IN PATIENTS NOT UNDERGOING DIALYSIS. N Engl J Med. 2021; DOI: 10.1056/NEJMoa2113380 PMID: 34739196
- Singh AK, Carroll K, McMurray JJV, Solomon S, Jha V, Johansen KL, Lopes RD, Macdougall IC, Obrador GT, Waikar SS, Wanner C, Wheeler DC, Wiecek A, Blackorby A, Cizman B, Cobitz AR, Davies R, DiMino TL, Kler L, Meadowcroft AM, Taft L, Perkovic V; ASCEND-ND Study Group. Daprodustat for the Treatment of Anemia in Patients Not Undergoing Dialysis. N Engl J Med. 2021 Dec 16;385(25):2313-2324. doi: 10.1056/NEJMoa2113380. Epub 2021 Nov 5.
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
September 27, 2016
Primary Completion (Actual)
April 19, 2021
Study Completion (Actual)
April 19, 2021
Study Registration Dates
First Submitted
August 19, 2016
First Submitted That Met QC Criteria
August 19, 2016
First Posted (Estimated)
August 24, 2016
Study Record Updates
Last Update Posted (Actual)
April 2, 2024
Last Update Submitted That Met QC Criteria
April 1, 2024
Last Verified
March 1, 2024
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
- Pathologic Processes
- Urologic Diseases
- Disease Attributes
- Hematologic Diseases
- Renal Insufficiency
- Chronic Disease
- Female Urogenital Diseases
- Female Urogenital Diseases and Pregnancy Complications
- Urogenital Diseases
- Male Urogenital Diseases
- Kidney Diseases
- Renal Insufficiency, Chronic
- Anemia
- Hematinics
- Darbepoetin alfa
Other Study ID Numbers
- 200808
- 2016-000542-65 (EudraCT Number)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
YES
IPD Plan Description
Qualified researchers may request access to anonymized individual patient-level data (IPD) and related study documents of the eligible studies via the Data Sharing Portal.
Details on GSK's data sharing criteria can be found at: https://www.gsk.com/en-gb/innovation/trials/data-transparency/
IPD Sharing Time Frame
Anonymized IPD is made available within 6 months of publication of primary, key secondary and safety results for studies in product with approved indication(s) or terminated asset(s) across all indications.
IPD Sharing Access Criteria
Anonymized IPD is shared with researchers whose proposals are approved by an Independent Review Panel and after a Data Sharing Agreement is in place.
Access is provided for an initial period of 12 months but an extension may be granted, when justified, for up to 6 months.
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
- SAP
- ICF
- CSR
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Yes
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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