Dapagliflozin Evaluation to Improve the LIVEs of Patients With PReserved Ejection Fraction Heart Failure. (DELIVER)

July 10, 2023 updated by: AstraZeneca

An International, Double-blind, Randomised, Placebo-Controlled Phase III Study to Evaluate the Effect of Dapagliflozin on Reducing CV Death or Worsening Heart Failure in Patients With Heart Failure With Preserved Ejection Fraction (HFpEF)

This is an international, multicentre, parallel-group, event-driven, randomised, double-blind, placebo-controlled study in HFpEF patients, evaluating the effect of dapagliflozin 10 mg versus placebo, given once daily in addition to background regional standard of care therapy, including treatments to control co-morbidities, in reducing the composite of CV death or heart failure events.

Study Overview

Detailed Description

This is an international, multicentre, parallel-group, event-driven, randomised, double-blind study in patients with HFpEF, evaluating the effect of dapagliflozin 10 mg versus placebo, given once daily in addition to background regional standard of care therapy, including treatments to control co-morbidities, in reducing the composite of CV death and heart failure events (hospitalisations for HF or urgent HF visits). Adult patients aged ≥40 years with HFpEF (LVEF >40% and evidence of structural heart disease) and New York Heart Association (NYHA) class II-IV who are eligible according to the inclusion/exclusion criteria will be randomised in a 1:1 ratio to receive either dapagliflozin 10 mg or placebo. Both out-patients and in-patients hospitalised for heart failure and off intravenous heart failure-therapy for 24 hours can be randomised. It is estimated that approximately 11000 patients at approximately 400-500 sites in 20-25 countries will need to be enrolled to reach the target of approximately 6100 randomised patients.

Study Type

Interventional

Enrollment (Actual)

6263

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

      • Buenos Aires, Argentina, C1426ABP
        • Research Site
      • Caba, Argentina, 1426
        • Research Site
      • Caba, Argentina, C1119ACN
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      • Caba, Argentina, C1425AGC
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      • Caba, Argentina, C1120AAC
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      • Catamarca, Argentina, K4700
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      • Ciudad Autonoma de Buenos Aire, Argentina, C1407GTN
        • Research Site
      • Cordoba, Argentina, 5003
        • Research Site
      • Cordoba, Argentina, X5000AAW
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      • Cordoba, Argentina, X5003DCP
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      • Cordoba, Argentina, X5006CBI
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      • Corrientes, Argentina, W3400AMZ
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      • Córdoba, Argentina, X5004BAL
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      • Mar del Plata, Argentina, 7600
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      • Ramos Mejía, Argentina, B1704ETD
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      • Rosario, Argentina, 2000
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      • San Miguel de Tucuman, Argentina, 4000
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      • San Nicolás, Argentina, B2900DMH
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      • Santa Fe, Argentina, S3000FWO
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      • Aalst, Belgium, 9300
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      • Brasschaat, Belgium, 2930
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      • Bruxelles, Belgium, 1200
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      • Huy, Belgium, 4500
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      • Kortrijk, Belgium, 8500
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      • Leuven, Belgium, 3000
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      • Belo Horizonte, Brazil, 30150-240
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      • Belo Horizonte, Brazil, 30210-090
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      • Blumenau, Brazil, 89020-430
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      • Campina Grande do Sul, Brazil, 83430000
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      • Campinas, Brazil, 13060-080
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      • Campinas, Brazil, 13010-001
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      • Curitiba, Brazil, 80230-130
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      • Porto Alegre, Brazil, 90020090
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      • Porto Alegre, Brazil, 90035-903
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      • Rio de Janeiro, Brazil, 20241-180
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      • Santo Andre, Brazil, 09080-110
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      • Sao Paulo, Brazil, 01141-020
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      • Votuporanga, Brazil, 15500-003
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      • Dimitrovgrad, Bulgaria, 6400
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      • Haskovo, Bulgaria
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      • Kozloduy, Bulgaria, 3320
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      • Pazardzhik, Bulgaria, 4400
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      • Pleven, Bulgaria, 5800
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      • Plovdiv, Bulgaria, 4004
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      • Sofia, Bulgaria, 1431
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      • Sofia, Bulgaria, 1784
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      • Sofia, Bulgaria, 1309
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      • Sofia, Bulgaria, 1606
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      • Sofia, Bulgaria, 1463
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      • Sofia, Bulgaria, 1700
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      • Stara Zagora, Bulgaria, 6000
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    • Manitoba
      • Winnipeg, Manitoba, Canada, R2H 2A6
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    • Ontario
      • Brampton, Ontario, Canada, L6Z 4N5
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      • Brampton, Ontario, Canada, L6W 2X7
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      • Burlington, Ontario, Canada, L7M 4Y1
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      • Cambridge, Ontario, Canada, N1R 6V6
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      • Hamilton, Ontario, Canada, L8L 2X2
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      • Newmarket, Ontario, Canada, L3Y 2P6
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      • North York, Ontario, Canada, M6B 3H7
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      • Oshawa, Ontario, Canada, L1J 2K1
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      • Port Perry, Ontario, Canada, L9L 1L1
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      • Scarborough, Ontario, Canada, M1B 4Z8
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      • Toronto, Ontario, Canada, M5B 1W8
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      • Toronto, Ontario, Canada, M3N 1N1
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      • Toronto, Ontario, Canada, M6G 1M2
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      • Toronto, Ontario, Canada, M6N 1B5
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      • Waterloo, Ontario, Canada, N2T 0C1
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      • York, Ontario, Canada, M9N 1W4
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    • Quebec
      • Laval, Quebec, Canada, H7M 3L9
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      • Montreal, Quebec, Canada, H1T 1C8
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      • Saint-Jerome, Quebec, Canada, J7Z 5T3
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      • Terrebonne, Quebec, Canada, J6V 2H2
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      • Trois-Rivieres, Quebec, Canada, G8Z 3R9
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      • Baotou, China, 014010
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      • Beijing, China, 100853
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      • Beijing, China, 100029
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      • Beijing, China, 100049
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      • Cangzhou, China, 061001
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      • Changchun, China, 130021
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      • Changchun, China, 130033
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      • Chengdu, China, 610041
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      • Chifeng, China, 024000
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      • Dalian, China, 116011
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      • Daqing, China, 163000
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      • Fuzhou, China, 350025
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      • Fuzhou, China, 350031
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      • Guangzhou, China, 510120
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      • Guangzhou, China, 510100
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      • Haerbin, China, 150001
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      • Jinan, China, 250013
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      • Lanzhou, China, 730030
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      • Nanchang, China, 330006
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      • Nanjing, China, 2100008
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      • Nanjing, China, 210009
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      • Nanjing, China, 210011
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      • Pingxiang, China, 337055
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      • Shanghai, China, 200025
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      • Shanghai, China, 200062
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      • Shanghai, China, 200090
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      • Shenyang, China, 110015
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      • Tianjin, China, 300457
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      • Tianjin, China, 300000
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      • Tianjin, China, 300211
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      • Wuhan, China, 430000
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      • Nyíregyháza, Hungary, 4400
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      • Szekszárd, Hungary, 7100
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      • Szentes, Hungary, 6600
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      • Szolnok, Hungary, 5000
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      • Székesfehérvár, Hungary, 8000
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      • Zalaegerszeg, Hungary, 8900
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      • Adachi-ku, Japan, 123-0845
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      • Ichinomiya-shi, Japan, 494-0001
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      • Iwakuni-shi, Japan, 740-8510
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      • Kanazawa-shi, Japan, 920-8650
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      • Kasugai-shi, Japan, 487-0016
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      • Kawasaki-shi, Japan, 210-0852
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      • Kishiwada-shi, Japan, 596-8522
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      • Kobe-shi, Japan, 654-0155
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      • Koga-shi, Japan, 306-0041
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      • Kuki-shi, Japan, 346-0021
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      • Kure-shi, Japan, 737-0023
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      • Kyoto-shi, Japan, 612-8555
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      • Matsumoto-shi, Japan, 390-8621
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      • Mito-shi, Japan, 311-4198
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      • Miura-gun, Japan, 240-0116
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      • Nakagami-gun, Japan, 901-2393
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      • Nishinomiya-shi, Japan, 663-8501
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      • Oita-shi, Japan, 870-0855
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      • Saga-shi, Japan, 840-8571
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      • Sagamihara-shi, Japan, 252-5188
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      • Sapporo-shi, Japan, 063-0005
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      • Shinagawa-ku, Japan, 140-8522
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      • Suita-shi, Japan, 564-8565
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      • Takamatsu-shi, Japan, 760-0018
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      • Takasago-shi, Japan, 676-0812
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      • Toride-shi, Japan, 302-0022
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      • Tsu-shi, Japan, 514-1101
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      • Tsuchiura-shi, Japan, 300-0028
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      • Ueda-shi, Japan, 386-8610
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      • Ureshino-shi, Japan, 843-0393
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      • Utsunomiya-shi, Japan, 320-8580
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      • Aguascalientes, Mexico, 20230
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      • Culiacán, Mexico, 80200
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      • Guadalajara, Mexico, 44210
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      • Mazatlán, Mexico, 82000
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      • Mexico, Mexico, 06700
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      • Monclova, Mexico, 25750
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      • Monterey, Mexico, 64060
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      • Monterrey, Mexico, 64020
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      • México, Mexico, 11650
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      • Querétaro, Mexico, 76000
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      • Tijuana, Mexico, 22150
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      • Veracruz, Mexico, 91900
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      • Veracruz, Mexico, 91910
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      • Amsterdam, Netherlands, 1061 AE
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      • Arnhem, Netherlands, 6815 AD
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      • Den Haag, Netherlands, 2545 AA
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      • Dordrecht, Netherlands, 3318 AT
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      • Groningen, Netherlands, 9700 RB
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      • Heerlen, Netherlands, 6419 PC
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      • Leiderdorp, Netherlands, 2353 GA
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      • Meppel, Netherlands, 7943 KA
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      • Rotterdam, Netherlands, 3083 AN
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      • Uden, Netherlands, 5406 PT
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      • Veldhoven, Netherlands, 5504 DB
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      • Bellavista, Peru, CALLAO 2
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      • Callao, Peru, CALLAO 2
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      • Chancay, Peru, 15131
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      • Chorrillos, Peru, Lima 9
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      • Lima, Peru, LIMA 41
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      • Lima, Peru, 14
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      • Lima, Peru, LIMA 1
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      • Lima, Peru, LIMA 31
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      • Lima, Peru, 15088
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      • Lima, Peru, L11
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      • Lima, Peru, L18
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      • San Isidro, Peru, 15073
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      • Urb. El Chipe, Peru, 20007
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      • Białystok, Poland, 15-111
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      • Bochnia, Poland, 32-700
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      • Chojnice, Poland, 89-600
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      • Gdańsk, Poland, 80-286
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      • Gdynia, Poland, 81-157
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      • Gdynia, Poland, 81-423
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      • Jasło, Poland, 38-200
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      • Katowice, Poland, 40-081
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      • Lublin, Poland, 20-044
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      • Opole, Poland, 45-056
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      • Oława, Poland, 55-200
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      • Płock, Poland, 09-402
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      • Rzeszów, Poland, 35-055
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      • Torun, Poland, 87-100
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      • Wroclaw, Poland, 50-981
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      • Łódź, Poland, 92-213
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      • Brasov, Romania, 500365
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      • Craiova, Romania, 200642
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      • Iasi, Romania, 700304
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      • Iasi, Romania, 700400
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      • Iasi, Romania, 700515
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      • Tg Mures, Romania, 540143
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      • Chelyabinsk, Russian Federation, 454091
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      • Moscow, Russian Federation, 119991
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      • Moscow, Russian Federation, 121552
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      • Moscow, Russian Federation, 109263
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      • Moscow, Russian Federation, 111539
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      • Moscow, Russian Federation, 117292
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      • Novosibirsk, Russian Federation, 630055
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      • Perm, Russian Federation, 614056
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      • Ryazan, Russian Federation, 390039
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      • Saint Petersburg, Russian Federation, 198260
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      • Saint-Petersburg, Russian Federation, 199226
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      • Saint-Petersburg, Russian Federation, 191015
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      • Saint-Petersburg, Russian Federation, 194354
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      • Tver, Russian Federation, 170036
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      • Dammam, Saudi Arabia, 31463
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      • Jeddah, Saudi Arabia, 22252
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      • Jeddah, Saudi Arabia, 21499
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      • Riyadh, Saudi Arabia, 11426
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      • Riyadh, Saudi Arabia, 11462
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      • Riyadh, Saudi Arabia, 11525
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      • A Coruña, Spain, 15006
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      • Barcelona, Spain, 08003
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      • Hospitalet de Llobregat(Barcel, Spain, 08907
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      • Madrid, Spain, 28041
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      • Madrid, Spain, 28040
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      • Sanlúcar De Barrameda (Cádiz), Spain, 11540
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      • Santiago(A Coruña), Spain, 15706
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      • Sevilla, Spain, 41071
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      • Valencia, Spain, 46010
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      • Valencia, Spain, 46026
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      • Villamartín (Cádiz), Spain, 11650
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      • Hsinchu, Taiwan, 300
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      • Taichung, Taiwan, 40705
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      • Taichung, Taiwan
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      • Taichung, Taiwan, 40201
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      • Tainan, Taiwan, 704
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      • Taipei, Taiwan
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      • Taipei, Taiwan, 11217
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      • Taipei, Taiwan, 114
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      • Taipei City, Taiwan, 110
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      • Taoyuan City, Taiwan, 333
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    • Alabama
      • Fairhope, Alabama, United States, 36532
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      • Mobile, Alabama, United States, 36608
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      • Sheffield, Alabama, United States, 35660
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    • Arizona
      • Tucson, Arizona, United States, 85724
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    • Arkansas
      • Little Rock, Arkansas, United States, 72204
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    • California
      • Beverly Hills, California, United States, 90211
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      • Loma Linda, California, United States, 92357
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      • Los Angeles, California, United States, 90073
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    • Connecticut
      • Stamford, Connecticut, United States, 06905
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    • Florida
      • Clearwater, Florida, United States, 33756
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      • Miami, Florida, United States, 33155
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      • Naples, Florida, United States, 34102
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    • Georgia
      • Atlanta, Georgia, United States, 30303
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      • Chicago, Illinois, United States, 60612
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      • Gurnee, Illinois, United States, 60031
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    • Indiana
      • Anderson, Indiana, United States, 46011
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    • Kentucky
      • Louisville, Kentucky, United States, 40202
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    • Louisiana
      • Hammond, Louisiana, United States, 70403
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      • Houma, Louisiana, United States, 70360
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      • Monroe, Louisiana, United States, 71201
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    • Massachusetts
      • Boston, Massachusetts, United States, 02115
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      • Boston, Massachusetts, United States, 02114
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    • Michigan
      • Bay City, Michigan, United States, 48708
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      • Flint, Michigan, United States, 48532
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    • Minnesota
      • Minneapolis, Minnesota, United States, 55417
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      • Rochester, Minnesota, United States, 55905
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    • Missouri
      • Kansas City, Missouri, United States, 64111
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      • Kansas City, Missouri, United States, 64128
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      • Saint Louis, Missouri, United States, 63136
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    • Montana
      • Great Falls, Montana, United States, 59405
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    • Nevada
      • Las Vegas, Nevada, United States, 89106
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    • New Hampshire
      • Lebanon, New Hampshire, United States, 03756
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    • New Jersey
      • Bridgewater, New Jersey, United States, 08807
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    • New York
      • Buffalo, New York, United States, 14215
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      • New York, New York, United States, 10021
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      • New York, New York, United States, 10029
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    • North Carolina
      • Charlotte, North Carolina, United States, 28277
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      • Greensboro, North Carolina, United States, 27405
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      • Wilmington, North Carolina, United States, 28401
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    • Oklahoma
      • Oklahoma City, Oklahoma, United States, 73134
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    • Pennsylvania
      • Altoona, Pennsylvania, United States, 16601
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      • Doylestown, Pennsylvania, United States, 18901
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    • Rhode Island
      • Providence, Rhode Island, United States, 02908
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    • South Carolina
      • Charleston, South Carolina, United States, 29425
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    • South Dakota
      • Rapid City, South Dakota, United States, 57701
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    • Tennessee
      • Jackson, Tennessee, United States, 38301
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      • Nashville, Tennessee, United States, 37212
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      • Tullahoma, Tennessee, United States, 37388
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    • Texas
      • Beaumont, Texas, United States, 77701
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      • Humble, Texas, United States, 77338
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      • Sherman, Texas, United States, 75092
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    • Vermont
      • Burlington, Vermont, United States, 05401
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    • Virginia
      • Falls Church, Virginia, United States, 22042
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    • West Virginia
      • Morgantown, West Virginia, United States, 26506
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    • Wisconsin
      • Madison, Wisconsin, United States, 53705
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      • Hanoi, Vietnam, 100000
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      • Ho Chi Minh, Vietnam
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      • Ho Chi Minh, Vietnam, 700000
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      • Ho Chi Minh, Vietnam, 70000
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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

38 years to 128 years (Adult, Older Adult)

Accepts Healthy Volunteers

No

Description

Inclusion Criteria:

  1. Provision of signed informed consent prior to any study specific procedures.
  2. Male or female patients age ≥40 years.
  3. Documented diagnosis of symptomatic heart failure (NYHA class II-IV) at enrolment, and a medical history of typical symptoms/signs of heart failure ≥6 weeks before enrolment with at least intermittent need for diuretic treatment.
  4. Left Ventricular Ejection Fraction (LVEF) >40% and evidence of structural heart disease (i.e. left ventricular hypertrophy or left atrial enlargement ) documented by the most recent echocardiogram, and/or cardiac MR within the last 12 months prior to enrolment. For patients with prior acute cardiac events or procedures that may reduce LVEF, e.g. as defined in exclusion criterion 6, qualifying cardiac imaging assessment at least 12 weeks following the procedure/event is required.
  5. Elevated NT-pro BNP levels.
  6. Both ambulatory and hospitalised patients may be enrolled and randomised. Patients currently hospitalised for HF, must be off intravenous HF medications for at least 24 before randomisation.

Further details regarding inclusion criteria 4-6 may apply.

Exclusion Criteria:

  1. Receiving therapy with an SGLT2 inhibitor within 4 weeks prior to randomisation or previous intolerance to an SGLT2 inhibitor.
  2. Type 1 diabetes mellitus (T1D).
  3. eGFR <25 mL/min/1.73 m2 (CKD-EPI formula) at Visit 1.
  4. Systolic blood pressure (BP) <95 mmHg on 2 consecutive measurements at 5-minute intervals, at Visit 1 or at Visit 2.
  5. Systolic BP≥160 mmHg if not on treatment with ≥3 blood pressure lowering medications or ≥180 mmHg irrespective of treatments, on 2 consecutive measurements at 5-minute intervals, at Visit 1 or at Visit 2.
  6. MI, unstable angina, coronary revascularization (percutaneous coronary intervention (PCI) or coronary artery bypass grafting (CABG)), ablation of atrial flutter/fibrillation, valve repair/replacement within 12 weeks prior to enrolment. Before enrolment, these patients must have their qualifying echocardiography and/or cardiac MRI examination at least 12 weeks after the event.
  7. Planned coronary revascularization, ablation of atrial flutter/fibrillation and valve repair/replacement.
  8. Stroke or transient ischemic attack (TIA) within 12 weeks prior to enrolment.
  9. Probable alternative or concomitant diagnoses which in the opinion of the investigator could account for the patient's HF symptoms and signs (e.g. anaemia, hypothyroidism).
  10. Body mass index >50 kg/m2.

Further exclusion criteria may apply

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: Quadruple

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Dapagliflozin
Patients will be randomized 1:1 to either dapagliflozin or placebo.
10 mg tablets given once daily, per oral use.
Other Names:
  • Forxiga TM
  • Farxiga TM
Placebo Comparator: Placebo
Placebo matching dapagliflozin.
Placebo matching dapagliflozin 10 mg

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Subjects Included in the Composite Endpoint of CV Death, Hospitalization Due to Heart Failure or Urgent Visit Due to Heart Failure.
Time Frame: Up to 42.1 months

Dual primary efficacy

Primary endpoint analysed in all patients randomised (Full analysis set).

The analysis was assessed on Full Analysis Set, including events occurring on or prior to Primary Analysis Censoring Date.

Up to 42.1 months
Subjects Included in the Composite Endpoint of CV Death, Hospitalization Due to Heart Failure or Urgent Visit Due to Heart Failure for LVEF <60% Subpopulation
Time Frame: Up to 42.1 months

Dual primary efficacy

Primary endpoint analysed in all patients randomised with LVEF < 60% at baseline.

The analysis was assessed on Full Analysis Set, including events occurring on or prior to Primary Analysis Censoring Date.

Up to 42.1 months

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Events Included in the Composite Endpoint of CV Death or Recurrent Heart Failure Event (Hospitalization Due to Heart Failure or Urgent Heart Failure Visit)
Time Frame: Up to 42.1 months

Secondary efficacy

Total number of heart failure events (first and recurrent) and cardiovascular death, analysed in all randomized patients.

The analysis was assessed on Full Analysis Set, including events occurring on or prior to Primary Analysis Censoring Date.

Up to 42.1 months
Events Included in the Composite Endpoint of CV Death or Recurrent Heart Failure Event (Hospitalization Due to Heart Failure or Urgent Heart Failure Visit) for LVEF <60% Subpopulation
Time Frame: Up to 42.1 months

Secondary efficacy

Total number of heart failure events (first and recurrent) and cardiovascular death, analysed in all randomized patients with LVEF < 60% at baseline

The analysis was assessed on Full Analysis Set, including events occurring on or prior to Primary Analysis Censoring Date.

Up to 42.1 months
Change From Baseline in the KCCQ Total Symptom Score at 8 Months
Time Frame: Baseline and 8 months or death before 8 months
KCCQ is a 23-item, self-administered instrument that quantifies physical function, symptoms (frequency, severity and recent change), social function, self-efficacy and knowledge, and quality of life. The KCCQ Total Symptom Score incorporates the symptom domains into a single score. Scores are transformed to a range of 0-100, in which higher scores reflect better health status.
Baseline and 8 months or death before 8 months
Subjects Included in the Endpoint of Cardiovascular Death
Time Frame: Up to 42.1 months

Secondary efficacy

The analysis was assessed on Full Analysis Set, including deaths occurring on or prior to Primary Analysis Censoring Date.

Up to 42.1 months
Subjects Included in the Endpoint of All-cause Mortality
Time Frame: Up to 42.1 months

Secondary efficacy

The analysis was assessed on Full Analysis Set, including deaths occurring on or prior to Primary Analysis Censoring Date.

Up to 42.1 months

Other Outcome Measures

Outcome Measure
Measure Description
Time Frame
Serious adverse events (SAEs), adverse events leading to treatment discontinuation (DAEs), amputations, adverse events (AEs) leading to amputation and potential risk factor AEs for amputations affecting lower limbs
Time Frame: up to approximately 39 months
Safety: To evaluate the safety and tolerability of dapagliflozin compared to placebo in patients with HFpEF
up to approximately 39 months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

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

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)

August 27, 2018

Primary Completion (Actual)

March 27, 2022

Study Completion (Actual)

March 27, 2022

Study Registration Dates

First Submitted

August 2, 2018

First Submitted That Met QC Criteria

August 2, 2018

First Posted (Actual)

August 7, 2018

Study Record Updates

Last Update Posted (Actual)

July 11, 2023

Last Update Submitted That Met QC Criteria

July 10, 2023

Last Verified

July 1, 2023

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

YES

IPD Plan Description

Qualified researchers can request access to anonymized individual patient-level data from AstraZeneca group of companies sponsored clinical trials via the request portal. All request will be evaluated as per the AZ disclosure commitment: https://astrazenecagrouptrials.pharmacm.com/ST/Submission/Disclosure Yes, indicates that AZ are accepting requests for IPD, but this does not mean all requests will be shared.

IPD Sharing Time Frame

AstraZeneca will meet or exceed data availability as per the commitments made to the EFPIA Pharma Data Sharing Principles. For details of our timelines, please rerefer to our disclosure commitment at https://astrazenecagrouptrials.pharmacm.com/ST/Submission/Disclosure

IPD Sharing Access Criteria

When a request has been approved AstraZeneca will provide access to the de-identified individual patient-level data in an approved sponsored tool . Signed Data Sharing Agreement (non-negotiable contract for data accessors) must be in place before accessing requested information. Additionally, all users will need to accept the terms and conditions of the SAS MSE to gain access. For additional details, please review the Disclosure Statements at https://astrazenecagrouptrials.pharmacm.com/ST/Submission/Disclosure

IPD Sharing Supporting Information Type

  • STUDY_PROTOCOL
  • SAP

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

Yes

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

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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