- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT02540993
Efficacy and Safety of Finerenone in Subjects With Type 2 Diabetes Mellitus and Diabetic Kidney Disease (FIDELIO-DKD)
July 20, 2023 updated by: Bayer
A Randomized, Double-blind, Placebo-controlled, Parallel-group, Multicenter, Event-driven Phase 3 Study to Investigate the Safety and Efficacy of Finerenone, in Addition to Standard of Care, on the Progression of Kidney Disease in Subjects With Type 2 Diabetes Mellitus and the Clinical Diagnosis of Diabetic Kidney Disease
The primary objective of this study was to demonstrate whether, in addition to standard of care, finerenone is superior to placebo in delaying the progression of kidney disease, as measured by the composite endpoint of time to first occurrence of kidney failure, a sustained decrease of estimated glomerular filtration rate (eGFR) ≥40% from baseline over at least 4 weeks, or renal death.
Study Overview
Status
Completed
Conditions
Intervention / Treatment
Study Type
Interventional
Enrollment (Actual)
5734
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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Córdoba, Argentina, X5000JHQ
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Córdoba, Argentina, X5000AAW Córdoba
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San Luis, Argentina, D5702AAx
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Buenos Aires
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Junín, Buenos Aires, Argentina, B6000GMA
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Lanús, Buenos Aires, Argentina, B1824KAJ
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Mar del Plata, Buenos Aires, Argentina, B7602CBM
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Sarandí, Buenos Aires, Argentina, 1872
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Ciudad Auton. De Buenos Aires
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Buenos Aires, Ciudad Auton. De Buenos Aires, Argentina, C1056ABJ
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Buenos Aires, Ciudad Auton. De Buenos Aires, Argentina, C1426ABP
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Buenos Aires, Ciudad Auton. De Buenos Aires, Argentina, C1428ART
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Buenos Aires, Ciudad Auton. De Buenos Aires, Argentina, C1429BWN
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Caba, Ciudad Auton. De Buenos Aires, Argentina, C1018DES
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Ciudad Autón. de Buenos Aires, Ciudad Auton. De Buenos Aires, Argentina, C1425AGC
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Box Hill, Australia, 3128
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Elizabeth Vale, Australia, 5112
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Australian Capital Territory
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Garran, Australian Capital Territory, Australia, 2605
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New South Wales
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Gosford, New South Wales, Australia, 2250
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Liverpool, New South Wales, Australia, 2170
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New Lambton, New South Wales, Australia, 2305
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Wollongong, New South Wales, Australia, 2500
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South Australia
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Adelaide, South Australia, Australia, 5000
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Victoria
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Fitzroy, Victoria, Australia, 3065
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Heidelberg, Victoria, Australia, 3081
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Reservoir, Victoria, Australia, 3073
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Richmond, Victoria, Australia, 3121
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St. Albans, Victoria, Australia, 3021
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Innsbruck, Austria, 6020
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Salzburg, Austria, 5020
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St. Pölten, Austria, 3100
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Wels, Austria, 4600
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Wien, Austria, 1030
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Wien, Austria, 1130
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Wien, Austria, 1090
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Wien, Austria, 1060
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Oberösterreich
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Linz, Oberösterreich, Austria, 4020
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Linz, Oberösterreich, Austria, 4021
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Steiermark
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Graz, Steiermark, Austria, 8036
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Saint Stefan, Steiermark, Austria, 8511
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Vorarlberg
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Feldkirch, Vorarlberg, Austria, 6807
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Antwerpen, Belgium, 2060
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Bruxelles - Brussel, Belgium, 1070
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Edegem, Belgium, 2650
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Gent, Belgium, 9000
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Ieper, Belgium, 8900
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Kortrijk, Belgium, 8500
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Leuven, Belgium, 3000
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Liege, Belgium, 4000
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Roeselare, Belgium, 8800
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Minas Gerais, Brazil, 38400-368
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Rio de Janeiro, Brazil, 20241-180
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Rio de Janeiro, Brazil, 21941-913
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Sao Paulo, Brazil, 01223-001
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Sao Paulo, Brazil, 01228-200
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Sao Paulo, Brazil, 04039-000
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Bahia
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Feira de Santana, Bahia, Brazil, 44001-584
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Salvador, Bahia, Brazil, 40415-065
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Ceará
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Fortaleza, Ceará, Brazil, 60115-282
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Fortaleza, Ceará, Brazil, 60430-140
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Fortaleza, Ceará, Brazil
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Distrito Federal
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Brasilia, Distrito Federal, Brazil, 70.200-730
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Goiás
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Aparecida de Goiania, Goiás, Brazil, 74935-530
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Goiania, Goiás, Brazil, 74605-020
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Minas Gerais
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Juiz de Fora, Minas Gerais, Brazil, 36036-330
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Parana
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Curitiba, Parana, Brazil, 80030-110
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Curitiba, Parana, Brazil, 80230-130
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Curitiba, Parana, Brazil, 80440-020
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Paraná, Parana, Brazil, 83430-000
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Rio Grande Do Sul
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Porto Alegre, Rio Grande Do Sul, Brazil, 90430-001
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Porto Alegre, Rio Grande Do Sul, Brazil, 90610-000
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Sao Paulo
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Santo Andre, Sao Paulo, Brazil
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São José do Rio Preto, Sao Paulo, Brazil, 15090-000
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São José dos Campos, Sao Paulo, Brazil, 12243-280
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São Paulo, Sao Paulo, Brazil
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Blagoevgrad, Bulgaria, 2700
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Botevgrad, Bulgaria, 2140
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Dimitrovgrad, Bulgaria, 6400
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Gorna Oryahovitsa, Bulgaria, 5100
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Kazanlak, Bulgaria, 6102
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Kozloduy, Bulgaria, 3320
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Lukovit, Bulgaria, 5770
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Plovdiv, Bulgaria, 4004
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Plovdiv, Bulgaria, 4002
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Plovdiv, Bulgaria, 4000
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Razgrad, Bulgaria, 7200
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Sliven, Bulgaria, 8800
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Smolyan, Bulgaria, 4700
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Sofia, Bulgaria, 1233
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Sofia, Bulgaria, 1431
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Sofia, Bulgaria, 1407
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Sofia, Bulgaria, 1680
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Stara Zagora, Bulgaria, 6000
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Varna, Bulgaria, 9000
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Yambol, Bulgaria, 8600
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Quebec, Canada, G1V 4W2
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British Columbia
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Burnaby, British Columbia, Canada, V3J 1N4
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Coquitlam, British Columbia, Canada, V3K 3P4
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New Westminster, British Columbia, Canada, V3L 0A6
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Newfoundland and Labrador
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Mount Pearl, Newfoundland and Labrador, Canada, A1N 2C3
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St. John's, Newfoundland and Labrador, Canada, A1A 3R5
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Nova Scotia
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Halifax, Nova Scotia, Canada, B3H 1V8
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Ontario
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Cambridge, Ontario, Canada, N1R 7L6
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Hamilton, Ontario, Canada, L8N 4A6
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Hamilton, Ontario, Canada, L8M 1K7
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Kitchener, Ontario, Canada, N2G 4V5
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Newmarket, Ontario, Canada, L3Y 5G8
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Oshawa, Ontario, Canada, L1G 2B9
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Ottawa, Ontario, Canada, K1K 4L2
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Sarnia, Ontario, Canada, N7T 4X3
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Smith Falls, Ontario, Canada, K7A 4W8
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Sudbury, Ontario, Canada, P3A 1W8
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Thornhill, Ontario, Canada, L4J 1W3
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Toronto, Ontario, Canada, M4G 3E8
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Toronto, Ontario, Canada, M5C 2T2
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Waterloo, Ontario, Canada, N2J 1C4
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Quebec
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Greenfield Park, Quebec, Canada, J4V 2H1
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Laval, Quebec, Canada, H7T 2P5
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Mirabel, Quebec, Canada, J7J 2K8
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Montreal, Quebec, Canada, H4A 3J1
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Montreal, Quebec, Canada, H3G 1A4
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Montreal, Quebec, Canada, H1M 1B1
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Montreal, Quebec, Canada, H2K 1H2
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Montreal, Quebec, Canada, H4A 3T2
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Montreal, Quebec, Canada, QC H4J 1C5
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Santiago, Chile, 8331143
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Santiago, Chile, 8380456
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Santiago, Chile, 8330008
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Los Lagos
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Osorno, Los Lagos, Chile, 5311092
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Santiago
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Las Condes, Santiago, Chile, 7591047
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Providencia, Santiago, Chile, 7500520
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Providencia, Santiago, Chile, 7500922
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Providencia, Santiago, Chile, 7500710
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San Bernardo, Santiago, Chile, 8053095
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San Miguel, Santiago, Chile, 8910108
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Beijing, China, 100730
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Beijing, China, 100010
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Chongqing, China, 400010
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Shanghai, China, 200025
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Shanghai, China, 200040
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Shanghai, China, 200092
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Shanghai, China, 200072
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Shanghai, China, 200240
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Shanghai, China, 201199
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Shanghai, China, 200333
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Tianjin, China, 300052
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Tianjin, China, 300121
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Tianjin, China, 300142
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Fujian
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Fuzhou, Fujian, China, 350025
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Xiamen, Fujian, China, 361003
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Xiamen, Fujian, China, 361004
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Gansu
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Lanzhou, Gansu, China, 730030
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Guangdong
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Guangzhou, Guangdong, China, 510080
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Guangzhou, Guangdong, China, 510120
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Guangzhou, Guangdong, China, 510405
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Guangzhou, Guangdong, China, 510150
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Guangzhou, Guangdong, China, 510630
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Zhuhai, Guangdong, China, 519000
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Guangxi
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Nanning, Guangxi, China, 530021
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Nanning, Guangxi, China, 530031
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Hainan
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Haikou, Hainan, China, 570311
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Haikou, Hainan, China, 570102
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Hubei
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Wuhan, Hubei, China, 430022
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Wuhan, Hubei, China, 430034
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Hunan
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Changsha, Hunan, China, 410011
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Changsha, Hunan, China, 410008
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Changsha, Hunan, China, 410000
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Jiangsu
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Changzhou, Jiangsu, China, 213004
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Huai'An, Jiangsu, China, 223300
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Lianyungang, Jiangsu, China, 222002
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Nanjing, Jiangsu, China, 210006
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Nanjing, Jiangsu, China, 210008
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Nanjing, Jiangsu, China, 210029
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Nanjing, Jiangsu, China, 210000
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Suzhou, Jiangsu, China, 215006
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Wuxi, Jiangsu, China, 214023
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Yancheng, Jiangsu, China, 224000
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Jiangxi
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Nanchang, Jiangxi, China, 330006
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Nanchang, Jiangxi, China, 330008
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Jilin
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Changchun, Jilin, China, 130000
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Liaoning
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Shenyang, Liaoning, China, 110016
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Shenyang, Liaoning, China, 110022
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Ningxia
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Yinchuan, Ningxia, China, 750004
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Shaanxi
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Xi'an, Shaanxi, China, 710061
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Shandong
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Qingdao, Shandong, China, 266000
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Qingdao, Shandong, China, 266071
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Shanxi
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Taiyuan, Shanxi, China, 030001
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Sichuan
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Chengdu, Sichuan, China, 610041
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Chengdu, Sichuan, China, 610072
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Zhejiang
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Hangzhou, Zhejiang, China, 310013
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Taizhou, Zhejiang, China, 317000
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Wenzhou, Zhejiang, China, 325000
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Floridablanca, Colombia
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Medellín, Colombia
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Antioquia
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Medellin, Antioquia, Colombia, 050023
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Medellín, Antioquia, Colombia
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Medellín, Antioquia, Colombia
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Medellín, Antioquia, Colombia, 050034
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Atlántico
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Baranquilla, Atlántico, Colombia, 080020
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Barranquilla, Atlántico, Colombia
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Barranquilla, Atlántico, Colombia, 080020
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Caldas
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Manizales, Caldas, Colombia
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Cundinamarca
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Zipaquira, Cundinamarca, Colombia, 250252
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Distrito Capital De Bogotá
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Bogotá, Distrito Capital De Bogotá, Colombia
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Cundinamarca, Distrito Capital De Bogotá, Colombia
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Quindío
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Armenia, Quindío, Colombia
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Valle Del Cauca
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Cali, Valle Del Cauca, Colombia, 760032
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Cali, Valle Del Cauca, Colombia
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Beroun, Czechia, 266 01
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Brandys nad Labem, Czechia, 250 01
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Breclav, Czechia, 690 02
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Ceska Lipa, Czechia, 470 01
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Cesky Krumlov, Czechia, 381 01
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Cesky Krumlov, Czechia, 381 27
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Frydek-Mistek, Czechia, 738 01
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Hodonin, Czechia, 695 01
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Holesov, Czechia, 769 01
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Hranice, Czechia, 753 01
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Koprivnice, Czechia, 742 21
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Krnov, Czechia, 794 01
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Mlada Boleslav, Czechia, 29301
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Olomouc, Czechia, 77900
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Olomouc, Czechia, 779 00
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Ostrava, Czechia, 702 00
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Plzen, Czechia, 301 66
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Prague 6, Czechia, 169 00
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Praha 2, Czechia, 12808
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Praha 4, Czechia, 140 00
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Praha 4, Czechia, 140 46
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Praha 5, Czechia, 150 00
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Vlasim, Czechia, 258 01
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Aalborg, Denmark, 9000
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Aarhus N, Denmark, 8200
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Esbjerg, Denmark, 6700
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Hellerup, Denmark, 2900
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Herlev, Denmark, 2730
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Hillerød, Denmark, 3400
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Holbæk, Denmark, 4300
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Holstebro, Denmark, DK-7500
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Hvidovre, Denmark, 2650
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Kolding, Denmark, 6000
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København NV, Denmark, 2400
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Odense C, Denmark, DK-5000
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Svendborg, Denmark, 5700
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Viborg, Denmark, 8800
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Jyväskylä, Finland, 40620
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Kajaani, Finland, 87140
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Kerava, Finland, 04200
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Klaukkala, Finland, 01800
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Kuopio, Finland, 70100
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Nurmijärvi, Finland, 01900
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Oulu, Finland, 90100
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Rauma, Finland, 26100
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Seinäjoki, Finland, 60100
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Tampere, Finland, 33520
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Turku, Finland, 20521
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Vantaa, Finland, 01600
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-
-
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Bois-guillaume, France, 76230
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Bordeaux, France, 33000
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Boulogne Sur Mer, France, 62321
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Brest, France, 29200
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COLMAR Cedex, France, 68024
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Dijon, France, 21000
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La Rochelle, France, 17019
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La Tronche, France, 38700
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Le Coudray, France, 28630
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Le Creusot, France, 71200
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Lyon Cedex, France, 69437
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Mulhouse, France, 68051
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Nîmes, France, 30029
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PESSAC cedex, France, 33608
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Paris, France, 75018
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Saint Herblain, France, 44093
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Saint Priest En Jarez, France, 42270
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Tourcoing, France, 59280
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Vandoeuvre-les-nancy, France, 54500
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Venissieux, France, 69200
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Berlin, Germany, 13347
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Berlin, Germany, 12203
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Berlin, Germany, 10437
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Berlin, Germany, 13187
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Hamburg, Germany, 22041
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Baden-Württemberg
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Heidelberg, Baden-Württemberg, Germany, 69115
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Ludwigsburg, Baden-Württemberg, Germany, 71640
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Bayern
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Schweinfurt, Bayern, Germany, 97421
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Würzburg, Bayern, Germany, 97080
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Brandenburg
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Elsterwerda, Brandenburg, Germany, 04910
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Hessen
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Bad König, Hessen, Germany, 64732
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Frankfurt, Hessen, Germany, 60313
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Frankfurt, Hessen, Germany, 60596
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Niedersachsen
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Göttingen, Niedersachsen, Germany, 37075
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Hannover, Niedersachsen, Germany, 30625
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Nordrhein-Westfalen
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Aachen, Nordrhein-Westfalen, Germany, 52074
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Bad Oeynhausen, Nordrhein-Westfalen, Germany, 32545
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Bochum, Nordrhein-Westfalen, Germany, 44787
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Dortmund, Nordrhein-Westfalen, Germany, 44137
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Duesseldorf, Nordrhein-Westfalen, Germany, 40210
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Düsseldorf, Nordrhein-Westfalen, Germany, 40225
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Essen, Nordrhein-Westfalen, Germany, 45136
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Münster, Nordrhein-Westfalen, Germany, 48145
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Nettetal, Nordrhein-Westfalen, Germany, 41334
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Witten, Nordrhein-Westfalen, Germany, 58455
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Rheinland-Pfalz
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Ludwigshafen, Rheinland-Pfalz, Germany, 67059
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Mainz, Rheinland-Pfalz, Germany, 55128
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Sachsen
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Dresden, Sachsen, Germany, 01307
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Dresden, Sachsen, Germany, 01277
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Hoyerswerda, Sachsen, Germany, 02977
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Leipzig, Sachsen, Germany, 04103
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Leipzig, Sachsen, Germany, 04249
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Thüringen
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Jena, Thüringen, Germany, 07747
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-
-
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Alexandroupolis, Greece, 68100
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Athens, Greece, 11527
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Athens, Greece, 14455
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Chaidari, Greece, 12462
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Larissa, Greece, 41100
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Nea Ionia, Greece, 14233
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Thessaloniki, Greece, 56403
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Thessaloniki, Greece, 54642
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-
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Hong Kong, Hong Kong
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Shatin, Hong Kong
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Sheung Wan, Hong Kong
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Wong Tai Sin, Hong Kong
-
-
-
-
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Baja, Hungary, 6500
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Balatonfured, Hungary, 8230
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Budapest, Hungary, 1134
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Budapest, Hungary, 1135
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Budapest, Hungary, 1088
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Budapest, Hungary, 1036
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Budapest, Hungary, 1042
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Budapest, Hungary, 1089
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Debrecen, Hungary, 4031
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Eger, Hungary, 3300
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Kistarcsa, Hungary, 2143
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Nyiregyhaza, Hungary, 4400
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Nyiregyhaza, Hungary, 4405
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Papa, Hungary, 8500
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Siofok, Hungary, 8600
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Szeged, Hungary
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Szekesfehervar, Hungary, 8000
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Szentes, Hungary, 6600
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Szombathely, Hungary, 9700
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Veszprem, Hungary, 8200
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-
-
-
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Cork, Ireland
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Dublin, Ireland, DUBLIN 4
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Dublin, Ireland, D07 R2WY
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Galway, Ireland
-
-
-
-
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Afula, Israel, 1834111
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Ashkelon, Israel, 7830604
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Beer Sheva, Israel, 8410101
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Hadera, Israel, 3810101
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Haifa, Israel, 3109601
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Holon, Israel, 5822012
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Jerusalem, Israel, 9112001
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Kfar Saba, Israel, 4428164
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Nahariya, Israel, 2210001
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Nahariya, Israel, 22100
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Nazareth, Israel, 16100
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Ramat Gan, Israel, 5262000
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Rehovot, Israel, 7610001
-
Sakhnin, Israel, 3081000
-
Tel Aviv, Israel, 6423906
-
Tel Aviv, Israel, 6203854
-
Tel Aviv, Israel, 6905234
-
Tel Aviv, Israel, 6937947
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Tiberias, Israel, 1528001
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Zefat, Israel, 1311001
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Zerifin, Israel, 7030000
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-
-
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Campania
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Napoli, Campania, Italy, 80131
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Emilia-Romagna
-
Bologna, Emilia-Romagna, Italy, 40138
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Parma, Emilia-Romagna, Italy, 43126
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Reggio Emilia, Emilia-Romagna, Italy, 42123
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Liguria
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Genova, Liguria, Italy, 16132
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Genova, Liguria, Italy, 16011
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Lombardia
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Bergamo, Lombardia, Italy, 24127
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Bergamo, Lombardia, Italy, 24020
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Bergamo, Lombardia, Italy, 24047
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Milano, Lombardia, Italy, 20132
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Milano, Lombardia, Italy, 20157
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Milano, Lombardia, Italy, 20142
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Milano, Lombardia, Italy, 20024
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Monza Brianza, Lombardia, Italy, 20832
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Piemonte
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Torino, Piemonte, Italy, 10043
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Torino, Piemonte, Italy, 10023
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Sardegna
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Cagliari, Sardegna, Italy, 09134
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Sassari, Sardegna, Italy, 07026
-
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Sicilia
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Catania, Sicilia, Italy, 95124
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Messina, Sicilia, Italy, 98125
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Veneto
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Padova, Veneto, Italy, 35128
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Verona, Veneto, Italy, 37126
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-
-
-
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Fukui, Japan, 910-8526
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Fukui, Japan, 918-8503
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Fukuoka, Japan, 811-0213
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Fukuoka, Japan, 814-0180
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Fukuoka, Japan, 815-8555
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Kagoshima, Japan, 890-8760
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Kumamoto, Japan, 861-4193
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Kumamoto, Japan, 861-8520
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Kumamoto, Japan, 862-0976
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Nagasaki, Japan, 852-8511
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Osaka, Japan, 530-0001
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Osaka, Japan, 530-8480
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Osaka, Japan, 558-8558
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Osaka, Japan, 543-0035
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Osaka, Japan, 553-0003
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Saitama, Japan, 331-8577
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Aichi
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Nagoya, Aichi, Japan, 457-8510
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Nagoya, Aichi, Japan, 460-0001
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Nagoya, Aichi, Japan, 451-8511
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Nagoya, Aichi, Japan, 456-0058
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Nagoya, Aichi, Japan, 466-8650
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Toyota, Aichi, Japan, 471-8513
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Chiba
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Funabashi, Chiba, Japan, 273-8588
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Ichikawa, Chiba, Japan, 272-8516
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Ehime
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Matsuyama, Ehime, Japan, 790-0024
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Matsuyama, Ehime, Japan, 791-8026
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Fukuoka
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Chikushino, Fukuoka, Japan, 818-8502
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Kasuga, Fukuoka, Japan, 816-0864
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Kitakyushu, Fukuoka, Japan, 802-8555
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Kitakyushu, Fukuoka, Japan, 800-0296
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Kitakyushu, Fukuoka, Japan, 805-8508
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Kitakyushu, Fukuoka, Japan, 807-0857
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Fukushima
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Shirakawa, Fukushima, Japan, 961-0005
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Gifu
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Ogaki, Gifu, Japan, 503-8502
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Gunma
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Maebashi, Gunma, Japan, 371-0821
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Hiroshima
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Higashihiroshima, Hiroshima, Japan, 739-0041
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Hokkaido
-
Asahikawa, Hokkaido, Japan, 078-8234
-
Hakodate, Hokkaido, Japan, 041-8680
-
Obihiro, Hokkaido, Japan, 080-0848
-
Sapporo, Hokkaido, Japan, 007-0841
-
-
Hyogo
-
Kobe, Hyogo, Japan, 650-0047
-
-
Ibaraki
-
Naka, Ibaraki, Japan, 311-0113
-
Ushiku, Ibaraki, Japan, 300-1207
-
-
Ishikawa
-
Komatsu, Ishikawa, Japan, 923-8560
-
-
Kagawa
-
Sanuki, Kagawa, Japan, 769-2393
-
Takamatsu, Kagawa, Japan, 760-0018
-
Takamatsu, Kagawa, Japan, 760-0017
-
-
Kanagawa
-
Atsugi, Kanagawa, Japan, 243-0035
-
Fujisawa, Kanagawa, Japan, 251-0041
-
Kamakura, Kanagawa, Japan, 247-8533
-
Yokohama, Kanagawa, Japan, 235-0045
-
Yokohama, Kanagawa, Japan, 245-8575
-
Yokohama, Kanagawa, Japan, 247-8581
-
-
Kumamoto
-
Tamana, Kumamoto, Japan, 865-0016
-
Yatsushiro, Kumamoto, Japan, 866-0824
-
-
Nagasaki
-
Sasebo, Nagasaki, Japan, 857-1195
-
-
Oita
-
Beppu, Oita, Japan, 874-0011
-
Yufu, Oita, Japan, 879-5593
-
-
Okinawa
-
Nakagami-gun, Okinawa, Japan, 901-2393
-
Shimajiri, Okinawa, Japan, 901-0493
-
-
Osaka
-
Suita, Osaka, Japan, 565-0862
-
-
Saitama
-
Kawaguchi, Saitama, Japan, 332-0012
-
Sayama, Saitama, Japan, 350-1305
-
-
Shiga
-
Otsu, Shiga, Japan, 520-0804
-
-
Shizuoka
-
Iwata, Shizuoka, Japan, 438-8550
-
-
Tochigi
-
Oyama, Tochigi, Japan, 323-0022
-
-
Tokyo
-
Minato, Tokyo, Japan, 108-0073
-
Musashino, Tokyo, Japan, 180-8610
-
Shibuya-ku, Tokyo, Japan, 150-0002
-
-
-
-
-
Busan, Korea, Republic of, 49241
-
Busan, Korea, Republic of, 47392
-
Daejeon, Korea, Republic of, 35015
-
Seoul, Korea, Republic of, 05278
-
Seoul, Korea, Republic of, 05505
-
Seoul, Korea, Republic of, 06351
-
Seoul, Korea, Republic of, 02841
-
Seoul, Korea, Republic of, 03722
-
Seoul, Korea, Republic of, 07441
-
Seoul, Korea, Republic of, 05355
-
Seoul, Korea, Republic of, 07061
-
Seoul,, Korea, Republic of, 01830
-
-
Gang''weondo
-
Chuncheon Si, Gang''weondo, Korea, Republic of
-
Wonju, Gang''weondo, Korea, Republic of, 26426
-
-
Gyeonggido
-
Anyang-si, Gyeonggido, Korea, Republic of, 14068
-
Goyang-si, Gyeonggido, Korea, Republic of, 10475
-
-
Incheon Gwang''yeogsi
-
Incheon Gwangyeogsi,, Incheon Gwang''yeogsi, Korea, Republic of, 21431
-
-
Seoul Teugbyeolsi
-
Seoul, Seoul Teugbyeolsi, Korea, Republic of, 03080
-
Seoul, Seoul Teugbyeolsi, Korea, Republic of, 17985
-
-
-
-
-
Kaunas, Lithuania, LT-45217
-
Kaunas, Lithuania, LT-48259
-
Kaunas, Lithuania, LT-49449
-
Klaipeda, Lithuania, LT-92304
-
Utena, Lithuania, LT-28142
-
Vilnius, Lithuania, LT-08661
-
-
-
-
-
Johor Bahru, Malaysia, 80100
-
Kelantan, Malaysia, 15200
-
Kelantan, Malaysia
-
Kuala Lumpur, Malaysia, 59100
-
Pahang, Malaysia, 25100
-
Perak, Malaysia, 30450
-
Perak, Malaysia, 32040
-
Pulau Pinang, Malaysia, 10450
-
Putrajaya, Malaysia, 62250
-
Selangor, Malaysia, 47000
-
-
-
-
-
Aguascalientes, Mexico, 20219
-
Chihuahua, Mexico, 31238
-
Ciudad de México, Mexico, 06726
-
-
Distrito Federal
-
Ciudad de México, Distrito Federal, Mexico, 6700
-
México D.F., Distrito Federal, Mexico, 14080
-
México, D. F., Distrito Federal, Mexico, 11850
-
México, D. F., Distrito Federal, Mexico, 3100
-
-
Jalisco
-
Guadalajara, Jalisco, Mexico, 44600
-
Guadalajara, Jalisco, Mexico, 44657
-
-
Morelos
-
Cuernavaca, Morelos, Mexico, 62250
-
-
Querétaro
-
Queretaro, Querétaro, Mexico, 76000
-
San Juan del Río, Querétaro, Mexico, 76800
-
-
Sinaloa
-
Culiacán, Sinaloa, Mexico, 80200
-
Culiacán, Sinaloa, Mexico, 80230
-
Mazatlán, Sinaloa, Mexico, 82110
-
-
Veracruz
-
Puerto de Veracruz, Veracruz, Mexico, 91900
-
Xalapa, Veracruz, Mexico, 91193
-
-
-
-
-
Alkmaar, Netherlands, 1815 JD
-
Almere, Netherlands, 1315 RA
-
Amersfoort, Netherlands, 3818 TZ
-
Amsterdam, Netherlands, 1105 AZ
-
Amsterdam, Netherlands, 1091 AC
-
Apeldoorn, Netherlands, 7334 DZ
-
Breda, Netherlands, 4818 CK
-
Den Haag, Netherlands, 2545 CH
-
Dordrecht, Netherlands, 3318 AT
-
Eindhoven, Netherlands, 5600 PD
-
Geleen, Netherlands, 6162 BG
-
Groningen, Netherlands, 9713 GZ
-
Hoogeveen, Netherlands, 7909 AA
-
Nieuwegein, Netherlands, 3435 CM
-
Zwijndrecht, Netherlands, 3331 LZ
-
-
-
-
-
Auckland, New Zealand, 2025
-
Auckland, New Zealand
-
Christchurch, New Zealand, 8011
-
Hamilton, New Zealand, 3204
-
Hawkes Bay, New Zealand, 4130
-
Palmerston North, New Zealand, 4414
-
Tauranga, New Zealand, 3110
-
Wellington, New Zealand
-
-
-
-
-
Hamar, Norway, 2317
-
Hamar, Norway
-
Kløfta, Norway, 2040
-
Kristiansand, Norway, 4604
-
Levanger, Norway, 7601
-
Oslo, Norway, 0450
-
Oslo, Norway, 0176
-
Skedsmokorset, Norway, 2020
-
Trondheim, Norway, 7030
-
Ålesund, Norway
-
-
-
-
-
Iloilo City, Philippines, 5000
-
Marikina City, Philippines
-
Pasig City, Philippines, 1600
-
Quezon City, Philippines, 1102
-
Quezon City, Philippines, 1110
-
Quezon City, Philippines, 1112
-
-
-
-
-
Bialystok, Poland, 15-351
-
Bydgoszcz, Poland, 85-079
-
Chojnice, Poland, 89-600
-
Gdansk, Poland, 80-214
-
Gdynia, Poland, 81-537
-
Katowice, Poland, 40-040
-
Krakow, Poland, 30-510
-
Krakow, Poland, 31-156
-
Krakow, Poland, 31-261
-
Krakow, Poland, 31-559
-
Lodz, Poland, 90-153
-
Lodz, Poland, 92-213
-
Lodz, Poland, 94-060
-
Lublin, Poland, 20-538
-
Olsztyn, Poland, 10-561
-
Poznan, Poland, 60-834
-
Rzeszów, Poland, 35-055
-
Skorzewo, Poland, 60-185
-
Szczecin, Poland, 70-111
-
Torun, Poland, 87-100
-
Warszawa, Poland
-
Warszawa, Poland, 01-868
-
Wroclaw, Poland, 51-162
-
Wroclaw, Poland, 51-685
-
Zabrze, Poland, 41-800
-
-
-
-
-
Almada, Portugal, 2801-951
-
Amadora, Portugal, 2720-276
-
Braga, Portugal, 4710-243
-
Faro, Portugal, 8000-386
-
Leiria, Portugal, 2410-197
-
Lisboa, Portugal, 1069-166
-
Lisboa, Portugal, 1250-189
-
Lisboa, Portugal, 1449-005
-
Lisboa, Portugal, 1500-650
-
Porto, Portugal, 4200-319
-
Porto, Portugal, 4099-001
-
Viana do Castelo, Portugal, 4901-858
-
-
Castelo Branco
-
Covilha, Castelo Branco, Portugal, 6200-251
-
-
Lisboa
-
Loures, Lisboa, Portugal, 2674-514
-
-
Porto
-
Matosinhos, Porto, Portugal, 4464-513
-
-
Região Autónoma Da Madeira
-
Funchal, Região Autónoma Da Madeira, Portugal, 9004-514
-
-
Santarém
-
Torres Novas, Santarém, Portugal, 2350-754
-
-
Setúbal
-
Setubal, Setúbal, Portugal, 2900-446
-
-
-
-
-
Cidra, Puerto Rico, 00739
-
San Juan, Puerto Rico, 00909-3004
-
-
-
-
-
Bucuresti, Romania, 010825
-
Bucuresti, Romania, 010507
-
Bucuresti, Romania, 010627
-
Bucuresti, Romania, 014142
-
Bucuresti, Romania, 020614
-
Bucuresti, Romania, 031818
-
Bucuresti, Romania, 050538
-
Cluj-Napoca, Romania, 400006
-
Galati, Romania, 800001
-
Iasi, Romania, 700547
-
Oradea, Romania, 410159
-
Satu Mare, Romania, 440192
-
Timisoara, Romania, 300736
-
-
Alba
-
Alba-Iulia, Alba, Romania, 510053
-
-
Maramures
-
Baia Mare, Maramures, Romania, 430222
-
-
Prahova
-
Ploiesti, Prahova, Romania, 100179
-
-
Timis
-
Timisoara, Timis, Romania, 300456
-
-
-
-
-
Arkhangelsk, Russian Federation, 163001
-
Barnaul, Russian Federation, 656024
-
Chelyabinsk, Russian Federation, 454021
-
Irkutsk, Russian Federation, 664079
-
Izhevsk, Russian Federation, 426063
-
Kazan, Russian Federation, 420012
-
Kazan, Russian Federation, 420101
-
Kemerovo, Russian Federation, 650002
-
Kemerovo, Russian Federation, 650055
-
Kemerovo, Russian Federation, 650066
-
Kirov, Russian Federation, 610014
-
Krasnodar, Russian Federation, 350086
-
Krasnoyarsk, Russian Federation, 660062
-
Kursk, Russian Federation, 305004
-
Moscow, Russian Federation, 111539
-
Moscow, Russian Federation, 119991
-
Moscow, Russian Federation, 123182
-
Moscow, Russian Federation, 125101
-
Moscow, Russian Federation, 129110
-
Moscow, Russian Federation, 117292
-
Moscow, Russian Federation, 119034
-
Moscow, Russian Federation, 123423
-
Moscow, Russian Federation, 125315
-
Nizhny Novgorod, Russian Federation, 603126
-
Nizhny Novgorod, Russian Federation, 603018
-
Novosibirsk, Russian Federation, 630089
-
Novosibirsk, Russian Federation, 630117
-
Novosibirsk, Russian Federation, 630047
-
Novosibirsk, Russian Federation, 630005
-
Omsk, Russian Federation, 644112
-
Omsk, Russian Federation, 644024
-
Omsk, Russian Federation, 644033
-
Orenburg, Russian Federation, 460040
-
Perm, Russian Federation, 614097
-
Ryazan, Russian Federation, 390026
-
Saratov, Russian Federation, 410030
-
St. Petersburg, Russian Federation, 194354
-
St. Petersburg, Russian Federation, 194044
-
St. Petersburg, Russian Federation, 193312
-
St. Petersburg, Russian Federation, 194223
-
St. Petersburg, Russian Federation, 195067
-
St. Petersburg, Russian Federation, 195112
-
St. Petersburg, Russian Federation, 195257
-
St. Petersburg, Russian Federation, 197762
-
St. Petersburg, Russian Federation, 199226
-
Stavropol, Russian Federation, 355030
-
Syktyvkar, Russian Federation, 167981
-
Voronezh, Russian Federation, 394018
-
Voronezh, Russian Federation, 394077
-
Yaroslavl, Russian Federation, 150062
-
Yaroslavl, Russian Federation, 150003
-
Yekaterinburg, Russian Federation, 620102
-
-
-
-
-
Singapore, Singapore, 169608
-
Singapore, Singapore, 119074
-
Singapore, Singapore, 529889
-
Singapore, Singapore, 169609
-
Singapore, Singapore, 768828
-
-
-
-
-
Bardejov, Slovakia, 085 01
-
Nitra, Slovakia, 949 11
-
Rimavska Sobota, Slovakia, 979 01
-
Roznava, Slovakia, 048 01
-
Zilina, Slovakia, 01001
-
-
-
-
-
Pretoria, South Africa, 0002
-
-
Eastern Cape
-
Port Elizabeth, Eastern Cape, South Africa, 6045
-
-
Gauteng
-
Benoni, Gauteng, South Africa, 1501
-
Johannesburg, Gauteng, South Africa, 2198
-
Lenasia South, Gauteng, South Africa, 1835
-
Newtown, Gauteng, South Africa, 2113
-
Petoria, Gauteng, South Africa
-
Pretoria, Gauteng, South Africa, 0181
-
Pretoria, Gauteng, South Africa, 0002
-
Soweto, Gauteng, South Africa, 1818
-
-
Kwazulu-Natal
-
Durban, Kwazulu-Natal, South Africa, 4030
-
Isipingo Rail, Kwazulu-Natal, South Africa, 4110
-
Tongaat, Kwazulu-Natal, South Africa, 4400
-
-
Mpumalanga
-
Middelburg, Mpumalanga, South Africa, 1055
-
Witbank, Mpumalanga, South Africa, 1035
-
-
Western Cape
-
Cape Town, Western Cape, South Africa, 7570
-
Cape Town, Western Cape, South Africa, 7925
-
Somerset West, Western Cape, South Africa, 7130
-
Worcester, Western Cape, South Africa, 6850
-
-
-
-
-
A Coruña, Spain, 15006
-
Barcelona, Spain, 08003
-
Barcelona, Spain, 08907
-
Barcelona, Spain, 08025
-
Barcelona, Spain, 08023
-
Barcelona, Spain, 8036
-
Córdoba, Spain, 14004
-
Granada, Spain, 18012
-
Jaén, Spain, 23007
-
Madrid, Spain, 28041
-
Madrid, Spain, 28007
-
Málaga, Spain, 29010
-
Valencia, Spain, 46017
-
Valencia, Spain, 46014
-
Valencia, Spain, 46026
-
Valencia, Spain, 46010
-
-
A Coruña
-
Ferrol, A Coruña, Spain, 15405
-
-
Barcelona
-
Badalona, Barcelona, Spain, 08916
-
Manresa, Barcelona, Spain, 08243
-
Sant Joan Despi, Barcelona, Spain, 08970
-
-
Cádiz
-
Jerez de la Frontera, Cádiz, Spain, 11407
-
-
Lugo
-
Burela, Lugo, Spain, 27880
-
-
Madrid
-
Alcalá de Henares, Madrid, Spain, 28805
-
Boadilla del Monte, Madrid, Spain, 28660
-
Getafe, Madrid, Spain, 28905
-
-
Valencia
-
Sagunto, Valencia, Spain, 46520
-
-
-
-
-
Göteborg, Sweden, 413 45
-
Göteborg, Sweden, 413 46
-
Lund, Sweden, 221 85
-
Lund, Sweden, 222 21
-
Rättvik, Sweden, 795 30
-
Skövde, Sweden, 541 50
-
Stockholm, Sweden, 141 86
-
Stockholm, Sweden, 113 24
-
Stockholm, Sweden, 114 46
-
Stockholm, Sweden, 182 88
-
Uppsala, Sweden, 751 85
-
Uppsala, Sweden, 752 37
-
Örebro, Sweden, 701 85
-
Örebro, Sweden, 703 62
-
-
-
-
-
Bern, Switzerland, 3010
-
-
Basel-Landschaft
-
Liestal, Basel-Landschaft, Switzerland, 4410
-
-
Genève
-
Geneva, Genève, Switzerland, 1205
-
-
Sankt Gallen
-
St. Gallen, Sankt Gallen, Switzerland, 9016
-
St. Gallen, Sankt Gallen, Switzerland, 1009
-
-
Solothurn
-
Olten, Solothurn, Switzerland, 4600
-
-
Thurgau
-
Frauenfeld, Thurgau, Switzerland, 8501
-
-
Vaud
-
Lausanne, Vaud, Switzerland, 1011
-
-
-
-
-
Changhua, Taiwan, 50006
-
Kaohsiung, Taiwan, 833
-
New Taipei City, Taiwan, 220
-
Taichung, Taiwan, 40447
-
Taichung, Taiwan, 40705
-
Taipei, Taiwan, 100
-
Taipei, Taiwan, 11217
-
Taipei, Taiwan, 110
-
Taoyuan, Taiwan, 33305
-
-
-
-
-
Bangkok, Thailand
-
Bangkok, Thailand, 10400
-
Chiangmai, Thailand, 50200
-
Khon Kaen, Thailand, 40002
-
-
-
-
-
Ankara, Turkey
-
Antalya, Turkey, 07058
-
Edirne, Turkey, 22030
-
Izmir, Turkey, 35540
-
Kayseri, Turkey, 38039
-
Kocaeli, Turkey, 41380
-
Malatya, Turkey, 44280
-
Samsun, Turkey, 55139
-
Sivas, Turkey, 58140
-
-
-
-
-
Cherkasy, Ukraine, 18009
-
Chernivtsi, Ukraine, 58002
-
Dnipro, Ukraine, 49023
-
Dnipro, Ukraine, 49000
-
Ivano-Frankivsk, Ukraine, 76008
-
Kharkiv, Ukraine, 61039
-
Kharkiv, Ukraine, 61037
-
Kharkiv, Ukraine, 61058
-
Kharkiv, Ukraine, 61070
-
Kiev, Ukraine, 03049
-
Kiev, Ukraine, 01021
-
Kiev, Ukraine, 04050
-
Kiev, Ukraine, 04114
-
Kiev, Ukraine, 1601
-
Kyiv, Ukraine, 03037
-
Lviv, Ukraine, 79010
-
Mykolayiv, Ukraine, 54003
-
Ternopil, Ukraine, 46002
-
Uzhgorod, Ukraine, 88018
-
Vinnytsia, Ukraine, 21001
-
Zaporizhzhya, Ukraine, 69001
-
Zaporizhzhya, Ukraine, 69600
-
-
-
-
-
Bristol, United Kingdom, BS10 5NB
-
London, United Kingdom, SE5 9RS
-
London, United Kingdom, NW3 2QG
-
London, United Kingdom, E1 1BB
-
Manchester, United Kingdom, M8 5RB
-
Middlesborough, United Kingdom, TS4 3BW
-
Portsmouth, United Kingdom, PO6 3LY
-
-
Carmarthenshire
-
Llanelli, Carmarthenshire, United Kingdom, SA14 8QF
-
-
Leicestershire
-
Leicester, Leicestershire, United Kingdom, LE5 4PW
-
-
Manchester
-
Salford, Manchester, United Kingdom, M6 8HD
-
-
Merseyside
-
Liverpool, Merseyside, United Kingdom, L7 8XP
-
-
Northamptonshire
-
Northampton, Northamptonshire, United Kingdom, NN1 5BD
-
-
Surrey
-
Carshalton, Surrey, United Kingdom, SM5 1AA
-
-
Vale Of Glamorgan, The
-
Newcastle Upon Tyne, Vale Of Glamorgan, The, United Kingdom, NE1 4LP
-
-
West Sussex
-
Chichester, West Sussex, United Kingdom, PO19 6SE
-
-
-
-
Alabama
-
Birmingham, Alabama, United States, 35294
-
Fort Payne, Alabama, United States, 35967
-
Huntsville, Alabama, United States, 35801-4317
-
-
Arizona
-
Mesa, Arizona, United States, 85210
-
Phoenix, Arizona, United States, 85032
-
Phoenix, Arizona, United States, 85016
-
Prescott, Arizona, United States, 86301
-
Tucson, Arizona, United States, 85724
-
Tucson, Arizona, United States, 85723
-
-
California
-
Arvin, California, United States, 93203
-
Chula Vista, California, United States, 91910
-
Dublin, California, United States, 94568
-
El Centro, California, United States, 92243
-
Fresno, California, United States, 93720
-
Fresno, California, United States, 93721
-
La Mesa, California, United States, 91942
-
Loma Linda, California, United States, 92357
-
Los Angeles, California, United States, 90025
-
Los Angeles, California, United States, 90073
-
Los Angeles, California, United States, 90017
-
Los Angeles, California, United States, 90022
-
Northridge, California, United States, 91325
-
Port Hueneme, California, United States, 93041
-
Poway, California, United States, 92064
-
Rancho Cucamonga, California, United States, 91730
-
Rialto, California, United States, 92377
-
Roseville, California, United States, 95661
-
San Diego, California, United States, 92117
-
San Francisco, California, United States, 94110
-
Torrance, California, United States, 90502
-
-
Connecticut
-
New Haven, Connecticut, United States, 06520
-
Waterbury, Connecticut, United States, 06708
-
-
Florida
-
Fleming Island, Florida, United States, 32003
-
Fort Lauderdale, Florida, United States, 33316-1958
-
Gainesville, Florida, United States, 32610-0224
-
Hialeah, Florida, United States, 33016
-
Hialeah, Florida, United States, 33012
-
Hollywood, Florida, United States, 33024
-
Jacksonville, Florida, United States, 32204
-
Miami, Florida, United States, 33186
-
Miami, Florida, United States, 33173
-
Miami, Florida, United States, 33126
-
Miami, Florida, United States, 33144
-
Miami, Florida, United States, 33165
-
Miami, Florida, United States, 33155
-
Miami, Florida, United States, 33175
-
Miami, Florida, United States, 33145
-
Miami, Florida, United States, 33180
-
Miami, Florida, United States, 33032
-
Miami, Florida, United States, 33130
-
Miami, Florida, United States, 33156
-
Miami Beach, Florida, United States, 33140
-
Miami Gardens, Florida, United States, 33169
-
Miami Lakes, Florida, United States, 33016
-
Miami Lakes, Florida, United States, 33014
-
New Port Richey, Florida, United States, 34652
-
Ocala, Florida, United States, 34471
-
Orlando, Florida, United States, 32825
-
Palm Harbor, Florida, United States, 34684
-
Sarasota, Florida, United States, 34239
-
Tampa, Florida, United States, 33619
-
Tampa, Florida, United States, 33614
-
Winter Haven, Florida, United States, 33880
-
-
Georgia
-
Atlanta, Georgia, United States, 30303
-
Atlanta, Georgia, United States, 30342
-
Atlanta, Georgia, United States, 30318
-
Augusta, Georgia, United States, 30904
-
Duluth, Georgia, United States, 30096
-
Lilburn, Georgia, United States, 30047
-
Macon, Georgia, United States, 31210
-
-
Hawaii
-
Honolulu, Hawaii, United States, 96814
-
-
Illinois
-
Chicago, Illinois, United States, 60611
-
Chicago, Illinois, United States, 60612
-
Elgin, Illinois, United States, 60123
-
-
Indiana
-
Indianapolis, Indiana, United States, 46202
-
-
Iowa
-
Iowa City, Iowa, United States, 52242
-
-
Kansas
-
Hutchinson, Kansas, United States, 67502-1131
-
Topeka, Kansas, United States, 66606
-
Wichita, Kansas, United States, 67214
-
-
Louisiana
-
Metairie, Louisiana, United States, 70006
-
Monroe, Louisiana, United States, 71201
-
New Orleans, Louisiana, United States, 70112
-
Shreveport, Louisiana, United States, 71101
-
-
Maryland
-
Takoma Park, Maryland, United States, 20912
-
-
Massachusetts
-
Boston, Massachusetts, United States, 02215
-
-
Michigan
-
Ann Arbor, Michigan, United States, 48109
-
Flint, Michigan, United States, 48504
-
Flint, Michigan, United States, 48532
-
-
Minnesota
-
Minneapolis, Minnesota, United States, 55455
-
-
Missouri
-
Columbia, Missouri, United States, 65212
-
Columbia, Missouri, United States, 65201
-
Jefferson City, Missouri, United States, 65109
-
Kansas City, Missouri, United States, 64111
-
Kansas City, Missouri, United States, 64128
-
Saint Louis, Missouri, United States, 63106
-
Saint Louis, Missouri, United States, 63136
-
-
Nebraska
-
Lincoln, Nebraska, United States, 68510
-
Omaha, Nebraska, United States, 68131
-
Omaha, Nebraska, United States, 68124
-
-
Nevada
-
Las Vegas, Nevada, United States, 89128
-
Las Vegas, Nevada, United States, 89119
-
Las Vegas, Nevada, United States, 89102
-
Las Vegas, Nevada, United States, 89086
-
Las Vegas, Nevada, United States, 89113-2215
-
Reno, Nevada, United States, 89511
-
-
New Jersey
-
Newark, New Jersey, United States, 07103
-
-
New Mexico
-
Albuquerque, New Mexico, United States, 87106
-
-
New York
-
Albany, New York, United States, 12206
-
Brooklyn, New York, United States, 11203
-
Flushing, New York, United States, 11355
-
Mineola, New York, United States, 11501
-
New York, New York, United States, 10032
-
New York, New York, United States, 10021
-
New York, New York, United States, 10029
-
Rosedale, New York, United States, 11422
-
Smithtown, New York, United States, 11787
-
Staten Island, New York, United States, 10301
-
-
North Carolina
-
Asheboro, North Carolina, United States, 27203
-
Chapel Hill, North Carolina, United States, 27312
-
Charlotte, North Carolina, United States, 28207
-
Greenville, North Carolina, United States, 27834
-
New Bern, North Carolina, United States, 28562
-
Winston-Salem, North Carolina, United States, 27103
-
Winston-Salem, North Carolina, United States, 27157
-
-
Ohio
-
Canton, Ohio, United States, 44718
-
Cleveland, Ohio, United States, 44106
-
Columbus, Ohio, United States, 43210
-
-
Pennsylvania
-
Beaver, Pennsylvania, United States, 15009
-
Bethlehem, Pennsylvania, United States, 18017
-
Hershey, Pennsylvania, United States, 17033
-
Lansdale, Pennsylvania, United States, 19446-2321
-
-
South Carolina
-
Anderson, South Carolina, United States, 29625
-
Charleston, South Carolina, United States, 29425
-
Greenville, South Carolina, United States, 29605
-
Greer, South Carolina, United States, 29651
-
Murrells Inlet, South Carolina, United States, 29576
-
Orangeburg, South Carolina, United States, 29118
-
-
Tennessee
-
Chattanooga, Tennessee, United States, 37404
-
Memphis, Tennessee, United States, 38120
-
Memphis, Tennessee, United States, 38163
-
Nashville, Tennessee, United States, 37205
-
Nashville, Tennessee, United States, 37208
-
Nashville, Tennessee, United States, 37232-1371
-
-
Texas
-
Arlington, Texas, United States, 76014
-
Corpus Christi, Texas, United States, 78414-4173
-
Dallas, Texas, United States, 75216
-
Dallas, Texas, United States, 75246
-
Dallas, Texas, United States, 75251
-
El Paso, Texas, United States, 79935
-
Houston, Texas, United States, 77024
-
Houston, Texas, United States, 77008
-
Houston, Texas, United States, 77040
-
Houston, Texas, United States, 77061
-
Houston, Texas, United States, 77079
-
Houston, Texas, United States, 77095
-
Kingwood, Texas, United States, 77339
-
McAllen, Texas, United States, 78503
-
McKinney, Texas, United States, 75069-1780
-
Pearland, Texas, United States, 77584
-
Pflugerville, Texas, United States, 78660
-
San Antonio, Texas, United States, 78215
-
San Antonio, Texas, United States, 78212
-
San Antonio, Texas, United States, 78229-3900
-
Sugar Land, Texas, United States, 77479
-
Sugar Land, Texas, United States, 77478
-
Waco, Texas, United States, 76710
-
-
Utah
-
Saint George, Utah, United States, 84790
-
Salt Lake City, Utah, United States, 84108
-
-
Vermont
-
Burlington, Vermont, United States, 05401
-
-
Virginia
-
Alexandria, Virginia, United States, 22304
-
Manassas, Virginia, United States, 20110
-
Salem, Virginia, United States, 24153
-
Virginia Beach, Virginia, United States, 23462
-
-
Washington
-
Spokane Valley, Washington, United States, 99216-3522
-
Tacoma, Washington, United States, 98405
-
-
Wisconsin
-
Milwaukee, Wisconsin, United States, 53295
-
-
-
-
-
Ha Noi, Vietnam
-
Ha Noi, Vietnam, 10000
-
Ho Chi Minh City, Vietnam, 70000
-
Ho Chi Minh City, Vietnam, 84
-
Ho Chi Minh City, Vietnam
-
-
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 and older (Adult, Older Adult)
Accepts Healthy Volunteers
No
Description
Inclusion Criteria:
- Men or women ≥18 years of age
- Type 2 diabetes mellitus (T2D) as defined by the American Diabetes Association
Diagnosis of chronic kidney disease (CKD) with at least one of the following criteria at run-in and screening visits:
- persistent high albuminuria (UACR ≥30 to <300 mg/g in 2 out of 3 first morning void samples) and estimated glomerular filtration rate (eGFR) ≥25 but <60 mL/min/1.73 m² (CKD EPI) and presence of diabetic retinopathy or
- persistent very high albuminuria (UACR ≥300 mg/g in 2 out of 3 first morning void samples) and eGFR ≥25 to <75 mL/min/1.73 m² (CKD-EPI)
Prior treatment with angiotensin-converting enzyme inhibitors (ACEIs) and angiotensin receptor blockers (ARBs) as follows:
- For at least 4 weeks prior to the run-in visit, subjects should be treated with either an ACEI or ARB, or both
- Starting with the run-in visit, subjects should be treated with only an ACEI or ARB
- For at least 4 weeks prior to the screening visit, subjects should be treated with the maximum tolerated labeled dose (but not below the minimal labeled dose) of only an ACEI or an ARB (not both) preferably without any adjustments to dose or choice of agent or to any other antihypertensive or antiglycemic treatment
- Serum potassium ≤4.8 mmol/L at both the run-in and the screening visit
Exclusion Criteria:
- Known significant non-diabetic renal disease, including clinically relevant renal artery stenosis
- Uncontrolled arterial hypertension (ie, mean sitting systolic blood pressure (SBP) ≥170 mmHg, sitting diastolic blood pressure (DBP) ≥110 mmHg at run-in visit, or mean sitting SBP ≥160 mmHg, sitting DBP ≥100 mmHg at screening)
- Glycated hemoglobin (HbA1c) >12%
- Mean SBP < 90 mmHg at the run-in visit or at the screening visit
- Clinical diagnosis of chronic heart failure with reduced ejection fraction (HFrEF) and persistent symptoms (New York Heart Association [NYHA] class II - IV) at run-in visit (class 1A recommendation for mineralcorticoid receptor antagonists [MRAs])
- Stroke, transient ischemic cerebral attack, acute coronary syndrome, or hospitalization for worsening heart failure, in the last 30 days prior to the screening visit
- Dialysis for acute renal failure within 12 weeks of run-in visit
- Renal allograft in place or scheduled within next 12 months from the run-in visit
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: Finerenone (BAY94-8862)
Participants received finerenone 10 mg or 20 mg once daily in addition to standard of care therapy
|
Oral tablet; starting dose at 10 mg for subjects with an eGFR between 25 to < 60 mL/min/1.73m²
at the Screening Visit; starting dose at 20 mg for subjects with an eGFR ≥ 60 mL/min/1.73m²
at the Screening Visit; dose could be up-titrated from Month 1 onwards or down-titrated at any time during the study; once daily in the morning, until the trial was completed provided there were no safety grounds for discontinuing treatment
|
|
Placebo Comparator: Placebo
Participants received matching placebo once daily in addition to standard of care therapy
|
Matching placebo, oral tablet, once daily in the morning, until the trial was completed provided there were no safety grounds for discontinuing treatment
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
The First Occurrence of the Composite Endpoint of Onset of Kidney Failure, a Sustained Decrease of eGFR ≥40% From Baseline Over at Least 4 Weeks, or Renal Death
Time Frame: From randomization up until the first occurrence of the primary renal composite endpoint, or censoring at the end of the study, with an average follow-up time of 32 months
|
Count of participants and time from randomization to the first occurrence of the primary renal composite outcome, onset of kidney failure, a sustained decrease of eGFR ≥40% from baseline over at least 4 weeks, or renal death were evaluated.
Number of participants with the outcome event is reported as descriptive result and hazard ratio is reported as statistical analysis.
|
From randomization up until the first occurrence of the primary renal composite endpoint, or censoring at the end of the study, with an average follow-up time of 32 months
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
The First Occurrence of the Composite Endpoint of Cardiovascular Death, Non-fatal Myocardial Infarction, Non-fatal Stroke, or Hospitalization for Heart Failure
Time Frame: From randomization up until the first occurrence of the key secondary CV composite endpoint, or censoring at the end of the study, with an average of 32 months
|
Count of participants and time from randomization to the first occurrence of the key secondary cardiovascular (CV) composite outcome, CV death, non-fatal myocardial infarction (MI), non-fatal stroke, or hospitalization for heart failure were evaluated.
Number of participants with the outcome event is reported as descriptive result and hazard ratio is reported as statistical analysis.
|
From randomization up until the first occurrence of the key secondary CV composite endpoint, or censoring at the end of the study, with an average of 32 months
|
|
All-cause Mortality
Time Frame: From randomization up until death due to any cause, or censoring at the end of the study visit, with an average of 32 months
|
Count of participants and time from randomization until death due to any cause were evaluated.
Number of participants with outcome death is reported as descriptive result and hazard ratio is reported as statistical analysis.
Number of participants with outcome death reported here includes deaths occurred after randomization until the end of the study visit.
Deaths after end of study visit are not included in this table.
|
From randomization up until death due to any cause, or censoring at the end of the study visit, with an average of 32 months
|
|
All-cause Hospitalization
Time Frame: From randomization up until the first occurrence of the hospitalization due to any cause, or censoring at the end of study, with an average of 32 months
|
Count of participants and time from randomization to the first occurrence of a hospitalization event were evaluated.
Number of participants with the event is reported as descriptive result and hazard ratio is reported as statistical analysis.
|
From randomization up until the first occurrence of the hospitalization due to any cause, or censoring at the end of study, with an average of 32 months
|
|
Change in Urinary Albumin-to-creatinine Ratio (UACR) From Baseline to Month 4
Time Frame: From baseline up until Month 4
|
First morning void urine samples were collected to evaluate the urinary albumin-to-creatinine ratio (UACR).
Month 4 was the visit closest to day 120 within a time window of 120 ± 30 days after randomization.
If no measurements were available in this time window, the participant was excluded from this analysis.
Ratio of UACR at Month 4 to UACR at baseline is reported as the change.
|
From baseline up until Month 4
|
|
The First Occurrence of the Composite Endpoint of Onset of Kidney Failure, a Sustained Decrease in eGFR of ≥57% From Baseline Over at Least 4 Weeks, or Renal Death
Time Frame: From randomization up until the first occurrence of the composite primary endpoint, or censoring at the end of the study, with an average of 32 months
|
Count of participants and time from randomization to the first occurrence of the secondary renal composite outcome, onset of kidney failure, a sustained decrease in eGFR of ≥57% from baseline over at least 4 weeks, or renal death were evaluated.
Number of participants with the outcome event is reported as descriptive result and hazard ratio is reported as statistical analysis.
|
From randomization up until the first occurrence of the composite primary endpoint, or censoring at the end of the study, with an average of 32 months
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Investigators
- Study Director: Bayer Study Director, Bayer
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
- Pitt B, Agarwal R, Anker SD, Ruilope LM, Rossing P, Ahlers C, Brinker M, Joseph A, Lambelet M, Lawatscheck R, Filippatos GS; FIDELIO-DKD and FIGARO-DKD Investigators. Association of Finerenone Use With Reduction in Treatment-Emergent Pneumonia and COVID-19 Adverse Events Among Patients With Type 2 Diabetes and Chronic Kidney Disease: A FIDELITY Pooled Secondary Analysis. JAMA Netw Open. 2022 Oct 3;5(10):e2236123. doi: 10.1001/jamanetworkopen.2022.36123.
- Agarwal R, Anker SD, Bakris G, Filippatos G, Pitt B, Rossing P, Ruilope L, Gebel M, Kolkhof P, Nowack C, Joseph A; FIDELIO-DKD and FIGARO-DKD Investigators. Investigating new treatment opportunities for patients with chronic kidney disease in type 2 diabetes: the role of finerenone. Nephrol Dial Transplant. 2022 May 25;37(6):1014-1023. doi: 10.1093/ndt/gfaa294.
- Bakris GL, Agarwal R, Anker SD, Pitt B, Ruilope LM, Nowack C, Kolkhof P, Ferreira AC, Schloemer P, Filippatos G; on behalf of the FIDELIO-DKD study investigators; FIDELIO-DKD study investigators. Design and Baseline Characteristics of the Finerenone in Reducing Kidney Failure and Disease Progression in Diabetic Kidney Disease Trial. Am J Nephrol. 2019;50(5):333-344. doi: 10.1159/000503713. Epub 2019 Oct 25.
- Bakris GL, Agarwal R, Anker SD, Pitt B, Ruilope LM, Rossing P, Kolkhof P, Nowack C, Schloemer P, Joseph A, Filippatos G; FIDELIO-DKD Investigators. Effect of Finerenone on Chronic Kidney Disease Outcomes in Type 2 Diabetes. N Engl J Med. 2020 Dec 3;383(23):2219-2229. doi: 10.1056/NEJMoa2025845. Epub 2020 Oct 23.
- Filippatos G, Anker SD, Agarwal R, Pitt B, Ruilope LM, Rossing P, Kolkhof P, Schloemer P, Tornus I, Joseph A, Bakris GL; FIDELIO-DKD Investigators. Finerenone and Cardiovascular Outcomes in Patients With Chronic Kidney Disease and Type 2 Diabetes. Circulation. 2021 Feb 9;143(6):540-552. doi: 10.1161/CIRCULATIONAHA.120.051898. Epub 2020 Nov 16.
- Ruilope LM, Agarwal R, Anker SD, Filippatos G, Pitt B, Rossing P, Sarafidis P, Schmieder RE, Joseph A, Rethemeier N, Nowack C, Bakris GL; FIDELIO-DKD Investigators. Blood Pressure and Cardiorenal Outcomes With Finerenone in Chronic Kidney Disease in Type 2 Diabetes. Hypertension. 2022 Dec;79(12):2685-2695. doi: 10.1161/HYPERTENSIONAHA.122.19744. Epub 2022 Oct 12.
- Rossing P, Filippatos G, Agarwal R, Anker SD, Pitt B, Ruilope LM, Chan JCN, Kooy A, McCafferty K, Schernthaner G, Wanner C, Joseph A, Scheerer MF, Scott C, Bakris GL; FIDELIO-DKD Investigators. Finerenone in Predominantly Advanced CKD and Type 2 Diabetes With or Without Sodium-Glucose Cotransporter-2 Inhibitor Therapy. Kidney Int Rep. 2021 Oct 14;7(1):36-45. doi: 10.1016/j.ekir.2021.10.008. eCollection 2022 Jan.
- Agarwal R, Anker SD, Filippatos G, Pitt B, Rossing P, Ruilope LM, Boletis J, Toto R, Umpierrez GE, Wanner C, Wada T, Scott C, Joseph A, Ogbaa I, Roberts L, Scheerer MF, Bakris GL. Effects of canagliflozin versus finerenone on cardiorenal outcomes: exploratory post hoc analyses from FIDELIO-DKD compared to reported CREDENCE results. Nephrol Dial Transplant. 2022 Jun 23;37(7):1261-1269. doi: 10.1093/ndt/gfab336.
- Filippatos G, Bakris GL, Pitt B, Agarwal R, Rossing P, Ruilope LM, Butler J, Lam CSP, Kolkhof P, Roberts L, Tasto C, Joseph A, Anker SD; FIDELIO-DKD Investigators. Finerenone Reduces New-Onset Atrial Fibrillation in Patients With Chronic Kidney Disease and Type 2 Diabetes. J Am Coll Cardiol. 2021 Jul 13;78(2):142-152. doi: 10.1016/j.jacc.2021.04.079. Epub 2021 May 17.
- Chung EY, Ruospo M, Natale P, Bolignano D, Navaneethan SD, Palmer SC, Strippoli GF. Aldosterone antagonists in addition to renin angiotensin system antagonists for preventing the progression of chronic kidney disease. Cochrane Database Syst Rev. 2020 Oct 27;10(10):CD007004. doi: 10.1002/14651858.CD007004.pub4.
- Rossing P, Burgess E, Agarwal R, Anker SD, Filippatos G, Pitt B, Ruilope LM, Gillard P, MacIsaac RJ, Wainstein J, Joseph A, Brinker M, Roessig L, Scott C, Bakris GL; FIDELIO-DKD Investigators. Finerenone in Patients With Chronic Kidney Disease and Type 2 Diabetes According to Baseline HbA1c and Insulin Use: An Analysis From the FIDELIO-DKD Study. Diabetes Care. 2022 Apr 1;45(4):888-897. doi: 10.2337/dc21-1944. Erratum In: Diabetes Care. 2023 Jun 13;:
- Erraez S, Lopez-Mesa M, Gomez-Fernandez P. Mineralcorticoid receptor blockers in chronic kidney disease. Nefrologia (Engl Ed). 2021 May-Jun;41(3):258-275. doi: 10.1016/j.nefro.2020.10.001. Epub 2020 Dec 24. English, Spanish.
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 17, 2015
Primary Completion (Actual)
April 14, 2020
Study Completion (Actual)
April 14, 2020
Study Registration Dates
First Submitted
September 2, 2015
First Submitted That Met QC Criteria
September 2, 2015
First Posted (Estimated)
September 4, 2015
Study Record Updates
Last Update Posted (Estimated)
July 24, 2023
Last Update Submitted That Met QC Criteria
July 20, 2023
Last Verified
July 1, 2023
More Information
Terms related to this study
Additional Relevant MeSH Terms
- Pathologic Processes
- Glucose Metabolism Disorders
- Metabolic Diseases
- Urologic Diseases
- Endocrine System Diseases
- Disease Attributes
- Diabetes Complications
- Renal Insufficiency
- Chronic Disease
- Female Urogenital Diseases
- Female Urogenital Diseases and Pregnancy Complications
- Urogenital Diseases
- Male Urogenital Diseases
- Diabetes Mellitus
- Diabetes Mellitus, Type 2
- Kidney Diseases
- Renal Insufficiency, Chronic
- Diabetic Nephropathies
Other Study ID Numbers
- 16244
- 2015-000990-11 (EudraCT Number)
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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