Effect of Dapagliflozin on Atrial Fibrillation in Patients With Type 2 Diabetes Mellitus: Insights From the DECLARE-TIMI 58 Trial
Abstract
Background: Atrial fibrillation (AF) and atrial flutter (AFL) are associated with both diabetes mellitus and its related comorbidities, including hypertension, obesity, and heart failure (HF). SGLT2 (sodium-glucose cotransporter 2) inhibitors have been shown to lower blood pressure, reduce weight, have salutary effects on left ventricular remodeling, and reduce hospitalization for HF and cardiovascular death in patients with type 2 diabetes mellitus. We therefore investigated whether SGLT2 inhibitors could also reduce the risk of AF/AFL. Methods: DECLARE-TIMI 58 (Dapagliflozin Effect on Cardiovascular Events–Thrombolysis in Myocardial Infarction 58) studied the efficacy and safety of the SGLT2 inhibitor dapagliflozin versus placebo in 17 160 patients with type 2 diabetes mellitus and either multiple risk factors for atherosclerotic cardiovascular disease (n=10 186) or known atherosclerotic cardiovascular disease (n=6974). We explored the effect of dapagliflozin on the first and total number of AF/AFL events in patients with (n=1116) and without prevalent AF/AFL using Cox and negative binomial models, respectively. AF/AFL events were identified by search of the safety database using MedDRA preferred terms (“atrial fibrillation,” “atrial flutter”). Results: Dapagliflozin reduced the risk of AF/AFL events by 19% (264 versus 325 events; 7.8 versus 9.6 events per 1000 patient-years; hazard ratio [HR], 0.81 [95% CI, 0.68–0.95]; P =0.009). The reduction in AF/AFL events was consistent regardless of presence or absence of a history of AF/AFL at baseline (previous AF/AFL: HR, 0.79 [95% CI, 0.58–1.09]; no AF/AFL: HR, 0.81 [95% CI, 0.67–0.98]; P for interaction 0.89). Similarly, presence of atherosclerotic cardiovascular disease (HR, 0.83 [95% CI, 0.66–1.04]) versus multiple risk factors (HR, 0.78 [95% CI, 0.62–0.99]; P for interaction 0.72) or a history of HF (HF: HR, 0.78 [95% CI, 0.55–1.11]; No HF: HR, 0.81 [95% CI, 0.68–0.97]; P for interaction 0.88) did not modify the reduction in AF/AFL events observed with dapagliflozin. Moreover, there was no effect modification by sex, history of ischemic stroke, glycated hemoglobin A 1c , body mass index, blood pressure, or estimated glomerular filtration rate (all P for interaction >0.20). Dapagliflozin also reduced the total number (first and recurrent) of AF/AFL events (337 versus 432; incidence rate ratio, 0.77 [95% CI, 0.64–0.92]; P =0.005). Conclusions: Dapagliflozin decreased the incidence of reported episodes of AF/AFL adverse events in high-risk patients with type 2 diabetes mellitus. This effect was consistent regardless of the patient’s previous history of AF, atherosclerotic cardiovascular disease, or HF. Registration: URL: https://www.clinicaltrials.gov ; Unique identifier: NCT01730534.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Finerenone may reduce new-onset atrial fibrillation in patients with type 2 diabetes and chronic kidney disease.
“It has recently been reported that finerenone may reduce new-onset AF in patients with T2DM and CKD.605”
From 2023 ESC guidelines for the management of cardiovascular disease in patients with diabetes. (2023) · cites this paper as [605]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Dapagliflozin in Patients with Heart Failure and Reduced Ejection Fraction
McMurray, J. J. V., Solomon, S. D., Inzucchi, S. E., Køber, L., Kosiborod, M. N., Martinez, F. A., Ponikowski, P., Sabatine, M. S., Anand, I. S., Bělohlávek, J., et al. (2019) · New England Journal of Medicine · doi:10.1056/nejmoa1911303 · Cited by 7,140 · see citing works
Self-citationDapagliflozin and Cardiovascular Outcomes in Type 2 Diabetes
Wiviott, S. D., Raz, I., Bonaca, M. P., Mosenzon, O., Kato, E. T., Cahn, A., Silverman, M. G., Zelniker, T. A., Kuder, J. F., Murphy, S. A., et al. (2019) · New England Journal of Medicine · doi:10.1056/nejmoa1812389 · Cited by 6,382 · see citing works
Self-citationCanagliflozin and Renal Outcomes in Type 2 Diabetes and Nephropathy
Perkovic, V., Jardine, M. J., Neal, B., Bompoint, S., Heerspink, H. J. L., Charytan, D. M., Edwards, R., Agarwal, R., Bakris, G., Bull, S., et al. (2019) · New England Journal of Medicine · doi:10.1056/nejmoa1811744 · Cited by 6,189 · see citing works
The Emerging Risk Factors Collaboration (2010) · The Lancet · doi:10.1016/s0140-6736(10)60484-9 · Cited by 5,125 · see citing works
Dormandy, J. A., Charbonnel, B., Eckland, D. J., Erdmann, E., Massi-Benedetti, M., Moules, I. K., Skene, A. M., Tan, M. H., Lefèbvre, P. J., Murray, G. D., et al. (2005) · The Lancet · doi:10.1016/s0140-6736(05)67528-9 · Cited by 4,129 · see citing works
Partial residuals for the proportional hazards regression model
SCHOENFELD, D. (1982) · Biometrika · doi:10.1093/biomet/69.1.239 · Cited by 3,111 · see citing works
Zelniker, T. A., Wiviott, S. D., Raz, I., Im, K., Goodrich, E. L., Bonaca, M. P., Mosenzon, O., Kato, E. T., Cahn, A., Furtado, R. H. M., et al. (2019) · The Lancet · doi:10.1016/s0140-6736(18)32590-x · Cited by 2,845 · see citing works
Self-citationJanuary, C. T., Wann, L. S., Calkins, H., Chen, L. Y., Cigarroa, J. E., Cleveland, J. C., Ellinor, P. T., Ezekowitz, M. D., Field, M. E., Furie, K. L., et al. (2019) · Circulation · doi:10.1161/cir.0000000000000665 · Cited by 2,744 · see citing works
Epidemiologic Features of Chronic Atrial Fibrillation
Kannel, W. B., Abbott, R. D., Savage, D. D., & McNamara, P. M. (1982) · New England Journal of Medicine · doi:10.1056/nejm198204293061703 · Cited by 2,304 · see citing works
Kristensen, S. L., Rørth, R., Jhund, P. S., Docherty, K. F., Sattar, N., Preiss, D., Køber, L., Petrie, M. C., & McMurray, J. J. V. (2019) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(19)30249-9 · Cited by 1,663 · see citing works
Home, P. D., Pocock, S. J., Beck-Nielsen, H., Curtis, P. S., Gomis, R., Hanefeld, M., Jones, N. P., Komajda, M., & McMurray, J. J. (2009) · The Lancet · doi:10.1016/s0140-6736(09)60953-3 · Cited by 1,393 · see citing works
Verma, S., Mazer, C. D., Yan, A. T.-K., Mason, T., Garg, V., Teoh, H., Zuo, F., Quan, A., Farkouh, M. E., FITCHETT, D. H., et al. (2019) · Circulation · doi:10.1161/circulationaha.119.042375 · Cited by 587 · see citing works
Self-citationHuxley, R., Filion, K. B., Konety, S., & Alonso, Á. (2011) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2011.03.004 · Cited by 566 · see citing works
The effect of dapagliflozin treatment on epicardial adipose tissue volume
Sato, T., Aizawa, Y., Yuasa, S., Kishi, S., Fuse, K., Fujita, S., Ikeda, Y., Kitazawa, H., Takahashi, M., Sato, M., et al. (2018) · Cardiovascular Diabetology · doi:10.1186/s12933-017-0658-8 · Cited by 381 · see citing works
Atrial Fibrillation and Diabetes Mellitus: JACC Review Topic of the Week.
Wang, A., Green, J., Halperin, J., & Piccini, J. (2019) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2019.07.020 · Cited by 348 · see citing works
Kidokoro, K., Cherney, D. Z. I., Bozovic, A., Nagasu, H., Satoh, M., Kanda, E., Sasaki, T., & Kashihara, N. (2019) · Circulation · doi:10.1161/circulationaha.118.037418 · Cited by 283 · see citing works
Sano, M., & Goto, S. (2019) · Circulation · doi:10.1161/circulationaha.118.038881 · Cited by 278 · see citing works
Epicardial adipose tissue and atrial fibrillation
Hatem, S. N., & Sanders, P. (2014) · Cardiovascular Research · doi:10.1093/cvr/cvu045 · Cited by 246 · see citing works
Cardiac and Renal Effects of Sodium-Glucose Co-Transporter 2 Inhibitors in Diabetes
Zelniker, T. A., & Braunwald, E. (2018) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2018.06.040 · Cited by 236 · see citing works
Self-citationUthman, L., Baartscheer, A., Schumacher, C. A., Fiolet, J. W. T., Kuschma, M. C., Hollmann, M. W., Coronel, R., Weber, N. C., & Zuurbier, C. J. (2018) · Frontiers in Physiology · doi:10.3389/fphys.2018.01575 · Cited by 186 · see citing works
Wiviott, S. D., Raz, I., Bonaca, M. P., Mosenzon, O., Kato, E. T., Cahn, A., Silverman, M. G., Bansilal, S., Bhatt, D. L., Leiter, L. A., et al. (2018) · American Heart Journal · doi:10.1016/j.ahj.2018.01.012 · Cited by 180 · see citing works
Self-citationGlucose fluctuations increase the incidence of atrial fibrillation in diabetic rats
Saito, S., Teshima, Y., Fukui, A., Kondo, H., Nishio, S., Nakagawa, M., Saikawa, T., & Takahashi, N. (2014) · Cardiovascular Research · doi:10.1093/cvr/cvu176 · Cited by 142 · see citing works
DECLARE‐TIMI 58: Participants’ baseline characteristics
Raz, I., Mosenzon, O., Bonaca, M. P., Cahn, A., Kato, E. T., Silverman, M. G., Bhatt, D. L., Leiter, L. A., McGuire, D. K., Wilding, J. P. H., et al. (2018) · Diabetes Obesity and Metabolism · doi:10.1111/dom.13217 · Cited by 116 · see citing works
Self-citationAtrial Fibrillation, Type 2 Diabetes, and Non–Vitamin K Antagonist Oral Anticoagulants
Plitt, A., McGuire, D. K., & Giugliano, R. P. (2017) · JAMA Cardiology · doi:10.1001/jamacardio.2016.5224 · Cited by 69 · see citing works
Self-citationMonami, M., Nreu, B., Scatena, A., Giannini, S., Andreozzi, F., Sesti, G., & Mannucci, E. (2017) · Journal of Endocrinological Investigation · doi:10.1007/s40618-017-0698-7 · Cited by 68 · see citing works
Ko, S., Park, Y., Yun, J., Cha, S., Choi, E., Han, K., Han, E., Lee, Y., & Ahn, Y. (2017) · Journal of Diabetes and its Complications · doi:10.1016/j.jdiacomp.2017.09.009 · Cited by 65 · see citing works
Packer, M. (2019) · Circulation · doi:10.1161/circulationaha.119.040909 · Cited by 62 · see citing works
Fangel, M. V., Nielsen, P. B., Kristensen, J. K., Larsen, T. B., Overvad, T. F., Lip, G. Y. H., & Jensen, M. B. (2019) · Circulation: Arrhythmia and Electrophysiology · doi:10.1161/circep.118.007030 · Cited by 49 · see citing works
Liu, C., Liu, R., Fu, H., Li, J., Wang, X., Cheng, L., Korantzopoulos, P. G., Tse, G., Li, G., & Liu, T. (2017) · Cardiovascular Therapeutics · doi:10.1111/1755-5922.12284 · Cited by 43 · see citing works
Yurista, S. R., Silljé, H. H. W., Rienstra, M., de Boer, R. A., & Westenbrink, B. D. (2020) · Cardiovascular Diabetology · doi:10.1186/s12933-019-0984-0 · Cited by 43 · see citing works
Gu, J. F., Liu, X., Wang, Q., et al. (2013) · Journal of Molecular and Cellular Cardiology · doi:10.1016/j.yjmcc.2013.09.016 · Cited by 40 · see citing works
Liu, B., Wang, J., & Wang, G. (2014) · International Heart Journal · doi:10.1536/ihj.14-107 · Cited by 21 · see citing works
Zelniker, T. A., & D, E. B. M. (2019) · Cardiac failure review · doi:10.15420/cfr.2018.44.1 · Cited by 13 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 1
- Fangel MV, Nielsen PB, Kristensen JK, Larsen TB, Overvad TF, Lip GYH, Jensen MB. Glycemic status and thromboembolic risk in patients with atri- al fibrillation and type 2 diabetes mellitus. Circ Arrhythm Electrophysiol. 2019;12:e007030.
Cited by
Sorted by citations
2021 ESC guidelines for the diagnosis and treatment of acute and chronic heart failure
McDonagh, T. A., Metra, M., Adamo, M., Gardner, R. S., Baumbach, A., Böhm, M., Burri, H., Butler, J., Čelutkienė, J., Chioncel, O., et al. (2021) · European Heart Journal · doi:10.1093/eurheartj/ehab368 · Cited by 13,344 · see citing works
2023 ESC guidelines for the management of cardiovascular disease in patients with diabetes.
Marx, N., Federici, M., Schütt, K., Müller-Wieland, D., Ajjan, R. A., Antunes, M. J., Christodorescu, R. M., Crawford, C., Di Angelantonio, E., Eliasson, B., et al. (2023) · European Heart Journal · doi:10.1093/eurheartj/ehad192 · Cited by 1,642 · see citing works
Self-citationSGLT2 inhibitors and GLP-1 receptor agonists: established and emerging indications
Brown, E., Heerspink, H. J. L., Cuthbertson, D. J., & Wilding, J. P. H. (2021) · The Lancet · doi:10.1016/s0140-6736(21)00536-5 · Cited by 581 · see citing works
Self-citationFilippatos, G., Bakris, G. L., Pitt, B., Agarwal, R., Rossing, P., Ruilope, L. M., Butler, J., Lam, C. S. P., Kolkhof, P., Roberts, L., et al. (2021) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2021.04.079 · Cited by 153 · see citing works
Tsai, W.-H., Chuang, S.-M., Liu, S.-C., Lee, C.-C., Chien, M.-N., Leung, C.-H., Liu, S.-J., & Shih, H.-M. (2021) · Scientific Reports · doi:10.1038/s41598-021-94945-4 · Cited by 113 · see citing works
Shi, W., Zhang, W., Zhang, D., Ren, G., Wang, P., Gao, L., Chen, H., & Ding, C. (2021) · Heart Rhythm · doi:10.1016/j.hrthm.2021.03.007 · Cited by 54 · see citing works
Bisson, A., Bodin, A., Fauchier, G., Herbert, J., Angoulvant, D., Ducluzeau, P. H., Lip, G. Y. H., & Fauchier, L. (2021) · Cardiovascular Diabetology · doi:10.1186/s12933-021-01216-7 · Cited by 44 · see citing works
Li, W., Chen, X., Xie, X., Xu, M., Xu, L., Liu, P., & Luo, B. (2022) · Journal of Cardiovascular Pharmacology · doi:10.1097/fjc.0000000000001197 · Cited by 35 · see citing works
Lee, T.-W., Lee, T.-I., Lin, Y.-K., Chen, Y.-C., Kao, Y.-H., & Chen, Y.-J. (2021) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-020-03648-y · Cited by 27 · see citing works
Fauchier, L., Boriani, G., de Groot, J. R., Kreutz, R., Rossing, P., & Camm, A. J. (2021) · EP Europace · doi:10.1093/europace/euab184 · Cited by 22 · see citing works
- Authors
- Zelniker, T. A., Bonaca, M. P., Furtado, R. H. M., Mosenzon, O., Kuder, J. F., Murphy, S. A., Bhatt, D. L., Leiter, L. A., McGuire, D. K., Wilding, J. P. H., Budaj, A., Kiss, R. G., Padilla, F., Gause-Nilsson, I., Langkilde, A. M., Raz, I., Sabatine, M. S., & Wiviott, S. D.
- Affiliations
- Brigham and Women's Hospital (US)
- Hebrew University of Jerusalem (IL)
- St. Michael's Hospital (CA)
- The University of Texas Southwestern Medical Center (US)
- University of Liverpool (GB)
- Grochowski Hospital (PL)
- Department of Cardiology, Military Hospital, Budapest, Hungary (R.G.K.).
- Cardiología Clínica e Intervencionista Tarascos, Guadalajara, Mexico (F.P.).
- AstraZeneca Gothenburg, Mölndal, Sweden (I.G.-N., A.M.L.).
- AstraZeneca (Sweden) (SE)
- ORCID
- Venue
- Circulation
- Published
- 2020-04-14
- Volume
- 141
- Issue
- 15
- Pages
- 1227-1234
- ISSN
- 0009-7322 (ISSN-L)
- 1524-4539
- OpenAlex
- W3004319546
- Cited by
- 459
- References
- 33
- Citations by year
- 2026: 49 · 2025: 79 · 2024: 87 · 2023: 67 · 2022: 72 · 2021: 72 · 2020: 33
- FWCI
- 45.77
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Circulation (publishedVersion)
- PubMed (publishedVersion)
- Funders
- AstraZeneca
- Brigham and Women's Hospital
- Harvard University
- Deutsche Forschungsgemeinschaft
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Atrial Fibrillation Management and Outcomes
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Failure Treatment and Management
- Keywords
- dapagliflozin, atrial fibrillation, atrial flutter, type 2 diabetes, SGLT2 inhibitors, DECLARE-TIMI 58, atherosclerotic cardiovascular disease, cardiovascular risk reduction, heart failure, hypertension, obesity, left ventricular remodeling, anticoagulation, atrial fibrillation risk stratification, atrial fibrillation recurrence
- MeSH terms
- Atrial Fibrillation, Benzhydryl Compounds, Diabetes Mellitus, Type 2, Female, Glucosides, Humans, Male
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review