Accepted for Publication: April 14, 2021.
Published Online: June 28, 2021. doi:10.1001/jamainternmed.2021.2488
Correction: This article was corrected on September 13, 2021, to fix errors in Figure 2 and the Supplement.
Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2021 Xie Y et al. JAMA Internal Medicine.
Corresponding Author: Ziyad Al-Aly, MD, Clinical Epidemiology Center, Research and Development Service, VA St Louis Health Care System, 915 N Grand Blvd, 151-JC, St Louis, MO 63106 (zalaly@gmail.com).
Author Contributions: Dr Al-Aly had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.
Concept and design: Xie, Bowe, Maddukuri, McGill, Al-Aly.
Acquisition, analysis, or interpretation of data: Xie, Bowe, Gibson, Al-Aly.
Drafting of the manuscript: Xie, Al-Aly.
Critical revision of the manuscript for important intellectual content: All authors.
Statistical analysis: Xie, Bowe, Al-Aly.
Obtained funding: Al-Aly.
Administrative, technical, or material support: Al-Aly.
Supervision: Al-Aly.
Conflict of Interest Disclosures: Dr McGill reported receiving grants from Dexcom, Medtronic, and Novo Nordisk, and personal fees from Bayer, Boehringer Ingelheim, Lilly, Metavant, and Salix outside the submitted work. No other disclosures were reported.
Funding/Support: Support for Veterans Affairs/Centers for Medicare & Medicaid Services data was provided by the US Department of Veterans Affairs, Veterans Health Administration, Office of Research and Development, Health Services Research and Development, VA Information Resource Center (project number/data use agreement ID Al-Aly-01-A-1). This research was funded by the United States Department of Veterans Affairs and the Institute for Public Health at Washington University, St Louis, Missouri (Dr Al-Aly), an American Society of Nephrology and KidneyCure predoctoral fellowship award (Mr Xie), and an American Society of Nephrology and KidneyCure predoctoral fellowship award (Mr Bowe).
Role of the Funder/Sponsor: The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
Disclaimer: The contents do not represent the views of the US Department of Veterans Affairs or the US government.
Additional Contributions: Miguel Hernan, MD, PhD (Harvard T. H. Chan School of Public Health), provided input on this manuscript without financial compensation.
5.Mosenzon
O , Wiviott
SD , Cahn
A ,
et al. Effects of dapagliflozin on development and progression of kidney disease in patients with type 2 diabetes: an analysis from the DECLARE-TIMI 58 randomised trial.
Lancet Diabetes Endocrinol. 2019;7(8):606-617. doi:
10.1016/S2213-8587(19)30180-9
PubMedGoogle ScholarCrossref 7.Heerspink
HJ , Desai
M , Jardine
M , Balis
D , Meininger
G , Perkovic
V . Canagliflozin slows progression of renal function decline independently of glycemic effects.
J Am Soc Nephrol. 2017;28(1):368-375. doi:
10.1681/ASN.2016030278
PubMedGoogle ScholarCrossref 8.McMurray
JJV , Solomon
SD , Inzucchi
SE ,
et al; DAPA-HF Trial Committees and Investigators. Dapagliflozin in patients with heart failure and reduced ejection fraction.
N Engl J Med. 2019;381(21):1995-2008. doi:
10.1056/NEJMoa1911303
PubMedGoogle ScholarCrossref 10.Petrie
MC , Verma
S , Docherty
KF ,
et al. Effect of dapagliflozin on worsening heart failure and cardiovascular death in patients with heart failure with and without diabetes.
JAMA. 2020;323(14):1353-1368. doi:
10.1001/jama.2020.1906
PubMedGoogle ScholarCrossref 11.Xie
Y , Bowe
B , Gibson
AK ,
et al. Comparative effectiveness of SGLT2 inhibitors, GLP-1 receptor agonists, DPP-4 inhibitors, and sulfonylureas on risk of kidney outcomes: emulation of a target trial using health care databases.
Diabetes Care. 2020;43(11):2859-2869. doi:
10.2337/dc20-1890
PubMedGoogle ScholarCrossref 12.Xie
Y , Bowe
B , Gibson
AK ,
et al. Comparative effectiveness of the sodium-glucose cotransporter 2 inhibitor empagliflozin versus other antihyperglycemics on risk of major adverse kidney events.
Diabetes Care. 2020;43(11):2785-2795. doi:
10.2337/dc20-1231
PubMedGoogle ScholarCrossref 13.Heerspink
HJL , Karasik
A , Thuresson
M ,
et al. Kidney outcomes associated with use of SGLT2 inhibitors in real-world clinical practice (CVD-REAL 3): a multinational observational cohort study.
Lancet Diabetes Endocrinol. 2020;8(1):27-35. doi:
10.1016/S2213-8587(19)30384-5
PubMedGoogle ScholarCrossref 14.Kohsaka
S , Lam
CSP , Kim
DJ ,
et al; CVD-REAL 2 Investigators and Study Group. Risk of cardiovascular events and death associated with initiation of SGLT2 inhibitors compared with DPP-4 inhibitors: an analysis from the CVD-REAL 2 multinational cohort study.
Lancet Diabetes Endocrinol. 2020;8(7):606-615. doi:
10.1016/S2213-8587(20)30130-3
PubMedGoogle ScholarCrossref 15.Pasternak
B , Wintzell
V , Melbye
M ,
et al. Use of sodium-glucose co-transporter 2 inhibitors and risk of serious renal events: Scandinavian cohort study.
BMJ. 2020;369:m1186. doi:
10.1136/bmj.m1186
PubMedGoogle Scholar 16.Pasternak
B , Ueda
P , Eliasson
B ,
et al. Use of sodium glucose cotransporter 2 inhibitors and risk of major cardiovascular events and heart failure: Scandinavian register based cohort study.
BMJ. 2019;366:l4772. doi:
10.1136/bmj.l4772
PubMedGoogle Scholar 17.Filion
KB , Lix
LM , Yu
OH ,
et al; Canadian Network for Observational Drug Effect Studies (CNODES) Investigators. Sodium glucose cotransporter 2 inhibitors and risk of major adverse cardiovascular events: multi-database retrospective cohort study.
BMJ. 2020;370:m3342. doi:
10.1136/bmj.m3342
PubMedGoogle Scholar 18.Kosiborod
M , Lam
CSP , Kohsaka
S ,
et al; CVD-REAL Investigators and Study Group. Cardiovascular events associated with SGLT-2 inhibitors versus other glucose-lowering drugs: the CVD-REAL 2 Study.
J Am Coll Cardiol. 2018;71(23):2628-2639. doi:
10.1016/j.jacc.2018.03.009
PubMedGoogle ScholarCrossref 20.Birkeland
KI , Jørgensen
ME , Carstensen
B ,
et al. Cardiovascular mortality and morbidity in patients with type 2 diabetes following initiation of sodium-glucose co-transporter-2 inhibitors versus other glucose-lowering drugs (CVD-REAL Nordic): a multinational observational analysis.
Lancet Diabetes Endocrinol. 2017;5(9):709-717. doi:
10.1016/S2213-8587(17)30258-9
PubMedGoogle ScholarCrossref 21.Persson
F , Nyström
T , Jørgensen
ME ,
et al. Dapagliflozin is associated with lower risk of cardiovascular events and all-cause mortality in people with type 2 diabetes (CVD-REAL Nordic) when compared with dipeptidyl peptidase-4 inhibitor therapy: a multinational observational study.
Diabetes Obes Metab. 2018;20(2):344-351. doi:
10.1111/dom.13077
PubMedGoogle ScholarCrossref 22.Xie
Y , Bowe
B , Gibson
AK , McGill
JB , Maddukuri
G , Al-Aly
Z . Clinical implications of estimated glomerular filtration rate dip following sodium-glucose cotransporter-2 inhibitor initiation on cardiovascular and kidney outcomes.
J Am Heart Assoc. Published online May 20, 2021 doi:
10.1161/JAHA.120.020237Google Scholar 24.Xie
Y , Bowe
B , Li
T , Xian
H , Yan
Y , Al-Aly
Z . Risk of death among users of proton pump inhibitors: a longitudinal observational cohort study of United States veterans.
BMJ Open. 2017;7(6):e015735. doi:
10.1136/bmjopen-2016-015735
PubMedGoogle Scholar 28.Vincent
BM , Wiitala
W. L., , Burns
J. A., , Iwashyna
T. J., , Prescott
H. C., Using Veterans Affairs corporate data warehouse to identify 30-day hospital readmissions.
Health Servs Outcomes Res Methodology. 2018;18(3):143-154. doi:
10.1007/s10742-018-0178-3Google ScholarCrossref 29.Bowe
B , Artimovich
E , Xie
Y , Yan
Y , Cai
M , Al-Aly
Z . The global and national burden of chronic kidney disease attributable to ambient fine particulate matter air pollution: a modelling study.
BMJ Glob Health. 2020;5(3):e002063. doi:
10.1136/bmjgh-2019-002063
PubMedGoogle Scholar 31.Bowe
B , Xie
Y , Li
T , Yan
Y , Xian
H , Al-Aly
Z . Associations of ambient coarse particulate matter, nitrogen dioxide, and carbon monoxide with the risk of kidney disease: a cohort study.
Lancet Planet Health. 2017;1(7):e267-e276. doi:
10.1016/S2542-5196(17)30117-1
PubMedGoogle ScholarCrossref 32.Bowe
B , Xie
Y , Li
T , Yan
Y , Xian
H , Al-Aly
Z . Estimates of the 2016 global burden of kidney disease attributable to ambient fine particulate matter air pollution.
BMJ Open. 2019;9(5):e022450. doi:
10.1136/bmjopen-2018-022450
PubMedGoogle Scholar 34.VIReC Research. Veterans Health Administration Decision Support System Clinical National Data Extracts H, IL. US Department of Veterans Affairs. VA Information Resource Center; 2009.
35.Maynard
C. Ascertaining Veterans' Vital Status: VA Data Sources for Mortality Ascertainment and Cause of Death. Database & Methods Cyberseminar Series; 2017.
36.Hernán
M. Antihyperglycemic Therapy and Cardiovascular Risk: Design and Emulation of a Target Trial Using Healthcare Databases. Patient-Centered Outcomes Research Institute; 2019.
38.Xie
Y , Bowe
B , Yan
Y , Xian
H , Li
T , Al-Aly
Z . Estimates of all cause mortality and cause specific mortality associated with proton pump inhibitors among US veterans: cohort study.
BMJ. 2019;365:l1580. doi:
10.1136/bmj.l1580
PubMedGoogle Scholar 39.Neugebauer
R , Schmittdiel
JA , Zhu
Z , Rassen
JA , Seeger
JD , Schneeweiss
S . High-dimensional propensity score algorithm in comparative effectiveness research with time-varying interventions.
Stat Med. 2015;34(5):753-781. doi:
10.1002/sim.6377
PubMedGoogle ScholarCrossref 40.Li
F , Thomas
LE , Li
F . Addressing extreme propensity scores via the overlap weights.
Am J Epidemiol. 2019;188(1):250-257.
PubMedGoogle Scholar 46.Hernán
MA , Robins
JM . Causal Inference: What If. Chapman & Hall/CRC; 2020.
47.Estruch
R , Ros
E , Salas-Salvadó
J ,
et al; PREDIMED Study Investigators. Primary prevention of cardiovascular disease with a Mediterranean diet supplemented with extra-virgin olive oil or nuts.
N Engl J Med. 2018;378(25):e34. doi:
10.1056/NEJMoa1800389
PubMedGoogle Scholar 50.Zion Market Research. Oral Antidiabetic Drugs Market by Drugs Class Category for Type 2 Diabetes Mellitus: Global Industry Perspective, Comprehensive Analysis and Forecast, 2016-2022. Zion Market Research; 2017.
51.Davies
MJ , D’Alessio
DA , Fradkin
J ,
et al. Management of hyperglycemia in type 2 diabetes, 2018: a consensus report by the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD).
Diabetes Care. 2018;41(12):2669-2701. doi:
10.2337/dci18-0033
PubMedGoogle ScholarCrossref 52.Buse
JB , Wexler
DJ , Tsapas
A ,
et al. 2019 Update to: management of hyperglycemia in type 2 diabetes, 2018: a consensus report by the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD).
Diabetes Care. 2020;43(2):487-493. doi:
10.2337/dci19-0066
PubMedGoogle ScholarCrossref 53.Cosentino
F , Grant
PJ , Aboyans
V ,
et al; ESC Scientific Document Group. 2019 ESC guidelines on diabetes, pre-diabetes, and cardiovascular diseases developed in collaboration with the EASD.
Eur Heart J. 2020;41(2):255-323. doi:
10.1093/eurheartj/ehz486
PubMedGoogle ScholarCrossref 55.Tseng
YJ , Steinberg
G , Fox
KP , Armstrong
J , Mandl
KD . Antihyperglycemic medications: a claims-based estimate of first-line therapy use prior to initialization of second-line medications.
Diabetes Care. 2017;40(11):1500-1505. doi:
10.2337/dc17-0213
PubMedGoogle ScholarCrossref 56.Neuen
BL , Arnott
C , Perkovic
V ,
et al. Sodium-glucose co-transporter-2 inhibitors with and without metformin: a meta-analysis of cardiovascular, kidney and mortality outcomes.
Diabetes Obes Metab. 2021;23(2):382-390. doi:
10.1111/dom.14226
PubMedGoogle ScholarCrossref 58.McEwan
P , Bennett
H , Khunti
K ,
et al. Assessing the cost-effectiveness of sodium-glucose cotransporter-2 inhibitors in type 2 diabetes mellitus: a comprehensive economic evaluation using clinical trial and real-world evidence.
Diabetes Obes Metab. 2020;22(12):2364-2374. doi:
10.1111/dom.14162
PubMedGoogle ScholarCrossref