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Published in: Cardiovascular Diabetology 1/2017

Open Access 01-12-2017 | Original investigation

Heart failure hospitalization risk associated with use of two classes of oral antidiabetic medications: an observational, real-world analysis

Authors: Santosh Gautam, Abiy Agiro, John Barron, Thomas Power, Harry Weisman, Jeff White

Published in: Cardiovascular Diabetology | Issue 1/2017

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Abstract

Background

Newer oral antidiabetic drug classes are expanding treatment options for type 2 diabetes mellitus (T2DM); however, concerns remain. The objective was to assess relative risk of heart failure hospitalization of sodium–glucose co-transporter-2 (SGLT2) and dipeptidyl peptidase-4 (DPP4) inhibitors in T2DM patients.

Methods

This retrospective observational study used a national commercially insured claims database. Adults (>18 years) with T2DM newly starting SGLT2 or DPP4 medication between April 2013 and December 2014 were included. Depending on their index fill, patients were grouped into either SGLT2 or DPP4 medication class cohorts. The primary outcome was hospitalization for heart failure and the risk was assessed using Cox regression models. Propensity score matching (1:2 ratio) was used to adjust for potential confounders. Analyses were also stratified by the presence of baseline diabetes complication and age (<65 vs 65+).

Results

The matched cohort included 4899 SGLT2 and 9798 DPP4 users. The risk of heart failure hospitalization was lower among SGLT2 users in comparison with matched DPP4 users (2.0% SGLT2 vs 3.1% DPP4; adjusted hazard ratio [aHR] 0.68; 95% confidence interval [CI] 0.54–0.86; p = .001). However, the stratified analyses revealed no risk difference among the majority of the analyzed patients, i.e., those aged <65, which comprised 85% of the matched cohort (aHR = 0.78; 95% CI 0.57–1.05; p = .09), and those without prior complication, which comprised 69% of matched cohort (aHR = 0.83; 95% CI 0.54–1.27; p = 0.40).

Conclusions

In this real-life analysis, the rate of hospitalizations for heart failure was significantly lower for patients initiating an SGLT2 compared with a DPP4 medication, specifically among older patients and those with diabetes complication.
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Literature
2.
go back to reference Geiss LS, Li Y, Kirtland K, Barker L, Burrows NR, Gregg EW. Increasing prevalence of diagnosed diabetes—United States and Puerto Rico, 1995–2010. MMWR. 2012;61(45):918–21. Geiss LS, Li Y, Kirtland K, Barker L, Burrows NR, Gregg EW. Increasing prevalence of diagnosed diabetes—United States and Puerto Rico, 1995–2010. MMWR. 2012;61(45):918–21.
3.
go back to reference Kannel WB, Hjortland M, Castelli WP. Role of diabetes in congestive heart failure: the Framingham study. Am J Cardiol. 1974;34(1):29–34.CrossRefPubMed Kannel WB, Hjortland M, Castelli WP. Role of diabetes in congestive heart failure: the Framingham study. Am J Cardiol. 1974;34(1):29–34.CrossRefPubMed
4.
go back to reference Ho KK, Pinsky JL, Kannel WB, Levy D. The epidemiology of heart failure: the Framingham study. J Am Coll Cardiol. 1993;22(4 Suppl A):6A–13A.CrossRefPubMed Ho KK, Pinsky JL, Kannel WB, Levy D. The epidemiology of heart failure: the Framingham study. J Am Coll Cardiol. 1993;22(4 Suppl A):6A–13A.CrossRefPubMed
5.
go back to reference Desai AS, Stevenson LW. Rehospitalization for heart failure: predict or prevent? Circulation. 2012;126(4):501–6.CrossRefPubMed Desai AS, Stevenson LW. Rehospitalization for heart failure: predict or prevent? Circulation. 2012;126(4):501–6.CrossRefPubMed
7.
go back to reference Filion KB, Azoulay L, Platt RW, Dahl M, Dormuth CR, Clemens KK, Hu N, Paterson JM, Targownik L, Turin TC, et al. A multicenter observational study of incretin-based drugs and heart failure. N Engl J Med. 2016;374(12):1145–54.CrossRefPubMed Filion KB, Azoulay L, Platt RW, Dahl M, Dormuth CR, Clemens KK, Hu N, Paterson JM, Targownik L, Turin TC, et al. A multicenter observational study of incretin-based drugs and heart failure. N Engl J Med. 2016;374(12):1145–54.CrossRefPubMed
8.
go back to reference Foote C, Perkovic V, Neal B. Effects of SGLT2 inhibitors on cardiovascular outcomes. Diabetes Vasc Dis Res. 2012;9(2):117–23.CrossRef Foote C, Perkovic V, Neal B. Effects of SGLT2 inhibitors on cardiovascular outcomes. Diabetes Vasc Dis Res. 2012;9(2):117–23.CrossRef
9.
go back to reference Green JB, Bethel MA, Armstrong PW, Buse JB, Engel SS, Garg J, Josse R, Kaufman KD, Koglin J, Korn S, et al. Effect of sitagliptin on cardiovascular outcomes in type 2 diabetes. N Engl J Med. 2015;373(3):232–42.CrossRefPubMed Green JB, Bethel MA, Armstrong PW, Buse JB, Engel SS, Garg J, Josse R, Kaufman KD, Koglin J, Korn S, et al. Effect of sitagliptin on cardiovascular outcomes in type 2 diabetes. N Engl J Med. 2015;373(3):232–42.CrossRefPubMed
10.
go back to reference Scirica BM, Bhatt DL, Braunwald E, Steg PG, Davidson J, Hirshberg B, Ohman P, Frederich R, Wiviott SD, Hoffman EB, et al. Saxagliptin and cardiovascular outcomes in patients with type 2 diabetes mellitus. N Engl J Med. 2013;369(14):1317–26.CrossRefPubMed Scirica BM, Bhatt DL, Braunwald E, Steg PG, Davidson J, Hirshberg B, Ohman P, Frederich R, Wiviott SD, Hoffman EB, et al. Saxagliptin and cardiovascular outcomes in patients with type 2 diabetes mellitus. N Engl J Med. 2013;369(14):1317–26.CrossRefPubMed
11.
go back to reference Toh S, Hampp C, Reichman ME, Graham DJ, Balakrishnan S, Pucino F, Hamilton J, Lendle S, Iyer A, Rucker M, et al. Risk for hospitalized heart failure among new users of saxagliptin, sitagliptin, and other antihyperglycemic drugs: a retrospective cohort study. Ann Intern Med. 2016;164(11):705–14.CrossRefPubMedPubMedCentral Toh S, Hampp C, Reichman ME, Graham DJ, Balakrishnan S, Pucino F, Hamilton J, Lendle S, Iyer A, Rucker M, et al. Risk for hospitalized heart failure among new users of saxagliptin, sitagliptin, and other antihyperglycemic drugs: a retrospective cohort study. Ann Intern Med. 2016;164(11):705–14.CrossRefPubMedPubMedCentral
12.
go back to reference Zannad F, Cannon CP, Cushman WC, Bakris GL, Menon V, Perez AT, Fleck PR, Mehta CR, Kupfer S, Wilson C, et al. Heart failure and mortality outcomes in patients with type 2 diabetes taking alogliptin versus placebo in EXAMINE: a multicentre, randomised, double-blind trial. Lancet. 2015;385(9982):2067–76.CrossRefPubMed Zannad F, Cannon CP, Cushman WC, Bakris GL, Menon V, Perez AT, Fleck PR, Mehta CR, Kupfer S, Wilson C, et al. Heart failure and mortality outcomes in patients with type 2 diabetes taking alogliptin versus placebo in EXAMINE: a multicentre, randomised, double-blind trial. Lancet. 2015;385(9982):2067–76.CrossRefPubMed
13.
go back to reference Zinman B, Wanner C, Lachin JM, Fitchett D, Bluhmki E, Hantel S, Mattheus M, Devins T, Johansen OE, Woerle HJ, et al. Empagliflozin, cardiovascular outcomes, and mortality in type 2 diabetes. N Engl J Med. 2015;373(22):2117–28.CrossRefPubMed Zinman B, Wanner C, Lachin JM, Fitchett D, Bluhmki E, Hantel S, Mattheus M, Devins T, Johansen OE, Woerle HJ, et al. Empagliflozin, cardiovascular outcomes, and mortality in type 2 diabetes. N Engl J Med. 2015;373(22):2117–28.CrossRefPubMed
14.
go back to reference Pharmacologic approaches to glycemic treatment. Diabetes Care. 2017;40(Suppl 1):S64–74. Pharmacologic approaches to glycemic treatment. Diabetes Care. 2017;40(Suppl 1):S64–74.
16.
go back to reference Fadini GP, Avogaro A, Degli Esposti L, Russo P, Saragoni S, Buda S, Rosano G, Pecorelli S, Pani L. Risk of hospitalization for heart failure in patients with type 2 diabetes newly treated with DPP-4 inhibitors or other oral glucose-lowering medications: a retrospective registry study on 127,555 patients from the Nationwide OsMed Health-DB database. Eur Heart J. 2015;36(36):2454–62.CrossRefPubMed Fadini GP, Avogaro A, Degli Esposti L, Russo P, Saragoni S, Buda S, Rosano G, Pecorelli S, Pani L. Risk of hospitalization for heart failure in patients with type 2 diabetes newly treated with DPP-4 inhibitors or other oral glucose-lowering medications: a retrospective registry study on 127,555 patients from the Nationwide OsMed Health-DB database. Eur Heart J. 2015;36(36):2454–62.CrossRefPubMed
17.
go back to reference Kim SC, Glynn RJ, Liu J, Everett BM, Goldfine AB. Dipeptidyl peptidase-4 inhibitors do not increase the risk of cardiovascular events in type 2 diabetes: a cohort study. Acta Diabetol. 2014;51(6):1015–23.CrossRefPubMedPubMedCentral Kim SC, Glynn RJ, Liu J, Everett BM, Goldfine AB. Dipeptidyl peptidase-4 inhibitors do not increase the risk of cardiovascular events in type 2 diabetes: a cohort study. Acta Diabetol. 2014;51(6):1015–23.CrossRefPubMedPubMedCentral
18.
go back to reference Velez M, Peterson EL, Wells K, Swadia T, Sabbah HN, Williams LK, Lanfear DE. Association of antidiabetic medications targeting the glucagon-like peptide 1 pathway and heart failure events in patients with diabetes. J Card Fail. 2015;21(1):2–8.CrossRefPubMed Velez M, Peterson EL, Wells K, Swadia T, Sabbah HN, Williams LK, Lanfear DE. Association of antidiabetic medications targeting the glucagon-like peptide 1 pathway and heart failure events in patients with diabetes. J Card Fail. 2015;21(1):2–8.CrossRefPubMed
20.
go back to reference Ray WA. Evaluating medication effects outside of clinical trials: new-user designs. Am J Epidemiol. 2003;158(9):915–20.CrossRefPubMed Ray WA. Evaluating medication effects outside of clinical trials: new-user designs. Am J Epidemiol. 2003;158(9):915–20.CrossRefPubMed
21.
go back to reference Deyo RA, Cherkin DC, Ciol MA. Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases. J Clin Epidemiol. 1992;45(6):613–9.CrossRefPubMed Deyo RA, Cherkin DC, Ciol MA. Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases. J Clin Epidemiol. 1992;45(6):613–9.CrossRefPubMed
22.
go back to reference Young BA, Lin E, Von Korff M, Simon G, Ciechanowski P, Ludman EJ, Everson-Stewart S, Kinder L, Oliver M, Boyko EJ, et al. Diabetes complications severity index and risk of mortality, hospitalization, and healthcare utilization. Am J Manag Care. 2008;14(1):15–23.PubMedPubMedCentral Young BA, Lin E, Von Korff M, Simon G, Ciechanowski P, Ludman EJ, Everson-Stewart S, Kinder L, Oliver M, Boyko EJ, et al. Diabetes complications severity index and risk of mortality, hospitalization, and healthcare utilization. Am J Manag Care. 2008;14(1):15–23.PubMedPubMedCentral
23.
go back to reference Fairman K, Motheral B. Evaluating medication adherence: which measure is right for your program? J Manag Care Pharm. 2000;6(6):499–504. Fairman K, Motheral B. Evaluating medication adherence: which measure is right for your program? J Manag Care Pharm. 2000;6(6):499–504.
24.
go back to reference Austin PC. Using the standardized difference to compare the prevalence of a binary variable between two groups in observational research. Commun Stat Simul Comput. 2009;38(6):1228–34.CrossRef Austin PC. Using the standardized difference to compare the prevalence of a binary variable between two groups in observational research. Commun Stat Simul Comput. 2009;38(6):1228–34.CrossRef
25.
go back to reference Austin PC, Stuart EA. Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal effects in observational studies. Stat Med. 2015;34(28):3661–79.CrossRefPubMedPubMedCentral Austin PC, Stuart EA. Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal effects in observational studies. Stat Med. 2015;34(28):3661–79.CrossRefPubMedPubMedCentral
26.
go back to reference Parsons LS. Reducing bias in a propensity score matched-pair sample using greedy matching techniques. In: Proceedings of the twenty-sixth annual SAS users group international conference: 2001. Long Beach: SAS Institute, Inc.; 2001. p. 214–26. Parsons LS. Reducing bias in a propensity score matched-pair sample using greedy matching techniques. In: Proceedings of the twenty-sixth annual SAS users group international conference: 2001. Long Beach: SAS Institute, Inc.; 2001. p. 214–26.
27.
go back to reference Austin PC. The performance of different propensity score methods for estimating marginal hazard ratios. Stat Med. 2013;32:2837–49.CrossRefPubMed Austin PC. The performance of different propensity score methods for estimating marginal hazard ratios. Stat Med. 2013;32:2837–49.CrossRefPubMed
28.
go back to reference Fewell Z, Hernan MA, Wolfe F, Tilling K, Choi H, Sterne JAC. Controlling for time-dependent confounding using marginal structural models. Stata J. 2004;4(4):402–20. Fewell Z, Hernan MA, Wolfe F, Tilling K, Choi H, Sterne JAC. Controlling for time-dependent confounding using marginal structural models. Stata J. 2004;4(4):402–20.
29.
go back to reference Robins JM, Hernan MA, Brumback B. Marginal structural models and causal inference in epidemiology. Epidemiology. 2000;11(5):550–60.CrossRefPubMed Robins JM, Hernan MA, Brumback B. Marginal structural models and causal inference in epidemiology. Epidemiology. 2000;11(5):550–60.CrossRefPubMed
30.
go back to reference Eurich DT, Weir DL, Simpson SH, Senthilselvan A, McAlister FA. Risk of new onset heart failure in patients using sitagliptin: a population-based cohort study. Diabet Med. 2016;33(5):621–30.CrossRefPubMed Eurich DT, Weir DL, Simpson SH, Senthilselvan A, McAlister FA. Risk of new onset heart failure in patients using sitagliptin: a population-based cohort study. Diabet Med. 2016;33(5):621–30.CrossRefPubMed
31.
go back to reference Fu AZ, Johnston SS, Ghannam A, Tsai K, Cappell K, Fowler R, Riehle E, Cole AL, Kalsekar I, Sheehan J. Association between hospitalization for heart failure and dipeptidyl peptidase 4 inhibitors in patients with type 2 diabetes: an observational study. Diabetes Care. 2016;39(5):726–34.CrossRefPubMed Fu AZ, Johnston SS, Ghannam A, Tsai K, Cappell K, Fowler R, Riehle E, Cole AL, Kalsekar I, Sheehan J. Association between hospitalization for heart failure and dipeptidyl peptidase 4 inhibitors in patients with type 2 diabetes: an observational study. Diabetes Care. 2016;39(5):726–34.CrossRefPubMed
32.
go back to reference Yu OH, Filion KB, Azoulay L, Majdan A, Suissa S. Incretin-based drugs and the risk of congestive heart failure. Diabetes Care. 2015;38(2):277–84.CrossRefPubMed Yu OH, Filion KB, Azoulay L, Majdan A, Suissa S. Incretin-based drugs and the risk of congestive heart failure. Diabetes Care. 2015;38(2):277–84.CrossRefPubMed
33.
go back to reference Monami M, Dicembrini I, Mannucci E. Dipeptidyl peptidase-4 inhibitors and heart failure: a meta-analysis of randomized clinical trials. Nutr Metab Cardiovasc Dis. 2014;24(7):689–97.CrossRefPubMed Monami M, Dicembrini I, Mannucci E. Dipeptidyl peptidase-4 inhibitors and heart failure: a meta-analysis of randomized clinical trials. Nutr Metab Cardiovasc Dis. 2014;24(7):689–97.CrossRefPubMed
34.
go back to reference Savarese G, Perrone-Filardi P, D’Amore C, Vitale C, Trimarco B, Pani L, Rosano GM. Cardiovascular effects of dipeptidyl peptidase-4 inhibitors in diabetic patients: a meta-analysis. Int J Cardiol. 2015;181:239–44.CrossRefPubMed Savarese G, Perrone-Filardi P, D’Amore C, Vitale C, Trimarco B, Pani L, Rosano GM. Cardiovascular effects of dipeptidyl peptidase-4 inhibitors in diabetic patients: a meta-analysis. Int J Cardiol. 2015;181:239–44.CrossRefPubMed
35.
go back to reference Wu S, Hopper I, Skiba M, Krum H. Dipeptidyl peptidase-4 inhibitors and cardiovascular outcomes: meta-analysis of randomized clinical trials with 55,141 participants. Cardiovasc Ther. 2014;32(4):147–58.CrossRefPubMed Wu S, Hopper I, Skiba M, Krum H. Dipeptidyl peptidase-4 inhibitors and cardiovascular outcomes: meta-analysis of randomized clinical trials with 55,141 participants. Cardiovasc Ther. 2014;32(4):147–58.CrossRefPubMed
36.
go back to reference Neal B, Perkovic V, Mahaffey KW, De Zeeuw D, Fulcher G, Erondu N, Shaw W, Law G, Desai M, Matthews D. Canagliflozin and cardiovascular and renal events in type 2 diabetes. N Engl J Med. 2017. doi:10.1056/NEJMoa1611925 (published online ahead of print June 12, 2017). Neal B, Perkovic V, Mahaffey KW, De Zeeuw D, Fulcher G, Erondu N, Shaw W, Law G, Desai M, Matthews D. Canagliflozin and cardiovascular and renal events in type 2 diabetes. N Engl J Med. 2017. doi:10.​1056/​NEJMoa1611925 (published online ahead of print June 12, 2017).
37.
go back to reference Kosiborod M, Cavender MA, Fu AZ, Wilding JP, Khunti K, Holl RW, Norhammar A, Birkeland KI, Jørgensen M, Thuresson M, et al. Lower risk of heart failure and death in patients initiated on SGLT-2 inhibitors versus other glucose-lowering drugs: the CVD-REAL study. Circulation. 2017. doi:10.1161/CIRCULATIONAHA.117.029190 (published online ahead of print May 18, 2017).PubMed Kosiborod M, Cavender MA, Fu AZ, Wilding JP, Khunti K, Holl RW, Norhammar A, Birkeland KI, Jørgensen M, Thuresson M, et al. Lower risk of heart failure and death in patients initiated on SGLT-2 inhibitors versus other glucose-lowering drugs: the CVD-REAL study. Circulation. 2017. doi:10.​1161/​CIRCULATIONAHA.​117.​029190 (published online ahead of print May 18, 2017).PubMed
38.
go back to reference Ampudia-Blasco FJ, Romera I, Arino B, Gomis R. Following the results of the EMPA-REG OUTCOME trial with empagliflozin, is it possible to speak of a class effect? Int J Gen Med. 2017;10:23–6.CrossRefPubMedPubMedCentral Ampudia-Blasco FJ, Romera I, Arino B, Gomis R. Following the results of the EMPA-REG OUTCOME trial with empagliflozin, is it possible to speak of a class effect? Int J Gen Med. 2017;10:23–6.CrossRefPubMedPubMedCentral
39.
go back to reference Sattar N, McLaren J, Kristensen SL, Preiss D, McMurray JJ. SGLT2 inhibition and cardiovascular events: why did EMPA-REG outcomes surprise and what were the likely mechanisms? Diabetologia. 2016;59(7):1333–9.CrossRefPubMedPubMedCentral Sattar N, McLaren J, Kristensen SL, Preiss D, McMurray JJ. SGLT2 inhibition and cardiovascular events: why did EMPA-REG outcomes surprise and what were the likely mechanisms? Diabetologia. 2016;59(7):1333–9.CrossRefPubMedPubMedCentral
41.
go back to reference Sonesson C, Johansson PA, Gause-Nilsson I. Cardiovascular effects of dapagliflozin in patients with type 2 diabetes and different risk categories: a meta-analysis. Cardiovasc Diabetol. 2016;15:37.CrossRefPubMedPubMedCentral Sonesson C, Johansson PA, Gause-Nilsson I. Cardiovascular effects of dapagliflozin in patients with type 2 diabetes and different risk categories: a meta-analysis. Cardiovasc Diabetol. 2016;15:37.CrossRefPubMedPubMedCentral
42.
go back to reference Nakamura T, Iwanaga Y, Miyaji Y, Nohara R, Ishimura T, Miyazaki S. Cardiovascular efficacy of sitagliptin in patients with diabetes at high risk of cardiovascular disease: a 12-month follow-up. Cardiovasc Diabetol. 2016;15:54.CrossRefPubMedPubMedCentral Nakamura T, Iwanaga Y, Miyaji Y, Nohara R, Ishimura T, Miyazaki S. Cardiovascular efficacy of sitagliptin in patients with diabetes at high risk of cardiovascular disease: a 12-month follow-up. Cardiovasc Diabetol. 2016;15:54.CrossRefPubMedPubMedCentral
43.
go back to reference Abdul-Ghani M, Del Prato S, Chilton R, DeFronzo RA. SGLT2 inhibitors and cardiovascular risk: lessons learned from the EMPA-REG OUTCOME study. Diabetes Care. 2016;39(5):717–25.CrossRefPubMedPubMedCentral Abdul-Ghani M, Del Prato S, Chilton R, DeFronzo RA. SGLT2 inhibitors and cardiovascular risk: lessons learned from the EMPA-REG OUTCOME study. Diabetes Care. 2016;39(5):717–25.CrossRefPubMedPubMedCentral
44.
go back to reference Martens P, Mathieu C, Verbrugge FH. Promise of SGLT2 inhibitors in heart failure: diabetes and beyond. Curr Treat Options Cardiovasc Med. 2017;19(3):23.CrossRefPubMed Martens P, Mathieu C, Verbrugge FH. Promise of SGLT2 inhibitors in heart failure: diabetes and beyond. Curr Treat Options Cardiovasc Med. 2017;19(3):23.CrossRefPubMed
45.
go back to reference Kusaka H, Koibuchi N, Hasegawa Y, Ogawa H, Kim-Mitsuyama S. Empagliflozin lessened cardiac injury and reduced visceral adipocyte hypertrophy in prediabetic rats with metabolic syndrome. Cardiovasc Diabetol. 2016;15:157.CrossRefPubMedPubMedCentral Kusaka H, Koibuchi N, Hasegawa Y, Ogawa H, Kim-Mitsuyama S. Empagliflozin lessened cardiac injury and reduced visceral adipocyte hypertrophy in prediabetic rats with metabolic syndrome. Cardiovasc Diabetol. 2016;15:157.CrossRefPubMedPubMedCentral
46.
go back to reference Saine ME, Carbonari DM, Newcomb CW, Nezamzadeh MS, Haynes K, Roy JA, Cardillo S, Hennessy S, Holick CN, Esposito DB, et al. Determinants of saxagliptin use among patients with type 2 diabetes mellitus treated with oral anti-diabetic drugs. BMC Pharmacol Toxicol. 2015;16:8.CrossRefPubMedPubMedCentral Saine ME, Carbonari DM, Newcomb CW, Nezamzadeh MS, Haynes K, Roy JA, Cardillo S, Hennessy S, Holick CN, Esposito DB, et al. Determinants of saxagliptin use among patients with type 2 diabetes mellitus treated with oral anti-diabetic drugs. BMC Pharmacol Toxicol. 2015;16:8.CrossRefPubMedPubMedCentral
48.
go back to reference Standards of medical care in diabetes—2017: summary of revisions. Diabetes Care. 2017;40(Supppl 1):S4–S5. Standards of medical care in diabetes—2017: summary of revisions. Diabetes Care. 2017;40(Supppl 1):S4–S5.
49.
go back to reference Handelsman Y, Bloomgarden ZT, Grunberger G, Umpierrez G, Zimmerman RS, Bailey TS, Blonde L, Bray GA, Cohen AJ, Dagogo-Jack S, et al. American Association of Clinical Endocrinologists and American College of Endocrinology—clinical practice guidelines for developing a diabetes mellitus comprehensive care plan—2015. Endocr Pract. 2015;21(Suppl 1):1–87.CrossRefPubMedPubMedCentral Handelsman Y, Bloomgarden ZT, Grunberger G, Umpierrez G, Zimmerman RS, Bailey TS, Blonde L, Bray GA, Cohen AJ, Dagogo-Jack S, et al. American Association of Clinical Endocrinologists and American College of Endocrinology—clinical practice guidelines for developing a diabetes mellitus comprehensive care plan—2015. Endocr Pract. 2015;21(Suppl 1):1–87.CrossRefPubMedPubMedCentral
50.
go back to reference Heman MA, Brumbeack B, Robins JM. Marginal structural models to estimate the causal effect of zidovudine on the survival of HIV-positive men. Epidemiology. 2000;11(5):561–70.CrossRef Heman MA, Brumbeack B, Robins JM. Marginal structural models to estimate the causal effect of zidovudine on the survival of HIV-positive men. Epidemiology. 2000;11(5):561–70.CrossRef
Metadata
Title
Heart failure hospitalization risk associated with use of two classes of oral antidiabetic medications: an observational, real-world analysis
Authors
Santosh Gautam
Abiy Agiro
John Barron
Thomas Power
Harry Weisman
Jeff White
Publication date
01-12-2017
Publisher
BioMed Central
Published in
Cardiovascular Diabetology / Issue 1/2017
Electronic ISSN: 1475-2840
DOI
https://doi.org/10.1186/s12933-017-0575-x

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