Skip to main content

Advertisement

Log in

Clinical cardiovascular phenotypes and the pattern of future events in patients with type 2 diabetes

  • Original Paper
  • Published:
Clinical Research in Cardiology Aims and scope Submit manuscript

Abstract

Importance

Updated guidelines on diabetes recommend targeting sodium–glucose cotransporter-2 inhibitors (SGLT2i) at patients at risk of heart failure (HF) and glucagon-like peptide-1 receptor agonists (GLP1-RA) at those at greater risk of atherothrombotic events.

Objective

We estimated the risk of different cardiovascular events in patients with type 2 diabetes (T2D) and newly established cardiovascular disease.

Design, setting and participants

Patients with T2D and newly established cardiovascular disease from 1998 to 2016 were identified using Danish healthcare registers and divided into one of four phenotype groups: (1) HF, (2) ischemic heart disease (IHD), (3) transient ischemic stroke (TIA)/ischemic stroke, and (4) peripheral artery disease (PAD). The absolute 5-year risk of the first HF- or atherothrombotic event occurring after inclusion was calculated, along with the risk of death.

Main outcomes and measures

The main outcome was the first event of either HF or an atherothrombotic event (IHD, TIA/ischemic stroke or PAD) in patients with T2D and  new-onset cardiovascular disease.

Results

Of the 37,850 patients included, 40% were female and the median age was 70 years. Patients with HF were at higher 5-year risk of a subsequent HF event (17.9%; 95% confidence interval (CI) 17.1–18.8%) than an atherothrombotic event (15.8%; 15.0–16.6%). Patients with IHD were at higher risk of a subsequent atherothrombotic event (24.6%; 23.9–25.3%) than developing HF, although the risk of HF was still substantial (10.6%; 10.2–11.1%). Conversely, patients with PAD were at low risk of developing HF (4.4%; 3.8–5.1%) but at high risk of developing an atherothrombotic event (15.9%; 14.9–17.1%). Patients with TIA/ischemic stroke had the lowest risk of HF (3.2%; 2.9–3.6%) and the highest risk of an atherothrombotic event (20.6%; 19.8–21.4).

Conclusions

In T2D, a patient’s cardiovascular phenotype can help predict the pattern of future cardiovascular events.

Graphical abstract

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4.

Similar content being viewed by others

Abbreviations

T2D:

Type 2 diabetes

SGLT2i:

Sodium–glucose cotransporter-2 inhibitors

HF:

Heart failure

GLP1-RA:

Glucagon-like peptide-1 receptor agonists

IHD:

Ischemic heart disease

TIA:

Transient ischemic stroke

PAD:

Peripheral artery disease

ATC:

Anatomical therapeutic chemical system

CI:

Confidence interval

ICD:

International Classification of Diseases

References

  1. Zinman B, Inzucchi SE, Wanner C et al (2018) Empagliflozin in women with type 2 diabetes and cardiovascular disease—an analysis of EMPA-REG OUTCOME(R). Diabetologia 61:1522–1527

    Article  Google Scholar 

  2. Zinman B, Wanner C, Lachin JM et al (2015) Empagliflozin, cardiovascular outcomes, and mortality in type 2 diabetes. N Engl J Med 373:2117–2128

    Article  CAS  Google Scholar 

  3. Mahaffey KW, Neal B, Perkovic V et al (2018) Canagliflozin for primary and secondary prevention of cardiovascular events: results from the CANVAS program (Canagliflozin Cardiovascular Assessment Study). Circulation 137:323–334

    Article  CAS  Google Scholar 

  4. Radholm K, Figtree G, Perkovic V et al (2018) Canagliflozin and heart failure in type 2 diabetes mellitus. Circulation 138:458–468

    Article  CAS  Google Scholar 

  5. Hernandez AF, Green JB, Janmohamed S et al (2018) Albiglutide and cardiovascular outcomes in patients with type 2 diabetes and cardiovascular disease (Harmony Outcomes): a double-blind, randomised placebo-controlled trial. Lancet 392:1519–1529

    Article  CAS  Google Scholar 

  6. Kristensen SL, Rorth R, Jhund PS et al (2019) Cardiovascular, mortality, and kidney outcomes with GLP-1 receptor agonists in patients with type 2 diabetes: a systematic review and meta-analysis of cardiovascular outcome trials. Lancet Diabetes Endocrinol 7:776–785

    Article  CAS  Google Scholar 

  7. McGuire DK, Shih WJ, Cosentino F et al (2021) Association of SGLT2 inhibitors with cardiovascular and kidney outcomes in patients with type 2 diabetes: a meta-analysis. JAMA Cardiol 6:148–158

    Article  Google Scholar 

  8. Gerstein HC, Sattar N, Rosenstock J et al (2021) Cardiovascular and renal outcomes with efpeglenatide in type 2 diabetes. N Engl J Med 385:896–907

    Article  CAS  Google Scholar 

  9. Sattar N, Lee MMY, Kristensen SL et al (2021) Cardiovascular, mortality, and kidney outcomes with GLP-1 receptor agonists in patients with type 2 diabetes: a systematic review and meta-analysis of randomised trials. Lancet Diabetes Endocrinol 9:653–662

    Article  CAS  Google Scholar 

  10. Margulies KB, Hernandez AF, Redfield MM et al (2016) Effects of liraglutide on clinical stability among patients with advanced heart failure and reduced ejection fraction: a randomized clinical trial. JAMA 316:500–508

    Article  CAS  Google Scholar 

  11. Jorsal A, Kistorp C, Holmager P et al (2017) Effect of liraglutide, a glucagon-like peptide-1 analogue, on left ventricular function in stable chronic heart failure patients with and without diabetes (LIVE)-a multicentre, double-blind, randomised, placebo-controlled trial. Eur J Heart Fail 19:69–77

    Article  CAS  Google Scholar 

  12. American DA (2019) Standards of medical care in diabetes-2019 abridged for primary care providers. Clin Diabetes 37:11–34

    Article  Google Scholar 

  13. Cosentino F, Grant PJ, Aboyans V et al (2019) ESC Guidelines on diabetes, pre-diabetes, and cardiovascular diseases developed in collaboration with the EASD. Eur Heart J 41(2):255–323

  14. American Diabetes A (2020) 9. Pharmacologic approaches to glycemic treatment: standards of medical care in diabetes-2020. Diabetes Care 43:S98–S110

    Article  Google Scholar 

  15. American Diabetes A (2020) 10. Cardiovascular disease and risk management: standards of medical care in diabetes-2020. Diabetes Care 43:S111–S134

    Article  Google Scholar 

  16. Pedersen CB, Gotzsche H, Moller JO, Mortensen PB (2006) The Danish Civil Registration System. A cohort of eight million persons. Dan Med Bull 53:441–449

    Google Scholar 

  17. Pottegard A, Schmidt SAJ, Wallach-Kildemoes H, Sorensen HT, Hallas J, Schmidt M (2017) Data resource profile: the Danish National Prescription Registry. Int J Epidemiol 46:798–798f

    Google Scholar 

  18. Schmidt M, Schmidt SA, Sandegaard JL, Ehrenstein V, Pedersen L, Sorensen HT (2015) The Danish National Patient Registry: a review of content, data quality, and research potential. Clin Epidemiol 7:449–490

    Article  Google Scholar 

  19. R: A language and environment for statistical computing. Vienna, Austria: R Development Core Team

  20. Schmoor C, Schumacher M, Finke J, Beyersmann J (2013) Competing risks and multistate models. Clin Cancer Res 19:12–21

    Article  Google Scholar 

  21. Dhindsa DS, Mehta A, Sandesara PB, Thobani A, Brandt S, Sperling LS (2019) Strategies for appropriate selection of SGLT2-i vs. GLP1-RA in persons with diabetes and cardiovascular disease. Curr Cardiol Rep 21:100

    Article  Google Scholar 

  22. Das SR, Everett BM, Birtcher KK et al (2018) 2018 ACC expert consensus decision pathway on novel therapies for cardiovascular risk reduction in patients with type 2 diabetes and atherosclerotic cardiovascular disease: a report of the American College of Cardiology Task Force on expert consensus decision pathways. J Am Coll Cardiol 72:3200–3223

    Article  Google Scholar 

  23. Newman JD, Vani AK, Aleman JO, Weintraub HS, Berger JS, Schwartzbard AZ (2018) The changing landscape of diabetes therapy for cardiovascular risk reduction: JACC state-of-the-art review. J Am Coll Cardiol 72:1856–1869

    Article  Google Scholar 

  24. McMurray JJV, DeMets DL, Inzucchi SE et al (2019) A trial to evaluate the effect of the sodium-glucose co-transporter 2 inhibitor dapagliflozin on morbidity and mortality in patients with heart failure and reduced left ventricular ejection fraction (DAPA-HF). Eur J Heart Fail 21:665–675

    Article  CAS  Google Scholar 

  25. McMurray JJV, DeMets DL, Inzucchi SE et al (2019) The Dapagliflozin And Prevention of Adverse-outcomes in Heart Failure (DAPA-HF) trial: baseline characteristics. Eur J Heart Fail 21:1402–1411

    Article  CAS  Google Scholar 

  26. Wiviott SD, Raz I, Bonaca MP et al (2018) The design and rationale for the Dapagliflozin Effect on Cardiovascular Events (DECLARE)-TIMI 58 Trial. Am Heart J 200:83–89

    Article  CAS  Google Scholar 

  27. Dunlay SM, Redfield MM, Weston SA et al (2009) Hospitalizations after heart failure diagnosis a community perspective. J Am Coll Cardiol 54:1695–1702

    Article  Google Scholar 

  28. Head T, Daunert S, Goldschmidt-Clermont PJ (2017) The aging risk and atherosclerosis: a fresh look at arterial homeostasis. Front Genet 8:216

    Article  Google Scholar 

  29. Dai X, Busby-Whitehead J, Forman DE, Alexander KP (2016) Stable ischemic heart disease in the older adults. J Geriatr Cardiol 13:109–114

    Google Scholar 

  30. Adelborg K, Szepligeti S, Sundboll J et al (2017) Risk of stroke in patients with heart failure: a population-based 30-year cohort study. Stroke 48:1161–1168

    Article  Google Scholar 

  31. Haeusler KG, Laufs U, Endres M (2011) Chronic heart failure and ischemic stroke. Stroke 42:2977–2982

    Article  Google Scholar 

  32. Witt BJ, Brown RD Jr, Jacobsen SJ et al (2006) Ischemic stroke after heart failure: a community-based study. Am Heart J 152:102–109

    Article  Google Scholar 

  33. Witt BJ, Gami AS, Ballman KV et al (2007) The incidence of ischemic stroke in chronic heart failure: a meta-analysis. J Card Fail 13:489–496

    Article  Google Scholar 

  34. Ohkuma T, Komorita Y, Peters SAE, Woodward M (2019) Diabetes as a risk factor for heart failure in women and men: a systematic review and meta-analysis of 47 cohorts including 12 million individuals. Diabetologia 62:1550–1560

    Article  Google Scholar 

  35. Regensteiner JG, Golden S, Huebschmann AG et al (2015) Sex differences in the cardiovascular consequences of diabetes mellitus: a scientific statement from the American Heart Association. Circulation 132:2424–2447

    Article  Google Scholar 

  36. Ballotari P, Venturelli F, Greci M, Giorgi Rossi P, Manicardi V (2017) Sex differences in the effect of type 2 diabetes on major cardiovascular diseases: results from a population-based study in Italy. Int J Endocrinol 2017:6039356

    Article  Google Scholar 

  37. Avogaro A, Giorda C, Maggini M et al (2007) Incidence of coronary heart disease in type 2 diabetic men and women: impact of microvascular complications, treatment, and geographic location. Diabetes Care 30:1241–1247

    Article  Google Scholar 

  38. Abbott RD, Donahue RP, Kannel WB, Wilson PW (1988) The impact of diabetes on survival following myocardial infarction in men vs women. The Framingham Study. JAMA 260:3456–3460

    Article  CAS  Google Scholar 

  39. Zelniker TA, Wiviott SD, Raz I et al (2019) Comparison of the effects of glucagon-like peptide receptor agonists and sodium-glucose cotransporter 2 inhibitors for prevention of major adverse cardiovascular and renal outcomes in type 2 diabetes mellitus. Circulation 139:2022–2031

    Article  CAS  Google Scholar 

  40. Dave CV, Kim SC, Goldfine AB, Glynn RJ, Tong A, Patorno E (2021) Risk of cardiovascular outcomes in patients with type 2 diabetes after addition of SGLT2 inhibitors versus sulfonylureas to baseline GLP-1RA therapy. Circulation 143:770–779

    Article  CAS  Google Scholar 

  41. Lam CSP, Ramasundarahettige C, Branch KRH et al (2022) Efpeglenatide and clinical outcomes with and without concomitant sodium-glucose cotransporter-2 inhibition use in type 2 diabetes: exploratory analysis of the AMPLITUDE-O trial. Circulation 145:565–574

    Article  CAS  Google Scholar 

  42. Schmidt M, Pedersen L, Sorensen HT (2014) The Danish Civil Registration System as a tool in epidemiology. Eur J Epidemiol 29:541–549

    Article  Google Scholar 

  43. Kumler T, Gislason GH, Kirk V et al (2008) Accuracy of a heart failure diagnosis in administrative registers. Eur J Heart Fail 10:658–660

    Article  Google Scholar 

  44. Mikkelsen KH, Knop FK, Frost M, Hallas J, Pottegard A (2015) Use of antibiotics and risk of type 2 diabetes: a population-based case-control study. J Clin Endocrinol Metab 100:3633–3640

    Article  CAS  Google Scholar 

  45. Schramm TK, Gislason GH, Kober L et al (2008) Diabetes patients requiring glucose-lowering therapy and nondiabetics with a prior myocardial infarction carry the same cardiovascular risk: a population study of 3.3 million people. Circulation 117:1945–1954

    Article  CAS  Google Scholar 

  46. Schramm TK, Gislason GH, Vaag A et al (2011) Mortality and cardiovascular risk associated with different insulin secretagogues compared with metformin in type 2 diabetes, with or without a previous myocardial infarction: a nationwide study. Eur Heart J 32:1900–1908

    Article  CAS  Google Scholar 

Download references

Funding

Mariam Elmegaard Malik was funded by a research grant from Department of Cardiology, Herlev and Gentofte Hospital.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mariam Elmegaard Malik.

Ethics declarations

Conflict of interest

All authors declare that they have no competing interests.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (PDF 751 KB)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Malik, M.E., Andersson, C., Blanche, P. et al. Clinical cardiovascular phenotypes and the pattern of future events in patients with type 2 diabetes. Clin Res Cardiol 112, 215–226 (2023). https://doi.org/10.1007/s00392-022-02016-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00392-022-02016-z

Keywords

Navigation