Prevalence of pre-existing dysglycaemia among inpatients with acute coronary syndrome and associations with outcomes

Diabetes Res Clin Pract. 2019 Aug:154:130-137. doi: 10.1016/j.diabres.2019.07.002. Epub 2019 Jul 4.

Abstract

Aims: We aimed to confirm the hypothesis that dysglycaemia including in the pre-diabetes range affects a majority of patients admitted with acute coronary syndrome (ACS) and is associated with worse outcomes.

Methods: In this prospective observational cohort study, consecutive inpatients aged ≥ 54 years with ACS were uniformly tested and categorised into diabetes (prior diagnosis/ HbA1c ≥ 6.5%, ≥48 mmol/mol), pre-diabetes (HbA1c 5.7-6.4%, 39-47 mmol/mol) and no diabetes (HbA1c ≤ 5.6%, ≤38 mmol/mol) groups.

Results: Over two years, 847 consecutive inpatients presented with ACS. 313 (37%) inpatients had diabetes, 312 (37%) had pre-diabetes and 222 (25%) had no diabetes. Diabetes, compared with no diabetes, was associated with higher odds of acute pulmonary oedema (APO, odds ratio, OR 2.60, p < 0.01), longer length of stay (LOS, incidence rate ratio, IRR 1.18, p = 0.02) and, 12-month ACS recurrence (OR 1.86, p = 0.046) after adjustment, while no significant associations were identified for pre-diabetes. Analysed as a continuous variable, every 1% (11 mmol/mol) increase in HbA1c was associated with increased odds of APO (OR 1.28, P = 0.002) and a longer LOS (IRR 1.05, P = 0.03).

Conclusions: The high prevalence of dysglycaemia and association with poorer clinical outcomes justifies routine HbA1c testing to identify individuals who may benefit from cardioprotective anti-hyperglycaemic agents and, lifestyle modification to prevent progression of pre-diabetes.

Keywords: Cardiovascular; Diabetes; Heart failure; Myocardial infarction; Pre-diabetes; Unstable angina.

Publication types

  • Observational Study

MeSH terms

  • Acute Coronary Syndrome / epidemiology*
  • Aged
  • Aged, 80 and over
  • Australia / epidemiology
  • Diabetes Mellitus / physiopathology*
  • Female
  • Hospitalization / statistics & numerical data*
  • Humans
  • Inpatients / statistics & numerical data*
  • Male
  • Middle Aged
  • Prediabetic State / physiopathology*
  • Prevalence
  • Prognosis
  • Prospective Studies