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August 30, 2010Diabetes Care161 citationsOpen Access

Diabetes, Glycemic Control, and New-Onset Heart Failure in Patients With Stable Coronary Artery Disease

JMJoost P. van MelleMBMariska BotPJPeter de Jonge

Key Result

In patients with stable coronary artery disease, diabetes was an independent predictor of new-onset heart failure (HR 3.34; 95% CI 1.65-6.76; P=0.001).

Key Points

  • This research investigates how diabetes and glycemic control influence the development of heart failure in patients with stable coronary artery disease.
  • Evaluated 839 outpatients with stable CAD and no prior heart failure over an average of 4.1 years.
  • Assessed the association of diabetes and A1C levels with new-onset heart failure.
  • Adjusted for various risk factors including demographics, cardiovascular health, and medication use.
  • 200 participants (23.8%) had diabetes, showing a 2.17 (95% CI 1.37-3.44) increased risk of heart failure.
  • Diabetes predicted heart failure independently with an HR of 3.34 (95% CI 1.65-6.76; P=0.001).
  • Each 1% increase in A1C correlated with a 36% increased hazard for heart failure hospitalization (HR 1.36 [95% CI 1.17-1.58]).

Study Design

Type

Cohort (n=839)

Structured PICO

Does diabetes and poor glycemic control increase the risk of new-onset heart failure in outpatients with stable coronary artery disease?

P
Population
839 outpatients with stable coronary artery disease and no history of heart failure, followed for an average of 4.1 years.
E
Exposure
Diabetes mellitus and higher A1C levels
C
Comparator
Absence of diabetes mellitus and lower A1C levels
O
Outcome
Incident heart failure (new-onset heart failure) and heart failure hospitalizationhard clinical

In patients with stable coronary artery disease, diabetes and poor glycemic control are strong, independent predictors of new-onset heart failure, irrespective of baseline ischemia, ventricular function, or interim myocardial infarction.

Main Result

Hazard Ratio: 3.34 (95% CI 1.65–6.76)

p-value: p=0.001

Abstract

OBJECTIVE: Diabetes is a predictor of both coronary artery disease (CAD) and heart failure. It is unknown to what extent the association between diabetes and heart failure is influenced by other risk factors for heart failure. RESEARCH DESIGN AND METHODS: We evaluated the association of diabetes and A1C with incident heart failure in outpatients with stable CAD and no history of heart failure (average follow-up 4.1 years). RESULTS: Of 839 participants, 200 had diabetes (23.8%). Compared with patients who did not have diabetes, those with diabetes had an increased risk of heart failure (hazard ratio HR 2.17 95% CI 1.37-3.44). Adjustment for risk factors for CAD (age, sex, race, smoking, physical inactivity, obesity, blood pressure, and LDL cholesterol), interim myocardial infarction, and myocardial ischemia did not alter the strength of the association between diabetes and heart failure. After inclusion also of other risk factors for heart failure (left ventricular ejection fraction, diastolic dysfunction, and C-reactive protein) and medication use, diabetes remained an independent predictor of heart failure (HR 3.34 95% CI 1.65-6.76; P = 0.001). Each 1% increase in A1C concentration was associated with a 36% increased HR of heart failure hospitalization (HR 1.36 95% CI 1.17-1.58). CONCLUSIONS: In patients with stable CAD who are free from heart failure at baseline, diabetes and glycemic control are independent risk factors for new-onset heart failure. The mechanisms by which diabetes and hyperglycemia lead to heart failure deserve further study, as the association is independent of baseline functional assessment of ischemia, systolic and diastolic function, and interim myocardial infarction.

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Cite This Study

Melle et al. (2010) conducted a cohort in Stable coronary artery disease (n=839). Diabetes vs. No diabetes was evaluated on Incident heart failure (HR 3.34, 95% CI 1.65-6.76, p=0.001). In patients with stable coronary artery disease, diabetes was an independent predictor of new-onset heart failure (HR 3.34; 95% CI 1.65-6.76; P=0.001).

synapsesocial.com/papers/6a1fff697110a651dc04d39bhttps://doi.org/10.2337/dc10-0286
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