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Body mass index and heart failure among patients with type 2 diabetes mellitus.

ABSTRACT: Epidemiological data on the association between body mass index (BMI) and heart failure (HF) risk among diabetic patients are rare.We performed a prospective cohort study of risk for HF among 31 155 patients with type 2 diabetes mellitus (11 468 men and 19 687 women). Cox proportional hazards regression models were used to estimate the association of different levels of BMI with HF risk. During a mean follow-up of 7.8 years, 5834 subjects developed HF (2379 men and 3455 women). The multivariable-adjusted (age, race, smoking, income, and type of insurance) hazard ratios of HF associated with BMI levels (18.5-22.9, 23-24.9, 25-29.9 [reference group], 30-34.9, 35-39.9, and ?40 kg/m(2)) at baseline were 0.95, 1.00, 1.00, 1.16, 1.64, and 2.02 (Ptrend<0.001) for men and 1.16, 1.16, 1.00, 1.23, 1.55, and 2.01 (Pnonlinear<0.001) for women, respectively. When we used an updated mean value of BMI, the association of HF risk with BMI did not change. When stratified by age, race, smoking status, and use of antidiabetic drugs, the positive associations among men and the J-shaped associations among women were still present.Our study suggests a positive association between BMI and HF risk among men and a J-shaped association between BMI and HF risk among women with type 2 diabetes mellitus.

SUBMITTER: Li W

PROVIDER: S-EPMC4586150 | biostudies-literature | 2015 May

REPOSITORIES: biostudies-literature

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Body mass index and heart failure among patients with type 2 diabetes mellitus.

Li Weiqin W Katzmarzyk Peter T PT Horswell Ronald R Zhang Yonggang Y Wang Yujie Y Johnson Jolene J Hu Gang G

Circulation. Heart failure 20150213 3

<h4>Background</h4>Epidemiological data on the association between body mass index (BMI) and heart failure (HF) risk among diabetic patients are rare.<h4>Methods and results</h4>We performed a prospective cohort study of risk for HF among 31 155 patients with type 2 diabetes mellitus (11 468 men and 19 687 women). Cox proportional hazards regression models were used to estimate the association of different levels of BMI with HF risk. During a mean follow-up of 7.8 years, 5834 subjects developed ...[more]

PMID: 25681435

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Project description:Diabetes and heart failure are closely related: patients with diabetes have an increased risk of developing heart failure and those with heart failure are at higher risk of developing diabetes. Furthermore, antidiabetic medications increase the risk of mortality and hospitalisation for heart failure in patients with and without pre-existing heart failure. When the two diseases are considered individually, heart failure has a much poorer prognosis than diabetes mellitus; therefore heart failure has to be a priority for treatment in patients presenting with the two conditions, and the diabetic patient with heart failure should be managed by the heart failure team. No specific randomised clinical trials have been conducted to test the effect of cardiovascular drugs in diabetic patients with heart failure, but a wealth of evidence suggests that all interventions effective at improving prognosis in patients with heart failure are equally beneficial in patients with and without diabetes. The negative effect of glucose-lowering agents in patients with heart failure or at increased risk of heart failure has become evident after the withdrawal of rosiglitazone, a thiazolidinedione, from the EU market due to evidence of increased risk of cardiovascular events and hospitalisations for heart failure. An important issue that remains unresolved is the optimal target level of glycated haemoglobin, as recent studies have demonstrated significant reductions in total mortality, morbidity and risk of heart failure despite achieving HbA1c levels similar to those observed in the UKPDS study conducted some decades ago. Meta-analyses showed that intensive glucose lowering is not associated with any significant reduction in cardiovascular risk but conversely results in a significant increase in heart failure risk. Different medications have different risk: benefit ratios in diabetic patients with heart failure; therefore, the heart failure team must judge the required intensity of glycaemic control, the type and dose of glucose lowering agents and any change in glucose-lowering therapy, according to the clinical conditions present.

Project description:AimsThere are limited data examining whether body mass index (BMI) influences the association between cardiovascular biomarkers and incident heart failure (HF).Methods and resultsThirteen biomarkers representing key HF domains were measured: N-terminal pro-B-type natriuretic peptide (NT-proBNP), mid-regional pro-A-type natriuretic peptide (MR-proANP), cardiac troponin T (cTnT), C-reactive protein, procalcitonin, galectin-3, C-terminal pro-endothelin-1 (CT-proET-1), mid-regional pro-adrenomedullin, plasminogen activator inhibitor-1, copeptin, renin, aldosterone, and cystatin-C. Associations of biomarkers with BMI were examined using linear regression models, and with incident HF using Cox regression models. We selected biomarkers significantly associated with incident HF, and evaluated whether BMI modified these associations. Among 8202 individuals, 41% were overweight (BMI 25-30 kg/m2 ), and 16% were obese (BMI ≥30 kg/m2 ). Mean age of the cohort was 49 years (range 28-75), and 50% were women. All biomarkers except renin were associated with BMI: inverse associations were observed with NT-proBNP, MR-proANP, CT-proET-1 and aldosterone whereas positive associations were observed with the remaining biomarkers (all P ≤ 0.001). During 11.3 ± 3.1 years of follow-up, 357 HF events were recorded. Only NT-proBNP, MR-proANP and cTnT remained associated with incident HF (P < 0.001), and a significant biomarker*BMI interaction was not observed (interaction P > 0.1). Combined NT-proBNP and cTnT measurements modestly improved performance metrics of the clinical HF model in overweight (ΔC-statistic = 0.024; likelihood ratio χ2 = 38; P < 0.001) and obese (ΔC-statistic = 0.020; likelihood ratio χ2 = 32; P < 0.001) individuals.ConclusionsPlasma concentrations of several cardiovascular biomarkers are influenced by obesity. Only NT-proBNP, MR-proANP and cTnT were associated with incident HF, and BMI did not modify these associations. A combination of NT-proBNP and cTnT improves HF risk prediction in overweight and obese individuals.

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Body mass index and heart failure among patients with type 2 diabetes mellitus.

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Body mass index and heart failure among patients with type 2 diabetes mellitus.

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