Key result
In adults with type 2 diabetes, the highest quartile of body mass index variability was associated with a significantly higher risk of incident heart failure compared to the lowest quartile (HR 3.61).
Why the study?
It remained unclear how the variability of adiposity indices relates to incident HF in individuals with type 2 diabetes.
Does greater variability of adiposity indices increase the risk of incident heart failure in overweight or obese adults with type 2 diabetes?
Cohort (n=4,073)
Yes
Does greater variability of adiposity indices increase the risk of incident heart failure in overweight or obese adults with type 2 diabetes?
Effect estimate: HR 3.61 (95% CI 1.91-6.80)
Absolute Event Rate: 5.2% vs 3%
p-value: p=<0.001
In overweight or obese adults with type 2 diabetes, greater variability in body mass index, waist circumference, and body weight is independently associated with a significantly higher risk of incident heart failure.
Greater BMI variability signals higher heart failure risk but should not yet change practice; leaves open whether stabilizing weight reduces incidence in type 2 diabetes.
BACKGROUND: It remains unclear how the variability of adiposity indices relates to incident HF. This study evaluated the associations of the variability in several adiposity indices with incident heart failure (HF) in individuals with type 2 diabetes (T2DM). METHODS: We included 4073 participants from the Look AHEAD (Action for Health in Diabetes) study. We assessed variability of body mass index (BMI), waist circumference (WC), and body weight across four annual visits using three variability metrics, the variability independent of the mean (VIM), coefficient of variation (CV), and intraindividual standard deviation (SD). Multivariable Cox regression models were used to generate adjusted hazard ratios (aHR) and 95% confidence intervals (CI) for incident HF. RESULTS: Over a median of 6.7 years, 120 participants developed incident HF. After adjusting for relevant confounders including baseline adiposity levels, the aHR for the highest (Q4) versus lowest quartile (Q1) of VIM of BMI was 3.61 (95% CI 1.91-6.80). The corresponding aHRs for CV and SD of BMI were 2.48 (95% CI 1.36-4.53) and 2.88 (1.52-5.46), respectively. Regarding WC variability, the equivalent aHRs were 1.90 (95% CI 1.11-3.26), 1.79 (95% CI 1.07-3.01), and 1.73 (1.01-2.95) for Q4 versus Q1 of VIM, CV and SD of WC, respectively. CONCLUSIONS: In a large sample of adults with T2DM, a greater variability of adiposity indices was associated with higher risks of incident HF, independently of traditional risk factors and baseline adiposity levels. Registration-URL: https://clinicaltrials.gov/ct2/show/NCT00000620 .
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Kazé et al. (2022) conducted a cohort in Type 2 diabetes (n=4,073). Highest quartile (Q4) of BMI variability (VIM) vs. Lowest quartile (Q1) of BMI variability (VIM) was evaluated on Incident heart failure (HR 3.61, 95% CI 1.91-6.80, p=<0.001). In adults with type 2 diabetes, the highest quartile of body mass index variability was associated with a significantly higher risk of incident heart failure compared to the lowest quartile (HR 3.61).
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