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Author Spotlight: Unveiling Prognostic Indicators in Heart Failure - The Role of Phase Angle and Bioelectrical Impedance Analysis
Published on: June 30, 2023
High Variability of Body Mass Index Is Independently Associated With Incident Heart Failure
Chang Liu1, Yiyun Chiang1, Qin Hui1
1Department of Epidemiology Emory University Rollins School of Public Health Atlanta GA.
Insights
Fluctuating body mass index (BMI) significantly increases the risk of developing heart failure (HF). Tracking BMI changes over time is crucial for predicting HF incidence in individuals.
Area of Science:
- Cardiology
- Public Health
- Obesity Research
Background:
- Heart failure (HF) is a growing public health concern with high morbidity and mortality.
- Obesity is a known risk factor for HF, and recent evidence suggests BMI fluctuations may also elevate cardiovascular risk.
Purpose of the Study:
- To investigate the association between body mass index (BMI) variability and the incidence of heart failure (HF).
Main Methods:
- A prospective cohort study of 99,368 White participants from the UK Biobank was established.
- Within-participant BMI variability was assessed using standardized deviation and coefficient of variation over a median follow-up of 12.5 years.
- A competing risk model (Fine and Gray) was used to analyze the association between BMI variability and incident HF, adjusting for confounders.
Main Results:
- Higher BMI variability, measured by both SD and coefficient of variation, was significantly associated with an increased risk of HF incidence.
- The hazard ratio for HF incidence increased with higher BMI variability (SD: HR 1.05, 95% CI 1.03-1.08; CV: HR 1.07, 95% CI 1.04-1.10).
Conclusions:
- Longitudinal health records effectively capture BMI fluctuations.
- BMI fluctuation independently predicts the incidence of heart failure (HF).
Background:
Heart failure (HF) is a serious condition with increasing prevalence, high morbidity, and increased mortality. Obesity is an established risk factor for HF. Fluctuation in body mass index (BMI) has shown a higher risk of cardiovascular outcomes. We investigated the association between BMI variability and incident HF.
Methods And Results:
In the UK Biobank, we established a prospective cohort after excluding participants with prevalent HF or cancer at enrollment. A total of 99 368 White participants with ≥3 BMI measures during >2 years preceding enrollment were included, with a median follow-up of 12.5 years. The within-participant variability of BMI was evaluated using standardized SD and coefficient of variation. The association of BMI variability with incident HF was assessed using Fine and Gray's competing risk model, adjusting for confounding factors and participant-specific rate of BMI change. Higher BMI variability measured in both SD and coefficient of variation was significantly associated with higher risk in HF incidence (SD: hazard ratio [HR], 1.05 [95% CI, 1.03-1.08], P<0.0001; coefficient of variation: HR, 1.07 [95% CI, 1.04-1.10], P<0.0001).
Conclusions:
Longitudinal health records capture BMI fluctuation, which independently predicts HF incidence.
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