Key result
Higher intra-individual BMI variability was significantly associated with an increased risk of developing both HFpEF (HR 1.10 per 1-SD increment) and HFrEF (HR 1.09 per 1-SD increment) in overweight and obese patients.
Why the study?
The differential impact of BMI and long-term intra-individual BMI variability on the risk of developing HFpEF versus HFrEF in overweight or obese patients was not established.
Does increased intra-individual BMI variability increase the risk of incident HFpEF and HFrEF in overweight or obese patients?
Cohort (n=51,444)
Does increased intra-individual BMI variability increase the risk of incident HFpEF and HFrEF in overweight or obese patients?
Hazard Ratio: 1.1 (95% CI 1.04–1.16)
In overweight and obese patients, greater intra-individual BMI variability is significantly associated with an increased risk of developing both HFpEF and HFrEF, highlighting the importance of minimizing weight fluctuations.
BMI variability may flag higher HF risk in obesity; hypothesis-generating and requires prospective trials before practice change.
Objective The aim of this study is to evaluate the differential impact of BMI and long-term intra-individual BMI variability on the risk of developing heart failure with preserved ejection fraction (HFpEF) and heart failure with reduced ejection fraction (HFrEF)in overweight or obese patients. Method The primary outcome was the time to incident HFrEF or HFpEF determined by International Classification of Disease codes (ICD-9 and ICD-10). BMI variability was assessed based on five-year BMI measurements using four metrics: the intra-individual standard deviation (SD), the coefficient of variation (CV), the variability independent of the mean (VIM), and the average successive variability (ASV). The subclassification of HF was based on the LVEF recorded within 90 days of the initial diagnosis. The hazard ratios (HRs) were estimated by multivariable-adjusted Cox proportional hazards regression models. Results Among the 51,444 eligible patients, 1,871 developed HFpEF, and 1,018 developed HFrEF over a follow-up period of the mean of 4.62 years. Per each 1-SD increment, the HRs of SD, CV, VIM and ASV of BMI were 1.10 (95%CI, 1.04-1.16), 1.04 (95%CI, 1.02-1.06), 1.16 (95%CI, 1.06-1.27) and 1.13 (95%CI, 1.04-1.22) for HFpEF, and 1.09 (95%CI, 1.00-1.18), 1.03 (95%CI, 1.00-1.06), 1.15 (95% CI, 1.02-1.31), and 1.08 (95%CI, 0.96-1.21), for HFrEF, respectively. Five statistical models were performed adjusting for different sets of covariates. Moreover, baseline BMI from patients in obesity II and III all exhibited progressively higher HRs for HFpEF with HRs of 1.45 (95%CI, 1.15-1.83), and 2.52 (95%CI, 1.99-3.19), while only patients in obesity class III demonstrated an increased risk for HFrEF with HR of 1.50 (95%CI, 1.11-2.04). Conclusions and Relevance In this large cohort of overweight and obese patients, increasing BMI variability was associated with a higher risk of developing HFpEF and HFrEF after adjusting for relevant risk factors. Study Importance What is already known: The variability of body mass index (BMI) is a risk factor for negative cardiovascular outcomes in various cohorts. A previous study showed that variability in adiposity indices is related to an increased risk of overall heart failure (HF) in patients with type two diabetes. What are the new findings in your manuscript: ur analysis examined the differential association between intra-individual BMI variability derived and the increased incidence of two subtypes of (HF), heart failure with preserved ejection fraction (HFpEF) and heart failure with reduced ejection fraction (HFrEF), using real-world clinical patient data. associations were statistically significant across three different metrics, including standard deviation, coefficient of variation, and the variability independent of the mean. might your results change the direction of research or the focus of clinical practice? is important for clinicians to minimize body weight fluctuation in patients with overweight and obesity to meet weight loss goals due to its potential to reduce the risk of HF, especially given the increasing global prevalence of HFpEF and limited therapeutical options for it. study also provides evidence of the feasibility and reliability of using electronic medical data collected from various clinical settings to define indicators for clinical decision-making
No takes yet. Share an insight, caveat, or question.
Yu et al. (2023) conducted a cohort in Overweight and obesity (n=51,444). Body Mass Index (BMI) variability vs. Lower BMI variability was evaluated on Incident heart failure with preserved ejection fraction (HFpEF) per 1-SD increment in BMI standard deviation (HR 1.10, 95% CI 1.04-1.16). Higher intra-individual BMI variability was significantly associated with an increased risk of developing both HFpEF (HR 1.10 per 1-SD increment) and HFrEF (HR 1.09 per 1-SD increment) in overweight and obese patients.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: