What is the clinical evidence from this study?

Study design: Observational. Population: Heart failure. Intervention: Body composition indicators (e.g., BMI, waist circumference, fat mass). Primary outcome: Risk of heart failure per standard deviation increase in BMI (OR 1.48, 95% CI 1.37-1.60, p=1.24E-23).

What does this research mean for the field?

Increased body mass index, adiposity measures, and fat-free mass are causally associated with an elevated risk of heart failure. Novelty: ClaimNovelty.INCREMENTAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To evaluate whether diverse body composition indicators, including regional fat distribution and fat-free mass, exert causal effects on the risk of developing heart failure.

May 2, 2025Scientific ReportsOpen Access

The causal relationships between body composition and heart failure: A two-sample mendelian randomization study

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Key result

Higher BMI linked to ~48% greater heart failure risk per standard deviation.

OR 1.48
95% CI 1.37-1.60
P 1.24E-23

Why the study?

Do genetically predicted increases in body composition indicators increase the risk of heart failure?

Population

Genetic data from UK Biobank, GIANT, and FinnGen

Design

Other

Authors

CLChenxi LuFoshan University ZGZhuang GuoChinese Academy of Medical Sciences & Peking Union Medical College ZWZhuoran WangWashington University in St. Louis

Discussion

Member takes

Implication

Genetically predicted increases in various body composition indicators, including BMI, waist circumference, and fat mass, are causally associated with an increased risk of heart failure.

Key Points

To evaluate whether diverse body composition indicators, including regional fat distribution and fat-free mass, exert causal effects on the risk of developing heart failure.
Conducted a two-sample Mendelian randomization study utilizing genome-wide significant single nucleotide polymorphisms associated with body composition traits from UK Biobank, GIANT, and FinnGen consortia.
Estimated causal effects using inverse variance weighted (IVW), IVW with multiplicative random effects, MR-PRESSO, maximum likelihood methods, and leave-one-out sensitivity analyses.
Genetically predicted general adiposity increased heart failure risk per standard deviation increment in BMI (OR = 1.48; 95% CI: 1.37–1.60; P = 1.24E-23), waist circumference (OR = 1.60; 95% CI: 1.45–1.77; P = 1.72E-20), and waist-to-hip ratio (OR = 1.25; 95% CI: 1.01–1.54; P = 0.037).
Regional fat depots significantly increased heart failure risk, including right arm fat (OR = 1.42; P = 6.60E-17), right leg fat (OR = 1.57; P = 5.80E-18), trunk fat (OR = 1.31; P = 3.02E-11), and whole-body fat mass (OR = 1.34; P = 2.24E-12).
Fat-free mass was also positively associated with heart failure risk for whole-body measurements (OR = 1.34; P = 4.77E-10) as well as regional arm, leg, and trunk measures.

Study Design

Type

Observational

Multicenter

Yes

Structured PICO

Do genetically predicted increases in body composition indicators increase the risk of heart failure?

Population

Genetic data from UK Biobank, GIANT, and FinnGen

Exposure

Genetically predicted increases in body composition indicators (BMI, waist circumference, waist-to-hip ratio, fat mass, fat-free mass)

Outcome

Risk of heart failurehard clinical

Main Result

Odds Ratio: 1.48 (95% CI 1.37–1.6)

p-value: p=1.24E-23

Genetically predicted increases in various body composition indicators, including BMI, waist circumference, and fat mass, are causally associated with an increased risk of heart failure.

Cite This Study

Lu et al. (2025) conducted an observational in Heart failure. Body composition indicators (e.g., BMI, waist circumference, fat mass) was evaluated on Risk of heart failure per standard deviation increase in BMI (OR 1.48, 95% CI 1.37-1.60, p=1.24E-23). Each standard deviation increase in body mass index was significantly associated with increased heart failure risk (OR 1.48; 95% CI 1.37-1.60; P=1.24E-23), alongside other body composition metrics.

synapsesocial.com/papers/6a8126afda9cafc35e338ea1 https://doi.org/10.1038/s41598-025-00406-7

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Implication

Genetically predicted increases in various body composition indicators, including BMI, waist circumference, and fat mass, are causally associated with an increased risk of heart failure.

The causal relationships between body composition and heart failure: A two-sample mendelian randomization study

Discussion

Member takes

Implication

Key Points

Study Design

Structured PICO

Main Result

Cite This Study

The causal relationships between body composition and heart failure: A two-sample mendelian randomization study

Discussion

Member takes

Implication

Key Points

Study Design

Structured PICO

Main Result

Cite This Study

Also Consider

Also Consider