Key result
Extreme BMI tertiles linked to up to ~490% higher readmission and infection after heart transplant.
Why the study?
Data supporting BMI listing cutoffs for heart transplant are mixed, and it was unclear whether more specific CT-derived body composition measurements better predict post-transplant outcomes.
Do alternative measures of body composition or BMI predict 1-year clinical outcomes in patients following heart transplant?
Cohort (n=104)
Do alternative measures of body composition or BMI predict 1-year clinical outcomes in patients following heart transplant?
Odds Ratio: 3.4 (95% CI 1.1–11.4)
p-value: p=0.01
While alternative CT-derived body composition metrics did not predict 1-year post-heart transplant outcomes, extremes of BMI (highest and lowest tertiles) were significantly associated with increased risks of hospital readmission and infection.
Extreme BMI may warrant closer post-HT monitoring; challenges superiority of CT body composition metrics over BMI.
Current guidelines for heart transplant (HT) listing support body mass index (BMI) < 35 kg/m 2 , though data supporting this recommendation is mixed. It is unclear if other more specific measurements of body composition are better predictors of outcomes post‐HT. This retrospective study included patients who underwent HT between 2014 and 2019 and underwent an abdominal CT scan within 3 months of HT. Tissue characterization was performed using Slice‐O‐Matic software to derive measurements including BMI, fat mass index (FMI), visceral adipose tissue to subcutaneous adipose tissue ratio (VAT/SAT), fat free mass index (FFMI), and skeletal muscle index (SMI). Univariate and multivariate logistic regression analyses were used to investigate association of body composition variables by tertiles to 1 year mortality, readmission, primary graft dysfunction, length of stay, infection, and renal failure. Of the 104 patients, 80% were male and 56% were Caucasian. Highest and lowest BMI tertiles were significantly associated with an increased risk of hospital readmission within 1 year post HT (OR 3.4, [95%CI 1.1–11.4]; OR 5.9, [95% CI 1.7–25.1]; p = 0.01) as well as an increased risk of infections requiring hospitalization (OR 3.2, [95% CI 1.2–9.0]; OR 3.9, [95%CI 1.4–11.7]; p = 0.02). FMI, VAT/SAT, FFMI, and SMI were not associated with outcomes 1‐year post‐HT. Highest and lowest BMI tertiles were associated with increased rates of hospital readmission and infection in the first‐year post HT, while other measurements of body composition were not associated with any poor outcomes post‐HT. Although BMI does not predict mortality post‐HT, it can differentiate risk better than all other metrics.
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Lanier et al. (2026) conducted a cohort in Heart transplant (n=104). Highest and lowest BMI tertiles was evaluated on Hospital readmission within 1 year post HT (OR 3.4, 95% CI 1.1-11.4, p=0.01). Highest and lowest BMI tertiles were associated with increased risk of 1-year hospital readmission (OR 3.4, 95% CI 1.1-11.4 and OR 5.9, 95% CI 1.7-25.1; p=0.01) following heart transplant.
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