Key result
High CT-derived body composition fitness score linked to ~30% lower cardiovascular death risk.
Why the study?
Exercise capacity strongly predicts cardiovascular risk, and body composition analysis could potentially estimate cardiorespiratory fitness in patients unable to exercise.
Does a CT-derived body composition fitness score predict good exercise capacity and mortality in patients undergoing myocardial perfusion imaging?
Cohort (n=36,471)
Yes
Does a CT-derived body composition fitness score predict good exercise capacity and mortality in patients undergoing myocardial perfusion imaging?
A novel CT-derived body composition fitness score can act as a surrogate marker for cardiorespiratory fitness and independently predict mortality risk in patients unable to perform exercise stress testing.
CT-derived fitness score associated with lower CV death in MPI patients; leaves open prospective validation before clinical use.
Aims Exercise capacity is a powerful predictor of cardiovascular risk. In patients unable to exercise, body composition analysis can potentially be used to estimate cardiorespiratory fitness. We developed a body composition “fitness” score, then validated its utility in two external populations. Methods and Results We included patients from four sites undergoing single photon emission computed tomography (SPECT) and twelve sites undergoing positron emission tomography (PET). We quantified body composition using deep learning. We evaluated associations between body composition and good exercise capacity (defined as completing ≥7 minutes on a Bruce protocol) then developed a body composition “fitness” score. We then assessed the associations of “fitness” score with exercise capacity and all-cause mortality in external populations. In total, 36471 patients were included with median age 67 (interquartile range 58 – 74). Median skeletal muscle density was higher among patients with good exercise capacity. In the external SPECT population, the body composition “fitness” score had higher prediction performance for good exercise capacity (AUC 0.771, 95% CI 0.752 – 0.789) than age (AUC 0.717, p<0.01). In the external PET population, high body composition “fitness” score was associated with lower cardiovascular death (adjusted hazard ratio 0.70, 95% CI 0.62 – 0.79, p<0.001). Conclusions We demonstrated that a comprehensive body composition “fitness” score could identify patients with good cardiorespiratory fitness. This approach transforms routinely acquired CT data into a surrogate marker of fitness which can be applied in patients undergoing PET, or other CT imaging, where exercise testing is not performed. Graphical Abstract Overview of study design. The overall population (n=36471) was split as outlined above. Body composition was analyzed from available computed tomography imaging. The distribution of body composition measures were analyzed in the combined single photon emission computed tomography (SPECT) populations. A body composition “fitness” score was derived to predict good exercise capacity in the internal population, with associations assessed in the two external testing populations.
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Miller et al. (2026) conducted a cohort in Patients undergoing myocardial perfusion imaging (n=36,471). High body composition fitness score vs. Low body composition fitness score was evaluated on Cardiovascular death (adjusted HR 0.70, 95% CI 0.62-0.79, p=<0.001). A high body composition 'fitness' score derived from CT was significantly associated with a lower risk of cardiovascular death compared to lower scores (adjusted HR 0.70, 95% CI 0.62-0.79, p<0.001).
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