Perioperative medicine & outcomes
Computed Tomography–based Body Composition Assessment for Preoperative Cardiovascular Risk Prediction: A Prospective Cohort Study
Authors' conclusion
CT-derived body composition metrics improved prediction of postoperative cardiovascular events beyond conventional clinical predictors.
Study context
- Population
- Patients with CVD or risk factors undergoing major noncardiac surgery with preoperative abdominal computed tomography (CT) (PREVENGE-CB cohort and Nanfang extension)
- Participants
- 1,594 patients
- Exposure
- Body composition metrics added to guideline-recommended predictors vs predictors alone
- Outcome
- Composite cardiovascular events
- Follow-up
- 30 days after surgery
Methodological detailsmulticentre, external validation
- Multicentre
- External validation
Main finding
As reported in the abstract
Discrimination of primary outcome (Nanfang cohort)
ΔAUC
0.136
95% CI 0.083–0.188
Body composition model vs Revised Cardiac Risk Index
ΔAUC
0.032
95% CI −0.002 to 0.065
Body composition model vs Gupta Myocardial Infarction and Cardiac Arrest risk calculator
ΔAUC
0.035
95% CI 0.008–0.062
Body composition model vs Refitted clinical model
Observational data: associations, not effects.
Further findings
Incidence of primary outcome
- Patients with the primary outcome
- 211 (13.2%)
Associations of body composition with risk
- Larger skeletal muscle and adipose areas generally associated with lower risk; higher adipose radiodensity and lower muscle radiodensity indicated higher risk
Original publication
Computed Tomography–based Body Composition Assessment for Preoperative Cardiovascular Risk Prediction: A Prospective Cohort Study. Anesthesiology. Published 22 June 2026. doi:10.
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