Objective: The objective of the study was to develop a better model of prediction after EVAR using the psoas muscle index (PMI).
Summary Background Data: The Glasgow Aneurysm Score (GAS), the modified Leiden Score (mLS), the Comorbidity Severity Score (CSS), and the Euro Score (ES) are known prognostic scoring after EVAR. Similarly, sarcopenia measured by PMI has been reported to be an important predictor. This study investigated a new scoring system using PMI predicting short and midterm overall mortality after EVAR.
Methods: Three hundred ten patients were retrospectively evaluated. The primary endpoint was all-cause death. One hundred three patients were assigned to the derivation cohort and 207 patients to the validation cohort.
Results: The all-cause mortality rates were 8.8% at 1 year, 23.5% at 3 years, and 32.8% at 5 years. In a multivariate analysis, age, aneurysm diameter, eGFR, and PMI were associated with all-cause mortality in the derivation cohort. The SAS system was defined as the sum of the following factors: elderly (75 years), large aneurysm (65 mm), low eGFR (30 mL/min/1.73m 2 ), and low PMI (males: 48.2 cm 2 /m 2 , females: 36.8 cm 2 /m 2 ). We compared the SAS with the other prognostic scoring for 5-year mortality evaluating the area under the receiver operating characteristic curves in the validation cohort (GAS: 0.731, mLS: 0. 718, CSS: 0. 646, ES: 0.661, and SAS: 0.785, P = 0.013).
Conclusion: We developed the SAS to predict all-cause mortality after elective EVAR and this scoring showed excellent predictive performance.
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