Psoas muscle analysis as a surrogate marker of sarcopenia and frailty: A multicenter analysis of predictive capacities over short- and long-term outcomes after abdominal aortic aneurysm repair

Author:

Vázquez Pérez Rocío1ORCID,Álvarez Marcos Francisco2,Tello Díaz Cristina3,Bellmunt Montoya Sergi4,Fernández-Samos Gutiérrez Rafael5,Gil Sala Daniel6

Affiliation:

1. Angiology and Vascular Surgery Department, Hospital Universitario de Canarias, La Laguna, Spain

2. Angiology and Vascular Surgery Department, Hospital Universitario Central de Asturias (HUCA), Oviedo, Spain

3. Angiology and Vascular Surgery Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain

4. Angiology and Vascular Surgery Department, Hospital Universitari Vall d’Hebron, Barcelona, Spain

5. Angiology and Vascular Surgery Department, Complejo Asistencial Universitario de León, León, Spain

6. Angiology and Vascular Surgery Department, Hospital Clínic de Barcelona, Barcelona, Spain

Abstract

Objectives Several predictive models exist for estimating the postoperative risks of abdominal aortic aneurysm (AAA) repair, although no particular tool has seen widespread use. We present the results of a multicenter, historic cohort study comparing the predictive capacity of the psoas muscle area (PMA), radiodensity (PMD), and lean muscle area (LMA) as surrogate markers of sarcopenia, over short- and long-term outcomes after AAA repair, compared to the mFI-5 and American Society of Anesthesiologists (ASA) scales. Methods Retrospective review was conducted of all consecutive AAA elective repair cases (open or endovascular) in three tertiary-care centers from 2014 to 2019. Cross-sectional PMA, PMD, and LMA at the mid-body of the L3 vertebra were measured by two independent operators in the preoperative computed tomography. Receiver operating characteristic (ROC) curves were used to determine optimal cutoff values. Bivariate analysis, logistic regression, and Cox’s proportional hazards models were built to examine the relationship between baseline variables and postoperative mortality, long-term mortality, and complications. Results 596 patients were included (mean age 72.7 ± 8 years, 95.1% male, 66.9% EVAR). Perioperative mortality was 2.3% (EVAR 1.2% vs open repair 4.6%, p = .015), and no independent predictors could be identified in the multivariate analysis. Conversely, an age over 74 years old (OR 1.84 95%CI 1.25–2.70), previous heart diseases (OR 1.62 95%CI 1.13–2.32), diabetes mellitus (OR 1.61 95%CI 1.13–2.32), and a PMD value over 66 HU (OR 0.58 95%CI 0.39–0.84) acted as independent predictors of long-term mortality in the Cox’s proportional hazards model. Heart diseases (congestive heart failure or coronary artery disease), serum creatinine levels over 1.05 mg/dL, and an aneurysm diameter over 60 mm were independent predictors of major complications. Conclusion Surrogate markers of sarcopenia had a poor predictive profile for postoperative mortality after AAA repair in our sample. However, PMD stood out as an independent predictor of long-term mortality. This finding can guide future research and should be confirmed in larger datasets.

Publisher

SAGE Publications

Subject

Cardiology and Cardiovascular Medicine,Radiology, Nuclear Medicine and imaging,General Medicine,Surgery

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