Radiological Features for Frailty Assessment in Patients Requiring Emergency Laparotomy

Overview

Journal J Clin Med

Specialty General Medicine

Date 2022 Sep 23

PMID 36143012

Authors

Katarzyna Kolodziejska

Jan Witowski

Piotr Tylec

Anna Grochowska

Natalia Przytula

Maciej Lis

Michal Pedziwiatr

Mateusz Rubinkiewicz

Affiliations

Soon will be listed here.

Abstract

Introduction: As the number of elderly patients requiring surgical intervention rises, it is believed that frailty syndrome has a greater impact on perioperative course than on chronological age. The aim of this study was to evaluate the efficacy of various imaging features for frailty assessment in patients undergoing emergency laparotomy.

Methods: The study included all patients that qualified for emergency surgery with preoperative CT scans between 2016 and 2020 in the Second Department of General Surgery. Multiple trauma patients were excluded from the analysis. The modified frailty index and brief geriatric assessment were used in the analysis. CT images were reviewed for the assessment of osteopenia, sarcopenia, sarcopenic obesity, renal volume and abdominal aorta calcification rate.

Results: A total of 261 patients were included in the analysis. Multivariate logistic regression identified every next ASA class (OR: 4.161, 95%CI: 1.672-10.355, = 0.002), intraoperative adverse events (OR: 12.397, 95%CI: 2.166-70.969, = 0.005) and osteopenia (OR: 4.213, 95%CI: 1.235-14.367, = 0.022) as a risk factor for 30-day mortality. Our study showed that every next ASA class (OR: 1.952, 95%Cl: 1.171-3.256, = 0.010) and every point of the BGA score (OR: 1.496, 95%Cl: 1.110-2.016, = 0.008) are risk factors for major complications.

Conclusions: Osteopenia was the best parameter for perioperative mortality risk stratification in patients undergoing emergency surgical intervention. Sarcopenia (measured as psoas muscle area), sarcopenic obesity, aortic calcifications and mean kidney volume do not predict poor outcomes in those patients. None of the radiological markers appeared to be useful for the prediction of perioperative morbidity.

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