Literature DB >> 30511131

Timed Stair-Climbing as a Surrogate Marker for Sarcopenia Measurements in Predicting Surgical Outcomes.

Samantha Baker1, Mary Glen Waldrop1, Joshua Swords1, Thomas Wang1, Martin Heslin1, Carlo Contreras1, Sushanth Reddy2.   

Abstract

BACKGROUND: Estimating sarcopenia by measuring psoas muscle density (PMD) has been advocated as a method to accurately predict post-operative morbidity. The aim of the present study was to determine whether the Timed Stair Climb (TSC) could be used to replace PMD measurements in predicting morbidity.
METHODS: Patients were prospectively enrolled from March 2014-2015 and were eligible if they were undergoing an abdominal operation. PMD was measured using pre-operative CT scans obtained within 90 days of surgery. Ninety-day complications were assessed using the Accordion Severity Grading System. Multivariable analysis was performed to identify risk factors associated with operative morbidity.
RESULTS: Of the patients, 298 were enrolled and completed TSC prior to undergoing an operation. Using the According Grading System, a grade 2 or higher complication occurred in 72 (24. 2%) patients with 8 (2.7%) deaths. There was an indirect relationship between PMD and TSC (P < 0.0001) and a direct relationship between TSC and complications (P = 0.04). On multivariable analysis decreasing PMD (P = 0.018) and increasing TSC (P = 0.026) were predictive of post-operative morbidity. Receiver operating characteristic curves demonstrated that the TSC was superior to both the ACS NSQIP Risk Calculator and PMD in predicting outcomes (TSC vs. PMD, P = 0.012; PMD vs. ACS NSQIP, P = 0.013; TSC vs. ACS NSQIP, P < 0.0001).
CONCLUSION: TSC, PMD, and the ACS NSQIP calculator are all useful tools; however, the TSC is superior in predicting post-operative morbidity.

Entities:  

Keywords:  Abdominal surgery; Functional outcome; Sarcopenia; Surgical risk

Mesh:

Year:  2018        PMID: 30511131     DOI: 10.1007/s11605-018-4042-0

Source DB:  PubMed          Journal:  J Gastrointest Surg        ISSN: 1091-255X            Impact factor:   3.452


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