Work

Psoas muscle index as a novel measure of frailty and predictor of post-operative outcome in octogenarians with non-small cell lung cancer

Year: 2025
Type: article
Study design: Observational Study
Abstract: Background: High body mass index (BMI) is a prevalent risk factor in a growing octogenarian population undergoing curative surgery for non-small cell lung cancer (NSCLC). Whilst BMI is paradoxically protective, its correlation with clinical frailty or objective fitness is unclear, due to the discrepancy of the ratio between muscle and adipose tissue. We aim to assess the relationship between sarcopenia and post operative survival and complications. Methods: Demographic and clinical outcome data from octogenarians undergoing resections for primary NSCLC (January 2016-December 2021) was analysed retrospectively. Routine pre-operative positron emission tomography-computed tomography (PET-CT) scan was used to derive psoas muscle index (PMI) (bilateral measurement of cross-sectional psoas muscle area at the level of L3, divided by height-squared) as a measure of sarcopenia. Results: . 2.7 years in males and females, respectively (P<0.001). The 5-year DFS was not affected by PMI or BMI in males nor females; 11.1% of patients had major postoperative complications, predicted by squamous cell carcinoma (P=0.03) and stage >Ia (P<0.01). Lower BMI ranges had proportionally more major complications in males (P<0.001), however the opposite was true for females. Mean hospital stay was 4 days longer in males, and doubled with higher BMI [12 days (range, 8-12 days); P=0.76]. BMI and PMI correlated positively in both males (r=0.36, P<0.001), and females (r=0.32, P=0.002). Conclusions: Radiologically derived PMI is an easily replicable marker which may be a useful adjunct to BMI in identifying high-risk octogenarians in whom prehabilitation may achieve superior outcomes post-surgery for NSCLC. Additionally, the method we describe avoids additional imaging to derive these measurements and can be safely incorporated into pre-operative imaging protocols.
Authors: Hiral Jhala, Mathew Thomas, Leanne Ashrafian
Language: English
Subfield: Physiology
Field: Medicine
Open Access status: diamond
OpenAlex ID: W4407896809
FWCI: 0.548
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Cited by: 1
Related to: 10