Hajibandeh S; Several departments, University Hospital of Wales, Cardiff, UK.
Gilham I; Tam W; Kirby E; Babs-Osibodu AO; Jones W; Rose GA; Bailey DM; .Morris C; Hargest R; Clayton A; Davies RG;
The surgeon : journal of the Royal Colleges of Surgeons of Edinburgh and Ireland [Surgeon] 2024 Apr 22.
Date of Electronic Publication: 2024 Apr 22.
Objectives: To evaluate whether computed tomography (CT)-derived psoas major muscle measurements could predict preoperative cardiopulmonary exercise testing (CPET) performance and long-term mortality in patients undergoing major colorectal surgery and to compare predictive performance of psoas muscle measurements using 2D approach and 3D approach.
Methods: A retrospective cohort study compliant with STROCSS standards was conducted. Consecutive patients undergoing major colorectal surgery between January 2011 and January 2017 following CPET as part of their preoperative assessment were included. Regression analyses were modelled to investigate association between the CT-derived psoas major muscle mass variables [total psoas muscle area (TPMA), total psoas muscle volume (TPMV) and psoas muscle index (PMI)] and CPET performance and mortality (1-year and 5-year). Discriminative performances of the variables were evaluated using Receiver Operating Characteristic (ROC) curve analysis.
Results: A total of 457 eligible patients were included. The median TPMA and TPMV were 21 cm 2 (IQR: 15-27) and 274 cm 3 (IQR: 201-362), respectively. The median PMI measured via 2D and 3D approaches were 7 cm 2 /m 2 (IQR: 6-9) and 99 cm 3 /m 2 (IQR: 76-120), respectively. The risks of 1-year and 5-year mortality were 7.4% and 27.1%, respectively. Regression analyses showed TPMA, TPMV, and PMI can predict preoperative CPET performance and long-term mortality. However, ROC curve analyses showed no significant difference in predictive performance amongst TPMA, TPMV, and PMI.
Conclusion: Radiologically-measured psoas muscle mass variables may predict preoperative CPET performance and may be helpful with informing more objective selection of patients for preoperative CPET and prehabilitation.
Competing Interests: Declaration of competing interest Damian M. Bailey is Editor-in-Chief of Experimental Physiology, Chair of the Life Sciences Working Group, a member of the Human Spaceflight and Exploration Science Advisory Committee to the European Space Agency, a member of the Space Exploration Advisory Committee to the UK Space Agency, and a member of the National Cardiovascular Network for Wales and South East Wales Vascular Network. Damian M. Bailey is also affiliated to the companies FloTBI Inc. and Bexorg Inc., focused on the technological development of novel biomarkers of brain injury in humans. All other authors declare no conflict of interest.