Psoas muscle area is an independent survival prognosticator in patients undergoing surgery for long‐bone metastases

Author:

Lee Chia‐Che12,Tseng Ting‐En2,Chang Ruey‐Feng1,Yen Hung‐Kuan234,Chen Yu‐An5,Chen Yu‐Yung5,Wu Chih‐Horng6,Hu Ming‐Hsiao2ORCID,Yen Mao‐Hsu7,Bongers Michiel8ORCID,Groot Olivier Q.89,Lai Cheng‐Yo3,Lin Wei‐Hsin2ORCID

Affiliation:

1. Graduate Institute of Biomedical Electronics and Bioinformatics National Taiwan University Taipei Taiwan

2. Department of Orthopaedic Surgery National Taiwan University Hospital Taipei Taiwan

3. Department of Orthopaedic Surgery National Taiwan University Hospital Hsinchu Taiwan

4. Department of Medical Education National Taiwan University Hospital Hsinchu Taiwan

5. Department of Medical Education National Taiwan University Hospital Taipei Taiwan

6. Department of Medical Imaging National Taiwan University Hospital Taipei Taiwan

7. Department of Computer Science and Engineering National Taiwan Ocean University Keelung Taiwan

8. Department of Orthopaedic Surgery Massachusetts General Hospital Boston Massachusetts USA

9. Department of Orthopaedics University Medical Center Utrecht Utrecht The Netherlands

Abstract

AbstractBackgroundPredictive analytics is gaining popularity as an aid to treatment planning for patients with bone metastases, whose expected survival should be considered. Decreased psoas muscle area (PMA), a morphometric indicator of suboptimal nutritional status, has been associated with mortality in various cancers, but never been integrated into current survival prediction algorithms (SPA) for patients with skeletal metastases. This study investigates whether decreased PMA predicts worse survival in patients with extremity metastases and whether incorporating PMA into three modern SPAs (PATHFx, SORG‐NG, and SORG‐MLA) improves their performance.MethodsOne hundred eighty‐five patients surgically treated for long‐bone metastases between 2014 and 2019 were divided into three PMA tertiles (small, medium, and large) based on their psoas size on CT. Kaplan–Meier, multivariable regression, and Cox proportional hazards analyses were employed to compare survival between tertiles and examine factors associated with mortality. Logistic regression analysis was used to assess whether incorporating adjusted PMA values enhanced the three SPAs' discriminatory abilities. The clinical utility of incorporating PMA into these SPAs was evaluated by decision curve analysis (DCA).ResultsPatients with small PMA had worse 90‐day and 1‐year survival after surgery (log‐rank test p < 0.001). Patients in the large PMA group had a higher chance of surviving 90 days (odds ratio, OR, 3.72, p = 0.02) and 1 year than those in the small PMA group (OR 3.28, p = 0.004). All three SPAs had increased AUC after incorporation of adjusted PMA. DCA indicated increased net benefits at threshold probabilities >0.5 after the addition of adjusted PMA to these SPAs.ConclusionsDecreased PMA on CT is associated with worse survival in surgically treated patients with extremity metastases, even after controlling for three contemporary SPAs. Physicians should consider the additional prognostic value of PMA on survival in patients undergoing consideration for operative management due to extremity metastases.

Publisher

Wiley

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