As the prevalence of spinal metastasis rises, methods to predict survival will become increasingly important for clinical decision-making. Sarcopenia may be used to predict survival in these patients.
The purpose of this study to develop a prediction model incorporating sarcopenia for postoperative survival in patients with spinal metastasis.
Retrospective cohort study
This included 200 patients who underwent operative intervention for spinal metastasis in our institution, a tertiary, academic spine center.
The primary outcome measure was 1-year postoperative survival. The secondary outcome measures were 3 month and 6 month postoperative survival.
Clinicopathological and survivorship data was collated. Sarcopenia was defined using the L3 Psoas/Vertebral Body Ratio on cross-sectional CT. Independent predictors of postoperative survival were assessed by multiple logistic regression.
Overall 1-year postoperative survival was 50%. L3/Psoas ratio ≥1.5 (OR 6.2), albumin ≥35g/l (OR 3.0) and primary tumor type were found to be independent predictors of 3 month, 6 month and 1 year postoperative survival on multivariable analysis. Age at surgery, ambulatory status and mode of presentation were not independent predictors of survival. Variables were used to generate a new scoring system, ProgMets, to predict postoperative survival. The ProgMets system had greater correlation and higher area under the curve (AUC, 0.80) for 1-year survival than other scoring systems.
This is the first model to incorporate sarcopenia to predict survival in spinal metastasis patients and has good prediction of survival compared to previous models. This tool may be increasingly useful for informed decision making for patients and surgeons.
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Published online: April 26, 2023
Accepted: April 18, 2023
Received in revised form: March 2, 2023
Received: November 20, 2022
Publication stageIn Press Journal Pre-Proof
FDA device/drug status: Not applicable.
Author disclosures: FJM: Nothing to disclose. JPM: Nothing to disclose. OM: Consulting: Stryker (C); NuVasive (C); Medtronic (A).
© 2023 Elsevier Inc. All rights reserved.