Development of a clinical prediction score for perioperative complications following metastatic spinal surgery (PERCOM) score

Abstract

Background: Spinal metastases can impair mobility, worsening the Karnofsky Performance Status (KPS). Surgery for spinal metastases has the potential to improve KPS and extend prognosis, but it is crucial to recognize the elevated risk of perioperative complications. Therefore, the development of a new scoring system to accurately predict perioperative complications in spinal metastatic surgery is essential. Methods: We conducted a retrospective observational study with 86 patients who underwent surgical intervention for spinal metastases. Patients were divided into two groups based on the presence or absence of perioperative complications within 14 days after surgery. Various factors related to perioperative complications were assessed through univariate and multivariate analyses. We established a clinical prognostic scoring system called the Perioperative Complications following Metastatic Spinal Surgery (PERCOM) score and evaluated its precision using receiver operating characteristic (ROC) analysis. Results: Five variables (age, KPS, primary prostate cancer, Albumin, and Hemoglobin) identified in the univariate analysis were assigned binary values of 0 or 1. The PERCOM score was then calculated for each patient by summing the individual points, ranging from 0 to 5. The optimal threshold determined by ROC curve analysis for the PERCOM score was 2 points, with a sensitivity of 86 % and a specificity of 56 %. Conclusions: The composite PERCOM score effectively predicted perioperative complications in spinal metastasis surgery. To further validate its precision, a prospective multicenter study is needed.

Keywords

• Spinal metastasis
• Spinal surgery
• Perioperative complication
• Prediction score