Predicting 30-day mortality after surgery for metastatic disease of the spine: the H2-FAILS score.

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Scoring systems for metastatic spine disease focus on predicting long- to medium-term mortality or a combination of perioperative morbidity and mortality. However, accurate prediction of perioperative mortality alone may be the most important factor when considering surgical intervention. We aimed to develop and evaluate a new tool, the H2-FAILS score, to predict 30-day mortality after surgery for metastatic spine disease. Using the National Surgical Quality Improvement Program database, we identified 1195 adults who underwent surgery for metastatic spine disease from 2010 to 2018. Incidence of 30-day mortality was 8.7% (n = 104). Independent predictors of 30-day mortality were used to derive the H2-FAILS score. H2-FAILS is an acronym for: Heart failure (2 points), Functional dependence, Albumin deficiency, International normalized ratio elevation, Leukocytosis, and Smoking (1 point each). Discrimination was assessed using area under the receiver operating characteristic curve (AUC). The H2-FAILS score was compared with the American Society of Anesthesiologists Physical Status Classification (ASA Class), the 5-item modified Frailty Index (mFI-5), and the New England Spinal Metastasis Score (NESMS). Internal validation was performed using bootstrapping. Alpha = 0.05. Predicted 30-day mortality was 1.8% for an H2-FAILS score of 0 and 78% for a score of 6. AUC of the H2-FAILS was 0.77 (95% confidence interval: 0.72-0.81), which was higher than the mFI-5 (AUC 0.58, p < 0.001), ASA Class (AUC 0.63, p < 0.001), and NESMS (AUC 0.70, p = 0.004). Internal validation showed an optimism-corrected AUC of 0.76. The H2-FAILS score accurately predicts 30-day mortality after surgery for spinal metastasis. Prognostic level III.

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INTRODUCTION Subdural hematoma (SDH) evacuation is a common neurosurgical procedure with high risk for morbidity and mortality. The purpose of this study was to develop a risk score for 30-day mortality following SDH evacuation on the basis of readily available pre-operative information. METHODS Data recorded in the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database between 2006 and 2014 were selected on the basis of ICD-9 (International Classification of Diseases, Ninth ed.) and CPT (Current Procedural Terminology) coding. Sequential univariate and multivariate analyses were used to identify significant independent predictors of 30-day mortality among 32 pre- operative factors. Multivariate regression coefficients were used to develop a weighted risk score capable of separating outcome groups with high sensitivity and specificity. RESULTS &gt;Following list-wise exclusion of patients with incomplete datasets, 1271 patients (35.6% F; median age 73.0 years, IQR 44.1-89.0 years) were examined. Sequential univariate and multivariate analysis identified seven independent predictors of 30-day mortality (OR = adjusted odds ratio): emergency case (OR 2.27), age &gt;= 65 years (OR 2.42), ventilator dependent status (OR 4.95), dialysis (OR 5.16), bleeding disorder (OR 2.37), WBC count &gt;= 10,000 mu;L-1 (OR 1.79), and platelets &lt;150,000 μL-1 (OR 2.18). Receiver operating characteristic (ROC) analysis demonstrated impressive outcome discrimination (area under the curve = 0.82, CI 5–95% = 0.78 0.86). Optimal score threshold was used to identify high-risk (mortality 35.0%) and low-risk (mortality 6.33%) patient groups. CONCLUSION We demonstrate a novel risk score capable of classifying patients based on 30-day postsurgical mortality. Application will provide an improved means of predicting outcomes for patients undergoing craniotomy or craniectomy for SDH evacuation.

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