Systemic Severity and Organ Dysfunction in Subarachnoid Hemorrhage: A Large Retrospective Multicenter Cohort Study

• Published in: Neurocritical care 2021-08, Vol.35 (1), p.56-61
• Main Authors: Kurtz, Pedro, Taccone, Fabio Silvio, Bozza, Fernando A., Bastos, Leonardo S. L., Righy, Cassia, Gonçalves, Bruno, Turon, Ricardo, Machado, Maristela Medeiros, Maia, Marcelo, Ferez, Marcus A., Nassif, Carlos, Soares, Marcio, Salluh, Jorge I. F.
• Format: Article
• Language: English
• Subjects: Age; Aneurysms; Calibration; Cohort Studies; Critical Care Medicine; Frailty; Glasgow Coma Scale; Hospital Mortality; Hospitals; Humans; Hypertension; Intensive; Intensive Care Units; Internal Medicine; Ischemia; Length of stay; Medicine; Medicine & Public Health; Mortality; Multiple Organ Failure; Neurology; Neurosurgery; Original Work; Ostomy; Prognosis; Retrospective Studies; ROC Curve; Subarachnoid Hemorrhage - therapy; Surgeons; Ventilators
• ISSN: 1541-6933; 1556-0961
• DOI: 10.1007/s12028-020-01139-3

Background and Purpose Acute physiologic derangements and multiple organ dysfunction are common after subarachnoid hemorrhage. We aimed to evaluate the simplified acute physiology score 3 (SAPS-3) and the sequential organ failure assessment (SOFA) scores for the prediction of in-hospital mortality in a large multicenter cohort of SAH patients. Methods This was a retrospective analysis of prospectively collected data from 45 ICUs in Brazil, during 2014 and 2015. Patients admitted with non-traumatic subarachnoid hemorrhage (SAH) were included. Clinical and outcome data were retrieved from an electronic ICU quality registry. SAPS-3 and SOFA scores, without the neurological components (i.e., nSAPS-3 and nSOFA, respectively) were recorded, as well as the World Federation of Neurological Surgeons (WFNS) scale. We used multilevel logistic regression analysis to identify factors associated with in-hospital mortality. We evaluated performance using the area under the receiver operating characteristic curve (AUROC), as well as calibration belts and precision–recall plots. Results The study included 997 patients, from which 426 (43%) had poor clinical grade (WFNS 4 or 5) and in-hospital mortality was 34%. Median nSAPS-3 and nSOFA score at admission were 46 (IQR: 38–55) and 2 (0–5), respectively. Non-survivors were older, had higher nSAPS-3 and nSOFA, and more often poor grade. After adjustment for age, poor grade and withdrawal of life sustaining therapies, multivariable analysis identified nSAPS-3 and nSOFA score as independent clinical predictors of in-hospital mortality. The AUROC curve that included nSAPS-3 and nSOFA scores significantly improved the already good discrimination and calibration of age and WFNS to predict in-hospital mortality (AUROC: 0.89 for the full final model vs. 0.85 for age and WFNS; P