Abstract 353: Performance of SOFA Score to Predict Mortality at Hospital Discharge After Cardiac Arrest
Autor: | Anne V Grossestreuer, Tuyen Yankama, Ari Moskowitz, Anthony Mahoney-Pacheco, Varun Konanki, Thomas Leith, Parth V Patel, Katherine M Berg, Mathias J Holmberg, Michael W Donnino |
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Rok vydání: | 2018 |
Předmět: | |
Zdroj: | Circulation. 138 |
ISSN: | 1524-4539 0009-7322 |
Popis: | Introduction: Cardiac arrest (CA) outcomes, when dichotomized as survival/non-survival, limit statistical power of interventional studies and do not acknowledge hospital-level factors independent of post-CA sequelae. We explored the Sequential Organ Failure Assessment (SOFA) score at 72 hours post-CA as a surrogate outcome measure for mortality. We also assessed methods to account for death Methods: This was a single center retrospective study of post-CA patients from 1/08-12/17. SOFA score components were abstracted at baseline, 24, 48, and 72h post-CA. Thirteen ways of accounting for missing data were assessed. The outcome was mortality at hospital discharge. Model performance was assessed using area under the receiver-operator characteristic (AUC) curves and Hosmer-Lemeshow goodness of fit statistics. Results: Of 847 patients, 528 (62%) had complete baseline SOFA scores and 205 (24%) had complete scores at 72h. Death Conclusions: Without consideration of death, SOFA scores at 72 hours post-CA perform poorly. Imputing for early mortality improved the model. If this imputation structure is validated prospectively, SOFA could provide a scoring system to predict death at hospital discharge and serve as a surrogate outcome measure in interventional studies. |
Databáze: | OpenAIRE |
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