Modeling Serum Biomarkers S100 Beta and Neuron-Specific Enolase as Predictors of Outcome After Out-of-Hospital Cardiac Arrest An Aid to Clinical Decision Making

JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY

卷:60

Article

Einav, Sharon^1,2  Kaufman, Nechama¹  Algur, Nurit¹  Kark, Jeremy D.³ 

[1] Hebrew Univ Jerusalem, Shaare Zedek Med Ctr, IL-91031 Jerusalem, Israel

[2] Hebrew Univ Jerusalem, Hadassah Fac Med, IL-91031 Jerusalem, Israel

[3] Hebrew Univ Jerusalem, Hadassah Braun Sch Publ Hlth & Community Med, Epidemiol Unit, IL-91031 Jerusalem, Israel

关键词: biological markers;    brain injuries;    cardiac arrest;    cardiopulmonary resuscitation;    clinical decision making;    NSE protein;    S100 proteins;   

DOI  :  10.1016/j.jacc.2012.04.020

来源: Elsevier

【 摘 要 】

Objectives The aim of this study was to determine the added value of the serum biomarkers S100 and neuron-specific enolase to clinical characteristics for predicting outcome after out-of-hospital cardiac arrest. Background Serum S100 beta (S100B) and neuron-specific enolase concentrations rise after brain injury. Methods A prolective observational study was conducted among all adult survivors of nontraumatic out-of-hospital cardiac arrest admitted to 1 hospital (April 3, 2008 to April 3, 2011). Three blood samples (on arrival and on days 1 and 3) were drawn for biomarkers, contingent on survival. Follow-up continued until in-hospital death or discharge. Outcomes were defined as good (Cerebral Performance Category score 1 or 2) or poor (Cerebral performance category score 3 to 5). Results A total of 195 patients were included (65.6% men, mean age 73 +/- 16 years), with presenting rhythms of asystole in 61.5% and ventricular tachycardia or ventricular fibrillation in 24.1%. Only 43 patients (22.0%) survived to hospital discharge, 26 (13.3%) with good outcomes. Patients with good outcomes had significantly lower S100B levels at all time points and lower neuron-specific enolase levels on days 1 and 3 compared with those with poor outcomes. Independent predictors at admission of a good outcome were younger age, a presenting rhythm of ventricular tachycardia or ventricular fibrillation, and lower S100B level. Predictors on day 3 were younger age and lower day 3 S100B level. The area under the receiver-operating characteristic curve of the admission-day model was 0.932 with and 0.880 without biomarker data (p = 0.027 for the difference). Conclusions Risk stratification after out-of-hospital cardiac arrest using both clinical and biomarker data is feasible. The biomarkers, although adding an ostensibly modest 5.2% to the area under the receiver-operating characteristic curve, substantially reduced the level of uncertainty in decision making. Nevertheless, current biomarkers cannot replace societal considerations in determining acceptable levels of uncertainty. (Protein S100 Beta as a Predictor of Resuscitation Outcome; NCT00814814) (J Am Coll Cardiol 2012;60:304-11) (C) 2012 by the American College of Cardiology Foundation

【 授权许可】

Free