Neuron-specific enolase (NSE) improves clinical risk scores for prediction of neurological outcome and death in cardiac arrest patients: Results from a prospective trial. (September 2019)

• Record Type: Journal Article
• Authors: Luescher, Tanja; Mueller, Jonas; Isenschmid, Cyril; Kalt, Jeanice; Rasiah, Roshaani; Tondorf, Theresa; Gamp, Martina; Becker, Christoph; Sutter, Raoul; Tisljar, Kai; Schuetz, Philipp; Marsch, Stephan; Hunziker, Sabina
• Is Part Of: Resuscitation. Volume 142(2019)
• Page Start: 50
• Page End: 60
• Publication Date: 2019-09
• Subjects: Neuron-specific enolase -- Cardiac arrest -- Cardiopulmonary resuscitation -- Prognosis; Resuscitation -- Periodicals; Resuscitation -- Periodicals; Réanimation -- Périodiques; Electronic journals; 616.025
• DOI: 10.1016/j.resuscitation.2019.07.003
• Languages: English
• ISSNs: 0300-9572

Abstract

Abstract: Aim: Neuron-specific enolase (NSE) increases in response to brain injury and is recommended for outcome prediction in cardiac arrest patients. Our aim was to investigate whether NSE measured at different days after a cardiac arrest and its kinetics would improve the prognostic ability of two cardiac arrest specific risk scores. Methods: Within this prospective observational study, we included consecutive adult patients after cardiac arrest. We calculated the Out-of-hospital cardiac arrest (OHCA) score and the Cardiac Arrest Hospital Prognosis (CAHP) score upon ICU admission and measured serum NSE upon admission and days 1, 2, 3, 5 and 7. We calculated logistic regression models to study associations of scores and NSE levels with neurological outcome defined by Cerebral Performance Category (CPC) scale and in-hospital death. Results: From 336 included patients, 180 (54%) survived until hospital discharge, of which 150 (45%) had a good neurological outcome. NSE at day 3 showed the highest prognostic accuracy (discrimination) for neurological outcome (area under the curve (AUC) 0.89) and in-hospital mortality (AUC 0.88). These results were robust in reclassification statistics and across different subgroups. NSE kinetics with admission levels serving as a baseline did not further improve prognostication. NSE on day 3 significantly improved discrimination of both clinical risk scores (CAHP from AUC 0.81 to 0.91; OHCA from AUC 0.79 to 0.89). Conclusion: NSE measured at day 3 significantly improves clinical risk scores for outcome prediction in cardiac arrest patients and may thus add to clinical decision making about escalation or withdrawal of therapy in this vulnerable patient population.