Single versus Serial Measurements of Neuron-Specific Enolase and Prediction of Poor Neurological Outcome in Persistently Unconscious Patients after Out-Of-Hospital Cardiac Arrest - A TTM-Trial Substudy

Sebastian Wiberg, Christian Hassager, Pascal Stammet, Matilde Winther-Jensen, Jakob Hartvig Thomsen, David Erlinge, Michael Wanscher, Niklas Nielsen, Tommaso Pellis, Anders Åneman, Hans Friberg, Jan Hovdenes, Janneke Horn, Jørn Wetterslev, John Bro-Jeppesen, Matthew P Wise, Michael Kuiper, Tobias Cronberg, Yvan Gasche, Yvan Devaux, Jesper Kjaergaard, Sebastian Wiberg, Christian Hassager, Pascal Stammet, Matilde Winther-Jensen, Jakob Hartvig Thomsen, David Erlinge, Michael Wanscher, Niklas Nielsen, Tommaso Pellis, Anders Åneman, Hans Friberg, Jan Hovdenes, Janneke Horn, Jørn Wetterslev, John Bro-Jeppesen, Matthew P Wise, Michael Kuiper, Tobias Cronberg, Yvan Gasche, Yvan Devaux, Jesper Kjaergaard

Abstract

Background: Prediction of neurological outcome is a crucial part of post cardiac arrest care and prediction in patients remaining unconscious and/or sedated after rewarming from targeted temperature management (TTM) remains difficult. Current guidelines suggest the use of serial measurements of the biomarker neuron-specific enolase (NSE) in combination with other predictors of outcome in patients admitted after out-of-hospital cardiac arrest (OHCA). This study sought to investigate the ability of NSE to predict poor outcome in patients remaining unconscious at day three after OHCA. In addition, this study sought to investigate if serial NSE measurements add incremental prognostic information compared to a single NSE measurement at 48 hours in this population.

Methods: This study is a post-hoc sub-study of the TTM trial, randomizing OHCA patients to a course of TTM at either 33°C or 36°C. Patients were included from sites participating in the TTM-trial biobank sub study. NSE was measured at 24, 48 and 72 hours after ROSC and follow-up was concluded after 180 days. The primary end point was poor neurological function or death defined by a cerebral performance category score (CPC-score) of 3 to 5.

Results: A total of 685 (73%) patients participated in the study. At day three after OHCA 63 (9%) patients had died and 473 (69%) patients were not awake. In these patients, a single NSE measurement at 48 hours predicted poor outcome with an area under the receiver operating characteristics curve (AUC) of 0.83. A combination of all three NSE measurements yielded the highest discovered AUC (0.88, p = .0002). Easily applicable combinations of serial NSE measurements did not significantly improve prediction over a single measurement at 48 hours (AUC 0.58-0.84 versus 0.83).

Conclusion: NSE is a strong predictor of poor outcome after OHCA in persistently unconscious patients undergoing TTM, and NSE is a promising surrogate marker of outcome in clinical trials. While combinations of serial NSE measurements may provide an increase in overall prognostic information, it is unclear whether actual clinical prognostication with low false-positive rates is improved by application of serial measurements in persistently unconscious patients. The findings of this study should be confirmed in another prospective cohort.

Trial registration: NCT01020916.

Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1. Patient inclusion.
Fig 1. Patient inclusion.
Displaying the total Targeted Temperature Management (TTM) population, Intention-To-Treat (ITT) population and outcomes by the Cerebral Performance Category (CPC) scale.
Fig 2. Predictive ability of neuron-specific enolase…
Fig 2. Predictive ability of neuron-specific enolase (NSE) for poor outcome after out-of-hospital cardiac arrest.
Receiver Operating Characteristics plots showing the predictive ability of NSE models to predict poor outcome (CPC 3–5) at 180 days after OHCA in patients remaining unconscious at day 3 with inserts showing the enlarged plots for low false-positive rates from zero to five percent (AUCs presented for identical populations).

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Source: PubMed

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