Why the study?
Cardiac arrest frequently causes mortality or severe neurological dysfunction, prompting the need to explore neurological prognostic factors in these patients.
Do serum NSE and S100β levels predict neurological outcomes in adult patients after cardiac arrest?
Population
191 adult patients with CA
Comparison
Good vs poor neurological outcome based on serum NSE and S100β levels
Design
Retrospective observational study
Key result
Serum NSE at ICU discharge showed excellent predictive accuracy for neurological outcomes (AUC 0.901), and an early warning model combining day 1 NSE and S100β yielded an AUC of 0.792.
Authors
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May aid post-arrest prognostication; leaves open prospective validation before clinical adoption.
Observational (n=191)
Do serum NSE and S100β levels predict neurological outcomes in adult patients after cardiac arrest?
Effect estimate: AUC 0.901
Serum NSE and S100β levels, particularly when combined with clinical scores, provide a reliable early warning model for predicting poor neurological outcomes in patients following cardiac arrest.
Hu et al. (2024) conducted an observational in Cardiac arrest (n=191). Serum neuron-specific enolase (NSE) and S100 calcium-binding protein β (S100β) was evaluated on Cerebral Performance Category (CPC) scale score at ICU discharge (AUC 0.901). Serum NSE at ICU discharge showed excellent predictive accuracy for neurological outcomes (AUC 0.901), and an early warning model combining day 1 NSE and S100β yielded an AUC of 0.792.