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.
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?
Observational (n=191)
Do serum NSE and S100β levels predict neurological outcomes in adult patients after cardiac arrest?
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.
May aid post-arrest prognostication; leaves open prospective validation before clinical adoption.
Cardiac arrest (CA) is a serious health concern that often results in mortality or severe neurological dysfunction in the case of survival. Our aim was to explore the neurological prognostic factors in patients with CA. This retrospective observational study included adult patients with CA. We investigated serum neuron-specific enolase (NSE), S100 calcium-binding protein β (S100β), and indices and parameters at 1, 3, 5, 7 and intensive care unit (ICU) discharge days after CA. The primary study endpoint was the Cerebral Performance Category (CPC) scale score at ICU discharge, which was dichotomized as good neurological outcome (CPC 1-2: full recovery or moderate disability) and poor neurological outcome (CPC 3-5: severe disability, vegetative state, or death). Of the 191 adult patients with CA, 42 (22%) had good neurological outcomes, and 149 (78%) had poor neurological outcomes. NSE at 1,3,5,7 and ICU discharge days showed excellent predictive accuracy for neurological outcomes (area under the curve [AUC]: 0.666, 0.716, 0.870, 0.739, and 0.901, respectively). However, S100β exhibited general predictive power (AUC: 0.666, 0.573, 0.607, 0.594, 0.727). Finally, the early warning model, which combined day 1 NSE, day 1 S100β, cardiac arrest time, SOFA scores, APACHE II scores, and age, was used to screen CA patients with poor neurological prognosis at early stages and had an AUC of 0.792. Serum concentrations of NSE and S100β were significantly elevated in CA patients and could be prognostic biomarkers to predict neurological outcomes. Day 1 NSE and S100β combined with multiple indicators could be a decent early warning model for poor neurological prognosis in patients with CA.
No takes yet. Share an insight, caveat, or question.
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.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: