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Appears in Collections:Psychology Journal Articles
Peer Review Status: Refereed
Title: Prediction of cognitive dysfunction after resuscitation from out-of-hospital cardiac arrest using serum neuron-specific enolase and protein S-100
Author(s): Grubb, Neil R
Simpson, Catriona
Sherwood, Roy A
Abraha, Hagosa D
Cobbe, Stuart M
O'Carroll, Ronan
Deary, Ian
Fox, Keith A A
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Keywords: Adjustment
at risk
cardiac arrest
Prospective Studies
Issue Date: Oct-2007
Date Deposited: 24-Sep-2012
Citation: Grubb NR, Simpson C, Sherwood RA, Abraha HD, Cobbe SM, O'Carroll R, Deary I & Fox KAA (2007) Prediction of cognitive dysfunction after resuscitation from out-of-hospital cardiac arrest using serum neuron-specific enolase and protein S-100. Heart, 93 (10), pp. 1268-1273.
Abstract: Background: More than 50% of patients initially resuscitated from out-of-hospital cardiac arrest die in hospital. Objective: To investigate the prognostic value of serum protein S-100 and neuron-specific enolase (NSE) concentrations for predicting (a) memory impairment at discharge; (b) in-hospital death, after resuscitation from out-of-hospital cardiac arrest. Methods: In a prospective study of 143 consecutive survivors of out-of-hospital cardiac arrest, serum samples were obtained within 12, 24-48 and 72-96 hours after the event. S-100 and NSE concentrations were measured. Pre-discharge cognitive assessment of patients (n = 49) was obtained by the Rivermead Behavioural Memory Test (RBMT). The relationship between biochemical brain marker concentrations and RBMT scores, and between marker concentrations and the risk of in-hospital death was examined. Results: A moderate negative relationship was found between S-100 concentration and memory test score, at all time points. The relationship between NSE and memory test scores was weaker. An S-100 concentration greater than 0.29 ?g/l at time B predicted moderate to severe memory impairment with absolute specificity (42.8% sensitivity). S-100 remained an independent predictor of memory function after adjustment for clinical variables and cardiac arrest timing indices. NSE and S-100 concentrations were greater in patients who died than in those who survived, at all time points. Both NSE and S-100 remained predictors of in-hospital death after adjustment for clinical variables and cardiac arrest timing indices. The threshold concentrations yielding 100% specificity for in-hospital death were S-100: 1.20 ?g/l (sensitivity 44.8%); NSE 71.0 ?g/l (sensitivity 14.0%). Conclusions: Estimation of serum S-100 concentration after out-of-hospital cardiac arrest can be used to identify patients at risk of significant cognitive impairment at discharge. Serum S-100 and NSE concentrations measured 24-48 hours after cardiac arrest provide useful additional information.
DOI Link: 10.1136/hrt.2006.091314
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