http://hdl.handle.net/1893/9214
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 |
Contact Email: | ronan.ocarroll@stir.ac.uk |
Keywords: | Adjustment Assessment at risk Brain cardiac arrest Death discharge DYSFUNCTION Estimation EVENT function IMPAIRMENT Information INVESTIGATE memories Memory method methods objective patient Patients Prediction predictors Prospective Studies PROTEIN relationship risk SAMPLE SAMPLES SERUM time VALUE WHO |
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. https://doi.org/10.1136/hrt.2006.091314 |
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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