Emergency department prediction of post-concussive syndrome following mild traumatic brain injury-an international cross-validation study.
| Autor: | Faux, Steven, Sheedy, Jo, Delaney, R., Riopelle, Richard |
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| Předmět: |
HEADACHE diagnosis
MEMORY disorders ANALYSIS of variance CHI-squared test COMA COMPARATIVE studies COMPUTER software ALCOHOL drinking DRUG use testing EMERGENCY medical services EMPLOYMENT HOSPITAL emergency services LONGITUDINAL method NEUROPSYCHOLOGICAL tests RESEARCH methodology MEMORY NURSING assessment HEALTH outcome assessment PATIENTS PROBABILITY theory QUESTIONNAIRES REGRESSION analysis RISK assessment SCALE analysis (Psychology) U-statistics LOGISTIC regression analysis DATA analysis POINT-of-care testing QUANTITATIVE research SCALE items EDUCATIONAL attainment PAIN measurement PREDICTIVE validity SEVERITY of illness index POSTCONCUSSION syndrome SYMPTOMS DIAGNOSIS |
| Zdroj: | Brain Injury; Jan2011, Vol. 25 Issue 1, p14-22, 9p, 7 Charts, 2 Graphs |
| Abstrakt: | Background: Between 20-50% of those suffering a mild traumatic brain injury (MTBI) will suffer symptoms beyond 3 months or post-concussive disorder (PCD). Researchers in Sydney conducted a prospective controlled study which identified that bedside recordings of memory impairment together with recordings of moderate or severe pain could predict those who would suffer PCS with 80% sensitivity and specificity of 76%. Primary objective: This study is a cross-validation study of the Sydney predictive model conducted at Montreal General Hospital, Montreal, Canada. Methods: One hundred and seven patients were assessed in the Emergency Department following a MTBI and followed up by phone at 3 months. The Rivermead Post-Concussive Questionnaire was the main outcome measure. Results: Regression analysis showed that immediate verbal recall and quantitative recording of headache was able to predict PCD with a sensitivity of 71.4% and a specificity of 63.3%. In the combined MTBI groups from Sydney and Montreal the sensitivity was 70.2% and the specificity was 64.2%. Conclusion: This is the first study to compare populations from different countries with diverse language groups using a predictive model for identifying PCD following MTBI. The model may be able to identify an 'at risk' population to whom pre-emptive treatment can be offered. [ABSTRACT FROM AUTHOR] |
| Databáze: | Complementary Index |
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