Document Detail


Development of a risk score to guide brain imaging in older patients admitted with falls and confusion.
MedLine Citation:
PMID:  21750139     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
Objectives: CT scanning of the brain is commonly performed in older people admitted to hospital with a fall, but the yield of positive findings is low. We used audit data to develop a risk-stratification score to guide more efficient use of CT scanning. Methods: 12 potential predictors of positive CT findings were derived from a literature review. Case notes of consecutive patients presenting with falls and confusion who had undergone brain imaging were reviewed as part of an ongoing audit. Correlation of each factor with positive CT findings was undertaken and a final risk score was developed. Receiver-operating characteristic analysis was undertaken, an optimum cut-off identified, and positive and negative predictive values were calculated. Results: 66 patients with a mean age of 74.8 years were included. 13 of the 66 (20%) brain imaging studies revealed a new pathology. Previous history of falls, atrial fibrillation, head or face trauma, focal neurological signs, warfarin use and a Glasgow coma score of <14 were significant univariate positive predictors. Antecedent dementia was included as a negative predictor. The final weighted score (range -1 to 8 points) gave an area under the curve of 0.83 (95% confidence interval 0.70 to 0.96, p<0.001). When using a cut-off of 3 points, sensitivity for significant new pathology on brain imaging was 83%, specificity was 89%, positive predictive value was 63% and negative predictive value was 96%. Conclusion: A simple weighted risk score may be able to guide the need for brain imaging in older people presenting to hospital with falls. The score requires validation in a larger, prospectively collected cohort.
Authors:
A J Brown; M D Witham; J George
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  The British journal of radiology     Volume:  84     ISSN:  1748-880X     ISO Abbreviation:  Br J Radiol     Publication Date:  2011 Aug 
Date Detail:
Created Date:  2011-07-13     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0373125     Medline TA:  Br J Radiol     Country:  England    
Other Details:
Languages:  eng     Pagination:  756-7     Citation Subset:  AIM; IM    
Affiliation:
NHS Tayside.
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