045 Predicting risk of stroke following TIA: a systematic review of the validation of ABCD2 clinical prediction rule. (16th November 2010)

• Record Type: Journal Article
• Authors: Galvin, R; Geraghty, C; Motterlini, N; Dimitrov, B D; Fahey, T
• Is Part Of: Journal of epidemiology and community health. Volume 64(2010)Supplement 1
• Page Start: A18
• Page End: A18
• Publication Date: 2010-11-16
• Subjects: Public health -- Periodicals; Epidemiology -- Periodicals; 614.4
• DOI: 10.1136/jech.2010.120956.45
• Languages: English
• ISSNs: 0143-005X

Abstract

Abstract : Introduction: Stroke is a leading cause of death and acquired disability in every society in which it has been studied. Stroke and transient ischaemic attack (TIA) arise from identical aetiologies and a number of studies have demonstrated that TIAs carry a significant risk of stroke. Several independent predictors of stroke have been incorporated into models such as the ABCD 2 clinical prediction rule, which is used to predict risk of stroke following TIA. This systematic review assessed the predictive value of the ABCD 2 rule in relation to 7 and 90 day risk of stroke. Methods: A computerised systematic literature search was performed to retrieve articles that validated the ABCD 2 rule. The original derivation study was used as a predictive model and applied to all validation studies, with observed and predicted number of strokes at 7 and 90 days stratified by risk group (0-3 low, 4-5 moderate, 6-7 high). Results from the studies were pooled and risk ratios (RR) with 95% CI produced. Forest plots were used to graphically display the data. A RR score of 1 represents correct prediction by the ABCD 2 rule, <1 represents under-prediction and >1 over-prediction. Results: Nine validation studies (n=5626) predicted 7 day stroke risk. The ABCD 2 rule correctly predicted occurrence of stroke at 7 days across all three risk strata: low risk (n=1933) — RR 1.12, 95% CI (0.61 to 2.05); moderate risk (n=2640)—RR 1.11, 95% CI (0.74 to 1.68); high risk (n=1053)—RR 0.98, 95% CI (0.69 to 1.41). There were 318 strokes predicted and 288 strokes observed at 7 days across all three risk strata. Data on five studies (n=4897) were pooled to predict 90 day stroke risk. The ABCD 2 rule over-predicted the occurrence of stroke across all three risk strata — low risk (n=1660), RR 1.50, 95% CI (0.86 to 2.62); moderate risk (n=2214), RR 2.24, 95% CI (1.29 to 3.91); high risk (n=1033), RR 2.00, 95% CI (0.90 to 4.45). There were 268 strokes observed at 90 days in contrast to 404 predicted strokes. The chi-squared trend for analysis indicated that as the trichotomised ABCD 2 score increased, the rate of stroke increased (p<0.0001). Conclusion: The ABCD 2 score correctly predicts 7 day risk of stroke across all risk strata but over-predicts 90 day risk of stroke in all groups. The variation in the study setting and design needs to be considered in the interpretation of these findings. ABCD 2 is a useful CPR, particularly in relation to 7 day risk of stroke.