Takuya Kiyohara1, Masahiro Kamouchi, Yasuhiro Kumai, Toshiharu Ninomiya, Jun Hata, Sohei Yoshimura, Tetsuro Ago, Yasushi Okada, Takanari Kitazono. 1. From the Departments of Medicine and Clinical Science (T. Kiyohara, Y.K., T.N., J.H., S.Y., T.A., T. Kitazono), Health Care Administration and Management (M.K.), and Environmental Medicine (T.N., J.H.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Department of Nephrology, Hypertension, and Strokology, Kyushu University Hospital, Fukuoka, Japan (M.K., T.A., T. Kitazono); Department of Cerebrovascular Disease and Neurology, Hakujyuji Hospital, Fukuoka, Japan (Y.K.); Department of Cerebrovascular Medicine, Fukuoka Red Cross Hospital, Fukuoka, Japan (S.Y.); and Department of Cerebrovascular Medicine, Cerebrovascular Center and Clinical Research Institute, National Kyushu Medical Center, Fukuoka, Japan (Y.O.).
Abstract
BACKGROUND AND PURPOSE: Several risk scores have been developed to predict the stroke risk after transient ischemic attack (TIA). However, the validation of these scores in different cohorts is still limited. The objective of this study was to elucidate whether these scores were able to predict short-term and long-term risks of stroke in patients with TIA. METHODS: From the Fukuoka Stroke Registry, 693 patients with TIA were followed up for 3 years. Multivariable-adjusted Cox proportional hazards model was used to assess the hazard ratio of risk factors for stroke. The discriminatory ability of each risk score for incident stroke was estimated by using C-statistics and continuous net reclassification improvement. RESULTS: The multivariable-adjusted Cox proportional hazards model revealed that dual TIA and carotid stenosis were both significant predictors for stroke after TIA, whereas abnormal diffusion-weighted image was not. ABCD3 (C-statistics 0.61) and ABCD3-I (C-statistics 0.66) scores improved the short-term predictive ability for stroke (at 7 days) compared with the ABCD2 score (C-statistics 0.54). Addition of intracranial arterial stenosis (at 3 years, continuous net reclassification improvement 30.5%; P<0.01) and exclusion of abnormal diffusion-weighted imaging (at 3 years, continuous net reclassification improvement 24.0%; P<0.05) further improved the predictive ability for stroke risk until 3 years after TIA. CONCLUSIONS: The present study demonstrates that ABCD3 and ABCD3-I scores are superior to the ABCD2 score for the prediction of subsequent stroke in patients with TIA. Addition of neuroimaging in the ABCD3 score may enable prediction of long-term stroke risk after TIA.
BACKGROUND AND PURPOSE: Several risk scores have been developed to predict the stroke risk after transient ischemic attack (TIA). However, the validation of these scores in different cohorts is still limited. The objective of this study was to elucidate whether these scores were able to predict short-term and long-term risks of stroke in patients with TIA. METHODS: From the Fukuoka Stroke Registry, 693 patients with TIA were followed up for 3 years. Multivariable-adjusted Cox proportional hazards model was used to assess the hazard ratio of risk factors for stroke. The discriminatory ability of each risk score for incident stroke was estimated by using C-statistics and continuous net reclassification improvement. RESULTS: The multivariable-adjusted Cox proportional hazards model revealed that dual TIA and carotid stenosis were both significant predictors for stroke after TIA, whereas abnormal diffusion-weighted image was not. ABCD3 (C-statistics 0.61) and ABCD3-I (C-statistics 0.66) scores improved the short-term predictive ability for stroke (at 7 days) compared with the ABCD2 score (C-statistics 0.54). Addition of intracranial arterial stenosis (at 3 years, continuous net reclassification improvement 30.5%; P<0.01) and exclusion of abnormal diffusion-weighted imaging (at 3 years, continuous net reclassification improvement 24.0%; P<0.05) further improved the predictive ability for stroke risk until 3 years after TIA. CONCLUSIONS: The present study demonstrates that ABCD3 and ABCD3-I scores are superior to the ABCD2 score for the prediction of subsequent stroke in patients with TIA. Addition of neuroimaging in the ABCD3 score may enable prediction of long-term stroke risk after TIA.
Authors: Shadi Yaghi; Sara K Rostanski; Amelia K Boehme; Sheryl Martin-Schild; Alyana Samai; Brian Silver; Christina A Blum; Mahesh V Jayaraman; Matthew S Siket; Muhib Khan; Karen L Furie; Mitchell S V Elkind; Randolph S Marshall; Joshua Z Willey Journal: JAMA Neurol Date: 2016-05-01 Impact factor: 18.302
Authors: Salim Elyas; Angela C Shore; Hayley Kingwell; Samantha Keenan; Leigh Boxall; Jane Stewart; Martin A James; William David Strain Journal: Ann Clin Transl Neurol Date: 2016-07-27 Impact factor: 4.511
Authors: Aleksandra Yakhkind; Ryan A McTaggart; Mahesh V Jayaraman; Matthew S Siket; Brian Silver; Shadi Yaghi Journal: Front Neurol Date: 2016-06-10 Impact factor: 4.003