Artigo Acesso aberto Revisado por pares

ABCD3 and ABCD3-I Scores Are Superior to ABCD2 Score in the Prediction of Short- and Long-Term Risks of Stroke After Transient Ischemic Attack

2013; Lippincott Williams & Wilkins; Volume: 45; Issue: 2 Linguagem: Inglês

10.1161/strokeaha.113.003077

ISSN

1524-4628

Autores

Takuya Kiyohara, Masahiro Kamouchi, Yasuhiro Kumai, Toshiharu Ninomiya, Jun Hata, Sohei Yoshimura, Tetsuro Ago, Yasushi Okada, Takanari Kitazono, Takao Ishitsuka, Shigeru Fujimoto, Setsuro Ibayashi, Kenji Kusuda, Shuji Arakawa, Kinya Tamaki, Seizo Sadoshima, Katsumi Irie, Kenichiro Fujii, Yasushi Okada, Masahiro Yasaka, T Nagao, Hiroaki Ooboshi, Tsuyoshi Omae, Ḱazunori Toyoda, Hiroshi Nakane, Hiroshi Sugimori, Kenji Fukuda, Ryu Matsuo, Junya Kuroda, Yoshihisa Fukushima,

Tópico(s)

Coronary Interventions and Diagnostics

Resumo

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.

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