机构:[1]Department of Neurology,Beijing Tiantan Hospital, Capital Medical University, China重点科室诊疗科室神经病学中心首都医科大学附属天坛医院[2]Department of Interventional Neurology,Beijing Tiantan Hospital, Capital Medical University, China重点科室诊疗科室神经病学中心首都医科大学附属天坛医院[3]China National Clinical Research Center for Neurological Diseases, Beijing[4]Center of Stroke, Beijing Institute for Brain Disorders, China[5]Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, China
Background and Purpose The simplified stroke-thrombolytic predictive instrument (s-Stroke-TPI) is useful for predicting the outcomes in thrombolysis-treated patients in Western populations. We aimed to validate its predictive value in Chinese patients. Methods Data from thrombolysis implementation and monitor of acute ischemic stroke in China were analyzed. Patients with acute ischemic stroke and treated with thrombolysis within 4.5 hours of symptom onset were included. The 3-month functional outcomes were assessed with the modified Rankin Scale (mRS). Model discrimination was quantified by calculating the area under receiver operating characteristic curve. s-Stroke-TPI was compared with dense artery sign, mRS score, age, glucose, onset to treatment time, and National Institutes of Health Stroke Scale or stroke prognostication using age and National Institutes of Health Stroke Scale. Results A total of 1102 patients who received thrombolysis were enrolled. The area under receiver operating characteristic curve of s-Stroke-TPI for predicting a catastrophic outcome (mRS score, 5-6), a normal/near-normal outcome (mRS score, 0-1), and independent outcome (mRS score, 0-2) at 3 months were 0.80, 0.73, and 0.75, respectively, which were significantly higher than or similar to those of dense artery sign, mRS score, age, glucose, onset to treatment time, and National Institutes of Health Stroke Scale or stroke prognostication using age and National Institutes of Health Stroke Scale. The calibration analysis of the s-Stroke-TPI showed a high correlation between the predicted and observed probabilities of the functional outcomes at 3 months. Conclusions The s-Stroke-TPI reliably predicted the 3-month functional outcomes, especially catastrophic outcomes, in Chinese stroke patients with thrombolysis. Further validation is needed to confirm outcome predictions in patients both with and without thrombolysis.
基金:
National Science and Technology Major Project of China [2011BAI08B02]; State Key Research and Development Program of China [2017YFC1307905]; Talents Project of Beijing [2014000021469G255]
第一作者机构:[1]Department of Neurology,Beijing Tiantan Hospital, Capital Medical University, China[3]China National Clinical Research Center for Neurological Diseases, Beijing[4]Center of Stroke, Beijing Institute for Brain Disorders, China[5]Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, China
共同第一作者:
通讯作者:
通讯机构:[1]Department of Neurology,Beijing Tiantan Hospital, Capital Medical University, China[3]China National Clinical Research Center for Neurological Diseases, Beijing[5]Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, China[*1]Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No. 6 Tiantanxili, Dongcheng District, Beijing 100050, China[*2]Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No. 6 Tiantanxili, Dongcheng District, Beijing 100050, China
推荐引用方式(GB/T 7714):
Wang Chunjuan,Yang Yingying,Pan Yuesong,et al.Validation of the Simplified Stroke-Thrombolytic Predictive Instrument to Predict Functional Outcomes in Chinese Patients[J].STROKE.2018,49(11):2773-2776.doi:10.1161/STROKEAHA.118.022269.
APA:
Wang, Chunjuan,Yang, Yingying,Pan, Yuesong,Liao, Xiaoling,Huo, Xiaochuan...&Wang, Yilong.(2018).Validation of the Simplified Stroke-Thrombolytic Predictive Instrument to Predict Functional Outcomes in Chinese Patients.STROKE,49,(11)
MLA:
Wang, Chunjuan,et al."Validation of the Simplified Stroke-Thrombolytic Predictive Instrument to Predict Functional Outcomes in Chinese Patients".STROKE 49..11(2018):2773-2776