Literature DB >> 23532014

Validation of the ABCD3-I score to predict stroke risk after transient ischemic attack.

Bo Song1, Hui Fang, Lu Zhao, Yuan Gao, Song Tan, Jiameng Lu, Shilei Sun, Avinash Chandra, Ruihao Wang, Yuming Xu.   

Abstract

BACKGROUND AND
PURPOSE: The Age, Blood Pressure, Clinical Features, Duration, and Diabetes plus Dual TIA (ABCD(3)-I) score is recommended to predict the risk of early stroke after transient ischemic attack. The aim of this study was to validate the predictive value of the ABCD(3)-I score and compare the accuracy of the Age, Blood Pressure, Clinical Features, Duration, and Diabetes (ABCD(2)) and ABCD(3)-I scores in a Chinese population.
METHODS: Data were prospectively collected from patients who had transient ischemic attack, as defined by the World Health Organization time-based criteria. ABCD(2) and ABCD(3)-I scores were available within 7 days of the index transient ischemic attack. The predictive outcome was stroke occurrence at 90 days. The receiver-operating characteristic curves were plotted, and the C statistics were calculated as a measure of predictive ability. The comparison of the area under the receiver-operating characteristic curve (area under the curve) was performed by Z test.
RESULTS: Among 239 eligible patients, the mean age was 57.4±13.32 years, and 40.2% of the patients were women. The incidence of stroke at 90 days was 12.1%, which ranged from 0% in patients with lower ABCD(3)-I scores (0-3) to 40.91% in those with higher scores of 8 to 13 (P for trend <0.0001). Moreover, the C statistic of ABCD(3)-I scores (0.825; 95% confidence interval, 0.752-0.898) was statistically higher than that of ABCD(2) scores (0.694; 95% confidence interval, 0.601-0.786; P<0.001).
CONCLUSIONS: The ABCD(3)-I score had a higher predictive value than the ABCD(2) score for assessing the risk of early stroke after transient ischemic attack in a Chinese population.

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Mesh:

Year:  2013        PMID: 23532014     DOI: 10.1161/STROKEAHA.113.000969

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  14 in total

Review 1.  ABCD2 score and secondary stroke prevention: meta-analysis and effect per 1,000 patients triaged.

Authors:  Joanna M Wardlaw; Miriam Brazzelli; Francesca M Chappell; Hector Miranda; Kirsten Shuler; Peter A G Sandercock; Martin S Dennis
Journal:  Neurology       Date:  2015-07-01       Impact factor: 9.910

2.  Validation of the RRE-90 Scale to Predict Stroke Risk after Transient Symptoms with Infarction: A Prospective Cohort Study.

Authors:  Bo Song; Lulu Pei; Hui Fang; Lu Zhao; Yuan Gao; Yuanyuan Wang; Song Tan; Yuming Xu
Journal:  PLoS One       Date:  2015-09-22       Impact factor: 3.240

3.  Prediction of recurrent stroke with ABCD2 and ABCD3 scores in patients with symptomatic 50-99% carotid stenosis.

Authors:  Elias Johansson; Jakob Bjellerup; Per Wester
Journal:  BMC Neurol       Date:  2014-11-30       Impact factor: 2.474

4.  External validation of the A2DS2 score to predict stroke-associated pneumonia in a Chinese population: a prospective cohort study.

Authors:  Yapeng Li; Bo Song; Hui Fang; Yuan Gao; Lu Zhao; Yuming Xu
Journal:  PLoS One       Date:  2014-10-09       Impact factor: 3.240

5.  ABCD3-I score and the risk of early or 3-month stroke recurrence in tissue- and time-based definitions of TIA and minor stroke.

Authors:  Lukas Mayer; Julia Ferrari; Stefan Krebs; Christian Boehme; Thomas Toell; Benjamin Matosevic; Alexander Tinchon; Michael Brainin; Thomas Gattringer; Peter Sommer; Peter Thun; Johann Willeit; Wilfried Lang; Stefan Kiechl; Michael Knoflach
Journal:  J Neurol       Date:  2018-01-11       Impact factor: 4.849

6.  Changes of Metabolites in Acute Ischemic Stroke and Its Subtypes.

Authors:  Xin Wang; Luyang Zhang; Wenxian Sun; Lu-Lu Pei; Mengke Tian; Jing Liang; Xinjing Liu; Rui Zhang; Hui Fang; Jun Wu; Shilei Sun; Yuming Xu; Jian-Sheng Kang; Bo Song
Journal:  Front Neurosci       Date:  2021-01-11       Impact factor: 4.677

7.  The Association Between Serum Apelin-13 and the Prognosis of Acute Ischemic Stroke.

Authors:  Xiao Wang; Xuan Tian; Lu-Lu Pei; Peng-Peng Niu; Yinan Guo; Ruiyao Hu; Kai Liu; Mengke Tian; Youfeng Li; Chunhui Wang; Xin Wang; Yuming Xu; Bo Song
Journal:  Transl Stroke Res       Date:  2020-01-22       Impact factor: 6.829

Review 8.  Transient ischemic attacks: predictability of future ischemic stroke or transient ischemic attack events.

Authors:  Harsh V Gupta; Ann M Farrell; Manoj K Mittal
Journal:  Ther Clin Risk Manag       Date:  2014-01-08       Impact factor: 2.423

Review 9.  Clinical Risk Score for Predicting Recurrence Following a Cerebral Ischemic Event.

Authors:  Durgesh Chaudhary; Vida Abedi; Jiang Li; Clemens M Schirmer; Christoph J Griessenauer; Ramin Zand
Journal:  Front Neurol       Date:  2019-11-12       Impact factor: 4.003

10.  Dual antiplatelet therapy reduced stroke risk in transient ischemic attack with positive diffusion weighted imaging.

Authors:  Lu-Lu Pei; Pei Chen; Hui Fang; Yuan Cao; Yi-Nan Guo; Rui Zhang; Lu Zhao; Yuan Gao; Jun Wu; Shi-Lei Sun; Xiao-Ying Wang; Eng H Lo; Ferdinando S Buonanno; Ming-Ming Ning; Yu-Ming Xu; Bo Song
Journal:  Sci Rep       Date:  2020-11-05       Impact factor: 4.379

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