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- Title
Association between CHADS 2 , CHA 2 DS 2 -VASc, ATRIA, and Essen Stroke Risk Scores and Functional Outcomes in Acute Ischemic Stroke Patients Who Received Endovascular Thrombectomy.
- Authors
Kim, Hyung Jun; Park, Moo-Seok; Yoo, Joonsang; Kim, Young Dae; Park, Hyungjong; Kim, Byung Moon; Bang, Oh Young; Kim, Hyeon Chang; Han, Euna; Kim, Dong Joon; Heo, JoonNyung; Choi, Jin Kyo; Lee, Kyung-Yul; Lee, Hye Sun; Shin, Dong Hoon; Choi, Hye-Yeon; Sohn, Sung-Il; Hong, Jeong-Ho; Lee, Jong Yun; Baek, Jang-Hyun
- Abstract
Background: CHADS2, CHA2DS2-VASc, ATRIA, and Essen stroke risk scores are used to estimate thromboembolism risk. We aimed to investigate the association between unfavorable outcomes and stroke risk scores in patients who received endovascular thrombectomy (EVT). Methods: This study was performed using data from a nationwide, multicenter registry to explore the selection criteria for patients who would benefit from reperfusion therapies. We calculated pre-admission CHADS2, CHA2DS2-VASc, ATRIA, and Essen scores for each patient who received EVT and compared the relationship between these scores and 3-month modified Rankin Scale (mRS) records. Results: Among the 404 patients who received EVT, 213 (52.7%) patients had unfavorable outcomes (mRS 3–6). All scores were significantly higher in patients with unfavorable outcomes than in those with favorable outcomes. Multivariable logistic regression analysis indicated that CHADS2 and the ATRIA score were positively correlated with unfavorable outcomes after adjusting for body mass index and variables with p < 0.1 in the univariable analysis (CHADS2 score: odds ratio [OR], 1.484; 95% confidence interval [CI], 1.290–1.950; p = 0.005, ATRIA score, OR, 1.128; 95% CI, 1.041–1.223; p = 0.004). Conclusions: The CHADS2 and ATRIA scores were positively correlated with unfavorable outcomes and could be used to predict unfavorable outcomes in patients who receive EVT.
- Subjects
ESSEN (Germany); DISEASE risk factors; STROKE patients; ENDOVASCULAR surgery; ATRIUMS (Architecture); LOGISTIC regression analysis
- Publication
Journal of Clinical Medicine, 2022, Vol 11, Issue 19, p5599
- ISSN
2077-0383
- Publication type
Article
- DOI
10.3390/jcm11195599