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Li H, Ye SS, Wu YL, Huang SM, Li YX, Lu K, Huang JB, Chen L, Li HZ, Wu WJ, Wu ZL, Wu JZ, Zhong WT, Xian WC, Liao F, Tung TH, Wu QL, Chen H, Yuan L, Yang Z, Huang LA. Predicting mortality in acute ischaemic stroke treated with mechanical thrombectomy: analysis of a multicentre prospective registry. BMJ Open 2021; 11:e043415. [PMID: 33795300 PMCID: PMC8021751 DOI: 10.1136/bmjopen-2020-043415] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
OBJECTIVES We aimed to determine predictors of mortality within 90 days and develop a simple score for patients with mechanical thrombectomy (MT). DESIGN Analysis of a multicentre prospective registry. SETTING In six participating centres, patients who had an acute ischaemic stroke (AIS) treated by MT between March 2017 and May 2018 were documented prospectively. PARTICIPANTS 224 patients with AIS were treated by MT. RESULTS Of 224 patients, 49 (21.9%) patients died, and 87 (38.8%) were independent. Variables associated with 90-day mortality were age, previous stroke, admission National Institutes of Health Stroke Scale (NIHSS), fasting blood glucose and occlusion site. Logistic regression identified four variables independently associated with 90-day mortality: age ≥80 years (OR 3.26, 95% CI 1.45 to 7.33), previous stroke (OR 2.33, 95% CI 1.04 to 5.21), admission NIHSS ≥18 (OR 2.37, 95% CI 1.13 to 4.99) and internal carotid artery or basilar artery occlusion (OR 2.92, 95% CI 1.34 to 6.40). Using these data, we developed predicting 90-day mortality of AIS with MT (PRACTICE) score ranging from 0 to 6 points. The receiver operator curve analysis found that PRACTICE score (area under the curve (AUC)=0.744, 95% CI 0.669 to 0.820) was numerically better than iScore (AUC=0.661, 95% CI 0.577 to 0.745) and Predicting Early Mortality of Ischemic Stroke score (AUC=0.638, 95% CI 0.551 to 0.725) for predicting 90-day mortality. CONCLUSIONS We developed a simple score to estimate the 90-day mortality of patients who had an AIS treated with MT. But the score needs to be prospectively validated. TRIAL REGISTRATION NUMBER Chinese Clinical Trial Registry (ChiCTR-OOC-17013052).
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Affiliation(s)
- Hao Li
- Department of Neurology, Maoming People’s Hospital, Maoming, China
| | - Shi-sheng Ye
- Department of Neurology, Maoming People’s Hospital, Maoming, China
| | - Yuan-Ling Wu
- Department of Neurology, Longgang District People’s Hospital of Shenzhen, Shenzhen, China
| | - Sheng-Ming Huang
- Department of Neurology, Jinan University First Affiliated Hospital, Guangzhou, China
| | - Yong-Xin Li
- Department of Neurology, Shunde Hospital of Southern Medical University, Foshan, China
| | - Kui Lu
- Department of Neurology, Zhongshan City People’s Hospital, Zhongshan, China
| | - Jing-Bo Huang
- Department of Neurology, Maoming People’s Hospital, Maoming, China
| | - Lve Chen
- Department of Neurology, Shunde Hospital of Southern Medical University, Foshan, China
| | - Hong-Zhuang Li
- Department of Neurology, Shunde Hospital of Southern Medical University, Foshan, China
| | - Wen-Jun Wu
- Department of Neurology, Zhongshan City People’s Hospital, Zhongshan, China
| | - Zhi-Lin Wu
- Department of Integrated Intervention, Yunfu People’s Hospital, Yunfu, China
| | - Jian-Zhou Wu
- Department of Integrated Intervention, Yunfu People’s Hospital, Yunfu, China
| | - Wang-Tao Zhong
- Department of Neurology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Wen-Chuan Xian
- Department of Neurology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Feng Liao
- Department of Neurology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Tao-Hsin Tung
- Department of Enze Medical Research Center, Affiliated Taizhou Hospital of Wenzhou Medical College, Taizhou, China
| | - Qiao-Ling Wu
- Department of Neurology, Maoming People’s Hospital, Maoming, China
| | - Hai Chen
- Department of Neurology, Maoming People’s Hospital, Maoming, China
| | - Li Yuan
- Department of Neurology, Maoming People’s Hospital, Maoming, China
| | - Zhi Yang
- Department of Neurology, Maoming People’s Hospital, Maoming, China
| | - Li-An Huang
- Department of Neurology, Jinan University First Affiliated Hospital, Guangzhou, China
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