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Ma J, Chervak LM, Siegler JE, Li Z, Mofatteh M, Galecio-Castillo M, Zhou S, Huang J, Lai Y, Zhang Y, Guo J, Zhang X, Cheng C, Tang J, Chen J, Chen Y. Postinterventional Petechial Hemorrhage Associated With Poor Functional Outcome After Successful Recanalization Following Endovascular Therapy. Neurosurgery 2024:00006123-990000000-01272. [PMID: 38984821 DOI: 10.1227/neu.0000000000003098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Accepted: 05/25/2024] [Indexed: 07/11/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Endovascular therapy (EVT) has emerged as the standard for treating patients with acute ischemic stroke due to large vessel occlusion. The aim of this study was to investigate the relationship between early petechial hemorrhage and patient outcomes after successful EVT of anterior circulation. METHODS We retrospectively analyzed multicenter data from 316 patients who underwent EVT for acute occlusion of anterior circulation. Patients were divided into petechial hemorrhage group and without hemorrhage group based on post-EVT head imaging. Logistical regression analysis was performed to determine independent predictors for petechial hemorrhage, and for petechial hemorrhage as a predictor of early neurological improvement, favorable outcome at 90 days (modified Rankin Scale 0-2), and 90-day mortality, with adjustment for all factors significantly associated with these endpoints in univariate regression to P < .10. RESULTS Of 316 included patients with successful EVT, 49 (15.50%) had petechial hemorrhage. The petechial hemorrhage group showed less early neurological improvement (36.73% compared with 53.56%, P = .030), less favorable outcomes at 90 days (32.65% compared with 61.80%, P < .001, absolute risk difference 29.15%), and higher mortality at 90 days (28.57% compared with 10.49%, P = .001) then the group without hemorrhage. Petechial hemorrhage was inversely associated with favorable 90-day outcome (odds ratio = 0.415, 95% CI 0.206-0.835) and higher mortality rate at 90 days (odds ratio = 2.537, 95% CI 1.142-5.635) in multivariable regression but was not independently associated with early neurological improvement. CONCLUSION In patients with anterior large vessel occlusion who underwent successful EVT, petechial hemorrhage was associated with poor functional outcome and 90-day mortality when adjusted for complete recanalization, pre-EVT National Institute of Health Stroke Scale/Score, and Alberta Stroke Program Early Computed Tomography Score. Despite the relatively lower rate of a favorable 90-day outcome with petechial hemorrhage compared with no petechial hemorrhage, the absolute rate of a favorable outcome exceeds the natural history of medical management for this condition.
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Affiliation(s)
- Jicai Ma
- Department of Neurology, The Affiliated Yuebei People's Hospital of Shantou University Medical College, Shaoguan, China
| | - Lina M Chervak
- Department of Neurology, University of Chicago, Chicago, Illinois, USA
| | - James E Siegler
- Department of Neurology, University of Chicago, Chicago, Illinois, USA
| | - Zhenzhang Li
- College of Mathematics and Systems Science, Guangdong Polytechnic Normal University, Guangzhou, China
- School of Basic Medical Sciences, Guangzhou Medical University, Guangzhou, China
| | - Mohammad Mofatteh
- School of Medicine, Dentistry and Biomedical Sciences, Queen's University, Belfast, UK
| | | | - Sijie Zhou
- Department of Surgery of Cerebrovascular Diseases, First People's Hospital of Foshan, Foshan, China
| | - Jianhui Huang
- Department of Surgery of Cerebrovascular Diseases, First People's Hospital of Foshan, Foshan, China
| | - Yuzheng Lai
- Department of Neurology, Guangdong Provincial Hospital of Integrated Traditional Chinese and Western Medicine (Nanhai District Hospital of Traditional Chinese Medicine of Foshan City), Foshan, China
| | - Youyong Zhang
- Interventional Department, The Affiliated Yuebei People's Hospital of Shantou University Medical College, Shaoguan, China
| | - Junhui Guo
- Department of Neurology, The Affiliated Yuebei People's Hospital of Shantou University Medical College, Shaoguan, China
| | - Xiuling Zhang
- Department of Neurology, The Affiliated Yuebei People's Hospital of Shantou University Medical College, Shaoguan, China
| | - Chunyun Cheng
- Department of Neurology, The Affiliated Yuebei People's Hospital of Shantou University Medical College, Shaoguan, China
| | - Jiaying Tang
- Department of Neurology, The Affiliated Yuebei People's Hospital of Shantou University Medical College, Shaoguan, China
| | - Junbin Chen
- Department of Neurology, The Affiliated Yuebei People's Hospital of Shantou University Medical College, Shaoguan, China
| | - Yimin Chen
- Department of Neurology and Advanced National Stroke Center, Foshan Sanshui District People's Hospital, Foshan, China
- Neuro International Collaboration (NIC), Foshan, China
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Liang W, Kwan ATH, Ye H, Mofatteh M, Feng M, Wellington J, Fu P, Wei W, Sun Y, Huang J, Luo J, Chen Y, Yang S, Zhou S. Post-ASPECTS and Post-PC-ASPECTS Predict the Outcome of Anterior and Posterior Ischemic Stroke Following Thrombectomy. Risk Manag Healthc Policy 2023; 16:2757-2769. [PMID: 38130745 PMCID: PMC10733595 DOI: 10.2147/rmhp.s436661] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 12/05/2023] [Indexed: 12/23/2023] Open
Abstract
Purpose In this study, we aimed to determine whether post-Alberta Stroke Project Early CT Changes Score (post-ASPECTS) in anterior stroke and post-(posterior circulation) PC-ASPECTS in posterior stroke on CT can predict post-endovascular thrombectomy (EVT) functional outcomes among patients with acute ischemic stroke (AIS) after EVT. Patients and Methods A total of 247 consecutive patients aged 18 and over receiving EVT for LVO-related AIS were recruited into a prospective database. The data was retrospectively analyzed between March 2019 and February 2022 from two comprehensive tertiary care stroke centers: Foshan Sanshui District People's Hospital and First People's Hospital of Foshan in China. Patient parameters included EVT within 24 hr of symptom onset, premorbid modified Rankin scale (mRS) ≤2, presence of distal and terminal cerebral blood vessel occlusion, and subsequent 24-72-hr post-stroke onset CT scan. Univariate comparisons were performed using the Fisher's exact test or χ2 test for categorical variables and the Mann-Whitney U-test for continuous variables. Logistic regression analysis was performed to further analyze for adjusting for confounding factors. A p-value of ≤0.05 was statistically significant. Results Overall, 236 individuals with 196 anterior circulation ischemic strokes and 40 posterior strokes of basilar artery occlusion were examined. Post-ASPECTS in anterior stroke and post-pc-ASPECTS as strong positive markers of favorable outcome at 90 days post-EVT; and lower rates of inpatient mortality/hospice discharge, 90-day mortality, and 90-day poor outcome were observed. Moreover, patients in the post-ASPECTS ≥ 7 cohort experienced shorter door-to-recanalization time (DRT), puncture-to-recanalization time (PRT), and last known normal-to-puncture time (LKNPT). Conclusion Post-ASPECTS ≥7 in anterior circulation AIS and post-pc-ASPECTS ≥7 in posterior circulation can serve as strong prognostic markers of functional outcome after EVT.
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Affiliation(s)
- Wenjun Liang
- Department of Neurology and Advanced National Stroke Center, Foshan Sanshui District People’s Hospital, Foshan, People’s Republic of China
| | - Angela T H Kwan
- Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Huifang Ye
- Department of Pharmacy, Foshan Sanshui District People’s Hospital, Foshan, People’s Republic of China
| | - Mohammad Mofatteh
- School of Medicine, Dentistry and Biomedical Sciences, Queen’s University Belfast, Belfast, United Kingdom
| | - Mingzhu Feng
- Department of Neurology and Advanced National Stroke Center, Foshan Sanshui District People’s Hospital, Foshan, People’s Republic of China
| | - Jack Wellington
- School of Medicine, Cardiff University, Cardiff, United Kingdom
| | - Pingzhong Fu
- Department of Radiology, Foshan Sanshui District People’s Hospital, Foshan, Guangdong Province, People’s Republic of China
| | - Wenlong Wei
- Department of Neurology and Advanced National Stroke Center, Foshan Sanshui District People’s Hospital, Foshan, People’s Republic of China
| | - Yu Sun
- Department of Neurology and Advanced National Stroke Center, Foshan Sanshui District People’s Hospital, Foshan, People’s Republic of China
| | - Jianhui Huang
- Department of Surgery of Cerebrovascular Diseases, First People’s Hospital of Foshan, Foshan, Guangdong Province, People’s Republic of China
| | - Jie Luo
- Department of Surgery of Cerebrovascular Diseases, First People’s Hospital of Foshan, Foshan, Guangdong Province, People’s Republic of China
| | - Yimin Chen
- Department of Neurology and Advanced National Stroke Center, Foshan Sanshui District People’s Hospital, Foshan, People’s Republic of China
| | - Shuiquan Yang
- Department of Neurology and Advanced National Stroke Center, Foshan Sanshui District People’s Hospital, Foshan, People’s Republic of China
| | - Sijie Zhou
- Department of Surgery of Cerebrovascular Diseases, First People’s Hospital of Foshan, Foshan, Guangdong Province, People’s Republic of China
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Liu Z, Zhang R, Ouyang K, Hou B, Cai Q, Xie Y, Liu Y. Predicting functional outcome in acute ischemic stroke patients after endovascular treatment by machine learning. Transl Neurosci 2023; 14:20220324. [PMID: 38035150 PMCID: PMC10685342 DOI: 10.1515/tnsci-2022-0324] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 11/01/2023] [Accepted: 11/03/2023] [Indexed: 12/02/2023] Open
Abstract
Background Endovascular therapy (EVT) was the standard treatment for acute ischemic stroke with large vessel occlusion. Prognosis after EVT is always a major concern. Here, we aimed to explore a predictive model for patients after EVT. Method A total of 156 patients were retrospectively enrolled. The primary outcome was functional dependence (defined as a 90-day modified Rankin Scale score ≤ 2). Least absolute shrinkage and selection operator and univariate logistic regression were used to select predictive factors. Various machine learning algorithms, including multivariate logistic regression, linear discriminant analysis, support vector machine, k-nearest neighbors, and decision tree algorithms, were applied to construct prognostic models. Result Six predictive factors were selected, namely, age, baseline National Institute of Health Stroke Scale (NIHSS) score, Alberta Stroke Program Early CT (ASPECT) score, modified thrombolysis in cerebral infarction score, symptomatic intracerebral hemorrhage (sICH), and complications (pulmonary infection, gastrointestinal bleeding, and cardiovascular events). Based on these variables, various models were constructed and showed good discrimination. Finally, a nomogram was constructed by multivariate logistic regression and showed a good performance. Conclusion Our nomogram, which was composed of age, baseline NIHSS score, ASPECT score, recanalization status, sICH, and complications, showed a very good performance in predicting outcome after EVT.
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Affiliation(s)
- Zhenxing Liu
- Department of Neurology, Zhongnan Hospital of Wuhan University, 169 Donghu Road, Wuchang District, 430071, Wuhan, Hubei, China
- Department of Neurology, Yiling Hospital of Yichang City, 443100, Yichang, Hubei, China
| | - Renwei Zhang
- Department of Neurology, Zhongnan Hospital of Wuhan University, 169 Donghu Road, Wuchang District, 430071, Wuhan, Hubei, China
| | - Keni Ouyang
- Department of Neurology, Zhongnan Hospital of Wuhan University, 169 Donghu Road, Wuchang District, 430071, Wuhan, Hubei, China
- Department of Neurology, Wuhan Fourth Hospital, 430033, Wuhan, Hubei, China
| | - Botong Hou
- Department of Neurology, Zhongnan Hospital of Wuhan University, 169 Donghu Road, Wuchang District, 430071, Wuhan, Hubei, China
- Department of Neurology, Wuhan Fourth Hospital, 430033, Wuhan, Hubei, China
| | - Qi Cai
- Department of Neurology, Zhongnan Hospital of Wuhan University, 169 Donghu Road, Wuchang District, 430071, Wuhan, Hubei, China
| | - Yu Xie
- Department of Neurology, Zhongnan Hospital of Wuhan University, 169 Donghu Road, Wuchang District, 430071, Wuhan, Hubei, China
| | - Yumin Liu
- Department of Neurology, Zhongnan Hospital of Wuhan University, 169 Donghu Road, Wuchang District, 430071, Wuhan, Hubei, China
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