1
|
Lee M, Suh CH, Sohn JH, Kim C, Han SW, Sung JH, Yu KH, Lim JS, Lee SH. Impact of white matter hyperintensity volumes estimated by automated methods using deep learning on stroke outcomes in small vessel occlusion stroke. Front Aging Neurosci 2024; 16:1399457. [PMID: 38974905 PMCID: PMC11224430 DOI: 10.3389/fnagi.2024.1399457] [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: 03/12/2024] [Accepted: 05/31/2024] [Indexed: 07/09/2024] Open
Abstract
Introduction Although white matter hyperintensity (WMH) shares similar vascular risk and pathology with small vessel occlusion (SVO) stroke, there were few studies to evaluate the impact of the burden of WMH volume on early and delayed stroke outcomes in SVO stroke. Materials and methods Using a multicenter registry database, we enrolled SVO stroke patients between August 2013 and November 2022. The WMH volume was estimated by automated methods using deep learning (VUNO Med-DeepBrain, Seoul, South Korea), which was a commercially available segmentation model. After propensity score matching (PSM), we evaluated the impact of WMH volume on early neurological deterioration (END) and poor functional outcomes at 3-month modified Ranking Scale (mRS), defined as mRS score >2 at 3 months, after an SVO stroke. Results Among 1,718 SVO stroke cases, the prevalence of subjects with severe WMH (Fazekas score ≥ 3) was 68.9%. After PSM, END and poor functional outcomes at 3-month mRS (mRS > 2) were higher in the severe WMH group (END: 6.9 vs. 13.5%, p < 0.001; 3-month mRS > 2: 11.4 vs. 24.7%, p < 0.001). The logistic regression analysis using the PSM cohort showed that total WMH volume increased the risk of END [odd ratio [OR], 95% confidence interval [CI]; 1.01, 1.00-1.02, p = 0.048] and 3-month mRS > 2 (OR, 95% CI; 1.02, 1.01-1.03, p < 0.001). Deep WMH was associated with both END and 3-month mRS > 2, but periventricular WMH was associated with 3-month mRS > 2 only. Conclusion This study used automated methods using a deep learning segmentation model to assess the impact of WMH burden on outcomes in SVO stroke. Our findings emphasize the significance of WMH burden in SVO stroke prognosis, encouraging tailored interventions for better patient care.
Collapse
Affiliation(s)
- Minwoo Lee
- Department of Neurology, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang, Republic of Korea
| | - Chong Hyun Suh
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Jong-Hee Sohn
- Department of Neurology, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon, Republic of Korea
- Institute of New Frontier Research Team, Hallym University, Chuncheon, Republic of Korea
| | - Chulho Kim
- Department of Neurology, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon, Republic of Korea
- Institute of New Frontier Research Team, Hallym University, Chuncheon, Republic of Korea
| | - Sang-Won Han
- Department of Neurology, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon, Republic of Korea
- Institute of New Frontier Research Team, Hallym University, Chuncheon, Republic of Korea
| | - Joo Hye Sung
- Department of Neurology, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon, Republic of Korea
- Institute of New Frontier Research Team, Hallym University, Chuncheon, Republic of Korea
| | - Kyung-Ho Yu
- Department of Neurology, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang, Republic of Korea
| | - Jae-Sung Lim
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Sang-Hwa Lee
- Department of Neurology, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon, Republic of Korea
- Institute of New Frontier Research Team, Hallym University, Chuncheon, Republic of Korea
| |
Collapse
|
2
|
He G, Fang H, Xue B, Wei L, Lu H, Deng J, Zhu Y. Impact of leukoaraiosis on the infarct growth rate and clinical outcome in acute large vessel occlusion stroke after endovascular thrombectomy. Eur Stroke J 2024; 9:338-347. [PMID: 38230536 DOI: 10.1177/23969873241226771] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2024] Open
Abstract
INTRODUCTION As a marker of chronic cerebral small vessel disease, leukoaraiosis (LA) was reported to impact the recruitment of collaterals in acute ischemic stroke (AIS). We intended to explore the impact of LA on the infarct growth rate (IGR) and clinical outcome by impaired collateral development in AIS patients with large vessel occlusion (LVO) who underwent endovascular thrombectomy (EVT). PATIENTS AND METHODS Two hundred thirty-six AIS patients who underwent EVT were retrospectively reviewed. The severity of LA was graded using the Fazekas scale with non-contrast CT. IGR was calculated by the acute core volume on CT perfusion divided by the time from stroke onset to imaging. The collateral status after LVO was assessed using the ASITN/SIR collateral scale. The clinical outcomes after EVT were evaluated using a modified Rankin Scale (mRS). The Alberta stroke program early CT score (ASPECTS), the National Institutes of Health Stroke Scale (NIHSS) score at admission, and the modified treatment in cerebral infarction (mTICI) score after EVT were also included. Correlations between those factors were analyzed. RESULTS Patients with severe LA had significantly larger core volume on CTP (p = 0.022) and lower collateral grade (p < 0.001). Faster IGR was significantly associated with higher LA severity (adjusted odds ratio [aOR]: 1.53; 95% CI: 1.02-2.33; p = 0.046), higher NIHSS (aOR: 1.04; 95% CI: 1.00-1.09; p = 0.032) and impaired collaterals (aOR: 2.26; 95% CI: 1.27-4.03; p = 0.005). In mediation analysis, collaterals explained 33% of the effect of LA on fast IGR. There was correlation between the severity of LA and mRS (p = 0.007). DISCUSSION AND CONCLUSION The increasing severity of LA is associated with impaired collateral status and fast infarct growth. These findings suggest that LA may become a predictive imaging biomarker for the likelihood of progression of tissue injury and clinical outcome after EVT in acute large vessel occlusion stroke.
Collapse
Affiliation(s)
- Guangchen He
- Department of Radiology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hui Fang
- Department of Radiology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Bo Xue
- Department of Neurology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Liming Wei
- Department of Radiology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Haitao Lu
- Department of Radiology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jiangshan Deng
- Department of Neurology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yueqi Zhu
- Department of Radiology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| |
Collapse
|
3
|
Xu XQ, Ma G, Wu FY. Editorial for "Development and Validation of a Fusion Model Based on Carotid Plaques and White Matter Lesion Burden Imaging Characteristics to Evaluate Ischemic Stroke Severity in Symptomatic Patients". J Magn Reson Imaging 2024. [PMID: 38761006 DOI: 10.1002/jmri.29441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2024] [Accepted: 04/10/2024] [Indexed: 05/20/2024] Open
Affiliation(s)
- Xiao-Quan Xu
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Gao Ma
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Fei-Yun Wu
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| |
Collapse
|
4
|
Fang H, Bo Y, Hao Z, Mang G, Jin J, Wang H. A promising frontier: targeting NETs for stroke treatment breakthroughs. Cell Commun Signal 2024; 22:238. [PMID: 38654328 PMCID: PMC11036592 DOI: 10.1186/s12964-024-01563-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Accepted: 03/07/2024] [Indexed: 04/25/2024] Open
Abstract
Stroke is a prevalent global acute cerebrovascular condition, with ischaemic stroke being the most frequently occurring type. After a stroke, neutrophils accumulate in the brain and subsequently generate and release neutrophil extracellular traps (NETs). The accumulation of NETs exacerbates the impairment of the blood‒brain barrier (BBB), hampers neovascularization, induces notable neurological deficits, worsens the prognosis of stroke patients, and can facilitate the occurrence of t-PA-induced cerebral haemorrhage subsequent to ischaemic stroke. Alternative approaches to pharmacological thrombolysis or endovascular thrombectomy are being explored, and targeting NETs is a promising treatment that warrants further investigation.
Collapse
Affiliation(s)
- Huijie Fang
- Department of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150001, China
| | - Yunfei Bo
- Department of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150001, China
| | - Zhongfei Hao
- Department of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150001, China
| | - Ge Mang
- Department of Cardiology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Jiaqi Jin
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
| | - Hongjun Wang
- Department of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150001, China.
| |
Collapse
|
5
|
Liu C, Zhuo Z, Qu L, Jin Y, Hua T, Xu J, Tan G, Li Y, Duan Y, Wang T, Zhang Z, Zhang Y, Chen R, Yu P, Zhang P, Shi Y, Zhang J, Tian D, Li R, Zhang X, Shi F, Wang Y, Jiang J, Carass A, Liu Y, Ye C. DeepWMH: A deep learning tool for accurate white matter hyperintensity segmentation without requiring manual annotations for training. Sci Bull (Beijing) 2024; 69:872-875. [PMID: 38320896 DOI: 10.1016/j.scib.2024.01.034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2024]
Affiliation(s)
- Chenghao Liu
- School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing 100081, China
| | - Zhizheng Zhuo
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Liying Qu
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Ying Jin
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Tiantian Hua
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Jun Xu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Guirong Tan
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Yuna Li
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Yunyun Duan
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Tingting Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Zaiqiang Zhang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Yanling Zhang
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Rui Chen
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Pinnan Yu
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Peixin Zhang
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Yulu Shi
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Jianguo Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China; Beijing Key Laboratory of Neurostimulation, Beijing 100070, China
| | - Decai Tian
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China; China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Beijing 100070, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100070, China
| | - Runzhi Li
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China; China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Beijing 100070, China
| | - Xinghu Zhang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Fudong Shi
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China; China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Beijing 100070, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100070, China
| | - Yanli Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100070, China
| | - Jiwei Jiang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China; China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Beijing 100070, China
| | - Aaron Carass
- Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore 21205, USA
| | - Yaou Liu
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.
| | - Chuyang Ye
- School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing 100081, China.
| |
Collapse
|
6
|
Park JW, Kim JT, Lee JS, Kim BJ, Yoo J, Han JH, Kim BJ, Kim CK, Kim JG, Baik SH, Park JM, Kang K, Lee SJ, Park H, Cha JK, Park TH, Lee K, Lee J, Hong KS, Lee BC, Kim DE, Choi JC, Kwon JH, Shin DI, Sohn SI, Lee SH, Ryu WS, Lee J, Bae HJ. Brain Frailty and Outcomes of Acute Minor Ischemic Stroke With Large-Vessel Occlusion. J Clin Neurol 2024; 20:175-185. [PMID: 38171505 PMCID: PMC10921043 DOI: 10.3988/jcn.2023.0181] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 06/30/2023] [Accepted: 07/04/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND AND PURPOSE The influence of imaging features of brain frailty on outcomes were investigated in acute ischemic stroke patients with minor symptoms and large-vessel occlusion (LVO). METHODS This was a retrospective analysis of a prospective, multicenter, nationwide registry of consecutive patients with acute (within 24 h) minor (National Institutes of Health Stroke Scale score=0-5) ischemic stroke with anterior circulation LVO (acute minor LVO). Brain frailty was stratified according to the presence of an advanced white-matter hyperintensity (WMH) (Fazekas grade 2 or 3), silent/old brain infarct, or cerebral microbleeds. The primary outcome was a composite of stroke, myocardial infarction, and all-cause mortality within 1 year. RESULTS In total, 1,067 patients (age=67.2±13.1 years [mean±SD], 61.3% males) were analyzed. The proportions of patients according to the numbers of brain frailty burdens were as follows: no burden in 49.2%, one burden in 30.0%, two burdens in 17.3%, and three burdens in 3.5%. In the Cox proportional-hazards analysis, the presence of more brain frailty burdens was associated with a higher risk of 1-year primary outcomes, but after adjusting for clinically relevant variables there were no significant associations between burdens of brain frailty and 1-year vascular outcomes. For individual components of brain frailty, an advanced WMH was independently associated with an increased risk of 1-year primary outcomes (adjusted hazard ratio [aHR]=1.33, 95% confidence interval [CI]=1.03-1.71) and stroke (aHR=1.32, 95% CI=1.00-1.75). CONCLUSIONS The baseline imaging markers of brain frailty were common in acute minor ischemic stroke patients with LVO. An advanced WMH was the only frailty marker associated with an increased risk of vascular events. Further research is needed into the association between brain frailty and prognosis in patients with acute minor LVO.
Collapse
Affiliation(s)
- Je-Woo Park
- Department of Neurology, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, Korea
| | - Joon-Tae Kim
- Department of Neurology, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, Korea.
| | - Ji Sung Lee
- Clinical Research Center, Asan Institute for Life Sciences, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Beom Joon Kim
- Department of Neurology, Cerebrovascular Center, Seoul National University Bundang Hospital, Seongnam, Korea.
| | - Joonsang Yoo
- Department of Neurology, Yongin Severance Hospital, Yongin, Korea
| | - Jung Hoon Han
- Department of Neurology, Korea University Guro Hospital, Seoul, Korea
| | - Bum Joon Kim
- Department of Neurology, Asan Medical Center, Seoul, Korea
| | - Chi Kyung Kim
- Department of Neurology, Korea University Guro Hospital, Seoul, Korea
| | - Jae Guk Kim
- Department of Neurology, Daejeon Eulji Medical Center, Eulji University School of Medicine, Daejeon, Korea
| | - Sung Hyun Baik
- Department of Radiology, Seoul National University Bundang Hospital, Seongnam, Korea
| | - Jong-Moo Park
- Department of Neurology, Uijeongbu Eulji Medical Center, Eulji University School of Medicine, Uijeongbu, Korea
| | - Kyusik Kang
- Department of Neurology, Nowon Eulji Medical Center, Eulji University School of Medicine, Seoul, Korea
| | - Soo Joo Lee
- Department of Neurology, Daejeon Eulji Medical Center, Eulji University School of Medicine, Daejeon, Korea
| | - Hyungjong Park
- Department of Neurology, Keimyung University Dongsan Medical Center, Keimyung University School of Medicine, Daegu, Korea
| | - Jae-Kwan Cha
- Department of Neurology, Dong-A University Hospital, Busan, Korea
| | - Tai Hwan Park
- Department of Neurology, Seoul Medical Center, Seoul, Korea
| | - Kyungbok Lee
- Department of Neurology, Soonchunhyang University Seoul Hospital, Soonchunhyang University College of Medicine, Seoul, Korea
| | - Jun Lee
- Department of Neurology, Yeungnam University Medical Center, Daegu, Korea
| | - Keun-Sik Hong
- Department of Neurology, Inje University Ilsan Paik Hospital, Goyang, Korea
| | - Byung-Chul Lee
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, Korea
| | - Dong-Eog Kim
- Department of Neurology, Dongguk University Ilsan Hospital, Goyang, Korea
| | - Jay Chol Choi
- Department of Neurology, Jeju National University Hospital, Jeju National University School of Medicine, Jeju, Korea
| | - Jee-Hyun Kwon
- Department of Neurology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Korea
| | - Dong-Ick Shin
- Department of Neurology, Chungbuk National University Hospital, Cheongju, Korea
| | - Sung Il Sohn
- Department of Neurology, Keimyung University Dongsan Medical Center, Keimyung University School of Medicine, Daegu, Korea
| | - Sang-Hwa Lee
- Department of Neurology, Hallym University Chuncheon Sacred Heart Hospital, Chuncheon, Korea
| | - Wi-Sun Ryu
- Artificial Intelligence Research Center, JLK Inc., Seoul, Korea
| | - Juneyoung Lee
- Department of Biostatistics, Korea University, Seoul, Korea
| | - Hee-Joon Bae
- Department of Neurology, Cerebrovascular Center, Seoul National University Bundang Hospital, Seongnam, Korea
| |
Collapse
|
7
|
Fan H, Wei L, Zhao X, Zhu Z, Lu W, Roshani R, Huang K. White matter hyperintensity burden and functional outcomes in acute ischemic stroke patients after mechanical thrombectomy: A systematic review and meta-analysis. Neuroimage Clin 2023; 41:103549. [PMID: 38071889 PMCID: PMC10750174 DOI: 10.1016/j.nicl.2023.103549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 11/13/2023] [Accepted: 12/03/2023] [Indexed: 12/29/2023]
Abstract
BACKGROUND The influence of white matter hyperintensity (WMH) on clinical outcomes in acute ischemic stroke (AIS) patients treated with mechanical thrombectomy (MT) remains controversial. We performed a systematic review and meta-analysis to examine whether WMH burden is associated with clinical outcomes in AIS patients after MT. METHODS PubMed, Embase, and Web of Science were searched from inception to Sep 03, 2023. The registration number for PROSPERO is CRD42022340568. Studies reporting an association between the burden of WMH in AIS patients and clinical outcomes after MT were included in the meta-analysis. A random-effects model was used for meta-analysis. The quality of the included studies was assessed using the Newcastle-Ottawa Scale. Additionally, the presence of imprecise-study effects was evaluated using Egger's test and funnel plot. RESULTS Fifteen studies with 3,456 patients were enrolled in this meta-analysis. Among AIS patients who underwent MT, moderate/severe WMH had higher odds of 90-day unfavorable functional outcomes (odds ratio [OR] 2.72, 95% confidence interval [CI] 2.14-3.44; I2 = 0.0%; 95% CI 0.0%-42.7%), 90-day mortality (OR 1.94, 95% CI 1.45-2.60; I2 = 19.5%; 95% CI 0.0%-65.2%) and futile recanalization (OR 2.99, 95% CI 1.42-6.28; I2 = 69.7%; 95% CI 0.0%-91.0%) compared with none/mild WMH. However, the two groups had no significant difference in successful recanalization, symptomatic hemorrhagic transformation, and hemorrhagic transformation. A subset analysis of patients from 3 articles showed that WMH volume was not significantly associated with these outcomes. A notable limitation is that this meta-analysis lacks direct adjustment for imbalances in important baseline covariates. CONCLUSIONS Patients with moderate/severe WMH on baseline imaging are associated with substantially increased odds of 90-day unfavorable outcomes, futile recanalization, and 90-day mortality after MT. This association suggests that moderate/severe WMH may contribute to the prediction of clinical outcomes in AIS patients after MT.
Collapse
Affiliation(s)
- Huanhuan Fan
- Department of Neurology, Nanfang Hospital, Southern Medical University, China
| | - Lihua Wei
- Department of Neurology, Nanfang Hospital, Southern Medical University, China
| | - Xiaolin Zhao
- Department of Neurology, Nanfang Hospital, Southern Medical University, China
| | - Zhiliang Zhu
- Department of Neurology, Nanfang Hospital, Southern Medical University, China
| | - Wenting Lu
- Department of Neurology, Nanfang Hospital, Southern Medical University, China
| | - Ramzi Roshani
- Department of Neurology, Nanfang Hospital, Southern Medical University, China
| | - Kaibin Huang
- Department of Neurology, Nanfang Hospital, Southern Medical University, China.
| |
Collapse
|
8
|
Zhang X, Li Y, Huang Z, Chen S, E Y, Zhang Y, Wang Q, Li T. Association between Citrullinated Histone H3 and White Matter Lesions Burden in Patients with Ischemic Stroke. Brain Sci 2023; 13:991. [PMID: 37508923 PMCID: PMC10377232 DOI: 10.3390/brainsci13070991] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 06/20/2023] [Accepted: 06/23/2023] [Indexed: 07/30/2023] Open
Abstract
INTRODUCTION Neutrophil extracellular traps play a role in the pathophysiology of stroke and are associated with severity and mortality. We aimed to investigate whether the citrullinated histone H3 (CitH3), a biomarker for neutrophil extracellular traps formation, is associated with the white matter lesion (WML) burden in ischemic stroke patients. METHODS Between September 2021 and April 2022, 322 patients were enrolled in this prospective observational cohort study. Serum CitH3 levels were measured after admission using an enzyme-linked immunosorbent assay. WMLs severity was graded according to the Fazekas scale and conceptually defined as mild (total Fazekas score 0-2) and severe (total Fazekas score 3-6). We used multivariable regression models to determine the relationship between CitH3 concentrations and the severity of WMLs burden. RESULTS One-hundred and forty-eight (46.0%) patients were diagnosed with severe WMLs burden after admission. Increased CitH3 levels (first quartile vs. fourth quartile of H3Cit, odds ratio, 3.311, 95% confidence interval, 1.336-8.027; p = 0.011) were independently associated with a greater WML burden in the fully adjusted multivariable model. Similar results were found when the H3Cit was analyzed as a continuous variable. Furthermore, the multiple-adjusted spline regression model showed a linear association between H3Cit levels and severe WMLs (P = 0.001 for linearity). CONCLUSIONS In the present study, increased CitH3 levels were positively associated with extensive WMLs in ischemic stroke patients, indicating a role of neutrophil extracellular traps formation in the pathogenesis of WMLs.
Collapse
Affiliation(s)
- Xiaohao Zhang
- Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing 210002, China
| | - Yunzi Li
- Department of Neurology, Jinling Hospital, Medical School of Nanjing University, Nanjing 210002, China
| | - Zhenqian Huang
- Department of Neurology, Jinling Hospital, Medical School of Nanjing University, Nanjing 210002, China
| | - Shuaiyu Chen
- Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing 210002, China
| | - Yan E
- Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing 210002, China
| | - Yingdong Zhang
- Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing 210002, China
| | - Qingguang Wang
- Department of Neurology, Jiangyin Hospital Affiliated to Nantong University, Jiangyin 214400, China
| | - Tingting Li
- Department of Neurology, The Second Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210017, China
| |
Collapse
|
9
|
Fu W, Yan L, Hou Z, Yu Y, Zhang W, Cui R, Gao F, Mo D, Lou X, Miao Z, Ma N. Impact of cerebral small vessel disease on symptomatic in-stent restenosis in intracranial atherosclerosis. J Neurosurg 2023; 138:750-759. [PMID: 35962963 DOI: 10.3171/2022.6.jns221103] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Accepted: 06/09/2022] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Cerebral small vessel disease (CSVD) commonly coexists with intracranial atherosclerotic stenosis (ICAS). In-stent restenosis (ISR) affects the nonprocedural outcome of severe symptomatic ICAS after intracranial stenting. However, only 8%-27% of ISR patients are symptomatic, which highlights the importance of the investigation of risk factors associated with symptomatic ISR (SISR) to improve long-term functional outcome. Whether CSVD is associated with SISR remains unclear. The authors tested the hypothesis that CSVD is associated with SISR in ICAS patients after intracranial stenting. METHODS This retrospective study enrolled 97 patients who were symptomatic due to severe anterior circulation ICAS treated with intracranial stenting. SISR was evaluated with clinical and vascular imaging follow-up. CSVD subtypes, including white matter hyperintensities (WMHs), enlarged perivascular spaces, and chronic lacunar infarctions, were evaluated. Cox regression analysis was used to compare the incidence of SISR between patients with and without CSVD. RESULTS Of the enrolled patients, 58.8% had CSVD. The 1- and 2-year ISR rates were 24.7% and 37.1%, respectively. Of the CSVD subtypes, SISR was associated with deep WMHs (DWMHs; HR 5.39, 95% CI 1.02-28.44). DWMH Fazekas scale grades 2 (HR 85.54, 95% CI 2.42-3018.93) and 3 (HR 66.24, 95% CI 1.87-2352.32) were associated with SISR, but DWMH Fazekas grades 0 and 1 were not. The proportions of SISR in patients with DWMH Fazekas grades 0, 1, 2, and 3 were 16.7%, 33.3%, 50%, and 100%, respectively. CONCLUSIONS Patients with CSVD have a higher risk of SISR than those without CSVD. Of the CSVD subtypes, patients with DWMHs are associated with SISR. The DWMH Fazekas scale score is considered to be a predictor for SISR.
Collapse
Affiliation(s)
- Weilun Fu
- 1Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Capital Medical University, Beijing.,2China National Clinical Research Center for Neurological Diseases, Beijing
| | - Long Yan
- 1Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Capital Medical University, Beijing.,2China National Clinical Research Center for Neurological Diseases, Beijing
| | - Zhikai Hou
- 1Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Capital Medical University, Beijing.,2China National Clinical Research Center for Neurological Diseases, Beijing
| | - Ying Yu
- 1Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Capital Medical University, Beijing.,2China National Clinical Research Center for Neurological Diseases, Beijing
| | - Weiyi Zhang
- 3Department of Neurology, Fuxing Hospital, The Eighth Clinical Medical College, Capital Medical University, Beijing; and
| | - RongRong Cui
- 1Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Capital Medical University, Beijing.,2China National Clinical Research Center for Neurological Diseases, Beijing
| | - Feng Gao
- 1Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Capital Medical University, Beijing.,2China National Clinical Research Center for Neurological Diseases, Beijing
| | - Dapeng Mo
- 1Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Capital Medical University, Beijing.,2China National Clinical Research Center for Neurological Diseases, Beijing
| | - Xin Lou
- 4Department of Radiology, Chinese PLA General Hospital, Beijing, China
| | - Zhongrong Miao
- 1Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Capital Medical University, Beijing.,2China National Clinical Research Center for Neurological Diseases, Beijing
| | - Ning Ma
- 1Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Capital Medical University, Beijing.,2China National Clinical Research Center for Neurological Diseases, Beijing
| |
Collapse
|
10
|
Shi G, Ke D, Gong P, Yu P, Zhou J, Wang M, Zhang X, Wang X, Guo M, Xu M, Zhou R. Serum YKL-40 Levels and White Matter Hyperintensities in Patients with Acute Ischemic Stroke. J Inflamm Res 2023; 16:311-319. [PMID: 36721527 PMCID: PMC9884433 DOI: 10.2147/jir.s398701] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 01/18/2023] [Indexed: 01/25/2023] Open
Abstract
Background White matter hyperintensity (WMH) is associated with risk of acute ischemic stroke (AIS) and poor outcomes after AIS. The purpose of this prospective study was to evaluate the association between serum YKL-40 levels and WMH burden in patients with AIS. Methods From February 2020 to March 2021, a total of 672 consecutive AIS patients with magnetic resonance imaging data were prospectively recruited form two centers. Serum YKL-40 levels were quantified using enzyme-linked immunosorbent assay. The burden of WMH was semiquantitatively measured by the Fazekas visual grading scale. According to severity of overall WMH, patients were dichotomized into none-mild WMH group (Fazekas score 0-2) or moderate-severe WMH group (Fazekas score 3-6). Besides, based on severity of periventricular WMH (PV-WMH) and deep WMH (D-WMH), patients were categorized as none-mild (Fazekas score 0-1) or moderate-severe (Fazekas score 2-3). Results Among the 672 patients, 335 (49.9%) participants were identified with moderate-severe overall WMH, 326 (48.5%) with moderate-severe PV-WMH and 262 (39.0%) with moderate-severe D-WMH. Compared with the first quartile of serum YKL-40, the adjusted odds ratio (OR) of the fourth quartile for moderate-severe PV-WMH was 2.473 (95% confidence interval [CI] 1.316-4.646; P=0.005). No significant association was observed between YKL-40 and overall WMH (OR 0.762; 95% CI 0.434-1.336; P=0.343) or D-WMH (OR 0.695; 95% CI 0.413-1.171; P=0.172). Conclusion Our results suggested that higher YKL-40 levels appeared to be associated with PV-WMH, but not with overall WMH or D-WMH in patients with AIS.
Collapse
Affiliation(s)
- Guomei Shi
- Department of Neurology, the Taixing People’s Hospital, Taixing, Jiangsu, People’s Republic of China,Stroke Center, the Taixing People’s Hospital, Taixing, Jiangsu, People’s Republic of China
| | - Dongdong Ke
- Stroke Center, the Taixing People’s Hospital, Taixing, Jiangsu, People’s Republic of China,Department of Rehabilitation, the Taixing People’s Hospital, Taixing, Jiangsu, People’s Republic of China
| | - Pengyu Gong
- Department of Neurology, Affiliated Hospital of Nantong University, Nantong, Jiangsu, People’s Republic of China,Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, People’s Republic of China
| | - Peng Yu
- Stroke Center, the Taixing People’s Hospital, Taixing, Jiangsu, People’s Republic of China,Department of Radiology, the Taixing People’s Hospital, Taixing, Jiangsu, People’s Republic of China
| | - Junshan Zhou
- Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, People’s Republic of China
| | - Meng Wang
- Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, People’s Republic of China
| | - Xiaohao Zhang
- Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, People’s Republic of China
| | - Xiaorong Wang
- Department of Neurology, the Taixing People’s Hospital, Taixing, Jiangsu, People’s Republic of China,Stroke Center, the Taixing People’s Hospital, Taixing, Jiangsu, People’s Republic of China
| | - Minwang Guo
- Department of Neurology, the Taixing People’s Hospital, Taixing, Jiangsu, People’s Republic of China,Stroke Center, the Taixing People’s Hospital, Taixing, Jiangsu, People’s Republic of China
| | - Mingyang Xu
- Department of Neurology, the Taixing People’s Hospital, Taixing, Jiangsu, People’s Republic of China,Stroke Center, the Taixing People’s Hospital, Taixing, Jiangsu, People’s Republic of China
| | - Rujuan Zhou
- Department of Neurology, the Taixing People’s Hospital, Taixing, Jiangsu, People’s Republic of China,Stroke Center, the Taixing People’s Hospital, Taixing, Jiangsu, People’s Republic of China,Correspondence: Rujuan Zhou, Tel +86-13951158499, Email
| |
Collapse
|