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Sato Y, Li Y, Kato Y, Kanoke A, Sun JY, Nishijima Y, Wang RK, Stryker M, Endo H, Liu J. Type 2 diabetes remodels collateral circulation and promotes leukocyte adhesion following ischemic stroke. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.10.23.619748. [PMID: 39484619 PMCID: PMC11526934 DOI: 10.1101/2024.10.23.619748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/03/2024]
Abstract
Type 2 diabetes mellitus (T2DM) is associated with impaired leptomeningeal collateral compensation and poor stroke outcome. Neutrophils tethering and rolling on endothelium after stroke can also independently reduce flow velocity. However, the chronology and topological changes in collateral circulation in T2DM is not yet defined. Here, we describe the spatial and temporal blood flow dynamics and vessel remodeling in pial arteries and veins and leukocyte- endothelial adhesion following middle cerebral artery (MCA) stroke using two-photon microscopy in awake control and T2DM mice. Relative to control mice prior to stroke, T2DM mice already exhibited smaller pial vessels with reduced flow velocity. Following stroke, T2DM mice displayed persistently reduced blood flow in pial arteries and veins, resulting in a poor recovery of downstream penetrating arterial flow and a sustained deficit in microvascular flow. There was also persistent increase of leukocyte adhesion to the endothelium of veins, coincided with elevated neutrophils infiltration into brain parenchyma in T2DM mice compared to control mice after stroke. Our data suggest that T2DM-induced increase in chronic inflammation may contribute to the remodeling of leptomeningeal collateral circulation and the observed hemodynamics deficiency that potentiates poor stroke outcome. Highlights Blood flow and leukocyte imaging in awake mice by two-photon microscopy before and after stroke under physiological conditionsT2DM induces collateral remodeling prior to strokeT2DM reduces blood flow and impedes recovery in pial arteries and veins after ischemic strokePoor recovery of penetrating arterial flow and sustained deficit in microvascular flow after ischemic stroke in T2DM miceT2DM increases persistent leukocyte adhesion to endothelium of veins and elevates neutrophils infiltration into the brain parenchyma after ischemic stroke.
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Hsieh MT, Hsieh CY, Yang TH, Sung SF, Hsieh YC, Lee CW, Lin CJ, Chen YW, Lin KH, Sung PS, Tang CW, Chu HJ, Tsai KC, Chou CL, Lin CH, Wei CY, Chen TY, Yan SY, Chen PL, Hsiao CY, Chan L, Huang YC, Liu HM, Tang SC, Lee IH, Lien LM, Chiou HY, Lee JT, Jeng JS. Associations of diabetes status and glucose measures with outcomes after endovascular therapy in patients with acute ischemic stroke: an analysis of the nationwide TREAT-AIS registry. Front Neurol 2024; 15:1351150. [PMID: 38813247 PMCID: PMC11135283 DOI: 10.3389/fneur.2024.1351150] [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: 12/06/2023] [Accepted: 04/03/2024] [Indexed: 05/31/2024] Open
Abstract
Background Hyperglycemia affects the outcomes of endovascular therapy (EVT) for acute ischemic stroke (AIS). This study compares the predictive ability of diabetes status and glucose measures on EVT outcomes using nationwide registry data. Methods The study included 1,097 AIS patients who underwent EVT from the Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke. The variables analyzed included diabetes status, admission glucose, glycated hemoglobin (HbA1c), admission glucose-to-HbA1c ratio (GAR), and outcomes such as 90-day poor functional outcome (modified Rankin Scale score ≥ 2) and symptomatic intracranial hemorrhage (SICH). Multivariable analyses investigated the independent effects of diabetes status and glucose measures on outcomes. A receiver operating characteristic (ROC) analysis was performed to compare their predictive abilities. Results The multivariable analysis showed that individuals with known diabetes had a higher likelihood of poor functional outcomes (odds ratios [ORs] 2.10 to 2.58) and SICH (ORs 3.28 to 4.30) compared to those without diabetes. Higher quartiles of admission glucose and GAR were associated with poor functional outcomes and SICH. Higher quartiles of HbA1c were significantly associated with poor functional outcomes. However, patients in the second HbA1c quartile (5.6-5.8%) showed a non-significant tendency toward good functional outcomes compared to those in the lowest quartile (<5.6%). The ROC analysis indicated that diabetes status and admission glucose had higher predictive abilities for poor functional outcomes, while admission glucose and GAR were better predictors for SICH. Conclusion In AIS patients undergoing EVT, diabetes status, admission glucose, and GAR were associated with 90-day poor functional outcomes and SICH. Admission glucose was likely the most suitable glucose measure for predicting outcomes after EVT.
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Affiliation(s)
- Meng-Tsang Hsieh
- Stroke Center and Department of Neurology, Chi-Mei Medical Center, Tainan, Taiwan
- Stroke Center and Department of Neurology, E-Da Hospital, Kaohsiung, Taiwan
| | - Cheng-Yang Hsieh
- Department of Neurology, Tainan Sin Lau Hospital, Tainan, Taiwan
| | - Tzu-Hsien Yang
- Department of Radiology, Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chiayi City, Taiwan
| | - Sheng-Feng Sung
- Division of Neurology, Department of Internal Medicine, Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chiayi City, Taiwan
| | - Yi-Chen Hsieh
- Program in Medical Neuroscience, Taipei Medical University, Taipei, Taiwan
| | - Chung-Wei Lee
- Department of Medical Imaging, National Taiwan University Hospital, Taipei, Taiwan
| | - Chun-Jen Lin
- Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Yu-Wei Chen
- Department of Neurology, Landseed International Hospital, Taoyuan, Taiwan
| | - Kuan-Hung Lin
- Department of Neurology, Chi Mei Medical Center, Tainan, Taiwan
| | - Pi-Shan Sung
- Department of Neurology, National Cheng Kung University Hospital, Tainan, Taiwan
| | - Chih-Wei Tang
- Department of Neurology, Far Eastern Memorial Hospital, New Taipei City, Taiwan
| | - Hai-Jui Chu
- Department of Neurology, En Chu Kong Hospital, New Taipei City, Taiwan
| | - Kun-Chang Tsai
- Department of Neurology, National Taiwan University Hospital, Hsinchu, Taiwan
| | - Chao-Liang Chou
- Department of Neurology, Mackay Memorial Hospital, Taipei, Taiwan
| | - Ching-Huang Lin
- Department of Neurology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
| | - Cheng-Yu Wei
- Department of Neurology, Chang Bing Show Chwan Memorial Hospital, Changhwa County, Taiwan
| | - Te-Yuan Chen
- Department of Neurosurgery, E-Da Hospital, I-Shou University, Kaohsiung, Taiwan
| | - Shang-Yih Yan
- Department of Neurology, Tri Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Po-Lin Chen
- Department of Neurology, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Chen-Yu Hsiao
- Department of Diagnostic Radiology, Shin Kong WHS Memorial Hospital, Taipei, Taiwan
| | - Lung Chan
- Department of Neurology, Taipei Medical University–Shuang Ho Hospital, New Taipei City, Taiwan
| | - Yen-Chu Huang
- Department of Neurology, Chang Gung University College of Medicine, Chang Gung Memorial Hospital, Chiayi, Taiwan
| | - Hon-Man Liu
- Department of Medical Imaging, Fu Jen Catholic University Hospital, New Taipei City, Taiwan
| | - Sung-Chun Tang
- Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan
| | - I-Hui Lee
- Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Li-Ming Lien
- Department of Neurology, Shin Kong WHS Memorial Hospital, Taipei, Taiwan
| | - Hung-Yi Chiou
- School of Public Health, College of Public Health, Taipei Medical University, Taipei, Taiwan
- Institute of Population Health Sciences, National Health Research Institutes, Miaoli County, Taiwan
| | - Jiunn-Tay Lee
- Department of Neurology, Tri Service General Hospital, National Defense Medical Center, Taipei, Taiwan
- Institute of Population Health Sciences, National Health Research Institutes, Miaoli County, Taiwan
| | - Jiann-Shing Jeng
- Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan
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Berehan HB, Dessie ZG, Tesfaw LM. Exploring functional abilities and competing risks among stroke patients: a longitudinal and survival analysis study at Felege Hiwot Referral Hospital, Ethiopia. BMJ Open 2024; 14:e073384. [PMID: 38697761 PMCID: PMC11086538 DOI: 10.1136/bmjopen-2023-073384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Accepted: 04/15/2024] [Indexed: 05/05/2024] Open
Abstract
OBJECTIVES This study aimed to evaluate competing risks and functional ability measures among patients who had a stroke. DESIGN A joint model comprising two related submodels was applied: a cause-specific hazard submodel for competing drop-out and stroke-related death risks, and a partial proportional odd submodel for longitudinal functional ability. SETTING Felege Hiwot Referral Hospital, Ethiopia. PARTICIPANTS The study included 400 patients who had a stroke from the medical ward outpatient stroke unit at Felege Hiwot Referral Hospital, who were treated from September 2018 to August 2021. RESULTS Among the 400 patients who had a stroke, 146 (36.5%) died and 88 (22%) dropped out. At baseline, 14% of patients had no symptoms and/or disability while 24% had slight disability, and 25% had severe disability. Most patients (37.04%) exhibited moderate functional ability. The presence of diabetes increased the cause-specific hazard of death by 3.95 times (95% CI 2.16 to 7.24) but decreased the cause-specific hazard of drop-out by 95% (aHR 0.05; 95% CI 0.01 to 0.46) compared with non-diabetic patients who had a stroke. CONCLUSION A substantial proportion of patients who had a stroke experienced mortality and drop-out during the study period, highlighting the importance of considering competing risks in stroke research. Age, diabetes, white cell count and stroke complications were significant covariates affecting both longitudinal and survival submodels. Compared with stand-alone models, the joint competing risk modelling technique offers comprehensive insights into the disease's transition pattern.
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Affiliation(s)
| | - Zelalem G Dessie
- School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Durban, South Africa
- Department of Statistics, Bahir Dar University, Bahir Dar, Ethiopia
| | - Lijalem Melie Tesfaw
- Department of Statistics, Bahir Dar University, Bahir Dar, Ethiopia
- Epidemiology and Biostatistics Division, The University of Queensland, Brisbane, Queensland, Australia
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Alhazmi H, Ameen OK, Almalki Z, Alanazi A, Albalawi A, Alshanqiti M, Almalki K, Alsaleh A, Khayat A, Ibrahim H, Almulhim IA, Jubran A, Almodarra N, Almansour N, Alnaaim SA, Al-Senani F, Shuaib A, Muthana J, Alotaibi M. Endovascular thrombectomy for acute ischemic stroke in Saudi Arabia: A single-center experience. J Stroke Cerebrovasc Dis 2024; 33:107552. [PMID: 38277959 DOI: 10.1016/j.jstrokecerebrovasdis.2023.107552] [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: 07/23/2023] [Revised: 12/17/2023] [Accepted: 12/22/2023] [Indexed: 01/28/2024] Open
Abstract
PURPOSE This study aimed to investigate the outcomes of endovascular thrombectomy-treated patients in King Fahad Medical City, Riyadh, Saudi Arabia. METHODS A retrospective cohort study of acute ischemic stroke patients treated with endovascular thrombectomy. Patients were included in the study between January 2015 and December 2022. Good outcomes were defined as a modified Rankin Scale (mRS) of 0-2 at 90 days. Multivariate logistic regression analysis was performed to identify the independent factors associated with good outcomes. RESULTS During the study period, 369 patients with acute ischemic stroke (mean ± SD age, 61/- 15.1 yrs; 55.4 % male) underwent mechanical thrombectomy. Median National Institute of Health Stroke Scale (NIHSS) 15. Intravenous thrombolysis was administered to 34.5 % of the patients. Successful recanalization in the anterior circulation was achieved in 84.8 % of patients. Data from mRS performed after 90 days in the anterior circulation were available for 71.2 % of the patients. Of these, 41 % showed a good outcome, and the mortality rate was 22.4 %. The significant factors associated with good outcomes were age, NIHSS score, Alberta Stroke Program Early Computed Tomography Score (ASPECTS), and short arterial puncture to recanalization. CONCLUSION The number of patients who underwent endovascular thrombectomy has increased over time. The treatment outcomes and mortality were comparable with those of previous endovascular thrombectomy registries despite the high prevalence of DM, lower ASPECT score, and prolonged onset-to-recanalization time.
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Affiliation(s)
- Hanan Alhazmi
- National Neuroscience Institute, King Fahad Medical City, Riyadh, Saudi Arabia.
| | - Omar K Ameen
- National Neuroscience Institute, King Fahad Medical City, Riyadh, Saudi Arabia
| | - Ziyad Almalki
- Department of Clinical Pharmacy, College of Pharmacy, Prince Sattam bin Abdulaziz University, Alkharj 11942, Saudi Arabia
| | - Abdulmajeed Alanazi
- National Neuroscience Institute, King Fahad Medical City, Riyadh, Saudi Arabia
| | - Ali Albalawi
- National Neuroscience Institute, King Fahad Medical City, Riyadh, Saudi Arabia
| | - Mahmoud Alshanqiti
- National Neuroscience Institute, King Fahad Medical City, Riyadh, Saudi Arabia
| | - Khalid Almalki
- National Neuroscience Institute, King Fahad Medical City, Riyadh, Saudi Arabia
| | - Ali Alsaleh
- National Neuroscience Institute, King Fahad Medical City, Riyadh, Saudi Arabia
| | - Alaa Khayat
- National Neuroscience Institute, King Fahad Medical City, Riyadh, Saudi Arabia
| | - Hatim Ibrahim
- National Neuroscience Institute, King Fahad Medical City, Riyadh, Saudi Arabia
| | - Ibrahim A Almulhim
- Department of Medical Imaging, Diagnostic & Interventional Neuroradiology section, King Fahad Medical City, Riyadh, Saudi Arabia; Department of Interventional Neuroradiology, King Fahad Medical City, Riyadh, Saudi Arabia
| | - Abdulrahman Jubran
- Department of Medical Imaging, Diagnostic & Interventional Neuroradiology section, King Fahad Medical City, Riyadh, Saudi Arabia
| | - Nehal Almodarra
- National Neuroscience Institute, King Fahad Medical City, Riyadh, Saudi Arabia
| | - Nouf Almansour
- National Neuroscience Institute, King Fahad Medical City, Riyadh, Saudi Arabia
| | - Saud A Alnaaim
- Assistant professor, College of Medicine, Clinical Neuroscience department, King Faisal University, Hofuf, Saudi Arabia
| | - Fahmi Al-Senani
- National Neuroscience Institute, King Fahad Medical City, Riyadh, Saudi Arabia
| | - Ashfaq Shuaib
- Stroke Program, Division of Neurology, Department of Medicine, University of Alberta, Edmonton, AB, Canada
| | - Jamal Muthana
- National Neuroscience Institute, King Fahad Medical City, Riyadh, Saudi Arabia
| | - Mohammed Alotaibi
- National Neuroscience Institute, King Fahad Medical City, Riyadh, Saudi Arabia; Neurology Section, Department of Medicine, Faculty of Medicine, King Saud University, Riyadh, Saudi Arabia
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