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Katz JM, Wang JJ, Sanmartin MX, Naidich JJ, Rula E, Sanelli PC. Ten-year trends, disparities, and clinical impact of stroke thrombectomy and thrombolysis: A single center experience 2012-2021. J Stroke Cerebrovasc Dis 2024; 33:107914. [PMID: 39098365 DOI: 10.1016/j.jstrokecerebrovasdis.2024.107914] [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: 01/05/2024] [Revised: 07/31/2024] [Accepted: 08/01/2024] [Indexed: 08/06/2024] Open
Abstract
OBJECTIVES As indications for acute ischemic stroke treatment expand, it is unclear whether disparities in treatment utilization and outcome still exist. The main objective of this study was to investigate disparities in acute ischemic stroke treatment and determine impact on outcome. MATERIALS AND METHODS Retrospective observational cohort study of consecutive ischemic stroke admissions to a comprehensive stroke center from 2012-2021 was performed. Primary exposure was intravenous thrombolysis and/or endovascular thrombectomy. Primary end points were discharge modified Rankin Scale, home disposition, and expired/hospice. Multivariable logistic regression analyses were conducted to elucidate disparities in treatment utilization and determine impact on outcome. RESULTS Of 517,615 inpatient visits, there were 7,540 (1.46 %) ischemic stroke admissions, increasing from 1.14 % to 1.79 % from 2012-2021. Intravenous thrombolysis significantly decreased from 14.4 % to 9.8 % while endovascular thrombectomy significantly increased from 0.8 % to 10.5 %. Both intravenous thrombolysis and endovascular thrombectomy increased odds of discharge home and modified Rankin Scale 0-2, and thrombectomy decreased odds of expired/hospice. After adjusting for covariates, decreased odds of thrombectomy was associated with Medicaid insurance (Odds Ratio [95 % Confidence Interval] 0.55 [0.32-0.93]), age 80+ (0.49 [0.35-0.69]), prior stroke (0.49 [0.31-0.77]), and diabetes mellitus (0.55 [0.39-0.79]), while low median household income (<$80,000/year) increased odds of no acute treatment (1.34 [1.16-1.56]). No sex or racial disparities were observed. Medicaid and low-income were not associated with worse clinical outcomes. CONCLUSIONS Less endovascular thrombectomy occurred in Medicaid, older, prior stroke, and diabetic patients, while low-income was associated with no treatment. The observed socioeconomic disparities did not impact discharge outcome.
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Affiliation(s)
- Jeffrey M Katz
- Northwell Health, New Hyde Park, NY, USA; Department of Radiology, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset NY, USA; Department of Neurology, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset NY, USA.
| | - Jason J Wang
- Northwell Health, New Hyde Park, NY, USA; Department of Radiology, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset NY, USA; Imaging Clinical Effectiveness and Outcomes Research, Center for Health Innovations and Outcomes Research, The Feinstein Institutes for Medical Research, Manhasset, NY, USA.
| | - Maria X Sanmartin
- Northwell Health, New Hyde Park, NY, USA; Department of Radiology, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset NY, USA; Imaging Clinical Effectiveness and Outcomes Research, Center for Health Innovations and Outcomes Research, The Feinstein Institutes for Medical Research, Manhasset, NY, USA.
| | - Jason J Naidich
- Northwell Health, New Hyde Park, NY, USA; Department of Radiology, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset NY, USA.
| | - Elizabeth Rula
- Harvey L. Neiman Health Policy Institute, Reston, VA, USA.
| | - Pina C Sanelli
- Northwell Health, New Hyde Park, NY, USA; Department of Radiology, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset NY, USA; Imaging Clinical Effectiveness and Outcomes Research, Center for Health Innovations and Outcomes Research, The Feinstein Institutes for Medical Research, Manhasset, NY, USA.
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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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Tan Z, Zhang Q, Liu Q, Meng X, Wu W, Wang L, Wu J. Relationship between remnant cholesterol and short-term prognosis in acute ischemic stroke patients. Brain Behav 2024; 14:e3537. [PMID: 38715443 PMCID: PMC11077245 DOI: 10.1002/brb3.3537] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Revised: 04/17/2024] [Accepted: 04/20/2024] [Indexed: 05/12/2024] Open
Abstract
OBJECTIVE Several studies have illustrated that elevated RC levels are related to a heightened risk of acute ischemic stroke (AIS). Our research aimed to explore the correlation between RC levels and poor prognosis after a 90-day interval in AIS patients. METHODS A total of 287 individuals were enrolled in the study, the primary outcome was defined as poor prognosis. RC was derived by the exclusion of low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C) from total cholesterol (TC). RESULTS Following the screening process, 253 AIS patients were included in the study, presenting a median age of 66[57, 75] years. Upon stratifying RC levels into quartiles, those in the top quartile faced a greater likelihood of diabetes diagnosis (42.86%, p = .014) and experienced a higher rate of unfavorable outcomes after 90 days (36.51%, p = .001). After accounting for confounding factors, the correlation between the fourth quartile of RC levels and the amplified likelihood of poor prognosis remained significant (odds ratio (OR) 8.471, 95% confidence interval (CI) (1.841, 38.985); p = .006). Analysis of subgroups unveiled a notable correlation between higher RC levels and poor 90-day prognosis, particularly in individuals with elevated NIHSS scores (p = .044). A progressively increasing 90-day risk of poor prognosis after an RC greater than 0.38 mmol/L was visualized by restricted cubic spline plots (p-overall = .011). CONCLUSIONS Including RC as a contributing element may refine the prediction of poor 90-day prognosis for AIS patients. Integrating RC with traditional risk factors can potentially enhance the predictive value for cerebrovascular disease.
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Affiliation(s)
- Zheng Tan
- Department of NeurologyHefei Hospital Affiliated to Anhui Medical University, The Second People's Hospital of HefeiHefeiAnhuiChina
- The Fifth Clinical Medical CollegeAnhui Medical UniversityHefeiAnhuiChina
| | - Qianyun Zhang
- Department of NeurologyHefei Hospital Affiliated to Anhui Medical University, The Second People's Hospital of HefeiHefeiAnhuiChina
- The Fifth Clinical Medical CollegeAnhui Medical UniversityHefeiAnhuiChina
| | - Qiuwan Liu
- Department of NeurologyHefei Hospital Affiliated to Anhui Medical University, The Second People's Hospital of HefeiHefeiAnhuiChina
| | - Xiaoyin Meng
- Department of NeurologyHefei Hospital Affiliated to Anhui Medical University, The Second People's Hospital of HefeiHefeiAnhuiChina
- The Fifth Clinical Medical CollegeAnhui Medical UniversityHefeiAnhuiChina
| | - Wenpei Wu
- Graduate SchoolBengbu Medical CollegeBengbuAnhuiChina
| | - Long Wang
- Department of NeurologyHefei Hospital Affiliated to Anhui Medical University, The Second People's Hospital of HefeiHefeiAnhuiChina
| | - Juncang Wu
- Department of NeurologyHefei Hospital Affiliated to Anhui Medical University, The Second People's Hospital of HefeiHefeiAnhuiChina
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Zhao T, He F, Zhao K, Yuxia L, Li H, Liu X, Cen J, Duan S. A Triple-Targeted Rutin-Based Self-Assembled Delivery Vector for Treating Ischemic Stroke by Vascular Normalization and Anti-Inflammation via ACE2/Ang1-7 Signaling. ACS CENTRAL SCIENCE 2023; 9:1180-1199. [PMID: 37396868 PMCID: PMC10311651 DOI: 10.1021/acscentsci.3c00377] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Indexed: 07/04/2023]
Abstract
Changes in the cerebral microenvironment caused by acute ischemic stroke-reperfusion are the main obstacle to the recovery of neurological function and an important cause of stroke recurrence after thrombolytic therapy. The intracerebral microenvironment after ischemia-reperfusion reduces the neuroplasticity of the penumbra and ultimately leads to permanent neurological damage. To overcome this challenge, we developed a triple-targeted self-assembled nanodelivery system, which combines the neuroprotective drug rutin with hyaluronic acid through esterification to form a conjugate, and then connected SS-31, a small peptide that can penetrate the blood brain barrier and target mitochondria. Brain targeting, CD44-mediated endocytosis, hyaluronidase 1-mediated degradation, and the acidic environment synergistically promoted the enrichment of nanoparticles and drug release in the injured area. Results demonstrate that rutin has a high affinity for ACE2 receptors on the cell membrane and can directly activate ACE2/Ang1-7 signaling, maintain neuroinflammation, and promote penumbra angiogenesis and normal neovascularization. Importantly, this delivery system enhanced the overall plasticity of the injured area and significantly reduced neurological damage after stroke. The relevant mechanism was expounded from the aspects of behavior, histology, and molecular cytology. All results suggest that our delivery system may be an effective and safe strategy for the treatment of acute ischemic stroke-reperfusion injury.
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Affiliation(s)
- Tingkui Zhao
- Key
Laboratory of Natural Medicine and Immune Engineering, School of Pharmacy, Henan University, Kaifeng 475004, China
| | - Fujin He
- Institute
for Innovative Drug Design and Evaluation, School of Pharmacy, Henan University, Kaifeng 475004, China
| | - Keqing Zhao
- Key
Laboratory of Natural Medicine and Immune Engineering, School of Pharmacy, Henan University, Kaifeng 475004, China
| | - Lin Yuxia
- Institute
for Innovative Drug Design and Evaluation, School of Pharmacy, Henan University, Kaifeng 475004, China
| | - Huanyu Li
- Institute
for Innovative Drug Design and Evaluation, School of Pharmacy, Henan University, Kaifeng 475004, China
| | - Xingru Liu
- Institute
for Innovative Drug Design and Evaluation, School of Pharmacy, Henan University, Kaifeng 475004, China
| | - Juan Cen
- Key
Laboratory of Natural Medicine and Immune Engineering, School of Pharmacy, Henan University, Kaifeng 475004, China
| | - Shaofeng Duan
- Key
Laboratory of Natural Medicine and Immune Engineering, School of Pharmacy, Henan University, Kaifeng 475004, China
- Institute
for Innovative Drug Design and Evaluation, School of Pharmacy, Henan University, Kaifeng 475004, China
- Henan
International Joint Laboratory of Chinese Medicine Efficacy, Henan University, Kaifeng 475004, China
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5
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Zhang J, Dong D, Zeng Y, Yang B, Li F, Chen X, Lu J, Guan M, He N, Qiao H, Li K, Xu A, Huang L, Zhu H. The association between stress hyperglycemia and unfavorable outcomes in patients with anterior circulation stroke after mechanical thrombectomy. Front Aging Neurosci 2023; 14:1071377. [PMID: 36688168 PMCID: PMC9849891 DOI: 10.3389/fnagi.2022.1071377] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2022] [Accepted: 12/14/2022] [Indexed: 01/07/2023] Open
Abstract
Background and purpose Stress hyperglycemia is common in critical and severe diseases. However, few studies have examined the association between stress hyperglycemia and the functional outcomes of patients with anterior circulation stroke, after mechanical thrombectomy (MT), in different diabetes status. This study therefore aimed to determine the relationship between stress hyperglycemia and the risk of adverse neurological functional outcomes in anterior circulation stroke patients with and without diabetes after MT. Methods Data of 408 patients with acute anterior circulation stroke treated with MT through the green-channel treatment system for emergency stroke at the First Affiliated Hospital of Jinan University between January 2016 and December 2020 were reviewed retrospectively. The stress hyperglycemia ratio (SHR) was calculated as fasting plasma glucose (mmol/L) divided by glycosylated hemoglobin (%). The patients were stratified into four groups by quartiles of SHR (Q1-Q4). The primary outcome was an excellent (nondisabled) functional outcome at 3 months after admission (modified Rankin Scale score of 0-1). The relationship between stress hyperglycemia and neurological outcome after stroke was assessed using multivariate logistic regression. Results After adjusting for potential confounders, compared with patients in Q1, those in Q4 were less likely to have an excellent outcome at 3 months (odds ratio [OR], 0.32, 95% confidence interval [CI], 0.14-0.66, p = 0.003), a good outcome at 3 months (OR, 0.41, 95% CI, 0.20-0.84, p = 0.020), and major neurological improvement (OR, 0.38, 95% CI, 0.19-0.73, p = 0.004). Severe stress hyperglycemia increased risks of 3-months all-cause mortality (OR, 2.82, 95% CI, 1.09-8.29, p = 0.041) and ICH (OR, 2.54, 95% CI, 1.21-5.50, p = 0.015). Conclusion Stress hyperglycemia was associated with a reduced rate of excellent neurological outcomes, and increased mortality and ICH risks in patients with anterior circulation stroke after MT regardless of diabetes status.
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Affiliation(s)
- Junrun Zhang
- Department of Neurology and Stroke Center, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China,Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China
| | - Dawei Dong
- Department of Neurology and Stroke Center, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China,Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China
| | - You Zeng
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Bing Yang
- Department of Neurology and Stroke Center, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China,Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China
| | - Fangze Li
- Department of Neurology and Stroke Center, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China,Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China
| | - Xuefang Chen
- Department of Neurology and Stroke Center, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China,Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China
| | - Jingchong Lu
- Department of Neurology and Stroke Center, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China,Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China
| | - Min Guan
- Department of Neurology and Stroke Center, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China,Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China
| | - Niu He
- Department of Neurology and Stroke Center, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China,Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China
| | - Hongyu Qiao
- Department of Neurology and Stroke Center, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China,Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China
| | - Keshen Li
- Department of Neurology and Stroke Center, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China,Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China
| | - Anding Xu
- Department of Neurology and Stroke Center, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China,Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China
| | - Li’an Huang
- Department of Neurology and Stroke Center, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China,Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China,Li’an Huang,
| | - Huili Zhu
- Department of Neurology and Stroke Center, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China,Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China,*Correspondence: Huili Zhu,
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Construction of a Glycaemia-Based Signature for Predicting Acute Kidney Injury in Ischaemic Stroke Patients after Endovascular Treatment. J Clin Med 2022; 11:jcm11133865. [PMID: 35807150 PMCID: PMC9267863 DOI: 10.3390/jcm11133865] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Revised: 06/22/2022] [Accepted: 06/30/2022] [Indexed: 12/25/2022] Open
Abstract
Background: Hyperglycaemia is thought to be connected to worse functional outcomes after ischaemic stroke. However, the association between hyperglycaemia and acute kidney injury (AKI) after endovascular treatment (EVT) remains elusive. The purpose of this study was to investigate the influence of glycaemic on AKI after EVT. Methods: We retrospectively collected the clinical information of patients who underwent EVT from April 2015 to August 2021. Blood glucose after EVT was recorded as acute glycaemia. Chronic glucose levels were estimated by glycosylated haemoglobin (HbA1c) using the following formula: chronic glucose levels (mg/dL) = 28.7 × HbA1c (%) − 46.7. AKI was defined as an increase in maximum serum creatinine to ≥1.5 baseline. We evaluated the association of AKI with blood glucose. A nomogram was established to predict the risk of AKI, and its diagnostic efficiency was determined by decision curve analysis. Results: We enrolled 717 acute ischaemic stroke patients who underwent EVT. Of them, 205 (28.6%) experienced AKI. Acute glycaemia (OR: 1.007, 95% CI: 1.003−1.011, p < 0.001), the acute/chronic glycaemic ratio (OR: 4.455, 95% CI: 2.237−8.871, p < 0.001) and the difference between acute and chronic glycaemia (ΔA-C) (OR: 1.008, 95% CI: 1.004−1.013, p < 0.001) were associated with the incidence of AKI. Additionally, age, atrial fibrillation, ASITN/SIR collateral grading, postoperative mTICI scale, and admission NIHSS were also significantly correlated with AKI. We then created a glycaemia-based nomogram, and its concordance index was 0.743. The net benefit of the nomogram was further confirmed by decision curve analysis. Conclusions: The glycaemia-based nomogram may be used to predict AKI in ischaemic stroke patients receiving EVT.
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Karampatsi D, Zabala A, Wilhelmsson U, Dekens D, Vercalsteren E, Larsson M, Nyström T, Pekny M, Patrone C, Darsalia V. Diet-induced weight loss in obese/diabetic mice normalizes glucose metabolism and promotes functional recovery after stroke. Cardiovasc Diabetol 2021; 20:240. [PMID: 34937562 PMCID: PMC8697500 DOI: 10.1186/s12933-021-01426-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Accepted: 12/02/2021] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Post-stroke functional recovery is severely impaired by type 2 diabetes (T2D). This is an important clinical problem since T2D is one of the most common diseases. Because weight loss-based strategies have been shown to decrease stroke risk in people with T2D, we aimed to investigate whether diet-induced weight loss can also improve post-stroke functional recovery and identify some of the underlying mechanisms. METHODS T2D/obesity was induced by 6 months of high-fat diet (HFD). Weight loss was achieved by a short- or long-term dietary change, replacing HFD with standard diet for 2 or 4 months, respectively. Stroke was induced by middle cerebral artery occlusion and post-stroke recovery was assessed by sensorimotor tests. Mechanisms involved in neurovascular damage in the post-stroke recovery phase, i.e. neuroinflammation, impaired angiogenesis and cellular atrophy of GABAergic parvalbumin (PV)+ interneurons were assessed by immunohistochemistry/quantitative microscopy. RESULTS Both short- and long-term dietary change led to similar weight loss. However, only the latter enhanced functional recovery after stroke. This effect was associated with pre-stroke normalization of fasting glucose and insulin resistance, and with the reduction of T2D-induced cellular atrophy of PV+ interneurons. Moreover, stroke recovery was associated with decreased T2D-induced neuroinflammation and reduced astrocyte reactivity in the contralateral striatum. CONCLUSION The global diabetes epidemic will dramatically increase the number of people in need of post-stroke treatment and care. Our results suggest that diet-induced weight loss leading to pre-stroke normalization of glucose metabolism has great potential to reduce the sequelae of stroke in the diabetic population.
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MESH Headings
- Animals
- Behavior, Animal
- Biomarkers/blood
- Blood Glucose/metabolism
- Brain/metabolism
- Brain/pathology
- Brain/physiopathology
- Diabetes Mellitus, Type 2/blood
- Diabetes Mellitus, Type 2/diet therapy
- Diabetes Mellitus, Type 2/physiopathology
- Diet, High-Fat
- Disease Models, Animal
- Glycemic Control
- Infarction, Middle Cerebral Artery/blood
- Infarction, Middle Cerebral Artery/diet therapy
- Infarction, Middle Cerebral Artery/pathology
- Infarction, Middle Cerebral Artery/physiopathology
- Male
- Mice, Inbred C57BL
- Obesity/blood
- Obesity/diet therapy
- Obesity/physiopathology
- Recovery of Function
- Stroke/blood
- Stroke/diet therapy
- Stroke/pathology
- Stroke/physiopathology
- Time Factors
- Weight Loss
- Mice
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Affiliation(s)
- Dimitra Karampatsi
- NeuroCardioMetabol Group, Department of Clinical Science and Education, Södersjukhuset, Internal Medicine, Karolinska Institutet, 118 83, Stockholm, Sweden
| | - Alexander Zabala
- NeuroCardioMetabol Group, Department of Clinical Science and Education, Södersjukhuset, Internal Medicine, Karolinska Institutet, 118 83, Stockholm, Sweden
| | - Ulrika Wilhelmsson
- Laboratory of Astrocyte Biology and CNS Regeneration, Department of Clinical Neuroscience and Rehabilitation, Center for Brain Repair and Rehabilitation, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | - Doortje Dekens
- NeuroCardioMetabol Group, Department of Clinical Science and Education, Södersjukhuset, Internal Medicine, Karolinska Institutet, 118 83, Stockholm, Sweden
| | - Ellen Vercalsteren
- NeuroCardioMetabol Group, Department of Clinical Science and Education, Södersjukhuset, Internal Medicine, Karolinska Institutet, 118 83, Stockholm, Sweden
| | - Martin Larsson
- NeuroCardioMetabol Group, Department of Clinical Science and Education, Södersjukhuset, Internal Medicine, Karolinska Institutet, 118 83, Stockholm, Sweden
| | - Thomas Nyström
- NeuroCardioMetabol Group, Department of Clinical Science and Education, Södersjukhuset, Internal Medicine, Karolinska Institutet, 118 83, Stockholm, Sweden
| | - Milos Pekny
- Laboratory of Astrocyte Biology and CNS Regeneration, Department of Clinical Neuroscience and Rehabilitation, Center for Brain Repair and Rehabilitation, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | - Cesare Patrone
- NeuroCardioMetabol Group, Department of Clinical Science and Education, Södersjukhuset, Internal Medicine, Karolinska Institutet, 118 83, Stockholm, Sweden.
| | - Vladimer Darsalia
- NeuroCardioMetabol Group, Department of Clinical Science and Education, Södersjukhuset, Internal Medicine, Karolinska Institutet, 118 83, Stockholm, Sweden.
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Penlioglou T, Stoian AP, Papanas N. Diabetes, Vascular Aging and Stroke: Old Dogs, New Tricks? J Clin Med 2021; 10:jcm10194620. [PMID: 34640636 PMCID: PMC8509285 DOI: 10.3390/jcm10194620] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Revised: 10/04/2021] [Accepted: 10/06/2021] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Stroke remains a leading cause of death and disability throughout the world. It is well established that Diabetes Mellitus (DM) is a risk factor for stroke, while other risk factors include dyslipidaemia and hypertension. Given that the global prevalence of diabetes steadily increases, the need for adequate glycaemic control and prevention of DM-related cardiovascular events remains a challenge for the medical community. Therefore, a re-examination of the latest data related to this issue is of particular importance. OBJECTIVE This review aims to summarise the latest data on the relationship between DM and stroke, including epidemiology, risk factors, pathogenesis, prevention and biomarkers. METHODS For this purpose, comprehensive research was performed on the platforms PubMed, Google Scholar and EMBASE with a combination of the following keywords: diabetes mellitus, stroke, macrovascular complications, diabetic stroke, cardiovascular disease. CONCLUSIONS Much progress has been made in stroke in people with DM in terms of prevention and early diagnosis. In the field of prevention, the adaptation of the daily habits and the regulation of co-morbidity of individuals play a particularly important role. Simultaneously, the most significant revolution has been brought by the relatively new treatment options that offer protection to the cardiovascular system. Moreover, many prognostic and diagnostic biomarkers have been identified, paving the way for early and accurate diagnoses. However, to date, there are crucial points that remain controversial and need further clarification.
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Affiliation(s)
- Theano Penlioglou
- Diabetes Centre, Second Department of Internal Medicine, Democritus University of Thrace, 68132 Alexandroupolis, Greece;
| | - Anca Pantea Stoian
- Diabetes, Nutrition and Metabolic Diseases Department, “Carol Davila” University of Medicine, 020021 Bucharest, Romania;
| | - Nikolaos Papanas
- Diabetes Centre, Second Department of Internal Medicine, Democritus University of Thrace, 68132 Alexandroupolis, Greece;
- Correspondence: ; Fax: +30-25513-51723
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