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Cheng L, Zheng S, Zhang J, Wang F, Liu X, Zhang L, Chen Z, Cheng Y, Zhang W, Li Y, He W. Multimodal ultrasound-based carotid plaque risk biomarkers predict poor functional outcome in patients with ischemic stroke or TIA. BMC Neurol 2023; 23:13. [PMID: 36631804 PMCID: PMC9835263 DOI: 10.1186/s12883-023-03052-6] [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: 07/23/2022] [Accepted: 01/04/2023] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND Carotid vulnerable plaque is an important risk factor for stroke occurrence and recurrence. However, the relationship between risk parameters related to carotid vulnerable plaque (plaque size, echogenicity, intraplaque neovascularization, and plaque stiffness) and neurological outcome after ischemic stroke or TIA is unclear. This study investigates the value of multimodal ultrasound-based carotid plaque risk biomarkers to predict poor short-term functional outcome after ischemic stroke or TIA. METHODS This study was a single-center, prospective, continuous, cohort study to observe the occurrence of adverse functional outcomes (mRS 2-6/3-6) 90 days after ischemic stroke or TIA in patients, where the exposure factors in this study were carotid plaque ultrasound risk biomarkers and the risk factors were sex, age, disease history, and medication history. Patients with ischemic stroke or TIA (mRS ≤3) whose ipsilateral internal carotid artery stenosis was ≥50% within 30 days were included. All patients underwent multimodal ultrasound at baseline, including conventional ultrasound, superb microvascular imaging (SMI), and shear wave elastography (SWE). Continuous variables were divided into four groups at interquartile spacing for inclusion in univariate and multifactorial analyses. After completion of a baseline ultrasound, all patients were followed up at 90 days after ultrasound, and patient modified neurological function scores (mRSs) were recorded. Multivariate Cox regression and ROC curves were used to assess the risk factors and predictive power for predicting poor neurological function. RESULTS SMI revealed that 20 (30.8%) patients showed extensive neovascularization in the carotid plaque, and 45 (69.2%) patients showed limited neovascularization in the carotid plaque. SWE imaging showed that the mean carotid plaque stiffness was 51.49 ± 18.34 kPa (23.19-111.39 kPa). After a mean follow-up of 90 ± 14 days, a total of 21 (32.3%) patients had a mRS of 2-6, and a total of 10 (15.4%) patients had a mRS of 3-6. Cox regression analysis showed that the level of intraplaque neovascularization and plaque stiffness were independent risk factors for a mRS of 2-6, and the level of intraplaque neovascularization was an independent risk factor for a mRS of 3-6. After correcting for confounders, the HR of intraplaque neovascularization level and plaque stiffness predicting a mRS 2-6 was 3.06 (95% CI 1.05-12.59, P = 0.041) and 0.51 (95% CI 0.31-0.83, P = 0.007), respectively; the HR of intraplaque neovascularization level predicting a mRS 3-6 was 6.11 (95% CI 1.19-31.45, P = 0.031). For ROC curve analysis, the mRSs for intraplaque neovascularization level, plaque stiffness, and combined application to predict 90-day neurological outcome ranged from 2 to 6, with AUCs of 0.73 (95% CI 0.59-0.87), 0.76 (95% CI 0.64-0.89) and 0.85 (95% CI 0.76-0.95), respectively. The mRSs for the intraplaque neovascularization level to predict 90-day neurological outcome ranged from 3 to 6, with AUCs of 0.79 (95% CI 0.63-0.95). CONCLUSION Intraplaque neovascularization level and plaque stiffness may be associated with an increased risk of poor short-term functional outcome after stroke in patients with recent anterior circulation ischemic stroke due to carotid atherosclerosis. The combined application of multiple parameters has efficacy in predicting poor short-term functional outcome after stroke.
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Affiliation(s)
- Linggang Cheng
- grid.24696.3f0000 0004 0369 153XDepartment of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, Beijing, 100160 China
| | - Shuai Zheng
- grid.24696.3f0000 0004 0369 153XDepartment of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, Beijing, 100160 China
| | - Jinghan Zhang
- grid.24696.3f0000 0004 0369 153XDepartment of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, Beijing, 100160 China
| | - Fumin Wang
- grid.24696.3f0000 0004 0369 153XDepartment of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, Beijing, 100160 China
| | - Xinyao Liu
- grid.24696.3f0000 0004 0369 153XDepartment of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, Beijing, 100160 China
| | - Lin Zhang
- grid.24696.3f0000 0004 0369 153XDepartment of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, Beijing, 100160 China
| | - Zhiguang Chen
- grid.24696.3f0000 0004 0369 153XDepartment of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, Beijing, 100160 China
| | - Ye Cheng
- grid.410318.f0000 0004 0632 3409Guang’anmen Hospital, Chinese Academy of traditional Chinese Medicine, Beijing, China
| | - Wei Zhang
- grid.24696.3f0000 0004 0369 153XDepartment of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, Beijing, 100160 China
| | - Yi Li
- grid.24696.3f0000 0004 0369 153XDepartment of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, Beijing, 100160 China
| | - Wen He
- grid.24696.3f0000 0004 0369 153XDepartment of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, Beijing, 100160 China
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Mohammed HSED, Kamal MM, ElBadre HM, Hosni A, Elfadl AA, Mostafa MA, El-Mahdy RI. Lectin-Like OLR1 3'UTR Rs1050286 Gene Polymorphism and Plasma Oxidized-LDL in Coronary Artery Disease and Their Relation to Cardiovascular Risk and Outcomes. Rep Biochem Mol Biol 2022; 10:537-553. [PMID: 35291601 PMCID: PMC8903367 DOI: 10.52547/rbmb.10.4.537] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2021] [Accepted: 10/24/2021] [Indexed: 06/14/2023]
Abstract
BACKGROUND Oxidized low-density lipoprotein (ox-LDL) has an important role in the genesis of coronary atherosclerosis. Lectin-like ox-LDL receptor 1 (OLR1) contributes to the uptake and internalization of ox-LDL. Genetic polymorphisms have been associated with coronary artery disease (CAD). Here we explore the association of plasma levels of ox-LDL and 3' UTR OLR1 (rs1050286) SNP with CAD risk and in-hospital adverse outcomes. METHODS A case-control study enrolled 192 patients with ST-segment elevation myocardial infarction (STEMI), 100 patients with unstable angina, and 100 healthy controls. Baseline, clinical characteristics, and risk scores of the patients were determined. Plasma ox-LDL and other biochemical variables were measured. All subjects are genotyped for OLR1 (rs1050286) by RT-PCR with TaqMan SNP genotyping assay. RESULTS Plasma ox-LDL was higher with enhanced sensitivity and specificity in identifying patients with STEMI and was found as a significant independent risk factor for CAD in those two groups. Levels of ox-LDL were increased with increasing poor prognostic factors in STEMI patients that are associated with an increased incidence of some adverse events and in-hospital mortality. Elevated STEMI risk was associated with T allele of OLR1 (rs1050286) (odds ratio of 4.9, 95% CI: 2.6-9.4, p< 0.001). STEMI patients who have T allele exhibited higher risk scores, coronary multivessel narrowing, and elevated incidence of in-hospital major adverse clinical events. CONCLUSION These results suggest that plasma ox-LDL, as well as T allele of ORL-1 (rs1050286), is associated with the increased risk for developing STEMI and the associated adverse clinical outcomes.
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Affiliation(s)
| | - Manal Mohamed Kamal
- Department of Medical Physiology, Faculty of Medicine, Assiut University, Assiut, Egypt.
| | - Hala Mostafa ElBadre
- Department of Medical Biochemistry and Molecular Biology, Faculty of Medicine, Assiut University, Assiut, Egypt.
| | - Amal Hosni
- Department of Clinical Pathology, Faculty of Medicine, Assiut University, Assiut, Egypt.
| | - Azza Abo Elfadl
- Department of Clinical Pathology, Faculty of Medicine, Assiut University, Assiut, Egypt.
| | - Mohamed Ahmed Mostafa
- Department of Anesthesia, ICU and Pain Relief, South Egypt Cancer Institute, Assiut University, Assiut, Egypt.
| | - Reham Ibrahim El-Mahdy
- Department of Medical Biochemistry and Molecular Biology, Faculty of Medicine, Assiut University, Assiut, Egypt.
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Wu J, Wang Y, Kang K, Wang A, Xu J, Zhao X. Association between cumulative exposure to different lipid parameters and risk of newly developed carotid plaque. Stroke Vasc Neurol 2021; 6:359-365. [PMID: 33468640 PMCID: PMC8485241 DOI: 10.1136/svn-2020-000430] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Revised: 08/24/2020] [Accepted: 10/12/2020] [Indexed: 02/06/2023] Open
Abstract
Background and purpose Both the magnitude and cumulative exposure of atherogenic lipoproteins have an impact on the atherosclerosis risk, and the exploration focus has shifted from one single lipoprotein assessment to the cumulative exposure of lipoproteins. We aim to investigate the relationship between cumulative exposure to different lipid parameters and the risk of newly developed carotid plaque in this study. Methods In the Asymptomatic Polyvascular Abnormalities Community study, 2947 participants were included with follow-up every 2 years from 2006 to 2012. Lipid parameters including total cholesterol (TC), triglycerides (TGs), low-density lipoprotein cholesterol (LDLC), high-density lipoprotein cholesterol (HDLC) and non-HDLC were measured. Cumulative exposure was calculated by adding the weighted sum of the difference between the measured value and the cut-off value of each parameter. Newly developed carotid plaques were identified by carotid ultrasound performed at the third and fourth follow-ups. Results In the univariate analysis, non-HDLC burden had the highest ORs among the five lipid parameters for newly developed carotid plaque in each quartile, as 1.0 (reference), 1.35 (1.09–1.67), 1.68 (1.36–2.08) and 2.74 (2.22–3.38) from the lowest to the highest quartile. In the multivariate analysis and sensitivity analysis, we obtained similar results. Conclusions TC burden, TG burden, LDLC burden and non-HDLC burden are all independent risk factors for newly developed carotid plaque, especially for the vulnerable plaques. Among lipid parameters, non-HDLC burden is an optimal predictor. Moreover, the predictive value remained significant for participants under the age of 65 years old or free of hypertension, diabetes mellitus and hyperlipidaemia.
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Affiliation(s)
- Jianwei Wu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
| | - Yu Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
| | - Kaijiang Kang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
| | - Anxin Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.,Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Jie Xu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
| | - Xingquan Zhao
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China .,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
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Wang A, Zhang X, Li S, Zhao X, Liu L, Johnston SC, Meng X, Lin J, Zuo Y, Li H, Wang Y, Wang Y. Oxidative lipoprotein markers predict poor functional outcome in patients with minor stroke or transient ischaemic attack. Eur J Neurol 2019; 26:1082-1090. [PMID: 30793440 DOI: 10.1111/ene.13943] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2018] [Accepted: 02/19/2019] [Indexed: 01/08/2023]
Abstract
BACKGROUND AND PURPOSE Oxidative stress plays an important role in acute ischaemic stroke. However, the association of oxidative lipoprotein markers, including oxidized low-density lipoprotein (oxLDL), oxLDL:high-density lipoprotein (HDL) and oxLDL:low-density lipoprotein (LDL), with functional outcome of minor stroke or transient ischaemic attack (TIA) remains unclear. We aimed to investigate the association between oxidative lipoprotein markers and poor functional outcome in patients with minor stroke or TIA. METHODS All patients with minor stroke or TIA were recruited from the Clopidogrel in High-Risk Patients With Acute Non-Disabling Cerebrovascular Events (CHANCE) trial. The poor functional outcome included modified Rankin Scale (mRS) score 2-6 and 3-6 at 90-day and 12-month follow-up. Multivariate logistic regression was used to investigate the associations of oxLDL, oxLDL:HDL and oxLDL:LDL with poor functional outcome. RESULTS Among 3019 patients included in this study, the median (interquartile range) oxLDL, oxLDL:HDL and oxLDL:LDL were 13.96 (6.65-28.81), 4.52 (2.08-9.32) and 11.73 (5.27-24.85) μg/dL, respectively. After adjusted for confounding factors, patients in the highest oxLDL quartile had a higher proportion of mRS score 2-6 at 90 days [hazard ratio (HR), 1.78; 95% confidence interval (CI), 1.26-2.52] and 12 months (HR, 1.42; 95% CI, 1.01-1.99), and mRS score 3-6 at 90 days (HR, 1.98; 95% CI, 1.29-3.04) and 12 months (HR, 1.77; 95% CI, 1.09-2.89) when compared with the lowest oxLDL quartile (P < 0.05). Similar results were found for oxLDL:HDL and oxLDL:LDL. CONCLUSIONS Higher levels of oxidative lipoprotein markers are independent predictors of poor functional outcome in patients with minor stroke or TIA at 90 days and 12 months.
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Affiliation(s)
- A Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - X Zhang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - S Li
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - X Zhao
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - L Liu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - S C Johnston
- Dell Medical School, University of Texas, Austin, TX, USA
| | - X Meng
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - J Lin
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Y Zuo
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - H Li
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Y Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Y Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
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Wu Q, Qu J, Yin Y, Wang A, Cheng W, Duan R, Zhang B. Morning hypertension is a risk factor of macrovascular events following cerebral infarction: A retrospective study. Medicine (Baltimore) 2018; 97:e12013. [PMID: 30142846 PMCID: PMC6113038 DOI: 10.1097/md.0000000000012013] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2018] [Accepted: 07/30/2018] [Indexed: 12/04/2022] Open
Abstract
This study aimed to investigate risk factors (such as morning hypertension, drug compliance, and biochemical parameters) of macrovascular events after cerebral infarction.This was a retrospective study of patients with cerebral infarction admitted between May 2015 and April 2016 at the Fengxian Branch, 6th People's Hospital of Shanghai. They were divided into the macrovascular events and control groups according to the diagnosis of macrovascular events following cerebral infarction.Among the 702 patients included for analysis, 122 patients were with macrovascular events and 580 were without macrovascular events (controls). Morning hypertension (P = .01), dyslipidemia (P = .007), atrial fibrillation (P = .039), carotid artery plaque (P = .014), inflammatory infection (P = .005), high homocysteine (P = .032), antithrombotic compliance (P < .001), statins compliance (P < .001), morning diastolic blood pressure (P < .001), morning systolic blood pressure (P < .001), and morning heart rate (morHR) (P = .033) were associated with macrovascular events. Multivariable analysis showed that morning hypertension (P = .021, odds ratio [OR] = 1.753, 95% confidence interval [CI] [1.088, 2.826]), dyslipidemia (P = .021, OR = 1.708, 95% CI [1.085, 2.687]), and inflammatory infection (P = .031, OR = 2.263, 95% CI [1.078, 4.752]) were independent risk factors for macrovascular events, while antithrombotic compliance (P < .001, OR = 0.488, 95% CI [0.336, 0.709]), statin compliance (P = .02, OR = 0.64, 95% CI [0.44, 0.931]), and morHR (P = .027, OR = 0.977, 95% CI [0.958, 0.997]) were independent protective factors against macrovascular events. Atrial fibrillation showed a tendency to be associated with macrovascular events (P = .077, OR = 1.531, 95% CI [0.955, 2.454]).Morning hypertension, dyslipidemia, and inflammatory infection may increase the risk of macrovascular events following cerebral infarction. Improving morning blood pressure management and drug compliance (antithrombotic drugs and statins) may reduce the risk of macrovascular events following cerebral infarction.
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Gao S, Liu J. Association between circulating oxidized low-density lipoprotein and atherosclerotic cardiovascular disease. Chronic Dis Transl Med 2017; 3:89-94. [PMID: 29063061 PMCID: PMC5627698 DOI: 10.1016/j.cdtm.2017.02.008] [Citation(s) in RCA: 74] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2016] [Indexed: 02/05/2023] Open
Abstract
Atherosclerosis is a chronic, progressive disease which eventually leads to coronary heart disease (CHD), ischemic stroke and other atherosclerotic cardiovascular disease (ASCVD). Numerous studies have demonstrated an atherogenic role of oxidized low-density lipoprotein (ox-LDL) in the progression of ASCVD. This article briefly reviews the atherogenic mechanism of ox-LDL, the methods of measuring ox-LDL in the circulation, effect of medical therapy and life-style modification on ox-LDL level, and the association between circulating ox-LDL and atherosclerosis, including clinical ASCVD events and subclinical atherosclerosis, in observational studies.
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Affiliation(s)
- Shen Gao
- Department of Epidemiology, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing 100029, China
| | - Jing Liu
- Department of Epidemiology, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing 100029, China
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Wang A, Yang Y, Su Z, Yue W, Hao H, Ren L, Wang Y, Cao Y, Wang Y. Association of Oxidized Low-Density Lipoprotein With Prognosis of Stroke and Stroke Subtypes. Stroke 2016; 48:91-97. [PMID: 27899755 DOI: 10.1161/strokeaha.116.014816] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2016] [Revised: 09/18/2016] [Accepted: 10/25/2016] [Indexed: 12/16/2022]
Abstract
BACKGROUND AND PURPOSE The association between oxidized low-density lipoprotein (oxLDL) and the long-term prognosis of stroke is unclear. The aim of this study is to investigate whether oxLDL levels contribute to the prognosis of stroke and stroke subtypes. METHODS All patients with ischemic stroke were recruited from the SOS-Stroke (Study of Oxidative Stress in Patients With Acute Ischemic Stroke) and classified into 5 different subtypes, according to the TOAST criteria (Trial of Org 10172 in Acute Stroke Treatment). We measured oxLDL levels and followed up with patients at 1 year after stroke onset. We analyzed the association between oxLDL and the clinical outcomes of death and poor functional outcome (modified Rankin Scale score of 3-6) of stroke and different stroke subtypes. RESULTS Among the 3688 patients included in this study, 293 (7.94%) were deceased at the 1-year follow-up and 1020 (27.66%) had a poor functional outcome. Patients in the highest oxLDL quartile had a higher risk of 1-year stroke mortality (hazard ratio, 1.61; 95% confidence interval, 1.10-2.33; P<0.001) and a poor functional outcome (odds ratio, 1.48; 95% confidence interval, 1.15-1.89; P<0.001) compared with the lowest oxLDL quartile. In the subgroup analyses, oxLDL was only significantly associated with death and poor functional outcome in the large-artery atherosclerosis subgroup (P<0.05) and small-artery occlusion subgroup (P<0.05). CONCLUSIONS High levels of oxLDL were associated with the high risk of death and poor functional outcome within 1 year after stroke onset, especially in large-artery atherosclerosis and small-artery occlusion stroke subtypes.
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Affiliation(s)
- Anxin Wang
- From the Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (A.W., Yongjun Wang, Yilong Wang); China National Clinical Research Center for Neurological Diseases, Beijing, China (A.W., Yongjun Wang, Yilong Wang); Center of Stroke, Beijing Institute for Brain Disorders, China (A.W., Yongjun Wang, Yilong Wang); Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, China (A.W., Yongjun Wang, Yilong Wang); Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China (A.W.); Departments of Neurology, Tangshan Gongren Hospital, China (Yuling Yang, Y.C.); Department of Epidemiology and Health Statistics, Academy of Public Health and Management, Weifang Medical University, China (Z.S.); Department of Neurology, Second Hospital of Tianjin Medical University, China (W.Y.); Department of Neurology, Tianjin Huanhu Hospital, China (W.Y.); Department of Neurology, Peking University First Hospital, Beijing, China (H.H.); and Department of Neurology, Shenzhen Second People's Hospital, China (L.R.)
| | - Yuling Yang
- From the Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (A.W., Yongjun Wang, Yilong Wang); China National Clinical Research Center for Neurological Diseases, Beijing, China (A.W., Yongjun Wang, Yilong Wang); Center of Stroke, Beijing Institute for Brain Disorders, China (A.W., Yongjun Wang, Yilong Wang); Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, China (A.W., Yongjun Wang, Yilong Wang); Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China (A.W.); Departments of Neurology, Tangshan Gongren Hospital, China (Yuling Yang, Y.C.); Department of Epidemiology and Health Statistics, Academy of Public Health and Management, Weifang Medical University, China (Z.S.); Department of Neurology, Second Hospital of Tianjin Medical University, China (W.Y.); Department of Neurology, Tianjin Huanhu Hospital, China (W.Y.); Department of Neurology, Peking University First Hospital, Beijing, China (H.H.); and Department of Neurology, Shenzhen Second People's Hospital, China (L.R.)
| | - Zhaoping Su
- From the Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (A.W., Yongjun Wang, Yilong Wang); China National Clinical Research Center for Neurological Diseases, Beijing, China (A.W., Yongjun Wang, Yilong Wang); Center of Stroke, Beijing Institute for Brain Disorders, China (A.W., Yongjun Wang, Yilong Wang); Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, China (A.W., Yongjun Wang, Yilong Wang); Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China (A.W.); Departments of Neurology, Tangshan Gongren Hospital, China (Yuling Yang, Y.C.); Department of Epidemiology and Health Statistics, Academy of Public Health and Management, Weifang Medical University, China (Z.S.); Department of Neurology, Second Hospital of Tianjin Medical University, China (W.Y.); Department of Neurology, Tianjin Huanhu Hospital, China (W.Y.); Department of Neurology, Peking University First Hospital, Beijing, China (H.H.); and Department of Neurology, Shenzhen Second People's Hospital, China (L.R.)
| | - Wei Yue
- From the Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (A.W., Yongjun Wang, Yilong Wang); China National Clinical Research Center for Neurological Diseases, Beijing, China (A.W., Yongjun Wang, Yilong Wang); Center of Stroke, Beijing Institute for Brain Disorders, China (A.W., Yongjun Wang, Yilong Wang); Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, China (A.W., Yongjun Wang, Yilong Wang); Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China (A.W.); Departments of Neurology, Tangshan Gongren Hospital, China (Yuling Yang, Y.C.); Department of Epidemiology and Health Statistics, Academy of Public Health and Management, Weifang Medical University, China (Z.S.); Department of Neurology, Second Hospital of Tianjin Medical University, China (W.Y.); Department of Neurology, Tianjin Huanhu Hospital, China (W.Y.); Department of Neurology, Peking University First Hospital, Beijing, China (H.H.); and Department of Neurology, Shenzhen Second People's Hospital, China (L.R.)
| | - Hongjun Hao
- From the Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (A.W., Yongjun Wang, Yilong Wang); China National Clinical Research Center for Neurological Diseases, Beijing, China (A.W., Yongjun Wang, Yilong Wang); Center of Stroke, Beijing Institute for Brain Disorders, China (A.W., Yongjun Wang, Yilong Wang); Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, China (A.W., Yongjun Wang, Yilong Wang); Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China (A.W.); Departments of Neurology, Tangshan Gongren Hospital, China (Yuling Yang, Y.C.); Department of Epidemiology and Health Statistics, Academy of Public Health and Management, Weifang Medical University, China (Z.S.); Department of Neurology, Second Hospital of Tianjin Medical University, China (W.Y.); Department of Neurology, Tianjin Huanhu Hospital, China (W.Y.); Department of Neurology, Peking University First Hospital, Beijing, China (H.H.); and Department of Neurology, Shenzhen Second People's Hospital, China (L.R.)
| | - Lijie Ren
- From the Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (A.W., Yongjun Wang, Yilong Wang); China National Clinical Research Center for Neurological Diseases, Beijing, China (A.W., Yongjun Wang, Yilong Wang); Center of Stroke, Beijing Institute for Brain Disorders, China (A.W., Yongjun Wang, Yilong Wang); Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, China (A.W., Yongjun Wang, Yilong Wang); Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China (A.W.); Departments of Neurology, Tangshan Gongren Hospital, China (Yuling Yang, Y.C.); Department of Epidemiology and Health Statistics, Academy of Public Health and Management, Weifang Medical University, China (Z.S.); Department of Neurology, Second Hospital of Tianjin Medical University, China (W.Y.); Department of Neurology, Tianjin Huanhu Hospital, China (W.Y.); Department of Neurology, Peking University First Hospital, Beijing, China (H.H.); and Department of Neurology, Shenzhen Second People's Hospital, China (L.R.)
| | - Yongjun Wang
- From the Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (A.W., Yongjun Wang, Yilong Wang); China National Clinical Research Center for Neurological Diseases, Beijing, China (A.W., Yongjun Wang, Yilong Wang); Center of Stroke, Beijing Institute for Brain Disorders, China (A.W., Yongjun Wang, Yilong Wang); Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, China (A.W., Yongjun Wang, Yilong Wang); Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China (A.W.); Departments of Neurology, Tangshan Gongren Hospital, China (Yuling Yang, Y.C.); Department of Epidemiology and Health Statistics, Academy of Public Health and Management, Weifang Medical University, China (Z.S.); Department of Neurology, Second Hospital of Tianjin Medical University, China (W.Y.); Department of Neurology, Tianjin Huanhu Hospital, China (W.Y.); Department of Neurology, Peking University First Hospital, Beijing, China (H.H.); and Department of Neurology, Shenzhen Second People's Hospital, China (L.R.)
| | - Yibin Cao
- From the Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (A.W., Yongjun Wang, Yilong Wang); China National Clinical Research Center for Neurological Diseases, Beijing, China (A.W., Yongjun Wang, Yilong Wang); Center of Stroke, Beijing Institute for Brain Disorders, China (A.W., Yongjun Wang, Yilong Wang); Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, China (A.W., Yongjun Wang, Yilong Wang); Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China (A.W.); Departments of Neurology, Tangshan Gongren Hospital, China (Yuling Yang, Y.C.); Department of Epidemiology and Health Statistics, Academy of Public Health and Management, Weifang Medical University, China (Z.S.); Department of Neurology, Second Hospital of Tianjin Medical University, China (W.Y.); Department of Neurology, Tianjin Huanhu Hospital, China (W.Y.); Department of Neurology, Peking University First Hospital, Beijing, China (H.H.); and Department of Neurology, Shenzhen Second People's Hospital, China (L.R.).
| | - Yilong Wang
- From the Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (A.W., Yongjun Wang, Yilong Wang); China National Clinical Research Center for Neurological Diseases, Beijing, China (A.W., Yongjun Wang, Yilong Wang); Center of Stroke, Beijing Institute for Brain Disorders, China (A.W., Yongjun Wang, Yilong Wang); Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, China (A.W., Yongjun Wang, Yilong Wang); Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China (A.W.); Departments of Neurology, Tangshan Gongren Hospital, China (Yuling Yang, Y.C.); Department of Epidemiology and Health Statistics, Academy of Public Health and Management, Weifang Medical University, China (Z.S.); Department of Neurology, Second Hospital of Tianjin Medical University, China (W.Y.); Department of Neurology, Tianjin Huanhu Hospital, China (W.Y.); Department of Neurology, Peking University First Hospital, Beijing, China (H.H.); and Department of Neurology, Shenzhen Second People's Hospital, China (L.R.).
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Masztalewicz M, Nowacki P, Kotlęga D, Bajer-Czajkowska A, Drechsler H. Anti-oxLDL antibodies are clinically insignificant for stroke patients. Neurol Res 2013; 36:86-91. [DOI: 10.1179/1743132813y.0000000268] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
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