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Luo YD, Gan YY, Liao Q, Li X, Huo RR. Interacting and joint effects of triglyceride-glucose index and hypertension on stroke risk in middle-aged and older Chinese adults: a population-based prospective cohort study. Front Cardiovasc Med 2024; 11:1363049. [PMID: 38812746 PMCID: PMC11133867 DOI: 10.3389/fcvm.2024.1363049] [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: 01/11/2024] [Accepted: 05/07/2024] [Indexed: 05/31/2024] Open
Abstract
Background Triglyceride-glucose (TyG) index and hypertension were well-established risk factors for stroke. And TyG index was associated with hypertension. However, no prior study has investigated the interactive effects of the TyG index and hypertension on stroke. This study examined whether hypertension mediates associations of TyG index with incident stroke and the extent of interaction or joint relations of TyG index and hypertension with stroke in middle-aged and older Chinese adults. Methods The China Health and Retirement Longitudinal Study (CHARLS) is an ongoing nationally representative prospective cohort study initiated in 2011. This cohort study included 9,145 middle-aged and older Chinese adults without stroke at baseline. The eposures were TyG index and the logarithmized product of hypertension, as determined during the baseline health examination. The main outcome was self-reported physician-diagnosed stroke which followed up from June 1, 2011, to June 30, 2018. Results Of the 9,145 participants, 4,251 were men (46.5%); the mean (SD) age was 59.20 (9.33) years. During a median follow-up of 7.1 years, 637 (7.0%) participants developed stroke. In multivariable-adjusted models, the TyG index was significantly associated with the risk of hypertension [odds ratio (OR) per 1-SD increase, 1.29; 95% CI, 1.19-1.41] and stroke [hazard ratio (HR) per 1-SD increase, 1.16; 95% CI, 1.02-1.33]. Both multiplicative and additive interactions were observed between TyG index and hypertension on stroke (HR for multiplicative: 2.34, 95% CI, 1.57-3.48; Synergy index: 4.13, 95% CI, 2.73-6.25). Mediation analysis showed that 20.0% of the association between TyG index and stroke was mediated through hypertension. Conclusions This study suggests a synergistic effect of TyG index and hypertension on stroke, and a small proportion of the association between TyG index and stroke was mediated by hypertension, indicating the benefit of coordinated control strategies for both exposures.
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Affiliation(s)
- Yun-Dan Luo
- Department of General Practice, Minzu Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Ying-Yuan Gan
- Department of Scientific Research, Minzu Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Qian Liao
- Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning, China
| | - Xu Li
- Guangxi Health Commission Key Laboratory of Clinical Biotechnology, Liuzhou People’s Hospital, Liuzhou, China
| | - Rong-Rui Huo
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning, China
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2
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Park HK, Lee KJ, Park JM, Kang K, Lee SJ, Kim JG, Cha JK, Kim DH, Han MK, Kang J, Kim BJ, Park TH, Park MS, Lee KB, Lee J, Hong KS, Cho YJ, Lee BC, Yu KH, Oh MS, Kim JT, Choi KH, Kim DE, Ryu WS, Choi JC, Kwon JH, Kim WJ, Shin DI, Sohn SI, Hong JH, Lee J, Lee K, Song J, Bae JS, Cheong HS, Debette S, Bae HJ. Prevalence of Mutations in Mendelian Stroke Genes in Early Onset Stroke Patients. Ann Neurol 2023; 93:768-782. [PMID: 36541592 DOI: 10.1002/ana.26575] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 11/25/2022] [Accepted: 11/29/2022] [Indexed: 12/24/2022]
Abstract
OBJECTIVE Heritability of stroke is assumed not to be low, especially in the young stroke population. However, most genetic studies have been performed in highly selected patients with typical clinical or neuroimaging characteristics. We investigated the prevalence of 15 Mendelian stroke genes and explored the relationships between variants and the clinical and neuroimaging characteristics in a large, unselected, young stroke population. METHODS We enrolled patients aged ≤55 years with stroke or transient ischemic attack from a prospective, nationwide, multicenter stroke registry. We identified clinically relevant genetic variants (CRGVs) in 15 Mendelian stroke genes (GLA, NOTCH3, HTRA1, RNF213, ACVRL1, ENG, CBS, TREX1, ABCC6, COL4A1, FBN1, NF1, COL3A1, MT-TL1, and APP) using a customized, targeted next generation sequencing panel. RESULTS Among 1,033 patients, 131 (12.7%) had 28 CRGVs, most frequently in RNF213 (n = 59), followed by ABCC6 (n = 53) and NOTCH3 (n = 15). The frequency of CRGVs differed by ischemic stroke subtypes (p < 0.01): the highest in other determined etiology (20.1%), followed by large artery atherosclerosis (13.6%). It also differed between patients aged ≤35 years and those aged 51 to 55 years (17.1% vs 9.3%, p = 0.02). Only 27.1% and 26.7% of patients with RNF213 and NOTCH3 variants had typical neuroimaging features of the corresponding disorders, respectively. Variants of uncertain significance (VUSs) were found in 15.4% patients. INTERPRETATION CRGVs in 15 Mendelian stroke genes may not be uncommon in the young stroke population. The majority of patients with CRGVs did not have typical features of the corresponding monogenic disorders. Clinical implications of having CRGVs or VUSs should be explored. ANN NEUROL 2023;93:768-782.
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Affiliation(s)
- Hong-Kyun Park
- Department of Neurology, Inje University Ilsan Paik Hospital, Inje University College of Medicine, Goyang, South Korea
| | - Keon-Joo Lee
- Department of Neurology, Cerebrovascular Center, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, South Korea
- Department of Neurology, Korea University Guro Hospital, Seoul, South Korea
| | - Jong-Moo Park
- Department of Neurology, Uijeongbu Eulji Medical Center, Eulji University, Uijeongbu, South Korea
| | - Kyusik Kang
- Department of Neurology, Nowon Eulji Medical Center, Eulji University, Seoul, South Korea
| | - Soo Joo Lee
- Department of Neurology, Eulji University Hospital, Eulji University, Daejeon, South Korea
| | - Jae Guk Kim
- Department of Neurology, Eulji University Hospital, Eulji University, Daejeon, South Korea
| | - Jae-Kwan Cha
- Department of Neurology, Dong-A University Hospital, Busan, South Korea
| | - Dae-Hyun Kim
- Department of Neurology, Dong-A University Hospital, Busan, South Korea
| | - Moon-Ku Han
- Department of Neurology, Cerebrovascular Center, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, South Korea
| | - Jihoon Kang
- Department of Neurology, Cerebrovascular Center, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, South Korea
| | - Beom Joon Kim
- Department of Neurology, Cerebrovascular Center, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, South Korea
| | - Tai Hwan Park
- Department of Neurology, Seoul Medical Center, Seoul, South Korea
| | - Moo-Seok Park
- Department of Neurology, Seoul Hospital, Ewha Woman's University College of Medicine, Seoul, South Korea
| | - Kyung Bok Lee
- Department of Neurology, Soonchunhyang University Hospital, Seoul, South Korea
| | - Jun Lee
- Department of Neurology, Yeungnam University Hospital, Daegu, South Korea
| | - Keun-Sik Hong
- Department of Neurology, Inje University Ilsan Paik Hospital, Inje University College of Medicine, Goyang, South Korea
| | - Yong-Jin Cho
- Department of Neurology, Inje University Ilsan Paik Hospital, Inje University College of Medicine, Goyang, South Korea
| | - Byung-Chul Lee
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, South Korea
| | - Kyung-Ho Yu
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, South Korea
| | - Mi Sun Oh
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, South Korea
| | - Joon-Tae Kim
- Department of Neurology, Chonnam National University Hospital, Gwangju, South Korea
| | - Kang-Ho Choi
- Department of Neurology, Chonnam National University Hospital, Gwangju, South Korea
| | - Dong-Eog Kim
- Department of Neurology, Dongguk University Ilsan Hospital, Goyang, South Korea
| | - Wi-Sun Ryu
- Department of Neurology, Dongguk University Ilsan Hospital, Goyang, South Korea
- Research Center for Artificial Intelligence, JLK Corporation, Seoul, South Korea
| | - Jay Chol Choi
- Department of Neurology, Jeju National University Hospital, Jeju National University School of Medicine, Jeju, South Korea
| | - Jee-Hyun Kwon
- Department of Neurology, Ulsan University College of Medicine, Ulsan, South Korea
| | - Wook-Joo Kim
- Department of Neurology, Ulsan University College of Medicine, Ulsan, South Korea
| | - Dong-Ick Shin
- Department of Neurology, Chungbuk University Hospital, Cheongju, South Korea
| | - Sung Il Sohn
- Department of Neurology, Keimyung University Dongsan Medical Center, Daegu, South Korea
| | - Jeong-Ho Hong
- Department of Neurology, Keimyung University Dongsan Medical Center, Daegu, South Korea
| | - Juneyoung Lee
- Department of Biostatistics, Korea University College of Medicine, Seoul, South Korea
| | - Kyunghoon Lee
- Department of Laboratory Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, South Korea
| | - Junghan Song
- Department of Laboratory Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, South Korea
| | - Joon Seol Bae
- Research Institute of Future Medicine, Samsung Medical Center, Seoul, South Korea
| | - Hyun Sub Cheong
- Research Institute for Life Science, GW Vitek, Seoul, South Korea
| | - Stéphanie Debette
- University of Bordeaux, Bordeaux Population Health Research Center, Bordeaux, France
| | - Hee-Joon Bae
- Department of Neurology, Cerebrovascular Center, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, South Korea
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Chang LH, Chi NF, Chen CY, Lin YS, Hsu SL, Tsai JY, Huang HC, Lin CJ, Chung CP, Tung CY, Jeng CJ, Lee YC, Liu YT, Lee IH. Monogenic Causes in Familial Stroke Across Intracerebral Hemorrhage and Ischemic Stroke Subtypes Identified by Whole-Exome Sequencing. Cell Mol Neurobiol 2022:10.1007/s10571-022-01315-3. [PMID: 36580209 DOI: 10.1007/s10571-022-01315-3] [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: 09/09/2022] [Accepted: 12/20/2022] [Indexed: 12/30/2022]
Abstract
Whole exome sequencing (WES) has been used to detect rare causative variants in neurological diseases. However, the efficacy of WES in genetic diagnosis of clinically heterogeneous familial stroke remains inconclusive. We prospectively searched for disease-causing variants in unrelated probands with defined familial stroke by candidate gene/hotspot screening and/or WES, depending on stroke subtypes and neuroimaging features at a referral center. The clinical significance of each variant was determined according to the American College of Medical Genetics guidelines. Among 161 probands (mean age at onset 53.2 ± 13.7 years; male 63.4%), 33 participants (20.5%) had been identified with 19 pathogenic/likely pathogenic variants (PVs; WES applied 152/161 = 94.4%). Across subtypes, the highest hit rate (HR) was intracerebral hemorrhage (ICH, 7/18 = 38.9%), particularly with the etiological subtype of structural vasculopathy (4/4 = 100%, PVs in ENG, KRIT1, PKD1, RNF213); followed by ischemic small vessel disease (SVD, 15/48 = 31.3%; PVs in NOTCH3, HTRA1, HBB). In contrast, large artery atherosclerosis (LAA, 4/44 = 9.1%) and cardioembolism (0/11 = 0%) had the lowest HR. NOTCH3 was the most common causative gene (16/161 = 9.9%), presenting with multiple subtypes of SVD (n = 13), ICH (n = 2), or LAA (n = 1). Importantly, we disclosed two previously unreported PVs, KRIT1 p.E379* in a familial cerebral cavernous malformation, and F2 p.F382L in a familial cerebral venous sinus thrombosis. The contribution of monogenic etiologies was particularly high in familial ICH and SVD subtypes in our Taiwanese cohort. Utilizing subtype-guided hotspot screening and/or subsequent WES, we unraveled monogenic causes in 20.5% familial stroke probands, including 1.2% novel PVs. Genetic diagnosis may enable early diagnosis, management and lifestyle modification. Among 161 familial stroke probands, 33 (20.5%) had been identified pathogenic or likely pathogenic monogenic variants related to stroke. The positive hit rate among all subtypes was high in intracerebral hemorrhage (ICH) and ischemic small vessel disease (SVD). Notably, two previously unreported variants, KRIT1 p.E379* in a familial cerebral cavernous malformation and F2 p.F382L in familial cerebral venous sinus thrombosis, were disclosed. CVT cerebral venous thrombosis; HTN Hypertensive subtype; LAA large artery atherosclerosis; SV structural vasculopathy; U Undetermined.
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Affiliation(s)
- Li-Hsin Chang
- Institute of Brain Science, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Nai-Fang Chi
- Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, No. 201, Sec. 2, Shipai Rd., Beitou District, 11217, Taipei City, Taiwan.,School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Chun-Yu Chen
- Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, No. 201, Sec. 2, Shipai Rd., Beitou District, 11217, Taipei City, Taiwan
| | - Yung-Shuan Lin
- Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, No. 201, Sec. 2, Shipai Rd., Beitou District, 11217, Taipei City, Taiwan
| | - Shao-Lun Hsu
- Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, No. 201, Sec. 2, Shipai Rd., Beitou District, 11217, Taipei City, Taiwan
| | - Jui-Yao Tsai
- Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, No. 201, Sec. 2, Shipai Rd., Beitou District, 11217, Taipei City, Taiwan
| | - Hui-Chi Huang
- Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, No. 201, Sec. 2, Shipai Rd., Beitou District, 11217, Taipei City, Taiwan
| | - Chun-Jen Lin
- Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, No. 201, Sec. 2, Shipai Rd., Beitou District, 11217, Taipei City, Taiwan.,School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Chih-Ping Chung
- Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, No. 201, Sec. 2, Shipai Rd., Beitou District, 11217, Taipei City, Taiwan.,School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Chien-Yi Tung
- Cancer Progression Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Chung-Jiuan Jeng
- Brain Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan.,Institute of Anatomy and Cell Biology, School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Yi-Chung Lee
- Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, No. 201, Sec. 2, Shipai Rd., Beitou District, 11217, Taipei City, Taiwan.,School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.,Brain Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Yo-Tsen Liu
- Institute of Brain Science, National Yang Ming Chiao Tung University, Taipei, Taiwan. .,Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, No. 201, Sec. 2, Shipai Rd., Beitou District, 11217, Taipei City, Taiwan. .,School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan. .,Brain Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan.
| | - I-Hui Lee
- Institute of Brain Science, National Yang Ming Chiao Tung University, Taipei, Taiwan. .,Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, No. 201, Sec. 2, Shipai Rd., Beitou District, 11217, Taipei City, Taiwan. .,School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan. .,Brain Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan.
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Liu R, Shao J. Research progress on risk factors related to intracranial artery, carotid artery, and coronary artery stenosis. Front Cardiovasc Med 2022; 9:970476. [PMID: 36386370 PMCID: PMC9640748 DOI: 10.3389/fcvm.2022.970476] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Accepted: 09/13/2022] [Indexed: 07/25/2023] Open
Abstract
In recent decades, with the rapid development of economy, the acceleration of social aging and urbanization, and the prevalence of unhealthy lifestyles, the number of patients with cardiovascular and cerebrovascular diseases has shown an increasing trend year by year. It has also become one of the important causes of disability and death in all ages and groups. Atherosclerosis is the main pathological change of ischemic cardiovascular and cerebrovascular diseases, which mainly invades the large and medium arteries of the body circulation. In particular, cerebral artery and coronary artery lesions have the most significant impact on life. There is the same pathogenic mechanism between intracranial and extracranial arteries and coronary atherosclerosis, so there is a certain relationship between the degree of atherosclerosis. In this paper, the risk factors related to intracranial and extracranial arteries and coronary artery stenosis were reviewed. It provides a theoretical basis for early detection, early diagnosis and early treatment of intracranial and extracranial artery and coronary artery stenosis to reduce the occurrence and development of cardiovascular and cerebrovascular diseases.
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Affiliation(s)
- Ruijun Liu
- Department of Neurointerventional, The Third Hospital of Jinan, Jinan, China
| | - Jing Shao
- Department of Cardiovascular, The Third Hospital of Jinan, Jinan, China
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Mbonde AA, O'Carroll CB, Dulamea OA, Anghel D, Chong BW, Dumitrascu OM. Current Guidelines on Management of Amaurosis Fugax and Transient Ischemic Attacks. Asia Pac J Ophthalmol (Phila) 2022; 11:168-176. [PMID: 35213421 DOI: 10.1097/apo.0000000000000511] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
Abstract
ABSTRACT Transient ischemic attack (TIA) is defined as a transient episode of neurological dysfunction resulting from focal brain, spinal cord, or retinal ischemia, without associated infarction. Consequently, a TIA encompasses amaurosis fugax (AF) that is a term used to denote momentary visual loss from transient retinal ischemia. In this review, we use the word TIA to refer to both cerebral TIAs (occurring in the brain) and AF (occurring in the retina). We summarize the key components of a comprehensive evaluation and management of patients presenting with cerebral and retinal TIA.All TIAs should be treated as medical emergencies, as they may herald permanent disabling visual loss and devastating hemispheric or vertebrobasilar ischemic stroke. Patients with suspected TIA should be expeditiously evaluated in the same manner as those with an acute stroke. This should include a detailed history and examination followed by specific diagnostic studies. Imaging of the brain and extracranial and intracranial blood vessels forms the cornerstone of diagnostic workup of TIA. Cardiac investigations and serum studies to evaluate for etiological risk factors are also recommended.The management of all TIAs, whether cerebral or retinal, is similar and should focus on stroke prevention strategies, which we have categorized into general and specific measures. General measures include the initiation of appropriate antiplatelet therapy, encouraging a healthy lifestyle, and managing traditional risk factors, such as hypertension, dyslipidemia, and diabetes. Specific management measures require the identification of a specific TIA etiology, such as moderate-severe (greater than 50% of stenosis) symptomatic extracranial large vessel or intracranial steno-occlusive atherosclerotic disease, aortic arch atherosclerosis, and atrial fibrillation.
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Affiliation(s)
- Amir A Mbonde
- Department of Neurology, Mayo Clinic College of Medicine and Science, Scottsdale, AZ, US
| | - Cumara B O'Carroll
- Department of Neurology, Mayo Clinic College of Medicine and Science, Scottsdale, AZ, US
| | - Octaviana A Dulamea
- Department of Neurology, Fundeni Clinical institute and University of Medicine Carol Davila, Bucharest, Romania
| | - Daniela Anghel
- Department of Neurology, Fundeni Clinical institute and University of Medicine Carol Davila, Bucharest, Romania
| | - Brian W Chong
- Department of Neuroradiology, Mayo Clinic College of Medicine and Science, Phoenix, AZ, US
| | - Oana M Dumitrascu
- Department of Neurology, Mayo Clinic College of Medicine and Science, Scottsdale, AZ, US
- Department of Ophthalmology, Mayo Clinic College of Medicine and Science, Scottsdale, AZ, US
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Family History is Related to High Risk of Recurrent Events after Ischemic Stroke or Transient Ischemic Attack. J Stroke Cerebrovasc Dis 2021; 31:106151. [PMID: 34823089 DOI: 10.1016/j.jstrokecerebrovasdis.2021.106151] [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: 07/18/2021] [Revised: 09/25/2021] [Accepted: 09/29/2021] [Indexed: 11/23/2022] Open
Abstract
OBJECTIVE Prior data suggest paternal or sibling stroke was associated with increased risk of offspring stroke. Whether family history of cardiovascular disease (FHc) predicts risk of stroke recurrence remains unclear, we aim to determine this issue on patients with ischemic stroke (IS) or transient ischemic attack (TIA). MATERIALS AND METHODS This is a post hoc analysis based on the Third China National Stroke Registry III. IS/TIA patients with data of FHc status were included. FHc was defined as family history of coronary heart disease (CHD) or stroke among first-degree relatives (include parents, children, and siblings (same parents)). Cox proportional hazards regression models were performed to assess the association between FHc and recurrent events at 1 year follow-up. RESULTS Totally 14,208 patients with verified FHc status were included, 4,454 (31.3%) were female and the median (IQR) age was 62.0 (54.0, 70.0) years. Of these, 294 (2.1%), 726 (5.1%) and 1936 (13.6%) had family history of both CHD and stroke, family history of CHD, and family history of stroke only, respectively. Using multivariable Cox models adjusted for age, sex, and vascular risk factors, we found that patients with FHc experienced higher risk of stroke recurrence (HR=1.151, 95%CI=1.000-1.324) and combined vascular events (HR=1.186, 95%CI=1.036-1.358) at 1 year compared with those without FHc. In sensitivity analysis on patients who received primary secondary prevention treatment of antiplatelet and statins, the association persisted. CONCLUSIONS FHc is associated with increased risk of stroke recurrence even under primary secondary prevention treatment.
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Al-Kuraishy HM, Al-Gareeb AI, Naji MT. Statin therapy associated with decreased neuronal injury measured by serum S100β levels in patients with acute ischemic stroke. Int J Crit Illn Inj Sci 2021; 11:246-252. [PMID: 35070915 PMCID: PMC8725813 DOI: 10.4103/ijciis.ijciis_7_20] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Revised: 03/27/2020] [Accepted: 03/31/2020] [Indexed: 02/07/2023] Open
Abstract
Background Acute ischemic strokes (AIS) are a common cause of morbidity, mortality, and disability. The serum biomarker S100β correlates with poor neurological outcomes in the setting of AIS. This study describes the impact of statin treatment on S100β levels following AIS. Methods This was a prospective case-control study of AIS patients compared to healthy controls. Patients were stratified into three groups: (1) AIS patients on statin therapy, (2) AIS patients not on statin therapy, and (3) healthy controls. Demographics, clinical parameters, stroke risk scores (SRS), and S100β levels were recorded for all patients. Results Blood pressure, lipids, and SRS scores were higher in stroke versus control patients (all P < 0.05), and lower in Group I versus II (all P < 0.05). S100β levels were higher in stroke versus nonstroke patients (P = 0.001), and lower in Group I versus II (P = 0.001). Furthermore, patients on atorvastatin showed greater S100β reductions than those on rosuvastatin therapy (P = 0.01). Conclusion In acute stroke patients, statins therapy correlated with reductions in the neuronal injury biomarker S100β, with greater reductions observed for atorvastatin than rosuvastatin therapy.
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Affiliation(s)
- Hayder M Al-Kuraishy
- Department of Pharmacology, Toxicology and Medicine, College of Medicine Almustansiriya University, Baghdad, Iraq
| | - Ali I Al-Gareeb
- Department of Pharmacology, Toxicology and Medicine, College of Medicine Almustansiriya University, Baghdad, Iraq
| | - Marwa Thaier Naji
- Department of Pharmacology, Toxicology and Medicine, College of Medicine Almustansiriya University, Baghdad, Iraq
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8
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M'barek L, Sakka S, Megdiche F, Farhat N, Maalla K, Turki D, Feki S, Rebai A, Dammak M, Kallel C, Mhiri C. Traditional risk factors and combined genetic markers of recurrent ischemic stroke in adults. J Thromb Haemost 2021; 19:2596-2604. [PMID: 34241942 DOI: 10.1111/jth.15448] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Accepted: 07/06/2021] [Indexed: 02/04/2023]
Abstract
BACKGROUND The involvement of traditional risk factors and combined genetic markers of recurrent arterial ischemic stroke (AIS) in adults remains unclear. OBJECTIVE This study aims to determine significant clinical and genetic factors of AIS recurrence, and to investigate the combined effect of genotypes on the occurrence of a second cerebral ischemic attack. METHODS We investigated a cohort study of AIS patients (18-50 years old) followed in the neurology department over 5 years. Traditional and genetic risk factors were carried through a multivariable logistic regression model. We used a Cox proportional hazard model for identifying predictors of recurrence. RESULTS Two hundred and seventy patients were enrolled in our study. The risk of AIS recurrence was 36.2% within 5 years. The potential risk of recurrence of AIS increased with traditional and genetic risk factors such as hypertension, diabetes mellitus, heart failure, and family history of cerebrovascular diseases. This risk increased with increasing number of genetic factors. The hazard ratio (HR) was 0.66 (95% confidence interval [CI] 0.97-2.67) for the subject with one genetic factor, 1.61 (95% CI 0.97-2.25) for combined methylenetetrahydrofolate reductase (MTHFR) polymorphisms, and 2.57 (95% CI 1.32-4.99) for combined factor V Leiden (FVL) and MTHFR polymorphisms (677 or 1298). The HR for the three polymorphisms combined was 6.04 (95% CI 2.40-15.16). CONCLUSIONS Our findings suggest that cumulative effect of both traditional and common genetic risk factors was associated with recurrence of ischemic stroke. We demonstrated for the first time that a combined genotype FVL/MTHFR profile increase the risk of a second cerebral ischemic attack.
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Affiliation(s)
- Lamia M'barek
- Laboratory of Neurogenetics, Parkinson's Disease and Cerebrovascular Disease (LR-12-SP-19), University of Sfax, Sfax, Tunisia
- Clinical Investigation Center (CIC), Habib Bourguiba University Hospital, Sfax, Tunisia
| | - Salma Sakka
- Laboratory of Neurogenetics, Parkinson's Disease and Cerebrovascular Disease (LR-12-SP-19), University of Sfax, Sfax, Tunisia
| | - Fatma Megdiche
- Laboratory of Hematology, Habib Bourguiba University Hospital, Sfax, Tunisia
- Faculty of Pharmacy, University of Monastir, Monastir, Tunisia
| | - Nouha Farhat
- Laboratory of Neurogenetics, Parkinson's Disease and Cerebrovascular Disease (LR-12-SP-19), University of Sfax, Sfax, Tunisia
| | - Khadija Maalla
- Laboratory of Neurogenetics, Parkinson's Disease and Cerebrovascular Disease (LR-12-SP-19), University of Sfax, Sfax, Tunisia
| | - Dhaker Turki
- Laboratory of Neurogenetics, Parkinson's Disease and Cerebrovascular Disease (LR-12-SP-19), University of Sfax, Sfax, Tunisia
| | - Sawsan Feki
- Autoimmunity, Cancer and Immunogenetics" Research Laboratory (LR18SP12), Immunology Department, Habib Bourguiba Hospital, University of Sfax, Sfax, Tunisia
| | - Ahmed Rebai
- Molecular and Cellular Screening Process Laboratory, Centre of Biotechnology of Sfax, Sfax, Tunisia
| | - Mariem Dammak
- Laboratory of Neurogenetics, Parkinson's Disease and Cerebrovascular Disease (LR-12-SP-19), University of Sfax, Sfax, Tunisia
| | - Choumous Kallel
- Laboratory of Hematology, Habib Bourguiba University Hospital, Sfax, Tunisia
- Faculty of Pharmacy, University of Monastir, Monastir, Tunisia
| | - Chokri Mhiri
- Laboratory of Neurogenetics, Parkinson's Disease and Cerebrovascular Disease (LR-12-SP-19), University of Sfax, Sfax, Tunisia
- Clinical Investigation Center (CIC), Habib Bourguiba University Hospital, Sfax, Tunisia
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Yao YY, Wei ZJ, Zhang YC, Li X, Gong L, Zhou JW, Wang Y, Zhang YY, Wang RP. Functional Disability After Ischemic Stroke: A Community-Based Cross-Sectional Study in Shanghai, China. Front Neurol 2021; 12:649088. [PMID: 34512499 PMCID: PMC8427524 DOI: 10.3389/fneur.2021.649088] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2021] [Accepted: 07/13/2021] [Indexed: 01/03/2023] Open
Abstract
Objective: This study aimed to understand the demographics, functional disabilities, cognitive impairment, and depressive mood among stroke patients and to explore the correlation between functional disability and the other health conditions so as to provide some data for community rehabilitation among stroke patients. Methods: A cross-sectional study was conducted to investigate the functional status of ischemic stroke patients with stroke history between 1 month and 2 years by applying the modified Rankin Scale (mRS). Data were collected during October 2016 and January 2017 from 11 communities in two districts of Shanghai, China. We used face-to-face questionnaire interviews to collect information on sociodemographics, vascular risks associated with stroke, cognitive function [Mini-Mental State Examination (MMSE)], and depression [Patient Health Questionnaire-9 (PHQ-9)]; and we applied SPSS 24.0 for data analysis. Results: In this study, 305 patients with ischemic stroke were finally recruited, including 189 (61.97%) men, with an average age of 67 years. According to the mRS score, ischemic stroke patients were divided into patients without symptoms (controls, mRS = 0), patients without obvious disability (mRS = 1), and patients with mild to severe disability (mRS = 2-5). Ischemic stroke patients with different mRS levels demonstrated significant differences in age, tobacco smoke exposure, previous stroke history, cognitive function, and depression status. Compared with patients without symptoms (mRS = 0), patients with mRS = 1 had a lower MMSE score [odds ratio (OR): 0.48, 95% confidence interval (CI): 0.26-0.90]; and patients with mRS = 2-5 had a lower MMSE score [OR = 0.16, 95% CI: 0.08-0.33], had a higher PHQ-9 score [OR = 5.36, 95% CI: 2.19-13.11], and were more likely to have previous stroke history [OR = 2.18, 95% CI: 1.01-4.79]. Conclusion: Lower degrees of functional independence are related to cognitive impairment, as well as the previous stroke history and depression status.
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Affiliation(s)
- Ying-Ye Yao
- Department of Neurology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Zi-Jun Wei
- Department of Neurology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Yue-Chan Zhang
- Department of Neurology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Xiang Li
- Department of Neurology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Liu Gong
- Department of Neurology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China.,Department of Neurology, Shanghai Baoshan Integrated Traditional Chinese and Western Medicine Hospital, Shanghai, China
| | - Jia-Wei Zhou
- Department of Neurology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Yu Wang
- Department of Neurology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Yun-Yun Zhang
- Department of Neurology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Rui-Ping Wang
- Clinical Research Center, Shanghai Skin Diseases Hospital, Tongji University, Shanghai, China
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10
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Alnaami I, Alhazzani A, Alburaidi I, Alkhayri M, Dibssan H, Alqahtani MS, Alqahtani M, Alqahtani S, Shehata SF, Gaber A, Alqahtani SA. Demographic characteristics and types of stroke in Southwestern Saudi Arabia, and the potential demand of neuro endovascular specialists. ACTA ACUST UNITED AC 2021; 26:62-68. [PMID: 33530045 PMCID: PMC8015492 DOI: 10.17712/nsj.2021.1.20200104] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2020] [Accepted: 09/10/2020] [Indexed: 11/20/2022]
Abstract
OBJECTIVES To identify demographic characteristics, and types of stroke in Southwestern (Aseer) Region, Saudi Arabia. METHODS This study is a retrospective and hospital-based. The data of all stroke patients (n=562) admitted to the tertiary care hospital in the province, Aseer Central Hospital (ACH) within the period from January 2016 until December 2017 are included. RESULTS The mean ± SD of stoke patients' age was 62.6 ± 17.0 years. Male patients were more than female patients (62.6% and 37.4%, respectively). The majority (93.2%) were Saudi, while 91.5% had below university education and 6.4% were smokers. Interestingly, only 2% of patients had a family history of stroke, while 68.1% were diabetic, 80.4% were hypertensive, 91.6% had high serum cholesterol level, and 10.7% had history of transient ischemic attacks (TIA). Despite the lack of awareness, and leading to delay in reaching health care facility, 58.1% of stroke patients, were arriving to emergency department (ED) in less than 24 hours (potential endovascular therapeutic window). CONCLUSIONS In Aseer Region, Saudi Arabia, stroke affects mainly those who are older, less educated, diabetic, hypertensive, with hypercholesterolemia and previous history of TIA. Associated factors for stroke differ significantly according to their nationality.
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Affiliation(s)
- Ibrahim Alnaami
- From the Division of Neurosurgery (Alnaami, Alburaidi, Alkhayri, Dibssan, Alqahtani S, Alqahtani M), Department of Surgery, from the Department of Family and Community Medicine (Shehata), from the Division of Neurology (Alqahtani S), Department of Medicine, College of Medicine, King Khalid University, from the Department of Radiology (Gaber), Aseer Central Hospital, Abha; from the Division of Neurology (Alhazzani), Department of Medicine, College of Medicine, King Saud University, Riyadh, from the Division of Neurology (Alqahtani MS), Armed forces Hospital-Southern Region, Aseer, Kingdom of Saudi Arabia, and from the High Institute of Public Health (Shehata), Alexandria, Egypt
| | - Adel Alhazzani
- From the Division of Neurosurgery (Alnaami, Alburaidi, Alkhayri, Dibssan, Alqahtani S, Alqahtani M), Department of Surgery, from the Department of Family and Community Medicine (Shehata), from the Division of Neurology (Alqahtani S), Department of Medicine, College of Medicine, King Khalid University, from the Department of Radiology (Gaber), Aseer Central Hospital, Abha; from the Division of Neurology (Alhazzani), Department of Medicine, College of Medicine, King Saud University, Riyadh, from the Division of Neurology (Alqahtani MS), Armed forces Hospital-Southern Region, Aseer, Kingdom of Saudi Arabia, and from the High Institute of Public Health (Shehata), Alexandria, Egypt
| | - Ibrahim Alburaidi
- From the Division of Neurosurgery (Alnaami, Alburaidi, Alkhayri, Dibssan, Alqahtani S, Alqahtani M), Department of Surgery, from the Department of Family and Community Medicine (Shehata), from the Division of Neurology (Alqahtani S), Department of Medicine, College of Medicine, King Khalid University, from the Department of Radiology (Gaber), Aseer Central Hospital, Abha; from the Division of Neurology (Alhazzani), Department of Medicine, College of Medicine, King Saud University, Riyadh, from the Division of Neurology (Alqahtani MS), Armed forces Hospital-Southern Region, Aseer, Kingdom of Saudi Arabia, and from the High Institute of Public Health (Shehata), Alexandria, Egypt
| | - Mona Alkhayri
- From the Division of Neurosurgery (Alnaami, Alburaidi, Alkhayri, Dibssan, Alqahtani S, Alqahtani M), Department of Surgery, from the Department of Family and Community Medicine (Shehata), from the Division of Neurology (Alqahtani S), Department of Medicine, College of Medicine, King Khalid University, from the Department of Radiology (Gaber), Aseer Central Hospital, Abha; from the Division of Neurology (Alhazzani), Department of Medicine, College of Medicine, King Saud University, Riyadh, from the Division of Neurology (Alqahtani MS), Armed forces Hospital-Southern Region, Aseer, Kingdom of Saudi Arabia, and from the High Institute of Public Health (Shehata), Alexandria, Egypt
| | - Hani Dibssan
- From the Division of Neurosurgery (Alnaami, Alburaidi, Alkhayri, Dibssan, Alqahtani S, Alqahtani M), Department of Surgery, from the Department of Family and Community Medicine (Shehata), from the Division of Neurology (Alqahtani S), Department of Medicine, College of Medicine, King Khalid University, from the Department of Radiology (Gaber), Aseer Central Hospital, Abha; from the Division of Neurology (Alhazzani), Department of Medicine, College of Medicine, King Saud University, Riyadh, from the Division of Neurology (Alqahtani MS), Armed forces Hospital-Southern Region, Aseer, Kingdom of Saudi Arabia, and from the High Institute of Public Health (Shehata), Alexandria, Egypt
| | - Mohammed S Alqahtani
- From the Division of Neurosurgery (Alnaami, Alburaidi, Alkhayri, Dibssan, Alqahtani S, Alqahtani M), Department of Surgery, from the Department of Family and Community Medicine (Shehata), from the Division of Neurology (Alqahtani S), Department of Medicine, College of Medicine, King Khalid University, from the Department of Radiology (Gaber), Aseer Central Hospital, Abha; from the Division of Neurology (Alhazzani), Department of Medicine, College of Medicine, King Saud University, Riyadh, from the Division of Neurology (Alqahtani MS), Armed forces Hospital-Southern Region, Aseer, Kingdom of Saudi Arabia, and from the High Institute of Public Health (Shehata), Alexandria, Egypt
| | - Mohammed Alqahtani
- From the Division of Neurosurgery (Alnaami, Alburaidi, Alkhayri, Dibssan, Alqahtani S, Alqahtani M), Department of Surgery, from the Department of Family and Community Medicine (Shehata), from the Division of Neurology (Alqahtani S), Department of Medicine, College of Medicine, King Khalid University, from the Department of Radiology (Gaber), Aseer Central Hospital, Abha; from the Division of Neurology (Alhazzani), Department of Medicine, College of Medicine, King Saud University, Riyadh, from the Division of Neurology (Alqahtani MS), Armed forces Hospital-Southern Region, Aseer, Kingdom of Saudi Arabia, and from the High Institute of Public Health (Shehata), Alexandria, Egypt
| | - Saleh Alqahtani
- From the Division of Neurosurgery (Alnaami, Alburaidi, Alkhayri, Dibssan, Alqahtani S, Alqahtani M), Department of Surgery, from the Department of Family and Community Medicine (Shehata), from the Division of Neurology (Alqahtani S), Department of Medicine, College of Medicine, King Khalid University, from the Department of Radiology (Gaber), Aseer Central Hospital, Abha; from the Division of Neurology (Alhazzani), Department of Medicine, College of Medicine, King Saud University, Riyadh, from the Division of Neurology (Alqahtani MS), Armed forces Hospital-Southern Region, Aseer, Kingdom of Saudi Arabia, and from the High Institute of Public Health (Shehata), Alexandria, Egypt
| | - Shehata F Shehata
- From the Division of Neurosurgery (Alnaami, Alburaidi, Alkhayri, Dibssan, Alqahtani S, Alqahtani M), Department of Surgery, from the Department of Family and Community Medicine (Shehata), from the Division of Neurology (Alqahtani S), Department of Medicine, College of Medicine, King Khalid University, from the Department of Radiology (Gaber), Aseer Central Hospital, Abha; from the Division of Neurology (Alhazzani), Department of Medicine, College of Medicine, King Saud University, Riyadh, from the Division of Neurology (Alqahtani MS), Armed forces Hospital-Southern Region, Aseer, Kingdom of Saudi Arabia, and from the High Institute of Public Health (Shehata), Alexandria, Egypt
| | - Ashraf Gaber
- From the Division of Neurosurgery (Alnaami, Alburaidi, Alkhayri, Dibssan, Alqahtani S, Alqahtani M), Department of Surgery, from the Department of Family and Community Medicine (Shehata), from the Division of Neurology (Alqahtani S), Department of Medicine, College of Medicine, King Khalid University, from the Department of Radiology (Gaber), Aseer Central Hospital, Abha; from the Division of Neurology (Alhazzani), Department of Medicine, College of Medicine, King Saud University, Riyadh, from the Division of Neurology (Alqahtani MS), Armed forces Hospital-Southern Region, Aseer, Kingdom of Saudi Arabia, and from the High Institute of Public Health (Shehata), Alexandria, Egypt
| | - Saeed A Alqahtani
- From the Division of Neurosurgery (Alnaami, Alburaidi, Alkhayri, Dibssan, Alqahtani S, Alqahtani M), Department of Surgery, from the Department of Family and Community Medicine (Shehata), from the Division of Neurology (Alqahtani S), Department of Medicine, College of Medicine, King Khalid University, from the Department of Radiology (Gaber), Aseer Central Hospital, Abha; from the Division of Neurology (Alhazzani), Department of Medicine, College of Medicine, King Saud University, Riyadh, from the Division of Neurology (Alqahtani MS), Armed forces Hospital-Southern Region, Aseer, Kingdom of Saudi Arabia, and from the High Institute of Public Health (Shehata), Alexandria, Egypt
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Kwan A, Wei J, Dowling NM, Power MC, Nadareishvili Z. Cognitive Impairment after Lacunar Stroke and the Risk of Recurrent Stroke and Death. Cerebrovasc Dis 2021; 50:383-389. [PMID: 33752211 PMCID: PMC8266725 DOI: 10.1159/000514261] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Accepted: 01/02/2021] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION Patients with poststroke cognitive impairment appear to be at higher risk of recurrent stroke and death. However, whether cognitive impairment after lacunar stroke is associated with recurrent stroke and death remains unclear. We assessed whether global or domain-specific cognitive impairment after lacunar stroke is associated with recurrent stroke and death. METHODS We considered patients from the Secondary Prevention of Small Subcortical Strokes (SPS3) trial with a baseline cognitive exam administered in English by certified SPS3 personnel, 14-180 days after qualifying lacunar stroke. We considered a baseline score of ≤86 on the Cognitive Assessment Screening Instrument to indicate global cognitive impairment, <10 on the Clock Drawing on Command test to indicate executive function impairment, and domain-specific summary scores in the lowest quartile to indicate memory and nonmemory impairment. We used Cox proportional hazards models to estimate the association between poststroke cognitive impairment and subsequent risk of recurrent stroke and death. RESULTS The study included 1,528 participants with a median enrollment time of 62 days after qualifying stroke. During a mean follow-up of 3.9 years, 11.4% of participants had recurrent stroke and 8.2% died. In the fully adjusted models, memory impairment was independently associated with an increased risk of recurrent stroke (hazard ratio, 1.48; 95% confidence interval [95% CI]: 1.04-2.09) and death (hazard ratio, 1.87; 95% CI: 1.25-2.79). Global impairment (hazard ratio, 1.66; 95% CI: 1.06-2.59) and nonmemory impairment (hazard ratio, 1.74; 95% CI: 1.14-2.67) were associated with an increased risk of death. DISCUSSION/CONCLUSION After lacunar stroke, memory impairment was an independent predictor of recurrent stroke and death, while global and nonmemory impairment were associated with death. Cognitive screening in lacunar stroke may help identify populations at higher risk of recurrent stroke and death.
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Affiliation(s)
- Abraham Kwan
- Department of Epidemiology, Milken Institute School of Public Health, George Washington University, Washington, District of Columbia, USA
| | - Jingkai Wei
- Department of Epidemiology, Milken Institute School of Public Health, George Washington University, Washington, District of Columbia, USA
| | - N Maritza Dowling
- Department of Acute and Chronic Care, School of Nursing, George Washington University, Washington, District of Columbia, USA
| | - Melinda C Power
- Department of Epidemiology, Milken Institute School of Public Health, George Washington University, Washington, District of Columbia, USA
| | - Zurab Nadareishvili
- Department of Neurology, School of Medicine and Health Sciences, George Washington University, Washington, District of Columbia, USA,
- Stroke Center, Virginia Hospital Center, Arlington, Virginia, USA,
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12
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Baye M, Hintze A, Gordon-Murer C, Mariscal T, Belay GJ, Gebremariam AA, Hughes CML. Stroke Characteristics and Outcomes of Adult Patients in Northwest Ethiopia. Front Neurol 2020; 11:428. [PMID: 32508740 PMCID: PMC7248259 DOI: 10.3389/fneur.2020.00428] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Accepted: 04/22/2020] [Indexed: 12/21/2022] Open
Abstract
Stroke is becoming one of the leading causes of adult disability and death in sub-Saharan African countries. The aim of the present study is to provide an up-to-date account of the clinical and demographic characteristics of patients with stroke admitted to the University of Gondar College of Medicine and Health Science Comprehensive Specialized Hospital (CMHS). A hospital based retrospective study design was used to analyze the medical records of all patients with stroke admitted to CMHS from June 20th 2012 and April 30th 2018. Data were cleaned and entered into SPSS for analysis. Among the 448 patients with stroke admitted to CMHS, 58.0% (n = 260) of patients were female, and 42.0% (n = 188) were male. In the present sample, 141 (31.5%) had an ischemic stroke confirmed by neuroimaging, 82 (18.3%) had a hemorrhagic stroke confirmed by neuroimaging, and 252 (50.2%) had a stroke with undetermined type. The mean age of stroke was 63.9 years (range = 18–100, SD: 15.1 years), with no differences observed between stroke subtypes. The most common symptoms that led to patients seeking medical intervention were hemiparesis (67.4%), communication difficulties (56.0%), facial deviation (37.3%), and globalized headache (36.4%). Hypertension was the most commonly reported risk factor (37.1%), which was more prevalent in hemorrhagic (n = 37, 45.1%) than ischemic stroke patients (n = 53, 37.6%), stroke with undetermined type (n = 76, 33.8%). Stroke places a significant burden on sub-Saharan African countries. Results of the current study highlight the need to develop programs that educate the Ethiopian populace about the risk factors and symptoms of stroke, the importance of seeking medical care within the golden window, and the benefits of neuroimaging to accurately diagnose stroke subtype. In addition, the current study provides hospital administrators with empirical data that they can use to form an interdisciplinary stroke rehabilitation team capable of improving outcomes of Ethiopian patients with stroke.
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Affiliation(s)
- Moges Baye
- Department of Physiotherapy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Amy Hintze
- Health Equity Institute, San Francisco State University, San Francisco, CA, United States
| | - Chloe Gordon-Murer
- Health Equity Institute, San Francisco State University, San Francisco, CA, United States.,Department of Kinesiology, San Francisco State University, San Francisco, CA, United States
| | - Tatiana Mariscal
- Health Equity Institute, San Francisco State University, San Francisco, CA, United States
| | - Gashaw Jember Belay
- Department of Physiotherapy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Aynishet Adane Gebremariam
- Department of Internal Medicine, School of Medicine, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Charmayne M L Hughes
- Health Equity Institute, San Francisco State University, San Francisco, CA, United States.,Department of Kinesiology, San Francisco State University, San Francisco, CA, United States
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13
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Li Y, Zhang X, Sang H, Niu X, Liu T, Liu W, Li J. Urban-rural differences in risk factors for ischemic stroke in northern China. Medicine (Baltimore) 2019; 98:e15782. [PMID: 31124971 PMCID: PMC6571368 DOI: 10.1097/md.0000000000015782] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2019] [Revised: 04/08/2019] [Accepted: 05/01/2019] [Indexed: 12/13/2022] Open
Abstract
This study aims to investigate urban-rural differences in characteristics and risk factors of ischemic stroke in northern China.The present cross-sectional study was based on the High-risk Population Screening and Intervention Project for Stroke. The cluster sampling method was used to select urban and rural screening sites in northern China. By collecting information and screening the data, patients with ischemic stroke were obtained and a control group with similar gender, age, and regional distribution was selected among the nonischemic stroke patients. Then, the demographic and risk factors of patients with ischemic stroke were described and analyzed.The prevalence of ischemic stroke in northern China was 2.88%, with a greater prevalence in rural areas than in urban areas (3.32% vs 2.43%), and a greater prevalence in males than in females (3.06% vs 2.73%). Furthermore, rural stroke patients were younger than urban stroke patients. Hypertension, family history of stroke, and smoking were the top 3 independent risk factors for ischemic stroke. Overweight/obesity and low education were associated with increased ischemic stroke in urban areas, while low education was associated with less ischemic stroke in rural areas. In addition, the prevalence of alcoholism, dyslipidemia, diabetes, and obvious overweight/obesity was greater in urban areas, while high-salt diet and low education and income were more prevalent in rural regions. Moreover, the smoking index was higher in rural areas than in urban areas.The characteristics and risk factors of ischemic stroke differ between rural and urban areas, which could be used to design specific preventative measures.
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Affiliation(s)
- Yang Li
- Department of Neurology, the First Hospital of Shanxi Medical University, Taiyuan
| | - Xin Zhang
- Department of Neurology, with the Coal Group General Hospital, Datong
| | - Hui Sang
- Department of Neurology, Taiyuan Central Hospital, Taiyuan
| | - Xiaoyuan Niu
- Department of Neurology, the First Hospital of Shanxi Medical University, Taiyuan
| | - Tingting Liu
- Department of Neurology, the First Hospital of Shanxi Medical University, Taiyuan
| | - Weidong Liu
- Neurosurgical Department, Liaocheng People's Hospital, Liaocheng
| | - Jian Li
- Department of Neurology, Affiliated Hospital of Weifang Medical University, Weifang, Shandong, China
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14
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Zheng X, Zeng N, Wang A, Zhu Z, Peng H, Zhong C, Xu T, Xu T, Peng Y, Li Q, Ju Z, Geng D, Zhang Y, He J. Family history of stroke and death or vascular events within one year after ischemic stroke. Neurol Res 2019; 41:466-472. [PMID: 30829563 DOI: 10.1080/01616412.2019.1577342] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
BACKGROUND AND AIMS The association between family history of stroke and clinical outcomes after ischemic stroke remains unclear. METHODS A total of 3878 acute ischemic stroke patients from CATIS were included. The participants with ischemic stroke were divided into groups according to types of family history of stroke, stroke onset age and stroke subtypes. The primary outcome was a composite outcome of death and vascular events within 1 year after stroke. Multivariable Cox proportional hazard models were used to analyze the association between family history of stroke and other variables and clinical outcomes. RESULTS Among 3878 ischemic stroke patients, 708 (18.26%) had a history of stroke in their first-degree relatives and 399 experienced a composite outcome (172 patients died and 227 experienced vascular events) within 1 year after stroke. Overall family history was not associated with the primary outcome (HR, 1.08; 95% CI, 0.37-3.19). However, the patients with maternal stroke history (HR, 1.87; 95% CI, 1.31-2.97), stroke onset age<55 years with family history (HR, 2.02; 95% CI, 1.08-3.80) and thrombotic stroke in the patients with family history (HR, 1.46; 95% CI, 1.00-2.12) were associated with primary outcome, death and vascular events, respectively. CONCLUSION This study suggests that maternal stroke history, age<55 years at stroke onset and thrombotic stroke in the patients with a family history are associated with poor outcomes after stroke. Further studies from other samples are needed to replicate our findings due to a reason for excluding some severe stroke patients in this study.
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Affiliation(s)
- Xiaowei Zheng
- a Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases , Medical College of Soochow University , Suzhou , China
| | - Nimei Zeng
- a Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases , Medical College of Soochow University , Suzhou , China
| | - Aili Wang
- a Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases , Medical College of Soochow University , Suzhou , China
| | - Zhengbao Zhu
- a Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases , Medical College of Soochow University , Suzhou , China.,b Department of Epidemiology , Tulane University School of Public Health and Tropical Medicine , New Orleans , LA , USA
| | - Hao Peng
- a Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases , Medical College of Soochow University , Suzhou , China
| | - Chongke Zhong
- a Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases , Medical College of Soochow University , Suzhou , China.,b Department of Epidemiology , Tulane University School of Public Health and Tropical Medicine , New Orleans , LA , USA
| | - Tan Xu
- a Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases , Medical College of Soochow University , Suzhou , China
| | - Tian Xu
- a Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases , Medical College of Soochow University , Suzhou , China.,c Department of Neurology , Affiliated Hospital of Nantong University , Nantong , China
| | - Yanbo Peng
- d Department of Neurology , Affiliated Hospital of North China University of Science and Technology , Hebei , China
| | - Qunwei Li
- e Department of Epidemiology, School of Public Health , Taishan Medical College , Shandong , China
| | - Zhong Ju
- f Department of Neurology , Kerqin District First People's Hospital of Tongliao City , Inner Mongolia , China
| | - Deqin Geng
- g Department of Neurology , Affiliated Hospital of Xuzhou Medical College , Jiangsu , China
| | - Yonghong Zhang
- a Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases , Medical College of Soochow University , Suzhou , China
| | - Jiang He
- b Department of Epidemiology , Tulane University School of Public Health and Tropical Medicine , New Orleans , LA , USA
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15
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Alharithy MK, Alobaylan MM, Alsugair ZO, Alswat KA. Impact of Family History of Diabetes on Diabetes Control and Complications. Endocr Pract 2018; 24:773-779. [PMID: 30308135 DOI: 10.4158/ep-2018-0071] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
OBJECTIVE Our aim was to assess the impact of parental and sibling history of type 2 diabetes (T2D) on patient characteristics, glycemic control, and T2D complications. METHODS This cross-sectional study included adults with T2D. Type 1 diabetes and gestational diabetes patients were excluded. The laboratory data were retrieved from the patients' electronic files, and baseline measurements were obtained by the researchers. RESULTS The study included a total of 511 T2D patients, with a mean age of 60.1 ± 10.9 years and mean hemoglobin A1c of 8.94 ± 2.1% (74.2 ± 22.9 mmol/mol). Of these patients, 54% were male and 49.7% had a parental history of T2D. The patients with parental history of T2D were diagnosed at a younger age and had a higher body mass index (BMI) ( P = .035) and higher waist circumference (WC) ( P = .013) than those T2D patients with no parental history. Approximately 60% of the participants had siblings with a history of T2D, and in comparison with those with no sibling history, they had higher prevalence of cerebrovascular accidents ( P = .02). CONCLUSION Having a parental history of T2D is significantly associated with diagnosis at a younger age and a higher BMI and WC. Having a sibling history of T2D is significantly associated with worse cerebrovascular outcome. ABBREVIATIONS ACR = albumin to creatinine ratio; BMI = body mass index; DBP = diastolic blood pressure; DM = diabetes mellitus; FBG = fasting blood glucose; GFR = glomerular filtration rate; HbA1c = hemoglobin A1c; LDL = low-density lipoprotein; SBP = systolic blood pressure; T2D = type 2 diabetes; TG = triglyceride; WC = waist circumference.
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16
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Khosravi A, Behjati M, Dianatkhah M, Noori F, Sarrafzadegan N, Nejati M. The Effect of Parental Medical History on the Prevalence of Cerebrovascular Diseases in Their Children in an Iranian Population. Basic Clin Neurosci 2018; 9:367-372. [PMID: 30719251 PMCID: PMC6360496 DOI: 10.32598/bcn.9.5.367] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2017] [Revised: 01/10/2018] [Accepted: 05/18/2017] [Indexed: 11/20/2022] Open
Abstract
Introduction: Still a controversial issue, family history is known as a risk factor for the development of Cerebrovascular Diseases (CVD). In this study, we aimed to evaluate the relationship between parental history and risk of CVD in their offspring in Iranian population. Methods: Isfahan Cohort Study (ICS) included total 6504 healthy participants which were randomly selected through a two-stage cluster sampling method from three districts. The participants were followed prospectively for 10 years. The diagnosis of CVD were confirmed by expert panelist. Clinically validated history of CVD was established for definition of parental history of CVD. Types of history were categorized into paternal, maternal, both parents, and no history. Results: The prevalence of CVD is generally higher among female offspring compared with male ones (P<0.001). The relative risk of CVD with maternal history was not significant (95%CI=0.95–2.29). By adjusted model analysis, history of CVD in both parents affected the risk of CVD in their male children (RR=2.13, P=0.033, 95%CI). By crude model analysis, maternal history of CVD (P=0.047), history of CVD in both parents (P=0.032), and maternal history of hypertension (P=0.005) were determined as risk factors of CVD in offspring. Indeed, the mean age of CVD in offspring decreases based on this order: history of hypertension in parents, paternal history of CVD in both parents, maternal history of CVD, and no history (P<0.001). Conclusion: Early and regular screening for CVD development is necessary in female offspring of the families with the present history of CVD from maternal side. This group are at risk and should be considered as the target group for screening and taking preventive measures.
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Affiliation(s)
- Alireza Khosravi
- Hypertension Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Mohaddeseh Behjati
- Interventional Cardiology Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Minoo Dianatkhah
- Heart Failure Research Center, Cardiovascular Research Institute, Isfahan University of Medical Science, Isfahan, Iran
| | - Fatemeh Noori
- Heart Failure Research Center, Cardiovascular Research Institute, Isfahan University of Medical Science, Isfahan, Iran
| | - Nizal Sarrafzadegan
- Heart Failure Research Center, Cardiovascular Research Institute, Isfahan University of Medical Science, Isfahan, Iran
| | - Majid Nejati
- Anatomical Sciences Research Center, Kashan University of Medical Sciences, Kashan, Iran
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Korchagin VI, Mironov KO, Platonov AE, Dribnokhodova OP, Akselrod EV, Dunaeva EA, Raskurazhev AA, Tanashyan MM, Maksimova MY, Illarioshkin SN, Shipulin GA. [Complex assessment of the contribution of genetic factors to the risk of ischemic stroke]. Zh Nevrol Psikhiatr Im S S Korsakova 2018; 117:11-18. [PMID: 29411740 DOI: 10.17116/jnevro201711712211-18] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
AIM To develop a method of the complex assessment of genetic risk for ischemic stroke (IS) and evaluate its effectiveness. MATERIAL AND METHODS Genotyping of 182 patients with atherothrombotic and cardioembolic subtypes of IS and 360 healthy individuals of 48 single nucleotide polymorphic loci (SNP) associated with the risk of II and its subtypes was performed. RESULTS AND CONCLUSION In each group of SNPs, composite indicators of genetic risk of IS in groups of patients and healthy controls were identified. Differences between the calculated values of the genetic risk in these groups were significant (p <0,05). The quality of the binary classification validated by ROC-analysis confirmed the predictive potential of the proposed method of risk calculation for determining the genetic predisposition to the development of IS.
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Affiliation(s)
- V I Korchagin
- Central Research Institute of Epidemiology, Moscow, Russia
| | - K O Mironov
- Central Research Institute of Epidemiology, Moscow, Russia
| | - A E Platonov
- Central Research Institute of Epidemiology, Moscow, Russia
| | | | - E V Akselrod
- Central Research Institute of Epidemiology, Moscow, Russia
| | - E A Dunaeva
- Central Research Institute of Epidemiology, Moscow, Russia
| | | | | | | | | | - G A Shipulin
- Central Research Institute of Epidemiology, Moscow, Russia
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18
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Liu Y, Wang Y, Li WA, Yan A, Wang Y. Validation of the Essen Stroke Risk Score in different subtypes of ischemic stroke. Neurol Res 2017; 39:504-508. [PMID: 28431475 DOI: 10.1080/01616412.2017.1313364] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
OBJECTIVE Predictive scores are important tools for stratifying patients based on their risk of future vascular events and for selecting preventive therapies. The aim of this study is to validate the Essen Stroke Risk Score (ESRS) for stratifying stroke recurrence in different subtypes of non-atrial fibrillation ischemic stroke in a large Chinese cohort. METHODS Data were derived from the Blood pressure and clinical Outcome in Stroke Survivors registry, which includes a cohort of 2204 stroke patients. All patients were further classified according to the TOAST (Trial of Org 10 172 in Acute Stroke Treatment) criteria. We stratified one-year cumulative rates for stroke and composite vascular events using the ESRS. The predictive power of the ESRS was assessed using the area under the receiver-operator curves (AUC). RESULTS Among 1699 patients included in the study, the AUC of ESRS was 0.58 (95% CI: 0.52-0.64) for recurrent stroke, whereas 0.59 (95% CI: 0.53-0.64) for composite vascular events at 1 year. In patients with large-artery atherosclerosis (LAA) subtype of stroke, the AUC of ESRS was both 0.61 (95% CI: 0.54-0.68) for recurrent stroke and composite vascular events. However, no significant AUC was observed in patients with small-artery occlusion subtype of stroke. CONCLUSIONS In patients with LAA subtype of non-atrial fibrillation stroke, the ESRS has moderate accuracy in stratifying the risk of both recurrent strokes and major vascular events within the first year. However, the ESRS couldn't accurately stratify the risk of recurrent strokes in patients with small-artery atherosclerosis subtype of non-atrial fibrillation stroke.
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Affiliation(s)
- Yi Liu
- a Department of Epidemiology and Health Statistics, School of Public Health , Capital Medical University , Beijing , China
| | - Yongjun Wang
- b Department of Neurology , Beijing Tiantan Hospital, Capital Medical University , Beijing , China.,c China National Clinical Research Center for Neurological Diseases , Beijing , China.,d Center of Stroke, Beijing Institute for Brain Disorders , Beijing , China.,e Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease , Beijing , China
| | - William A Li
- f Department of Neurosurgery , Wayne State University School of Medicine , Detroit , USA
| | - Aoshuang Yan
- a Department of Epidemiology and Health Statistics, School of Public Health , Capital Medical University , Beijing , China.,g Beijing Municipal Science & Technology Commission , Beijing , China
| | - Yilong Wang
- b Department of Neurology , Beijing Tiantan Hospital, Capital Medical University , Beijing , China.,c China National Clinical Research Center for Neurological Diseases , Beijing , China.,d Center of Stroke, Beijing Institute for Brain Disorders , Beijing , China.,e Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease , Beijing , China
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