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Hsieh MT, Hsieh CY, Yang TH, Sung SF, Hsieh YC, Lee CW, Lin CJ, Chen YW, Lin KH, Sung PS, Tang CW, Chu HJ, Tsai KC, Chou CL, Lin CH, Wei CY, Chen TY, Yan SY, Chen PL, Hsiao CY, Chan L, Huang YC, Liu HM, Tang SC, Lee IH, Lien LM, Chiou HY, Lee JT, Jeng JS. Associations of diabetes status and glucose measures with outcomes after endovascular therapy in patients with acute ischemic stroke: an analysis of the nationwide TREAT-AIS registry. Front Neurol 2024; 15:1351150. [PMID: 38813247 PMCID: PMC11135283 DOI: 10.3389/fneur.2024.1351150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 04/03/2024] [Indexed: 05/31/2024] Open
Abstract
Background Hyperglycemia affects the outcomes of endovascular therapy (EVT) for acute ischemic stroke (AIS). This study compares the predictive ability of diabetes status and glucose measures on EVT outcomes using nationwide registry data. Methods The study included 1,097 AIS patients who underwent EVT from the Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke. The variables analyzed included diabetes status, admission glucose, glycated hemoglobin (HbA1c), admission glucose-to-HbA1c ratio (GAR), and outcomes such as 90-day poor functional outcome (modified Rankin Scale score ≥ 2) and symptomatic intracranial hemorrhage (SICH). Multivariable analyses investigated the independent effects of diabetes status and glucose measures on outcomes. A receiver operating characteristic (ROC) analysis was performed to compare their predictive abilities. Results The multivariable analysis showed that individuals with known diabetes had a higher likelihood of poor functional outcomes (odds ratios [ORs] 2.10 to 2.58) and SICH (ORs 3.28 to 4.30) compared to those without diabetes. Higher quartiles of admission glucose and GAR were associated with poor functional outcomes and SICH. Higher quartiles of HbA1c were significantly associated with poor functional outcomes. However, patients in the second HbA1c quartile (5.6-5.8%) showed a non-significant tendency toward good functional outcomes compared to those in the lowest quartile (<5.6%). The ROC analysis indicated that diabetes status and admission glucose had higher predictive abilities for poor functional outcomes, while admission glucose and GAR were better predictors for SICH. Conclusion In AIS patients undergoing EVT, diabetes status, admission glucose, and GAR were associated with 90-day poor functional outcomes and SICH. Admission glucose was likely the most suitable glucose measure for predicting outcomes after EVT.
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Affiliation(s)
- Meng-Tsang Hsieh
- Stroke Center and Department of Neurology, Chi-Mei Medical Center, Tainan, Taiwan
- Stroke Center and Department of Neurology, E-Da Hospital, Kaohsiung, Taiwan
| | - Cheng-Yang Hsieh
- Department of Neurology, Tainan Sin Lau Hospital, Tainan, Taiwan
| | - Tzu-Hsien Yang
- Department of Radiology, Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chiayi City, Taiwan
| | - Sheng-Feng Sung
- Division of Neurology, Department of Internal Medicine, Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chiayi City, Taiwan
| | - Yi-Chen Hsieh
- Program in Medical Neuroscience, Taipei Medical University, Taipei, Taiwan
| | - Chung-Wei Lee
- Department of Medical Imaging, National Taiwan University Hospital, Taipei, Taiwan
| | - Chun-Jen Lin
- Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Yu-Wei Chen
- Department of Neurology, Landseed International Hospital, Taoyuan, Taiwan
| | - Kuan-Hung Lin
- Department of Neurology, Chi Mei Medical Center, Tainan, Taiwan
| | - Pi-Shan Sung
- Department of Neurology, National Cheng Kung University Hospital, Tainan, Taiwan
| | - Chih-Wei Tang
- Department of Neurology, Far Eastern Memorial Hospital, New Taipei City, Taiwan
| | - Hai-Jui Chu
- Department of Neurology, En Chu Kong Hospital, New Taipei City, Taiwan
| | - Kun-Chang Tsai
- Department of Neurology, National Taiwan University Hospital, Hsinchu, Taiwan
| | - Chao-Liang Chou
- Department of Neurology, Mackay Memorial Hospital, Taipei, Taiwan
| | - Ching-Huang Lin
- Department of Neurology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
| | - Cheng-Yu Wei
- Department of Neurology, Chang Bing Show Chwan Memorial Hospital, Changhwa County, Taiwan
| | - Te-Yuan Chen
- Department of Neurosurgery, E-Da Hospital, I-Shou University, Kaohsiung, Taiwan
| | - Shang-Yih Yan
- Department of Neurology, Tri Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Po-Lin Chen
- Department of Neurology, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Chen-Yu Hsiao
- Department of Diagnostic Radiology, Shin Kong WHS Memorial Hospital, Taipei, Taiwan
| | - Lung Chan
- Department of Neurology, Taipei Medical University–Shuang Ho Hospital, New Taipei City, Taiwan
| | - Yen-Chu Huang
- Department of Neurology, Chang Gung University College of Medicine, Chang Gung Memorial Hospital, Chiayi, Taiwan
| | - Hon-Man Liu
- Department of Medical Imaging, Fu Jen Catholic University Hospital, New Taipei City, Taiwan
| | - Sung-Chun Tang
- Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan
| | - I-Hui Lee
- Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Li-Ming Lien
- Department of Neurology, Shin Kong WHS Memorial Hospital, Taipei, Taiwan
| | - Hung-Yi Chiou
- School of Public Health, College of Public Health, Taipei Medical University, Taipei, Taiwan
- Institute of Population Health Sciences, National Health Research Institutes, Miaoli County, Taiwan
| | - Jiunn-Tay Lee
- Department of Neurology, Tri Service General Hospital, National Defense Medical Center, Taipei, Taiwan
- Institute of Population Health Sciences, National Health Research Institutes, Miaoli County, Taiwan
| | - Jiann-Shing Jeng
- Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan
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Wang R, Fu J, Wang A, Zhang X, Wei K, Fu X, Wang Y, Hong X, Zhou Y, Liu Y, Huang S, Yue H, Bi Q, Wang Y, Pan Y, Wang F. Increased Two-Hour Post-Load Plasma Glucose Fluctuation Corresponds with Worse Clinical Prognoses among Acute Ischemic Stroke Patients without a History of Diabetes Mellitus. Cerebrovasc Dis 2023; 52:679-691. [PMID: 36893741 DOI: 10.1159/000528935] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Accepted: 12/20/2022] [Indexed: 03/11/2023] Open
Abstract
INTRODUCTION This study aimed to evaluate the relationship between 2-h post-load minus fasting plasma glucose (2hPG-FPG) and 1-year clinical outcomes, such as death, stroke recurrence, and modified Rankin Scale (mRS) ≥2-3 among acute ischemic stroke (AIS) patients without diabetes mellitus (DM) history. METHODS 1,214 AIS patients without DM history, obtained from ACROSS-China, were divided into 4 quartiles, based on 2hPG-FPG measurements obtained 14 days post-admission. Four models were constructed using multivariate Cox and logistic regression analyses, based on the inclusion of age, gender, trial of ORG 10172 in acute stroke treatment, NIH Stroke Scale scores (model 1), plus 10 other clinical parameters (model 2), plus newly diagnosed DM (NDDM) post-admission (model 3), plus 2hPG and FPG (model 4). Associations found from those 4 models between 2hPG-FPG and 1-year clinical outcomes were confirmed via stratification, multiplicative interaction, sensitivity, and restricted cubic spline analyses. RESULTS The highest quartile of 2hPG-FPG, after adjusting for variables, such as stroke severity (model 2), was independently associated with death, stroke recurrence, and mRS ≥2-3 (odds ratio [OR] = 3.95, 2.96, 4.15, and 4.83, respectively, all p < 0.0001). Increased 2hPG-FPG remained independently associated with mRS ≥2-3 in models 3-4, as well as increased mRS ≥2 under stratification analyses among both non-NDDM and NDDM patients. CONCLUSION 2hPG-FPG is a relatively specific indicator of poorer 1-year clinical prognoses among AIS patients, independent of NDDM, 2hPG, and FPG post-hospital admission. Therefore, the oral glucose tolerance test could be a useful approach for detecting a higher likelihood for developing poorer prognoses among patients without DM history.
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Affiliation(s)
- Rui Wang
- Department of Neurology, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, China,
| | - Jin Fu
- Department of Neurology, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Anxin Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Xiaoli Zhang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Ke Wei
- Department of Neurology, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Xuelian Fu
- Department of Endocrinology, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Yifei Wang
- Department of Neurology, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Xiangxiang Hong
- Department of Neurology, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Yinglian Zhou
- Department of Neurology, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Yue Liu
- Department of Neurology, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Shan Huang
- Department of Neurology, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Hui Yue
- Department of Neurology, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Qianqian Bi
- Department of Neurology, Seventh People's Hospital of Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Yongpeng Wang
- Department of Neurology, Seventh People's Hospital of Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Yuesong Pan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Feng Wang
- Department of Neurology, Seventh People's Hospital of Shanghai University of Traditional Chinese Medicine, Shanghai, China
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Li G, Wang C, Wang S, Hao Y, Xiong Y, Zhao X. Clinical Significance of Stress Hyperglycemic Ratio and Glycemic Gap in Ischemic Stroke Patients Treated with Intravenous Thrombolysis. Clin Interv Aging 2022; 17:1841-1849. [DOI: 10.2147/cia.s393952] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Accepted: 12/06/2022] [Indexed: 12/15/2022] Open
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Zhang Y, Jin A, Meng X, Wang M, Li H, Pan Y, Wang Y. Association between diabetes duration and 1-year prognosis of stroke: A national registry study. Brain Behav 2022; 12:e2725. [PMID: 35941828 PMCID: PMC9480956 DOI: 10.1002/brb3.2725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2022] [Revised: 06/05/2022] [Accepted: 07/12/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND AND PURPOSE Diabetes mellitus is a strong independent risk factor for stroke recurrence. However, the association between diabetes duration and the prognosis of stroke remains uncertain. We aimed to characterize whether an association exists between diabetes duration and stroke outcomes in patients with ischemic stroke or transient ischemic attack (TIA). METHODS Between 2015 and 2018, 14,674 patients with ischemic stroke or TIA within 7 days and older than 18 years from the Third China National Stroke Registry (CNSR-III) were included in this analysis. Diabetes duration at baseline was collected by face-to-face interviews and further categorized into groups of without diabetes, diabetes < 4, 4 to <8 and ≥8 years. The association between diabetes duration and clinical outcomes, including stroke recurrence, poor function outcome (modified Rankin Scale score of 3-6), and all-cause mortality at the 1-year follow-up after stroke onset, was evaluated by a multivariable Cox proportional hazard regression model, competing risk model and logistic regression model with adjustment for demographic and clinical features. RESULTS Among the 14,674 patients included, the average age was 62.0 years, and 68.5% were male. There were 1419 (9.7%) patients who had stroke recurrence, 1912 (13.0%) who had poor function outcome, and 478 (3.3%) who had all-cause mortality at the 1-year follow-up. After adjusting for potential covariates, a diabetes duration ≥8 years was associated with an increased risk of 1-year stroke recurrence (adjusted hazards ratio [HR], 1.31; 95% CI, 1.05-1.64; p = .02) in comparison to those without Diabetes mellitus. Using a competing risk regression model, a diabetes duration ≥8 years was a significant risk factor for stroke recurrence (HR, 1.31; 95% CI, 1.12-1.53). In contrast, there was no significant association between diabetes duration < 4, 4 to <8 years and clinical outcomes. CONCLUSIONS Long-term diabetes duration (≥8 years), but not short-term diabetes duration, was associated with an increased risk of 1-year stroke recurrence in patients with ischemic stroke or TIA.
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Affiliation(s)
- Yanli Zhang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Aoming Jin
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Xia Meng
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Mengxing Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Hao Li
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yuesong Pan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yongjun Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.,Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
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Nave AH, Kaynak N, Mai K, Siegerink B, Laufs U, Heuschmann PU, Liman TG, Ebinger M, Endres M. Combined Oral Triglyceride and Glucose Tolerance Test After Acute Ischemic Stroke to Predict Recurrent Vascular Events: The Berlin “Cream&Sugar” Study. Stroke 2022; 53:2512-2520. [DOI: 10.1161/strokeaha.122.038732] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background:
Elevated triglyceride and glucose levels are associated with an increased cardiovascular disease risk including ischemic stroke. It is not known whether the response to a combined oral triglyceride and glucose challenge after ischemic stroke improves identification of patients with increased risk for recurrent vascular events.
Methods:
The prospective, observational Berlin “Cream&Sugar” study was conducted at 3 different university hospital sites of the Charité–Universitätsmedizin Berlin, Germany, between January 24, 2009 and July 31, 2017. Patients with first-ever ischemic stroke were recruited 3 to 7 days after stroke. An oral triglyceride tolerance test (OTTT) and consecutive blood tests before (t
0
) as well as 3 (t
1
), 4 (t
2
), and 5 hours (t
3
) after OTTT were performed in fasting patients. An oral glucose tolerance test was performed in all nondiabetic patients 3 hours after the start of OTTT. Outcomes of the study were recurrent fatal or nonfatal stroke as well as a composite vascular end point including stroke, transient ischemic attack, myocardial infarction, coronary revascularization, and cardiovascular death assessed 1 year after stroke. Cox regression models were used to estimate hazard ratios and corresponding 95% CIs between patients with high versus low levels of triglyceride and glucose levels.
Results:
Overall 755 patients were included; 523 patients completed OTTT and 1-year follow-up. Patients were largely minor strokes patients with a median National Institutes of Health Stroke Scale score of 1 (0–3). Comparing highest versus lowest quartiles of triglyceride levels, neither fasting (adjusted hazard ratio
t0
, 1.24 [95% CI, 0.45–3.42]) nor postprandial triglyceride levels (adjusted hazard ratio
t3
, 0.44 [95% CI, 0.16–1.25]) were associated with recurrent stroke. With regard to recurrent vascular events, results were similar for fasting triglycerides (adjusted hazard ratio
t0
, 1.09 [95% CI, 0.49–2.43]), however, higher postprandial triglyceride levels were significantly associated with a lower risk for recurrent vascular events (adjusted hazard ratio
t3
, 0.42 [95% CI, 0.18–0.95]). No associations were observed between fasting and post–oral glucose tolerance test blood glucose levels and recurrent vascular risk. All findings were irrespective of the diabetic status of patients.
CONCLUSIONS:
In this cohort of patients with first-ever‚ minor ischemic stroke, fasting triglyceride or glucose levels were not associated with recurrent stroke at one year after stroke. However, higher postprandial triglyceride levels were associated with a lower risk of recurrent vascular events which requires further validation in future studies. Overall, our results do not support the routine use of a combined OTTT/oral glucose tolerance test to improve risk prediction for recurrent stroke.
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Affiliation(s)
- Alexander H. Nave
- Center for Stroke Research Berlin (CSB), Charité – Universitätsmedizin Berlin, Germany. (A.H.N., N.K.‚ T.G.L., M. Endres)
- Klinik und Hochschulambulanz für Neurologie, Charité – Universitätsmedizin Berlin, Germany. (A.H.N., N.K.‚ T.G.L., M. Endres)
- DZHK (German Center for Cardiovascular Research), partner site Berlin, Germany (A.H.N., K.M., M. Endres)
- Berlin Institute of Health (BIH), Berlin, Germany (A.H.N., K.M., M. Endres)
| | - Nurcennet Kaynak
- Center for Stroke Research Berlin (CSB), Charité – Universitätsmedizin Berlin, Germany. (A.H.N., N.K.‚ T.G.L., M. Endres)
- Klinik und Hochschulambulanz für Neurologie, Charité – Universitätsmedizin Berlin, Germany. (A.H.N., N.K.‚ T.G.L., M. Endres)
| | - Knut Mai
- DZHK (German Center for Cardiovascular Research), partner site Berlin, Germany (A.H.N., K.M., M. Endres)
- Berlin Institute of Health (BIH), Berlin, Germany (A.H.N., K.M., M. Endres)
- Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Endocrinology and Metabolism, Germany (K.M.)
| | - Bob Siegerink
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands (B.S.)
| | - Ulrich Laufs
- Klinik für Kardiologie – Universitätsklinik Leipzig, Germany (U.L.)
| | - Peter U. Heuschmann
- Institute of Clinical Epidemiology and Biometry, University Würzburg, Germany (P.U.H.)
- Clinical Trial Center Würzburg, University Hospital Würzburg, Germany (P.U.H.)
| | - Thomas G. Liman
- Center for Stroke Research Berlin (CSB), Charité – Universitätsmedizin Berlin, Germany. (A.H.N., N.K.‚ T.G.L., M. Endres)
- Klinik und Hochschulambulanz für Neurologie, Charité – Universitätsmedizin Berlin, Germany. (A.H.N., N.K.‚ T.G.L., M. Endres)
| | - Martin Ebinger
- Rehabilitationsklinik Medical Park, Humboldtmühle, Berlin, Germany (M. Ebinger)
| | - Matthias Endres
- Center for Stroke Research Berlin (CSB), Charité – Universitätsmedizin Berlin, Germany. (A.H.N., N.K.‚ T.G.L., M. Endres)
- Klinik und Hochschulambulanz für Neurologie, Charité – Universitätsmedizin Berlin, Germany. (A.H.N., N.K.‚ T.G.L., M. Endres)
- DZHK (German Center for Cardiovascular Research), partner site Berlin, Germany (A.H.N., K.M., M. Endres)
- Berlin Institute of Health (BIH), Berlin, Germany (A.H.N., K.M., M. Endres)
- Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), partner site Berlin, Germany (M. Endres)
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Prevalence and In-hospital outcomes of diabetes among acute ischemic stroke patients in china: results from the Chinese Stroke Center Alliance. J Neurol 2022; 269:4772-4782. [PMID: 35511281 PMCID: PMC9363385 DOI: 10.1007/s00415-022-11112-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2022] [Revised: 03/27/2022] [Accepted: 03/28/2022] [Indexed: 12/15/2022]
Abstract
Background Patients with ischemic stroke and diabetes are classified as extreme risk for secondary prevention, with much attention and specific management. However, the up-to-date information regarding the burden of diabetes in acute ischemic stroke (AIS) patients is lacking in China, and evidence for an association between diabetes and in-hospital outcomes after AIS remains controversial. Methods This quality improvement study was conducted at 1,476 participating hospitals in the Chinese Stroke Center Alliance between 2015 and 2019. Prevalence of diabetes was evaluated in the overall study population and different subgroups. The association between diabetes and in-hospital outcomes in AIS patients was analyzed by using multivariable logistic regression analysis and propensity score-matched analysis. Results Of 838,229 patients with AIS, 286,252 (34.2%) had diabetes/possible diabetes. The prevalence of diabetes/possible diabetes was higher in women than in men (37.6% versus 32.1%). Patients with diabetes/possible diabetes had higher rates of adverse in-hospital outcomes than those without. Multivariable analysis revealed a significant association between diabetes/possible diabetes and adverse in-hospital outcomes (all-cause mortality: odds ratio [OR], 1.30 [95% confidence interval [CI], 1.23–1.38]; major adverse cardiovascular events (MACEs): OR, 1.08 [95% CI, 1.06–1.10]) in AIS patients. The excess risk of in-hospital outcomes still remained in AIS patients with diabetes/possible diabetes after propensity score-matching analysis (all-cause mortality: OR, 1.26 [95% CI, 1.17–1.35]; MACEs: OR, 1.07 [95% CI, 1.05–1.10]). Conclusion Diabetes was highly prevalent among AIS patients in China and associated with worse in-hospital outcomes. Greater efforts to increase targeted approach to secondary prevention treatments of diabetes in AIS patients are warranted. Supplementary Information The online version contains supplementary material available at 10.1007/s00415-022-11112-z.
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Wang A, Cui T, Wang C, Zhu Q, Zhang X, Li S, Yang Y, Shang W, Wu B. Prognostic Significance of Admission Glucose Combined with Hemoglobin A1c in Acute Ischemic Stroke Patients with Reperfusion Therapy. Brain Sci 2022; 12:brainsci12020294. [PMID: 35204058 PMCID: PMC8869904 DOI: 10.3390/brainsci12020294] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2022] [Revised: 02/07/2022] [Accepted: 02/12/2022] [Indexed: 02/05/2023] Open
Abstract
Background: Elevated admission glucose and hemoglobin A1c (HbA1c) levels have been suggested to be associated with 90-day functional outcomes in acute ischemic stroke (AIS) patients with endovascular thrombectomy (EVT). However, whether the prognostic significance of admission glucose and that of HbA1c have a joint effect on patients with intravascular thrombolysis (IVT) and/or EVT remains unclear. This study aimed to explore the association between admission glucose combined with HbA1c and outcomes in patients with reperfusion therapy. Methods: Consecutive AIS patients treated with IVT and/or EVT between 2 January 2018 and 27 February 2021 in West China hospital were enrolled. Admission glucose and HbA1c levels were measured at admission. Participants were divided into four groups according to admission glucose level (categorical variable: <7.8 and ≥7.8 mmol/L) and HbA1c level (categorical variable: <6.5% and ≥6.5%): normal glucose and normal HbA1c (NGNA), normal glucose and high HbA1c (NGHA), high glucose and normal HbA1c (HGNA), and high glucose and high HbA1c (HGHA). The primary outcome was an unfavorable functional outcome defined as a modified Rankin Scale (mRS) ≥ 3. The secondary outcome was all-cause mortality at 90 days. Results: A total of 519 patients (mean age, 69.0 ± 13.4 years; 53.8% males) were included. Patients in the HGHA group had a significantly increased risk of unfavorable functional outcome (OR, 1.81; 95%CI, 1.01–3.23) and mortality (OR, 1.75; 95%CI, 1.01–3.06) at 90 days compared with those in the NGNA group after adjustment for confounders. There was no significant association between NGHA (OR, 0.43; 95%CI, 0.12–1.53) or HGNA (OR, 1.46; 95%CI, 0.84–2.56) and outcomes compared to the NGNA group. Conclusion: The combination of high admission glucose and high HbA1c level was significantly associated with unfavorable functional outcome and mortality at 90 days in AIS patients with reperfusion therapy.
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Affiliation(s)
- Anmo Wang
- Center of Cerebrovascular Diseases, Department of Neurology, West China Hospital, Sichuan University, Chengdu 610041, China; (A.W.); (T.C.); (X.Z.); (S.L.); (Y.Y.); (W.S.)
| | - Ting Cui
- Center of Cerebrovascular Diseases, Department of Neurology, West China Hospital, Sichuan University, Chengdu 610041, China; (A.W.); (T.C.); (X.Z.); (S.L.); (Y.Y.); (W.S.)
| | - Changyi Wang
- Department of Rehabilitation Medicine Center, West China Hospital, Sichuan University, Chengdu 610041, China;
| | - Qiange Zhu
- The Second Department of Neurology, Shanxi Provincial People’s Hospital, Xi’an 710068, China;
| | - Xuening Zhang
- Center of Cerebrovascular Diseases, Department of Neurology, West China Hospital, Sichuan University, Chengdu 610041, China; (A.W.); (T.C.); (X.Z.); (S.L.); (Y.Y.); (W.S.)
| | - Shucheng Li
- Center of Cerebrovascular Diseases, Department of Neurology, West China Hospital, Sichuan University, Chengdu 610041, China; (A.W.); (T.C.); (X.Z.); (S.L.); (Y.Y.); (W.S.)
| | - Yuan Yang
- Center of Cerebrovascular Diseases, Department of Neurology, West China Hospital, Sichuan University, Chengdu 610041, China; (A.W.); (T.C.); (X.Z.); (S.L.); (Y.Y.); (W.S.)
| | - Wenzuo Shang
- Center of Cerebrovascular Diseases, Department of Neurology, West China Hospital, Sichuan University, Chengdu 610041, China; (A.W.); (T.C.); (X.Z.); (S.L.); (Y.Y.); (W.S.)
| | - Bo Wu
- Center of Cerebrovascular Diseases, Department of Neurology, West China Hospital, Sichuan University, Chengdu 610041, China; (A.W.); (T.C.); (X.Z.); (S.L.); (Y.Y.); (W.S.)
- Correspondence: ; Tel.: +86-189-8060-2142
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Zhang L, Li X, Wolfe CDA, O'Connell MDL, Wang Y. Diabetes As an Independent Risk Factor for Stroke Recurrence in Ischemic Stroke Patients: An Updated Meta-Analysis. Neuroepidemiology 2021; 55:427-435. [PMID: 34673640 DOI: 10.1159/000519327] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Accepted: 08/26/2021] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION Stroke and its recurrence and diabetes will increase in incidence as the population ages globally. This study explores the relationship between diabetes and stroke recurrence to understand if diabetes is an independent predictor for stroke recurrence in ischemic stroke (IS) patients. METHODS We conducted a systematic review and meta-analysis of studies on the effect of diabetes on stroke recurrence among patients with IS. We searched population-based studies published before 15th February 2021 in PubMed and EMBASE following PRISMA guidelines. Random-effects estimates of the pooled hazard ratio (HR) and 95% confidence intervals (CIs) of each study were generated. A funnel plot and an Egger test were performed to evaluate publication bias. All statistical analyses were conducted in the R software 4.0.1 and Stata 16.0. RESULTS The search identified 3,121 citations, of which 27 studies met inclusion criteria. Diabetes was associated with a significant risk of stroke recurrence in all IS patients (pooled HR, 1.50; 95% CI: 1.36-1.65; I2 = 61.0%). Similar results were found in lacunar stroke patients with diabetes (pooled HR, 1.65; 95% CI: 1.41-1.92; I2 = 22.0%). Moreover, we found that the risk of recurrent IS among patients of IS with diabetes was higher than that in those without diabetes (pooled HR, 1.53; 95% CI: 1.30-1.81; I2 = 74.0%). CONCLUSION Diabetes is an independent risk factor for stroke recurrence among patients with IS.
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Affiliation(s)
- Li Zhang
- School of Population Health and Environmental Sciences, King's College London, London, United Kingdom
| | - Xianqi Li
- School of Population Health and Environmental Sciences, King's College London, London, United Kingdom
| | - Charles D A Wolfe
- School of Population Health and Environmental Sciences, King's College London, London, United Kingdom.,National Institute for Health Research (NIHR) Biomedical Research Centre (BRC), Guy's and St Thomas' NHS Foundation Trust and King's College London, London, United Kingdom.,NIHR Applied Research Collaboration (ARC) South London, London, United Kingdom
| | - Matthew D L O'Connell
- School of Population Health and Environmental Sciences, King's College London, London, United Kingdom
| | - Yanzhong Wang
- School of Population Health and Environmental Sciences, King's College London, London, United Kingdom.,National Institute for Health Research (NIHR) Biomedical Research Centre (BRC), Guy's and St Thomas' NHS Foundation Trust and King's College London, London, United Kingdom.,NIHR Applied Research Collaboration (ARC) South London, London, United Kingdom
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9
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Cho KH, Kwon SU, Lee JS, Yu S, Cho AH. Newly diagnosed diabetes has high risk for cardiovascular outcome in ischemic stroke patients. Sci Rep 2021; 11:12929. [PMID: 34155277 PMCID: PMC8217241 DOI: 10.1038/s41598-021-92349-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2021] [Accepted: 05/24/2021] [Indexed: 12/04/2022] Open
Abstract
We investigated cardiovascular outcomes in ischemic stroke patients with newly diagnosed diabetes mellitus (DM) compared with those of patients with previously known DM and no DM using the glycosylated hemoglobin (HbA1c) criteria. The relationship between new DM diagnosis and cardiovascular risk remains unclear to date. We performed post hoc analysis using the data of participants from the Prevention of Cardiovascular events in iSchemic Stroke patients with high risk of cerebral hemOrrhage (PICASSO) trial. Newly diagnosed DM was defined as HbA1c of ≥ 6.5% without known DM history. The outcome was the incidence of composite cardiovascular events, including stroke (ischemic and hemorrhagic), myocardial infarction, and cardiovascular death. In total, 1306 patients were included; 38 patients (2.9%) had newly diagnosed DM; 438 patients (33.5%), known DM; and 830 patients (63.6%), no DM. In patients with newly diagnosed DM, known DM, and no DM, the incidence of ischemic stroke was 8.93, 3.79, and 2.64 per 100 person-years (log-rank test; p = 0.0092), while that of composite cardiovascular events was 8.93, 5.92, and 3.87 per 100 person-years (p = 0.025), respectively. Newly diagnosed DM was an important risk factor for ischemic stroke and composite cardiovascular events after ischemic stroke. Registration: URL: https://www.clinicaltrials.gov. Unique identifier: NCT01013532.
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Affiliation(s)
- Kyung-Hee Cho
- Department of Neurology, Korea University Anam Hospital, Korea University College of Medicine, Seoul, South Korea
| | - Sun U Kwon
- Department of Neurology, Asan Institute for Life Sciences, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
| | - Ji Sung Lee
- Clinical Research Center, Asan Institute for Life Sciences, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Sungwook Yu
- Department of Neurology, Korea University Anam Hospital, Korea University College of Medicine, Seoul, South Korea
| | - A-Hyun Cho
- Department of Neurology, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea
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10
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Bao Y, Gu D. Glycated Hemoglobin as a Marker for Predicting Outcomes of Patients With Stroke (Ischemic and Hemorrhagic): A Systematic Review and Meta-Analysis. Front Neurol 2021; 12:642899. [PMID: 33868148 PMCID: PMC8044393 DOI: 10.3389/fneur.2021.642899] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Accepted: 02/16/2021] [Indexed: 12/25/2022] Open
Abstract
Background: Glycated hemoglobin (HbA1c) has emerged as a useful biochemical marker reflecting the average glycemic control over the last 3 months, and the values are not affected by short-term transient changes in blood glucose levels. However, its prognostic value in the acute neurological conditions such as stroke is still not well-established. The present meta-analysis was conducted to assess the relationship of HbA1c with outcomes such as mortality, early neurological complications, and functional dependence in stroke patients. Methods: A systematic search was conducted for the PubMed, Scopus, and Google Scholar databases. Studies, either retrospective or prospective in design that examined the relationship between HbA1c with outcomes of interest and presented the strength of association in the form of adjusted odds ratio/hazard ratios were included in the review. Statistical analysis was done using STATA version 13.0. Results: A total of 22 studies (15 studies on acute ischemic stroke and seven studies on hemorrhagic stroke) were included in the meta-analysis. For patients with acute ischemic stroke, each unit increase in HbA1c was found to be associated with an increased risk of mortality within 1 year, increased risk of poor functional outcome at 3 months, and an increased risk of symptomatic intracranial hemorrhage (sICH) within 24 h of admission. In those with HbA1c ≥ 6.5%, there was an increased risk of mortality within 1 year of admission, increased risk of poor functional outcomes at 3 and 12 months as well as an increased risk of symptomatic intracranial hemorrhage (sICH) within 24 h of admission. In patients with hemorrhagic stroke, each unit increase in HbA1c was found to be associated with increased risk of poor functional outcome within the first 3 months from the time of admission for stroke. In those with HbA1c ≥ 6.5%, there was an increased risk of poor functional outcome at 12 months. Conclusions: The findings indicate that glycated hemoglobin (HbA1c) could serve as a useful marker to predict the outcomes in patients with stroke and aid in the implementation of adequate preventive management strategies at the earliest.
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Affiliation(s)
- Yaya Bao
- Shaoxing University Medical College, Shaoxing, China
| | - Dadong Gu
- Department of Neurology, Zhuji Affiliated Hospital of Shaoxing University, Zhuji, China
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11
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Guo Y, Wang G, Jing J, Wang A, Zhang X, Meng X, Zhao X, Liu L, Li H, Wang D, Wang Y, Wang Y. Stress hyperglycemia may have higher risk of stroke recurrence than previously diagnosed diabetes mellitus. Aging (Albany NY) 2021; 13:9108-9118. [PMID: 33752174 PMCID: PMC8034909 DOI: 10.18632/aging.202797] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Accepted: 11/25/2020] [Indexed: 01/04/2023]
Abstract
We aim to evaluate the risk of stroke recurrence among non-diabetes mellitus (non-DM), previously diagnosed diabetes mellitus (PDDM), newly diagnosed diabetes mellitus-related hyperglycemia (NDDM-RH) and stress hyperglycemia after minor stroke or TIA. Totally, 3026 patients with baseline fasting glucose and glycated albumin from the CHANCE trial (Clopidogrel in High-Risk Patients with Acute Nondisabling Cerebrovascular Events) were included. Patients were classified as non-DM, PDDM, NDDM-RH and stress hyperglycemia according to the status of glucose metabolism. The primary outcome was stroke recurrence during 90-day follow up. Cox regression was performed to estimate the relationship between the status of glucose metabolism and risk of 90-day stroke recurrence. Compared with PDDM, NDDM-RH had a similar risk of 90-day stroke recurrence (hazard ratios [HR]1.39, 95% confidence intervals [CI] 0.94-2.04), while stress hyperglycemia had approximately a 5.3-fold increased risk of 90-day stroke recurrence after adjusted for confounding covariates (HR 5.32, 95% CI 3.43-8.26). Parallel results were found for 90-day recurrent ischemic stroke and composite events. Compared with PDDM in minor stroke or TIA, a parallel risk of 90-day stroke recurrence were observed for NDDM-RH, while stress hyperglycemia might relate to higher risk of 90-day stroke recurrence.
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Affiliation(s)
- Yuzhou Guo
- 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.,Department of Neurology, The Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China
| | - Guangyao 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
| | - Jing Jing
- 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.,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
| | - Xiaoli Zhang
- 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
| | - Xia Meng
- 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
| | - Liping Liu
- 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
| | - Hao Li
- 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
| | - David Wang
- Neurovascular Division, Department of Neurology, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, AZ 85013, USA
| | - Yongjun 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
| | - Yilong 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
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12
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Guo Z, Wu X, Fan W. Clarifying the effects of diabetes on the cerebral circulation: Implications for stroke recovery and beyond. Brain Res Bull 2021; 171:67-74. [PMID: 33662495 DOI: 10.1016/j.brainresbull.2021.02.025] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2020] [Revised: 02/21/2021] [Accepted: 02/26/2021] [Indexed: 02/07/2023]
Abstract
Given the sheer increased number of victims per year and the availability of only one effective treatment, acute ischemic stroke (AIS) remains to be one of the most under-treated serious diseases. Diabetes not only increases the incidence of ischemic stroke, but amplifies the ischemic damage, upon which if patients with diabetes suffer from stroke, he/she will confront increased risks of long-term functional deficits. The grim reality makes it a pressing need to intensify efforts at the basic science level to understand how diabetes impairs stroke recovery. This review retrospects the clinical and experimental studies in order to elucidate the detrimental effect of diabetes on cerebrovascular circulation including the major arteries/arterioles, collateral circulation, and neovascularization to shed light on further exploration of novel strategies for cerebral circulation protection before and after AIS in patients with diabetes.
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Affiliation(s)
- Zhihui Guo
- Department of Neurology, Zhongshan Hospital, Fudan University, 200032, Shanghai, China
| | - Xuqing Wu
- Department of Neurology, Zhongshan Hospital, Fudan University, 200032, Shanghai, China
| | - Wei Fan
- Department of Neurology, Zhongshan Hospital, Fudan University, 200032, Shanghai, China.
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13
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Chen J, Sun H, Qiu S, Tao H, Yu J, Sun Z. Lipid Accumulation Product Combined With Urine Glucose Excretion Improves the Efficiency of Diabetes Screening in Chinese Adults. Front Endocrinol (Lausanne) 2021; 12:691849. [PMID: 34497582 PMCID: PMC8419462 DOI: 10.3389/fendo.2021.691849] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Accepted: 08/04/2021] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND To compare the efficacy of lipid accumulation product (LAP) and urine glucose excretion (UGE) in predicting diabetes and evaluate whether the combination of LAP and UGE would help to improve the efficacy of using LAP alone or UGE alone in identifying diabetes. METHODS Data from 7485 individuals without prior history of diabetes who participated in a cross-sectional survey in Jiangsu, China, were analyzed. Each participant underwent an oral glucose-tolerance test. Operating characteristic curves (ROC) and logistic regression analyses were used to evaluate the performance of LAP and UGE in identification of newly diagnosed diabetes (NDM) and prediabetes (PDM). RESULTS For subjects with NDM, the area under the ROC curve was 0.72 for LAP and 0.85 for UGE, whereas for PDM, these values were 0.62 and 0.61, respectively. Furthermore, LAP exhibited a comparable sensitivity with UGE in detecting NDM (76.4% vs 76.2%, p = 0.31). In predicting PDM, LAP showed a higher sensitivity than UGE (66.4% vs 42.8%, p < 0.05). The combination of LAP and UGE demonstrated a significantly higher sensitivity than that of LAP alone and UGE alone for identification of NDM (93.6%) and PDM (80.1%). Moreover, individuals with both high LAP and high UGE had significantly increased risk of NDM and PDM than those with both low LAP and low UGE. CONCLUSIONS The combination of LAP and UGE substantially improved the efficacy of using LAP and using UGE alone in detecting diabetes, and may be a novel approach for mass screening in the general population.
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Affiliation(s)
- Juan Chen
- Department of Endocrinology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China
- Department of Endocrinology, Zhongda Hospital, Institute of Diabetes, Medical School, Southeast University, Nanjing, China
| | - Hong Sun
- Department of Endocrinology and Metabolism, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Shanhu Qiu
- Department of Endocrinology, Zhongda Hospital, Institute of Diabetes, Medical School, Southeast University, Nanjing, China
- Department of Endocrinology, Shenzhen People’s Hospital, The Second Clinical Medical College of Jinan University, The First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, China
| | - Hu Tao
- School of Mechanical Engineering, and Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments, Southeast University, Nanjing, China
| | - Jiangyi Yu
- Department of Endocrinology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China
- *Correspondence: Zilin Sun, ; Jiangyi Yu,
| | - Zilin Sun
- Department of Endocrinology, Zhongda Hospital, Institute of Diabetes, Medical School, Southeast University, Nanjing, China
- *Correspondence: Zilin Sun, ; Jiangyi Yu,
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14
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Matz K, Tuomilehto J, Teuschl Y, Dachenhausen A, Brainin M. Comparison of oral glucose tolerance test and HbA1c in detection of disorders of glucose metabolism in patients with acute stroke. Cardiovasc Diabetol 2020; 19:204. [PMID: 33278898 PMCID: PMC7719250 DOI: 10.1186/s12933-020-01182-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Accepted: 11/27/2020] [Indexed: 12/23/2022] Open
Abstract
Background Diabetes is an increasingly important risk factor for ischemic stroke and worsens stroke prognosis. Yet a large proportion of stroke patients who are eventually diabetic are undiagnosed. Therefore, it is important to have sensitive assessment of unrecognized hyperglycaemia in stroke patients. Design Secondary outcome analysis of a randomized controlled trial focussing on parameters of glucose metabolism and detection of diabetes and prediabetes in patients with acute ischemic stroke (AIS). Methods A total of 130 consecutively admitted patients with AIS without previously known type 2 diabetes mellitus (T2DM) were screened for diabetes or prediabetes as part of secondary outcome analysis of a randomized controlled trial that tested lifestyle intervention to prevent post-stroke cognitive decline. Patients had the oral glucose tolerance test (OGTT) and glycated hemoglobin (HbA1c) measurements in the second week after stroke onset and after 1 year. The detection rates of diabetes and prediabetes based on the OGTT or HbA1c values were compared. Results By any of the applied tests at the second week after stroke onset 62 of 130 patients (48%) had prediabetes or T2DM. Seventy-five patients had results from both tests available, the OGTT and HbA1c; according to the OGTT 40 (53.3%) patients had normal glucose metabolism, 33 (44%) had prediabetes, two (2.7%) T2DM. In 50 (66.7%) patients the HbA1c results were normal, 24 (32%) in the prediabetic and one (1.3%) in the diabetic range. The detection rate for disorders of glucose metabolism was 10% higher (absolute difference; relative difference 29%) with the OGTT compared with HbA1c. After 1 year the detection rate for prediabetes or T2DM was 7% higher with the OGTT (26% relative difference). The study intervention led to a more favourable evolution of glycemic status after 1 year. Conclusion The OGTT is a more sensitive screening tool than HbA1c for the detection of previously unrecognized glycemic disorders in patients with acute stroke with an at least a 25% relative difference in detection rate. Therefore, an OGTT should be performed in all patients with stroke with no history of diabetes. Trial registrationhttp://clinicaltrials.gov. Unique identifier: NCT01109836.
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Affiliation(s)
- Karl Matz
- Department for Clinical Neurosciences and Preventive Medicine, Danube University Krems, Krems, Austria. .,Department of Neurology, Landesklinikum Baden-Mödling, Mödling, Austria.
| | - Jaakko Tuomilehto
- Department for Clinical Neurosciences and Preventive Medicine, Danube University Krems, Krems, Austria.,Department of Public Health, University of Helsinki, Helsinki, Finland.,Public Health Promotion Unit, Finnish Institute for Health and Welfare, Helsinki, Finland.,National School of Public Health, Madrid, Spain.,Diabetes Research Group, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Yvonne Teuschl
- Department for Clinical Neurosciences and Preventive Medicine, Danube University Krems, Krems, Austria
| | - Alexandra Dachenhausen
- Department for Clinical Neurosciences and Preventive Medicine, Danube University Krems, Krems, Austria
| | - Michael Brainin
- Department for Clinical Neurosciences and Preventive Medicine, Danube University Krems, Krems, Austria
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15
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Guan S, Zhang X, Liu H, Zhang Y, Hou C, Ji X, Fang X. Is functional disability a risk equivalent to the comorbidity of multi-vascular risk factors for cardiovascular events and all-cause death? A 5-year follow-up study. Top Stroke Rehabil 2020; 27:553-562. [PMID: 32172677 DOI: 10.1080/10749357.2020.1738661] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
Background/objectives: Functional disability (FD) is common after stroke and associated with the occurrence of future adverse events; however, whether FD is as strong a risk factor as comorbid vascular risk factors for cardiovascular events and death is unclear. Methods: Consecutive patients 3-6 months after index ischemic stroke were assessed at baseline and followed up for documented new cardiovascular events (recurrent stroke, acute myocardial infarction, and sudden death) and death within 5 years. Comorbidity of vascular risk factors was stratified as low or intermediate-to-high risk according to the Stroke Prognostic Instrument II. Four mutually exclusive cohorts were identified (1) intermediate-to-high risk only, n = 505, (2) FD only, n = 78, (3) both intermediate-to-high risk and FD, n = 264, and (4) low risk and no FD, n = 240. Results: The incidence of cardiovascular events was lowest in patients free of FD with low risk, followed by patients with FD alone, intermediate-to-high risk alone, and both. Compared with intermediate-to-high risk only, patients free of FD with low risk had a significantly lower adjusted hazard ratio (HR) (HR: 0.56, 95% confidence interval [CI]: 0.33-0.94), patients with FD only had a similar HR (HR: 0.47, 95% CI: 0.19 -1.18), and patients with both FD and intermediate-to-high risk had a significantly higher HR (HR: 2.13, 95% CI: 1.53-2.98) of cardiovascular events. A similar trend but a larger HR was noted for all-cause death. Conclusion: FD 3-6 months after ischemic stroke is a risk equivalent to comorbidity of conventional vascular risk factors for the incidence of cardiovascular events and mortality of all-cause death.
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Affiliation(s)
- Shaochen Guan
- Evidence-based Medical Center, Xuanwu Hospital, Capital Medical University , Beijing, China
| | - Xinqing Zhang
- Department of Neurology, Xuanwu Hospital, Capital Medical University , Beijing, China
| | - Hongjun Liu
- Evidence-based Medical Center, Xuanwu Hospital, Capital Medical University , Beijing, China
| | - Yanlei Zhang
- Department of Geriatrics, Xuanwu Hospital, Capital Medical University , Beijing, China
| | - Chengbei Hou
- Evidence-based Medical Center, Xuanwu Hospital, Capital Medical University , Beijing, China
| | - Xunming Ji
- Department of Geriatrics, Xuanwu Hospital, Capital Medical University , Beijing, China
| | - Xianghua Fang
- Evidence-based Medical Center, Xuanwu Hospital, Capital Medical University , Beijing, China
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16
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Šimić S, Svaguša T, Prkačin I, Bulum T. Relationship between hemoglobin A1c and serum troponin in patients with diabetes and cardiovascular events. J Diabetes Metab Disord 2020; 18:693-704. [PMID: 31890693 DOI: 10.1007/s40200-019-00460-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2019] [Accepted: 10/24/2019] [Indexed: 12/11/2022]
Abstract
Objectives Diabetes mellitus is a group of metabolic disorders associated with high risk for cardiovascular disease. Although troponins are primarily clinically used for the diagnosis of acute coronary syndrome, they are also used in risk assessment in patients with acute coronary syndrome as well as in a number of other conditions. The aim of this review was to investigate the relationship between hemoglobin A1c and serum troponin in patients with diabetes and cardiovascular events. Methods Hemoglobin A1c has been chosen as the best clinical indicator of glucose control and risk of micro and macrovascular complications. We investigated cardiac troponins as a group of markers of muscle injury which includes troponin T, troponin I and troponin C. Troponin T and I are specific for myocardial injury, compared to C which is specific for skeletal muscle. Results In this review, we showed that there was a causal relation between hemoglobin A1c levels and serum troponin concentrations. Hemoglobin A1c has shown to be a positive predictive factor of incidence, mortality and morbidity of conditions such as acute coronary syndrome, arrhythmias, stroke, pulmonary embolism and other conditions that causes troponin elevation by its release in circulation. Conclusions Chronic hyperglycemia decreases glomerular filtration and consequently decreases troponin elimination and also by affecting the heart microcirculation it leads to microvascular damage and consequently to ischemia which contribute to troponin concentration elevation. Furthermore, correlation between hemoglobin A1c and troponin concentration manifests in their prognostic value for mortality.
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Affiliation(s)
- Stjepan Šimić
- 1School of Medicine, University of Zagreb, Šalata 3, 10000 Zagreb, Croatia
| | - Tomo Svaguša
- 1School of Medicine, University of Zagreb, Šalata 3, 10000 Zagreb, Croatia
- 2Department of Internal Medicine, Dubrava University Hospital, Zagreb, Croatia
| | - Ingrid Prkačin
- 1School of Medicine, University of Zagreb, Šalata 3, 10000 Zagreb, Croatia
- 3Department of Internal Medicine, Merkur University Hospital, Zagreb, Croatia
| | - Tomislav Bulum
- 1School of Medicine, University of Zagreb, Šalata 3, 10000 Zagreb, Croatia
- 4Vuk Vrhovac Clinic for Diabetes, Endocrinology and Metabolic Diseases, Merkur University Hospital, Zagreb, Croatia
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17
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Affiliation(s)
- Jenni K Burton
- Institute of Cardiovascular and Medical SciencesUniversity of Glasgow, Glasgow Royal Infirmary Glasgow UK
| | - Terence J Quinn
- Institute of Cardiovascular and Medical SciencesUniversity of Glasgow, Glasgow Royal Infirmary Glasgow UK
| | - Miles Fisher
- Department of Diabetes, Endocrinology & Clinical PharmacologyGlasgow Royal Infirmary Glasgow UK
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18
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Xu J, Wang A, Meng X, Jing J, Wang Y, Wang Y. Obesity-Stroke Paradox Exists in Insulin-Resistant Patients But Not Insulin Sensitive Patients. Stroke 2019; 50:1423-1429. [PMID: 31043152 DOI: 10.1161/strokeaha.118.023817] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Background and Purpose- The underlying mechanisms of stroke-obesity paradox are still not fully understood. This study aims to investigate the contribution of insulin resistance to the association between body mass index and stroke outcomes. Methods- Patients with ischemic stroke without history of diabetes mellitus in the Abnormal Glucose Regulation in Patients With Acute Stroke Across-China registry were included. Overweight or obese was defined as body mass index ≥23, and the median of homeostasis model assessment-insulin resistance index was chosen as cutoff to define insulin resistance. Cox or logistic regression model was used to assess the interaction between body mass index and homeostasis model assessment-insulin resistance on 1-year prognosis (all-cause mortality and poor functional outcome defined as modified Rankin Scale score 3-6). Results- Of 1227 study participants, the median homeostasis model assessment-insulin resistance was 1.9 (interquartile range, 1.1-3.1) and 863 (70.3%) patients were classified as overweight or obese. Among insulin-resistant patients, overweight/obese patients experienced one-half of the risk of death after stroke than their low/normal weight counterparts (9.42% versus 17.69%, unadjusted hazard ratio, 0.50; 95% CI, 0.31-0.82), while among insulin-sensitive ones, no significant difference of mortality risk was found (7.58% versus 6.91%, 1.07; 0.57-1.99). Similar trends were observed for poor functional outcome. Results were similar after adjustments for confounders. There were significant interactions between body mass index and homeostasis model assessment-insulin resistance on the risks of mortality (P=0.045) and poor functional outcome (P=0.049). Conclusions- We observed the obesity paradox for mortality and functional outcome in insulin-resistant patients but did not find the obesity paradox in insulin-sensitive patients. Insulin resistance may be one of the mechanisms underlying the obesity paradox of the outcome in patients with ischemic stroke.
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Affiliation(s)
- Jie Xu
- From the Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (J.X., A.W., X.M., J.J., Yilong Wang, Yongjun Wang)
- China National Clinical Research Center for Neurological Diseases, Beijing (J.X., A.W., X.M., J.J., Yilong Wang, Yongjun Wang)
- Center of Stroke, Beijing Institute for Brain Disorders, China (J.X., A.W., X.M., J.J., Yilong Wang, Yongjun Wang)
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, China (J.X., A.W., X.M., J.J., Yilong Wang, Yongjun Wang)
| | - Anxin Wang
- From the Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (J.X., A.W., X.M., J.J., Yilong Wang, Yongjun Wang)
- China National Clinical Research Center for Neurological Diseases, Beijing (J.X., A.W., X.M., J.J., Yilong Wang, Yongjun Wang)
- Center of Stroke, Beijing Institute for Brain Disorders, China (J.X., A.W., X.M., J.J., Yilong Wang, Yongjun Wang)
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, China (J.X., A.W., X.M., J.J., Yilong Wang, Yongjun Wang)
| | - Xia Meng
- From the Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (J.X., A.W., X.M., J.J., Yilong Wang, Yongjun Wang)
- China National Clinical Research Center for Neurological Diseases, Beijing (J.X., A.W., X.M., J.J., Yilong Wang, Yongjun Wang)
- Center of Stroke, Beijing Institute for Brain Disorders, China (J.X., A.W., X.M., J.J., Yilong Wang, Yongjun Wang)
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, China (J.X., A.W., X.M., J.J., Yilong Wang, Yongjun Wang)
| | - Jing Jing
- From the Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (J.X., A.W., X.M., J.J., Yilong Wang, Yongjun Wang)
- China National Clinical Research Center for Neurological Diseases, Beijing (J.X., A.W., X.M., J.J., Yilong Wang, Yongjun Wang)
- Center of Stroke, Beijing Institute for Brain Disorders, China (J.X., A.W., X.M., J.J., Yilong Wang, Yongjun Wang)
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, China (J.X., A.W., X.M., J.J., Yilong Wang, Yongjun Wang)
| | - Yilong Wang
- From the Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (J.X., A.W., X.M., J.J., Yilong Wang, Yongjun Wang)
- China National Clinical Research Center for Neurological Diseases, Beijing (J.X., A.W., X.M., J.J., Yilong Wang, Yongjun Wang)
- Center of Stroke, Beijing Institute for Brain Disorders, China (J.X., A.W., X.M., J.J., Yilong Wang, Yongjun Wang)
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, China (J.X., A.W., X.M., J.J., Yilong Wang, Yongjun Wang)
| | - Yongjun Wang
- From the Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (J.X., A.W., X.M., J.J., Yilong Wang, Yongjun Wang)
- China National Clinical Research Center for Neurological Diseases, Beijing (J.X., A.W., X.M., J.J., Yilong Wang, Yongjun Wang)
- Center of Stroke, Beijing Institute for Brain Disorders, China (J.X., A.W., X.M., J.J., Yilong Wang, Yongjun Wang)
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, China (J.X., A.W., X.M., J.J., Yilong Wang, Yongjun Wang)
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Lau L, Lew J, Borschmann K, Thijs V, Ekinci EI. Prevalence of diabetes and its effects on stroke outcomes: A meta-analysis and literature review. J Diabetes Investig 2019; 10:780-792. [PMID: 30220102 PMCID: PMC6497593 DOI: 10.1111/jdi.12932] [Citation(s) in RCA: 191] [Impact Index Per Article: 38.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2018] [Revised: 08/29/2018] [Accepted: 09/03/2018] [Indexed: 12/15/2022] Open
Abstract
AIMS/INTRODUCTION Diabetes mellitus is an established risk factor for stroke and maybe associated with poorer outcomes after stroke. The aims of the present literature review were to determine: (i) the prevalence of diabetes in acute stroke patients through a meta-analysis; (ii) the association between diabetes and outcomes after ischemic and hemorrhagic stroke; and (iii) to review the value of glycated hemoglobin and admission glucose-based tests in predicting stroke outcomes. MATERIALS AND METHODS Ovid MEDLINE and EMBASE searches were carried out to find studies relating to diabetes and inpatient stroke populations published between January 2004 and April 2017. A meta-analysis of the prevalence of diabetes from included studies was undertaken. A narrative review on the associations of diabetes and different diagnostic methods on stroke outcomes was carried out. RESULTS A total of 66 eligible articles met inclusion criteria. A meta-analysis of 39 studies (n = 359,783) estimated the prevalence of diabetes to be 28% (95% confidence interval 26-31). The rate was higher in ischemic (33%, 95% confidence interval 28-38) compared with hemorrhagic stroke (26%, 95% confidence interval 19-33) inpatients. Most, but not all, studies found that acute hyperglycemia and diabetes were associated with poorer outcomes after ischemic or hemorrhagic strokes: including higher mortality, poorer neurological and functional outcomes, longer hospital stay, higher readmission rates, and stroke recurrence. Diagnostic methods for establishing diagnosis were heterogeneous between the reviewed studies. CONCLUSIONS Approximately one-third of all stroke patients have diabetes. Uniform methods to screen for diabetes after stroke are required to identify individuals with diabetes to design interventions aimed at reducing poor outcomes in this high-risk population.
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Affiliation(s)
- Lik‐Hui Lau
- Department of EndocrinologyAustin HealthMelbourneVictoriaAustralia
| | - Jeremy Lew
- Department of EndocrinologyAustin HealthMelbourneVictoriaAustralia
| | - Karen Borschmann
- The Florey Institute of Neuroscience and Mental HealthUniversity of MelbourneMelbourneVictoriaAustralia
| | - Vincent Thijs
- The Florey Institute of Neuroscience and Mental HealthUniversity of MelbourneMelbourneVictoriaAustralia
- Department of NeurologyAustin HealthMelbourneVictoriaAustralia
| | - Elif I Ekinci
- Department of EndocrinologyAustin HealthMelbourneVictoriaAustralia
- Department of MedicineAustin HealthUniversity of MelbourneMelbourneVictoriaAustralia
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Highest In-Hospital Glucose Measurements are Associated With Neurological Outcomes After Intracerebral Hemorrhage. J Stroke Cerebrovasc Dis 2018; 27:2662-2668. [DOI: 10.1016/j.jstrokecerebrovasdis.2018.05.030] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2018] [Revised: 04/17/2018] [Accepted: 05/22/2018] [Indexed: 12/31/2022] Open
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21
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Lee KJ, Lee JS, Jung KH. Interactive effect of acute and chronic glycemic indexes for severity in acute ischemic stroke patients. BMC Neurol 2018; 18:105. [PMID: 30075761 PMCID: PMC6091005 DOI: 10.1186/s12883-018-1109-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2018] [Accepted: 07/23/2018] [Indexed: 12/18/2022] Open
Abstract
Background Diabetes mellitus is a well-established risk factor for ischemic stroke and is known to increase stroke risk by 2–6 fold. Numerous studies have reported the relationship between parameters for glycemic status and stroke-related outcomes; however, studies focusing on the interaction between acute and chronic glycemic status indexes with stroke phenotype are lacking. Methods Acute ischemic stroke patients who were admitted to a tertiary hospital stroke center from 2002 to 2015 were consecutively enrolled in this study. Fasting blood sugar (FBS) and serum glycated hemoglobin (HbA1c) levels were recorded as acute and chronic glycemic indexes, respectively. The associations between initial stroke severity and both glycemic indexes were evaluated with consideration of the interaction between the glycemic indexes. Moreover, the distinct effects of stroke subtypes were evaluated. Results A total of 2595 patients were included in the final analysis. After adjustment for covariates, FBS was associated with initial stroke severity (P < 0.001), while HbA1c was not (P = 0.16). However, an interaction between FBS and HbA1c in association with initial stroke severity was observed (P < 0.001). The association between FBS and initial stroke severity was stronger, with a relatively normal HbA1c level. Among stroke subtypes, the interactions were significant for the large artery disease and cardioembolism subtypes (all, P < 0.001), but for the small vessel occlusion subtype (P = 0.63). Conclusions This study shows that HbA1c is an effect modifier for the association between FBS and initial stroke severity, and the interactive effect differs among stroke subtypes. Electronic supplementary material The online version of this article (10.1186/s12883-018-1109-1) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Keon-Joo Lee
- Department of Neurology, Seoul National University Bundang Hospital, Seoul, South Korea
| | - Ji Sung Lee
- Clinical Research Center, Asan Medical Center, Seoul, South Korea
| | - Keun-Hwa Jung
- Department of Neurology, Seoul National University Hospital, 101, Daehangno, Jongno-gu, Seoul, 03080, South Korea.
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22
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Prevalence of Abnormal Glucose Regulation according to Different Diagnostic Criteria in Ischaemic Stroke without a History of Diabetes. BIOMED RESEARCH INTERNATIONAL 2018; 2018:8358724. [PMID: 29951547 PMCID: PMC5987245 DOI: 10.1155/2018/8358724] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/19/2017] [Revised: 03/13/2018] [Accepted: 03/26/2018] [Indexed: 12/28/2022]
Abstract
We aimed to investigate the prevalence and distribution of abnormal glucose regulation, including prediabetes and newly diagnosed diabetes, according to different criteria in ischaemic stroke patients without a history of diabetes. Data were derived from a representative cohort across China. Prediabetes was defined as fasting plasma glucose (FPG) 5.6–6.9 mmol/L or 2-hour oral glucose tolerance test (OGTT) 7.8–11.0 mmol/L or haemoglobin A1c (HbA1c) 5.7–6.4%. Newly diagnosed diabetes was defined as FPG ≥ 7.0 mmol/L, 2 h OGTT ≥ 11.1 mmol/L or HbA1c ≥ 6.5%. Among 1251 ischaemic stroke patients, 471 (37.5%) were detected as prediabetes and 539 (43.1%) were detected as newly diagnosed diabetes. Prediabetes was present in 118 (9.4%), 290 (23.2%) and 314 (25.1%) stroke patients, and newly diagnosed diabetes was present in 138 (11.0%), 370 (29.6%), and 365 (29.2%) stroke patients, based on FPG, 2 h OGTT, and HbA1c criteria, respectively. Dependency on FPG alone would have missed 74.9% of patients in the prediabetes range and 74.4% of patients in the diabetes range. Our study demonstrated a high prevalence of prediabetes and diabetes in ischaemic stroke patients without a history of diabetes. OGTT and HbA1c helped detect the majority of prediabetes and newly diagnosed diabetes in ischaemic stroke patients.
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Mitsios JP, Ekinci EI, Mitsios GP, Churilov L, Thijs V. Relationship Between Glycated Hemoglobin and Stroke Risk: A Systematic Review and Meta-Analysis. J Am Heart Assoc 2018; 7:JAHA.117.007858. [PMID: 29773578 PMCID: PMC6015363 DOI: 10.1161/jaha.117.007858] [Citation(s) in RCA: 51] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Diabetes mellitus is a major risk factor for ischemic stroke. Rising hemoglobin A1c (HbA1c) levels are associated with microvascular diabetes mellitus complication development; however, this relationship has not been established for stroke risk, a macrovascular complication. METHODS AND RESULTS We conducted a systematic review and meta-analysis of observational cohort and nested case-control cohort studies assessing the association between rising HbA1c levels and stroke risk in adults (≥18 years old) with and without type 1 or type 2 diabetes mellitus. Random-effects model meta-analyses were used to calculate pooled adjusted hazard ratios (HRs) and their precision. The systematic review yielded 36 articles, of which 29 articles (comprising n=532 779 participants) were included in our meta-analysis. Compared to non-diabetes mellitus range HbA1c (<5.7%), diabetes mellitus range HbA1c (≥6.5%) was associated with an increased risk of first-ever stroke with average HR (95% confidence interval) of 2.15 (1.76, 2.63), whereas pre-diabetes mellitus range HbA1c (5.7-6.5%) was not (average HR [95% confidence interval], 1.19 [0.87, 1.62]). For every 1% HbA1c increment (or equivalent), the average HR (95% confidence interval) for first-ever stroke was 1.12 (0.91, 1.39) in non-diabetes mellitus cohorts and 1.17 (1.09, 1.25) in diabetes mellitus cohorts. For every 1% HbA1c increment, both non-diabetes mellitus and diabetes mellitus cohorts had a higher associated risk of first-ever ischemic stroke with average HR (95% confidence interval) of 1.49 (1.32, 1.69) and 1.24 (1.11, 1.39), respectively. CONCLUSIONS A rising HbA1c level is associated with increased first-ever stroke risk in cohorts with a diabetes mellitus diagnosis and increased risk of first-ever ischemic stroke in non-diabetes mellitus cohorts. These findings suggest that more intensive HbA1c glycemic control targets may be required for optimal ischemic stroke prevention.
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Affiliation(s)
- John Peter Mitsios
- The University of Melbourne, Parkville, Melbourne, Victoria, Australia .,Austin Health, Heidelberg, Melbourne, Victoria, Australia.,The Florey Institute of Neuroscience & Mental Health, Melbourne, Victoria, Australia
| | - Elif Ilhan Ekinci
- The University of Melbourne, Parkville, Melbourne, Victoria, Australia.,Department of Endocrinology, Austin Health, Heidelberg, Melbourne, Victoria, Australia
| | | | - Leonid Churilov
- The University of Melbourne, Parkville, Melbourne, Victoria, Australia.,The Florey Institute of Neuroscience & Mental Health, Melbourne, Victoria, Australia
| | - Vincent Thijs
- The University of Melbourne, Parkville, Melbourne, Victoria, Australia.,Department of Neurology, Austin Health, Heidelberg, Melbourne, Victoria, Australia.,Stroke Division, The Florey Institute of Neuroscience & Mental Health University of Melbourne, Heidelberg, Melbourne, Victoria, Australia
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Ago T, Matsuo R, Hata J, Wakisaka Y, Kuroda J, Kitazono T, Kamouchi M. Insulin resistance and clinical outcomes after acute ischemic stroke. Neurology 2018; 90:e1470-e1477. [DOI: 10.1212/wnl.0000000000005358] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2017] [Accepted: 01/31/2018] [Indexed: 02/06/2023] Open
Abstract
ObjectiveIn this study, we aimed to determine whether insulin resistance is associated with clinical outcomes after acute ischemic stroke.MethodsWe enrolled 4,655 patients with acute ischemic stroke (aged 70.3 ± 12.5 years, 63.5% men) who had been independent before admission; were hospitalized in 7 stroke centers in Fukuoka, Japan, from April 2009 to March 2015; and received no insulin therapy during hospitalization. The homeostasis model assessment of insulin resistance (HOMA-IR) score was calculated using fasting blood glucose and insulin levels measured 8.3 ± 7.8 days after onset. Study outcomes were neurologic improvement (≥4-point decrease in NIH Stroke Scale score or 0 at discharge), poor functional outcome (modified Rankin Scale score of ≥3 at 3 months), and 3-month prognosis (stroke recurrence and all-cause mortality). Logistic regression analysis was used to evaluate the association of the HOMA-IR score with clinical outcomes.ResultsThe HOMA-IR score was associated with neurologic improvement (odds ratio, 0.68 [95% confidence interval, 0.56–0.83], top vs bottom quintile) and with poor functional outcome (2.02 [1.52–2.68], top vs bottom quintile) after adjusting for potential confounding factors, including diabetes and body mass index. HOMA-IR was not associated with stroke recurrence or mortality within 3 months of onset. The associations were maintained in nondiabetic or nonobese patients. No heterogeneity was observed according to age, sex, stroke subtype, or stroke severity.ConclusionsThese findings suggest that insulin resistance is independently associated with poor functional outcome after acute ischemic stroke apart from the risk of short-term stroke recurrence or mortality.
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Jing J, Pan Y, Zhao X, Zheng H, Jia Q, Mi D, Chen W, Li H, Liu L, Wang C, He Y, Wang D, Wang Y, Wang Y. Insulin Resistance and Prognosis of Nondiabetic Patients With Ischemic Stroke: The ACROSS-China Study (Abnormal Glucose Regulation in Patients With Acute Stroke Across China). Stroke 2017; 48:887-893. [PMID: 28235959 DOI: 10.1161/strokeaha.116.015613] [Citation(s) in RCA: 44] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2016] [Revised: 01/08/2017] [Accepted: 01/13/2017] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE Insulin resistance was common in patients with stroke. This study investigated the association between insulin resistance and outcomes in nondiabetic patients with first-ever acute ischemic stroke. METHODS Patients with ischemic stroke without history of diabetes mellitus in the ACROSS-China registry (Abnormal Glucose Regulation in Patients With Acute Stroke Across China) were included. Insulin resistance was defined as a homeostatis model assessment-insulin resistance (HOMA-IR) index in the top quartile (Q4). HOMA-IR was calculated as fasting insulin (μU/mL)×fasting glucose (mmol/L)/22.5. Multivariable logistic regression or Cox regression was performed to estimate the association between HOMA-IR and 1-year prognosis (mortality, stroke recurrence, poor functional outcome [modified Rankin scale score 3-6], and dependence [modified Rankin scale score 3-5]). RESULTS Among the 1245 patients with acute ischemic stroke enrolled in this study, the median HOMA-IR was 1.9 (interquartile range, 1.1-3.1). Patients with insulin resistance were associated with a higher mortality risk than those without (adjusted hazard ratio, 1.68; 95% confidence interval, 1.12-2.53; P=0.01), stroke recurrence (adjusted hazard ratio, 1.57, 95% confidence interval, 1.12-2.19; P=0.008), and poor outcome (adjusted odds ratio, 1.42; 95% confidence interval, 1.03-1.95; P=0.03) but not dependence after adjustment for potential confounders. Higher HOMA-IR quartile categories were associated with a higher risk of 1-year death, stroke recurrence, and poor outcome (P for trend =0.005, 0.005, and 0.001, respectively). CONCLUSIONS Insulin resistance was associated with an increased risk of death, stroke recurrence, and poor outcome but not dependence in nondiabetic patients with acute ischemic stroke.
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Affiliation(s)
- Jing Jing
- From the Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (J.J., Y.P., X.Z., H.Z., Q.J., D.M., W.C., H.L., L.L., C.W., Yilong Wang, Yongjun Wang); China National Clinical Research Center for Neurological Diseases, Beijing, China (J.J., X.Z., H.Z., Q.J., D.M., W.C., H.L., L.L., C.W., Yilong Wang, Yongjun Wang); Center of Stroke, Beijing Institute for Brain Disorders, China (J.J., X.Z., H.Z., Q.J., D.M., W.C., H.L., L.L., C.W., Yilong Wang, Yongjun Wang); Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China (J.J., X.Z., H.Z., Q.J., D.M., W.C., H.L., L.L., C.W., Yilong Wang, Yongjun Wang); Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China (Y.P., Y.H.); Beijing Municipal Key Laboratory of Clinical Epidemiology, China (Y.P., Y.H.); and Illinois Neurological Institute Stroke Network, Sisters of the Third Order of St. Francis Healthcare System, University of Illinois College of Medicine, Peoria (D.W.)
| | - Yuesong Pan
- From the Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (J.J., Y.P., X.Z., H.Z., Q.J., D.M., W.C., H.L., L.L., C.W., Yilong Wang, Yongjun Wang); China National Clinical Research Center for Neurological Diseases, Beijing, China (J.J., X.Z., H.Z., Q.J., D.M., W.C., H.L., L.L., C.W., Yilong Wang, Yongjun Wang); Center of Stroke, Beijing Institute for Brain Disorders, China (J.J., X.Z., H.Z., Q.J., D.M., W.C., H.L., L.L., C.W., Yilong Wang, Yongjun Wang); Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China (J.J., X.Z., H.Z., Q.J., D.M., W.C., H.L., L.L., C.W., Yilong Wang, Yongjun Wang); Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China (Y.P., Y.H.); Beijing Municipal Key Laboratory of Clinical Epidemiology, China (Y.P., Y.H.); and Illinois Neurological Institute Stroke Network, Sisters of the Third Order of St. Francis Healthcare System, University of Illinois College of Medicine, Peoria (D.W.)
| | - Xingquan Zhao
- From the Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (J.J., Y.P., X.Z., H.Z., Q.J., D.M., W.C., H.L., L.L., C.W., Yilong Wang, Yongjun Wang); China National Clinical Research Center for Neurological Diseases, Beijing, China (J.J., X.Z., H.Z., Q.J., D.M., W.C., H.L., L.L., C.W., Yilong Wang, Yongjun Wang); Center of Stroke, Beijing Institute for Brain Disorders, China (J.J., X.Z., H.Z., Q.J., D.M., W.C., H.L., L.L., C.W., Yilong Wang, Yongjun Wang); Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China (J.J., X.Z., H.Z., Q.J., D.M., W.C., H.L., L.L., C.W., Yilong Wang, Yongjun Wang); Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China (Y.P., Y.H.); Beijing Municipal Key Laboratory of Clinical Epidemiology, China (Y.P., Y.H.); and Illinois Neurological Institute Stroke Network, Sisters of the Third Order of St. Francis Healthcare System, University of Illinois College of Medicine, Peoria (D.W.)
| | - Huaguang Zheng
- From the Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (J.J., Y.P., X.Z., H.Z., Q.J., D.M., W.C., H.L., L.L., C.W., Yilong Wang, Yongjun Wang); China National Clinical Research Center for Neurological Diseases, Beijing, China (J.J., X.Z., H.Z., Q.J., D.M., W.C., H.L., L.L., C.W., Yilong Wang, Yongjun Wang); Center of Stroke, Beijing Institute for Brain Disorders, China (J.J., X.Z., H.Z., Q.J., D.M., W.C., H.L., L.L., C.W., Yilong Wang, Yongjun Wang); Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China (J.J., X.Z., H.Z., Q.J., D.M., W.C., H.L., L.L., C.W., Yilong Wang, Yongjun Wang); Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China (Y.P., Y.H.); Beijing Municipal Key Laboratory of Clinical Epidemiology, China (Y.P., Y.H.); and Illinois Neurological Institute Stroke Network, Sisters of the Third Order of St. Francis Healthcare System, University of Illinois College of Medicine, Peoria (D.W.)
| | - Qian Jia
- From the Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (J.J., Y.P., X.Z., H.Z., Q.J., D.M., W.C., H.L., L.L., C.W., Yilong Wang, Yongjun Wang); China National Clinical Research Center for Neurological Diseases, Beijing, China (J.J., X.Z., H.Z., Q.J., D.M., W.C., H.L., L.L., C.W., Yilong Wang, Yongjun Wang); Center of Stroke, Beijing Institute for Brain Disorders, China (J.J., X.Z., H.Z., Q.J., D.M., W.C., H.L., L.L., C.W., Yilong Wang, Yongjun Wang); Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China (J.J., X.Z., H.Z., Q.J., D.M., W.C., H.L., L.L., C.W., Yilong Wang, Yongjun Wang); Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China (Y.P., Y.H.); Beijing Municipal Key Laboratory of Clinical Epidemiology, China (Y.P., Y.H.); and Illinois Neurological Institute Stroke Network, Sisters of the Third Order of St. Francis Healthcare System, University of Illinois College of Medicine, Peoria (D.W.)
| | - Donghua Mi
- From the Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (J.J., Y.P., X.Z., H.Z., Q.J., D.M., W.C., H.L., L.L., C.W., Yilong Wang, Yongjun Wang); China National Clinical Research Center for Neurological Diseases, Beijing, China (J.J., X.Z., H.Z., Q.J., D.M., W.C., H.L., L.L., C.W., Yilong Wang, Yongjun Wang); Center of Stroke, Beijing Institute for Brain Disorders, China (J.J., X.Z., H.Z., Q.J., D.M., W.C., H.L., L.L., C.W., Yilong Wang, Yongjun Wang); Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China (J.J., X.Z., H.Z., Q.J., D.M., W.C., H.L., L.L., C.W., Yilong Wang, Yongjun Wang); Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China (Y.P., Y.H.); Beijing Municipal Key Laboratory of Clinical Epidemiology, China (Y.P., Y.H.); and Illinois Neurological Institute Stroke Network, Sisters of the Third Order of St. Francis Healthcare System, University of Illinois College of Medicine, Peoria (D.W.)
| | - Weiqi Chen
- From the Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (J.J., Y.P., X.Z., H.Z., Q.J., D.M., W.C., H.L., L.L., C.W., Yilong Wang, Yongjun Wang); China National Clinical Research Center for Neurological Diseases, Beijing, China (J.J., X.Z., H.Z., Q.J., D.M., W.C., H.L., L.L., C.W., Yilong Wang, Yongjun Wang); Center of Stroke, Beijing Institute for Brain Disorders, China (J.J., X.Z., H.Z., Q.J., D.M., W.C., H.L., L.L., C.W., Yilong Wang, Yongjun Wang); Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China (J.J., X.Z., H.Z., Q.J., D.M., W.C., H.L., L.L., C.W., Yilong Wang, Yongjun Wang); Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China (Y.P., Y.H.); Beijing Municipal Key Laboratory of Clinical Epidemiology, China (Y.P., Y.H.); and Illinois Neurological Institute Stroke Network, Sisters of the Third Order of St. Francis Healthcare System, University of Illinois College of Medicine, Peoria (D.W.)
| | - Hao Li
- From the Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (J.J., Y.P., X.Z., H.Z., Q.J., D.M., W.C., H.L., L.L., C.W., Yilong Wang, Yongjun Wang); China National Clinical Research Center for Neurological Diseases, Beijing, China (J.J., X.Z., H.Z., Q.J., D.M., W.C., H.L., L.L., C.W., Yilong Wang, Yongjun Wang); Center of Stroke, Beijing Institute for Brain Disorders, China (J.J., X.Z., H.Z., Q.J., D.M., W.C., H.L., L.L., C.W., Yilong Wang, Yongjun Wang); Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China (J.J., X.Z., H.Z., Q.J., D.M., W.C., H.L., L.L., C.W., Yilong Wang, Yongjun Wang); Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China (Y.P., Y.H.); Beijing Municipal Key Laboratory of Clinical Epidemiology, China (Y.P., Y.H.); and Illinois Neurological Institute Stroke Network, Sisters of the Third Order of St. Francis Healthcare System, University of Illinois College of Medicine, Peoria (D.W.)
| | - Liping Liu
- From the Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (J.J., Y.P., X.Z., H.Z., Q.J., D.M., W.C., H.L., L.L., C.W., Yilong Wang, Yongjun Wang); China National Clinical Research Center for Neurological Diseases, Beijing, China (J.J., X.Z., H.Z., Q.J., D.M., W.C., H.L., L.L., C.W., Yilong Wang, Yongjun Wang); Center of Stroke, Beijing Institute for Brain Disorders, China (J.J., X.Z., H.Z., Q.J., D.M., W.C., H.L., L.L., C.W., Yilong Wang, Yongjun Wang); Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China (J.J., X.Z., H.Z., Q.J., D.M., W.C., H.L., L.L., C.W., Yilong Wang, Yongjun Wang); Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China (Y.P., Y.H.); Beijing Municipal Key Laboratory of Clinical Epidemiology, China (Y.P., Y.H.); and Illinois Neurological Institute Stroke Network, Sisters of the Third Order of St. Francis Healthcare System, University of Illinois College of Medicine, Peoria (D.W.)
| | - Chunxue Wang
- From the Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (J.J., Y.P., X.Z., H.Z., Q.J., D.M., W.C., H.L., L.L., C.W., Yilong Wang, Yongjun Wang); China National Clinical Research Center for Neurological Diseases, Beijing, China (J.J., X.Z., H.Z., Q.J., D.M., W.C., H.L., L.L., C.W., Yilong Wang, Yongjun Wang); Center of Stroke, Beijing Institute for Brain Disorders, China (J.J., X.Z., H.Z., Q.J., D.M., W.C., H.L., L.L., C.W., Yilong Wang, Yongjun Wang); Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China (J.J., X.Z., H.Z., Q.J., D.M., W.C., H.L., L.L., C.W., Yilong Wang, Yongjun Wang); Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China (Y.P., Y.H.); Beijing Municipal Key Laboratory of Clinical Epidemiology, China (Y.P., Y.H.); and Illinois Neurological Institute Stroke Network, Sisters of the Third Order of St. Francis Healthcare System, University of Illinois College of Medicine, Peoria (D.W.)
| | - Yan He
- From the Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (J.J., Y.P., X.Z., H.Z., Q.J., D.M., W.C., H.L., L.L., C.W., Yilong Wang, Yongjun Wang); China National Clinical Research Center for Neurological Diseases, Beijing, China (J.J., X.Z., H.Z., Q.J., D.M., W.C., H.L., L.L., C.W., Yilong Wang, Yongjun Wang); Center of Stroke, Beijing Institute for Brain Disorders, China (J.J., X.Z., H.Z., Q.J., D.M., W.C., H.L., L.L., C.W., Yilong Wang, Yongjun Wang); Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China (J.J., X.Z., H.Z., Q.J., D.M., W.C., H.L., L.L., C.W., Yilong Wang, Yongjun Wang); Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China (Y.P., Y.H.); Beijing Municipal Key Laboratory of Clinical Epidemiology, China (Y.P., Y.H.); and Illinois Neurological Institute Stroke Network, Sisters of the Third Order of St. Francis Healthcare System, University of Illinois College of Medicine, Peoria (D.W.)
| | - David Wang
- From the Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (J.J., Y.P., X.Z., H.Z., Q.J., D.M., W.C., H.L., L.L., C.W., Yilong Wang, Yongjun Wang); China National Clinical Research Center for Neurological Diseases, Beijing, China (J.J., X.Z., H.Z., Q.J., D.M., W.C., H.L., L.L., C.W., Yilong Wang, Yongjun Wang); Center of Stroke, Beijing Institute for Brain Disorders, China (J.J., X.Z., H.Z., Q.J., D.M., W.C., H.L., L.L., C.W., Yilong Wang, Yongjun Wang); Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China (J.J., X.Z., H.Z., Q.J., D.M., W.C., H.L., L.L., C.W., Yilong Wang, Yongjun Wang); Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China (Y.P., Y.H.); Beijing Municipal Key Laboratory of Clinical Epidemiology, China (Y.P., Y.H.); and Illinois Neurological Institute Stroke Network, Sisters of the Third Order of St. Francis Healthcare System, University of Illinois College of Medicine, Peoria (D.W.)
| | - Yilong Wang
- From the Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (J.J., Y.P., X.Z., H.Z., Q.J., D.M., W.C., H.L., L.L., C.W., Yilong Wang, Yongjun Wang); China National Clinical Research Center for Neurological Diseases, Beijing, China (J.J., X.Z., H.Z., Q.J., D.M., W.C., H.L., L.L., C.W., Yilong Wang, Yongjun Wang); Center of Stroke, Beijing Institute for Brain Disorders, China (J.J., X.Z., H.Z., Q.J., D.M., W.C., H.L., L.L., C.W., Yilong Wang, Yongjun Wang); Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China (J.J., X.Z., H.Z., Q.J., D.M., W.C., H.L., L.L., C.W., Yilong Wang, Yongjun Wang); Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China (Y.P., Y.H.); Beijing Municipal Key Laboratory of Clinical Epidemiology, China (Y.P., Y.H.); and Illinois Neurological Institute Stroke Network, Sisters of the Third Order of St. Francis Healthcare System, University of Illinois College of Medicine, Peoria (D.W.)
| | - Yongjun Wang
- From the Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (J.J., Y.P., X.Z., H.Z., Q.J., D.M., W.C., H.L., L.L., C.W., Yilong Wang, Yongjun Wang); China National Clinical Research Center for Neurological Diseases, Beijing, China (J.J., X.Z., H.Z., Q.J., D.M., W.C., H.L., L.L., C.W., Yilong Wang, Yongjun Wang); Center of Stroke, Beijing Institute for Brain Disorders, China (J.J., X.Z., H.Z., Q.J., D.M., W.C., H.L., L.L., C.W., Yilong Wang, Yongjun Wang); Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China (J.J., X.Z., H.Z., Q.J., D.M., W.C., H.L., L.L., C.W., Yilong Wang, Yongjun Wang); Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China (Y.P., Y.H.); Beijing Municipal Key Laboratory of Clinical Epidemiology, China (Y.P., Y.H.); and Illinois Neurological Institute Stroke Network, Sisters of the Third Order of St. Francis Healthcare System, University of Illinois College of Medicine, Peoria (D.W.).
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