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Wang D, Zhang Z, Zhang Y, Chen S, Qu N, Li H, Sun Y, Tian X, Han X, Wu S, Wang A. Two-Year Changes in Remnant Cholesterol and Stroke Risk in the Chinese Population: A Prospective Cohort Study. J Am Heart Assoc 2025:e038559. [PMID: 40401619 DOI: 10.1161/jaha.124.038559] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2024] [Accepted: 04/25/2025] [Indexed: 05/23/2025]
Abstract
BACKGROUND Previous studies have shown that elevated remnant cholesterol (RC) was associated with stroke risk. There is insufficient evidence on the relationship between 2-year changes in RC and stroke risk in the general population. Our aim was to explore the relationship between 2-year changes in RC and the risks of stroke and its subtypes in the general population. METHODS The study included 62 443 individuals who were free of stroke from the Kailuan Study. Two-year changes in RC was defined as the difference between the RC in 2008 and that in 2006. Multivariable-adjusted Cox proportion models were used to examine the associations between 2-year changes in RC with the risks of stroke and its subtypes. RESULTS During a median follow-up period of 10.30 years, 3780 (6.38%) stroke events occurred. The changes in RC were positively associated with the risk of stroke, after adjustment for multiple potential confounders. The hazard ratio (HR) for the Q4 group versus the Q1 group was 1.14 (95%, CI, 1.02-1.28) for stroke, and 1.18 (95% CI, 1.04-1.32) for ischemic stroke. The risks of stroke were higher in the RC increased group than the RC nonincreased group. The HR was 1.12 (95% CI, 1.04-1.20) for stroke, and 1.15 (95% CI, 1.07-1.24) for ischemic stroke. CONCLUSIONS Substantial changes in RC are associated with increased risks of stroke in the general population. Monitoring long-term changes in RC may assist with the early identification of individuals at high risk of stroke.
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Affiliation(s)
- Dan Wang
- Encephalopathy Center The First Affiliated Hospital of Henan University of Chinese Medicine Zhengzhou China
| | - Zifei Zhang
- Department of Neurology Kaifeng Central Hospital, Xinxiang Medical University Kaifeng China
| | - Yijun Zhang
- Department of Epidemiology Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University Beijing China
- China National Clinical Research Center for Neurological Diseases Beijing Tiantan Hospital, Capital Medical University Beijing China
- Department of Clinical Epidemiology and Clinical Trial Capital Medical University Beijing China
| | - Shuohua Chen
- Department of Cardiology Kailuan Hospital, North China University of Science and Technology Tangshan China
| | - Nan Qu
- Encephalopathy Center The First Affiliated Hospital of Henan University of Chinese Medicine Zhengzhou China
| | - Haibin Li
- Department of Cardiac Surgery, Heart Center and Beijing Key Laboratory of Hypertension Beijing Chaoyang Hospital, Capital Medical University Beijing China
| | - Yongkang Sun
- Encephalopathy Center The First Affiliated Hospital of Henan University of Chinese Medicine Zhengzhou China
| | - Xue Tian
- Department of Epidemiology Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University Beijing China
- China National Clinical Research Center for Neurological Diseases Beijing Tiantan Hospital, Capital Medical University Beijing China
- Department of Clinical Epidemiology and Clinical Trial Capital Medical University Beijing China
| | - Xinsheng Han
- Department of Neurology Kaifeng Central Hospital, Xinxiang Medical University Kaifeng China
- Henan Key Laboratory of Neuromuscular Pathology Kaifeng Central Hospital Kaifeng China
| | - Shouling Wu
- Department of Cardiology Kailuan Hospital, North China University of Science and Technology Tangshan China
| | - Anxin Wang
- Department of Epidemiology Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University Beijing China
- China National Clinical Research Center for Neurological Diseases Beijing Tiantan Hospital, Capital Medical University Beijing China
- Department of Clinical Epidemiology and Clinical Trial Capital Medical University Beijing China
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Shemesh R, Rosenblatt HN, Huna-Baron R, Klein A, Zloto O, Levy N. The Risk of Ischemic Stroke in Patients With Nonarteritic Anterior Ischemic Optic Neuropathy: A Big Data Study. J Neuroophthalmol 2025:00041327-990000000-00802. [PMID: 40372983 DOI: 10.1097/wno.0000000000002354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/17/2025]
Abstract
BACKGROUND This study explored ischemic stroke occurrence in patients with nonarteritic anterior ischemic optic neuropathy (NAION) and assess the link between NAION and carotid artery stenosis (CAS) as an ischemic stroke risk factor. METHODS A retrospective (2009-2019) nationwide, population-based study was conducted using a cohort database from Clalit, the largest healthcare network in Israel. Among 1,200,000 insured individuals, 605 NAION patients without prior ischemic stroke diagnosis were included, matched with a 10-fold larger comparison group by age, sex, and cardiovascular risk factors. RESULTS Results indicated a higher incidence of large-vessel ischemic stroke (18.7% vs 14.7% in the comparison group) and small-vessel ischemic stroke (4.8% vs 3.1% in the comparison group) in patients with NAION. CAS prevalence was elevated in patients with NAION both during the study and during follow-up. Multivariable analysis showed hazard ratios of 1.5 (P = 0.002) for large-vessel ischemic strokes and 1.56 (P = 0.031) for small-vessel ischemic strokes in patients with NAION. The cumulative probability of ischemic strokes for patients with NAION without risk factors was higher than for the comparison group without risk factors (log rank test, P = 0.017). CONCLUSIONS These population-based study results revealed a higher incidence of ischemic stroke after a NAION episode compared with the comparison group. This association was valid regardless of any additional vascular risk factors. There is a need to consider specific management for patients with NAION diagnosed with carotid artery stenosis because of the potential for a triadic relationship among the 3 conditions.
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Affiliation(s)
- Rachel Shemesh
- Sheba Medical Center (RS, RH-B, OZ), Goldschleger Eye Institute, Tel Hashomer, Israel; Faculty of Medicine (RS, RH-B, OZ), Tel-Aviv University, Tel-Aviv, Israel; Ophthalmology Department (HNR, NL), Kaplan Medical Center, Rehovot, Israel; Ophthalmology Department (AK), Tel-Aviv Sourasky Medical Center, School of Medicine, Tel Aviv University, Tel Aviv, Israel; and Hadassah and Hebrew University Medical School (NL), Jerusalem, Israel
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Dahan A, Kulkarni SM, Gan C, Pavlin-Premrl D, Zhou KZ, Ren Y, Vainauskaite V, Protto S, Moore J, Chandra RV, Chong W, Slater LA, Nasra M, Khabaza A, Maingard J, Jhamb A, Kok HK, Brooks MD, Barras CD, Asadi H. Seven years of CRAFT: Clinical results of a multicenter cohort of carotid artery relining with the CASPER RX stent. J Stroke Cerebrovasc Dis 2025; 34:108271. [PMID: 40044096 DOI: 10.1016/j.jstrokecerebrovasdis.2025.108271] [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: 11/03/2024] [Revised: 02/10/2025] [Accepted: 03/02/2025] [Indexed: 03/15/2025] Open
Abstract
BACKGROUND AND PURPOSE Carotid artery stenting (CAS) is an established treatment for carotid stenosis or occlusion. Use of the dual-layer microporous CASPER RX stent has had mixed results in prior reports. The CaRotid Artery Filtering Technique (CRAFT) uses the distal end of the CASPER stent as an embolic protection device during deployment. We present the largest cohort of patients having undergone CAS with the CASPER stent and report our multicentre experience with CRAFT over the last seven years. MATERIALS AND METHODS All patients undergoing CAS at three tertiary neurointerventional centres in Australia from April 2016 to April 2023 were included. Patient demographic, procedural and clinical data were retrospectively collected. All included patients underwent CAS with CASPER stent insertion using CRAFT. RESULTS 215 patients (74 % male, mean age 70) were included in the study. Most patients (89 %) were treated on an emergent basis with 81 % of these representing tandem lesions in acute ischaemic stroke. Median NIHSS score was 12 on admission and 6 post-procedure. 98 % achieved an mTICI score of 2b or higher. Median mRS score was 1 at the time of earliest outpatient follow-up. 90 % of patients received intraprocedural antiplatelet therapy. 10 % suffered symptomatic intracranial haemorrhage and 7 % had stent occlusion. An 8 % all-cause mortality rate was observed. CONCLUSION Emergent CAS with the CASPER RX stent and CRAFT is both safe and efficacious, with low rates of stent occlusion and restenosis as well as a low risk of major complication. Given the limited sample of elective patients in our cohort, further studies are required to corroborate the safety profile of CRAFT in elective CAS.
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Affiliation(s)
- Ariel Dahan
- Department of Radiology, Austin Health, 145 Studley Rd, Heidelberg, Melbourne, VIC 3084, Australia
| | - Siddharth M Kulkarni
- Department of Radiology, Austin Health, 145 Studley Rd, Heidelberg, Melbourne, VIC 3084, Australia; Department of Surgery, Austin Health, 145 Studley Rd, Heidelberg, Melbourne, VIC 3084, Australia.
| | - Calvin Gan
- Monash Health Imaging, Monash Health, 46 Clayton Rd, Clayton, Melbourne, VIC 3168, Australia
| | - Davor Pavlin-Premrl
- Department of Neurology, Austin Health, 145 Studley Rd, Heidelberg, Melbourne, VIC 3084, Australia; Neurointervention and Interventional Radiology Service, St Vincent's Health, 41 Victoria Parade, Fitzroy, Melbourne, VIC 3065, Australia
| | - Kevin Z Zhou
- Department of Radiology, Austin Health, 145 Studley Rd, Heidelberg, Melbourne, VIC 3084, Australia; Neurointervention and Interventional Radiology Service, St Vincent's Health, 41 Victoria Parade, Fitzroy, Melbourne, VIC 3065, Australia
| | - Yifan Ren
- Department of Radiology, Austin Health, 145 Studley Rd, Heidelberg, Melbourne, VIC 3084, Australia
| | - Viktorija Vainauskaite
- Department of Radiology, Austin Health, 145 Studley Rd, Heidelberg, Melbourne, VIC 3084, Australia
| | - Sara Protto
- Monash Health Imaging, Monash Health, 46 Clayton Rd, Clayton, Melbourne, VIC 3168, Australia
| | - Justin Moore
- Department of Neurosurgery, Monash Health, 46 Clayton Rd, Clayton, Melbourne, VIC 3168, Australia; Faculty of Medicine, Nursing and Health Sciences, Monash University, Wellington Rd, Clayton, Melbourne, VIC 3800, Australia
| | - Ronil V Chandra
- Monash Health Imaging, Monash Health, 46 Clayton Rd, Clayton, Melbourne, VIC 3168, Australia; Faculty of Medicine, Nursing and Health Sciences, Monash University, Wellington Rd, Clayton, Melbourne, VIC 3800, Australia
| | - Winston Chong
- Monash Health Imaging, Monash Health, 46 Clayton Rd, Clayton, Melbourne, VIC 3168, Australia; Faculty of Medicine, Nursing and Health Sciences, Monash University, Wellington Rd, Clayton, Melbourne, VIC 3800, Australia
| | - Lee-Anne Slater
- Monash Health Imaging, Monash Health, 46 Clayton Rd, Clayton, Melbourne, VIC 3168, Australia; Faculty of Medicine, Nursing and Health Sciences, Monash University, Wellington Rd, Clayton, Melbourne, VIC 3800, Australia
| | - Mohamed Nasra
- Department of Medicine, Northern Health, 85 Cooper St, Epping, Melbourne, VIC 3076, Australia
| | - Ali Khabaza
- Department of Radiology, Austin Health, 145 Studley Rd, Heidelberg, Melbourne, VIC 3084, Australia; Neurointervention and Interventional Radiology Service, St Vincent's Health, 41 Victoria Parade, Fitzroy, Melbourne, VIC 3065, Australia
| | - Julian Maingard
- Department of Radiology, Austin Health, 145 Studley Rd, Heidelberg, Melbourne, VIC 3084, Australia; Neurointervention and Interventional Radiology Service, St Vincent's Health, 41 Victoria Parade, Fitzroy, Melbourne, VIC 3065, Australia; School of Medicine, Deakin University, 75 Pigdons Rd, Geelong, VIC 3216, Australia
| | - Ashu Jhamb
- Neurointervention and Interventional Radiology Service, St Vincent's Health, 41 Victoria Parade, Fitzroy, Melbourne, VIC 3065, Australia
| | - Hong Kuan Kok
- Northern Imaging Victoria, Northern Health, 85 Cooper St, Epping, Melbourne, VIC 3076, Australia; NECTAR Research Group, Northern Health, 85 Cooper St, Epping, Melbourne, VIC 3076, Australia; Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Building 104, Alan Gilbert Building University of Melbourne, 161 Barry St, Carlton, Melbourne, VIC 3010, Australia
| | - Mark D Brooks
- Department of Radiology, Austin Health, 145 Studley Rd, Heidelberg, Melbourne, VIC 3084, Australia; Neurointervention and Interventional Radiology Service, St Vincent's Health, 41 Victoria Parade, Fitzroy, Melbourne, VIC 3065, Australia; School of Medicine, Deakin University, 75 Pigdons Rd, Geelong, VIC 3216, Australia
| | - Christen D Barras
- Department of Radiology, Royal Adelaide Hospital, Port Rd, Adelaide, SA 5000, Australia; South Australian Health and Medical Research Institute, North Terrace, Adelaide, SA 5000, Australia
| | - Hamed Asadi
- Department of Radiology, Austin Health, 145 Studley Rd, Heidelberg, Melbourne, VIC 3084, Australia; Monash Health Imaging, Monash Health, 46 Clayton Rd, Clayton, Melbourne, VIC 3168, Australia; Neurointervention and Interventional Radiology Service, St Vincent's Health, 41 Victoria Parade, Fitzroy, Melbourne, VIC 3065, Australia; School of Medicine, Deakin University, 75 Pigdons Rd, Geelong, VIC 3216, Australia
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Klinger G, Schettler L, Schettler G, Bähr M, Hasenfuß G, Weber-Krüger M, Liman J, Schnieder M, Schroeter MR. Low blood flow velocity in the left atrial appendage in sinus rhythm as a predictor of atrial fibrillation: results of a prospective cohort study with 3 years of follow-up. Neurol Res Pract 2025; 7:24. [PMID: 40223142 PMCID: PMC11995508 DOI: 10.1186/s42466-025-00381-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2025] [Accepted: 03/17/2025] [Indexed: 04/15/2025] Open
Abstract
BACKGROUND Atrial fibrillation (AF) is a common cause of cardioembolic stroke and can lead to severe and recurrent cerebrovascular events. Thus, identifying patients suffering from cardioembolic events caused by undetected AF is crucial. Previously, we found an association between increasing stroke severity and a decreasing left atrial appendage (LAA) blood flow velocity below 60 cm/s. METHODS This was a prospective single-center cohort study including hospitalized patients who underwent a transesophageal echocardiography (TEE) in sinus rhythm. The participants were divided into two groups (≥ 60 cm/s;<60 cm/s) based on their maximum LAA blood flow velocity. The results of the cardiovascular risk assessment and 24- to 72-hour ECG Holter were recorded. Follow-up appointments were scheduled at 3, 6, 12, 24 and 36 months. The primary endpoint was new-onset AF. The statistics included a Cox-proportional-hazard-model and a binary logistic regression. Numerical data or categorical data were analyzed with the Mann-Whitney U test or chi-square test. RESULTS A total of 166 patients were recruited. The median LAA blood flow velocity was 64 cm/s. New-onset AF was diagnosed in 22.9% of the patients. An LAA blood flow velocity ≤ 60 cm/s was associated with a threefold increased risk of new-onset AF (35.8% vs. 11.5%; HR3.56; CI95%1.70-7.46; p < 0.001), independently according to a multivariate analysis (p = 0.035). Furthermore, a decreasing LAA blood flow velocity was associated with an increased risk of new-onset AF (OR1.043; CI95%1.021-1.069; p < 0.001). CONCLUSION A low LAA blood flow velocity (≤ 60 cm/s) in sinus rhythm is prospectively associated with an increased risk of new-onset AF. Additional simple LAA-TEE examinations could help to identify patients who benefit from more accurate cardiac rhythm monitoring.
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Affiliation(s)
- Gero Klinger
- Department of Neurology, University-Medical-Center Göttingen, Göttingen, Germany.
| | - Lea Schettler
- Heart Center, Department of Cardiology and Pneumology, University Medical Center Göttingen, Göttingen, Germany
| | - Greta Schettler
- Department of Neurology, University-Medical-Center Göttingen, Göttingen, Germany
| | - Mathias Bähr
- Department of Neurology, University-Medical-Center Göttingen, Göttingen, Germany
| | - Gerd Hasenfuß
- Heart Center, Department of Cardiology and Pneumology, University Medical Center Göttingen, Göttingen, Germany
| | - Mark Weber-Krüger
- Heart Center, Department of Cardiology and Pneumology, University Medical Center Göttingen, Göttingen, Germany
| | - Jan Liman
- Department of Neurology, Paracelsus Medical Private University Klinikum Nuremberg, Nuremberg, Germany
| | - Marlena Schnieder
- Department of Neurology, University-Medical-Center Göttingen, Göttingen, Germany
| | - Marco Robin Schroeter
- Heart Center, Department of Cardiology and Pneumology, University Medical Center Göttingen, Göttingen, Germany
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Lin Y, Li X, Hu M, Zhao J, Zhu C. Reassessing the Association of Sedentary Behavior and Physical Activity with Ischemic Stroke: A Mendelian Randomization Study. Med Sci Sports Exerc 2025; 57:781-790. [PMID: 39809232 DOI: 10.1249/mss.0000000000003601] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2025]
Abstract
PURPOSE Findings from previous Mendelian randomization (MR) studies disagreed with the current scientific consensus regarding the role of physical activity (PA) and sedentary behavior in ischemic stroke (IS). We reassessed these associations with a focus on etiological subtypes of IS and the potential mediating roles of cardiometabolic traits and brain imaging-derived phenotypes (IDPs). METHODS We performed MR analyses using summary statistics from genome-wide association studies of sedentary behavior and PA ( n = 88,411 ~ 608,595), cardiometabolic traits ( n = 393,193 ~ 694,649), brain IDPs ( n = 33,224), and the latest IS data (62,100 cases and 1,234,808 controls). Inverse-variance weighted regression was used as the primary method, complemented by several sensitivity analyses. A two-step MR approach was employed to assess the mediating effects of cardiometabolic traits and brain IDPs. RESULTS Genetic liability to leisure-time moderate-to-vigorous PA (MVPA) and higher overall PA (OPA) were associated with reduced risks of IS and small vessel stroke (Benjamini-Hochberg adjusted P < 0.05). Suggestive associations were observed between longer leisure-screen time and higher IS risk and between higher OPA and lower cardioembolic stroke risk ( P < 0.05). The isotropic volume fraction in the anterior limb of the left internal capsule, as well as some cardiometabolic metrics, partially mediated these associations. There was no evidence for causal effects of overall MVPA, overall light-intensity PA, or overall sedentary duration on IS. CONCLUSIONS Longer leisure screen time, less OPA, and not engaging in MVPA during leisure time were associated with higher risk of IS. The associations between PA and IS depended on different subtypes and were mediated by changes in anterior limb of the left internal capsule and cardiometabolic biomarkers.
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Affiliation(s)
- Yidie Lin
- Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, CHINA
| | - Xuechao Li
- Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, CHINA
| | - Meijing Hu
- Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, CHINA
| | | | - Cairong Zhu
- Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, CHINA
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Lu Y, Sun P, Jin H, Wang Z, Shen Z, Sun W, Sun Y, Liu R, Li F, Shu J, Qiu Z, Lu Z, Sun W, Zhu S, Huang Y. Prolonged Hospital Length of Stay Does Not Improve Functional Outcome in Acute Ischemic Stroke. Neurol Ther 2025; 14:593-607. [PMID: 39964661 PMCID: PMC11906935 DOI: 10.1007/s40120-025-00712-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2024] [Accepted: 01/24/2025] [Indexed: 03/14/2025] Open
Abstract
INTRODUCTION Ischemic stroke is the second leading cause of mortality and a major contributor to disability worldwide. Hospital length of stay (LOS) is a marker of medical efficiency for stroke care. There is limited information on this issue in China. This study aimed to identify predictors of prolonged LOS and to assess whether a prolonged LOS benefits functional outcomes in patients with acute ischemic stroke (AIS) in China. METHODS This secondary analysis of the Chinese Acute Ischemic Stroke Treatment Outcome Registry, a multicenter, prospective, hospital-based registry study, included patients diagnosed as AIS and admitted to a hospital within 3 days after AIS onset from May 2015 to October 2017. Participants were dichotomized as the normal LOS group (LOS ≤ 14 days) and the prolonged LOS group (LOS > 14 days). The outcomes were the proportions of poor outcome at 3 months and 12 months after stroke onset. Poor outcome was defined as a mRS score of 3-6. RESULTS This study included 8171 patients (median age 64.0 years; 5367 male, 2804 female); 2968 (36.3%) patients had a prolonged LOS. Multivariable analysis identified independent predictors of prolonged LOS, including medical insurance, history of diabetes mellitus, stroke severity, use of anticoagulant agents, in-hospital infection complications, hemorrhagic events, and hospital region. A prolonged LOS was associated with a higher risk of poor outcome at 3 and 12 months after stroke, with this finding upheld in a propensity score-matched cohort as well as subgroup analyses stratified by stroke severity and age. CONCLUSION In this study, approximately one-third of patients with AIS experienced a prolonged LOS over 14 days. Independent predictors of prolonged LOS included medical insurance, history of diabetes mellitus, stroke severity, use of anticoagulant agents, in-hospital infection complications, hemorrhagic events, and hospital region. Extending the LOS beyond 14 days did not enhance the prognosis for patients with AIS. As an observational study, our research provided the foundation for further interventional studies. Graphical abstract available for this article. TRIAL REGISTRATION ClinicalTrials.gov NCT02470624.
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Affiliation(s)
- Yuxuan Lu
- Department of Neurology, Peking University First Hospital, 8 Xishiku Street, Xicheng District, Beijing, 100034, People's Republic of China
| | - Peng Sun
- Department of Neurology, Peking University First Hospital, 8 Xishiku Street, Xicheng District, Beijing, 100034, People's Republic of China
| | - Haiqiang Jin
- Department of Neurology, Peking University First Hospital, 8 Xishiku Street, Xicheng District, Beijing, 100034, People's Republic of China
| | - Zhaoxia Wang
- Department of Neurology, Peking University First Hospital, 8 Xishiku Street, Xicheng District, Beijing, 100034, People's Republic of China
| | - Zhiyuan Shen
- Department of Neurology, The First Hospital of Hebei Medical University, Shijiazhuang, China
| | - Wei Sun
- Department of Neurology, Peking University First Hospital, 8 Xishiku Street, Xicheng District, Beijing, 100034, People's Republic of China
| | - Yongan Sun
- Department of Neurology, Peking University First Hospital, 8 Xishiku Street, Xicheng District, Beijing, 100034, People's Republic of China
| | - Ran Liu
- Department of Neurology, Peking University First Hospital, 8 Xishiku Street, Xicheng District, Beijing, 100034, People's Republic of China
| | - Fan Li
- Department of Neurology, Peking University First Hospital, 8 Xishiku Street, Xicheng District, Beijing, 100034, People's Republic of China
| | - Junlong Shu
- Department of Neurology, Peking University First Hospital, 8 Xishiku Street, Xicheng District, Beijing, 100034, People's Republic of China
| | - Zifeng Qiu
- Department of Neurology, Peking University First Hospital, 8 Xishiku Street, Xicheng District, Beijing, 100034, People's Republic of China
| | - Zhongbing Lu
- College of Life Sciences, University of Chinese Academy of Science, Beijing, 100049, China
| | - Weiping Sun
- Department of Neurology, Peking University First Hospital, 8 Xishiku Street, Xicheng District, Beijing, 100034, People's Republic of China.
| | - Sainan Zhu
- Department of Biostatistics, Peking University First Hospital, 8 Xishiku Street, Xicheng District, Beijing, 100034, People's Republic of China.
| | - Yining Huang
- Department of Neurology, Peking University First Hospital, 8 Xishiku Street, Xicheng District, Beijing, 100034, People's Republic of China
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Tran KH, Akhtar N, Ali A, Joseph S, Morgan D, Babu B, Uy RT, Shuaib A. Impact of stroke severity on aspiration pneumonia risks in the medical ward versus the stroke unit: a 10-year retrospective cohort study. BMJ Open 2025; 15:e093328. [PMID: 40118473 PMCID: PMC11931941 DOI: 10.1136/bmjopen-2024-093328] [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: 09/04/2024] [Accepted: 02/28/2025] [Indexed: 03/23/2025] Open
Abstract
OBJECTIVE Aspiration pneumonia is a common complication post-stroke that increases the patient's duration of stay in hospital, mortality and morbidity. We examined the incidence, clinical characteristics and outcomes among ischaemic stroke-related aspiration pneumonia patients in Qatar. SETTINGS AND PARTICIPANTS The Qatar Stroke database was reviewed for patients with acute ischaemic stroke admitted to Hamad General Hospital, a tertiary care medical facility, between January 2014 and April 2024. OUTCOMES Patients were retrospectively assessed for mortality at 90 days, modified Rankin Score at 90 days and length of stay. Several clinical characteristics were also compared between patients with acute ischaemic stroke who developed aspiration pneumonia versus those without. RESULTS Patients with stroke who developed aspiration pneumonia tended to be older and of the male sex. Patients who developed aspiration pneumonia were also more likely to present with a higher National Institute of Health Stroke Scale (NIHSS) at admission (p<0.001). Patients with large vessel disease, cardioembolic stroke, stroke of determined aetiology and stroke of undetermined aetiology were more likely to develop aspiration pneumonia. They also stayed an average of 10 days longer in the hospital compared with patients without aspiration pneumonia (16.0 vs 5.3 days). Patients admitted to the medicine ward had higher odds of developing aspiration pneumonia in contrast to patients admitted to the stroke ward (adjusted OR of 1.56, 95% CI: 1.05 to 2.31). Patients with aspiration pneumonia had unfavourable outcomes (modified Rankin Scale 3-6) at 90 days (74.6% vs 30.4% for an NIHSS admission score of 5-9 and 79.6% vs 59.5% for an NIHSS admission >10). They were also more likely to have higher mortality rates at 90 days (16.9% vs 1.9% for an NIHSS admission score of 5-9 and 22.3% vs 13.8% for an NIHSS admission score >10) and major adverse cardiovascular events at 1 year (23.7% vs 3.8% for an NIHSS admission score of 5-9 and 27.5% vs 16.2% for NIHSS>10). CONCLUSION Age, sex, admission NIHSS severity, stroke subtypes and admission location are independent predictors of aspiration pneumonia post-stroke.
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Affiliation(s)
- Kim H Tran
- Department of Neurology, University of Alberta, Edmonton, Alberta, Canada
| | - Naveed Akhtar
- Department of Neuroscience, Hamad Medical Corporation, Doha, Qatar
| | - Aizaz Ali
- Department of Neurology, University of Toledo, Toledo, Ohio, USA
| | - Sujata Joseph
- Department of Neuroscience, Hamad Medical Corporation, Doha, Qatar
| | - Deborah Morgan
- Department of Neuroscience, Hamad Medical Corporation, Doha, Qatar
| | - Blessy Babu
- Department of Neuroscience, Hamad Medical Corporation, Doha, Qatar
| | - Ryan Ty Uy
- Department of Neuroscience, Hamad Medical Corporation, Doha, Qatar
| | - Ashfaq Shuaib
- Department of Neurology, University of Alberta, Edmonton, Alberta, Canada
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Ushmani A, Patel S, Prasad Jalaja P, Kommineni D, Anna Joseph C, Bodapati NVSB. Predictors of In-Hospital Mortality Among Patients With Acute Stroke: Insights From the Healthcare Cost and Utilization Project (HCUP) Nationwide Readmission Database. Cureus 2025; 17:e81403. [PMID: 40296933 PMCID: PMC12035578 DOI: 10.7759/cureus.81403] [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] [Accepted: 03/28/2025] [Indexed: 04/30/2025] Open
Abstract
BACKGROUND Acute stroke (cerebral infarction) is a leading cause of morbidity and mortality worldwide, with patient outcomes influenced by demographic factors, comorbidities, and hospital characteristics. This study examines the differences in baseline characteristics, comorbidities, and hospital-related factors between survivors and non-survivors of acute stroke. METHODS This study analyzed the 2023 Nationwide Readmission Database (NRD) data to identify predictors of in-hospital mortality in acute stroke (cerebral infarction). Patients were identified using the International Classification of Diseases, 10th Revision (ICD-10) codes, and exclusions included missing data, December admissions, and 30-day readmissions. Multivariable logistic regression assessed mortality risk factors, adjusting for demographics, comorbidities, and hospital characteristics (p < 0.05). RESULTS Non-survivors had a significantly higher median age (73 years vs. 71 years, p < 0.001) and included a slightly higher proportion of women (48.8% vs. 47.2%, p < 0.001). The prevalence of comorbidities, including cardiac arrest (11.9% vs. 0.7%), heart failure (35.1% vs. 0.7%), and respiratory failure (71.2% vs. 11.7%), was markedly higher among non-survivors (p < 0.001 for all). Hospitalization costs were significantly greater for non-survivors ($122,763.67 vs. $56,497, p < 0.001), and the length of stay was longer (seven days vs. four days, p < 0.001). Most admissions occurred in private non-profit hospitals, with large hospitals treating a higher proportion of non-survivors (p < 0.001). CONCLUSION The study highlights critical factors influencing stroke mortality, including advanced age, cardiovascular and metabolic comorbidities, and hospital resource utilization. These findings emphasize the need for early risk stratification, targeted intervention strategies, and equitable healthcare access to improve survival rates among high-risk stroke patients.
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Affiliation(s)
- Azhar Ushmani
- Department of Information Security, Amazon Web Service (AWS), Dallas, USA
| | - Sandipkumar Patel
- Independent Research, Gujarat Technological University, Ahmedabad, IND
| | | | - Dheeraj Kommineni
- Department of Systems Analytics, Hanker Systems Inc., Chantilly, USA
| | - Chrishanti Anna Joseph
- Department of Anesthesiology and Perioperative Medicine, University of Pittsburgh, Pittsburgh, USA
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9
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Seetge J, Cséke B, Karádi ZN, Bosnyák E, Szapáry L. Pre-Admission Antiplatelet Therapy in Cryptogenic Stroke: A Double-Edged Sword. J Clin Med 2025; 14:1061. [PMID: 40004592 PMCID: PMC11856265 DOI: 10.3390/jcm14041061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2024] [Revised: 01/18/2025] [Accepted: 02/06/2025] [Indexed: 02/27/2025] Open
Abstract
Background: Cryptogenic stroke, a challenging subtype of acute ischemic stroke (AIS), is characterized by the absence of an identifiable etiology despite thorough diagnostic assessment. The role of pre-admission antiplatelet therapy (APT) in this population remains poorly understood, as current guidelines are primarily based on evidence from other stroke subtypes. Therefore, this study investigates the impact of pre-admission APT on functional outcomes in patients with cryptogenic stroke. Methods: A total of 224 patients with cryptogenic stroke admitted to the University of Pécs between February 2023 and September 2024 were retrospectively analyzed. Propensity score matching (PSM) with sensitivity analysis was employed to balance baseline characteristics, resulting in a matched cohort of 122 patients. Logistic regression and mediation analysis were used to evaluate the association between pre-admission APT and favorable outcome at 90 days, defined as a modified Rankin Scale (mRS) score of 0-2. Results: A favorable outcome was achieved by 39.3% of patients with pre-admission APT (n = 61), compared to 61.7% of those not receiving pre-admission APT (n = 162) (odds ratio [OR] = 0.40, 95% confidence interval [CI]: 0.22-0.74, p = 0.004). After PSM and adjusting for confounders, including pre-morbidity mRS (pre-mRS) (OR = 0.17, CI: 0.06-0.49, p < 0.001), National Institutes of Health Stroke Scale (NIHSS) at 72 h post-stroke (OR = 0.67, CI: 0.50-0.88, p = 0.004), and smoking status (OR = 0.14, CI: 0.02-0.78, p = 0.025), pre-admission APT remained associated with poorer functional outcomes (adjusted OR [aOR] = 0.21, 95% CI: 0.06-0.76, p = 0.018). Conclusions: Pre-admission APT is independently associated with poorer functional outcomes in cryptogenic stroke patients. These findings challenge traditional assumptions regarding APT's protective role and highlight the need for prospective studies to refine its use in cryptogenic stroke management.
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Affiliation(s)
- Jessica Seetge
- Stroke Unit, Department of Neurology, University of Pécs, 7624 Pécs, Hungary; (J.S.); (Z.N.K.); (E.B.)
| | - Balázs Cséke
- Department of Emergency Medicine, University of Pécs, 7624 Pécs, Hungary;
| | - Zsófia Nozomi Karádi
- Stroke Unit, Department of Neurology, University of Pécs, 7624 Pécs, Hungary; (J.S.); (Z.N.K.); (E.B.)
| | - Edit Bosnyák
- Stroke Unit, Department of Neurology, University of Pécs, 7624 Pécs, Hungary; (J.S.); (Z.N.K.); (E.B.)
| | - László Szapáry
- Stroke Unit, Department of Neurology, University of Pécs, 7624 Pécs, Hungary; (J.S.); (Z.N.K.); (E.B.)
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10
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Heer T, Zeymer U, Schwarzbach CJ, Seidl K, Rauch-Kröhnert U, Marler S, Teutsch C, Diener HC, Senges J, Lip GYH, Huisman MV. Characteristics of Patients With Asymptomatic Atrial Fibrillation and Ischemic Stroke-Insights From the GLORIA-AF Registry (Phase 2). Pacing Clin Electrophysiol 2025; 48:42-49. [PMID: 39603823 DOI: 10.1111/pace.15113] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2024] [Revised: 10/22/2024] [Accepted: 11/17/2024] [Indexed: 11/29/2024]
Abstract
BACKGROUND Asymptomatic nonvalvular atrial fibrillation is often suspected in patients with cryptogenic stroke which constitute 20%-30% of ischemic strokes. Detection of atrial fibrillation (AF) and treatment with anticoagulation can reduce the risk of stroke. We sought to investigate the prevalence of asymptomatic atrial fibrillation (aAF) in patients with a history of stroke or an acute stroke on admission. METHODS From November 2011 until December 2014, 15,308 patients with a first episode of AF were enrolled in phase 2 of the international, prospective, multicenter global registry on long-term oral anticoagulation treatment in patients with AF (GLORIA-AF) Registry. For the present analysis, we focused on patients with aAF regarding the prevalence of stroke. RESULTS One third of patients (n = 4892, 32%) had aAF. Of these, 611 (12.5%) had a history of stroke or an acute stroke on admission. In contrast, 519 of 10,416 (5.0%) patients with symptomatic AF (sAF) had a history of stroke or an acute stroke on admission. Higher age, male gender, permanent AF, stroke, and the combination of stroke, TIA or systemic embolism were associated with a higher prevalence of aAF on admission. In a multivariable analysis, patients with aAF had a 2.3-fold (95% confidence interval (CI), 2.02-2.54) risk for stroke compared to patients with sAF. Other independent risk factors for stroke were a history of prior bleeding (odds ratio 1.62, 95% CI, 1.34-1.92), chronic kidney disease (1.38, 1.21-1.56), and diabetes mellitus (1.24, 1.10-1.41). CONCLUSION aAF is reported in about one third of patients with newly diagnosed AF and is associated with a 2.3-fold risk for stroke compared to sAF. Therefore, screening for aAF in high-risk patients might be appropriate to prevent further embolic cerebrovascular events.
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Affiliation(s)
- Tobias Heer
- Department of Cardiology, München Klinik Neuperlach, Academic Teaching Hospital of LMU University of Munich, Munich, Germany
| | - Uwe Zeymer
- Department of Cardiology, Klinikum der Stadt Ludwigshafen am Rhein, Ludwigshafen, Germany
- Stiftung Institut für Herzinfarktforschung, Ludwigshafen, Germany
| | | | | | | | - Sabrina Marler
- Boehringer Ingelheim Pharmaceuticals, Ridgefield, Connecticut, USA
| | | | - Hans-Christoph Diener
- Institute for Medical Informatics, Biometry and Epidemiology (IMIBE), University Duisburg-Essen, Essen, Germany
| | - Jochen Senges
- Stiftung Institut für Herzinfarktforschung, Ludwigshafen, Germany
| | - Gregory Y H Lip
- Liverpool Centre of Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest Hospital, Liverpool, UK
- Department of Clinical Medicine, Danish Center for Health Services Research, Aalborg University, Aalborg, Denmark
| | - Menno V Huisman
- Department of Thrombosis and Hemostasis, Leiden University Medical Centre, Leiden, Netherlands
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11
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Kikuno M, Ueno Y. Overview and Future Direction of Embolic Stroke of Undetermined Source from the Insights of CHALLENGE ESUS/CS Registry. J Atheroscler Thromb 2024; 31:1641-1651. [PMID: 39343604 PMCID: PMC11620840 DOI: 10.5551/jat.rv22026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2024] [Accepted: 08/07/2024] [Indexed: 10/01/2024] Open
Abstract
Cryptogenic stroke (CS) accounts for approximately one-fourth of acute ischemic strokes, with most cases derived from embolic etiologies. In 2014, embolic stroke of undetermined source (ESUS) was advocated and the efficacy of anticoagulant therapy was anticipated. However, 3 large-scale clinical trials failed to demonstrate the superiority of direct oral anticoagulants (DOACs) over aspirin, potentially due to the heterogeneous and diverse pathologies of ESUS, including paroxysmal atrial fibrillation (AF), arteriogenic sources such as nonstenotic carotid plaque and aortic complicated lesion (ACL), patent foramen oval (PFO), and nonbacterial thrombotic endocarditis (NBTE) related to active cancer.Transesophageal echocardiography (TEE) is one of the most effective imaging modalities for assessing embolic sources in ESUS and CS. The Mechanisms of Embolic Stroke Clarified by Transesophageal Echocardiography for Embolic Stroke of Undetermined Source/Cryptogenic Stroke (CHALLENGE ESUS/CS) registry is a multicenter registry that enrolled consecutive patients with CS who underwent TEE at 8 hospitals in Japan between April 2014 and December 2016. Their mean age was 68.7±12.8 years, and 455 patients (67.2%) were male. The median National Institutes of Health Stroke Scale (NIHSS) score was 2. Since 7 analyses have been conducted from each institution to date, novel and significant insights regarding embolic origins and pathophysiologies of ESUS and CS were elucidated from this multicenter registry. This review discusses the diagnosis and treatment of ESUS and CS, tracing their past and future directions. Meaningful insights from the CHALLENGE ESUS/CS registry are also referenced and analyzed.
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Affiliation(s)
- Muneaki Kikuno
- Depratment of Neurology, Tokyo Medical University Hospital, Tokyo, Japan
| | - Yuji Ueno
- Department of Neurology, University of Yamanashi Hospital, Yamanashi, Japan
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12
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Lin HS, Sung PH, Huang SH, Lin WC, Chiang JY, Ma MC, Chen YL, Chen KH, Lee FY, Ko SF, Yip HK. Long term outcomes of intracarotid arterial transfusion of circulatory-derived autologous CD34 + cells for acute ischemic stroke patients-A randomized, open-label, controlled phase II clinical trial. Stem Cell Res Ther 2024; 15:443. [PMID: 39568005 PMCID: PMC11577584 DOI: 10.1186/s13287-024-04021-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2024] [Accepted: 10/28/2024] [Indexed: 11/22/2024] Open
Abstract
BACKGROUND This phase II randomized controlled trial tested whether the intracarotid arterial administration (ICAA) of autologous CD34 + cells to patients within 14 ± 7 days after acute ischemic stroke (IS) could be safe and further improve short- and long-term outcomes. METHODS Between January 2018 and March 2022, 28 consecutive patients were equally randomly allocated to the cell-treated group (CD34 + cells/3.0 × 107/patient) or the control group (receiving optimal medical therapy). CD34 + cells were transfused into the ipsilateral brain infarct zone of cell-treated patients via the ICAA in the catheterization room. RESULTS The results demonstrated 100% safety and success rates for the procedure, and no long-term tumorigenesis was observed in cell-treated patients. In cell-treated patients, the angiogenesis capacity of circulating endothelial progenitor cells (EPCs)/Matrigel was significantly greater after treatment than before treatment with granulocyte colony-stimulating factor (all p < 0.001). Blood samples from the right internal jugular vein of the cell-treated patients presented significantly greater levels of the stromal cell-derived factor 1α/EPC at 5, 10 and 30 min compared with 0 min (all p < 0.005). The National Institute of Health Stroke Scale scores were similar upon presentation, but a greater response was observed by Days 30 and 90 in the cell-treated group than in the control group. Tc-99 m brain perfusion was significantly greater at 180 days in the cell-treated group than in the control group (p = 0.046). The combined long-term end points (defined as death/recurrent stroke/or severe disability) were notably lower in the control group compared with the cell-treated group (14.3% vs. 50.0%, p = 0.103). CONCLUSION Intracarotid transfusion of autologous CD34 + cells is safe and might improve long-term outcomes in patients with acute IS. Trial registration ISRCTN, ISRCTN15677760. Registered 23 April 2018- Retrospectively registered, https://doi.org/10.1186/ISRCTN15677760.
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Affiliation(s)
- Hung-Sheng Lin
- Department of Neurology, Cognition and Aging Center, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, 83301, Taiwan
| | - Pei-Hsun Sung
- Division of Cardiology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, 123, Dapi Road, Niaosung Dist., Kaohsiung City, 83301, Taiwan
- Institute for Translational Research in Biomedicine, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, 83301, Taiwan
- Center for Shockwave Medicine and Tissue Engineering, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, 83301, Taiwan
| | - Shu-Hua Huang
- Department of Nuclear Medicine, Kaohsiung Chang Gung Memorial Hospital and, Chang Gung University College of Medicine, Kaohsiung, 83301, Taiwan
| | - Wei-Che Lin
- Department of Diagnostic Radiology, Kaohsiung Chang Gung Memorial Hospital, and Chang Gung University College of Medicine, Kaohsiung, 83301, Taiwan
| | - John Y Chiang
- Department of Computer Science and Engineering, National Sun Yat-Sen University, Kaohsiung, 804201, Taiwan
- Department of Healthcare Administration and Medical Informatics, Kaohsiung Medical University, Kaohsiung, 80708, Taiwan
| | - Ming-Chun Ma
- Department of Internal Medicine, Division of Hema-Oncology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, 83301, Taiwan
| | - Yi-Ling Chen
- Division of Cardiology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, 123, Dapi Road, Niaosung Dist., Kaohsiung City, 83301, Taiwan
- Institute for Translational Research in Biomedicine, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, 83301, Taiwan
- Center for Shockwave Medicine and Tissue Engineering, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, 83301, Taiwan
| | - Kuan-Hung Chen
- Department of Anesthesiology, Kaohsiung Chang Gung Memorial Hospital and, Chang Gung University College of Medicine, Kaohsiung, 83301, Taiwan
| | - Fan-Yen Lee
- Department of Surgery, Division of Cardiovascular Surgery, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, 83301, Taiwan
| | - Sheung-Fat Ko
- Department of Radiology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, 83301, Taiwan
| | - Hon-Kan Yip
- Division of Cardiology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, 123, Dapi Road, Niaosung Dist., Kaohsiung City, 83301, Taiwan.
- Institute for Translational Research in Biomedicine, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, 83301, Taiwan.
- Center for Shockwave Medicine and Tissue Engineering, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, 83301, Taiwan.
- Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, 40402, Taiwan.
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13
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Kakarla R, Vinjavarapu LA, Krishnamurthy S. Diet and Nutraceuticals for treatment and prevention of primary and secondary stroke: Emphasis on nutritional antiplatelet and antithrombotic agents. Neurochem Int 2024; 179:105823. [PMID: 39084351 DOI: 10.1016/j.neuint.2024.105823] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2024] [Revised: 07/26/2024] [Accepted: 07/29/2024] [Indexed: 08/02/2024]
Abstract
Ischemic stroke is a devastating disease that causes morbidity and mortality. Malnutrition following ischemic stroke is common in stroke patients. During the rehabilitation, the death rates of stroke patients are significantly increased due to malnutrition. Nutritional supplements such as protein, vitamins, fish, fish oils, moderate wine or alcohol consumption, nuts, minerals, herbal products, food colorants, marine products, fiber, probiotics and Mediterranean diets have improved neurological functions in stroke patients as well as their quality of life. Platelets and their mediators contribute to the development of clots leading to stroke. Ischemic stroke patients are treated with thrombolytics, antiplatelets, and antithrombotic agents. Several systematic reviews, meta-analyses, and clinical trials recommended that consumption of these nutrients and diets mitigated the vascular, peripheral, and central complications associated with ischemic stroke (Fig. 2). Particularly, these nutraceuticals mitigated the platelet adhesion, activation, and aggregation that intended to reduce the risks of primary and secondary stroke. Although these nutraceuticals mitigate platelet dysfunction, there is a greater risk of bleeding if consumed excessively. Moreover, malnutrition must be evaluated and adequate amounts of nutrients must be provided to stroke patients during intensive care units and rehabilitation periods. In this review, we have summarized the importance of diet and nutraceuticals in ameliorating neurological complications and platelet dysfunction with an emphasis on primary and secondary prevention of ischemic stroke.
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Affiliation(s)
- Ramakrishna Kakarla
- KL College of Pharmacy, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, 522302, India
| | | | - Sairam Krishnamurthy
- Department of Pharmaceutical Engineering and Technology, Indian Institute of Technology, Banaras Hindu University (IIT BHU), Varanasi, Uttar Pradesh, India.
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14
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Zedde M, Pascarella R. The Cerebrovascular Side of Plasticity: Microvascular Architecture across Health and Neurodegenerative and Vascular Diseases. Brain Sci 2024; 14:983. [PMID: 39451997 PMCID: PMC11506257 DOI: 10.3390/brainsci14100983] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2024] [Revised: 09/24/2024] [Accepted: 09/24/2024] [Indexed: 10/26/2024] Open
Abstract
The delivery of nutrients to the brain is provided by a 600 km network of capillaries and microvessels. Indeed, the brain is highly energy demanding and, among a total amount of 100 billion neurons, each neuron is located just 10-20 μm from a capillary. This vascular network also forms part of the blood-brain barrier (BBB), which maintains the brain's stable environment by regulating chemical balance, immune cell transport, and blocking toxins. Typically, brain microvascular endothelial cells (BMECs) have low turnover, indicating a stable cerebrovascular structure. However, this structure can adapt significantly due to development, aging, injury, or disease. Temporary neural activity changes are managed by the expansion or contraction of arterioles and capillaries. Hypoxia leads to significant remodeling of the cerebrovascular architecture and pathological changes have been documented in aging and in vascular and neurodegenerative conditions. These changes often involve BMEC proliferation and the remodeling of capillary segments, often linked with local neuronal changes and cognitive function. Cerebrovascular plasticity, especially in arterioles, capillaries, and venules, varies over different time scales in development, health, aging, and diseases. Rapid changes in cerebral blood flow (CBF) occur within seconds due to increased neural activity. Prolonged changes in vascular structure, influenced by consistent environmental factors, take weeks. Development and aging bring changes over months to years, with aging-associated plasticity often improved by exercise. Injuries cause rapid damage but can be repaired over weeks to months, while neurodegenerative diseases cause slow, varied changes over months to years. In addition, if animal models may provide useful and dynamic in vivo information about vascular plasticity, humans are more complex to investigate and the hypothesis of glymphatic system together with Magnetic Resonance Imaging (MRI) techniques could provide useful clues in the future.
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Affiliation(s)
- Marialuisa Zedde
- Neurology Unit, Stroke Unit, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Viale Risorgimento 80, 42123 Reggio Emilia, Italy
| | - Rosario Pascarella
- Neuroradiology Unit, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Viale Risorgimento 80, 42123 Reggio Emilia, Italy;
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15
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Zhang Y, Zhao T, Ye L, Yan S, Shentu W, Lai Q, Qiao S. Advances in retinal imaging biomarkers for the diagnosis of cerebrovascular disease. Front Neurol 2024; 15:1393899. [PMID: 39364416 PMCID: PMC11448315 DOI: 10.3389/fneur.2024.1393899] [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: 03/05/2024] [Accepted: 09/04/2024] [Indexed: 10/05/2024] Open
Abstract
The increasing incidence and mortality rates of cerebrovascular disease impose a heavy burden on both patients and society. Retinal imaging techniques, such as fundus photography, optical coherence tomography, and optical coherence tomography angiography, can be used for rapid, non-invasive evaluation of cerebral microcirculation and brain function since the retina and the central nervous system share similar embryonic origin characteristics and physiological features. This article aimed to review retinal imaging biomarkers related to cerebrovascular diseases and their applications in cerebrovascular diseases (stroke, cerebral small vessel disease [CSVD], and vascular cognitive impairment [VCI]), thus providing reference for early diagnosis and prevention of cerebrovascular diseases.
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Affiliation(s)
- Yier Zhang
- The Second Clinical Medical College, Zhejiang Chinese Medicine University, Hangzhou, Zhejiang, China
| | - Ting Zhao
- Department of Neurology, Zhejiang Hospital, Hangzhou, Zhejiang, China
| | - Ling Ye
- Department of Geriatrics, Jinhua Fifth Hospital, Jinhua, Zhejiang, China
| | - Sicheng Yan
- The Second Clinical Medical College, Zhejiang Chinese Medicine University, Hangzhou, Zhejiang, China
| | - Wuyue Shentu
- The Second Clinical Medical College, Zhejiang Chinese Medicine University, Hangzhou, Zhejiang, China
| | - Qilun Lai
- Department of Neurology, Zhejiang Hospital, Hangzhou, Zhejiang, China
| | - Song Qiao
- The Second Clinical Medical College, Zhejiang Chinese Medicine University, Hangzhou, Zhejiang, China
- Department of Neurology, Zhejiang Hospital, Hangzhou, Zhejiang, China
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16
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Kim DY, Park TH, Cho YJ, Park JM, Lee K, Lee M, Lee J, Bae SY, Hong DY, Jung H, Ko E, Guk HS, Kim BJ, Kim JY, Kang J, Han MK, Park SS, Hong KS, Park HK, Lee JY, Lee BC, Yu KH, Oh MS, Kim DE, Gwak DS, Lee SJ, Kim JG, Lee J, Kwon DH, Cha JK, Kim DH, Kim JT, Choi KH, Kim H, Choi JC, Kim JG, Kang CH, Sohn SI, Hong JH, Park H, Lee SH, Kim C, Shin DI, Yum KS, Kang K, Park KY, Jeong HB, Park CY, Lee KJ, Kwon JH, Kim WJ, Lee JS, Bae HJ. Contemporary Statistics of Acute Ischemic Stroke and Transient Ischemic Attack in 2021: Insights From the CRCS-K-NIH Registry. J Korean Med Sci 2024; 39:e278. [PMID: 39228188 PMCID: PMC11372415 DOI: 10.3346/jkms.2024.39.e278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2024] [Accepted: 08/07/2024] [Indexed: 09/05/2024] Open
Abstract
This report presents the latest statistics on the stroke population in South Korea, sourced from the Clinical Research Collaborations for Stroke in Korea-National Institute for Health (CRCS-K-NIH), a comprehensive, nationwide, multicenter stroke registry. The Korean cohort, unlike western populations, shows a male-to-female ratio of 1.5, attributed to lower risk factors in Korean women. The average ages for men and women are 67 and 73 years, respectively. Hypertension is the most common risk factor (67%), consistent with global trends, but there is a higher prevalence of diabetes (35%) and smoking (21%). The prevalence of atrial fibrillation (19%) is lower than in western populations, suggesting effective prevention strategies in the general population. A high incidence of large artery atherosclerosis (38%) is observed, likely due to prevalent intracranial arterial disease in East Asians and advanced imaging techniques. There has been a decrease in intravenous thrombolysis rates, from 12% in 2017-2019 to 10% in 2021, with no improvements in door-to-needle and door-to-puncture times, worsened by the coronavirus disease 2019 pandemic. While the use of aspirin plus clopidogrel for non-cardioembolic stroke and direct oral anticoagulants for atrial fibrillation is well-established, the application of direct oral anticoagulants for non-atrial fibrillation cardioembolic strokes in the acute phase requires further research. The incidence of early neurological deterioration (13%) and the cumulative incidence of recurrent stroke at 3 months (3%) align with global figures. Favorable outcomes at 3 months (63%) are comparable internationally, yet the lack of improvement in dependency at 3 months highlights the need for advancements in acute stroke care.
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Affiliation(s)
- Do Yeon Kim
- Department of Neurology and Cerebrovascular Center, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Tai Hwan Park
- Department of Neurology, Seoul Medical Center, Seoul, Korea
| | - Yong-Jin Cho
- Department of Neurology, Inje University Ilsan Paik Hospital, Goyang, Korea
| | - Jong-Moo Park
- Uijeongbu Eulji Medical Center, Eulji University School of Medicine, Uijeongbu, Korea
| | - Kyungbok Lee
- Department of Neurology, Soonchunhyang University Hospital Seoul, Seoul, Korea
| | - Minwoo Lee
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, Korea
| | - Juneyoung Lee
- Department of Biostatistics, Korea University College of Medicine, Seoul, Korea
| | - Sang Yoon Bae
- Department of Biostatistics, Korea University College of Medicine, Seoul, Korea
| | - Da Young Hong
- Department of Biostatistics, Korea University College of Medicine, Seoul, Korea
| | - Hannah Jung
- Department of Biostatistics, Korea University College of Medicine, Seoul, Korea
| | - Eunvin Ko
- Department of Biostatistics, Korea University College of Medicine, Seoul, Korea
| | - Hyung Seok Guk
- Department of Neurology and Cerebrovascular Center, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Beom Joon Kim
- Department of Neurology and Cerebrovascular Center, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Jun Yup Kim
- Department of Neurology and Cerebrovascular Center, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Jihoon Kang
- Department of Neurology and Cerebrovascular Center, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Moon-Ku Han
- Department of Neurology and Cerebrovascular Center, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Sang-Soon Park
- Department of Neurology, Seoul Medical Center, Seoul, Korea
| | - Keun-Sik Hong
- Department of Neurology, Inje University Ilsan Paik Hospital, Goyang, Korea
| | - Hong-Kyun Park
- Department of Neurology, Inje University Ilsan Paik Hospital, Goyang, Korea
| | - Jeong-Yoon Lee
- Department of Neurology, Soonchunhyang University Hospital Seoul, Seoul, Korea
| | - Byung-Chul Lee
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, Korea
| | - Kyung-Ho Yu
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, Korea
| | - Mi Sun Oh
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, Korea
| | - Dong-Eog Kim
- Department of Neurology, Dongguk University Ilsan Hospital, Goyang, Korea
| | - Dong-Seok Gwak
- Department of Neurology, Dongguk University Ilsan Hospital, Goyang, Korea
| | - Soo Joo Lee
- Department of Neurology, Eulji University, School of Medicine, Daejeon Eulji Medical Center, Daejeon, Korea
| | - Jae Guk Kim
- Department of Neurology, Eulji University, School of Medicine, Daejeon Eulji Medical Center, Daejeon, Korea
| | - Jun Lee
- Department of Neurology, Yeungnam University Medical Center, Daegu, Korea
| | - Doo Hyuk Kwon
- Department of Neurology, Yeungnam University Medical Center, Daegu, Korea
| | - Jae-Kwan Cha
- Department of Neurology, Dong-A University Hospital, Busan, Korea
| | - Dae-Hyun Kim
- Department of Neurology, Dong-A University Hospital, Busan, Korea
| | - Joon-Tae Kim
- Department of Neurology, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, Korea
| | - Kang-Ho Choi
- Department of Neurology, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, Korea
| | - Hyunsoo Kim
- Department of Neurology, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, Korea
| | - Jay Chol Choi
- Department of Neurology, Jeju National University Hospital, Jeju National University College of Medicine, Jeju, Korea
| | - Joong-Goo Kim
- Department of Neurology, Jeju National University Hospital, Jeju National University College of Medicine, Jeju, Korea
| | - Chul-Hoo Kang
- Department of Neurology, Jeju National University Hospital, Jeju National University College of Medicine, Jeju, Korea
| | - Sung-Il Sohn
- Department of Neurology, Keimyung University Dongsan Hospital, Daegu, Korea
| | - Jeong-Ho Hong
- Department of Neurology, Keimyung University Dongsan Hospital, Daegu, Korea
| | - Hyungjong Park
- Department of Neurology, Keimyung University Dongsan Hospital, Daegu, Korea
| | - Sang-Hwa Lee
- Department of Neurology, Chuncheon Sacred Heart Hospital, Chuncheon, Korea
| | - Chulho Kim
- Department of Neurology, Chuncheon Sacred Heart Hospital, Chuncheon, Korea
| | - Dong-Ick Shin
- Department of Neurology, Chungbuk National University Hospital, Chungbuk National University College of Medicine, Cheongju, Korea
| | - Kyu Sun Yum
- Department of Neurology, Chungbuk National University Hospital, Chungbuk National University College of Medicine, Cheongju, Korea
| | - Kyusik Kang
- Department of Neurology, Nowon Eulji Medical Center, Eulji University School of Medicine, Seoul, Korea
| | - Kwang-Yeol Park
- Department of Neurology, Chung-Ang University Hospital, Seoul, Korea
| | - Hae-Bong Jeong
- Department of Neurology, Chung-Ang University Hospital, Seoul, Korea
| | - Chan-Young Park
- Department of Neurology, Chung-Ang University Hospital, Seoul, Korea
| | - Keon-Joo Lee
- Department of Neurology, Korea University Guro Hospital, Seoul, Korea
| | - Jee Hyun Kwon
- Department of Neurology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Korea
| | - Wook-Joo Kim
- Department of Neurology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Korea
| | - Ji Sung Lee
- Clinical Research Center, Asan Institute for Life Sciences, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Hee-Joon Bae
- Department of Neurology and Cerebrovascular Center, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea.
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17
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Li X, Li J, Yu F, Feng X, Luo Y, Liu Z, Zhao T, Xia J. The Untargeted Metabolomics Reveals Differences in Energy Metabolism in Patients with Different Subtypes of Ischemic Stroke. Mol Neurobiol 2024; 61:5308-5319. [PMID: 38183570 DOI: 10.1007/s12035-023-03884-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 12/13/2023] [Indexed: 01/08/2024]
Abstract
AIMS Ischemic stroke (IS) is the most common subtype of stroke. The risk factors and pathogenesis of IS are complex and varied due to different subtypes. Therefore, we used metabolomics technology to investigate the biomarkers and potential pathophysiological mechanisms of different subtypes of IS. METHODS We included 126 IS patients and divided them into two groups based on the TOAST classification: large-artery atherosclerosis (LAA) group (n = 87) and small-vessel occlusion (SVO) group (n = 39). Plasma metabolomics analysis was performed using liquid chromatography-high-resolution mass spectrometry (LC-HRMS) to identify metabolic profiles in LAA and SVO subtype IS patients and to determine metabolic differences between patients with the two subtypes of IS. RESULTS We identified 26 differential metabolites between LAA and SVO subtype IS. A multiple prediction model based on the plasm metabolites had good predictive ability for IS subtyping (AUC = 0.822, accuracy = 77.8%), with 12,13-DHOME being the most important differential metabolite in the model. The differential metabolic pathways between the two subtypes of IS patients included tricarboxylic acid (TCA) cycle, alanine, aspartate and glutamate metabolism, and pyruvate metabolism, mainly focused on energy metabolism. CONCLUSION 12,13-DHOME emerged as the primary discriminatory metabolite between LAA and SVO subtypes of IS. In LAA subtype IS patients, energy metabolism, encompassing pyruvate metabolism and the TCA cycle, exhibited lower activity levels when compared to patients with the SVO subtype IS. The utilization of targeted metabolomics holds the potential to improve diagnostic accuracy for distinguishing stroke subtypes.
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Affiliation(s)
- Xi Li
- Department of Neurology, Xiangya Hospital, Central South University, 87# Xiangya Road, Changsha, 410008, Hunan, China
| | - Jiaxin Li
- Department of Neurology, Xiangya Hospital, Central South University, 87# Xiangya Road, Changsha, 410008, Hunan, China
| | - Fang Yu
- Department of Neurology, Xiangya Hospital, Central South University, 87# Xiangya Road, Changsha, 410008, Hunan, China
| | - Xianjing Feng
- Department of Neurology, Xiangya Hospital, Central South University, 87# Xiangya Road, Changsha, 410008, Hunan, China
| | - Yunfang Luo
- Department of Neurology, Xiangya Hospital, Central South University, 87# Xiangya Road, Changsha, 410008, Hunan, China
| | - Zeyu Liu
- Department of Neurology, Xiangya Hospital, Central South University, 87# Xiangya Road, Changsha, 410008, Hunan, China
| | - Tingting Zhao
- Department of Neurology, Xiangya Hospital, Central South University, 87# Xiangya Road, Changsha, 410008, Hunan, China
| | - Jian Xia
- Department of Neurology, Xiangya Hospital, Central South University, 87# Xiangya Road, Changsha, 410008, Hunan, China.
- Clinical Research Center for Cerebrovascular Disease of Hunan Province, Central South University, Changsha, Hunan, China.
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China.
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18
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Wu MJ, Dewi SRK, Hsu WT, Hsu TY, Liao SF, Chan L, Lin MC. Exploring Relationships of Heart Rate Variability, Neurological Function, and Clinical Factors with Mortality and Behavioral Functional Outcome in Patients with Ischemic Stroke. Diagnostics (Basel) 2024; 14:1304. [PMID: 38928719 PMCID: PMC11202750 DOI: 10.3390/diagnostics14121304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2024] [Revised: 06/10/2024] [Accepted: 06/12/2024] [Indexed: 06/28/2024] Open
Abstract
Ischemic stroke is a leading cause of mortality and disability. The relationships of heart rate variability (HRV) and stroke-related factors with mortality and functional outcome are complex and not fully understood. Understanding these relationships is crucial for providing better insights regarding ischemic stroke prognosis. The objective of this study is to examine the relationship between HRV, neurological function, and clinical factors with mortality and 3-month behavioral functional outcome in ischemic stroke. We prospectively collected the HRV data and monitored the behavioral functional outcome of patients with ischemic stroke. The behavioral functional outcome was represented by a modified Rankin Scale (mRS) score. This study population consisted of 58 ischemic stroke patients (56.9% male; mean age 70) with favorable (mRS score ≤ 2) and unfavorable (mRS score ≥ 3) outcome. The analysis indicated that the median of the mean RR interval (RR mean) showed no statistical difference between mortality groups. Conversely, the median of the RR mean had significant association with unfavorable outcome (OR = 0.989, p = 0.007). Lower hemoglobin levels had significant association with unfavorable outcome (OR = 0.411, p = 0.010). Higher National Institute of Health Stroke Scale (NIHSS) score at admission had significant association with unfavorable outcome (OR = 1.396, p = 0.002). In contrast, age, stroke history, NIHSS score at admission, and hemoglobin showed no significant association with mortality in ischemic stroke. These results imply that HRV, as indicated by the median of RR mean, alongside specific clinical factors and neurological function at admission (measured by NIHSS score), may serve as potential prognostic indicators for 3-month behavioral functional outcome in ischemic stroke.
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Affiliation(s)
- Mei-Jung Wu
- Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, New Taipei City 235, Taiwan
- Nursing Department, Wan Fang Hospital, Taipei Medical University, Taipei 116, Taiwan
| | - Sari R. K. Dewi
- Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, New Taipei City 235, Taiwan
| | - Wan-Ting Hsu
- Nursing Department, Wan Fang Hospital, Taipei Medical University, Taipei 116, Taiwan
| | - Tien-Yu Hsu
- Institute of Brain Science, National Yang Ming Chiao Tung University, Taipei 112, Taiwan
- Sleep Research Center, National Yang Ming Chiao Tung University, Taipei 112, Taiwan
| | - Shu-Fen Liao
- Department of Medical Research, Wan Fang Hospital, Taipei Medical University, Taipei 116, Taiwan
- School of Public Health, College of Public Health, Taipei Medical University, New Taipei City 235, Taiwan
| | - Lung Chan
- Department of Neurology, Shuang Ho Hospital, Taipei Medical University, New Taipei City 235, Taiwan
- Department of Neurology, School of Medicine, College of Medicine, Taipei Medical University, Taipei 110, Taiwan
- Taipei Neuroscience Institute, Taipei Medical University, Taipei 110, Taiwan
| | - Ming-Chin Lin
- Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, New Taipei City 235, Taiwan
- Taipei Neuroscience Institute, Taipei Medical University, Taipei 110, Taiwan
- Department of Neurosurgery, Wan Fang Hospital, Taipei Medical University, Taipei 116, Taiwan
- Department of Neurosurgery, Shuang Ho Hospital, Taipei Medical University, New Taipei City 235, Taiwan
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19
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Amin AM, Ghaly R, Abuelazm MT, Ibrahim AA, Tanashat M, Arnaout M, Altobaishat O, Elshahat A, Abdelazeem B, Balla S. Clinical decision support systems to optimize adherence to anticoagulant guidelines in patients with atrial fibrillation: a systematic review and meta-analysis of randomized controlled trials. Thromb J 2024; 22:45. [PMID: 38807186 PMCID: PMC11134712 DOI: 10.1186/s12959-024-00614-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Accepted: 05/11/2024] [Indexed: 05/30/2024] Open
Abstract
BACKGROUND Clinical decision support systems (CDSS) have been utilized as a low-cost intervention to improve healthcare process measures. Thus, we aim to estimate CDSS efficacy to optimize adherence to oral anticoagulant guidelines in eligible patients with atrial fibrillation (AF). METHODS A systematic review and meta-analysis of randomized controlled trials (RCTs) retrieved from PubMed, WOS, SCOPUS, EMBASE, and CENTRAL through August 2023. We used RevMan V. 5.4 to pool dichotomous data using risk ratio (RR) with a 95% confidence interval (CI). PROSPERO ID CRD42023471806. RESULTS We included nine RCTs with a total of 25,573 patients. There was no significant difference, with the use of CDSS compared to routine care, in the number of patients prescribed anticoagulants (RR: 1.06, 95% CI [0.98, 1.14], P = 0.16), the number of patients prescribed antiplatelets (RR: 1.01 with 95% CI [0.97, 1.06], P = 0.59), all-cause mortality (RR: 1.19, 95% CI [0.31, 4.50], P = 0.80), major bleeding (RR: 0.84, 95% CI [0.21, 3.45], P = 0.81), and clinically relevant non-major bleeding (RR: 1.05, 95% CI [0.52, 2.16], P = 0.88). However, CDSS was significantly associated with reduced incidence of myocardial infarction (RR: 0.18, 95% CI [0.06, 0.54], P = 0.002) and cerebral or systemic embolic event (RR: 0.11, 95% CI [0.01, 0.83], P = 0.03). CONCLUSION We report no significant difference with the use of CDSS compared to routine care in anticoagulant or antiplatelet prescription in eligible patients with AF. CDSS was associated with a reduced incidence of myocardial infarction and cerebral or systemic embolic events.
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Affiliation(s)
| | - Ramy Ghaly
- Internal Medicine, University of Missouri-Kansas City, Kansas City, MO, USA
| | | | | | | | | | - Obieda Altobaishat
- Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan
| | | | - Basel Abdelazeem
- Department of Cardiology, West Virginia University, Morgantown, WV, USA
| | - Sudarshan Balla
- Department of Cardiology, West Virginia University, Morgantown, WV, USA
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20
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Wang K, Zhang B, Li M, Duan H, Jiang Z, Gao S, Chen J, Fang S. Evaluation of the causal effects of immune cells on ischemic stroke: a Mendelian randomization study. Front Immunol 2024; 15:1374350. [PMID: 38855113 PMCID: PMC11157000 DOI: 10.3389/fimmu.2024.1374350] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Accepted: 05/10/2024] [Indexed: 06/11/2024] Open
Abstract
Background Ischemic stroke (IS) is a cerebrovascular disease caused by various factors, and its etiology remains inadequately understood. The role of immune system dysfunction in IS has been increasingly recognized. Our objective was to evaluate whether circulating immune cells causally impact IS risk. Methods We conducted two-sample Mendelian randomization analyses to evaluate the causal effects of 731 immune cell traits on IS, utilizing publicly available genome-wide association studies (GWAS) summary statistics for 731 immune cell traits as exposure data, and two GWAS statistics for IS as outcome data. A set of sensitivity analyses, including Cochran's Q test, I 2 statistics, MR-Egger intercept test, MR-PRESSO global test, and leave-one-out sensitivity analyses, were performed to assess the robustness of the results. Additionally, meta-analyses were conducted to combine the results from the two different IS datasets. Finally, we extracted instrumental variables of immune cell traits with causal effects on IS in both IS datasets for SNP annotation. Results A total of 41 and 35 immune cell traits were identified to have significant causal effects on IS based on two different IS datasets, respectively. Among them, the immune cell trait CD62L- plasmacytoid Dendritic Cell AC and CD4+ CD8dim T cell%leukocyte respectively served as risk factor and protective element in both IS datasets. The robustness of the causal effects was confirmed through the sensitivity analyses. The results of the meta-analyses further support the causal effects of CD62L- plasmacytoid Dendritic Cell AC (pooled OR=1.030, 95%CI: 1.011-1.049, P=0.002) and CD4+ CD8dim T cell%leukocyte (pooled OR=0.959, 95%CI: 0.935-0.984, P=0.001). Based on these two immune cell traits, 33 genes that may be related to the causal effects were mapped. Conclusions Our study demonstrated the potential causal effects of circulating immune cells on IS, providing valuable insights for future studies aimed at preventing IS.
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Affiliation(s)
| | | | | | | | | | | | | | - Shaokuan Fang
- Department of Neurology, Neuroscience Research Center, The First Hospital of Jilin University, Changchun, China
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21
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Gimžauskaitė A, Inčiūra D, Diringytė G, Lukoševičius S, Kaupas R, Pranculis A, Mačiulaitytė A, Basevičius A, Kuprytė M, Stankevičius E, Plisienė J. Assessment of Plaque Characteristics by Contrast-Enhanced Ultrasound and Stent Restenosis following Carotid Artery Stenting: A Retrospective Study. MEDICINA (KAUNAS, LITHUANIA) 2024; 60:836. [PMID: 38793019 PMCID: PMC11123181 DOI: 10.3390/medicina60050836] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Revised: 05/11/2024] [Accepted: 05/17/2024] [Indexed: 05/26/2024]
Abstract
Background and objective: carotid artery stenosis contributes significantly to ischemic strokes, with management options including carotid endarterectomy (CEA) and carotid artery stenting (CAS) ischemic stroke risk can be reduced. Controversies persist regarding their efficacy and factors influencing complications, and understanding the relationship between atherosclerotic plaque characteristics and stent restenosis after CAS is crucial. Methods: we conducted a retrospective study involving 221 patients who underwent CAS for symptomatic or asymptomatic carotid artery stenosis. Comprehensive assessments of plaque morphology were performed using contrast-enhanced ultrasound (CEUS) before CAS. Patient demographics, including smoking status and diabetes, were also recorded. Stent restenosis was diagnosed using various imaging modalities, including ultrasound, angiography, and digital subtraction angiography (DSA). Results: plaque analysis using CEUS revealed a significant association between plaque grade and restenosis incidence (p < 0.001), particularly with grade 0 (11.1%) and grade 2 plaques (66.7%). Smoking was notably associated with plaque vascularization and restenosis (p < 0.001), while diabetes did not significantly impact plaque characteristics or restenosis risk (p > 0.05). The mean duration of restenosis was 17.67 months. Stenting was the most frequent treatment modality for restenosis (70.6%). However, no significant relationship was found between restenosis type and plaque morphology (p = 0.268). Furthermore, while no clear relationship was observed between plaque morphology and the type of restenosis, our findings underscored the importance of plaque characterization in predicting post-CAS outcomes. Conclusions: this study highlights the utility of CEUS in predicting stent restenosis following CAS. There was a significant association between stent restenosis within 12-24 months after the carotid stenting procedure and an elevated grade of plaque vascularization. Moreover, one of the main factors possibly determining the grade of plaque vascularization was smoking. Further research is warranted to elucidate the underlying mechanisms and refine risk stratification in this patient population.
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Affiliation(s)
- Agnė Gimžauskaitė
- Department of Cardiac, Thoracic and Vascular Surgery, Medical Academy, Lithuanian University of Health Sciences, LT-50161 Kaunas, Lithuania; (D.I.); (A.M.)
| | - Donatas Inčiūra
- Department of Cardiac, Thoracic and Vascular Surgery, Medical Academy, Lithuanian University of Health Sciences, LT-50161 Kaunas, Lithuania; (D.I.); (A.M.)
| | - Gintautė Diringytė
- Faculty of Medicine, Medical Academy, Lithuanian University of Health Sciences, LT-44307 Kaunas, Lithuania;
| | - Saulius Lukoševičius
- Department of Radiology, Medical Academy, Lithuanian University of Health Sciences, LT-50161 Kaunas, Lithuania; (S.L.); (R.K.); (A.P.); (A.B.)
| | - Rytis Kaupas
- Department of Radiology, Medical Academy, Lithuanian University of Health Sciences, LT-50161 Kaunas, Lithuania; (S.L.); (R.K.); (A.P.); (A.B.)
| | - Andrius Pranculis
- Department of Radiology, Medical Academy, Lithuanian University of Health Sciences, LT-50161 Kaunas, Lithuania; (S.L.); (R.K.); (A.P.); (A.B.)
| | - Aistė Mačiulaitytė
- Department of Cardiac, Thoracic and Vascular Surgery, Medical Academy, Lithuanian University of Health Sciences, LT-50161 Kaunas, Lithuania; (D.I.); (A.M.)
| | - Algidas Basevičius
- Department of Radiology, Medical Academy, Lithuanian University of Health Sciences, LT-50161 Kaunas, Lithuania; (S.L.); (R.K.); (A.P.); (A.B.)
| | - Milda Kuprytė
- Department of Pathological Anatomy, Lithuanian University of Health Sciences, LT-50161 Kaunas, Lithuania;
| | - Edgaras Stankevičius
- Institute of Physiology and Pharmacology, Lithuanian University of Health Sciences, LT-50161 Kaunas, Lithuania;
| | - Jurgita Plisienė
- Department of Cardiology Medical Academy, Lithuanian University of Health Sciences, LT-50161 Kaunas, Lithuania;
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22
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Ribeiro JAM, Oliveira SG, Ocamoto GN, Thommazo-Luporini LD, Mendes RG, Borghi-Silva A, Phillips SA, Billinger SA, Russo TL. Hemispheric lateralization, endothelial function, and arterial compliance in chronic post-stroke individuals: a cross-sectional exploratory study. Int J Neurosci 2024; 134:481-491. [PMID: 36028987 DOI: 10.1080/00207454.2022.2118597] [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: 02/24/2022] [Revised: 07/29/2022] [Accepted: 08/17/2022] [Indexed: 10/15/2022]
Abstract
Purpose/Aim: Cardiovascular function is controlled and regulated by a functional brain-heart axis. Although the exact mechanism is not fully understood, several studies suggest a hemispheric asymmetry in the neural control of cardiovascular function. Thus, the purpose of this study was to examine whether endothelial function and arterial compliance differ between individuals with left- and right-sided strokes.Materials and Methods: This was a cross-sectional exploratory study. Thirty individuals more than 6 months after stroke participated in the study. The endothelial function was assessed by ultrasound-measured flow-mediated dilation of the nonparetic arm brachial artery (baFMD). The arterial stiffness was assessed by measuring carotid-femoral pulse wave velocity (cfPWV) and central aortic pulse wave analysis [augmentation index (AIx), augmentation index normalized to a heart rate of 75 bpm (AIx@75) and reflection magnitude (RM)] using applanation tonometry. Results: Participants with right-sided stroke had worse endothelial function than those with left-sided stroke. This difference (baFMD = 2.51%) was significant (p = 0.037), and it represented a medium effect size (r = 0.38). Likewise, they had higher arterial stiffness than those with left-sided stroke. This difference (AIx = 10%; RM = 7%) was significant (p = 0.011; p = 0.012), and it represented a medium effect size (r = 0.48; r = 0.47).Conclusions: Our findings suggest that individuals with right-sided stroke have reduced endothelial function and arterial compliance compared to those with left-sided stroke. These data may indicate that those with right-sided strokes are more susceptible to cardiovascular events.
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Affiliation(s)
| | | | | | | | | | - Audrey Borghi-Silva
- Department of Physical Therapy, Federal University of São Carlos, São Carlos, Brazil
| | - Shane A Phillips
- Department of Physical Therapy, University of Illinois at Chicago, Chicago, USA
| | - Sandra A Billinger
- Department of Neurology, University of Kansas Medical Center, Kansas City, USA
- KU Alzheimer's Disease Research Center, Fairway, KS, USA
| | - Thiago Luiz Russo
- Department of Physical Therapy, Federal University of São Carlos, São Carlos, Brazil
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23
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Seiffge DJ, Cancelloni V, Räber L, Paciaroni M, Metzner A, Kirchhof P, Fischer U, Werring DJ, Shoamanesh A, Caso V. Secondary stroke prevention in people with atrial fibrillation: treatments and trials. Lancet Neurol 2024; 23:404-417. [PMID: 38508836 DOI: 10.1016/s1474-4422(24)00037-1] [Citation(s) in RCA: 30] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 01/19/2024] [Accepted: 01/24/2024] [Indexed: 03/22/2024]
Abstract
Atrial fibrillation is one of the most common cardiac arrhythmias and is a major cause of ischaemic stroke. Recent findings indicate the importance of atrial fibrillation burden (device-detected, subclinical, or paroxysmal and persistent or permanent) and whether atrial fibrillation was known before stroke onset or diagnosed after stroke for the risk of recurrence. Secondary prevention in patients with atrial fibrillation and stroke aims to reduce the risk of recurrent ischaemic stroke. Findings from randomised controlled trials assessing the optimal timing to introduce direct oral anticoagulant therapy after a stroke show that early start (ie, within 48 h for minor to moderate strokes and within 4-5 days for large strokes) seems safe and could reduce the risk of early recurrence. Other promising developments regarding early rhythm control, left atrial appendage occlusion, and novel factor XI inhibitor oral anticoagulants suggest that these therapies have the potential to further reduce the risk of stroke. Secondary prevention strategies in patients with atrial fibrillation who have a stroke despite oral anticoagulation therapy is an unmet medical need. Research advances suggest a heterogeneous spectrum of causes, and ongoing trials are investigating new approaches for secondary prevention in this vulnerable patient group. In patients with atrial fibrillation and a history of intracerebral haemorrhage, the latest data from randomised controlled trials on stroke prevention shows that oral anticoagulation reduces the risk of ischaemic stroke but more data are needed to define the safety profile.
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Affiliation(s)
- David J Seiffge
- Department of Neurology, Inselspital University Hospital Bern and University of Bern, Switzerland.
| | - Virginia Cancelloni
- Stroke Unit, Santa Maria della Misericordia Hospital, University of Perugia, Perugia, Italy
| | - Lorenz Räber
- Department of Cardiology, Inselspital University Hospital Bern and University of Bern, Switzerland
| | - Maurizio Paciaroni
- Stroke Unit, Santa Maria della Misericordia Hospital, University of Perugia, Perugia, Italy
| | - Andreas Metzner
- Department of Cardiology, University Heart and Vascular Center Hamburg, University Center Hamburg Eppendorf, Hamburg, Germany; German Center for Cardiovascular Research, partner site Hamburg, Kiel, and Lübeck, Germany
| | - Paulus Kirchhof
- Department of Cardiology, University Heart and Vascular Center Hamburg, University Center Hamburg Eppendorf, Hamburg, Germany; German Center for Cardiovascular Research, partner site Hamburg, Kiel, and Lübeck, Germany; Institute of Cardiovascular Sciences, University of Birmingham, Birmingham, UK
| | - Urs Fischer
- Department of Neurology, Inselspital University Hospital Bern and University of Bern, Switzerland; Department of Neurology, University Hospital Basel, Switzerland
| | - David J Werring
- Stroke Research Centre, UCL Queen Square Institute of Neurology, London, UK
| | - Ashkan Shoamanesh
- Division of Neurology, Department of Medicine, Population Health Research Institute, McMaster University, Hamilton, ON, Canada
| | - Valeria Caso
- Stroke Unit, Santa Maria della Misericordia Hospital, University of Perugia, Perugia, Italy
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24
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Lee EJ, Kim DJ, Kang DW, Yang W, Jeong HY, Kim JM, Ko SB, Lee SH, Yoon BW, Cho JY, Jung KH. Targeted Metabolomic Biomarkers for Stroke Subtyping. Transl Stroke Res 2024; 15:422-432. [PMID: 36764997 DOI: 10.1007/s12975-023-01137-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 01/11/2023] [Accepted: 02/03/2023] [Indexed: 02/12/2023]
Abstract
BACKGROUND AND PURPOSE Ischemic stroke is a heterogeneous disease with various etiologies. The current subtyping process is complicated, time-consuming, and costly. Metabolite-based biomarkers have the potential to improve classification and deliver optimal treatments. We here aimed to identify novel, targeted metabolomics-based biomarkers to discriminate between large-artery atherosclerosis (LAA) and cardioembolic (CE) stroke. METHODS We acquired serum samples and clinical data from a hospital-based acute stroke registry (ischemic stroke within 3 days from symptom onset). We included 346 participants (169 LAA, 147 CE, and 30 healthy older adults) and divided them into training and test sets. Targeted metabolomic analysis was performed using quantitative and quality-controlled liquid chromatography with tandem mass spectrometry. A multivariate regression model using metabolomic signatures was created that could independently distinguish between LAA and CE strokes. RESULTS The training set (n = 193) identified metabolomic signatures that were different in patients with LAA and CE strokes. Six metabolomic biomarkers, i.e., lysine, serine, threonine, kynurenine, putrescine, and lysophosphatidylcholine acyl C16:0, could discriminate between LAA and CE stroke after adjusting for sex, age, body mass index, stroke severity, and comorbidities. The enhanced diagnostic power of key metabolite combinations for discriminating between LAA and CE stroke was validated using the test set (n = 123). CONCLUSIONS We observed significant differences in metabolite profiles in LAA and CE strokes. Targeted metabolomics may provide enhanced diagnostic yield for stroke subtypes. The pathophysiological pathways of the identified metabolites should be explored in future studies.
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Affiliation(s)
- Eung-Joon Lee
- Department of Neurology, Seoul National University College of Medicine and Hospital, Seoul, Republic of Korea
| | - Da Jung Kim
- Department of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine and Hospital, Seoul, Republic of Korea
- Metabolomics Core Facility, Department of Transdisciplinary Research and Collaboration, Biomedical Research Institute, Seoul National University Hospital, Seoul, Republic of Korea
| | - Dong-Wan Kang
- Department of Neurology, Seoul National University College of Medicine and Hospital, Seoul, Republic of Korea
| | - Wookjin Yang
- Department of Neurology, Seoul National University College of Medicine and Hospital, Seoul, Republic of Korea
| | - Han-Yeong Jeong
- Department of Neurology, Seoul National University College of Medicine and Hospital, Seoul, Republic of Korea
| | - Jeong-Min Kim
- Department of Neurology, Seoul National University College of Medicine and Hospital, Seoul, Republic of Korea
| | - Sang-Bae Ko
- Department of Neurology, Seoul National University College of Medicine and Hospital, Seoul, Republic of Korea
| | - Seung-Hoon Lee
- Department of Neurology, Seoul National University College of Medicine and Hospital, Seoul, Republic of Korea
| | - Byung-Woo Yoon
- Department of Neurology, Uijeongbu Eulji Medical Center, Uijeongbu-si, Republic of Korea
| | - Joo-Youn Cho
- Department of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine and Hospital, Seoul, Republic of Korea.
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Republic of Korea.
| | - Keun-Hwa Jung
- Department of Neurology, Seoul National University College of Medicine and Hospital, Seoul, Republic of Korea.
- Program in Neuroscience, Seoul National University College of Medicine, Seoul, Republic of Korea.
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Jiang J, Mi L, Chen K, Hua W, Su Y, Xu W, Zhao S, Zhang S. Association of Device-Detected Atrial High-Rate Episodes With Long-term Cardiovascular and All-Cause Mortality: A Cohort Study. Can J Cardiol 2024; 40:598-607. [PMID: 38092191 DOI: 10.1016/j.cjca.2023.12.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 11/11/2023] [Accepted: 12/07/2023] [Indexed: 03/07/2024] Open
Abstract
BACKGROUND Device-detected atrial high-rate episodes (AHREs) were associated with an increased thromboembolic risk. Although limited data regarding the long-term prognosis of patients with AHRE were controversial, this study aimed to identify the association of device-detected AHRE with mortality. METHODS This observational study included patients with implantable cardioverter defibrillator (ICD) or cardiac resynchronization therapy defibrillator (CRT-D) placement and no history of atrial fibrillation (AF), atrial flutter (AFL), or atrial tachycardia (AT). During follow-up, patients with at least 1 day of AHRE duration ≥ 15 minutes were identified. The primary endpoint was cardiovascular mortality, and the secondary endpoint was all-cause mortality. RESULTS During a mean follow-up period of 4.2 years, AHREs were detected in 124 of 343 (36.2%) patients. Of these, 44 deaths (35.5%) occurred in 124 patients with AHREs, which was significantly higher than those without AHREs (43 of 219; 19.6%; P = 0.001). The multivariate analysis revealed that patients with AHRE had a significantly higher risk of cardiovascular (hazard ratio [HR], 2.40; 95% confidence interval [CI], 1.23-4.67; P = 0.010), and all-cause mortality (HR, 2.31; 95% CI, 1.49-3.59; P < 0.001). Further analysis indicated that this association remained significant in patients with higher burden (≥ 6 hours) but not in patients with lower burden (≥ 15 minutes to 6 hours). Notably, even after excluding the patients diagnosed with clinical AF during follow-up, the remaining patients with AHREs still exhibited a higher risk of cardiovascular and all-cause mortality compared with patients without AHREs. CONCLUSIONS AHREs were prevalent in ICD or CRT-D recipients with no history of clinical AF, AFL, or AT and were associated with more than twice the risk of cardiovascular and all-cause mortality. CLINICAL TRIAL REGISTRATION No. ChiCTR-ONRC-13003695.
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Affiliation(s)
- Jiang Jiang
- State Key Laboratory of Cardiovascular Disease, Arrhythmia Center, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lijie Mi
- State Key Laboratory of Cardiovascular Disease, Arrhythmia Center, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Keping Chen
- State Key Laboratory of Cardiovascular Disease, Arrhythmia Center, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Wei Hua
- State Key Laboratory of Cardiovascular Disease, Arrhythmia Center, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yangang Su
- Cardiology, Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Wei Xu
- Department of Cardiology, Nanjing Drum Tower Hospital, Nanjing, China
| | - Shuang Zhao
- State Key Laboratory of Cardiovascular Disease, Arrhythmia Center, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
| | - Shu Zhang
- State Key Laboratory of Cardiovascular Disease, Arrhythmia Center, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
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Weiss D, Lang H, Rubbert C, Jannusch K, Kaschner M, Ivan VL, Caspers J, Turowski B, Jansen R, Lee JI, Ruck T, Meuth SG, Gliem M. Diagnostic Value of Perfusion Parameters for Differentiation of Underlying Etiology in Internal Carotid Artery Occlusions. Clin Neuroradiol 2024; 34:219-227. [PMID: 37884790 PMCID: PMC10881783 DOI: 10.1007/s00062-023-01349-0] [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: 12/27/2022] [Accepted: 09/08/2023] [Indexed: 10/28/2023]
Abstract
PURPOSE Occlusions of the internal carotid artery (ICA) may be caused by dissection, embolic or macroangiopathic pathogenesis, which partially influences the treatment; however, inferring the underlying etiology in computed tomography angiography can be challenging. In this study, we investigated whether computed tomography perfusion (CT-P) parameters could be used to distinguish between etiologies. METHODS Patients who received CT‑P in acute ischemic stroke due to ICA occlusion between 2012 and 2019 were retrospectively analyzed. Group comparisons between etiologies regarding the ratios of CT‑P parameters between both hemispheres for relative cerebral blood volume (rCBV), relative cerebral blood flow (rCBF), time to maximum (Tmax), and mean transit time (MTT) were calculated by one-factorial analysis of variance (ANOVA) and compared by pairwise Bonferroni post hoc tests. An receiver operating characteristics (ROC) analysis was performed if differences in group comparisons were found. Multinomial logistic regression (MLR) including pretherapeutic parameters was calculated for etiologies. RESULTS In this study 69 patients (age = 70 ± 14 years, dissection = 10, 14.5%, embolic = 19, 27.5% and macroangiopathic = 40, 58.0%) were included. Group differences in ANOVA were only found for MTT ratio (p = 0.003, η2 = 0.164). In the post hoc test, MTT ratio showed a differentiability between embolic and macroangiopathic occlusions (p = 0.002). ROC analysis for differentiating embolic and macroangiopathic ICA occlusions based on MTT ratio showed an AUC of 0.77 (p < 0.001, CI = 0.65-0.89) and a cut-off was yielded at a value of 1.15 for the MTT ratio (sensitivity 73%, specificity 68%). The MLR showed an overall good model performance. CONCLUSION It was possible to differentiate between patients with embolic and macroangiopathic ICA occlusions based on MTT ratios and to define a corresponding cut-off. Differentiation from patients with dissection versus the other etiologies was not possible by CT‑P parameters in our sample.
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Affiliation(s)
- Daniel Weiss
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany.
| | - Henrik Lang
- Department of Neurology, Medical Faculty, University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany
| | - Christian Rubbert
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany
| | - Kai Jannusch
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany
| | - Marius Kaschner
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany
| | - Vivien Lorena Ivan
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany
| | - Julian Caspers
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany
| | - Bernd Turowski
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany
| | - Robin Jansen
- Department of Neurology, Medical Faculty, University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany
| | - John-Ih Lee
- Department of Neurology, Medical Faculty, University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany
| | - Tobias Ruck
- Department of Neurology, Medical Faculty, University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany
| | - Sven Günther Meuth
- Department of Neurology, Medical Faculty, University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany
| | - Michael Gliem
- Department of Neurology, Medical Faculty, University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany
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Teasell R, Flores-Sandoval C, Bateman EA, MacKenzie HM, Sequeira K, Bayley M, Janzen S. Overview of randomized controlled trials of moderate to severe traumatic brain injury: A systematic review. NeuroRehabilitation 2024; 54:509-520. [PMID: 38669488 DOI: 10.3233/nre-240019] [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] [Indexed: 04/28/2024]
Abstract
BACKGROUND Given the complexity of post-TBI medical, surgical, and rehabilitative care, research is critical to optimize interventions across the continuum of care and improve outcomes for persons with moderate to severe TBI. OBJECTIVE To characterize randomized controlled trials (RCTs) of moderate to severe traumatic brain injury (TBI) in the literature. METHOD Systematic searches of MEDLINE, PubMed, Scopus, CINAHL, EMBASE and PsycINFO for RCTs up to December 2022 inclusive were conducted in accordance with PRISMA guidelines. RESULTS 662 RCTs of 91,946 participants published from 1978 to 2022 met inclusion criteria. The number of RCTs published annually has increased steadily. The most reported indicator of TBI severity was the Glasgow Coma Scale (545 RCTs, 82.3%). 432 (65.3%) RCTs focused on medical/surgical interventions while 230 (34.7%) addressed rehabilitation. Medical/surgical RCTs had larger sample sizes compared to rehabilitation RCTs. Rehabilitation RCTs accounted for only one third of moderate to severe TBI RCTs and were primarily conducted in the chronic phase post-injury relying on smaller sample sizes. CONCLUSION Further research in the subacute and chronic phases as well as increasing rehabilitation focused TBI RCTs will be important to optimizing the long-term outcomes and quality of life for persons living with TBI.
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Affiliation(s)
- Robert Teasell
- Parkwood Institute Research, Lawson Research Institute, London, ON, Canada
- Department of Physical Medicine and Rehabilitation, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
- Parkwood Institute, St. Joseph's Health Care London, London, ON, Canada
| | | | - Emma A Bateman
- Parkwood Institute Research, Lawson Research Institute, London, ON, Canada
- Department of Physical Medicine and Rehabilitation, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
- Parkwood Institute, St. Joseph's Health Care London, London, ON, Canada
| | - Heather M MacKenzie
- Parkwood Institute Research, Lawson Research Institute, London, ON, Canada
- Department of Physical Medicine and Rehabilitation, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
- Parkwood Institute, St. Joseph's Health Care London, London, ON, Canada
| | - Keith Sequeira
- Department of Physical Medicine and Rehabilitation, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
- Parkwood Institute, St. Joseph's Health Care London, London, ON, Canada
| | - Mark Bayley
- Division of Physical Medicine and Rehabilitation, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- KITE Research Institute, University Health Network, Toronto, ON, Canada
- University Health Network, Toronto Rehabilitation Institute, Toronto, ON, Canada
| | - Shannon Janzen
- Parkwood Institute Research, Lawson Research Institute, London, ON, Canada
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Ueno Y, Miyamoto N, Hira K, Doijiri R, Yamazaki H, Sonoda K, Koge J, Iwata T, Todo K, Yamagami H, Kimura N, Morimoto M, Kondo D, Okazaki S, Koga M, Nagata E, Hattori N. Left atrial appendage flow velocity predicts occult atrial fibrillation in cryptogenic stroke: a CRYPTON-ICM registry. J Neurol 2023; 270:5878-5888. [PMID: 37612538 DOI: 10.1007/s00415-023-11942-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 08/11/2023] [Accepted: 08/14/2023] [Indexed: 08/25/2023]
Abstract
BACKGROUND An insertable cardiac monitor (ICM) and transesophageal echocardiography (TEE) are useful for investigating potential embolic sources in cryptogenic stroke, of which atrial fibrillation (AF) is a critical risk factor for stroke recurrence. The association of left atrial appendage flow velocity (LAA-FV) on TEE with ICM-detected AF is yet to be elucidated. METHODS CRYPTON-ICM (CRYPTOgenic stroke evaluation in Nippon using ICM) is a multicenter registry of cryptogenic stroke with ICM implantation, and patients whose LAA-FV was evaluated on TEE were enrolled. The primary outcome was the detection of AF (> 2 min) on ICM. Receiver operating characteristic (ROC) curve analysis was performed to determine the optimal cut-off of LAA-FV, and factors associated with ICM-detected AF were assessed. RESULTS A total of 307 patients (age 66.6 ± 12.3 years; 199 males) with median follow-up of 440 (interquartile range 169-726) days were enrolled; AF was detected in 101 patients. The lower-tertile LAA-FV group had older age, more history of congestive heart failure, and higher levels of B-type natriuretic peptide (BNP) or N-terminal proBNP (all P < 0.05). On ROC analysis, LAA-FV < 37.5 cm/s predicted ICM-detected AF with sensitivity of 26.7% and specificity of 92.2%. After adjustment for covariates, the lower tertile of LAA-FV (hazard ratio [HR], 1.753 [1.017-3.021], P = 0.043) and LAA-FV < 37.5 cm/s (HR 1.987 [1.240-3.184], P = 0.004) predicted ICM-detected AF. CONCLUSIONS LAA-FV < 37.5 cm/s predicts AF. TEE is useful not only to evaluate potential embolic sources, but also for long-term detection of AF on ICM by measuring LAA-FV in cryptogenic stroke. http://www.umin.ac.jp/ctr/ (UMIN000044366).
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Affiliation(s)
- Yuji Ueno
- Department of Neurology, Faculty of Medicine, Juntendo University, Tokyo, Japan.
- Department of Neurology, Juntendo University Faculty of Medicine, 2-1-1 Hongo, Bunkyo-Ku, Tokyo, 113-8421, Japan.
| | - Nobukazu Miyamoto
- Department of Neurology, Faculty of Medicine, Juntendo University, Tokyo, Japan
| | - Kenichiro Hira
- Department of Neurology, Faculty of Medicine, Juntendo University, Tokyo, Japan
| | - Ryosuke Doijiri
- Department of Neurology, Iwate Prefectural Central Hospital, Morioka, Japan
| | - Hidekazu Yamazaki
- Department of Neurology, Yokohama Shintoshi Neurosurgical Hospital, Yokohama, Japan
| | - Kazutaka Sonoda
- Department of Neurology, Saiseikai Fukuoka General Hospital, Fukuoka, Japan
| | - Junpei Koge
- Department of Cerebrovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Japan
| | - Tomonori Iwata
- Department of Neurology, Tokai University, Isehara, Japan
| | - Kenichi Todo
- Department of Neurology, Osaka University Graduate School of Medicine, Suita, Japan
| | - Hiroshi Yamagami
- Department of Stroke Neurology, National Hospital Organization Osaka National Hospital, Osaka, Japan
| | - Naoto Kimura
- Department of Neurology, Iwate Prefectural Central Hospital, Morioka, Japan
| | - Masafumi Morimoto
- Department of Neurology, Yokohama Shintoshi Neurosurgical Hospital, Yokohama, Japan
| | - Daisuke Kondo
- Department of Neurology, Saiseikai Fukuoka General Hospital, Fukuoka, Japan
| | - Shuhei Okazaki
- Department of Neurology, Osaka University Graduate School of Medicine, Suita, Japan
| | - Masatoshi Koga
- Department of Cerebrovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Japan
| | | | - Nobutaka Hattori
- Department of Neurology, Faculty of Medicine, Juntendo University, Tokyo, Japan
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Wadström BN, Pedersen KM, Wulff AB, Nordestgaard BG. Elevated remnant cholesterol and atherosclerotic cardiovascular disease in diabetes: a population-based prospective cohort study. Diabetologia 2023; 66:2238-2249. [PMID: 37776347 PMCID: PMC10627991 DOI: 10.1007/s00125-023-06016-0] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Accepted: 08/08/2023] [Indexed: 10/02/2023]
Abstract
AIMS/HYPOTHESIS Elevated remnant cholesterol is observationally and causally associated with increased risk of atherosclerotic cardiovascular disease (ASCVD) in the general population. This association is not well studied in individuals with diabetes, who are often included in clinical trials of remnant cholesterol-lowering therapy. We tested the hypothesis that elevated remnant cholesterol is associated with increased risk of ASCVD in individuals with diabetes. We also explored the fraction of excess risk conferred by diabetes which can be explained by elevated remnant cholesterol. METHODS We included 4569 white Danish individuals with diabetes (58% statin users) nested within the Copenhagen General Population Study (2003-2015). The ASCVDs peripheral artery disease, myocardial infarction and ischaemic stroke were extracted from national Danish health registries without losses to follow-up. Remnant cholesterol was calculated from a standard lipid profile. RESULTS During up to 15 years of follow-up, 236 individuals were diagnosed with peripheral artery disease, 234 with myocardial infarction, 226 with ischaemic stroke and 498 with any ASCVD. Multivariable adjusted HR (95% CI) per doubling of remnant cholesterol was 1.6 (1.1, 2.3; p=0.01) for peripheral artery disease, 1.8 (1.2, 2.5; p=0.002) for myocardial infarction, 1.5 (1.0, 2.1; p=0.04) for ischaemic stroke, and 1.6 (1.2, 2.0; p=0.0003) for any ASCVD. Excess risk conferred by diabetes was 2.5-fold for peripheral artery disease, 1.6-fold for myocardial infarction, 1.4-fold for ischaemic stroke and 1.6-fold for any ASCVD. Excess risk explained by elevated remnant cholesterol and low-grade inflammation was 14% and 8% for peripheral artery disease, 26% and 16% for myocardial infarction, 34% and 34% for ischaemic stroke, and 24% and 18% for any ASCVD, respectively. LDL-cholesterol did not explain excess risk, as it was not higher in individuals with diabetes. We also explored the fraction of excess risk conferred by diabetes which can be explained by elevated remnant cholesterol. CONCLUSIONS/INTERPRETATION Elevated remnant cholesterol was associated with increased risk of ASCVD in individuals with diabetes. Remnant cholesterol and low-grade inflammation explained substantial excess risk of ASCVD conferred by diabetes. Whether remnant cholesterol should be used as a treatment target remains to be determined in randomised controlled trials.
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Affiliation(s)
- Benjamin N Wadström
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- The Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Kasper M Pedersen
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- The Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Anders B Wulff
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- The Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Børge G Nordestgaard
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark.
- The Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark.
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
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30
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Cui C, Li C, Hou M, Wang P, Huang Z. The machine learning methods to analyze the using strategy of antiplatelet drugs in ischaemic stroke patients with gastrointestinal haemorrhage. BMC Neurol 2023; 23:369. [PMID: 37833629 PMCID: PMC10571309 DOI: 10.1186/s12883-023-03422-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Accepted: 10/05/2023] [Indexed: 10/15/2023] Open
Abstract
BACKGROUND For ischaemic stroke patients with gastrointestinal haemorrhage, stopping antiplatelet drugs or reducing the dose of antiplatelet drugs was a conventional clinical therapy method. But not a study to prove which way was better. And the machinery learning methods could help to obtain which way more suit for some patients. METHODS Data from consecutive ischaemic stroke patients with gastrointestinal haemorrhage were prospectively collected. The outcome was a recurrent stroke rate, haemorrhage events, mortality and favourable functional outcome (FFO). We analysed the data using conventional logistic regression methods and a supervised machine learning model. We used unsupervised machine learning to group and analyse data characters. RESULTS The patients of stopping antiplatelet drugs had a lower rate of bleeding events (p = 0.125), mortality (p = 0.008), rate of recurrence of stroke (p = 0.161) and distribution of severe patients (mRS 3-6) (p = 0.056). For Logistic regression, stopping antiplatelet drugs (OR = 2.826, p = 0.030) was related to lower mortality. The stopping antiplatelet drugs in the supervised machine learning model related to mortality (AUC = 0.95) and FFO (AUC = 0.82). For group by unsupervised machine learning, the patients of better prognosis had more male (p < 0.001), younger (p < 0.001), had lower NIHSS score (p < 0.001); and had a higher value of serum lipid level (p < 0.001). CONCLUSIONS For ischemic stroke patients with gastrointestinal haemorrhage, stopping antiplatelet drugs had a better prognosis. Patients who were younger, male, with lesser NIHSS scores at admission, with the fewest history of a medical, higher value of diastolic blood pressure, platelet, blood lipid and lower INR could have a better prognosis.
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Affiliation(s)
- Chaohua Cui
- Department of Rehabilitation, Affiliated Hospital of Youjiang Medical University for Nationalities, zhongshaner road, youjiang District, Baise City, Guangxi Province, China.
| | - Changhong Li
- Affiliated Liutie Central Hospital of Guangxi Medical University, Liunan Distract, Liuzhou, Guangxi, China
| | - Min Hou
- Affiliated Liutie Central Hospital of Guangxi Medical University, Liunan Distract, Liuzhou, Guangxi, China
| | - Ping Wang
- Affiliated Primary School Liugong Middle School, Liunan Distract, Liuzhou, Guangxi, China
| | - Zhonghua Huang
- Affiliated Liutie Central Hospital of Guangxi Medical University, Liunan Distract, Liuzhou, Guangxi, China
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Jiang J, Sun X, Cheng C, Chen K, Hua W, Su Y, Xu W, Chen R, Zhang S. Progression of Device-Detected Atrial High-Rate Episodes and the Risk of All-Cause Mortality. Am J Cardiol 2023; 204:96-103. [PMID: 37541154 DOI: 10.1016/j.amjcard.2023.07.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 06/27/2023] [Accepted: 07/06/2023] [Indexed: 08/06/2023]
Abstract
Atrial high-rate episodes (AHREs) are prevalent in approximately 1/3 of patients with cardiac implanted electronic devices and are associated with an increased risk of several adverse outcomes. This study aimed to explore the factors associated with AHRE progression and the risk of all-cause mortality. At least 1 day with AHRE burden ≥15 minutes was identified in 124 of 343 recipients (36.2%) of an implantable cardioverter defibrillator or cardiac resynchronization therapy device. We included patients whose AHRE burden at the time of first detection was ≥15 minutes but <24 hours (n = 107). Various cut-off values (15 minutes, 6 hours, and 24 hours) of daily AHRE burden were analyzed. During an average follow-up of 4.2 years, 60 patients (56.1%) experienced ≥1 progression to greater AHRE burden. Patients with hypertension or greater AHRE burden at first detection were associated with faster progression. In addition, 27 deaths (45%) occurred among 60 patients with AHRE progression, compared with 25.5% (12 of 47) for those without progression. After multivariable adjustment, AHRE progression was independently associated with all-cause mortality (hazard ratio 2.56, 95% confidence interval 1.23 to 5.35, p = 0.012). Notably, AHRE progression within 1 month after their first detection was associated with an increased risk for all-cause mortality (hazard ratio 4.01, 95% confidence interval 1.76 to 9.16, p = 0.001) compared with patients without progression. However, a similar risk was not observed among patients with AHRE progression occurring after 1 month after their first detection. In conclusion, >1/2 of the patients with AHRE progressed to a greater burden over time. Continuous monitoring of the AHRE burden may help identify patients at great risk for death.
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Affiliation(s)
- Jiang Jiang
- State Key Laboratory of Cardiovascular Disease, Arrhythmia Center, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xuerong Sun
- Heart Center and Beijing Key Laboratory of Hypertension, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Chendi Cheng
- State Key Laboratory of Cardiovascular Disease, Arrhythmia Center, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Keping Chen
- State Key Laboratory of Cardiovascular Disease, Arrhythmia Center, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Wei Hua
- State Key Laboratory of Cardiovascular Disease, Arrhythmia Center, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yangang Su
- Cardiology, Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Wei Xu
- Department of Cardiology, Nanjing Drum Tower Hospital, Nanjing, China
| | - Ruohan Chen
- State Key Laboratory of Cardiovascular Disease, Arrhythmia Center, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
| | - Shu Zhang
- State Key Laboratory of Cardiovascular Disease, Arrhythmia Center, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
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Liu M, Wu D, Wang Y. Accuracy of contrast-enhanced ultrasound in diagnosing extracranial carotid occlusion: A meta-analysis. Vascular 2023; 31:884-891. [PMID: 35451893 DOI: 10.1177/17085381221091370] [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] [Indexed: 11/16/2022]
Abstract
AIM This study aimed to assess the accuracy of contrast-enhanced ultrasound (CEUS) in detecting extracranial carotid artery occlusion. MATERIALS AND METHODS A systematic literature search was conducted in the Cochrane, PubMed, and EMBASE databases. Prospective or retrospective studies that reported sensitivity and specificity of CEUS for the diagnosis of carotid artery occlusion were selected. Eight studies (354 arteries) were included in the meta-analysis. A bivariate random-effect model was used to estimate overall sensitivity and specificity. The results were also summarized by developing a summary receiver operating characteristic (SROC) curve. RESULTS The overall sensitivity, specificity, positive, and negative likelihood ratios were 0.99 (95% CI: 0.83-1.00), 0.97 (95% CI: 0.90-0.99), 30.0 (95% CI: 9.8-91.4), and 0.01 (95% CI: 0.00-0.21), respectively; the odds ratio for diagnosis was 4,796 (95% CI: 119-192,584). CONCLUSION The diagnostic test accuracy suggests that CEUS is a reliable tool for diagnosis of extracranial carotid artery occlusion.
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Affiliation(s)
- Meihan Liu
- Department of Ultrasound, China-Japan Union Hospital of Jilin University, Changchun, China
| | - Dong Wu
- Department of Radiology, The First Bethune Hospital of Jilin University, Changchun, China
| | - Yanting Wang
- Department of Ultrasound, China-Japan Union Hospital of Jilin University, Changchun, China
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Apple SJ, Flomenbaum D, Parker M, Chhikara S, Stolarov A, Moser J, Mathai SV, Seo J, Ferrick N, Chudow JJ, Di Biase L, Krumerman A, Ferrick KJ. Low Utility of Short-Term Rhythm Assessment Before Long-Term Rhythm Monitoring in Patients With Cryptogenic Stroke. Am J Cardiol 2023; 202:151-159. [PMID: 37437356 DOI: 10.1016/j.amjcard.2023.06.040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 06/01/2023] [Accepted: 06/11/2023] [Indexed: 07/14/2023]
Abstract
Implantable cardiac monitors are routinely placed for long-term monitoring (LTM) after a period of negative short-term monitoring (STM) to increase atrial fibrillation (AF) detection after a cryptogenic stroke or transient ischemic attack (TIA). Optimizing AF monitoring after a cryptogenic stroke is critical to improve outcomes and reduce costs. We sought to compare the diagnostic yield of STM versus LTM, assess the impact of routine STM on hospitalization length of stay, and perform a financial analysis comparing the current model to a theoretical model wherein patients can proceed directly to LTM. Our retrospective observational cohort study analyzed patients admitted to Montefiore Medical Center between May 2017 and June 2022 with a primary diagnosis of cryptogenic stroke or TIA who underwent Holter device monitoring. Of 396 subjects, STM detected AF in 10 (2.5%) compared with a diagnostic yield of 14.6% for LTM (median time to diagnosis of 76 days). Of the 386 patients with negative STM, 130 (33.7%) received an implantable cardiac monitor while an inpatient, and 256 (66.3%) did not. We calculated a point estimate of 1.67 days delay of discharge attributable to the requirement for STM to precede LTM. Our model showed that the expected cost per patient in the STM-first paradigm is $28,615.33 versus $27,111.24 in the LTM-or-STM paradigm. Considering the relatively lower diagnostic yield of STM and its association with a longer length of stay and higher costs, it may be reasonable to proceed directly to LTM to optimize AF detection after a cryptogenic stroke or TIA.
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Affiliation(s)
- Samuel J Apple
- Department of Medicine, New York City Health and Hospitals/Jacobi Medical Center, Albert Einstein College of Medicine, Bronx, New York.
| | - David Flomenbaum
- Department of Medicine, Montefiore Medical Center, Bronx, New York
| | - Matthew Parker
- Department of Medicine, New York City Health and Hospitals/Jacobi Medical Center, Albert Einstein College of Medicine, Bronx, New York
| | - Sanya Chhikara
- Department of Medicine, New York City Health and Hospitals/Jacobi Medical Center, Albert Einstein College of Medicine, Bronx, New York
| | - Aaron Stolarov
- Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, New York
| | - Jack Moser
- Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, New York
| | - Sheetal Vasundara Mathai
- Department of Medicine, New York City Health and Hospitals/Jacobi Medical Center, Albert Einstein College of Medicine, Bronx, New York
| | - Jiyoung Seo
- Department of Medicine, New York City Health and Hospitals/Jacobi Medical Center, Albert Einstein College of Medicine, Bronx, New York
| | - Neal Ferrick
- Montefiore-Einstein Center for Heart and Vascular Care, Montefiore Medical Center, Bronx, New York
| | - Jay J Chudow
- Montefiore-Einstein Center for Heart and Vascular Care, Montefiore Medical Center, Bronx, New York
| | - Luigi Di Biase
- Montefiore-Einstein Center for Heart and Vascular Care, Montefiore Medical Center, Bronx, New York
| | - Andrew Krumerman
- Montefiore-Einstein Center for Heart and Vascular Care, Montefiore Medical Center, Bronx, New York
| | - Kevin J Ferrick
- Montefiore-Einstein Center for Heart and Vascular Care, Montefiore Medical Center, Bronx, New York
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Hernandez I, Divino V, Xie L, Hood DW, DeKoven M, Kariuki W, Bell G, Russ C, Cheng D, Cato M, Atreja N, Hines DM. A Real-World Evaluation of Primary Medication Nonadherence in Patients with Nonvalvular Atrial Fibrillation Prescribed Oral Anticoagulants in the United States. Am J Cardiovasc Drugs 2023; 23:559-572. [PMID: 37301789 DOI: 10.1007/s40256-023-00588-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/07/2023] [Indexed: 06/12/2023]
Abstract
BACKGROUND Nonadherence to oral anticoagulants (OACs) is a challenge to stroke risk reduction in patients with nonvalvular atrial fibrillation (NVAF). Data on primary medication nonadherence (PMN) in NVAF are lacking. OBJECTIVES Our aim was to assess the rates and predictors of PMN among NVAF patients who were newly prescribed an OAC. METHODS This was a retrospective database analysis of linked healthcare claims and electronic health record data. Adult NVAF patients with a prescription order for an OAC (apixaban, rivaroxaban, dabigatran, or warfarin) between January 2016 and June 2019 were identified (date of first prescription order = index date). Patients had a 1-year baseline and a 6-month post-index period to assess the rates of PMN, defined as having a prescription order but no paid claim for any OAC on or within 30 days after the index date. Sensitivity analyses explored 60-, 90- and 180-day PMN thresholds. Logistic regression models were used to examine the predictors of PMN. RESULTS Among 20,393 patients, the overall 30-day PMN rate was 28.4%; PMN rates decreased to 17% with a 180-day threshold. PMN was numerically lowest for warfarin among OACs and numerically lowest for apixaban among direct OACs. A CHA2DS2-VASc score of ≥ 3, commercial insurance, and African American race were associated with higher odds of PMN. CONCLUSIONS More than one-quarter of patients experienced PMN within 30 days of their initial prescription order. This rate decreased over a longer period, suggesting a delay in fills. Understanding the factors associated with PMN is warranted to develop effective interventions for improving OAC treatment rates in NVAF.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Dong Cheng
- Bristol Myers Squibb, Lawrenceville, NJ, USA
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Liu EA, Murali S, Rivera-de Choudens R, Trobe JD. Demographics, Risk Factors, and Etiology of Posterior Cerebral Artery Stroke Causing Homonymous Hemianopia. J Neuroophthalmol 2023; 43:387-392. [PMID: 37436886 DOI: 10.1097/wno.0000000000001948] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/14/2023]
Abstract
BACKGROUND Posterior cerebral artery (PCA) strokes account for up to 10% of all ischemic strokes, often presenting with homonymous hemianopia. The proportion of these strokes attributed to various etiologies varies widely in previously published studies, owing largely to differing patient populations, definitions of stroke pathogenesis, and vascular territories involved. The Causative Classification System (CCS), an automated version of the Stop Stroke Study (SSS) Trial of Org 10,172 in Acute Stroke Treatment (TOAST) system, allows for a more rigorous assignment of stroke etiology. METHODS We excerpted clinical and imaging data on 85 patients who had PCA stroke with homonymous hemianopia examined at the University of Michigan. We compared the stroke risk factor profile of our PCA cohort with that of 135 patients with stroke in the distribution of the internal carotid artery (ICA) and middle cerebral artery (MCA) in an unpublished University of Michigan registry. We applied the CCS web-based calculator to our PCA cohort to determine stroke etiology. RESULTS In our PCA cohort, 80.0% had at least 2 conventional stroke risk factors and 30.6% had 4 risk factors, most commonly systemic hypertension. The risk factor profile of our PCA cohort resembled that of our ICA/MCA cohort except that the mean age of our PCA cohort was more than a decade younger and had a significantly lower frequency of atrial fibrillation (AF) than our ICA/MCA cohort. In nearly half of the patients with AF in our PCA cohort, AF was diagnosed after the stroke. Among stroke etiologies in our PCA cohort, 40.0% were of undetermined cause, 30.6% were from cardioaortic embolism, 17.6% were from other determined causes, and only 11.8% were from supra-aortic large artery atherosclerosis. Strokes after endovascular or surgical interventions were prominent among other determined causes. CONCLUSIONS Most patients in our PCA cohort had multiple conventional stroke risk factors, a finding not previously documented. Mean age at stroke onset and AF frequency were lower than in our ICA/MCA cohort, in agreement with previous studies. As some other studies have found, nearly 1/3 of strokes were attributed to cardioaortic embolism. Within that group, AF was often a poststroke diagnosis, a finding not previously highlighted. Compared with earlier studies, a relatively high portion of strokes were of undetermined etiology and of other determined etiologies, including stroke after endovascular or surgical interventions. Supra-aortic large artery atherosclerosis was a relatively uncommon explanation for stroke.
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Affiliation(s)
- Elaine A Liu
- Medical Scientist Training Program (EAL), University of Michigan School of Medicine, Ann Arbor, Michigan; and Departments of Neurology (SM, JDT), Radiology (RR-dC), and Ophthalmology and Visual Sciences (JDT), University of Michigan, Ann Arbor, Michigan
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36
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Cui C, Li Y, Liu S, Wang P, Huang Z. The unsupervised machine learning to analyze the use strategy of statins for ischaemic stroke patients with elevated transaminase. Clin Neurol Neurosurg 2023; 232:107900. [PMID: 37478641 DOI: 10.1016/j.clineuro.2023.107900] [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: 02/27/2023] [Revised: 07/02/2023] [Accepted: 07/15/2023] [Indexed: 07/23/2023]
Abstract
BACKGROUND AND PURPOSE Statins could elevate hepatic transaminase in ischemic stroke patients. There needed to be more evidence on which method stopped statins or adjusting the dose of statins was better for patients. And no evidence showed which way more suit for some patients. METHODS We collected ischaemic stroke patients with elevated hepatic transaminase when they take statins. The outcome was a recurrent stroke rate, transaminase value after stopping or adjusted, mortality, and favorable functional outcome (FFO). We compare outcome events between the stopped group and the adjustment group. We grouped all patients by unsupervised machine learning and analyzed data characters by the different groups. RESULTS The patients stopping statins had a higher stroke recurrence and rate of FFO (mRS 0-2), a lower mean value of transaminase, and mortality. By difference unsupervised machine learning group, the km2 group had the lowest stroke recurrence (p = 0.046), lowest mortality (p = 0.049), and highest FFO (p = 0.023). The patients of the km2 group were younger (p < 0.001), more male (p < 0.001), had lesser National Institutes of Health Stroke Scale (NIHSS) scores (p < 0.001), and had slightly higher values of blood pressure (p = 0.002). The group of unsupervised machine learning could improve models' performance. CONCLUSION For ischemic patients with elevated hepatic transaminase, stopping statins temporarily was a better choice of treatment strategy. These patients who were younger, male, with a lesser NIHSS score at admission and a slightly higher blood lipid value at admission, could have had a better prognosis.
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Affiliation(s)
- Chaohua Cui
- Affiliated Hospital of Youjiang Medical University for Nationalities, Youjiang District, Baise, Guangxi, China.
| | - Yuchuan Li
- Affiliated Liutie Central Hospital of Guangxi Medical University, Liunan District, Liuzhou, Guangxi, China
| | - Shaohui Liu
- Affiliated Liutie Central Hospital of Guangxi Medical University, Liunan District, Liuzhou, Guangxi, China
| | - Ping Wang
- Affiliated Primary School Liugong Middle School, Liunan District, Liuzhou, Guangxi, China
| | - Zhonghua Huang
- Affiliated Liutie Central Hospital of Guangxi Medical University, Liunan District, Liuzhou, Guangxi, China
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37
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van de Vegte YJ, Eppinga RN, van der Ende MY, Hagemeijer YP, Mahendran Y, Salfati E, Smith AV, Tan VY, Arking DE, Ntalla I, Appel EV, Schurmann C, Brody JA, Rueedi R, Polasek O, Sveinbjornsson G, Lecoeur C, Ladenvall C, Zhao JH, Isaacs A, Wang L, Luan J, Hwang SJ, Mononen N, Auro K, Jackson AU, Bielak LF, Zeng L, Shah N, Nethander M, Campbell A, Rankinen T, Pechlivanis S, Qi L, Zhao W, Rizzi F, Tanaka T, Robino A, Cocca M, Lange L, Müller-Nurasyid M, Roselli C, Zhang W, Kleber ME, Guo X, Lin HJ, Pavani F, Galesloot TE, Noordam R, Milaneschi Y, Schraut KE, den Hoed M, Degenhardt F, Trompet S, van den Berg ME, Pistis G, Tham YC, Weiss S, Sim XS, Li HL, van der Most PJ, Nolte IM, Lyytikäinen LP, Said MA, Witte DR, Iribarren C, Launer L, Ring SM, de Vries PS, Sever P, Linneberg A, Bottinger EP, Padmanabhan S, Psaty BM, Sotoodehnia N, Kolcic I, Arnar DO, Gudbjartsson DF, Holm H, Balkau B, Silva CT, Newton-Cheh CH, Nikus K, Salo P, Mohlke KL, Peyser PA, Schunkert H, Lorentzon M, Lahti J, Rao DC, Cornelis MC, Faul JD, Smith JA, Stolarz-Skrzypek K, Bandinelli S, Concas MP, Sinagra G, Meitinger T, Waldenberger M, Sinner MF, et alvan de Vegte YJ, Eppinga RN, van der Ende MY, Hagemeijer YP, Mahendran Y, Salfati E, Smith AV, Tan VY, Arking DE, Ntalla I, Appel EV, Schurmann C, Brody JA, Rueedi R, Polasek O, Sveinbjornsson G, Lecoeur C, Ladenvall C, Zhao JH, Isaacs A, Wang L, Luan J, Hwang SJ, Mononen N, Auro K, Jackson AU, Bielak LF, Zeng L, Shah N, Nethander M, Campbell A, Rankinen T, Pechlivanis S, Qi L, Zhao W, Rizzi F, Tanaka T, Robino A, Cocca M, Lange L, Müller-Nurasyid M, Roselli C, Zhang W, Kleber ME, Guo X, Lin HJ, Pavani F, Galesloot TE, Noordam R, Milaneschi Y, Schraut KE, den Hoed M, Degenhardt F, Trompet S, van den Berg ME, Pistis G, Tham YC, Weiss S, Sim XS, Li HL, van der Most PJ, Nolte IM, Lyytikäinen LP, Said MA, Witte DR, Iribarren C, Launer L, Ring SM, de Vries PS, Sever P, Linneberg A, Bottinger EP, Padmanabhan S, Psaty BM, Sotoodehnia N, Kolcic I, Arnar DO, Gudbjartsson DF, Holm H, Balkau B, Silva CT, Newton-Cheh CH, Nikus K, Salo P, Mohlke KL, Peyser PA, Schunkert H, Lorentzon M, Lahti J, Rao DC, Cornelis MC, Faul JD, Smith JA, Stolarz-Skrzypek K, Bandinelli S, Concas MP, Sinagra G, Meitinger T, Waldenberger M, Sinner MF, Strauch K, Delgado GE, Taylor KD, Yao J, Foco L, Melander O, de Graaf J, de Mutsert R, de Geus EJC, Johansson Å, Joshi PK, Lind L, Franke A, Macfarlane PW, Tarasov KV, Tan N, Felix SB, Tai ES, Quek DQ, Snieder H, Ormel J, Ingelsson M, Lindgren C, Morris AP, Raitakari OT, Hansen T, Assimes T, Gudnason V, Timpson NJ, Morrison AC, Munroe PB, Strachan DP, Grarup N, Loos RJF, Heckbert SR, Vollenweider P, Hayward C, Stefansson K, Froguel P, Groop L, Wareham NJ, van Duijn CM, Feitosa MF, O'Donnell CJ, Kähönen M, Perola M, Boehnke M, Kardia SLR, Erdmann J, Palmer CNA, Ohlsson C, Porteous DJ, Eriksson JG, Bouchard C, Moebus S, Kraft P, Weir DR, Cusi D, Ferrucci L, Ulivi S, Girotto G, Correa A, Kääb S, Peters A, Chambers JC, Kooner JS, März W, Rotter JI, Hicks AA, Smith JG, Kiemeney LALM, Mook-Kanamori DO, Penninx BWJH, Gyllensten U, Wilson JF, Burgess S, Sundström J, Lieb W, Jukema JW, Eijgelsheim M, Lakatta ELM, Cheng CY, Dörr M, Wong TY, Sabanayagam C, Oldehinkel AJ, Riese H, Lehtimäki T, Verweij N, van der Harst P. Genetic insights into resting heart rate and its role in cardiovascular disease. Nat Commun 2023; 14:4646. [PMID: 37532724 PMCID: PMC10397318 DOI: 10.1038/s41467-023-39521-2] [Show More Authors] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Accepted: 06/16/2023] [Indexed: 08/04/2023] Open
Abstract
Resting heart rate is associated with cardiovascular diseases and mortality in observational and Mendelian randomization studies. The aims of this study are to extend the number of resting heart rate associated genetic variants and to obtain further insights in resting heart rate biology and its clinical consequences. A genome-wide meta-analysis of 100 studies in up to 835,465 individuals reveals 493 independent genetic variants in 352 loci, including 68 genetic variants outside previously identified resting heart rate associated loci. We prioritize 670 genes and in silico annotations point to their enrichment in cardiomyocytes and provide insights in their ECG signature. Two-sample Mendelian randomization analyses indicate that higher genetically predicted resting heart rate increases risk of dilated cardiomyopathy, but decreases risk of developing atrial fibrillation, ischemic stroke, and cardio-embolic stroke. We do not find evidence for a linear or non-linear genetic association between resting heart rate and all-cause mortality in contrast to our previous Mendelian randomization study. Systematic alteration of key differences between the current and previous Mendelian randomization study indicates that the most likely cause of the discrepancy between these studies arises from false positive findings in previous one-sample MR analyses caused by weak-instrument bias at lower P-value thresholds. The results extend our understanding of resting heart rate biology and give additional insights in its role in cardiovascular disease development.
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Affiliation(s)
- Yordi J van de Vegte
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, 9700RB, the Netherlands
| | - Ruben N Eppinga
- Department of Cardiology, Isala Zwolle ziekenhuis, Zwolle, 8025 AB, the Netherlands
| | - M Yldau van der Ende
- Department of Cardiology, University medical Center Utrecht, Utrecht, 3584 Cx, the Netherlands
| | - Yanick P Hagemeijer
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, 9700RB, the Netherlands
- Analytical Biochemistry, University of Groningen, Groningen, 9713 AV, the Netherlands
| | - Yuvaraj Mahendran
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medicine Science, University of Copenhagen, Copenhagen Ø, 2100, Denmark
| | - Elias Salfati
- Department of Medicine, Stanford University School of Medicine, Stanford, 94305, USA
- Faculty of Medicine, University of Iceland, Reykjavik, 101, Iceland
| | - Albert V Smith
- Department of Biostatistics, University of Michigan, Ann Arbor, MI48109, USA
| | - Vanessa Y Tan
- Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, BS82BN, UK
- MRC Integrative Epidemiology, University of Bristol, Bristol, BS82BN, UK
| | - Dan E Arking
- McKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, 21215, USA
| | - Ioanna Ntalla
- Clinical Pharmacology and Precision Medicine, William Harvey Research Institute, Barts and The London Faculty of Medicine and Dentistry, Queen Mary University of London, London, EC1M 6BQ, UK
| | - Emil V Appel
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medicine Science, University of Copenhagen, Copenhagen Ø, 2100, Denmark
| | - Claudia Schurmann
- The Charles Bronfman Institute for Personalized Medicine, The Icahn School of Medicine at Mount Sinai, New York, 10029, USA
| | | | - Rico Rueedi
- Department of Computational Biology, University of Lausanne, Lausanne, 1015, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, 1015, Switzerland
| | - Ozren Polasek
- Department of Public Health, University of Split School of Medicine, Split, 21000, Croatia
- Algebra LAB, Algebra University College, Zagreb, 10000, Croatia
| | | | - Cecile Lecoeur
- UMR 8199, University of Lille Nord de France, Lille, 59000, France
| | - Claes Ladenvall
- Clinial Genomics Uppsala, Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, 75185, Sweden
- Lund University Diabetes Center, Department of Clinical Sciences, Lund University, Malmö, 20502, Sweden
| | - Jing Hua Zhao
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, Victor Phillip Dahdaleh Heart & Lung Research Institute, University of Cambridge, Cambridge, CB2 0BB, UK
| | - Aaron Isaacs
- CARIM School for Cardiovascular Diseases, Maastricht Centre for Systems Biology (MaCSBio), Department of Physiology, Maastricht University, Maastricht, 6229ER, Netherlands
| | - Lihua Wang
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, 63108-2212, Campus Box 8506, USA
| | - Jian'an Luan
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, CB2 0QQ, UK
| | - Shih-Jen Hwang
- Division of Intramural Research, National Heart Lung and Blood Institute, NIH, USA, Framingham, 1702, USA
| | - Nina Mononen
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, FI-33014, Finland
- Department of Clinical Chemistry, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, FI-33014, Finland
| | - Kirsi Auro
- Department of Health, unit of genetics and biomarkers, , National Institute for Health and Welfare, Finland, Helsinki, FI-00290, Finland
- Department of molecular medicine, University of Helsinki, Helsinki, FI-00290, Finland
| | - Anne U Jackson
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Lawrence F Bielak
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Linyao Zeng
- Department of Cardiology, Deutsches Herzzentrum München, Technische Universität München, Munich, 80636, Germany
| | - Nabi Shah
- Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, DD1 9SY, UK
- Pharmacogenetics Research Lab, Department of Pharmacy, COMSATS University Islamabad, Abbottabad, 22060, Pakistan
| | - Maria Nethander
- Sahlgrenska Osteoporosis Centre, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, 41345, Sweden
- Bioinformatics Core Facility, Sahlgrenska Academy, University of Gothenburg, Gothenburg, 40530, Sweden
| | - Archie Campbell
- Centre for Genomic and Experimental Medicine, Institute of Genetics & Cancer, University of Edinburgh, Edinburgh, EH4 2XU, UK
- Usher Institute for Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh, EH16 4UX, UK
| | - Tuomo Rankinen
- Human Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA, 70808, USA
| | - Sonali Pechlivanis
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital of Essen, University Duisburg-Essen, Essen, 45122, Germany
| | - Lu Qi
- Department of Epidemiology, Tulane University, New Orleans, LA, 70112, USA
| | - Wei Zhao
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, 48109, USA
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, 48104, USA
| | - Federica Rizzi
- Unit of Biomedicine, Bio4Dreams-Business Nursery for Life Sciences, Milano, 20121, Italy
| | - Toshiko Tanaka
- Longitudinal Study Section, National Institute on Aging, Baltimore, 21224, USA
| | - Antonietta Robino
- Institute for Maternal and Child Health - IRCCS "Burlo Garofolo", Trieste, 34137, Italy
| | - Massimiliano Cocca
- Institute for Maternal and Child Health - IRCCS "Burlo Garofolo", Trieste, 34137, Italy
| | - Leslie Lange
- Medicine, University of Colorado Anschutz Medical Campus, Aurora, 80045, USA
| | - Martina Müller-Nurasyid
- IBE, Ludwig-Maximilians-University Munich, LMU Munich, Munich, 81377, Germany
- Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center, Johannes Gutenberg University, Mainz, 55101, Germany
- Institute of Genetic Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, 85764, Germany
| | - Carolina Roselli
- Institute of Genetic Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, 85764, Germany
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, 02142, USA
| | - Weihua Zhang
- Department of Epidemiology and Biostatistics, Imperial College London, London, W2 1PG, UK
- Department of Cardiology, Ealing Hospital, London North West University Healthcare NHS Trust, Middlesex, UB1 3HW, UK
| | - Marcus E Kleber
- Vth Department of Medicine (Nephrology, Hypertensiology, Rheumatology, Endocrinology, Diabetology), Medical Faculty Mannheim, University of Heidelberg, Mannheim, 68167, Germany
- SYNLAB MVZ Humangenetik Mannheim, Mannheim, 68163, Germany
| | - Xiuqing Guo
- Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA, Torrance, 90502, USA
- Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, 90502, USA
| | - Henry J Lin
- Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA, Torrance, 90502, USA
- Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, 90502, USA
| | - Francesca Pavani
- Institute for Biomedicine, Eurac Research, Bolzano, 39100, Italy
| | | | - Raymond Noordam
- Department of Internal Medicine, section Gerontology and Geriatrics, Leiden University Medical Center, Leiden, 2300 RC, the Netherlands
| | - Yuri Milaneschi
- Department of Psychiatry, Amsterdam Public Health, Amsterdam UMC, Amsterdam UMC, Vrije Universiteit, Amsterdam, Amsterdam, 1081 HL, the Netherlands
| | - Katharina E Schraut
- Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, EH16 4TJ, Scotland, UK
| | - Marcel den Hoed
- The Beijer laboratory and Department of Immunology, Genetics and Pathology, Uppsala University and Science for Life Laboratory, Uppsala, 75237, Sweden
| | - Frauke Degenhardt
- Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, 24105, Germany
| | - Stella Trompet
- Department of Internal Medicine, section Gerontology and Geriatrics, Leiden University Medical Center, Leiden, 2300 RC, the Netherlands
- Department of Cardiology, Leiden University Medical Center, Leiden, ZA, 2333, the Netherlands
| | - Marten E van den Berg
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, 3015GD, the Netherlands
| | - Giorgio Pistis
- Institute of Genetics and Biomedic Research (IRGB), Italian National Research Council (CNR), Monserrato, (CA), 9042, Italy
- Center for Statistical Genetics, University of Michigan, Ann Arbor, 48109, USA
| | - Yih-Chung Tham
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, 169856, Singapore
| | - Stefan Weiss
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, 17475, Germany
- DZHK (German Center for Cardiovascular Research), Partner Site Greifswald, Greifswald, 17475, Germany
| | - Xueling S Sim
- Saw Swee Hock School of Public Health, National University Health System and National University of Singapore, Singapore, 117549, Singapore
| | - Hengtong L Li
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, 169856, Singapore
| | - Peter J van der Most
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, 9700 RB, The Netherlands
| | - Ilja M Nolte
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, 9700 RB, The Netherlands
| | - Leo-Pekka Lyytikäinen
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, FI-33014, Finland
- Department of Clinical Chemistry, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, FI-33014, Finland
- Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, CB2 0SL, UK
| | - M Abdullah Said
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, 9700RB, the Netherlands
| | - Daniel R Witte
- Department of Public Health, Aarhus University, Aarhus C, 8000, Denmark
| | - Carlos Iribarren
- Division of Research, Kaiser Permenente of Northern California, Oakland, 94612, USA
- The Scripps Research Institute, La Jolla, 10550, USA
| | | | - Susan M Ring
- Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, BS82BN, UK
- MRC Integrative Epidemiology, University of Bristol, Bristol, BS82BN, UK
| | - Paul S de Vries
- Department of Epidemiology, Human Genetics, and Environmental Sciences, University of Texas Health Science Center at Houston, School of Public Health, Houston, 77030, USA
| | - Peter Sever
- National Heart and Lung Institute, Imperial College London, London, W12 0NN, UK
| | - Allan Linneberg
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, Copenhagen, 2400, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, 2200, Denmark
| | - Erwin P Bottinger
- The Charles Bronfman Institute for Personalized Medicine, The Icahn School of Medicine at Mount Sinai, New York, 10029, USA
- Department of Preventive Medicine, The Icahn School of Medicine at Mount Sinai, New York, 10029, USA
| | - Sandosh Padmanabhan
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, G12 8TA, UK
| | - Bruce M Psaty
- Departments of Medicine, Epidemiology and Health Systems and Population Health, University of Washington, Seattle, 98195, USA
| | - Nona Sotoodehnia
- Medicine and Epidemiology, University of Washington, Seattle, 98195, USA
| | - Ivana Kolcic
- Department of Public Health, University of Split School of Medicine, Split, 21000, Croatia
- Algebra LAB, Algebra University College, Zagreb, 10000, Croatia
| | - David O Arnar
- deCODE genetics / Amgen Inc., Reykjavik, 102, Iceland
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, 101, Iceland
- Department of Medicine, Landspitali-The National University Hospital of Iceland, Reykjavik, 101, Iceland
| | - Daniel F Gudbjartsson
- deCODE genetics / Amgen Inc., Reykjavik, 102, Iceland
- School of Engineering and Natural Sciences, University of Iceland, Reykjavik, 101, Iceland
| | - Hilma Holm
- deCODE genetics / Amgen Inc., Reykjavik, 102, Iceland
| | - Beverley Balkau
- Centre for Research in Epidemiology and Population Health, Institut national de la santé et de la recherche médicale, Villejuif, 94800, France
- UMRS 1018, University Versailles Saint-Quentin-en-Yvelines, Versailles, 78035, France
- UMRS 1018, University Paris Sud, Villejuif, 94807, France
| | - Claudia T Silva
- Genetic Epidemiology Unit, Dept. of Epidemiology, Erasmus University Medical Center, Rotterdam, 3000CA, Netherlands
| | | | - Kjell Nikus
- Department of Cardiology, Heart Center, Tampere University Hospital, Tampere, FI-33521, Finland
- Department of Cardiology, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, FI-33014, Finland
| | - Perttu Salo
- Department of Health, unit of genetics and biomarkers, , National Institute for Health and Welfare, Finland, Helsinki, FI-00290, Finland
- Department of molecular medicine, University of Helsinki, Helsinki, FI-00290, Finland
| | - Karen L Mohlke
- Department of Genetics, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Patricia A Peyser
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Heribert Schunkert
- Department of Cardiology, Deutsches Herzzentrum München, Technische Universität München, Munich, 80636, Germany
- Deutsches Zentrum für Herz- und Kreislauferkrankungen (DZHK), Partner Site Munich Heart Alliance, Munich, 80636, Germany
| | - Mattias Lorentzon
- Sahlgrenska Osteoporosis Centre, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, 41345, Sweden
- Region Västra Götaland, Geriatric Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Mölndal, 43180, Sweden
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, 3000, Australia
| | - Jari Lahti
- Department of Psychology and Logopedics, University of Helsinki, Helsinki, 00014, Finland
| | - Dabeeru C Rao
- Division of Biostatistics, Washington University, St. Louis, MO, 63110, USA
| | | | - Jessica D Faul
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, 48104, USA
| | - Jennifer A Smith
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, 48109, USA
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, 48104, USA
| | - Katarzyna Stolarz-Skrzypek
- Department of Cardiology, Interventional Electrocardiology and Hypertension, Jagiellonian University Medical College, Kraków, 31-008, Poland
| | - Stefania Bandinelli
- Geriatric Unit, Unità sanitaria locale Toscana Centro, Florence, 50142, Italy
| | - Maria Pina Concas
- Institute for Maternal and Child Health - IRCCS "Burlo Garofolo", Trieste, 34137, Italy
| | - Gianfranco Sinagra
- Cardiovascular Department, "Ospedali Riuniti and University of Trieste", Trieste, 34149, Italy
| | - Thomas Meitinger
- Institute of Human Genetics, Klinikum rechts der Isar, Technische Universität München, München, 81675, Germany
- Institute of Human Genetics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, 85764, Germany
| | - Melanie Waldenberger
- Research Unit Molecular Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, 85764, Germany
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, 85764, Germany
- German Centre for Cardiovascular Research (DZHK), partner site: Munich Heart Alliance, Munich, 80802, Germany
| | - Moritz F Sinner
- German Centre for Cardiovascular Research (DZHK), partner site: Munich Heart Alliance, Munich, 80802, Germany
- Department of Cardiology, University Hospital, LMU Munich, Munich, 81377, Germany
| | - Konstantin Strauch
- Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center, Johannes Gutenberg University, Mainz, 55101, Germany
- Institute of Genetic Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, 85764, Germany
- Chair of Genetic Epidemiology, IBE, Faculty of Medicine, LMU Munich, Munich, 81377, Germany
| | - Graciela E Delgado
- Vth Department of Medicine (Nephrology, Hypertensiology, Rheumatology, Endocrinology, Diabetology), Medical Faculty Mannheim, University of Heidelberg, Mannheim, 68167, Germany
| | - Kent D Taylor
- Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA, Torrance, 90502, USA
- Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, 90502, USA
| | - Jie Yao
- Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA, Torrance, 90502, USA
- Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, 90502, USA
| | - Luisa Foco
- Institute for Biomedicine, Eurac Research, Bolzano, 39100, Italy
| | - Olle Melander
- Department of Internal Medicine, Clinical Sciences, Lund University and Skåne University Hospital, Malmo, 221 85, Sweden
- Lund University Diabetes Center, Lund University, Malmö, 221 85, Sweden
| | | | - Renée de Mutsert
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, 2300 RC, the Netherlands
| | - Eco J C de Geus
- Biological Psychology, EMGO+ Institute for Health and Care Research and Neuroscience Campus Amsterdam, VU University, Amsterdam, 1081 BT, the Netherlands
| | - Åsa Johansson
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, 75108, Sweden
| | - Peter K Joshi
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, EH8 9AG, Scotland, UK
| | - Lars Lind
- Department of Medical Sciences, Cardiovascular Epidemiology, Uppsala University Hospital, Uppsala, 75237, Sweden
| | - Andre Franke
- Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, 24105, Germany
| | - Peter W Macfarlane
- Institute of Health and Wellbeing, Faculty of Medicine, University of Glasgow, Glasgow, G12 0XH, UK
| | - Kirill V Tarasov
- Laboratory of Cardiovascular Sciences, Intramural Research Program, National Institute on Aging, National Institutes of Health, Baltimore, MD, 21224, USA
| | - Nicholas Tan
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, 169856, Singapore
| | - Stephan B Felix
- DZHK (German Center for Cardiovascular Research), Partner Site Greifswald, Greifswald, 17475, Germany
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald, 17475, Germany
| | - E-Shyong Tai
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, 169856, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119228, Singapore
| | - Debra Q Quek
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, 169856, Singapore
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, 9700 RB, The Netherlands
| | - Johan Ormel
- Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, 9700 RB, The Netherlands
| | - Martin Ingelsson
- Department of Public Health and Caring Sciences, Molecular Geriatrics, Uppsala University, Uppsala, 75237, Sweden
| | - Cecilia Lindgren
- Genetic and Genomic Epidemiology Unit, Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK
| | - Andrew P Morris
- Genetic and Genomic Epidemiology Unit, Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK
| | - Olli T Raitakari
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, FI-20521, Finland
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, FI-20521, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, FI-20521, Finland
| | - Torben Hansen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medicine Science, University of Copenhagen, Copenhagen Ø, 2100, Denmark
| | - Themistocles Assimes
- Department of Medicine, Stanford University School of Medicine, Stanford, 94305, USA
| | - Vilmundur Gudnason
- Faculty of Medicine, University of Iceland, Reykjavik, 101, Iceland
- Icelandic Heart Association, Kopavogur, 201, Iceland
| | - Nicholas J Timpson
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, BS8 2BN, UK
- Population Health Sciences, Bristol Medical School,, University of Bristol, Bristol, BS8 2BN, UK
| | - Alanna C Morrison
- Department of Epidemiology, Human Genetics, and Environmental Sciences, University of Texas Health Science Center at Houston, School of Public Health, Houston, 77030, USA
| | - Patricia B Munroe
- Clinical Pharmacology and Precision Medicine, William Harvey Research Institute, Barts and The London Faculty of Medicine and Dentistry, Queen Mary University of London, London, EC1M 6BQ, UK
- NIHR Barts Biomedical Research Centre, Barts and The London Faculty of Medicine and Dentistry, Queen Mary University of London, London, EC1M 6BQ, UK
| | - David P Strachan
- Population Health Research Institute, St George's, University of London, London, SW17 0RE, UK
| | - Niels Grarup
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medicine Science, University of Copenhagen, Copenhagen Ø, 2100, Denmark
| | - Ruth J F Loos
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medicine Science, University of Copenhagen, Copenhagen Ø, 2100, Denmark
- The Charles Bronfman Institute for Personalized Medicine, The Icahn School of Medicine at Mount Sinai, New York, 10029, USA
- The Mindich Child Health and Development Institute, The Icahn School of Medicine at Mount Sinai, New York, 10029, USA
| | - Susan R Heckbert
- Department of Epidemiology, University of Washington, Seattle, 98195, USA
| | - Peter Vollenweider
- Department of Medicine, Internal Medicine, Lausanne University hospital, Lausanne, 1015, Switzerland
| | - Caroline Hayward
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, Scotland, UK
| | - Kari Stefansson
- deCODE genetics / Amgen Inc., Reykjavik, 102, Iceland
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, 101, Iceland
| | - Philippe Froguel
- Department of Metabolism, Imperial College London, London, W12 0HS, UK
- Inserm/CNRS UMR 1283/8199, Pasteur Institute of Lille, Lille University Hospital, EGID, Lille, 59000, France
- University of Lille, Lille, 59000, France
| | - Leif Groop
- Lund University Diabetes Center, Department of Clinical Sciences, Lund University, Malmö, 20502, Sweden
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, 00290, Finland
| | - Nicholas J Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, CB2 0QQ, UK
| | - Cornelia M van Duijn
- Genetic Epidemiology Unit, Dept. of Epidemiology, Erasmus University Medical Center, Rotterdam, 3000CA, Netherlands
| | - Mary F Feitosa
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, 63108-2212, Campus Box 8506, USA
| | - Christopher J O'Donnell
- Cardiology Section, VA Boston Healthcare System, Harvard Medical School, Boston, MA, 02132, USA
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital, Tampere, FI-33521, Finland
- Department of Clinical Physiology, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, FI-33521, Finland
| | - Markus Perola
- Department of Health, unit of genetics and biomarkers, , National Institute for Health and Welfare, Finland, Helsinki, FI-00290, Finland
- Department of molecular medicine, University of Helsinki, Helsinki, FI-00290, Finland
| | - Michael Boehnke
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Sharon L R Kardia
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Jeanette Erdmann
- Institute for Cardiogenetics, University of Lübeck, Lübeck, 23562, Germany
| | - Colin N A Palmer
- Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, DD1 9SY, UK
| | - Claes Ohlsson
- Sahlgrenska Osteoporosis Centre, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, 41345, Sweden
- Department of Drug Treatment, Sahlgrenska University Hospital, Gothenburg, 41345, Sweden
| | - David J Porteous
- Centre for Genomic and Experimental Medicine, Institute of Genetics & Molecular Medicine, University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - Johan G Eriksson
- Department of General practice and primary care, University of Helsinki, Helsinki, 00014, Finland
- Department of Obstetrics and Gynecology, National University of Singapore, Singapore, 119228, Singapore
- Public health Research Program, Folkhalsan Research Center, Helsinki, 000250, Finland
| | - Claude Bouchard
- Human Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA, 70808, USA
| | - Susanne Moebus
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital of Essen, University Duisburg-Essen, Essen, 45122, Germany
- Centre for Urban Epidemiology, University Hospital of Essen, University Duisburg-Essen, Essen, 45122, Germany
| | - Peter Kraft
- Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, 02112, USA
| | - David R Weir
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, 48104, USA
| | - Daniele Cusi
- Unit of Biomedicine, Bio4Dreams-Business Nursery for Life Sciences, Milano, 20121, Italy
- Institute of Biomedical Technologies, National Research Council of Italy, Segrate, (MI), 20090, Italy
| | - Luigi Ferrucci
- Longitudinal Study Section, National Institute on Aging, Baltimore, 21224, USA
| | - Sheila Ulivi
- Institute for Maternal and Child Health - IRCCS "Burlo Garofolo", Trieste, 34137, Italy
| | - Giorgia Girotto
- Institute for Maternal and Child Health - IRCCS "Burlo Garofolo", Trieste, 34137, Italy
- Department of Medicine, Surgery and Health Sciences, University of Trieste, Trieste, 34149, Italy
| | - Adolfo Correa
- Jackson Heart Study, University of Mississippi Medical Center, Jackson, 39216, USA
| | - Stefan Kääb
- German Centre for Cardiovascular Research (DZHK), partner site: Munich Heart Alliance, Munich, 80802, Germany
- Department of Cardiology, University Hospital, LMU Munich, Munich, 81377, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, 85764, Germany
- German Centre for Cardiovascular Research (DZHK), partner site: Munich Heart Alliance, Munich, 80802, Germany
- Chair of Epidemiology, Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig-Maximilians-Universität München, Munich, 81377, Germany
| | - John C Chambers
- Department of Epidemiology and Biostatistics, Imperial College London, London, W2 1PG, UK
- Department of Cardiology, Ealing Hospital, London North West University Healthcare NHS Trust, Middlesex, UB1 3HW, UK
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, 308232, Singapore
| | - Jaspal S Kooner
- Department of Cardiology, Ealing Hospital, London North West University Healthcare NHS Trust, Middlesex, UB1 3HW, UK
- National Heart and Lung Institute, Imperial College London, London, W12 0NN, UK
- Imperial College Healthcare NHS Trust, Imperial College London, London, W12 0HS, UK
| | - Winfried März
- Vth Department of Medicine (Nephrology, Hypertensiology, Rheumatology, Endocrinology, Diabetology), Medical Faculty Mannheim, University of Heidelberg, Mannheim, 68167, Germany
- Synlab Academy, Synlab Holding Deutschland GmbH, Mannheim, 68161, Germany
| | - Jerome I Rotter
- Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA, Torrance, 90502, USA
- Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, 90502, USA
| | - Andrew A Hicks
- Institute for Biomedicine, Eurac Research, Bolzano, 39100, Italy
| | - J Gustav Smith
- Department of Cardiology, Clinical Sciences, Lund University and Skåne University Hospital, Lund, 221 85, Sweden
- Wallenberg Center for Molecular Medicine and Lund University Diabetes Center, Lund University, Lund, 221 84, Sweden
- The Wallenberg Laboratory/Department of Molecular and Clinical Medicine, Institute of Medicine, Gothenburg University and the Department of Cardiology, Sahlgrenska University Hospital, Gothenburg, 413 45, Sweden
| | | | - Dennis O Mook-Kanamori
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, 2300 RC, the Netherlands
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, 2300 RC, the Netherlands
| | - Brenda W J H Penninx
- Department of Psychiatry, Amsterdam Public Health, Amsterdam UMC, Amsterdam UMC, Vrije Universiteit, Amsterdam, Amsterdam, 1081 HL, the Netherlands
| | - Ulf Gyllensten
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, 75108, Sweden
| | - James F Wilson
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, EH8 9AG, Scotland, UK
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, Scotland, UK
| | - Stephen Burgess
- MRC Biostatistics Unit, University of Cambridge, Cambridge, CB2 0SR, UK
| | - Johan Sundström
- Department of Medical Sciences, Cardiovascular Epidemiology, Uppsala University Hospital, Uppsala, 75237, Sweden
| | - Wolfgang Lieb
- Institute of Epidemiology and Biobank PopGen, Kiel University, Kiel, 24105, Germany
| | - J Wouter Jukema
- Department of Cardiology, Leiden University Medical Center, Leiden, ZA, 2333, the Netherlands
- Einthoven Laboratory for Experimental Vascular Medicine, Leiden University Medical Center, Leiden, ZA, 2333, the Netherlands
- Netherlands Heart Institute, Utrecht, 3511 EP, the Netherlands
| | - Mark Eijgelsheim
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, 3015GD, the Netherlands
- Department of Nephrology, University Medical Center Groningen, Groningen, 9700RB, the Netherlands
| | - Edward L M Lakatta
- Laboratory of Cardiovascular Sciences, Intramural Research Program, National Institute on Aging, National Institutes of Health, Baltimore, MD, 21224, USA
| | - Ching-Yu Cheng
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, 169856, Singapore
- Ophthalmology & Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, 169857, Singapore
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119228, Singapore
| | - Marcus Dörr
- DZHK (German Center for Cardiovascular Research), Partner Site Greifswald, Greifswald, 17475, Germany
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald, 17475, Germany
| | - Tien-Yin Wong
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, 169856, Singapore
- Ophthalmology & Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, 169857, Singapore
- Tsinghua Medicine, Tsinghua University, Beijing, 100084, China
| | - Charumathi Sabanayagam
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, 169856, Singapore
- Ophthalmology & Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, 169857, Singapore
| | - Albertine J Oldehinkel
- Interdisciplinary Center Psychopathology and Emotion Regulation, University of Groningen, University Medical Center Groningen, Groningen, 9700 RB, The Netherlands
| | - Harriette Riese
- Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, 9700 RB, The Netherlands
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, FI-33014, Finland
- Department of Clinical Chemistry, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, FI-33014, Finland
| | - Niek Verweij
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, 9700RB, the Netherlands
| | - Pim van der Harst
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, 9700RB, the Netherlands.
- Department of Cardiology, University medical Center Utrecht, Utrecht, 3584 Cx, the Netherlands.
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, 9700RB, the Netherlands.
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Alkutbi A, Binmahfooz S, AlSaidlani RH, Albeirouti RB, Kamal O, Alalawi H, Aljehani MN, Khared M, Ayoub OA. Clinical Characteristics of Ischemic Stroke Patients <50 Years Old at a University Hospital: A Retrospective Descriptive Study. Cureus 2023; 15:e43752. [PMID: 37746368 PMCID: PMC10511827 DOI: 10.7759/cureus.43752] [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] [Accepted: 08/19/2023] [Indexed: 09/26/2023] Open
Abstract
Background Stroke is a leading cause of mortality and disability around the world. It is responsible for 10% of all fatalities and about 5% of all disabilities. Risk factors include age, hypertension (HTN), dyslipidemia, and atrial fibrillation. The incidence of acute ischemic stroke (AIS) is increasing among young adults compared to older ones. It has a direct impact on their quality of life and working activities while also burdening the healthcare system. Aim The aim of this study is to investigate the possible risk factors for ischemic stroke in patients who are under 50 years old. Methods This is a single-center retrospective record review of patients with ischemic stroke from 2010 to 2022. Eighty patients who had an ischemic stroke at an age below 50 were included in the analysis. Patients above or equal to 50 years old who had ischemic stroke and all patients with hemorrhagic stroke were excluded. Baseline characteristics, length of hospitalization, and in-hospital mortality were compared with different comorbidities. Results The mean age was 36.65 among males and females who had an ischemic stroke. 56.8% of them were non-Saudi, while 43.2% were Saudis. Diabetes, hypertension, and dyslipidemia were among the most frequent comorbidities among patients who had ischemic stroke, with a percentage of 82.7%. Other comorbidities, such as autoimmune disease, thrombophilia, and heart failure, were present. Conclusion There are different comorbidities found in patients who have had an ischemic stroke and are under 50 years old. However, diabetes and hypertension remain the most common risk factors.
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Affiliation(s)
- Abdullah Alkutbi
- Department of Internal Medicine, King Abdulaziz University Faculty of Medicine, Jeddah, SAU
- Department of Internal Medicine, King Abdulaziz University Hospital, Jeddah, SAU
| | - Saleh Binmahfooz
- Department of Internal Medicine, King Abdulaziz University Hospital, Jeddah, SAU
- Department of Internal Medicine, King Abdulaziz University Faculty of Medicine, Jeddah, SAU
| | - Rawan H AlSaidlani
- Deparmtent of Internal Medicine, King Abdulaziz University Faculty of Medicine, Jeddah, SAU
| | - Rasana B Albeirouti
- Department of Internal Medicine, King Abdulaziz University Faculty of Medicine, Jeddah, SAU
| | - Omar Kamal
- Department of Internal Medicine, King Abdulaziz University Faculty of Medicine, Jeddah, SAU
| | - Hassan Alalawi
- Department of Internal Medicine, King Abdulaziz University Faculty of Medicine, Jeddah, SAU
| | - Mohammed N Aljehani
- Department of Internal Medicine, King Abdulaziz University Faculty of Medicine, Jeddah, SAU
| | - Mohsin Khared
- Department of Internal Medicine, King Abdulaziz University Faculty of Medicine, Jeddah, SAU
| | - Omar A Ayoub
- Department of Internal Medicine, King Abdulaziz University Faculty of Medicine, Jeddah, SAU
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39
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Liu J, Zhou X, Lin H, Lu X, Zheng J, Xu E, Jiang D, Zhang H, Yang X, Zhong J, Hu X, Huang Y, Zhang Y, Liang J, Liu Q, Zhong M, Chen Y, Yan H, Deng H, Zheng R, Ni D, Ren J. Deep learning based on carotid transverse B-mode scan videos for the diagnosis of carotid plaque: a prospective multicenter study. Eur Radiol 2023; 33:3478-3487. [PMID: 36512047 DOI: 10.1007/s00330-022-09324-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 09/23/2022] [Accepted: 11/28/2022] [Indexed: 12/15/2022]
Abstract
OBJECTIVES Accurate detection of carotid plaque using ultrasound (US) is essential for preventing stroke. However, the diagnostic performance of junior radiologists (with approximately 1 year of experience in carotid US evaluation) is relatively poor. We thus aim to develop a deep learning (DL) model based on US videos to improve junior radiologists' performance in plaque detection. METHODS This multicenter prospective study was conducted at five hospitals. CaroNet-Dynamic automatically detected carotid plaque from carotid transverse US videos allowing clinical detection. Model performance was evaluated using expert annotations (with more than 10 years of experience in carotid US evaluation) as the ground truth. Model robustness was investigated on different plaque characteristics and US scanning systems. Furthermore, its clinical applicability was evaluated by comparing the junior radiologists' diagnoses with and without DL-model assistance. RESULTS A total of 1647 videos from 825 patients were evaluated. The DL model yielded high performance with sensitivities of 87.03% and 94.17%, specificities of 82.07% and 74.04%, and areas under the receiver operating characteristic curve of 0.845 and 0.841 on the internal and multicenter external test sets, respectively. Moreover, no significant difference in performance was noted among different plaque characteristics and scanning systems. Using the DL model, the performance of the junior radiologists improved significantly, especially in terms of sensitivity (largest increase from 46.3 to 94.44%). CONCLUSIONS The DL model based on US videos corresponding to real examinations showed robust performance for plaque detection and significantly improved the diagnostic performance of junior radiologists. KEY POINTS • The deep learning model based on US videos conforming to real examinations showed robust performance for plaque detection. • Computer-aided diagnosis can significantly improve the diagnostic performance of junior radiologists in clinical practice.
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Affiliation(s)
- Jia Liu
- The Third Affiliated Hospital of Sun Yat-sen University, 600 Tianhe Road, Tianhe District, Guangzhou, 510630, China
| | - Xinrui Zhou
- School of Biomedical Engineering, Health Science Center, Shenzhen University, 1066 Xueyuan Avenue, Shenzhen, 518073, China
| | - Hui Lin
- The Third Affiliated Hospital of Sun Yat-sen University, 600 Tianhe Road, Tianhe District, Guangzhou, 510630, China
| | - Xue Lu
- The Third Affiliated Hospital of Sun Yat-sen University, 600 Tianhe Road, Tianhe District, Guangzhou, 510630, China
| | - Jian Zheng
- Longgang District People's Hospital, Shenzhen, China
- The Third People's Hospital of Longgang District, Shenzhen, China
| | - Erjiao Xu
- The Eighth Affiliated Hospital of Sun Yat-sen University, Shenzhen, China
| | - Dianhu Jiang
- The Second People's Hospital of Foshan, Foshan, China
| | - Hui Zhang
- The Third Affiliated Hospital of Sun Yat-sen University, 600 Tianhe Road, Tianhe District, Guangzhou, 510630, China
| | - Xin Yang
- School of Biomedical Engineering, Health Science Center, Shenzhen University, 1066 Xueyuan Avenue, Shenzhen, 518073, China
| | - Junlin Zhong
- The Third Affiliated Hospital of Sun Yat-sen University, 600 Tianhe Road, Tianhe District, Guangzhou, 510630, China
| | - Xindi Hu
- Shenzhen RayShape Medical Technology Co. Ltd., Shenzhen, China
| | - Yuhao Huang
- School of Biomedical Engineering, Health Science Center, Shenzhen University, 1066 Xueyuan Avenue, Shenzhen, 518073, China
| | - Yanling Zhang
- The Third Affiliated Hospital of Sun Yat-sen University, 600 Tianhe Road, Tianhe District, Guangzhou, 510630, China
| | - Jiamin Liang
- School of Biomedical Engineering, Health Science Center, Shenzhen University, 1066 Xueyuan Avenue, Shenzhen, 518073, China
| | - Qin Liu
- School of Biomedical Engineering, Health Science Center, Shenzhen University, 1066 Xueyuan Avenue, Shenzhen, 518073, China
| | - Min Zhong
- Longgang District People's Hospital, Shenzhen, China
| | - Yuansen Chen
- The Third People's Hospital of Longgang District, Shenzhen, China
| | - Huixiang Yan
- The Eighth Affiliated Hospital of Sun Yat-sen University, Shenzhen, China
| | - Haowen Deng
- The Second People's Hospital of Foshan, Foshan, China
| | - Rongqin Zheng
- The Third Affiliated Hospital of Sun Yat-sen University, 600 Tianhe Road, Tianhe District, Guangzhou, 510630, China
| | - Dong Ni
- School of Biomedical Engineering, Health Science Center, Shenzhen University, 1066 Xueyuan Avenue, Shenzhen, 518073, China.
| | - Jie Ren
- The Third Affiliated Hospital of Sun Yat-sen University, 600 Tianhe Road, Tianhe District, Guangzhou, 510630, China.
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Sharrief A. Diagnosis and Management of Cerebral Small Vessel Disease. Continuum (Minneap Minn) 2023; 29:501-518. [PMID: 37039407 DOI: 10.1212/con.0000000000001232] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/12/2023]
Abstract
OBJECTIVE Cerebral small vessel disease (CSVD) is a common neurologic condition that contributes to considerable mortality and disability because of its impact on ischemic and hemorrhagic stroke risk and dementia. While attributes of the disease have been recognized for over two centuries, gaps in knowledge remain related to its prevention and management. The purpose of this review is to provide an overview of the current state of knowledge for CSVD. LATEST DEVELOPMENTS CSVD can be recognized by well-defined radiographic criteria, but the pathogenic mechanism behind the disease is unclear. Hypertension control remains the best-known strategy for stroke prevention in patients with CSVD, and recent guidelines provide a long-term blood pressure target of less than 130/80 mm Hg for patients with ischemic and hemorrhagic stroke, including those with stroke related to CSVD. Cerebral amyloid angiopathy is the second leading cause of intracerebral hemorrhage and may be increasingly recognized because of newer, more sensitive imaging modalities. Transient focal neurologic episodes is a relatively new term used to describe "amyloid spells." Guidance on distinguishing these events from seizures and transient ischemic attacks has been published. ESSENTIAL POINTS CSVD is prevalent and will likely be encountered by all neurologists in clinical practice. It is important for neurologists to be able to recognize CSVD, both radiographically and clinically, and to counsel patients on the prevention of disease progression. Blood pressure control is especially relevant, and strategies are needed to improve blood pressure control for primary and secondary stroke prevention in patients with CSVD.
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Affiliation(s)
- Anjail Sharrief
- Associate Professor of Neurology, Department of Neurology, McGovern Medical School, University of Texas Health Sciences Center, Houston, Texas
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Muscari A, Evangelisti E, Faccioli L, Forti P, Ghinelli M, Puddu GM, Spinardi L, Barbara G. Probability of Cardioembolic vs. Atherothrombotic Pathogenesis of Cryptogenic Strokes in Older Patients. Am J Cardiol 2023; 192:51-59. [PMID: 36736013 DOI: 10.1016/j.amjcard.2022.12.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Revised: 11/12/2022] [Accepted: 12/26/2022] [Indexed: 02/04/2023]
Abstract
Some clinical, laboratory, ECG, and echocardiographic parameters could provide useful indications to assess the probability of cardioembolism or atherothrombosis in cryptogenic strokes. We retrospectively examined 290 patients with ischemic stroke aged ≥60 years, divided into 3 groups: strokes originating from large artery atherothrombosis (n = 92), cardioembolic strokes caused by paroxysmal atrial fibrillation (n = 88) and cryptogenic strokes (n = 110). In addition to echocardiographic and routine clinical-laboratory variables, neutrophil:lymphocyte ratio, red blood cell distribution width, mean platelet volume, P wave and PR interval duration and biphasic inferior P waves, both on admission and after 7 to 10 days, were also considered. By multiple logistic regression, cardioembolic strokes were compared with large artery atherothrombosis strokes, and beta coefficients were rounded to produce a scoring system. Late PR interval ≥188 ms, left atrium ≥4 cm, left ventricular end-diastolic volume <65 ml, and posterior circulation syndrome were associated with paroxysmal atrial fibrillation (positive scores). In contrast, male gender, hypercholesterolemia, and initial platelet count ≥290 × 109/L were associated with atherothrombosis of large arteries (negative scores). The algebraic sum of these scores produced values indicative of cardioembolism if >0 (positive predictive value 89.1%), or of atherothrombosis, if ≤0 (positive predictive value 72.5%). The area under the receiver operating characteristic curve was 0.85. Among cryptogenic strokes, 41.5% had a score >0 (probable atrial fibrillation) and 58.5% had a score ≤0 (possible atherothrombosis). In conclusion, a scoring system based on electrocardiogram, laboratory, clinical and echocardiographic parameters can provide useful guidance for further investigations and secondary prevention in older patients with cryptogenic stroke.
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Affiliation(s)
- Antonio Muscari
- Stroke Unit; Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy.
| | - Eleonora Evangelisti
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
| | | | - Paola Forti
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
| | - Marco Ghinelli
- Department of Cardiothoracic and Vascular Medicine, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | | | | | - Giovanni Barbara
- Stroke Unit; Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
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Moon S, Yang YS, Kimm H, Jung KJ, Lee JY, Jee SH, Lee S, Kim SY, Nam CM. Do Weight Changes Affect the Association between Smoking Cessation and the Risk of Stroke Subtypes in Korean Males? INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:4712. [PMID: 36981627 PMCID: PMC10048944 DOI: 10.3390/ijerph20064712] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 03/06/2023] [Accepted: 03/06/2023] [Indexed: 06/18/2023]
Abstract
(1) Background: We investigated whether weight changes affect the association between smoking cessation and stroke risk; (2) Methods: Overall, 719,040 males were categorized into eight groups according to smoking status (sustained smokers, non-smokers, long-term quitters (quit > 4 years), and recent quitters (quit < 4 years)) and post-cessation weight change (-5 kg, -5.0 to 0.1 kg, maintainers, 0.1-5.0 kg, and >5.0 kg). The hazard ratios (HR) and 95% confidence intervals (CI) for incident total, ischemic, and hemorrhagic strokes, including subarachnoid and intracerebral hemorrhage, were calculated using Cox proportional hazard models; (3) Results: We detected 38,730 strokes (median follow-up, 25.7 years), including 30,609 ischemic and 9055 hemorrhagic strokes. For recent quitters with a >5.0 kg or 0.1-5.0 kg weight increase, maintainers, or those who lost 0.1-5 kg, the multivariable HR for total stroke was 0.73 (95% CI, 0.67-0.79), 0.78 (95% CI, 0.74-0.82), 0.77 (95% CI, 0.69-0.85), 0.84 (95% CI, 0.77-0.90), and 1.06 (95% CI, 0.92-1.23), respectively, compared with that of sustained smokers; (4) Conclusions: Comparable patterns were obtained for stroke subtypes. Thus, we strongly recommend quitting smoking, as weight gain after quitting smoking does not alter the stroke-related benefits.
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Affiliation(s)
- Seulji Moon
- Department of Medicine, College of Medicine, Yonsei University, Seoul 03722, Republic of Korea
- Department of Epidemiology and Health Promotion, Institute for Health Promotion, Graduate School of Public Health, Yonsei University, Seoul 03722, Republic of Korea
| | - Yeun Soo Yang
- Department of Epidemiology and Health Promotion, Institute for Health Promotion, Graduate School of Public Health, Yonsei University, Seoul 03722, Republic of Korea
- Department of Public Health, Yonsei University, Seoul 03722, Republic of Korea
| | - Heejin Kimm
- Department of Epidemiology and Health Promotion, Institute for Health Promotion, Graduate School of Public Health, Yonsei University, Seoul 03722, Republic of Korea
| | - Keum Ji Jung
- Department of Epidemiology and Health Promotion, Institute for Health Promotion, Graduate School of Public Health, Yonsei University, Seoul 03722, Republic of Korea
| | - Ji Young Lee
- Department of Epidemiology and Health Promotion, Institute for Health Promotion, Graduate School of Public Health, Yonsei University, Seoul 03722, Republic of Korea
| | - Sun Ha Jee
- Department of Epidemiology and Health Promotion, Institute for Health Promotion, Graduate School of Public Health, Yonsei University, Seoul 03722, Republic of Korea
| | - Sunmi Lee
- Health Insurance Policy Research Institute, National Health Insurance Service, Wonju 26464, Republic of Korea
| | - So Young Kim
- Health Insurance Policy Research Institute, National Health Insurance Service, Wonju 26464, Republic of Korea
| | - Chung Mo Nam
- Department of Medicine, College of Medicine, Yonsei University, Seoul 03722, Republic of Korea
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Amalia L. Characteristic of Acute Ischemic Stroke Patients Based on TOAST Classification During COVID-19 Pandemic Era: A Single Centre Study. Int J Gen Med 2023; 16:581-588. [PMID: 36824987 PMCID: PMC9942495 DOI: 10.2147/ijgm.s394017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Accepted: 02/09/2023] [Indexed: 02/19/2023] Open
Abstract
Introduction The categorization system used in the Trial Org 10172 classification in Acute Stroke Treatment (TOAST) provided more insight into the causal process. The aims of this study were to characterize individuals with acute ischemic stroke using the TOAST criteria and to determine risk variables for patients with acute ischemic stroke during the COVID-19 pandemic. Methods A cross-sectional study was done on the medical records of acute ischemic stroke patients at Hasan Sadikin Hospital (RSHS) Bandung, Indonesia, who were hospitalized in the Neurology Department of Hasan Sadikin Hospital from January to December 2021. Eligible patients were divided into 2 groups, with and without COVID-19 infection. Results There were 136 participants with acute ischemic stroke. Thirty-one percent of strokes were caused by atherosclerosis in the large arteries (LAA), followed by small-vessel occlusion (SVO) (25%), cardioembolism (CE) (22.1%), an undetermined cause (21.3%), and an other etiology (1.5%). CE risk factor was atrial fibrillation (p < 0.001), while hypertension, diabetes, and smoking were significant for LAA (p < 0.05). However, in patients with COVID-19 who had an acute ischemic stroke, most of the subtypes were stroke of undetermined etiology (76%), and hypercoagulation was the main risk factor (p < 0.001). Conclusion Patients with and without COVID-19 show varied distributions of stroke subtypes according to the TOAST categorization. Hypercoagulation is a major risk factor for stroke of undetermined etiology in individuals with COVID-19 who suffer from acute ischemic stroke. Increased viral-mediated endothelial inflammation leading to aberrant coagulopathy may explain the correlation between COVID-19 and acute ischemic stroke.
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Affiliation(s)
- Lisda Amalia
- Department of Neurology, Medical Faculty, Universitas Padjadjaran/RSUP Dr. Hasan Sadikin, Bandung, Indonesia,Correspondence: Lisda Amalia, Jl. Eykman 38, Bandung, 40161, Indonesia, Email
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Flomin Y. Determining ischemic stroke subtype: an improved algorithm and its use in a comprehensive stroke unit. UKRAINIAN INTERVENTIONAL NEURORADIOLOGY AND SURGERY 2023. [DOI: 10.26683/2786-4855-2022-3(41)-29-37] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/19/2023]
Abstract
Objective ‒ to implement a inified algorithm for determining an ischemic cerebral stroke (ICS) etiological subtype and evaluate the results of its use in patients who were admitted to a comprehensive stroke unit (CSU).Materials and methods. The study enrolled 689 patients with ICS (43.4 % women, 56.6 % men; median age 68.1 years (59.7–75.5)) who in 2010 to 2018 were admitted to a hospital unit where the structure and processes correspond to the principles of CSU. The participants’ age, gender, National Institutes of Health Stroke Scale (NIHSS) and modified Rankin Scale scores were analyzed. All patients underwent an initial workup that included neuroimaging, vascular imaging, a cardiologist’s exam and a set of laboratory tests, and an advanced evaluation, at his physician discretion. All ICS was assigned to one of the four etiological subtypes: cardioembolic, atherosclerotic, lacunar or other. Results. According to the proposed algorithm, 294 (42.7 %) cases were assigned to cardioembolic subtype, 282 (40.9 %) to atherosclerotic subtype, 52 (7.5 %) to lacunar subtype and 61 (8.9 %) to ischemic cerebral stroke unknown etiology. Differences in the shown frequency of the main etiological ICS subtypes compared to the results of epidemiological studies are due to the greater severity of ICS in our sample: baseline median NIHSS total score was 10 (6–17), and median modified Rankin scale score was 4 (3–5), and, on the other hand, to in-depth assessment using modern diagnostic technologies and a longer length of stay that allowed for the tests to be completed.Conclusions. Thorough evaluation and the use of a unified algorithm based on causal etiological classifications allow to successfully determine an ICS subtype in the CSU patients with low proportion of ICS of unknown etiology, which is the key to effective secondary prevention.
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Serrano-Castro ML, Garro-Zúñiga M, Simon E, Tamayo A, Siepmann T. Clinical and Imaging Phenotypes and Outcomes in a Costa Rican Cohort of Acute Ischemic Stroke Survivors: A Retrospective Study. J Clin Med 2023; 12:1080. [PMID: 36769728 PMCID: PMC9917829 DOI: 10.3390/jcm12031080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 01/23/2023] [Accepted: 01/24/2023] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND We characterized clinical and imaging phenotypes and their association with clinical outcomes in acute ischemic stroke (AIS) survivors in the understudied region of Costa Rica. METHODS We conducted a retrospective cohort study in AIS patients treated at a tertiary stroke center in Costa Rica from 2011-2015. Participants underwent detailed phenotyping for cardiovascular risk factors and stroke etiology. We assessed the association of ischemic brain lesion features and clinical outcomes using the Oxfordshire Community Stroke Project (OCSP) classification. RESULTS We included 684 AIS survivors (60.2% males, aged 68.1 ± 13.6 years, mean ± SD). While the cardiovascular risk profiles and mortality rates of our patients were similar to populations in European and North American countries, only 20.2% of patients with atrial fibrillation (AF) received anticoagulation. On multivariable analysis, patients with total anterior circulation infarct (TACI) displayed an increased risk of complications (OR: 4.2; 95% CI: 2.2-7.8; p < 0.001), higher mortality (OR: 6.9; 95% CI: 2.9-16.1; p < 0.001) and lower chance of functional independence at discharge (OR: 8.9; 95% CI: 4.1-19; p < 0.001) compared to non-TACI. The comorbidity of bronchopneumonia increased the probability of death by 14.5 times. CONCLUSIONS Our observations in a Costa Rican cohort of AIS survivors might help improve local measures for preventing and managing AIS.
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Affiliation(s)
- María Lorena Serrano-Castro
- Department of Internal Medicine, Hospital Chacón Paut, Caja Costarricense de Seguro Social, San José 10101, Costa Rica
- Division of Health Care Sciences, Dresden International University, 01067 Dresden, Germany
| | - Mónica Garro-Zúñiga
- Department of Neurology, Hospital San Juan de Dios, Caja Costarricense del Seguro Social, San José 94088, Costa Rica
| | - Erik Simon
- Department of Neurology, University Hospital Carl Gustav Carus, Technische Universität Dresden, 01069 Dresden, Germany
| | - Arturo Tamayo
- Division of Health Care Sciences, Dresden International University, 01067 Dresden, Germany
- Winnipeg Regional Health Authority (WRHA), Section of Neurology, Department of Medicine, The Max Rady Faculty of Health Sciences, Brandon Regional Health Centre, University of Manitoba, Winnipeg, MB R3T 2N2, Canada
| | - Timo Siepmann
- Division of Health Care Sciences, Dresden International University, 01067 Dresden, Germany
- Department of Neurology, University Hospital Carl Gustav Carus, Technische Universität Dresden, 01069 Dresden, Germany
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Amiri S, Hassani-Abharian P, Vaseghi S, Kazemi R, Nasehi M. Effect of RehaCom cognitive rehabilitation software on working memory and processing speed in chronic ischemic stroke patients. Assist Technol 2023; 35:41-47. [PMID: 34033513 DOI: 10.1080/10400435.2021.1934608] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022] Open
Abstract
Stroke survivors need assistance to overcome cognitive impairments. Working memory (WM) and processing speed (PS) as two critical cognitive functions are disrupted by stroke. The goal of this study was to investigate the effect of RehaCom rehabilitation software on WM and PS in participants with chronic ischemic stroke with hemiplegia (right/left side). Participants were selected among stroke patients who were referred to our special rehabilitation clinic. Fifty participants were assigned to control (n = 25) and experimental (n = 25) groups. The results of the experimental group were compared with the control group before and after the treatment with RehaCom (ten 45-min sessions across five weeks, two sessions per week). The results showed a significant improvement in WM and PS in the experimental group in comparison with the control group after a 5-week training with RehaCom. In conclusion, our findings indicate that treatment with RehaCom software improves WM and PS in chronic ischemic stroke participants with hemiplegia. The exact mechanism of RehaCom is largely unknown and further studies are needed, but its effects on the function of brain regions involved in modulating cognitive functions such as the prefrontal cortex, cingulate cortex, and parietal cortex may be mechanisms of interest.
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Affiliation(s)
- Sanaz Amiri
- Department of Psychology, Faculty of Medicine, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
| | - Peyman Hassani-Abharian
- Department of Cognitive Neuroscience, Institute for Cognitive Science Studies (ICSS), Tehran, Iran
| | - Salar Vaseghi
- Department of Cognitive Neuroscience, Institute for Cognitive Science Studies (ICSS), Tehran, Iran
- Cognitive and Neuroscience Research Center (CNRC), Amir-Almomenin Hospital, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
| | - Rouzbeh Kazemi
- TABASOM Rehabilitation Center for Stroke Patients, Tehran, Iran
| | - Mohammad Nasehi
- Cognitive and Neuroscience Research Center (CNRC), Amir-Almomenin Hospital, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
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de Araújo ALV, Santos RD, Bittencourt MS, Dantas RN, Oshiro CA, Nomura CH, Bor-Seng-Shu E, Oliveira MDL, Leite CDC, Martin MDGM, Alves MM, Silva GS, Silva VM, Conforto AB. Ischemic stroke caused by large-artery atherosclerosis: a red flag for subclinical coronary artery disease. Front Neurol 2023; 14:1082275. [PMID: 37122290 PMCID: PMC10130387 DOI: 10.3389/fneur.2023.1082275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Accepted: 02/24/2023] [Indexed: 05/02/2023] Open
Abstract
Background The coronary calcium score (CAC) measured on chest computerized tomography is a risk marker of cardiac events and mortality. We compared CAC scores in two multiethnic groups without symptomatic coronary artery disease: subjects in the chronic phase after stroke or transient ischemic attack and at least one symptomatic stenosis ≥50% in the carotid or vertebrobasilar territories (Groupathero) and a control group (Groupcontrol). Methods In this cross-sectional study, Groupathero included two subgroups: GroupExtraorIntra, with stenoses in either cervical or intracranial arteries, and GroupExtra&Intra, with stenoses in at least one cervical and one intracranial artery. Groupcontrol had no history of prior stroke/transient ischemic attacks and no stenoses ≥50% in cervical or intracranial arteries. Age and sex were comparable in all groups. Frequencies of CAC ≥100 and CAC > 0 were compared between Groupathero and Groupcontrol, as well as between GroupExtraorIntr, GroupExtra&Intra, and Groupcontrol, with bivariate logistic regressions. Multivariate analyses were also performed. Results A total of 120 patients were included: 80 in Groupathero and 40 in Groupcontrol. CAC >0 was significantly more frequent in Groupathero (85%) than Groupcontrol (OR, 4.19; 1.74-10.07; p = 0.001). Rates of CAC ≥100 were not significantly different between Groupathero and Groupcontrol but were significantly greater in GroupExtra&Intra (n = 13) when compared to Groupcontrol (OR 4.67; 1.21-18.04; p = 0.025). In multivariate-adjusted analyses, "Groupathero" and "GroupExtra&Intra" were significantly associated with CAC. Conclusion The frequency of coronary calcification was higher in subjects with stroke caused by large-artery atherosclerosis than in controls.
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Affiliation(s)
| | - Raul D. Santos
- Heart Institute (Instituto do Coração), University of São Paulo, Medical School Hospital, São Paulo, Brazil
- Hospital Israelita Albert Einstein, Academic Research Organization, São Paulo, Brazil
| | - Marcio Sommer Bittencourt
- Division of Cardiology, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, United States
| | - Roberto Nery Dantas
- Heart Institute (Instituto do Coração), University of São Paulo, Medical School Hospital, São Paulo, Brazil
- Hospital Israelita Albert Einstein, Academic Research Organization, São Paulo, Brazil
| | - Carlos André Oshiro
- Hospital das Clinicas, Neurology Clinical Division, University of São Paulo, São Paulo, Brazil
| | - Cesar Higa Nomura
- Heart Institute (Instituto do Coração), University of São Paulo, Medical School Hospital, São Paulo, Brazil
- Hospital Israelita Albert Einstein, Academic Research Organization, São Paulo, Brazil
| | - Edson Bor-Seng-Shu
- Hospital das Clinicas, Neurology Clinical Division, University of São Paulo, São Paulo, Brazil
| | | | | | | | - Maramelia Miranda Alves
- Neurology and Neurosurgery Department, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil
| | - Gisele Sampaio Silva
- Neurology and Neurosurgery Department, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil
| | - Victor Marinho Silva
- Hospital das Clinicas, Neurology Clinical Division, University of São Paulo, São Paulo, Brazil
| | - Adriana Bastos Conforto
- Hospital das Clinicas, Neurology Clinical Division, University of São Paulo, São Paulo, Brazil
- *Correspondence: Adriana Bastos Conforto
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Elhefnawy ME, Sheikh Ghadzi SM, Albitar O, Tangiisuran B, Zainal H, Looi I, Sidek NN, Aziz ZA, Harun SN. Predictive model of recurrent ischemic stroke: model development from real-world data. Front Neurol 2023; 14:1118711. [PMID: 37188311 PMCID: PMC10176964 DOI: 10.3389/fneur.2023.1118711] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Accepted: 03/13/2023] [Indexed: 05/17/2023] Open
Abstract
Background There are established correlations between risk factors and ischemic stroke (IS) recurrence; however, does the hazard of recurrent IS change over time? What is the predicted baseline hazard of recurrent IS if there is no influence of variable predictors? This study aimed to quantify the hazard of recurrent IS when the variable predictors were set to zero and quantify the secondary prevention influence on the hazard of recurrent ischemic stroke. Methods In the population cohort involved in this study, data were extracted from 7,697 patients with a history of first IS attack registered with the National Neurology Registry of Malaysia from 2009 to 2016. A time-to-recurrent IS model was developed using NONMEM version 7.5. Three baseline hazard models were fitted into the data. The best model was selected using maximum likelihood estimation, clinical plausibility, and visual predictive checks. Results Within the maximum 7.37 years of follow-up, 333 (4.32%) patients had at least one incident of recurrent IS. The data were well described by the Gompertz hazard model. Within the first 6 months after the index IS, the hazard of recurrent IS was predicted to be 0.238, and 6 months after the index attack, it reduced to 0.001. The presence of typical risk factors such as hyperlipidemia [HR, 2.22 (95%CI: 1.81-2.72)], hypertension [HR, 2.03 (95%CI: 1.52-2.71)], and ischemic heart disease [HR, 2.10 (95%CI: 1.64-2.69)] accelerated the hazard of recurrent IS, but receiving antiplatelets (APLTs) upon stroke decreased this hazard [HR, 0.59 (95%CI: 0.79-0.44)]. Conclusion The hazard of recurrent IS magnitude differs during different time intervals based on the concomitant risk factors and secondary prevention.
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Affiliation(s)
| | | | - Orwa Albitar
- School of Pharmaceutical Sciences, Universiti Sains Malaysia, Penang, Malaysia
| | | | - Hadzliana Zainal
- School of Pharmaceutical Sciences, Universiti Sains Malaysia, Penang, Malaysia
| | - Irene Looi
- Clinical Research Center, Hospital Seberang Jaya, Penang, Malaysia
| | | | - Zariah Abdul Aziz
- Clinical Research Centre, Hospital Sultanah Nur Zahirah, Terengganu, Malaysia
| | - Sabariah Noor Harun
- School of Pharmaceutical Sciences, Universiti Sains Malaysia, Penang, Malaysia
- *Correspondence: Sabariah Noor Harun
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Acute Ischemic Stroke Among Cannabis Users in the United States and Possible Risk Factors for Mortality. Neurologist 2022:00127893-990000000-00048. [DOI: 10.1097/nrl.0000000000000474] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
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Hurskainen M, Tynkkynen J, Eskola M, Hernesniemi J. Incidence of stroke and mortality due to stroke after acute coronary syndrome. J Stroke Cerebrovasc Dis 2022; 31:106842. [DOI: 10.1016/j.jstrokecerebrovasdis.2022.106842] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Revised: 09/05/2022] [Accepted: 10/03/2022] [Indexed: 11/21/2022] Open
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