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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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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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3
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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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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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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:NRE240019. [PMID: 38669488 DOI: 10.3233/nre-240019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 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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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: 0] [Impact Index Per Article: 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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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: 4] [Impact Index Per Article: 4.0] [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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9
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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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10
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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 2024:10.1007/s12035-023-03884-w. [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] [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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11
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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: 1.0] [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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12
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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: 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: 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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13
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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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14
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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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15
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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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17
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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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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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19
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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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20
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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, 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] [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: 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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22
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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: 0] [Impact Index Per Article: 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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23
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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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25
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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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26
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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: 5] [Impact Index Per Article: 5.0] [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: 0] [Impact Index Per Article: 0] [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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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 2022; 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] [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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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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Peng J, Ghosh D, Zhang F, Yang L, Wu J, Pang J, Zhang L, Yin S, Jiang Y. Advancement of epigenetics in stroke. Front Neurosci 2022; 16:981726. [PMID: 36312038 PMCID: PMC9610114 DOI: 10.3389/fnins.2022.981726] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 09/27/2022] [Indexed: 10/14/2023] Open
Abstract
A wide plethora of intervention procedures, tissue plasminogen activators, mechanical thrombectomy, and several neuroprotective drugs were reported in stroke research over the last decennium. However, against this vivid background of newly emerging pieces of evidence, there is little to no advancement in the overall functional outcomes. With the advancement of epigenetic tools and technologies associated with intervention medicine, stroke research has entered a new fertile. The stroke involves an overabundance of inflammatory responses arising in part due to the body's immune response to brain injury. Neuroinflammation contributes to significant neuronal cell death and the development of functional impairment and even death in stroke patients. Recent studies have demonstrated that epigenetics plays a key role in post-stroke conditions, leading to inflammatory responses and alteration of the microenvironment within the injured tissue. In this review, we summarize the progress of epigenetics which provides an overview of recent advancements on the emerging key role of secondary brain injury in stroke. We also discuss potential epigenetic therapies related to clinical practice.
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Affiliation(s)
- Jianhua Peng
- Department of Neurosurgery, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- Laboratory of Neurological Diseases and Brain Function, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- Institute of Epigenetics and Brain Science, Southwest Medical University, Luzhou, China
- Academician (Expert) Workstation of Sichuan Province, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Dipritu Ghosh
- Laboratory of Neurological Diseases and Brain Function, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Fan Zhang
- Department of Neurosurgery, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Lei Yang
- Department of Neurosurgery, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Jinpeng Wu
- Department of Neurosurgery, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Jinwei Pang
- Department of Neurosurgery, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Lifang Zhang
- Sichuan Clinical Research Center for Neurosurgery, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Shigang Yin
- Laboratory of Neurological Diseases and Brain Function, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- Institute of Epigenetics and Brain Science, Southwest Medical University, Luzhou, China
| | - Yong Jiang
- Department of Neurosurgery, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- Laboratory of Neurological Diseases and Brain Function, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- Institute of Epigenetics and Brain Science, Southwest Medical University, Luzhou, China
- Sichuan Clinical Research Center for Neurosurgery, The Affiliated Hospital of Southwest Medical University, Luzhou, China
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Yoo DY, Choi JK, Baek CY, Shin JB. Impact of intensive rehabilitation on long-term prognosis after stroke: A Korean nationwide retrospective cohort study. Medicine (Baltimore) 2022; 101:e30827. [PMID: 36197214 PMCID: PMC9509033 DOI: 10.1097/md.0000000000030827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
An increasing number of patients are receiving rehabilitation after stroke. But the impact of intensive rehabilitation on the long-term prognosis of patients with stroke remains to be elucidated. The purpose of this study was to identify the impact of intensive rehabilitation on the long-term prognosis of patients with stroke using data from the National Health Insurance Service database. This is a register-based, retrospective cohort study. Using data from the National Health Insurance Service database, we included the patients who received rehabilitation for stroke from 2006 to 2013. Of the 14,984 patients diagnosed with stroke, 2483 died within 1 year, and 2866 did not receive rehabilitation; hence, they were also excluded. The final sample included 9635 (49.2% men, 50.8% women) patients. After correcting for covariates, the Cox model was used to evaluate the effects of physical therapy (PT) and occupational therapy (OT) on survival. We estimated the independent contribution of each factor to the risk of death from the initiation of rehabilitation. Significant differences in mortality were observed according to age, Charlson comorbidity index (CCI), income level, and stroke type. Patients with stroke who received both PT and OT had a better long-term prognosis than those who received either treatment alone. Therapy performed by a physical therapist with more than 120 hours of training effectively improved the patients' long-term prognosis. Intensive PT and OT will help improve the long-term prognosis of patients with stroke. This study emphasizes the importance of intensive rehabilitation in these patients.
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Affiliation(s)
- Dong-Yup Yoo
- Department of Rehabilitation Medicine, National Health Insurance Ilsan Hospital, Goyang, South Korea
| | - Jung-Kyu Choi
- Health Insurance Research Institute, National Health Insurance Service, Wonju, South Korea
| | - Chang-Yoon Baek
- Department of Rehabilitation Medicine, National Health Insurance Ilsan Hospital, Goyang, South Korea
| | - Jung-Bin Shin
- Department of Rehabilitation Medicine, Good Balance Yonsei Clinic, Seoul, South Korea
- *Correspondence: Jung-Bin Shin, Department of Rehabilitation Medicine, Good Balance Yonsei Clinic, Seoul, South Korea (e-mail: )
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Hira K, Ueno Y, Watanabe M, Shimura H, Kurita N, Miyamoto N, Haginiwa H, Yamashiro K, Hattori N, Urabe T. Impact of D-dimer for pathologic differentiation on transesophageal echocardiography in embolic stroke of undetermined source: a single-center experience. BMC Neurol 2022; 22:338. [PMID: 36076175 PMCID: PMC9454212 DOI: 10.1186/s12883-022-02867-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Accepted: 08/30/2022] [Indexed: 11/22/2022] Open
Abstract
Background Embolic stroke of undetermined source (ESUS) encompasses diverse embologenic mechanisms, which transesophageal echocardiography (TEE) is critical to detect. Specific markers related to each embolic source in ESUS is not fully studied. We focused on D-dimer levels, and explored the association of D-dimer with potential embolic sources (PES) identified on TEE in ESUS. Methods Consecutive patients with ESUS were included in this study. Clinical characteristics including D-dimer levels were compared between ESUS patients with and without TEE, and among none of, one, and at least two PES in ESUS patients undergoing TEE. Factors related to elevation of D-dimer were analyzed. Results A total of 211 patients (age, 69.3 ± 13.2 years; 149 males) with ESUS were enrolled. Of these, 115 received TEE, displaying significantly younger age and lower D-dimer levels than patients without TEE (P < 0.05), and 20 (17%), 61 (53%), and 34 (30%) patients were classified into none of, one, and ≥ two PES, respectively. On multiple logistic regression analysis, D-dimer levels were related to one PES (odds ratio [OR]: 9.01; 95% confidence interval [CI]: 1.00–81.51; P = 0.050) and PES ≥ two (OR: 9.76; 95% CI: 1.07–88.97; P = 0.043). Right-to-left shunt (RLS) with deep venous thrombosis (DVT)(OR: 13.94; 95% CI: 1.77–109.99; P = 0.012) and without DVT (OR: 3.90; 95% CI: 1.20–12.70; P = 0.024) were associated with elevation of D-dimer. Conclusions D-dimer levels were higher in patients with PES. Among PES, RLS, with and without DVT, were associated with increase of D-dimer in ESUS.
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Affiliation(s)
- Kenichiro Hira
- Department of Neurology, Juntendo University Urayasu Hospital, 2-1-1 Tomioka, Urayasu, Chiba, 279-0021, Japan.,Department of Neurology, Juntendo University School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Yuji Ueno
- Department of Neurology, Juntendo University School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan.
| | - Masao Watanabe
- Department of Neurology, Juntendo University Urayasu Hospital, 2-1-1 Tomioka, Urayasu, Chiba, 279-0021, Japan
| | - Hideki Shimura
- Department of Neurology, Juntendo University Urayasu Hospital, 2-1-1 Tomioka, Urayasu, Chiba, 279-0021, Japan
| | - Naohide Kurita
- Department of Neurology, Juntendo University Urayasu Hospital, 2-1-1 Tomioka, Urayasu, Chiba, 279-0021, Japan
| | - Nobukazu Miyamoto
- Department of Neurology, Juntendo University School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Haruna Haginiwa
- Department of Neurology, Juntendo University School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Kazuo Yamashiro
- Department of Neurology, Juntendo University Urayasu Hospital, 2-1-1 Tomioka, Urayasu, Chiba, 279-0021, Japan
| | - Nobutaka Hattori
- Department of Neurology, Juntendo University School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Takao Urabe
- Department of Neurology, Juntendo University Urayasu Hospital, 2-1-1 Tomioka, Urayasu, Chiba, 279-0021, Japan
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Elsyaad MSA, Fayed AM, Megahed MMAS, Hamouda NH, Elmenshawy AM. Early assessment of aspiration risk in acute stroke by fiberoptic endoscopy in critically ill patients. Acute Crit Care 2022; 37:276-285. [PMID: 35791662 PMCID: PMC9475167 DOI: 10.4266/acc.2021.01375] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Accepted: 12/03/2021] [Indexed: 11/30/2022] Open
Abstract
Background Fiberoptic endoscopic evaluation of swallowing (FEES) has been recommended to assess aspiration in stroke. This study aimed to determine the diagnostic and prognostic roles of FEES in the early assessment of aspiration, intensive care unit (ICU) stay and mortality in acute stroke patients. Methods Fifty-two patients with acute stroke admitted to the Alexandria Main University Hospital were included. Complete examinations and assessment of aspiration using the 8-point penetration-aspiration scale (PAS) with FEES protocol were performed. Results The patients were classified into three groups: normal with no or low risk of aspiration (n=15, 27.3%; PAS level 1), low to moderate risk (n=8, 14.5%; PAS level 2–4), and high risk (n=32, 58.2%; PAS ≥5). There was high incidence of aspiration pneumonia, prolonged ICU stay, and mortality in both moderate- and high-risk groups (P=0.001, P<0.001, and P<0.001, respectively). The PAS score predicted aspiration pneumonia (hospital-acquired pneumonia) with sensitivity and specificity of 80.0% and 76.0%, respectively (negative predictive value [NPV], 76.0; positive predictive value [PPV], 80.0; 95% confidence interval [CI], 0.706–0.940) and mortality with sensitivity and specificity of 88.46% and 68.97% (NPV, 87.0; PPV, 71.9; 95% CI, 0.749–0.951). The PAS score could predict the length of ICU stay with sensitivity and specificity of 70.21% and 87.50, respectively (NPV, 33.3; PPV, 97.1; 95% CI, 0.605–0.906). Conclusions The standard FEES protocol using PAS score is a useful tool to assess aspiration in acute stroke patients and could be used to predict length of ICU stay and mortality.
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Ohlrogge AH, Frost L, Schnabel RB. Harmful Impact of Tobacco Smoking and Alcohol Consumption on the Atrial Myocardium. Cells 2022; 11:cells11162576. [PMID: 36010652 PMCID: PMC9406618 DOI: 10.3390/cells11162576] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 08/05/2022] [Accepted: 08/11/2022] [Indexed: 11/23/2022] Open
Abstract
Tobacco smoking and alcohol consumption are widespread exposures that are legal and socially accepted in many societies. Both have been widely recognized as important risk factors for diseases in all vital organ systems including cardiovascular diseases, and with clinical manifestations that are associated with atrial dysfunction, so-called atrial cardiomyopathy, especially atrial fibrillation and stroke. The pathogenesis of atrial cardiomyopathy, atrial fibrillation, and stroke in context with smoking and alcohol consumption is complex and multifactorial, involving pathophysiological mechanisms, environmental, and societal aspects. This narrative review summarizes the current literature regarding alterations in the atrial myocardium that is associated with smoking and alcohol.
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Affiliation(s)
- Amelie H. Ohlrogge
- Department of Cardiology, University Heart and Vascular Centre Hamburg, 20246 Hamburg, Germany
- German Centre for Cardiovascular Research (DZHK), Partner Site Hamburg/Kiel/Lübeck, 20246 Hamburg, Germany
| | - Lars Frost
- Diagnostic Centre, University Clinic for Development of Innovative Patient Pathways, Silkeborg Regional Hospital, 8600 Silkeborg, Denmark
- Department of Clinical Medicine, Aarhus University, 8200 Aarhus, Denmark
| | - Renate B. Schnabel
- Department of Cardiology, University Heart and Vascular Centre Hamburg, 20246 Hamburg, Germany
- German Centre for Cardiovascular Research (DZHK), Partner Site Hamburg/Kiel/Lübeck, 20246 Hamburg, Germany
- Correspondence:
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Ischemic stroke demographics, clinical features and scales and their correlations: an exploratory study from Jordan. Future Sci OA 2022; 8:FSO809. [PMID: 36248068 PMCID: PMC9540235 DOI: 10.2144/fsoa-2022-0017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Accepted: 07/22/2022] [Indexed: 11/23/2022] Open
Abstract
Aims: The authors aimed to assess the ischemic stroke risk factors and scales. Materials & methods: A retrospective cohort study was conducted on patients with acute ischemic stroke (from January 2017 to December 2018). The scores of the National Institutes of Health Stroke Scale (NIHSS) at admission and discharge and of the modified Rankin Scale (mRS) and Barthel Index (BI) scale post-month of the stroke were collected. Results: Out of 376 patients, 359 were included, with a mean (standard deviation) age of 67.8 (12.2) years and male predominance (56.2%). Hyperlipidemia and hypertension were the most prevalent comorbidities (91.1% and 80.5%, respectively). The NIHSS, BI and mRS scores were worse among women, with no significant effects for comorbidities. The NIHSS scores at admission and discharge were significantly correlated with the post-month BI and mRS scores. Conclusion: The study findings suggest a complex interplay of gender, strict control and prevention of the modifiable stroke risk factors, as well as the association of neurological deficits' intensity with the functional outcomes. This study aimed to explore the demographics, the clinical risk factors and the scores of the National Institutes of Health Stroke Scale (NIHSS), modified Rankin Scale (mRS) and Barthel Index (BI) scale at different points of time among the survivors of acute ischemic stroke at a tertiary hospital in Jordan. Also, the study aimed to investigate the differences in the scales' scores by the patients' characteristics and the correlations between these scales. Out of 376 screened patients, 359 were included. Their mean (standard deviation) age was 67.8 (12.2) years, and 56.2% were men. Compared with male participants, women scored significantly worse on the NIHSS at admission (7.61 [5.51] vs 9.47 [6.64]; p = 0.048), NIHSS at discharge (5.57 [4.72] vs 7.40 [5.88]; p = 0.028) and BI scale 1 month post-event (78.68 [28.33] vs 66.03 [35.86]; p = 0.011). The mean (standard deviation) mRS score post-month of stroke was lower in men (2.4 [1.7]) than in women (2.9 [1.9]), with a lack of statistical significance (p = 0.097). Thus, despite the male predominance in the cohort, women tended to have a more severe stroke, worse neurological impairment and poorer functional outcomes. Hyperlipidemia had the highest prevalence, sensitivity, positive predictive value and negative predictive value rates, followed by hypertension. No statistically significant differences existed in the comorbidities' NIHSS, BI scale and mRS scores. Strong and significant correlations were observed between the scores of NIHSS at admission and discharge and the BI scale and mRS scores at 1 month post-event. Thus, the authors concluded that neurological deficit severity has a potential role in predicting functioning outcomes and vice versa.
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Kim JG, Boo K, Kang CH, Kim HJ, Choi JC. Impact of Neuroimaging Patterns for the Detection of a Trial Fibrillation by Implantable Loop Recorders in Patients With Embolic Stroke of Undetermined Source. Front Neurol 2022; 13:905998. [PMID: 35769362 PMCID: PMC9234145 DOI: 10.3389/fneur.2022.905998] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Accepted: 05/10/2022] [Indexed: 11/13/2022] Open
Abstract
Objectives Atrial fibrillation (AF) is a well-known etiology of embolic stroke of undetermined source (ESUS), although the optimal detection strategy of AF was not been fully evaluated yet. We assessed AF detection rate by implantable loop recorder (ILR) in patients with ESUS and compared the clinical characteristics and neuroimaging patterns between the patients with AF and AF-free patients. Methods We reviewed clinical characteristics and neuroimaging patterns of consecutive patients with who were admitted to our comprehensive stroke center for ESUS and underwent ILR insertion between August 1, 2019, and January 31, 202. The inclusion criteria were (1) 18 years of age or older; (2) classified as having cryptogenic stroke extracted from the group with undetermined stroke according to ESUS International Working Group; and (3) underwent ILR insertion during or after admission due to index ischemic events. Ischemic stroke pattern was classified as (1) tiny-scattered infarction, (2) whole-territorial infarction, (3) lobar infarction and (4) multiple-territorial infarction. Interrogations of data retrieved from the ILR were performed by cardiologists in every month after the implantation. Results In this study, 41 ESUS patients who received an ILR implantation were enrolled (mean age, 64 years; male sex, 65.9%). The rate of AF detection at 6 months was 34% (14 patients), and the mean time from ILR insertion to AF detection was 52.5 days [interquartile range (IQR), 45.0–69.5]. The median initial NIH stroke scale scores were significantly greater in patients with AF than those without AF (6.5 vs. 3.0, p = 0.019). Whole-territorial infarction pattern was significantly more frequent in patients with AF than in those without AF (64.3% vs.11.1%, p = 0.002). Conclusions Higher covert AF detection rates within the ESUS patients were most often associated with higher NIHSS and whole-territorial infarction patterns on brain imaging.
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Affiliation(s)
- Joong-Goo Kim
- Department of Neurology, Jeju National University Hospital, Jeju, South Korea
| | - Kiyung Boo
- Department of Internal Medicine, Jeju National University Hospital, Jeju, South Korea
| | - Chul-Hoo Kang
- Department of Neurology, Jeju National University Hospital, Jeju, South Korea
| | - Hong Jun Kim
- Department of Neurology, Jeju National University Hospital, Jeju, South Korea
| | - Jay Chol Choi
- Department of Neurology, Jeju National University Hospital, Jeju, South Korea
- *Correspondence: Jay Chol Choi
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Dilaveris PE, Antoniou CK, Caiani EG, Casado-Arroyo R, Climent AΜ, Cluitmans M, Cowie MR, Doehner W, Guerra F, Jensen MT, Kalarus Z, Locati ET, Platonov P, Simova I, Schnabel RB, Schuuring M, Tsivgoulis G, Lumens J. ESC Working Group on e-Cardiology Position Paper: accuracy and reliability of electrocardiogram monitoring in the detection of atrial fibrillation in cryptogenic stroke patients : In collaboration with the Council on Stroke, the European Heart Rhythm Association, and the Digital Health Committee. EUROPEAN HEART JOURNAL. DIGITAL HEALTH 2022; 3:341-358. [PMID: 36712155 PMCID: PMC9707962 DOI: 10.1093/ehjdh/ztac026] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
The role of subclinical atrial fibrillation as a cause of cryptogenic stroke is unambiguously established. Long-term electrocardiogram (ECG) monitoring remains the sole method for determining its presence following a negative initial workup. This position paper of the European Society of Cardiology Working Group on e-Cardiology first presents the definition, epidemiology, and clinical impact of cryptogenic ischaemic stroke, as well as its aetiopathogenic association with occult atrial fibrillation. Then, classification methods for ischaemic stroke will be discussed, along with their value in providing meaningful guidance for further diagnostic efforts, given disappointing findings of studies based on the embolic stroke of unknown significance construct. Patient selection criteria for long-term ECG monitoring, crucial for determining pre-test probability of subclinical atrial fibrillation, will also be discussed. Subsequently, the two major classes of long-term ECG monitoring tools (non-invasive and invasive) will be presented, with a discussion of each method's pitfalls and related algorithms to improve diagnostic yield and accuracy. Although novel mobile health (mHealth) devices, including smartphones and smartwatches, have dramatically increased atrial fibrillation detection post ischaemic stroke, the latest evidence appears to favour implantable cardiac monitors as the modality of choice; however, the answer to whether they should constitute the initial diagnostic choice for all cryptogenic stroke patients remains elusive. Finally, institutional and organizational issues, such as reimbursement, responsibility for patient management, data ownership, and handling will be briefly touched upon, despite the fact that guidance remains scarce and widespread clinical application and experience are the most likely sources for definite answers.
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Affiliation(s)
| | - Christos Konstantinos Antoniou
- First Department of Cardiology, Hippokration Hospital, National and Kapodistrian University of Athens, 114 Vas. Sofias Avenue, 11527 Athens, Greece,Electrophysiology and Pacing Laboratory, Athens Heart Centre, Athens Medical Center, Marousi, Attica, Greece
| | - Enrico G Caiani
- Politecnico di Milano, Department of Electronics, Information and Biomedical Engineering, Milan, Italy,National Council of Research, Institute of Electronics, Information and Telecommunication Engineering, Milan, Italy
| | - Ruben Casado-Arroyo
- Department of Cardiology, Erasme Hospital, Université Libre de Bruxelles, Brussels, Belgium
| | - Andreu Μ Climent
- ITACA Institute, Universitat Politècnica de València, Camino de Vera s/n, Valencia, Spain
| | - Matthijs Cluitmans
- CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Martin R Cowie
- Department of Cardiology, Royal Brompton Hospital, London, United Kingdom
| | - Wolfram Doehner
- Berlin Institute of Health at Charité—Universitätsmedizin Berlin, BIH Center for Regenerative Therapies (BCRT), Charitéplatz 1, 10117 Berlin, Germany,Department of Cardiology (Virchow Klinikum), and Center for Stroke Research Berlin, Charité Universitätsmedizin Berlin, and German Centre for Cardiovascular Research (DZHK), partner site Berlin, Germany
| | - Federico Guerra
- Cardiology and Arrhythmology Clinic, Marche Polytechnic University, University Hospital ‘Ospedali Riuniti Umberto I—Lancisi—Salesi’, Ancona, Italy
| | - Magnus T Jensen
- Department of Cardiology, Copenhagen University Hospital Amager & Hvidovre, Denmark
| | - Zbigniew Kalarus
- DMS in Zabrze, Department of Cardiology, Medical University of Silesia, Katowice, Poland
| | - Emanuela Teresa Locati
- Arrhythmology & Electrophysiology Department, IRCCS Policlinico San Donato, Milan, Italy
| | - Pyotr Platonov
- Department of Cardiology, Clinical Sciences, Lund University Hospital, Lund, Sweden
| | - Iana Simova
- Cardiology Clinic, Heart and Brain Centre of Excellence—University Hospital, Medical University Pleven, Pleven, Bulgaria
| | - Renate B Schnabel
- Department of Cardiology, University Heart and Vascular Centre Hamburg-Eppendorf, Hamburg, Germany,German Center for Cardiovascular Research (DZHK) partner site, Hamburg/Kiel/Lübeck, Germany
| | - Mark Schuuring
- Department of Cardiology, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Georgios Tsivgoulis
- Second Department of Neurology, ‘Attikon’ University Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece,Department of Neurology, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Joost Lumens
- CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, Maastricht, The Netherlands
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Shijoh Y, Saito S, Dai Z, Ohde S. Cost-effectiveness analysis of patent foramen ovale closure versus medical therapy alone after cryptogenic stroke. PLoS One 2022; 17:e0268690. [PMID: 35657973 PMCID: PMC9165785 DOI: 10.1371/journal.pone.0268690] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Accepted: 05/04/2022] [Indexed: 11/19/2022] Open
Abstract
Background
Closure of a patent foramen ovale reduces the risk of recurrent stroke compared with medical therapy alone in young patients with cryptogenic strokes revealed by randomized control trials. Some cost-effectiveness analyses outside Japan have shown that patent foramen ovale closure is cost-effective, but no studies have examined cost-effectiveness in Japan. The objective of this study is to assess cost-effectiveness, from the perspective of a Japanese healthcare payer, of patent foramen ovale closure versus medical therapy alone for patients with patent foramen ovale related to cryptogenic strokes.
Methods
A cost-effectiveness study was conducted by developing a decision tree and a Markov model. Probabilities and a 5.9-year time horizon followed the RESPECT study. Utilities and costs were based upon published studies and assumptions. All assumptions were assessed by experts, including a cardiologist and a statistical expert. The target population comprised patients with cryptogenic stroke and patent foramen ovale, aged 60 years or younger. The model was discounted at 2.0% and its cycle was one month. A willingness-to-pay threshold is set at $50,000 / quality-adjusted life years (QALYs). Incremental cost-effectiveness ratio was evaluated. Then one-way sensitivity analyses as deterministic sensitivity analysis, and probabilistic sensitivity analyses were performed to assess data robustness.
Results
Incremental quality-adjusted life years, incremental costs, and incremental cost-effectiveness ratio were 0.464, $13,562, and $29,208 per QALY gained, respectively. One-way sensitivity analysis showed that the stable state utility score difference between patent foramen ovale closure and medical therapy had the largest impact on incremental cost-effectiveness ratio. Patent foramen ovale closure is cost-effective at a stable state utility score difference of >0.051, compared with medical therapy. Probabilistic sensitivity analyses demonstrated that patent foramen ovale closure was 50.3% cost-effective.
Conclusions
Patent foramen ovale closure was cost-effective compared with medical therapy for Japanese patients with cryptogenic stroke who were ≤60 years.
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Affiliation(s)
- Yoko Shijoh
- Graduate School of Public Health St. Luke’s International University, Chuo-City, Tokyo, Japan
- * E-mail:
| | - Shota Saito
- Niigata University Graduate School of Medical and Dental Sciences, Niigata-City, Niigata, Japan
| | - Zhehao Dai
- Department of Cardiovascular Medicine, The University of Tokyo Hospital, Bunkyo-City, Tokyo, Japan
- Department of Cardiovascular Medicine, St. Luke’s International Hospital, Chuo-City, Tokyo, Japan
| | - Sachiko Ohde
- Graduate School of Public Health St. Luke’s International University, Chuo-City, Tokyo, Japan
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Zheng Q, Chen Y, Zhai Y, Meng L, Liu H, Tian H, Feng R, Wang J, Zhang R, Sun K, Gao L, Wang Y, Wang X, Wu E, Teng J, Ding X. Gut Dysbiosis Is Associated With the Severity of Cryptogenic Stroke and Enhanced Systemic Inflammatory Response. Front Immunol 2022; 13:836820. [PMID: 35603160 PMCID: PMC9120915 DOI: 10.3389/fimmu.2022.836820] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Accepted: 03/22/2022] [Indexed: 01/14/2023] Open
Abstract
Studies implicate that gut dysbiosis is related with many neurological diseases. However, the potential role of gut dysbiosis in cryptogenic stroke (CS) has not been elucidated yet. In this study, a high prevalence of gastrointestinal (GI) dysfunction and gut inflammation with increased intestinal permeability have been found in CS patients compared with normal controls (NCs). The systemic inflammation in CS patients was also identified by measuring the levels of plasma C-reactive protein (CRP), lipopolysaccharide (LPS), LPS-binding protein (LBP), and white blood cells (WBC) count. Using 16S rRNA sequencing, we found increased alpha diversity, accompanied by a higher abundance of Enterobacteriaceae, Streptococcaceae, and Lactobacillaceae at the family level and Escherichia–Shigella, Streptococcus, Lactobacillus, and Klebsilla at the genus level in the intestinal microbiota of CS patients compared to NCs. Our results showed that the abundance of Klebsilla was positively correlated with the systemic inflammation, the National Institutes of Health Stroke Scale (NIHSS) scores, and the infarct volumes. In conclusion, gut dysbiosis in CS patients was associated with the severity of CS and the systemic inflammation. Maintaining the intestinal homeostasis may be a potential strategy for the treatment of CS.
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Affiliation(s)
- Qianyi Zheng
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Institute of Parkinson and Movement Disorder, Zhengzhou University, Zhengzhou, China
| | - Yongkang Chen
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Institute of Parkinson and Movement Disorder, Zhengzhou University, Zhengzhou, China
| | - Yanping Zhai
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Institute of Parkinson and Movement Disorder, Zhengzhou University, Zhengzhou, China
| | - Lin Meng
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Institute of Parkinson and Movement Disorder, Zhengzhou University, Zhengzhou, China
| | - Han Liu
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Institute of Parkinson and Movement Disorder, Zhengzhou University, Zhengzhou, China
| | - Haiyan Tian
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Institute of Parkinson and Movement Disorder, Zhengzhou University, Zhengzhou, China
| | - Renyi Feng
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Institute of Parkinson and Movement Disorder, Zhengzhou University, Zhengzhou, China
| | - Jiuqi Wang
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Institute of Parkinson and Movement Disorder, Zhengzhou University, Zhengzhou, China
| | - Rui Zhang
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Institute of Parkinson and Movement Disorder, Zhengzhou University, Zhengzhou, China
| | - Kedi Sun
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Institute of Parkinson and Movement Disorder, Zhengzhou University, Zhengzhou, China
| | - Lina Gao
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Institute of Parkinson and Movement Disorder, Zhengzhou University, Zhengzhou, China
| | - Yijing Wang
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Institute of Parkinson and Movement Disorder, Zhengzhou University, Zhengzhou, China
| | - Xuejing Wang
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Institute of Parkinson and Movement Disorder, Zhengzhou University, Zhengzhou, China
| | - Erxi Wu
- Neuroscience Institute and Department of Neurosurgery, Baylor Scott & White Health, Temple, TX, United States.,College of Medicine, Texas A&M University, College Station, TX, United States.,Irma Lerma Rangel College of Pharmacy, Texas A&M University, College Station, TX, United States.,LIVESTRONG Cancer Institutes and Department of Oncology, Dell Medical School, University of Texas at Austin, Austin, TX, United States
| | - Junfang Teng
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Institute of Parkinson and Movement Disorder, Zhengzhou University, Zhengzhou, China
| | - Xuebing Ding
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Institute of Parkinson and Movement Disorder, Zhengzhou University, Zhengzhou, China
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Chen J, Zhu Q, Yu L, Li Y, Jia S, Zhang J. Stroke Risk Factors of Stroke Patients in China: A Nationwide Community-Based Cross-Sectional Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19084807. [PMID: 35457673 PMCID: PMC9030671 DOI: 10.3390/ijerph19084807] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Revised: 03/31/2022] [Accepted: 04/07/2022] [Indexed: 12/12/2022]
Abstract
Background: Stroke is the leading cause of death in China, and its burdens are rapidly increasing. The prevalence and control of stroke risk factors among stroke patients in China are unknown. Objective: We investigated the stroke risk factors of stroke patients in China. Design: We examined stroke risk factors in 6580 stroke patients aged 18 years or older in the China National Chronic Diseases and Nutrition Surveillance of Adults (2015–2017). With regard to the basic characteristics of the study participants, categorical variables were described as frequency (percent). The chi-square test was used to analyze the difference between men and women. The multivariate logistic regression model was used in the multivariate analysis. Results: Among the 6580 stroke patients, hypertension was the most common stroke risk factor identified in most cases (78.51%), followed by overweight or obesity (61.58%), dyslipidemia (54.38%), smoking (24.04%), diabetes (21.75%), family history of stroke (17.43%), lack of exercise (16.35%), and atrial fibrillation (4.47%). Drinking stroke patients had a lower rate of hypertension, diabetes, and dyslipidemia. Patients with hyperuricemia had a higher rate of hypertension and dyslipidemia than no-hyperuricemia patients. The hypertension awareness, treatment, and control rates among hypertension stroke patients were 73.62%, 70.19%, and 17.79%, respectively. The diabetes awareness, treatment, and control rates among diabetes patients were 69.74%, 65.83%, and 34.59%, respectively. The dyslipidemia awareness, treatment, and control rates among dyslipidemia patients were 42.37%, 29.4%, and 20.07%, respectively. Among treated hypertension patients, the rates of taking medicine as medically advised, controlled diet, increased exercise, and blood pressure monitoring were 91.31%, 58.88%, 45.78%, and 73.99%, respectively. Among treated diabetes patients, the rates of oral antidiabetic medications, insulin injection, diet control, and blood glucose monitoring were 78.24%, 34.71%, 85.77%, and 78.24%, respectively. Among treated dyslipidemic patients, the rate of taking medicine as medical advice, controlled diet, increased exercise, and regular blood lipid monitoring was 80.61%, 77.57%, 56.46%, and 40.3%, respectively. Conclusions: The most common risk factors for community stroke patients in China are hypertension, dyslipidemia, and overweight or obesity. The stroke community patients’ suboptimal awareness and treatment of hypertension, and suboptimal awareness, treatment, and control of diabetes, and dyslipidemia are significant problems in China.
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Affiliation(s)
- Jingyi Chen
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China; (J.C.); (Q.Z.); (L.Y.); (Y.L.); (S.J.)
| | - Qianrang Zhu
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China; (J.C.); (Q.Z.); (L.Y.); (Y.L.); (S.J.)
| | - Lianlong Yu
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China; (J.C.); (Q.Z.); (L.Y.); (Y.L.); (S.J.)
- Shandong Center for Disease Control and Prevention, Ji’nan 250000, China
| | - Yuqian Li
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China; (J.C.); (Q.Z.); (L.Y.); (Y.L.); (S.J.)
- Key Laboratory of Trace Element Nutrition of National Health Commission (NHC), Beijing 100050, China
| | - Shanshan Jia
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China; (J.C.); (Q.Z.); (L.Y.); (Y.L.); (S.J.)
- Key Laboratory of Trace Element Nutrition of National Health Commission (NHC), Beijing 100050, China
| | - Jian Zhang
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China; (J.C.); (Q.Z.); (L.Y.); (Y.L.); (S.J.)
- Correspondence: ; Tel.: +86-010-6623-7147
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Xu R, Hu X, Wang T, Yang Y, Jiang N, Luo J, Zhang X, Patel AB, Dmytriw AA, Jiao L. Visceral Adiposity and Risk of Stroke: A Mendelian Randomization Study. Front Neurol 2022; 13:804851. [PMID: 35481268 PMCID: PMC9035635 DOI: 10.3389/fneur.2022.804851] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Accepted: 03/15/2022] [Indexed: 12/02/2022] Open
Abstract
Purpose In recent years, metabolic syndrome has risen in prevalence and brought a heavy disease burden to modern society. As the representative aspect of metabolic syndrome, obesity has been shown to be related to an increased risk of stroke. Given that visceral adipose tissue (VAT) forms the fundamental basis of central obesity, we sought to explore a causal relationship between VAT and stroke by using mendelian randomization (MR) methods. Methods Based on two large genome-wide association studies (GWAS) including 325,153 and 35,762 cases of VAT and stroke, respectively, we conducted a MR study which has the inherent advantage of reducing the noise of confounding and reverse causation. Results VAT had a significant causal association with ischemic stroke (OR, per 1kg increase in VAT mass, 1.30; 95% CI, 1.18 ~ 1.45; P = 5.87E-07) as opposed to intracranial hemorrhage (ICH) (OR, 1.15; 95% CI, 0.70 ~ 1.88, P = 5.81E-01) as evaluated with inverse-variance weighting (IVW). Regarding subtypes of ischemic stroke, there was a significant causal effect for cardioembolic stroke (OR, 1.34; 95% CI, 1.13 ~ 1.58, P = 8.07E-04), and potential causal effect for small-vessel stroke (OR, 1.32; 95% CI, 1.06 ~ 1.65, P = 1.39E-02) and large-artery atherosclerotic stroke (OR, 1.33; 95% CI, 1.03 ~ 1.70, P = 2.59E-02). Conclusions This study provides potential evidence for a causal role of VAT in ischemic stroke and could suggest novel genetical therapeutic strategies for distinct subtypes of ischemic stroke.
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Affiliation(s)
- Ran Xu
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China
- China International Neuroscience Institute (China-INI), Beijing, China
| | - Xinzhi Hu
- Department of Human Anatomy, Histology and Embryology, Peking Union Medical College Hospital, Peking Union Medical College, Institute of Basic Medical Sciences, Chinese Academy of Medical Science, Beijing, China
| | - Tao Wang
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China
- China International Neuroscience Institute (China-INI), Beijing, China
| | - Yutong Yang
- Faculty of Medicine, Imperial College London, National Heart and Lung Institute, London, United Kingdom
| | - Nan Jiang
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China
- China International Neuroscience Institute (China-INI), Beijing, China
| | - Jichang Luo
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China
- China International Neuroscience Institute (China-INI), Beijing, China
| | - Xiao Zhang
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China
- China International Neuroscience Institute (China-INI), Beijing, China
| | - Aman B. Patel
- Neuroendovascular Program, Massachusetts General Hospital, Boston, MA, United States
| | - Adam A. Dmytriw
- Neuroendovascular Program, Massachusetts General Hospital, Boston, MA, United States
- Neuroradiology and Neurointervention Service, Brigham and Women's Hospital Harvard Medical School, Boston, MA, United States
- *Correspondence: Adam A. Dmytriw
| | - Liqun Jiao
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China
- China International Neuroscience Institute (China-INI), Beijing, China
- Department of Interventional Neuroradiology, Xuanwu Hospital, Capital Medical University, Beijing, China
- Liqun Jiao
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Salmantabar P, Abzhandadze T, Viktorisson A, Reinholdsson M, Sunnerhagen KS. Pre-stroke Physical Inactivity and Stroke Severity in Male and Female Patients. Front Neurol 2022; 13:831773. [PMID: 35359627 PMCID: PMC8963352 DOI: 10.3389/fneur.2022.831773] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Accepted: 02/08/2022] [Indexed: 11/13/2022] Open
Abstract
Introduction Females experience more severe ischemic strokes than do males. A higher pre-stroke physical activity level is associated with less severe stroke. The primary aim of this study was to explore the association between pre-stroke physical inactivity and stroke severity in male and female patients. Methods This was a retrospective, registry-based study. The data were retrieved from two stroke registries from 2014 to 2019. The primary explanatory variable was physical activity level before the stroke, assessed using the Saltin-Grimby Physical Activity Level Scale. The outcome was moderate to severe stroke at hospital admission, assessed using the National Institutes of Health Stroke Scale (NIHSS). A moderate to severe stroke was defined as a NIHSS score of ≥6. Binary logistic regression analysis was performed to explore if physical inactivity before the stroke could explain stroke severity in male and female patients. Results In total, we included 4,535 patients with ischemic stroke. Female patients (n = 2,145) had a mean age of 76 years, 35% had a moderate to severe stroke, and 64% were physically inactive pre-stroke. Male patients (n = 2,390) had a mean age of 72 years, 25% had a moderate to severe stroke, and 49% were physically inactive pre-stroke. Physical inactivity was associated with higher odds for moderate to severe stroke in both sexes (females' odds ratio [OR], 2.7, 95% confidence interval [CI]: 2.2–3.3, p < 0.001 and males' OR, 2.06, 95% CI: 1.7–2.5, p < 0.001). The association remained significant in the adjusted models. Conclusions Physically inactive females and males had higher odds of experiencing a moderate to severe stroke. However, the OR of female patients was somewhat higher than that of male patients.
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Affiliation(s)
- Pegah Salmantabar
- Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Tamar Abzhandadze
- Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Occupational Therapy and Physiotherapy, Sahlgrenska University Hospital, Gothenburg, Sweden
- *Correspondence: Tamar Abzhandadze
| | - Adam Viktorisson
- Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Malin Reinholdsson
- Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Occupational Therapy and Physiotherapy, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Katharina S. Sunnerhagen
- Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Rehabilitation Medicine, Neurocare, Sahlgrenska University Hospital, Gothenburg, Sweden
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Raynald, Sun D, Huo X, Jia B, Tong X, Ma G, Wang A, Mo D, Ma N, Gao F, Amin S, Ren Z, Miao Z. The Safety and Efficacy of Endovascular Treatment in Acute Ischemic Stroke Patients Caused by Large-Vessel Occlusion with Different Etiologies of Stroke: Data from ANGEL-ACT Registry. Neurotherapeutics 2022; 19:501-512. [PMID: 35243592 PMCID: PMC9226213 DOI: 10.1007/s13311-022-01189-9] [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] [Accepted: 01/13/2022] [Indexed: 11/25/2022] Open
Abstract
This study aimed to investigate the safety and efficacy of endovascular treatment (EVT) in acute ischemic stroke (AIS) patients caused by large-vessel occlusion (LVO) with different etiologies of stroke. A total of 928 AIS patients were assigned into intracranial atherosclerotic stenosis (ICAS)-LVO, cardioembolic (CE)-LVO, and artery to artery embolism (ATA)-LVO groups. The safety and efficacy endpoints were symptomatic intracranial hemorrhage (SICH) at 24 h after EVT, 90-day favorable outcomes (modified Rankin Scale (mRS) of 0-2), successful recanalization (modified thrombolysis in cerebral infarct (mTICI) 2b/3), and complete recanalization (mTICI 3). The logistic regression analysis was used to determine the associations between the safety and efficacy endpoints. There were 305 (32.9%), 535 (57.6%), and 88 (9.5%) patients in ICAS-LVO, CE-LVO, and ATA-LVO groups, respectively. No significant difference was found in the 90-day mRS and successful recanalization among the three groups. However, compared with the ICAS-LVO group, complete recanalization rate was higher in the CE-LVO (adjusted odds ratio, 4.50; 95% confidence interval (CI), 2.37-8.56) and ATA-LVO groups (aOR, 2.43; 95% CI, 1.16-5.10). The results of subgroup analysis showed a significant association between CE-LVO stroke etiology and complete recanalization in the age population < 65 years old (aOR, 14.33; 95% CI, 4.39-46.79, P = 0.019). Functional outcomes were similar among different etiologies of stroke. CE-LVO and ATA-LVO could be related to a higher rate of complete recanalization, and there was a trend of the increased risk of parenchymal hemorrhage in the CE-LVO group.
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Affiliation(s)
- Raynald
- Department of Interventional Neuroradiology, Fengtai District, Beijing Tiantan Hospital, Capital Medical University, No. 119 South 4th Ring West Road, Beijing, 100070, China
| | - Dapeng Sun
- Department of Interventional Neuroradiology, Fengtai District, Beijing Tiantan Hospital, Capital Medical University, No. 119 South 4th Ring West Road, Beijing, 100070, China
| | - Xiaochuan Huo
- Department of Interventional Neuroradiology, Fengtai District, Beijing Tiantan Hospital, Capital Medical University, No. 119 South 4th Ring West Road, Beijing, 100070, China.
| | - Baixue Jia
- Department of Interventional Neuroradiology, Fengtai District, Beijing Tiantan Hospital, Capital Medical University, No. 119 South 4th Ring West Road, Beijing, 100070, China
| | - Xu Tong
- Department of Interventional Neuroradiology, Fengtai District, Beijing Tiantan Hospital, Capital Medical University, No. 119 South 4th Ring West Road, Beijing, 100070, China
| | - Gaoting Ma
- Department of Interventional Neuroradiology, Fengtai District, Beijing Tiantan Hospital, Capital Medical University, No. 119 South 4th Ring West Road, Beijing, 100070, China
| | - Anxin Wang
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Dapeng Mo
- Department of Interventional Neuroradiology, Fengtai District, Beijing Tiantan Hospital, Capital Medical University, No. 119 South 4th Ring West Road, Beijing, 100070, China
| | - Ning Ma
- Department of Interventional Neuroradiology, Fengtai District, Beijing Tiantan Hospital, Capital Medical University, No. 119 South 4th Ring West Road, Beijing, 100070, China
| | - Feng Gao
- Department of Interventional Neuroradiology, Fengtai District, Beijing Tiantan Hospital, Capital Medical University, No. 119 South 4th Ring West Road, Beijing, 100070, China
| | - Sheyar Amin
- Department of Neurology, University of South Florida, Tampa, FL, USA
| | - Zeguang Ren
- Department of Neurosurgery, Cleveland Clinic Martin Health, Port St. Lucie, FL, USA
| | - Zhongrong Miao
- Department of Interventional Neuroradiology, Fengtai District, Beijing Tiantan Hospital, Capital Medical University, No. 119 South 4th Ring West Road, Beijing, 100070, China.
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Amemiya S, Takei N, Ueyama T, Fujii K, Takao H, Yasaka K, Watanabe Y, Kamiya K, Abe O. Accelerated Two-Point Dixon MR Angiography Improves Diagnostic Performance for Cervical Artery Diseases. J Magn Reson Imaging 2022; 56:929-941. [PMID: 35188699 DOI: 10.1002/jmri.28122] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Revised: 02/04/2022] [Accepted: 02/04/2022] [Indexed: 01/01/2023] Open
Abstract
BACKGROUND Nonenhanced MR angiography (MRA) studies are often used to manage acute and chronic large cervical artery disease, but lengthy scan times limit their clinical usefulness. PURPOSE To develop an accelerated cervical MRA and test its diagnostic performance. STUDY TYPE Prospective. POPULATION Patients with cervical artery disease (n = 32, 17 males). FIELD STRENGTH/SEQUENCE 3.0 T; accelerated two-point Dixon three-dimensional Cartesian spoiled gradient-echo (FLEXA) and conventional time-of-flight MRA (cMRA) sequences. ASSESSMENT All patients underwent FLEXA (1'28″) and cMRA (6'47″) acquisitions. Quantitative evaluation (artery-to-background signal ratio and a blur metric) and qualitative evaluation using diagnostic performance measured by the sensitivity, specificity, and positive/negative predictive values (PPV/NPV), and vessel and plaque visualization scores from three board-certified radiologists' (with 10, 11, and 12 years of experience) independent readings using maximum intensity projection (MIP) for luminal diseases and axial images for plaque. The reference standards were contrast-enhanced angiography and fat-saturated T1-weighted images, respectively. STATISTICAL TESTS All measures were compared between FLEXA and cMRA using the paired t, Wilcoxon signed-rank, McNemar's, or chi-squared test, as appropriate. Interreader agreement was assessed using Cohen's κ. P < 0.05 was considered statistically significant. RESULTS The artery-to-background signal ratio was significantly higher for FLEXA (FLEXA: 7.20 ± 1.63 [fat]; 4.26 ± 0.52 [muscle]; cMRA: 2.57 ± 0.49 [fat]), while image blurring was significantly less (FLEXA: 0.24 ± 0.016; cMRA: 0.30 ± 0.029). In luminal disease detection, sensitivity (FLEXA: 0.97/0.91/0.91; cMRA:0.71/0.69/0.63), specificity (FLEXA: 0.98/0.93/0.98; cMRA:0.93/0.85/0.92), PPV (FLEXA: 0.92/0.86/0.86; cMRA: 0.64/0.5/0.58), and NPV (FLEXA: 0.99/0.98/0.98; cMRA: 0.92/0.91/0.9) were significantly higher for FLEXA. interreader agreement was substantial to almost perfect for FLEXA (κ = 0.82/0.86/0.78) and moderate to substantial for cMRA (κ = 0.67/0.56/0.57). MIP visualization scores were significantly higher for FLEXA, with substantial to almost perfect interreader agreement (FLEXA: κ = 0.83/0.86/0.82; cMRA: κ = 0.89/0.79/0.79). In plaque detection, sensitivity (FLEXA: 0.9/0.9/0.7; cMRA: 0.3/0.6/0.2) and specificity (FLEXA: 1/0.87/1; cMRA: 0.93/0.63/0.97) were significantly higher for FLEXA in two of three readers. The interreader plaque detection agreement was fair to substantial (FLEXA: κ = 0.63/0.69/0.48; cMRA: κ = 0.21/0.45/0.20). Side-by-side plaque and vessel wall visualization was superior for FLEXA in all readers, with moderate to substantial interreader agreement (plaque: κ = 0.73/0.73/0.77; vessel wall: κ = 0.57/0.40/0.39). DATA CONCLUSION FLEXA enhanced visualization of the cervical arterial system and improved diagnostic performance for luminal abnormalities and plaques in patients with cervical artery diseases. LEVEL OF EVIDENCE 1 TECHNICAL EFFICACY STAGE: 2.
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Affiliation(s)
- Shiori Amemiya
- Department of Radiology, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Naoyuki Takei
- MR Applications and Workflow, GE Healthcare, Tokyo, Japan
| | - Tsuyoshi Ueyama
- Department of Radiology, The University of Tokyo Hospital, Tokyo, Japan
| | - Keita Fujii
- Department of Radiology, The University of Tokyo Hospital, Tokyo, Japan
| | - Hidemasa Takao
- Department of Radiology, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Koichiro Yasaka
- Department of Radiology, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Yusuke Watanabe
- Department of Radiology, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Kouhei Kamiya
- Department of Radiology, Toho University, Tokyo, Japan
| | - Osamu Abe
- Department of Radiology, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
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Kermer P, Schellinger PD, Ringleb PA, Köhrmann M. SOP: thrombolysis in ischemic stroke under oral anticoagulation therapy. Neurol Res Pract 2022; 4:7. [PMID: 35177127 PMCID: PMC8851794 DOI: 10.1186/s42466-022-00174-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 02/11/2022] [Indexed: 11/28/2022] Open
Abstract
Introduction Based on demographical trends and the expected worldwide increase in the number of individuals with atrial fibrillation, the rate of patients who are on oral anticoagulation therapy for secondary prevention of stroke rises continuously. Despite correct drug intake and good adherence to the respective medication, recurrent ischemic stroke still occurs in ~ 3% of patients. The question how to deal with such patients with regard to intravenous thrombolysis with rt-PA within the 4.5 h time window is of great relevance for daily clinical routine. However, international guidelines can be considered heterogenous or do even lack recommendations on this topic especially in light of available reversal agents. Therefore, we provide this SOP. Comments Beyond the identification of acute stroke patients on oral anticoagulation therapy, the type of medication, time since last intake, renal function and laboratory exams as well as the availability of reversal agents have to be considered before rt-PA application and potential endovascular therapy. Treatment on a Stroke Unit or Neuro-ICU is certainly recommended in any of those patients. Conclusions This standardized operating procedure was designed to guide stroke physicians through questions on eligibility for rt-PA treatment in patients with acute ischemic stroke who are on approved oral anticoagulation therapy thereby increasing the number of patients benefitting from thrombolysis and minimizing door-to-needle times.
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Affiliation(s)
- Pawel Kermer
- Department of Neurology, Friesland Kliniken gGmbH, Campus Nordwest-Krankenhaus Sanderbusch, Am Gut Sanderbusch 1, 26452, Sande, Germany. .,Department of Neurology, University Medicine Göttingen, 37075, Göttingen, Germany.
| | - Peter D Schellinger
- Department of Neurology and Neurogeriatrics, University Hospital, Johannes Wesling Klinikum/RU Bochum, Hans-Nolte-Straße 1, 32429, Minden, Germany
| | - Peter A Ringleb
- Department of Neurology, University Hospital Heidelberg, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany
| | - Martin Köhrmann
- Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University Hospital Essen, Hufelandstrasse 55, 45147, Essen, Germany
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Siepen BM, Seiffge DJ, Fischer U. Anticoagulation after stroke: persistent uncertainties. Curr Opin Neurol 2022; 35:55-61. [PMID: 34812748 DOI: 10.1097/wco.0000000000001009] [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: 11/26/2022]
Abstract
PURPOSE OF REVIEW Direct oral anticoagulants (DOAC) are the mainstay of anticoagulant therapy for stroke prevention in patients with nonvalvular atrial fibrillation. Persistent uncertainties remain in different areas, and this review discusses current dilemmas based on selected studies. RECENT FINDINGS Optimal timing of DOAC initiation after a recent ischaemic stroke in patients with atrial fibrillation is currently unknown and subject of ongoing randomized controlled trials. Ischaemic stroke despite anticoagulant therapy in patients with atrial fibrillation is frequent, constitutes heterogeneous causes (competing stroke cause, medication error and cardioembolism despite anticoagulation) and optimal treatment is currently unknown. Thorough etiological work-up is justified. Recent randomized controlled trials found no beneficial effect of DOAC therapy in unselected patients with embolic stroke of undetermined source (ESUS). Currently ongoing trials targeting subgroup of ESUS patients with additional atrial cardiopathy will provide novel data. Cerebral mircobleeds combined in a novel risk score (MICON score) provide good predictive value to stratify the risk of intracranial haemorrhage in patients taking anticoagulants. Use of DOAC after intracerebral haemorrhage in patients with atrial fibrillation is subject of ongoing trials. SUMMARY There are still significant uncertainties in anticoagulant management in patients with stroke. Ongoing trials will soon provide novel data to improve management of these patients.
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Affiliation(s)
- Bernhard M Siepen
- Department of Neurology, Inselspital University Hospital Bern and University of Bern
- Graduate School of Health Sciences, University of Bern, Bern
| | - David J Seiffge
- Department of Neurology, Inselspital University Hospital Bern and University of Bern
| | - Urs Fischer
- Department of Neurology, Inselspital University Hospital Bern and University of Bern
- Department of Neurology, University Hospital Basel and University of Basel, Switzerland
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