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Background: Although some studies have shown that exercise has a good effect on improving the cardiopulmonary function of stroke patients, it still needs to be determined which exercise method does this more effectively. We, therefore, aimed to evaluate the effectiveness of different exercise methods in improving cardiovascular function in stroke patients through a network meta-analysis (NMA), providing a basis to select the best treatment plan for stroke patients.
Methods: We systematically searched CNKI, WanFang, VIP, CBM, PubMed, Embase, Web of Science, and The Cochrane Library databases from establishment to 30 April 2023. Randomized controlled trials (RCT) on exercise improving cardiopulmonary function in stroke patients were included, and we screened the included articles and extracted the relevant data. RevMan (version 5.4) and Stata (version 17.0) were used for data analysis.
Results: We included 35 RCTs and a total of 2,008 subjects. Intervention measures included high-intensity interval training (HIIT), aerobic training (AT), resistance training (RT), combined aerobic and resistance exercise (CE), and conventional therapy (CT). In the network meta-analysis, the surface under the cumulative ranking area (SUCRA) ranking result indicated that HIIT improved peak oxygen uptake (VO) and 6 mins walking distance (6MWD) optimally, with rankings of HIIT (100.0%) > CE (70.5%) > AT (50.2%) > RT (27.7%) > CT (1.6%), and HIIT (90.9%) > RT (60.6%) > AT (48.9%) > RT (48.1%) > CT (1.5%), respectively. The SUCRA ranking result showed that CE improved systolic blood pressure (SBP) and diastolic blood pressure (DBP) optimally, with rankings of CE (82.1%) > HIIT (49.8%) > AT (35.3%) > CT (32.8%), and CE (86.7%) > AT (45.0%) > HIIT (39.5%) > CT (28.8%), respectively.
Conclusion: We showed that exercise can effectively improve the cardiopulmonary function of stroke patients. HIIT was the most effective in improving VO and 6MWD in stroke patients. CE was the most effective in improving SBP and DBP in stroke patients. However, due to the limitations of existing clinical studies and evidence, larger sample size, multi-center, and high-quality RCTs are needed to verify the above conclusions in the future.
Systematic Review Registration: https://www.crd.york.ac.uk/prospero/, identifier [CRD42023436773].
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10836840 | PMC |
http://dx.doi.org/10.3389/fneur.2024.1288032 | DOI Listing |
Front Public Health
December 2024
Department of Nursing, Harbin Medical University, Harbin, China.
Objective: This study investigates the factors influencing sedentary behavior in older adult Chinese stroke patients using decision trees and logistic regression models.
Methods: Convenience sampling method was employed to enroll 346 respondents aged ≥60 years with stroke from the Department of Neurology of three tertiary-level A hospitals in Heilongjiang province, based on the inclusion criteria. The Sedentary Behavior Questionnaire for Older Adults, the International Physical Activity Questionnaire Short Form (IPAQ-S), the Pittsburgh Sleep Quality Index (PSQI), the Self-Rating Depression Scale (SDS), and the Social Support Scale (SSRS) were used to assess sedentary behavior, physical activity level, sleep quality, depressive symptoms, and social support, respectively.
J Blood Med
December 2024
Department of Pharmacy, Kathmandu University, Dhulikhel, Nepal.
Purpose: Atrial fibrillation (AF) being a prevalent cardiovascular condition globally, has an increased risk of stroke and other complications. The effective management of AF often involves the use of oral anticoagulants (OACs) to prevent thromboembolic events. This study aimed to evaluate anticoagulation knowledge and medication adherence in AF patients on OACs at a tertiary care center in Nepal.
View Article and Find Full Text PDFTex Heart Inst J
December 2024
Department of Neurology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Background: Cardiogenic stroke is associated with substantial morbidity and mortality, necessitating a better understanding of its clinical characteristics for improved patient outcomes. This study aimed to identify clinical characteristics influencing short-term functional prognosis in patients with cardiogenic stroke.
Methods: The study prospectively enrolled 212 patients with cardiogenic stroke, collecting their clinical data and laboratory results.
EClinicalMedicine
January 2025
Department of Epidemiology, NHC Key Laboratory for Health Technology Assessment, Fudan University School of Public Health, 138 Yi Xue Yuan Road, Shanghai, 200032, China.
Background: Depression is a severe mental disorder commonly co-morbid with diabetes, but it remains to elucidate whether depression is associated with the risks of a wide range of vascular complications in people with type 2 diabetes mellitus (T2DM) and whether metabolic biomarkers may mediate this pathway.
Methods: We conducted this prospective analysis among the participants of the UK Biobank who were diagnosed with T2DM and free of vascular complications at baseline between March 13, 2006 and September 30, 2010. Major depressive disorder (MDD) was ascertained according to the hospital admission records and self-report of doctor-diagnosed conditions, while the presence of depressive symptoms was assessed using the Patient Health Questionnaire-2.
Int J Gen Med
December 2024
Department of Neurology, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150080, People's Republic of China.
Background: This research utilized a combination of gene databases associated with ferroptosis and online gene expression data from ischemic stroke samples to pinpoint ferroptosis-related genes (FRGs) in ischemic stroke cases.
Methods: By employing Random Forest (RF) and Support Vector Machine (SVM) models based on these genes, an overlap of genes from both models was identified as "Hub" genes. Through consensus clustering analysis using Hub genes, two distinct clusters of FRGs were revealed in ischemic stroke samples.
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