This technique-focused observational study explores the impact of a 6-week Nordic Walking (NW) program on physiological and biomechanical aspects in ischemic heart disease (IHD) patients. Twelve male IHD patients (66.2 ± 5.2 years, 12.2 ± 7.5 years of disease duration) were evaluated pre- and post-training for (i) gait parameters, (ii) exercise tolerance using electrocardiographic (ECG) stress test, (iii) a 6-min walk test (6MWT). The NW training, adhering to IHD patient guidelines, involved a 100-m walk at a self-selected, preferred speed without sticks, with classic NW sticks and mechatronic sticks. A mechatronic measuring system, specifically engineered for measuring, diagnosing and monitoring the patient's gait, was integrated into mechatronic sticks. Post-training, significant enhancements were observed in ECG stress test duration, metabolic equivalency, and 6MWT distance, irrespective of the stick type. However, no significant changes were noted in spatiotemporal parameters concerning the measured side, stick utilisation, or type. The results suggest that NW training boosts exercise capacity and refines gait mechanics in male IHD patients. However, the improvement in exercise capacity was not linked to changes in gait mechanics from NW training but rather to the movement during NW gait. Hence, the key to enhancing exercise capacity in IHD patients is the movement during NW gait, not the quality of gait mechanics.
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http://dx.doi.org/10.1038/s41598-024-62109-9 | DOI Listing |
PLoS One
January 2025
Nursing & Midwifery Research Department (NMRD), Hamad Medical Corporation, Doha, Qatar.
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Methods: We used data from the CDC WONDER database from 1999-2020 to identify trends in the IHD-related mortality of patients ≥ 75 years in the US. AAMRs per 100,000 population and APC were calculated and categorized by year, sex, race, and geographic divisions.
Lancet Reg Health West Pac
January 2025
Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
Background: Existing studies have not provided robust evidence about the CVD risk of non-smoking patients with restrictive spirometric pattern (RSP) or airflow obstruction (AFO), and how the risk is modified by body shape. We aimed to bridge the gap.
Methods: We used never-smokers' data from the China Kadoorie Biobank (CKB) and performed Cox models by sex (278,953 females and 50,845 males).
Iran J Med Sci
December 2024
Cardiovascular Research Center, Kerman University of Medical Sciences, Kerman, Iran.
Background: The relationship between diastolic function parameters and the severity of coronary artery disease (CAD) is controversial. This study aimed to determine the relationship between left ventricular diastolic function and the severity of CAD.
Methods: This cross-sectional study included 63 patients with Ischemic heart disease (IHD) or those suspected of having IHD, who underwent angiography.
Digit Health
January 2025
School of Computer Science, The University of Sydney, Sydney, NSW, Australia.
Objective: Machine learning (ML) has enabled healthcare discoveries by facilitating efficient modeling, such as for cancer screening. Unlike clinical trials, real-world data used in ML are often gathered for multiple purposes, leading to bias and missing information for a specific classification task. This challenge is especially pronounced in healthcare because of stringent ethical considerations and resource constraints.
View Article and Find Full Text PDFAtherosclerosis
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Rehabilitation Division, Sheba Medical Center, Tel-Hashomer, Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Background And Aims: Several systemic autoimmune diseases predispose to the enhancement of Atherosclerotic Cardiovascular Disease (ASCVD). These findings underline the role of inflammation in atherogenesis. Dermatomyositis (DM) and polymyositis (PM) are polygenic autoimmune disorders involving mainly skeletal muscles.
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