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Objective: Patients with cardiovascular disease are considered a high-risk population for heat-related illnesses. This study aimed to describe the difference in physical activity between summer and fall among patients with cardiovascular disease and their recognition of heatstroke prevention in an urban area with high temperature conditions.

Results: We enrolled 56 outpatients who participated in cardiac rehabilitation in the summer of 2022 (median age, 75 years [interquartile range, 68-80]).

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Background: The role that sleep patterns play in sepsis risk remains poorly understood.

Objectives: The objective was to evaluate the association between various sleep behaviours and the incidence of sepsis.

Methods: In this prospective cohort study, we analysed data from the UK Biobank (UKB).

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Trends in incidence, prevalence, and mortality of non-communicable diseases in Iraq (2003-2021).

BMC Public Health

January 2025

Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.

Background: Non-communicable diseases (NCDs) have become a major public health concern in Iraq, playing a significant role in the country's morbidity and mortality rates. To offer a thorough overview of the patterns and the overall impact of NCDs on public health, this study aims to map the trends in the incidence, prevalence, and mortality rates of NCDs in Iraq between 2003 and 2021.

Methods: Data from the Global Burden of Disease (GBD) Study 2021 were utilized.

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Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a primary cause of chronic liver disease, with potential progression to cirrhosis and hepatocellular carcinoma (HCC). Although systemic inflammatory biomarkers are associated with liver diseases, their specific role in MASLD remains unclear. This study examines the association between systemic inflammatory biomarkers and MASLD.

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Unobtrusive pulse rate monitoring by continuous video recording, based on remote photoplethysmography (rPPG), might enable early detection of perioperative arrhythmias in general ward patients. However, the accuracy of an rPPG-based machine learning model to monitor the pulse rate during sinus rhythm and arrhythmias is unknown. We conducted a prospective, observational diagnostic study in a cohort with a high prevalence of arrhythmias (patients undergoing elective electrical cardioversion).

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