Air pollution, a global health hazard, significantly impacts mortality, cardiovascular health, mental well-being, and overall human health. This study aimed to investigate the impact of air pollution and meteorological factors on cardiovascular mortality rates in Mashhad City, northeastern Iran in 2017-2020. We utilized a Random Forest (RF) model in this study. We gathered daily meteorological data (pressure, humidity, temperature, solar radiation) from 2017 to 2020, pollutant levels (PM, PM, SO, NO, CO), and cardiovascular mortality data from the Health System Registration (Sina). The RF model was then applied in Excel and Python to analyze the interplay between these variables. we found that time, air pressure, and temperature significantly impacted cardiovascular mortality. Among pollutants, NO and SO were the most influential. Overall, meteorological factors had a greater impact than pollutants.Furthermore, we discovered that cardiovascular mortality increased with time, higher air pressure, colder seasons, and higher temperatures. Among pollutants, CO, NO, SO, PM, and PM significantly impacted mortality rates. These findings highlight the importance of understanding the relationship between diseases, climatic factors, and pollution. Environmental factors like climate change and air pollution play a significant role in cardiovascular mortality. Therefore, it is vital for individuals, especially those with heart conditions, to pay attention to weather alerts.
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http://dx.doi.org/10.1038/s41598-024-83185-x | DOI Listing |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11682359 | PMC |
Sci Rep
December 2024
National Centre for Diseases Prevention and Health Promotion, Istituto Superiore di Sanità, Rome, Italy.
This study aimed to calculate Italy's first national maternal mortality ratio (MMR) through an innovative record-linkage approach within the enhanced Italian Obstetric Surveillance System (ItOSS). A record-linkage retrospective cohort study was conducted nationwide, encompassing all women aged 11-59 years with one or more hospitalizations related to pregnancy or pregnancy outcomes from 2011 to 2019. Maternal deaths were identified by integrating data from the Death Registry and national and regional Hospital Discharge Databases supported by the integration of findings from confidential enquiries conducted through active surveillance.
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December 2024
Department of Applied Mathematics, Faculty of Mathematical Science, Ferdowsi University of Mashhad, Mashhad, Iran.
This study presents a web application for predicting cardiovascular disease (CVD) and hypertension (HTN) among mine workers using machine learning (ML) techniques. The dataset, collected from 699 participants at the Gol-Gohar mine in Iran between 2016 and 2020, includes demographic, occupational, lifestyle, and medical information. After preprocessing and feature engineering, the Random Forest algorithm was identified as the best-performing model, achieving 99% accuracy for HTN prediction and 97% for CVD, outperforming other algorithms such as Logistic Regression and Support Vector Machines.
View Article and Find Full Text PDFBackground: It is essential to understand factors influencing young adult cardiovascular health (CVH) to reduce morbidity and mortality.
Objective: Evaluate longitudinal changes in CVH among young adults in a weight management intervention.
Methods: Life's Essential 8 (LE8) metrics were calculated for young adults with overweight and obesity enrolled in a randomized controlled trial (n = 459).
Plast Reconstr Surg
December 2024
Department of Plastic and Reconstructive Surgery.
Background: Dupuytren's disease (DD) is a type of fibroproliferative disease that involves the palmar aspect of the hand. Although many benign fibroproliferative diseases have been shown to increase the risk of cardiovascular disease, the relationship between DD and myocardial infarction (MI) or stroke has not been fully elucidated.
Methods: A total of 35,909 patients with DD and a control cohort with 1,077,270 age- and sex-matched participants from the Korean National Health Insurance database were included.
Kardiol Pol
December 2024
Department of Cardiology, Rigshospitalet, Copenhagen, Denmark.
Cardiogenic shock (CS) in women is a serious cardiovascular (CV) event associated with a high mortality rate. Non-ischemic etiologies are the most common etiologies in women, such as stress-induced cardiomyopathy, peripartum/postpartum cardiomyopathy, heart failure-related CS, or CS due to myocarditis or valvular heart disease. Although not being the most common etiology in women, acute myocardial infarction is still an important one.
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