Differences in ischemic heart disease between males and females using predictive artificial intelligence models DOI Open Access
Muayyad Ahmad, Salam Bani Hani

Electronic Journal of General Medicine, Год журнала: 2024, Номер 21(5), С. em607 - em607

Опубликована: Сен. 19, 2024

<b>Background: </b>Cardiovascular health and preventative strategies are influenced by the sex of individuals. To forecast cardiac events or detect ischemic heart disease (IHD) early, machine-learning algorithms can analyze complex patient data patterns. Early detection allows for lifestyle changes, medication management, invasive treatments to slow progression improve outcomes.<br /> <b>Aim</b>: compare predict differences in primary sources IHD burden between males females various age groups, geographical regions, death versus alive, comorbidity levels.<br <b>Methods: </b>A predictive retrospective design was implemented this study. Electronic records were extracted, which equally distributed among with IHD. The dataset consisted patients who admitted 2015 2022. Two eight models generated Modeler software study: Bayesian network model, achieved highest area under curve score (0.600), Chi-squared automatic interaction (CHAID) overall accuracy (57.199%).<br <b>Results: </b>The study sample included 17,878 men women, 58% whom had no comorbidities 1.7% died. Age, Charlson index score, location all predicted IHD, but more influential. analysis showed that odds 40-59 60-79, mortality risk 80-100. North south Jordan higher rates middle-aged from north middle governorates according CHAID.<br <b>Conclusion: </b>By using artificial intelligence, clinicians outcomes, treatment quality, save lives fight against cardiovascular illnesses. patterns outcomes.

Язык: Английский

Preservation of Vascular Endothelial Function in Late-Onset Postmenopausal Women DOI
Sanna Darvish, Kevin Murray, Katelyn R. Ludwig

и другие.

Circulation Research, Год журнала: 2025, Номер unknown

Опубликована: Янв. 31, 2025

BACKGROUND: Postmenopausal women (PMW) who complete menopause at a late age (55+ years) have lower cardiovascular disease risk than PMW normal (45–54 years). However, the influence of late-onset on vascular endothelial dysfunction is unknown. Moreover, mechanisms by which later may modulate function remain to be determined. METHODS: We measured (brachial artery flow-mediated dilation [FMD BA ]) in age-matched late- and normal-onset young premenopausal reference group. determined mitochondrial reactive oxygen species (mitoROS)–related suppression (change FMD with an acute dose mitochondria-targeted antioxidant MitoQ; ΔFMD BA, MTQ ) PMW. The effects serum from mitoROS bioactivity human aortic cells culture were assessed. Metabolomics analyses combination metabolite level normalization cell exposure experiments performed identify circulating factors contributing bioactivity. RESULTS: was women. >50% higher versus positively related menopause. Serum but not induced compared negatively Seventeen metabolites significantly differed between PMW; 15 lipid specific; 8 triglyceride derived. TG(16:0) most strongly correlated Normalization concentrations match levels abrogated differences serum-treated cells. CONCLUSIONS: Late-onset associated preservation function, mediated mitoROS-associated oxidative stress. A more favorable profile metabolites, specifically triglyceride-derived contributes These findings provide new insight into possible reduced

Язык: Английский

Процитировано

1

Apparently Healthy Young Black Adults Report Lower Total Fluid Intake and Exhibit Higher Plasma Copeptin than Young White Adults DOI
Nina L. Stute, Braxton A. Linder,

Sofia O. Sanchez

и другие.

Nutrition Research, Год журнала: 2025, Номер unknown

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Association Between Mediterranean Diet and Other Healthy Habits and Sociodemographic Variables with the Values of Vascular and Heart Age in Spanish Workers DOI Open Access
Natalia Montero Muñoz, Pedro Juan Tárraga López, Ángel Arturo López‐González

и другие.

Nutrients, Год журнала: 2025, Номер 17(5), С. 903 - 903

Опубликована: Март 5, 2025

Introduction: The assessment of cardiovascular risk has traditionally relied on validated scales designed to estimate the likelihood experiencing a event within specific timeframe. In recent years, novel methodologies have emerged, offering more objective evaluation this through indicators such as vascular age (VA) and heart (HA). Objective: This study aimed investigate relationship between sociodemographic factors, lifestyle behaviors, their impact VA HA. Materials Methods: A dual design, encompassing both cross-sectional longitudinal retrospective approaches, was conducted among cohort employees. variables assessed included characteristics (age, sex, socioeconomic status) health-related habits (smoking, physical activity, adherence Mediterranean diet, alcohol consumption). Results: findings revealed that all analyzed were significantly associated with elevated HA values. Among these, demonstrated strongest association, odds ratios (OR) 114.91 (95% CI: 100.45-131.43) for high 34.48 31.41-37.56) VA. Conclusions: profile individuals most at encompasses males advanced age, characterized by low status, sedentary lifestyle, poor regular consumption.

Язык: Английский

Процитировано

0

Multidimensional health status and its impact on health care consumption behavior among elderly people with chronic diseases: evidence from CHARLS in China DOI Creative Commons
Qi Wang, Yuanyuan Zhang, Xin Miao

и другие.

Frontiers in Psychology, Год журнала: 2025, Номер 16

Опубликована: Апрель 16, 2025

Purpose This study aims to provide a comprehensive understanding of the multidimensional health status elderly individuals with chronic diseases in China and examine its impact on their healthcare consumption behavior. Methods A chi-square test was conducted assess variations behavior across different categories. Additionally, logistic regression model employed identify key determinants influencing among from perspective. Results The results indicated statistically significant association between ( p &lt; 0.05). Furthermore, analysis identified dyslipidemia, regular participation social activities, children’s financial support (≥¥5,801 yuan per year) as contributors conditions Conclusion findings this suggest that both physical play positive role enhancing These highlight importance targeted policy interventions integrate management engagement strategies improve accessibility utilization population.

Язык: Английский

Процитировано

0

Differences in ischemic heart disease between males and females using predictive artificial intelligence models DOI Open Access
Muayyad Ahmad, Salam Bani Hani

Electronic Journal of General Medicine, Год журнала: 2024, Номер 21(5), С. em607 - em607

Опубликована: Сен. 19, 2024

<b>Background: </b>Cardiovascular health and preventative strategies are influenced by the sex of individuals. To forecast cardiac events or detect ischemic heart disease (IHD) early, machine-learning algorithms can analyze complex patient data patterns. Early detection allows for lifestyle changes, medication management, invasive treatments to slow progression improve outcomes.<br /> <b>Aim</b>: compare predict differences in primary sources IHD burden between males females various age groups, geographical regions, death versus alive, comorbidity levels.<br <b>Methods: </b>A predictive retrospective design was implemented this study. Electronic records were extracted, which equally distributed among with IHD. The dataset consisted patients who admitted 2015 2022. Two eight models generated Modeler software study: Bayesian network model, achieved highest area under curve score (0.600), Chi-squared automatic interaction (CHAID) overall accuracy (57.199%).<br <b>Results: </b>The study sample included 17,878 men women, 58% whom had no comorbidities 1.7% died. Age, Charlson index score, location all predicted IHD, but more influential. analysis showed that odds 40-59 60-79, mortality risk 80-100. North south Jordan higher rates middle-aged from north middle governorates according CHAID.<br <b>Conclusion: </b>By using artificial intelligence, clinicians outcomes, treatment quality, save lives fight against cardiovascular illnesses. patterns outcomes.

Язык: Английский

Процитировано

1