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Lipid Levels and Lung Cancer Risk: Findings from the Taiwan National Data Systems from 2012 to 2018.
J Epidemiol Glob Health
January 2025
Department of Internal Medicine, National Taiwan University Hospital and College of Medicine, National Taiwan University, No.7, Chung Shan S. Rd., Zhongzheng District, Taipei City, 100225, Taiwan.
Background: Lipids are known to be involved in carcinogenesis, but the associations between lipid profiles and different lung cancer histological classifications remain unknown.
Methods: Individuals who participated in national adult health surveillance from 2012 to 2018 were included. For patients who developed lung cancer during follow-up, a 1:2 control group of nonlung cancer participants was selected after matching.
Development and Validation of Machine Learning Models for Risk Prediction of Postpartum Stress Urinary Incontinence: A Prospective Observational Study.
Int Urogynecol J
January 2025
School of Nursing, Binzhou Medical University, Bincheng District, No. 522, Huanghe Third Road, Binzhou, Shandong, China.
Introduction And Hypothesis: This study aims to develop a postpartum stress urinary incontinence (PPSUI) risk prediction model based on an updated definition of PPSUI, using machine learning algorithms. The goal is to identify the best model for early clinical screening to improve screening accuracy and optimize clinical management strategies.
Methods: This prospective study collected data from 1208 postpartum women, with the dataset randomly divided into training and testing sets (8:2).
Determinants of epilepsy among outpatients in public health institutions of Dawo district, South West Shoa Zone, Oromia, Ethiopia, 2023: an institutional-based unmatched case-control study.
Front Neurol
January 2025
Department of Public Health, College of Medicine and Health Sciences, Ambo University, Ambo, Ethiopia.
Background: Globally, in ~50% of epilepsy cases, the underlying cause remains unknown, despite the fact that various disease pathways may contribute to the condition. Nearly 80% of people with epilepsy live in low- and middle-income countries and the risk of premature death in people with epilepsy is up to three times higher than that for the general population. Identifying the determinants of epilepsy is important for applying evidence-based interventions to achieve a better outcome.
View Article and Find Full Text PDFAssociations between sedentary behaviour and sarcopenia among patients aged 40 and older with chronic obstructive pulmonary disease: a cross-sectional study.
BMC Public Health
January 2025
School of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong University, 44 Wenhua Xi Road, Lixia District, Jinan, Shandong Province, China.
Background: Patients with chronic obstructive pulmonary disease (COPD) and sarcopenia experience poorer clinical prognosis. Although sedentary behaviour (SB) is common risk factor for COPD, its relationship with sarcopenia in this specific population remains unclear.
Methods: This is a cross-sectional survey of participants aged 40 and above with COPD, involving 27 communities and 2 hospitals' outpatient departments.
Development and validation of a prognostic model for critically ill type 2 diabetes patients in ICU based on composite inflammatory indicators.
Sci Rep
January 2025
Center of Health Administration and Development Studies, Hubei University of Medicine, Shiyan, China.
Type 2 diabetes mellitus (T2DM) is a chronic metabolic disorder, and critically ill patients with T2DM in intensive care unit (ICU) have an increased risk of mortality. In this study, we investigated the relationship between nine inflammatory indicators and prognosis in critically ill patients with T2DM to provide a clinical reference for assessing the prognosis of patients admitted to the ICU. Critically ill patients with T2DM were extracted from the Medical Information Mart for Intensive Care-IV (MIMIC-IV) database and divided into training and testing sets (7:3 ratio).
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