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Use of the FHTHWA Index as a Novel Approach for Predicting the Incidence of Diabetes in a Japanese Population Without Diabetes: Data Analysis Study.
JMIR Med Inform
January 2025
Department of Endocrinology and Metabolism, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Background: Many tools have been developed to predict the risk of diabetes in a population without diabetes; however, these tools have shortcomings that include the omission of race, inclusion of variables that are not readily available to patients, and low sensitivity or specificity.
Objective: We aimed to develop and validate an easy, systematic index for predicting diabetes risk in the Asian population.
Methods: We collected the data from the NAGALA (NAfld [nonalcoholic fatty liver disease] in the Gifu Area, Longitudinal Analysis) database.
Silicosis prevalence and related issues in India: a scoping review.
J Occup Med Toxicol
January 2025
Indian Council of Medical Research-National Institute for Implementation Research on Non-Communicable Diseases, Jodhpur, 342005, India.
Background: Silicosis remains a major occupational health challenge in India. This review systematically examines the prevalence, risk factors, regional differences, and diagnostic tools specific to India's high-risk industries. Additionally, it assesses policy gaps and offers insights from diverse clinical and qualitative studies, aiming to inform targeted public health interventions and support the development of effective occupational health policies.
View Article and Find Full Text PDFAI-based analysis of fetal growth restriction in a prospective obstetric cohort quantifies compound risks for perinatal morbidity and mortality and identifies previously unrecognized high risk clinical scenarios.
BMC Pregnancy Childbirth
January 2025
Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, University of Utah Health, 30 N. Mario Capecchi Dr., Level 5 South, Salt Lake City, UT, 84132, USA.
Background: Fetal growth restriction (FGR) is a leading risk factor for stillbirth, yet the diagnosis of FGR confers considerable prognostic uncertainty, as most infants with FGR do not experience any morbidity. Our objective was to use data from a large, deeply phenotyped observational obstetric cohort to develop a probabilistic graphical model (PGM), a type of "explainable artificial intelligence (AI)", as a potential framework to better understand how interrelated variables contribute to perinatal morbidity risk in FGR.
Methods: Using data from 9,558 pregnancies delivered at ≥ 20 weeks with available outcome data, we derived and validated a PGM using randomly selected sub-cohorts of 80% (n = 7645) and 20% (n = 1,912), respectively, to discriminate cases of FGR resulting in composite perinatal morbidity from those that did not.
Mechanistic insights and approaches for beta cell regeneration.
Nat Chem Biol
January 2025
Department of Medical Cell Biology, Uppsala University, Biomedical Centre, Uppsala, Sweden.
Diabetes is characterized by variable loss of insulin-producing beta cells, and new regenerative approaches to increasing the functional beta cell mass of patients hold promise for reversing disease progression. In this Review, we summarize recent chemical biology breakthroughs advancing our knowledge of beta cell regeneration. We present current chemical-based tools, sensors and mechanistic insights into pathways that can be targeted to enhance beta cell regeneration in model organisms.
View Article and Find Full Text PDFTrends and determinants of maternal health services utilization in India from 2015 to 2021.
Sci Rep
January 2025
Department of Public Health and Community Medicine, Central University of Kerala, Tejaswini Hills, Periya, Kasaragod, Kerala, 671320, India.
Continuum of care (CoC) in maternal health services refers to a pathway spanning from pregnancy and childbirth to post-pregnancy, covering routine antenatal care (ANC), institutional delivery (ID), and post-natal services (PNC). The current study aims to investigate the distribution, trends, dropouts, and determinants of maternal health services (ANC, ID, and PNC) utilization along the CoC pathway using NFHS-4 and NFHS-5 datasets from 2015 to 2021. The binary logistic regression examined the association between the continuum of maternal health services utilization and the predictor variables.
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