Conectar
by Giacinto Angelo Sgarro, Paride Vasco, Domenico Santoro, Luca Grilli, Marco Giglio, Natale Daniele Brunetti, Luigi Traetta, Giuseppe Cibelli, Anna Antonia Valenzano
Sudden Cardiac Death (SCD) is a critical and unexpected condition that occurs due to cardiac causes within one hour of the onset of acute cardiovascular symptoms or twenty-four hours in unwitnessed cases. Despite advancements in cardiovascular medicine, practical methods for predicting SCD are still lacking, and there are no standardized systems to identify individuals at risk, especially in seemingly healthy populations such as athletes. In this study, we employed hierarchical clustering and principal component analysis (PCA) on data from 711 competitive athletes, revealing distinct patterns and cluster distributions in PCA space. Specifically, Clustering revealed characteristic feature combinations associated with increased SCD risk in athletes. Notably, certain clusters shared traits, including participation in Class C sports, sinus tachycardia, ventricular pre-excitation, personal or family history of heart disease, T-wave inversions, and prolonged QTc intervals. PCA helped visualize these patterns in distinct spatial regions, highlighting underlying structures and aiding intuitive risk interpretation. These results enable scientists to derive cluster metrics that serve as reference points for classifying new individuals and visually representing risk patterns in a clear graphical format. These findings establish a foundation for predictive tools that, with additional clinical validation, could aid in the prevention of SCD. The dataset used in this study, along with the clustering and PCA results, is available to the scientific community in an open format, together with the necessary tools and scripts to enable independent experimentation and further analysis.Vitamin D deficiency during pregnancy is a global health concern, contributing to adverse maternal and fetal outcomes. Despite its importance, limited data exist on vitamin D status and its determinants among pregnant women in Ethiopia. This study aimed to assess the prevalence and determinants of vitamin D deficiency among pregnant women in their first and second trimesters in Gondar Town, Ethiopia, 2024.
A facility-based cross-sectional study was conducted at the antenatal care unit of University of Gondar Comprehensive Specialized Hospital from January to March 2024.
Eligible participants were selected using a simple random sampling technique. Sociodemographic, behavioural and clinical data were collected through structured questionnaires and medical record reviews. Serum levels of vitamin D, calcium and alkaline phosphatase were analysed using the Beckman Coulter clinical chemistry analyser. Statistical comparisons between pregnant women in the first and second trimesters were performed using the independent t-test. Determinants of vitamin D deficiency were identified using multivariate logistic regression analysis.
384 pregnant women in their first or second trimester.
The prevalence of vitamin D deficiency (90 mm Hg) (AOR 0.28, 95% CI 0.11 to 0.70), lower dietary diversity (AOR 3.17, 95% CI 1.13 to 8.89), lower fish and fish oil consumption habit (AOR 3.01, 95% CI 1.03 to 8.77; AOR 12.27, 95% CI 1.50 to 100.42) were the key predictors associated with serum vitamin D defiency.
Nearly half of the pregnant women in Gondar Town exhibit vitamin D deficiency, showing a challenging public health concern. Thus, targeted interventions, such as dietary supplementation and lifestyle modifications, are urgently needed to address the problem and improve maternal and neonatal health outcomes.
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