Medicina
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Background and Objectives: Polycystic ovary syndrome (PCOS) is a complex disorder that can negatively impact the obstetrical outcomes. The aim of this study was to determine the predictive performance of four machine learning (ML)-based algorithms for the prediction of adverse pregnancy outcomes in pregnant patients diagnosed with PCOS. Materials and Methods: A total of 174 patients equally divided into 2 groups depending on the PCOS diagnosis were included in this prospective study. ⋯ Obesity was outlined as a significant predictor for gestational diabetes and fetal macrosomia, while a personal history of diabetes demonstrated a significant impact on the occurrence of all evaluated outcomes. Random forest (RF) performed the best when used to predict the occurrence of gestational diabetes (area under the curve, AUC value: 0.782), fetal macrosomia (AUC value: 0.897), and preterm birth (AUC value: 0.901) in PCOS patients. Conclusions: Complex ML algorithms could be used to predict adverse obstetrical outcomes in PCOS patients, but larger datasets should be analyzed for their validation.
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Observational Study
Lung Ultrasound Efficacy in Monitoring Post-SARS-CoV-2 Pneumonia and Inflammatory Biomarkers in Pediatric Patients.
Background and Objectives: Recognizing the crucial gaps in our understanding of pediatric pneumonia post-SARS-CoV-2 infection, this study aimed to assess the relationship between Pediatric Pneumonia Ultrasound Scores (PedPne) and inflammatory biomarkers. The primary objective of this study is to evaluate the predictive value of PedPne in comparison with inflammatory biomarkers (IL-6 and dNLR) for the development of pneumonia in pediatric patients following SARS-CoV-2 infection. Materials and Methods: This longitudinal observational study collected data from pediatric patients diagnosed with pneumonia after an acute SARS-CoV2 infection. ⋯ Regression analysis further highlighted the strong predictive power of these markers, with IL-6 showing a fourfold increase in pneumonia risk (HR = 4.25, CI: 2.07-9.53, p < 0.001), dNLR indicating more than a twofold increase (HR = 2.53, CI: 1.19-6.97, p = 0.006), and PedPne score associated with more than a doubling of the risk (HR = 2.60, CI: 1.33-5.18, p < 0.001). Conclusions: The study conclusively demonstrated that both PedPne ultrasound scores and specific inflammatory biomarkers such as dNLR and IL-6 are significant predictors of pneumonia development in pediatric patients post-COVID-19 infection. These findings advocate for the integration of these biomarkers in routine clinical assessments to enhance the diagnostic accuracy and management of pneumonia in children following SARS-CoV-2 infection.
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Background and Objectives: Chronic hepatitis C virus (HCV) infection is intricately linked with dysregulation of lipid metabolism. In particular, cholesterol plays a crucial role in HCV replication. Direct-acting antiviral agents (DAAs) therapy has revolutionized the hepatitis C treatment landscape, achieving high rates of sustained virological response (SVR). ⋯ Conclusions: This suggests a potential increased cardiovascular risk despite improvements in liver function and fibrosis, highlighting the necessity for statin therapy in some cases and extended follow-ups for these patients. These findings underscore the importance of closely monitoring lipid profiles in chronic hepatitis C patients post-SVR, as well as the potential need for statin therapy to mitigate cardiovascular risk. Additionally, extended follow-up is essential to assess long-term outcomes and ensure the optimal management of these patients.
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Background and Objectives: Facial symmetry is a key component of facial beauty and attractiveness. However, perfect symmetry is rare, and slight asymmetries, also known as natural asymmetries, are common and contribute to the uniqueness of each face. The perception of facial asymmetry varies among individuals and can be influenced by several factors. ⋯ Conclusions: One-third of participants identified dento-facial asymmetry, with the dental level being the most reported. A significant portion of participants expressed a desire to correct their asymmetries, highlighting the importance of understanding self-perception in the context of facial aesthetics. This study underscores the subjective nature of facial asymmetry perception and the varying thresholds for what is considered bothersome or in need of correction.
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Background and Objectives: Patients with atrial fibrillation and coronary artery disease represent a group with a greater risk of mortality. To evaluate patients with atrial fibrillation (AF) and a significant coronary bifurcation lesion and compare the clinical outcomes between the patients on anticoagulant treatment with Vitamin K antagonist (VKA) and those on direct anticoagulant (DOAC). Materials and Methods: This is a prospective study of patients with AF and stable coronary artery disease, who had evidence of a significant coronary bifurcation lesion. ⋯ VKA therapy was an independent predictor of cardiovascular death (HR 1.88; 95% CI 1.11-3.18; p = 0.01), together with chronic kidney disease (HR 1.81; 95% CI 1.13-2.92; p = 0.01). Conclusions: Treatment with DOAC in patients with atrial fibrillation and coronary bifurcation lesion was associated with significantly lower mortality independently of the treatment approach. VKA was an independent predictor of CV mortality.