Background: Obstructive sleep apnea (OSA), characterized by recurrent partial or complete upper airway obstructions during sleep, is an established risk factor for cardiovascular diseases in children. This study aims to determine the prevalence of left ventricular hypertrophy (LVH), abnormal left ventricular (LV) geometric patterns, and diastolic dysfunction in children with OSA and compare them with healthy controls.
Materials And Methods: This was a cross-sectional comparative study conducted on 75 eligible children with OSA aged 2-14 years and 75 age- and sex-matched healthy children.
Introduction: Predicting the conversion of clinically isolated syndrome (CIS) to clinically definite multiple sclerosis (CDMS) is critical to personalizing treatment planning and benefits for patients. The aim of this study is to develop an explainable machine learning (ML) model for predicting this conversion based on demographic, clinical, and imaging data.
Method: The ML model, Extreme Gradient Boosting (XGBoost), was employed on the public dataset of 273 Mexican mestizo CIS patients with 10-year follow-up.
Background: Intravitreal injection of anti-vascular endothelial growth factor (VEGF) agents is accepted as the gold standard treatment for center-involving diabetic macular edema (CI-DME). Adjunctive administration of topical dorzolamide may enhance the therapeutic effects of anti-VEGF agents. In this study, we compared the efficacy of topical dorzolamide plus intravitreal injection of bevacizumab (IVB) versus IVB alone in patients with bilateral DME.
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