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Aim: To identify predictors and construct a model for predicting left ventricular (LV) ejection fraction (EF) in patients with ST-segment elevation myocardial infarction (STEMI).
Material And Methods: This was a prospective registry study of patients with STEMI admitted within the first 24 hours of the disease onset. Patients were evaluated and treated according to the current clinical guidelines.
Regional Coleoptera Fauna: Applying Different Methods to Study Species Diversity in a Single Region.
Insects
November 2024
Joint Directorate of the Mordovia State Nature Reserve and National Park "Smolny", 430005 Saransk, Russia.
In order to study regional faunas, one or two methods of studying Coleoptera are often used. However, a comparison of several ways of studying shows that it is more expedient to use more than one of them. Six different methods of catching Coleoptera used in studies of the biodiversity of regional faunas were compared.
View Article and Find Full Text PDF[Granulomatosis with polyangiitis. Analysis of two clinical cases from the practice of an otorhinolaryngologist].
Vestn Otorinolaringol
December 2024
Pavlov Ryazan State Medical University, Ryazan, Russia.
The article presents an analysis of 2 clinical cases of granulomatosis with polyangiitis from the practice of an otorhinolaryngologist. In the first case, the pathology manifested with lesions of the middle ear and nose. In the second case, in addition to manifestations from the nose and the ear, there was a lesion of the larynx.
View Article and Find Full Text PDFImproved prediction of swimming talent through random forest analysis of anthropometric and physiological phenotypes.
Phenomics
October 2024
School of Kinesiology, Shanghai University of Sport, Qingyuanhuan Road, #650, Yangpu District, Shanghai, 200438 China.
Unlabelled: The field of competitive swimming lacks broadly applicable predictive models for talent identification across various age groups of adolescent swimmers. This study aimed to construct a predictive model for athletic talent using machine learning methods based on anthropometric and physiological data. Baseline data were collected from 5444 participants aged 10-18 in Shanghai, China, between 2015 and 2018, with 4969 completing a 3-year follow-up.
View Article and Find Full Text PDF[Characteristics of postmortem changes in the brain].
Sud Med Ekspert
December 2024
National Medical Research Center for Obstetrics, Gynecology and Perinatology named after Academician V.I. Kulakov, Moscow, Russia.
The study aimed to analyze the literature data on postmortem changes in the brain and their use to determine the time since death. The earliest manifestations of brain cell autolysis are detected by electron microscopy (15-20 minutes after death). The longer the postmortem period, the more morphofunctional changes in the brain are revealed by histological, histochemical, and immunohistochemical studies.
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