Publications by authors named "E I Tarlovskaya"
Article Synopsis
- The study aimed to identify why patients with chronic heart failure (CHF) in Russia have a poor prognosis, using data from various population samples and medical records over several years.
- It established the prevalence of CHF in the Russian population, finding that 8.2% of individuals meet soft criteria for CHF, while 3.1% met strict criteria, with significant influences from conditions like hypertension and ischemic heart disease.
- The prognosis for these patients is grim, with over half dying within four years after acute decompensated heart failure (ADHF), and most patients with severe CHF not surviving beyond ten years, primarily due to inadequate medication use and poor patient follow-up.
Pericarditis as an inflammatory heart disease is rarely discussed in the cardiology community. The latest European guidelines on pericarditis were published in 2015, and Russian clinical guidelines are dated 2022. However, in recent years, a number of publications have appeared that have forced the scientific community to take a fresh look at this problem.
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- The study aimed to analyze clinical data from patients with non-obstructive ischemic heart disease (IHD) and multifocal atherosclerosis (MFA) in the KAMMA registry, focusing on those who underwent coronary angiography (CAG).
- Out of 1,893 IHD patients, only 8.7% had non-obstructive coronary atherosclerosis (CA), with many affected by MFA in various arteries, especially the brachiocephalic and lower extremity arteries.
- Patients with non-obstructive CA, predominantly women, had fewer traditional risk factors like smoking and diabetes, but higher cholesterol levels; they also experienced less severe IHD and acute coronary syndrome compared to those with obstructive
Predicting outcomes of the acute phase of COVID-19. High sensitive prognostic model, based on the results of the international registry "analysis of chronic non-infectious diseases dynamics after COVID-19 infection in adult patients" (ACTIV).
Heliyon
April 2024
Article Synopsis
- - The study aimed to analyze the acute phase of COVID-19 in hospitalized patients and create a prognostic scale for assessing their risk of death.
- - It involved 9,364 patients from 26 medical centers across seven countries, using a machine learning model called "Random Forest" to identify key factors related to in-hospital mortality.
- - The resulting ACTIV scale, developed from 11 significant variables, showed a strong predictive ability with 89.2% accuracy, aiding clinicians in evaluating the prognosis of COVID-19 patients.
This Expert Council focuses on the meta-analysis of studies on the risk of atrial fibrillation (AF) in patients taking omega-3 polyunsaturated fatty acids (PUFA) and of data on the omega-3 PUFA treatment in patients with cardiovascular and kidney diseases.The major statements of the Expert Council: the meta-analysis of AF risk in patients taking omega-3 PUFA showed an increased risk of this arrhythmia. However, it should be taken into account that the risk of complications was low, and there was no significant increase in the risk of AF when omega-3 PUFA was used at a dose of ≤1 g and a standard dose of the only omega-3 PUFA drug registered in the Russian Federation, considering all AF episodes in the ASCEND study.
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