Publications by authors named "M A Isakov"
Background: Patients with diabetes mellitus (DM) are at risk for a higher incidence and severity of COVID-19, as well as its adverse outcomes, including post-Covid syndrome.
Aim: to assess the incidence of cardiorenal complications in patients with type 1 and type 2 diabetes (T1DM/T2DM) who have had COVID-19, and to analyze the structure and severity of disorders according to examination data at the Diamobil mobile medical diagnostic and treatment center.
Materials And Methods: a cohort of T1DM and T2DM patients examined in Diamobil (n=318), with a confirmed anamnesis of COVID-19 (n=236).
Present-day people from England and Wales have more ancestry derived from early European farmers (EEF) than did people of the Early Bronze Age. To understand this, here we generated genome-wide data from 793 individuals, increasing data from the Middle to the Late Bronze Age and Iron Age in Britain by 12-fold, and western and central Europe by 3.5-fold.
View Article and Find Full Text PDFSurveys are a crucial tool for understanding public opinion and behaviour, and their accuracy depends on maintaining statistical representativeness of their target populations by minimizing biases from all sources. Increasing data size shrinks confidence intervals but magnifies the effect of survey bias: an instance of the Big Data Paradox. Here we demonstrate this paradox in estimates of first-dose COVID-19 vaccine uptake in US adults from 9 January to 19 May 2021 from two large surveys: Delphi-Facebook (about 250,000 responses per week) and Census Household Pulse (about 75,000 every two weeks).
View Article and Find Full Text PDFArticle Synopsis
- The registry serves as a key resource for understanding acromegaly patients in the Russian Federation, focusing on their demographics and treatment outcomes.
- Analysis of a database with 4114 acromegaly patients revealed that 32% achieved full clinical remission, while 68% did not, with some showing improvement but not complete remission.
- The study also noted an increase in neurosurgical treatments from 2012 to 2019, with remission rates differing based on treatment type (40.47% for surgery vs. 28.95% for medical therapy), highlighting evolving treatment practices in managing the disease.
Background: Data on the national level and worldwide show a higher rate of mortality in patients with diabetes mellitus (DM) due to COVID-19, which determines the high relevance of risk factor analysis for outcomes in DM patients to substantiate the strategy for this category of patients.
Aim: To assess the effect of clinical and demographic parameters (age, gender, body mass index (BMI), glycemic control (HbA1c), and antidiabetic and antihypertensive drugs, including ACE inhibitors and ARBs) on clinical outcomes (recovery or death) in patients with type 2 DM.
Materials And Methods: A retrospective analysis of the Russian Register of Diabetes database was performed, including patients with type 2 DM (n=309) who suffered pneumonia/COVID-19 in the period from 01.