Aims: Our study examined changes in average blood glucose levels (ABG), measurement frequency (MF), and data uploading (DU) before and during the COVID-19 pandemic in 882-day spans, which were divided into further 20-week intervals to highlight the pandemic's impact.
Methods: T-Tests assessed the statistical significance of blood glucose data from 26,655/20,936 patients and 19.5/16.
J Diabetes Complications
October 2023
Aims: The aim of the article is to describe the method for creating a close to ideal diabetes database. The MÉRY Diabetes Database (MDD) consists of a large quantity of reliable, well-maintained, precise and up-to-date data suited for clinical research with the intention to improve diabetes care in terms of maintaining targeted blood glucose levels, avoiding hypoglycemic episodes and complications and improving patient compliance and quality of life.
Methods: Based on the analysis of the databases found in the literature and the experience of our research team, nine important characteristics were identified as critical to an ideal diabetes database.
Objective: The devices to be used in clinical practice should be tested for accuracy and should be validated through the validation protocol. The aim of this study was to determine the accuracy of the Meditech-ABPM-06 ambulatory blood pressure monitor.
Materials And Methods: The test was carried out in accordance with the protocol established by the European Society of Hypertension (ESH-IP), the British Hypertension Society, and the ANSI/AAMI/ISO 81060-2-2013 protocols.
Aims: To assess circadian blood pressure variability in people with impaired glucose tolerance and a healthy control population.
Methods: Seventy-five people with impaired glucose tolerance and 40 healthy volunteers (frequency matched on 10-year age bands and sex) underwent a detailed neurological assessment. Autonomic neuropathy was detected by the five standard cardiovascular autonomic tests and heart rate variability was characterized by the triangle index.