How to evaluate over 60 million blood glucose data - The design of the MÉRY Diabetes Database.

Autor: Hermányi Z; Bajcsy-Zsilinszky Hospital and Clinic, 1106 Budapest, Maglódi út. 89-91, Hungary. Electronic address: hermanyi.zsolt@bajcsy.hu., Csiki V; Department of Obstetrics and Gynecology, Semmelweis University, 1082 Budapest, Üllői út 78/A, Hungary., Menyhárt A; Semmelweis University, Faculty of Medicine, 1085 Budapest, Üllői út 26, Hungary., Osgyán K; Semmelweis University, Faculty of Medicine, 1085 Budapest, Üllői út 26, Hungary., Körei A; Department of Medicine and Oncology, Semmelweis University, 1083 Budapest, Korányi Sándor u. 2/a, Hungary., Istenes I; Department of Medicine and Oncology, Semmelweis University, 1083 Budapest, Korányi Sándor u. 2/a, Hungary., Putz Z; Department of Medicine and Oncology, Semmelweis University, 1083 Budapest, Korányi Sándor u. 2/a, Hungary., Benhamida A; BioTech Research Center, Obuda University, 1034 Budapest, Bécsi út 96/b, Hungary. Electronic address: benhamida.abdallah@nik.uni-obuda.hu., Berey A; Di-Care Zrt., 1119 Budapest, Mérnök utca 12-14, Hungary. Electronic address: attila.berey@dicare.hu., Hetthéssy J; Department of Obstetrics and Gynecology, Semmelweis University, 1082 Budapest, Üllői út 78/A, Hungary., Varbiro S; Department of Obstetrics and Gynecology, Semmelweis University, 1082 Budapest, Üllői út 78/A, Hungary., Kozlovszky M; BioTech Research Center, Obuda University, 1034 Budapest, Bécsi út 96/b, Hungary. Electronic address: kozlovszky.miklos@nik.uni-obuda.hu., Kempler P; Department of Medicine and Oncology, Semmelweis University, 1083 Budapest, Korányi Sándor u. 2/a, Hungary. Electronic address: kempler.peter@med.semmelweis-univ.hu.
Jazyk: angličtina
Zdroj: Journal of diabetes and its complications [J Diabetes Complications] 2023 Oct; Vol. 37 (10), pp. 108586. Date of Electronic Publication: 2023 Aug 15.
DOI: 10.1016/j.jdiacomp.2023.108586
Abstrakt: 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. The data for our database is collected using MÉRYkék glucometers, a device that meets all requirements of international regulations and measures blood glucose levels within the normal range with appropriate precision (10 %).
Results: Using the key characteristics defined, we were able to create a database suitable for the analysis of a large amount of data regarding diabetes care and outcomes.
Conclusions: The MDD is a reliable and ever growing database which provides stable and expansive foundation for extensive clinical investigations that hold the potential to significantly influence the trajectory of diabetes care and enhance patient outcomes.
Competing Interests: Declaration of competing interest The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The work was supported by the Hungarian Diabetes Association, and is part of a PhD thesis.
(Copyright © 2023. Published by Elsevier Inc.)
Databáze: MEDLINE
Externí odkaz: