A synergistic effect of variability in estimated glomerular filtration rate with chronic kidney disease on all-cause mortality prediction in patients with type 2 diabetes: a retrospective cohort study

Autor:	Yu-Shan Chang, Yu-Hsuan Li, I-Te Lee
Jazyk:	angličtina
Rok vydání:	2021
Předmět:	Annual Chronic kidney disease Estimated glomerular filtration Mortality Standard deviation Type 2 diabetes Diseases of the circulatory (Cardiovascular) system RC666-701
Zdroj:	Cardiovascular Diabetology, Vol 20, Iss 1, Pp 1-12 (2021)
Druh dokumentu:	article
ISSN:	1475-2840
DOI:	10.1186/s12933-021-01399-z
Popis:	Abstract Background The combination of diabetes mellitus (DM) and chronic kidney disease (CKD) is associated with a high risk of mortality. Annual assessment of the estimated glomerular filtration rate (eGFR) is recommended for patients with DM. We investigated the effect of variability in annual eGFR values on all-cause mortality in patients with type 2 DM. Methods In this retrospective cohort study, we enrolled patients with eGFR data between 01 Aug 2017 and 31 July 2018. We defined the index eGFR as the first available eGFR value within the enrollment year and collected additional annual eGFR data from the previous three years. A total of 3592 patients with type 2 DM were enrolled, including 959 patients with CKD (index eGFR 60 mL/min/1.73 m2.
Databáze:	Directory of Open Access Journals
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