Time to acute kidney injury and its predictors among newly diagnosed Type 2 diabetic patients at government hospitals in Harari Region, East Ethiopia. S1 Data

Regassa, LD

; Gete, YK and Mekonnen, FA

(2019). Time to acute kidney injury and its predictors among newly diagnosed Type 2 diabetic patients at government hospitals in Harari Region, East Ethiopia. S1 Data. [Dataset]. PLOS ONE. https://doi.org/10.1371/journal.pone.0215967.s001

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This is the data set of a study of AKI incidence and its associated factors among Type 2 Diabetic patients.

Keywords

Type 2 Diabetes; Kidneys; Diabetes mellitus; Epidemiology; Obesity; Chronic kidney disease; Ethiopia; Type 2 diabetes risk

Item Type	Dataset
Resource Type	Resource Type Resource Description Dataset Quantitative
Capture method	Compilation/Synthesis
Collection Period	From To 2013 2017
Date	2 May 2019
Geographical area covered (offline during plugin upgrade)	North East South West 13.7859 43.4222 4.51191 35.5121
Language(s) of written materials	English
Creator(s)	Regassa, LD ; Gete, YK and Mekonnen, FA
LSHTM Faculty/Department	Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology (-2023)
Participating Institutions	London School of Hygiene & Tropical Medicine, London, United Kingdom
Date Deposited	17 Feb 2023 11:11
Last Modified	12 Feb 2026 13:20
Publisher	PLOS ONE