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
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 riskItem Type | Dataset |
---|---|
Capture method | Compilation/Synthesis |
Collection Period |
From To 2013 2017 |
Date | 2 May 2019 |
Geographical area covered (offline during plugin upgrade) |
North Latitude East Longitude South Latitude West Longitude 13.7859 43.4222 4.51191 35.5121 |
Language(s) of written materials | English |
Creator(s) |
Regassa, LD |
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 | 17 Feb 2023 11:11 |
Publisher | PLOS ONE |
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- Data record - Figshare (Data)
- Data download – Figshare (Online Data Resource)
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ORCID: https://orcid.org/0000-0002-5461-5348
ORCID: https://orcid.org/0000-0002-9330-0621