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
; 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 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 |
No files available. Please consult associated links.
