| Autor: |
Colette Sih, Simeon-Pierre Choukem, Nina Lubeka, Andre-Pascal Kengne |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
Saudi Journal of Kidney Diseases and Transplantation, Vol 33, Iss 1, Pp 132-146 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
1319-2442 |
| DOI: |
10.4103/1319-2442.367806 |
| Popis: |
Undiagnosed chronic kidney disease (CKD) is common in people with diabetes mellitus. Validated noninvasive risk models are an attractive CKD screening option in diabetic patients to identify patients who are more likely to be diagnosed with CKD via biological tests. The study aimed to validate the Korean and Thai noninvasive CKD risk prediction models in African Type 2 diabetic patients. This was a hospital-based study. The Modification of Diet in Renal Disease (MDRD) and CKD Epidemiology Collaboration (CKD-EPI) equations were used to estimate the glomerular filtration rate (eGFR). CKD was defined as an eGFR |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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