Table 6.
First author and country/region | Total sample size | Reduced eGFR < 90 | Proxy for CKD eGFR < 60 | Reduced eGFRDEGREE < 90 | CKDuDEGREE eGFR < 60 | Associated risk factors with eGFR < 90 and < 60 |
---|---|---|---|---|---|---|
Hamilton, et al. (2020). Malawi, southeast Africa | 821 | Did not report | Did not report | 4.6% (95%CI 3.2, 6.3); n = 38 | 0.2% (95%CI 0.1, 0.9); n = 2 | Increasing age, BMI |
Ruiz-Alejos, et al. (2021). Northern Peru, Tumbes region | 1,514 total sample; 1,272 after excluding those with DM, HTN, and HP | eGFR ≥ 60 to < 90: 16.6% (95%CI 14.8, 18.6) | 1.7% (95%CI 1.1, 2.5); n = 26 | eGFR ≥ 60 to < 90: 13%; n = 165 | 0.9% (95%CI 0.4, 1.5); n = 11 | Low physical activity levels, kidney stones; sugarcane work was protective |
Ruwanpathirana, et al. (2019). Anuradhapura, Sri Lanka | 4,803 total sample; 3,351 after excluding those with DM, HTN, and HP | Did not report | 12%; n = 576 | Did not report | 6.0% (95%CI 5.2, 6.8); n = 202 | Advanced age, history of CKD among parents or siblings, living in areas classified as moderate and high CKDu-endemicity; agricultural work was not significant |
O’Callaghan-Gordo, et al. (2019). Northern and Southern Indiaa | 12,500 | Did not report | Did not report | eGFR ≥ 60 to < 90: 17.0% (95%CI 16.0, 17.0); n = 2,125 | Overall: 1.6% (95%CI 1.4, 1.9). Varied from 1.4% in northern urban areas to 4.8% southern rural | Older age, residence in a rural area, being male, and less formal education for each 5 years of school |
Western Kenya, Muhoroni Sub-County | 782 | 9.85% (95%CI 7.9, 12.2); n = 77 | 0.51% (95%CI 0.14, 1.3); n = 4 | 8.99% (95%CI 6.8, 11.5); n = 55 | 0.33% (95%CI 0.04, 1.2); n = 2 | Sublocation, increasing age, non-normal BMI, HIV positivity |
DM diabetes mellitus, HTN hypertension, HP heavy proteinuria, BMI Body Mass Index, HIV Human Immunodeficiency Virus
aData collected prospectively for other purposes but analyzed per DEGREE protocol