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Abstract: TH-PO1051

Risk Factors for Albuminuria and Reduced eGFR in Sub-Saharan Africans: Findings from the H3Africa Kidney Disease Research Network Project

Session Information

Category: CKD (Non-Dialysis)

  • 1901 CKD (Non-Dialysis): Epidemiology, Risk Factors, and Prevention


  • Raji, Yemi R., University of Ibadan and University College Hospital, Ibadan, Oyo State, Nigeria, Ibadan, Nigeria
  • Osafo, Charlotte, University of Ghana Medical School, ACCRA, Ghana
  • Mamven, Manmak, University of Abuja Teaching Hospital, Abuja, Abuja, Nigeria
  • Olanrewaju, Timothy Olusegun, University of Ilorin and University of Ilorin Teaching Hospital, Ilorin, Kwara State, Nigeria
  • Ilori, Titilayo O., Emory University School of Medicine, Chandler, Arizona, United States
  • Kumar, Shikhar, The university of arizona, Tucson, Arizona, United States
  • Adeyemo, Adebowale A., National Institutes of Health, Bethesda, Maryland, United States
  • Gbadegesin, Rasheed A., Duke University Medical Center, Durham, North Carolina, United States
  • Parekh, Rulan S., The Hospital For Sick Children, Toronto, Ontario, Canada
  • Salako, Babatunde L., College of Medicine, University of Ibadan, Ibadan, Nigeria
  • Adu, Dwomoa, University of Ghana, Accra, Ghana
  • Ojo, Akinlolu O., University of Arizona Health Sciences, Tucson, Arizona, United States

Group or Team Name

  • H3Africa Kidney Disease Research Project

Chronic kidney disease (CKD) in sub-Saharan Africa (SSA) is among the most common non–communicable diseases ravaging the sub-continent. Data on comprehensive epidemiology of CKD phenotypes and genotypes are lacking from the region. The H3Africa Kidney Disease Research Network (H3Africa KDRN) was established to develop the first Pan-African study in CKD and to rapidly build capacity for genomic studies of kidney disease in Africa. The objective of this analysis was to characterize risk factors associated with albuminuria and low eGFR among the participants in the study.


Participants were enrolled from 8 clinical sites from 4 participating countries. We determined prevalent risk factors by collecting biometric that includes albuminuria and eGFR, the later was calculated using CKD - EPI equation. Crude and adjusted odds were determined for the risk factors for albuminuria of > 30mg/g and eGFR < 60 ml/min/1.73m2.


Among the 3,323 participants with a median age of 45.73±15.5yrs, 57.3% were female. We observed that hypertension, Diabetes mellitus (DM), smoking and occurrence of CVD were significantly associated with albuminuria and reduced eGFR while gender was significantly associated with albuminuria (Table 1 and 2).


Hypertension, diabetes mellitus and cigarette smoking are the most prevalent risk factors for CKD in this study and are independently associated with albuminuria and low eGFR in SSA.

Risk Factors independently associated with albuminuria and Reduced eGFR
Risk factor for AlbuminuriaCrude OR (95% CI)*Adjusted OR (95% CI)** Risk factors for reduced eGFRCrude OR (95% CI)*Adjusted OR (95% CI)**
Age1.00, (0.99, 1)1.00, (0.99, 1)Age1.01, (1.00, 1.01)1.01, (1.00, 1.01)
Gender0.62, (0.54, 0.72)0.63, (0.55, 0.74)Gender0.42, (0.36, 0.48)0.42, (0.36, 0.49)
BMI0.99, (0.97, 1)0.99, (0.97, 1)BMI0.96, (0.95, 0.98)0.97, (0.95, 0.98)
DM1.60, (1.35, 1.89)1.54, (1.28, 1.86)DM1.71, (1.44, 2.02)1.48, (1.23, 1.77)
Hypertension2.80, (2.42, 3.24)3.18, (2.69, 3.77)Hypertension4.74, (4.04, 5.57)5.14, (4.32, 6.13)
Smoking status
Yes vs No
1.85, (1.33, 2.54)1.48, (1.05, 2.07)Smoking status
Yes vs No
2.39 (1.74, 3.25)2.21, (1.60, 3.03)
Alcohol0.98, (0.80, 1.20)0.91, (0.73, 1.13)Alcohol0.73 (0.58, 0.90)0.87, (0.69, 1.08)
CVD3.03, (2.12, 4.34)2.89, (1.99, 4.21)CVD4.19 (3.18, 6.14)4.75, (3.39, 6.68)
Country1.10, (0.95, 1.26)1.05, (0.91, 1.22) 
eGFR4.19 (3.18, 6.14)4.75, (3.39, 6.68)

BMI-Body mass index, CI-Confidence interval eGFR-estimated glomerular filtration rate, CVD-Cardiovascular disease, OR-Odds ratio. * Unadjusted , ** Adjusted for age, gender, recruitment status and country of origin.


  • NIDDK Support