BMC Nephrology (Nov 2020)

Prevalence of chronic kidney disease and risk factors in North-Central Nigeria: a population-based survey

  • Timothy Olusegun Olanrewaju,
  • Ademola Aderibigbe,
  • Ademola Alabi Popoola,
  • Kolawole Thomas Braimoh,
  • Mikhail Olayinka Buhari,
  • Olanrewaju Timothy Adedoyin,
  • Sulyman Alege Kuranga,
  • Sikiru Abayomi Biliaminu,
  • Adindu Chijioke,
  • Abdulwahab Akanbi Ajape,
  • Diederick E Grobbee,
  • Peter J Blankestijn,
  • Kerstin Klipstein-Grobusch,
  • the Ilorin Renal Study Group

DOI
https://doi.org/10.1186/s12882-020-02126-8
Journal volume & issue
Vol. 21, no. 1
pp. 1 – 10

Abstract

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Abstract Background Chronic kidney disease (CKD) is a growing challenge in low- and middle-income countries, particularly in sub-Saharan Africa. There is insufficient population-based data on CKD in Nigeria that is required to estimate its true burden, and to design prevention and management strategies. The study aims to determine the prevalence of CKD and its risk factors in Nigeria. Methods We studied 8 urban communities in Kwara State, North-Central zone of Nigeria. Blood pressure, fasting blood sugar, urinalysis, weight, height, waist circumference and hip circumference were obtained. Albuminuria and kidney length were measured by ultrasound while estimated glomerular filtration rate (eGFR) was derived from serum creatinine, using chronic disease epidemiology collaboration (CKD-EPI) equation. Associations of risk factors with CKD were determined by multivariate logistic regression and expressed as adjusted odds ratio (aOR) with corresponding 95% confidence intervals. Results One thousand three hundred and fifty-three adults ≥18 years (44% males) with mean age of 44.3 ± 14.4 years, were screened. Mean kidney lengths were: right, 93.5 ± 7.0 cm and left, 93.4 ± 7.5 cm. The age-adjusted prevalence of hypertension was 24%; diabetes 4%; obesity 8.7%; albuminuria of > 30 mg/L 7%; and dipstick proteinuria 13%. The age-adjusted prevalence of CKD by estimated GFR < 60 ml/min/1.73m2 and/or Proteinuria was 12%. Diabetes (aOR 6.41, 95%CI = 3.50–11.73, P = 0.001), obesity (aOR 1.50, 95%CI = 1.10–2.05, P = 0.011), proteinuria (aOR 2.07, 95%CI = 1.05–4.08, P = 0.035); female sex (aOR 1.67, 95%CI = 1.47–1.89, P = 0.001); and age (aOR 1.89, 95%CI = 1.13–3.17, P = 0.015) were the identified predictors of CKD. Conclusions CKD and its risk factors are prevalent among middle-aged urban populations in North-Central Nigeria. It is common among women, fueled by diabetes, ageing, obesity, and albuminuria. These data add to existing regional studies of burden of CKD that may serve as template for a national prevention framework for CKD in Nigeria. One of the limitations of the study is that the participants were voluntary community dwellers and as such not representative for the community. The sample may thus have been subjected to selection bias possibly resulting in overestimation of CKD risk factors.

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