TY - JOUR
T1 - Prevalence of chronic kidney disease and risk factors in North-Central Nigeria
T2 - a population-based survey
AU - Olanrewaju, Timothy Olusegun
AU - Aderibigbe, Ademola
AU - Popoola, Ademola Alabi
AU - Braimoh, Kolawole Thomas
AU - Buhari, Mikhail Olayinka
AU - Adedoyin, Olanrewaju Timothy
AU - Kuranga, Sulyman Alege
AU - Biliaminu, Sikiru Abayomi
AU - Chijioke, Adindu
AU - Ajape, Abdulwahab Akanbi
AU - Grobbee, Diederick E
AU - Blankestijn, Peter J
AU - Klipstein-Grobusch, Kerstin
N1 - Funding Information:
The work was partly funded by the monetary component ($5000) of Shrier award by the International Society of Nephrology for the Ilorin-Sheffield Sister Renal Center program of the organization; and the University of Ilorin Teaching Hospital. OTO is on Global Health Support Scholarship at Utrecht University for a PhD program during which the data were analyzed and the manuscript was written. The International Society of Nephrology and Utrecht University were not involved in the design of the study, collection, analysis, interpretation of data; nor were they involved in the writing of the manuscript. Acknowledgements
Funding Information:
We acknowledge the members of Ilorin Renal Study Group, the secretariat staff of Renal Unit, University of Ilorin Teaching Hospital for their contributions towards the data collation. We also thank the staff of Statistic section of the Julius Center, University Medical Center Utrecht, The Netherland for their support.
Publisher Copyright:
© 2020, The Author(s).
PY - 2020/11/10
Y1 - 2020/11/10
N2 - 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/1.73m
2 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.
AB - 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/1.73m
2 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.
KW - Chronic kidney disease
KW - Diabetes
KW - Hypertension
KW - Nigeria
KW - Obesity
KW - Risk factors
KW - Sub-Saharan Africa
UR - https://www.scopus.com/pages/publications/85095684784
U2 - 10.1186/s12882-020-02126-8
DO - 10.1186/s12882-020-02126-8
M3 - Article
C2 - 33167899
SN - 1471-2369
VL - 21
JO - BMC Nephrology
JF - BMC Nephrology
IS - 1
M1 - 467
ER -