BACKGROUND: Data- on the epidemiology of Chronic Kidney Disease (CKD) from sub-SaharanAfrica are sparse. We investigated the prevalence of CKD and its early markers in Kumbotso, a rural community in northern Nigeria. METHODS: A total of 480 individuals were randomly selected from the general population using multistage stratified random sampling. Relevant- demographic and clinical data were obtained using a structured questionnaire. Biological samples (urine and blood) were drawn for relevant investigations. RESULTS: CKD (estimated glomerular filtration rate [eGFR <60 mls/min) was found in 117 participants (26%). Proteinuria was present in 106 persons (23.6%) and haematuria in 7 individuals (1.6%). The most common CKD stage was stage 1 (20%). CKD was associated with hypertension (P=0.002), diabetes (P=0.001), high cholesterol (P=0.030), smoking (P=0.015), increasing BMI (P=0.020), and increasing age (P=0.003). After adjusting for potential confounding with logistic regression modeling we found BMI, family history of hypertension, history of diabetes mellitus and family history of renal disease to be independent predictors of CKD. CONCLUSIONS: Early markers of CKD are common among rural inhabitants of northern Nigeria and this call for concerted efforts towards institution of preventive measures.
BACKGROUND: Data- on the epidemiology of Chronic Kidney Disease (CKD) from sub-SaharanAfrica are sparse. We investigated the prevalence of CKD and its early markers in Kumbotso, a rural community in northern Nigeria. METHODS: A total of 480 individuals were randomly selected from the general population using multistage stratified random sampling. Relevant- demographic and clinical data were obtained using a structured questionnaire. Biological samples (urine and blood) were drawn for relevant investigations. RESULTS: CKD (estimated glomerular filtration rate [eGFR <60 mls/min) was found in 117 participants (26%). Proteinuria was present in 106 persons (23.6%) and haematuria in 7 individuals (1.6%). The most common CKD stage was stage 1 (20%). CKD was associated with hypertension (P=0.002), diabetes (P=0.001), high cholesterol (P=0.030), smoking (P=0.015), increasing BMI (P=0.020), and increasing age (P=0.003). After adjusting for potential confounding with logistic regression modeling we found BMI, family history of hypertension, history of diabetes mellitus and family history of renal disease to be independent predictors of CKD. CONCLUSIONS: Early markers of CKD are common among rural inhabitants of northern Nigeria and this call for concerted efforts towards institution of preventive measures.