Prevalence and risk factors for chronic kidney disease of unknown cause in Malawi: a cross-sectional analysis in a rural and urban population

被引:9
|
作者
Hamilton, Sophie A. [1 ,2 ,3 ]
Nakanga, Wisdom P. [4 ]
Prynn, Josephine E. [4 ,5 ]
Crampin, Amelia C. [4 ,6 ]
Fecht, Daniela [1 ,2 ]
Vineis, Paolo [1 ,2 ]
Caplin, Ben [7 ]
Pearce, Neil [8 ,9 ]
Nyirenda, Moffat J. [4 ,6 ]
机构
[1] Imperial Coll London, Dept Epidemiol & Biostat, London, England
[2] Imperial Coll London, MRC Ctr Environm & Hlth, London, England
[3] Imperial Coll London, Sch Publ Hlth, London, England
[4] Malawi Epidemiol & Intervent Res Unit, Lilongwe, Malawi
[5] UCL, Inst Cardiovasc Sci, London, England
[6] London Sch Hyg & Trop Med, Dept Infect Dis Epidemiol, London, England
[7] UCL, Div Med, Ctr Nephrol, London, England
[8] London Sch Hyg & Trop Med, Dept Med Stat, London, England
[9] London Sch Hyg & Trop Med, Ctr Global NCDs, London, England
基金
英国医学研究理事会;
关键词
Epidemiology; Chronic kidney disease; Estimated glomerular filtration rate; Prevalence; Risk factor; Sub-Saharan Africa; SUGARCANE CUTTERS; ETIOLOGY; EPIDEMIOLOGY; STRATEGIES; WORKERS;
D O I
10.1186/s12882-020-02034-x
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
Background An epidemic of chronic kidney disease of unknown cause (CKDu) is occurring in rural communities in tropical regions of low-and middle-income countries in South America and India. Little information is available from Southern African countries which have similar climatic and occupational characteristics to CKDu-endemic countries. We investigated whether CKDu is prevalent in Malawi and identified its potential risk factors in this setting. Methods We conducted a cross-sectional study from January-August 2018 collecting bio samples and anthropometric data in two Malawian populations. The sample comprised adults > 18 years (n = 821) without diabetes, hypertension, and proteinuria. Estimates of glomerular filtration rate (eGFR) were calculated using the CKD-EPI equation. Linear and logistic regression models were applied with potential risk factors, to estimate risk of reduced eGFR. Results The mean eGFR was 117.1 +/- 16.0 ml/min per 1.73m(2)and the mean participant age was 33.5 +/- 12.7 years. The prevalence of eGFR< 60 was 0.2% (95% confidence interval (95% CI) 0.1, 0.9); the prevalence of eGFR< 90 was 5% (95% CI =3.2, 6.3). We observed a higher prevalence in the rural population (5% (3.6, 7.8)), versus urban (3% (1.4, 6.7)). Age and BMI were associated with reduced eGFR< 90 [Odds ratio (OR) (95%CI) =3.59 (2.58, 5.21) per ten-year increment]; [OR (95%CI) =2.01 (1.27, 3.43) per 5 kg/m(2)increment] respectively. No increased risk of eGFR < 90 was observed for rural participants [OR (95%CI) =1.75 (0.50, 6.30)]. Conclusions Reduced kidney function consistent with the definition of CKDu is not common in the areas of Malawi sampled, compared to that observed in other tropical or sub-tropical countries in Central America and South Asia. Reduced eGFR< 90 was related to age, BMI, and was more common in rural areas. These findings are important as they contradict some current hypothesis that CKDu is endemic across tropical and sub-tropical countries. This study has enabled standardized comparisons of impaired kidney function between and within tropical/subtropical regions of the world and will help form the basis for further etiological research, surveillance strategies, and the implementation and evaluation of interventions.
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页数:12
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