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Published in: BMC Nephrology 1/2023

Open Access 01-12-2023 | Human Immunodeficiency Virus | Research

Kidney dysfunction: prevalence and associated risk factors in a community-based study from the North West Province of South Africa

Authors: Nonkululeko Hellen Navise, Gontse Gratitude Mokwatsi, Lebo Francina Gafane-Matemane, June Fabian, Leandi Lammertyn

Published in: BMC Nephrology | Issue 1/2023

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Abstract

Background

Globally, the World Health Organization ranks chronic kidney disease (CKD) as one of the top 10 causes of mortality. In South Africa, where noncommunicable diseases have become leading causes of mortality, the true population prevalence of CKD is unknown and associated risk factors remain understudied. This study aimed to describe the prevalence of kidney dysfunction and associated risk factors in a community from the North West province of South Africa.

Methods

This cross-sectional study included 1999 participants older than 30 years. Kidney dysfunction was defined as (i) estimated glomerular filtration rate (eGFR) < 90 ml/min/1.73m2, or (ii) urine albuminuria-to-creatinine ratio (uACR) ≥ 3.0 mg/mmol, or a combination (i and ii). Risk factors included age, sex, urban/rural locality, body mass index (BMI), blood pressure (BP), lipid profile, haemoglobin A1c (HbA1C), C-reactive protein (CRP), gamma-glutamyl transferase (GGT), tobacco use, and HIV status.

Results

Mean age of participants was 48 (42;56) years, and 655/1999 (33%) had eGFR < 90 ml/min/1.73m2 and/or uACR  3.0 mg/mmol. Compared to those with normal kidney function, participants with eGFR < 90 ml/min/1.73m2 and/or uACR ≥ 3.0 mg/mmol were older, female, had higher measures of adiposity, systolic, diastolic, and mean arterial blood pressure, serum lipids and C-reactive protein (CRP) (all p  0.024). In multiple regression analyses eGFR was associated with systolic BP (β = 0.11) and HIV infection (β = -0.09), and albuminuria was associated with elevated CRP (β = 0.12) and HIV infection (β = 0.11) (all p < 0.026). In both groups (individuals with and without kidney dysfunction respectively), eGFR was associated with age (β = -0.29, β = -0.49), male sex (β = 0.35, β = 0.28), BMI (β = -0.12, β = -0.09), low-density/high-density lipoprotein cholesterol ratio (β = -0.17, β = -0.09) and CRP (β = 0.10, β = 0.09) (all p < 0.005); and uACR was associated with female sex (β = 0.10, β = -0.14), urban locality (β = -0.11, β = -0.08), BMI (β = -0.11, β-0.11), and systolic BP (β = 0.27, β = 0.14) (all p < 0.017).

Conclusion

In this study from the North West province, South Africa, eGFR < 90 ml/min/1.73m2 and/or uACR  3.0 mg/mmol was prevalent and associated with modifiable risk factors. The findings may inform screening strategies for kidney disease prevention, focusing on women, obesity, blood pressure control, dyslipidaemia, identifying and treating inflammation, and HIV diagnosis and treatment.
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Literature
1.
go back to reference Couser WG, Remuzzi G, Mendis S, Tonelli M. The contribution of chronic kidney disease to the global burden of major noncommunicable diseases. Kidney Int. 2011;80(12):1258–70.CrossRef Couser WG, Remuzzi G, Mendis S, Tonelli M. The contribution of chronic kidney disease to the global burden of major noncommunicable diseases. Kidney Int. 2011;80(12):1258–70.CrossRef
3.
go back to reference Stanifer JW, Jing B, Tolan S, Helmke N, Mukerjee R, Naicker S, et al. The epidemiology of chronic kidney disease in sub-saharan Africa: a systematic review and meta-analysis. Lancet Glob Health. 2014;2(3):e174–81.CrossRef Stanifer JW, Jing B, Tolan S, Helmke N, Mukerjee R, Naicker S, et al. The epidemiology of chronic kidney disease in sub-saharan Africa: a systematic review and meta-analysis. Lancet Glob Health. 2014;2(3):e174–81.CrossRef
4.
go back to reference Mills KT, Xu Y, Zhang W, Bundy JD, Chen C-S, Kelly TN, et al. A systematic analysis of worldwide population-based data on the global burden of chronic kidney disease in 2010. Kidney Int. 2015;88(5):950–7.CrossRef Mills KT, Xu Y, Zhang W, Bundy JD, Chen C-S, Kelly TN, et al. A systematic analysis of worldwide population-based data on the global burden of chronic kidney disease in 2010. Kidney Int. 2015;88(5):950–7.CrossRef
5.
go back to reference Sumaili EK, Krzesinski J-M, Zinga CV, Cohen EP, Delanaye P, Munyanga SM, et al. Prevalence of chronic kidney disease in Kinshasa: results of a pilot study from the Democratic Republic of Congo. Nephrol Dial Transplant. 2009;24(1):117–22.CrossRef Sumaili EK, Krzesinski J-M, Zinga CV, Cohen EP, Delanaye P, Munyanga SM, et al. Prevalence of chronic kidney disease in Kinshasa: results of a pilot study from the Democratic Republic of Congo. Nephrol Dial Transplant. 2009;24(1):117–22.CrossRef
6.
go back to reference Arogundade FA, Barsoum RS. CKD prevention in Sub-Saharan Africa: a call for governmental, nongovernmental, and community support. Am J Kidney Dis. 2008;51(3):515–23.CrossRef Arogundade FA, Barsoum RS. CKD prevention in Sub-Saharan Africa: a call for governmental, nongovernmental, and community support. Am J Kidney Dis. 2008;51(3):515–23.CrossRef
7.
go back to reference George JA, Brandenburg J-T, Fabian J, Crowther NJ, Agongo G, Alberts M, et al. Kidney damage and associated risk factors in rural and urban sub-saharan Africa (AWI-Gen): a cross-sectional population study. Lancet Global Health. 2019;7(12):e1632–e43.CrossRef George JA, Brandenburg J-T, Fabian J, Crowther NJ, Agongo G, Alberts M, et al. Kidney damage and associated risk factors in rural and urban sub-saharan Africa (AWI-Gen): a cross-sectional population study. Lancet Global Health. 2019;7(12):e1632–e43.CrossRef
10.
go back to reference Moosa M, Van der Walt I, Naicker S, Meyers AJSAMJ. Important causes of chronic kidney disease in South Africa. S Afr Med J. 2015;105(4):320–7.CrossRef Moosa M, Van der Walt I, Naicker S, Meyers AJSAMJ. Important causes of chronic kidney disease in South Africa. S Afr Med J. 2015;105(4):320–7.CrossRef
13.
go back to reference Keyes CL, Wissing M, Potgieter JP, Temane M, Kruger A, Van Rooy S. Evaluation of the mental health continuum–short form (MHC–SF) in setswana-speaking South Africans. Clin Psychol Psychother. 2008;15(3):181–92.CrossRef Keyes CL, Wissing M, Potgieter JP, Temane M, Kruger A, Van Rooy S. Evaluation of the mental health continuum–short form (MHC–SF) in setswana-speaking South Africans. Clin Psychol Psychother. 2008;15(3):181–92.CrossRef
14.
go back to reference Goldberg DP, Hillier VF. A scaled version of the General Health Questionnaire. Psychol Med. 1979;9(1):139–45.CrossRef Goldberg DP, Hillier VF. A scaled version of the General Health Questionnaire. Psychol Med. 1979;9(1):139–45.CrossRef
15.
go back to reference ISAK., International Standards for Anthropometric Assessment. ISAK manual, International Society for the Advancement of Kinanthropometry (ISAK): Lower Hutt, New Zealand, 2011. ISAK., International Standards for Anthropometric Assessment. ISAK manual, International Society for the Advancement of Kinanthropometry (ISAK): Lower Hutt, New Zealand, 2011.
16.
go back to reference Muntner P, Shimbo D, Carey RM, Charleston JB, Gaillard T, Misra S, et al. Measurement of blood pressure in humans: A Scientific Statement from the American Heart Association. Hypertension. 2019;73(5):e35–e66.CrossRef Muntner P, Shimbo D, Carey RM, Charleston JB, Gaillard T, Misra S, et al. Measurement of blood pressure in humans: A Scientific Statement from the American Heart Association. Hypertension. 2019;73(5):e35–e66.CrossRef
17.
go back to reference Levey AS, Stevens LA. Estimating GFR using the CKD epidemiology collaboration (CKD-EPI) creatinine equation: more accurate GFR estimates, lower CKD prevalence estimates, and better risk predictions. Am J kidney Dis. 2010;55(4):622–7.CrossRef Levey AS, Stevens LA. Estimating GFR using the CKD epidemiology collaboration (CKD-EPI) creatinine equation: more accurate GFR estimates, lower CKD prevalence estimates, and better risk predictions. Am J kidney Dis. 2010;55(4):622–7.CrossRef
18.
go back to reference Fabian J, Kalyesubula R, Mkandawire J, Hansen CH, Nitsch D, Musenge E, et al. Measurement of kidney function in Malawi, South Africa, and Uganda: a multicentre cohort study. Lancet Glob Health. 2022;10(8):e1159–e69.CrossRef Fabian J, Kalyesubula R, Mkandawire J, Hansen CH, Nitsch D, Musenge E, et al. Measurement of kidney function in Malawi, South Africa, and Uganda: a multicentre cohort study. Lancet Glob Health. 2022;10(8):e1159–e69.CrossRef
19.
go back to reference Johnson R, McNutt P, MacMahon S, Robson R. Use of the Friedewald formula to estimate LDL-cholesterol in patients with chronic renal failure on dialysis. Clin Chem. 1997;43(11):2183–84.CrossRef Johnson R, McNutt P, MacMahon S, Robson R. Use of the Friedewald formula to estimate LDL-cholesterol in patients with chronic renal failure on dialysis. Clin Chem. 1997;43(11):2183–84.CrossRef
20.
go back to reference Levin A, Stevens PE, Bilous RW, Coresh J, De Francisco AL, De Jong PE et al. Kidney Disease: Improving Global Outcomes (KDIGO) CKD Work Group. KDIGO 2012 clinical practice guideline for the evaluation and management of chronic kidney disease. Kidney Int Suppl (2011). 2013;3(1):1-150. Levin A, Stevens PE, Bilous RW, Coresh J, De Francisco AL, De Jong PE et al. Kidney Disease: Improving Global Outcomes (KDIGO) CKD Work Group. KDIGO 2012 clinical practice guideline for the evaluation and management of chronic kidney disease. Kidney Int Suppl (2011). 2013;3(1):1-150.
21.
go back to reference Inker LA, Eneanya ND, Coresh J, Tighiouart H, Wang D, Sang Y, et al. New Creatinine- and cystatin C–Based equations to Estimate GFR without Race. N Eng J Med. 2021;385(19):1737–49.CrossRef Inker LA, Eneanya ND, Coresh J, Tighiouart H, Wang D, Sang Y, et al. New Creatinine- and cystatin C–Based equations to Estimate GFR without Race. N Eng J Med. 2021;385(19):1737–49.CrossRef
22.
go back to reference Pottel H, Björk J, Courbebaisse M, Couzi L, Ebert N, Eriksen BO, et al. Development and validation of a modified full age Spectrum Creatinine-Based equation to Estimate glomerular filtration rate: a cross-sectional analysis of Pooled Data. Ann Intern Med. 2021;174(2):183–91.CrossRef Pottel H, Björk J, Courbebaisse M, Couzi L, Ebert N, Eriksen BO, et al. Development and validation of a modified full age Spectrum Creatinine-Based equation to Estimate glomerular filtration rate: a cross-sectional analysis of Pooled Data. Ann Intern Med. 2021;174(2):183–91.CrossRef
23.
go back to reference Steubl D, Block M, Herbst V, Nockher WA, Schlumberger W, Satanovskij R, et al. Plasma uromodulin correlates with kidney function and identifies early stages in chronic kidney Disease patients. Med (Baltim). 2016;95(10):e3011–e.CrossRef Steubl D, Block M, Herbst V, Nockher WA, Schlumberger W, Satanovskij R, et al. Plasma uromodulin correlates with kidney function and identifies early stages in chronic kidney Disease patients. Med (Baltim). 2016;95(10):e3011–e.CrossRef
27.
go back to reference Alves TP, Hulgan T, Wu P, Sterling TR, Stinnette SE, Rebeiro PF, et al. Race, kidney disease progression, and mortality risk in HIV-infected persons. Clin J Am Soc Nephrol. 2010;5(12):2269–75.CrossRef Alves TP, Hulgan T, Wu P, Sterling TR, Stinnette SE, Rebeiro PF, et al. Race, kidney disease progression, and mortality risk in HIV-infected persons. Clin J Am Soc Nephrol. 2010;5(12):2269–75.CrossRef
28.
go back to reference Jotwani V, Li Y, Grunfeld C, Choi AI, Shlipak MG. Risk factors for ESRD in HIV-infected individuals: traditional and HIV-related factors. Am J Kidney Dis. 2012;59(5):628–35.CrossRef Jotwani V, Li Y, Grunfeld C, Choi AI, Shlipak MG. Risk factors for ESRD in HIV-infected individuals: traditional and HIV-related factors. Am J Kidney Dis. 2012;59(5):628–35.CrossRef
29.
go back to reference Campbell L, Ibrahim F, Fisher M, Holt S, Hendry B, Post F. Spectrum of chronic kidney disease in HIV-infected patients. HIV Med. 2009;10(6):329–36.CrossRef Campbell L, Ibrahim F, Fisher M, Holt S, Hendry B, Post F. Spectrum of chronic kidney disease in HIV-infected patients. HIV Med. 2009;10(6):329–36.CrossRef
31.
go back to reference Akchurin M, Kaskel F. Update on inflammation in chronic kidney disease. Blood Purif. 2015;39(1–3):84–92.CrossRef Akchurin M, Kaskel F. Update on inflammation in chronic kidney disease. Blood Purif. 2015;39(1–3):84–92.CrossRef
32.
go back to reference Zambrano-Galvan G, Rodríguez-Morán M, Simental-Mendía LE, Lazalde B, Reyes-Romero MA, Guerrero-Romero F. C-reactive protein is directly Associated with urinary albumin-to-creatinine ratio. Arch Med Res. 2011;42(6):451–6.CrossRef Zambrano-Galvan G, Rodríguez-Morán M, Simental-Mendía LE, Lazalde B, Reyes-Romero MA, Guerrero-Romero F. C-reactive protein is directly Associated with urinary albumin-to-creatinine ratio. Arch Med Res. 2011;42(6):451–6.CrossRef
33.
go back to reference Sabanayagam C, Lee J, Shankar A, Lim SC, Wong TY, Tai ES. C-reactive protein and microalbuminuria in a multi-ethnic asian population. Nephrol Dial Transplant. 2010;25(4):1167–72.CrossRef Sabanayagam C, Lee J, Shankar A, Lim SC, Wong TY, Tai ES. C-reactive protein and microalbuminuria in a multi-ethnic asian population. Nephrol Dial Transplant. 2010;25(4):1167–72.CrossRef
34.
go back to reference Imig JD, Ryan MJ. Immune and inflammatory role in renal disease. Compr Physiol. 2013;3(2):957–76.CrossRef Imig JD, Ryan MJ. Immune and inflammatory role in renal disease. Compr Physiol. 2013;3(2):957–76.CrossRef
35.
go back to reference Levin NW, Kotanko P, Eckardt K-U, Kasiske BL, Chazot C, Cheung AK et al. Blood pressure in chronic kidney disease stage 5D-report from a Kidney Disease: Improving Global Outcomes controversies conference. Kidney Int. 2010;77(4):273 – 84. Levin NW, Kotanko P, Eckardt K-U, Kasiske BL, Chazot C, Cheung AK et al. Blood pressure in chronic kidney disease stage 5D-report from a Kidney Disease: Improving Global Outcomes controversies conference. Kidney Int. 2010;77(4):273 – 84.
36.
go back to reference Lee JY, Park JT, Joo YS, Lee C, Yun H-R, Yoo T-H, et al. Association of blood pressure with the progression of CKD: findings from KNOW-CKD Study. Am J of Kidney Dis. 2021;78(2):236–45.CrossRef Lee JY, Park JT, Joo YS, Lee C, Yun H-R, Yoo T-H, et al. Association of blood pressure with the progression of CKD: findings from KNOW-CKD Study. Am J of Kidney Dis. 2021;78(2):236–45.CrossRef
37.
go back to reference Xie X, Atkins E, Lv J, Bennett A, Neal B, Ninomiya T, et al. Effects of intensive blood pressure lowering on cardiovascular and renal outcomes: updated systematic review and meta-analysis. Lancet. 2016;387(10017):435–43.CrossRef Xie X, Atkins E, Lv J, Bennett A, Neal B, Ninomiya T, et al. Effects of intensive blood pressure lowering on cardiovascular and renal outcomes: updated systematic review and meta-analysis. Lancet. 2016;387(10017):435–43.CrossRef
38.
go back to reference Wu Z, Jin C, Vaidya A, Jin W, Huang Z, Wu S, et al. Longitudinal patterns of blood pressure, incident cardiovascular events, and all-cause mortality in normotensive diabetic people. Hypertension. 2016;68(1):71–7.CrossRef Wu Z, Jin C, Vaidya A, Jin W, Huang Z, Wu S, et al. Longitudinal patterns of blood pressure, incident cardiovascular events, and all-cause mortality in normotensive diabetic people. Hypertension. 2016;68(1):71–7.CrossRef
40.
go back to reference Ware LJ, Chidumwa G, Charlton K, Schutte AE, Kowal P. Predictors of hypertension awareness, treatment and control in South Africa: results from the WHO-SAGE population survey (Wave 2). J Hum Hypertens. 2019;33(2):157–66.CrossRef Ware LJ, Chidumwa G, Charlton K, Schutte AE, Kowal P. Predictors of hypertension awareness, treatment and control in South Africa: results from the WHO-SAGE population survey (Wave 2). J Hum Hypertens. 2019;33(2):157–66.CrossRef
41.
go back to reference Garland JS. Elevated body mass index as a risk factor for chronic kidney disease: current perspectives. Diabetes Metab Syndr Obes. 2014;7:347–55.CrossRef Garland JS. Elevated body mass index as a risk factor for chronic kidney disease: current perspectives. Diabetes Metab Syndr Obes. 2014;7:347–55.CrossRef
42.
go back to reference Adeniyi AB, Laurence CE, Volmink JA, Davids MR. Prevalence of chronic kidney disease and association with cardiovascular risk factors among teachers in Cape Town, South Africa. Clin Kidney J. 2017;10(3):363–9. Adeniyi AB, Laurence CE, Volmink JA, Davids MR. Prevalence of chronic kidney disease and association with cardiovascular risk factors among teachers in Cape Town, South Africa. Clin Kidney J. 2017;10(3):363–9.
43.
go back to reference Kalantar-Zadeh K, Rhee CM, Chou J, Ahmadi SF, Park J, Chen JL, et al. The obesity Paradox in kidney disease: how to reconcile it with obesity management. Kidney Int Rep. 2017;2(2):271–81.CrossRef Kalantar-Zadeh K, Rhee CM, Chou J, Ahmadi SF, Park J, Chen JL, et al. The obesity Paradox in kidney disease: how to reconcile it with obesity management. Kidney Int Rep. 2017;2(2):271–81.CrossRef
44.
go back to reference Cases A, Coll E. Dyslipidemia and the progression of renal disease in chronic renal failure patients. Kidney Int. 2005;68:87–S93.CrossRef Cases A, Coll E. Dyslipidemia and the progression of renal disease in chronic renal failure patients. Kidney Int. 2005;68:87–S93.CrossRef
45.
go back to reference Liu D-w, Jia W, Liu Z-s, Pei W, Cheng G-Y, Shi X-Z. Association between dyslipidemia and chronic kidney disease: a cross-sectional study in the middle-aged and elderly chinese population. Chin Med J. 2013;126(7):1207–12. Liu D-w, Jia W, Liu Z-s, Pei W, Cheng G-Y, Shi X-Z. Association between dyslipidemia and chronic kidney disease: a cross-sectional study in the middle-aged and elderly chinese population. Chin Med J. 2013;126(7):1207–12.
46.
go back to reference Goldberg I, Krause I. The role of gender in chronic kidney disease. Eur Med J. 2016;1(2):58–64. Goldberg I, Krause I. The role of gender in chronic kidney disease. Eur Med J. 2016;1(2):58–64.
47.
go back to reference Adjei DN, Stronks K, Adu D, Beune E, Meeks K, Smeeth L, et al. Chronic kidney disease burden among african migrants in three european countries and in urban and rural Ghana: the RODAM cross-sectional study. Nephrol Dial Transplant. 2018;33(10):1812–22.CrossRef Adjei DN, Stronks K, Adu D, Beune E, Meeks K, Smeeth L, et al. Chronic kidney disease burden among african migrants in three european countries and in urban and rural Ghana: the RODAM cross-sectional study. Nephrol Dial Transplant. 2018;33(10):1812–22.CrossRef
48.
go back to reference Stanifer JW, Maro V, Egger J, Karia F, Thielman N, Turner EL, et al. The epidemiology of chronic kidney disease in Northern Tanzania: a population-based survey. PLoS ONE. 2015;10(4):e0124506.CrossRef Stanifer JW, Maro V, Egger J, Karia F, Thielman N, Turner EL, et al. The epidemiology of chronic kidney disease in Northern Tanzania: a population-based survey. PLoS ONE. 2015;10(4):e0124506.CrossRef
Metadata
Title
Kidney dysfunction: prevalence and associated risk factors in a community-based study from the North West Province of South Africa
Authors
Nonkululeko Hellen Navise
Gontse Gratitude Mokwatsi
Lebo Francina Gafane-Matemane
June Fabian
Leandi Lammertyn
Publication date
01-12-2023
Publisher
BioMed Central
Published in
BMC Nephrology / Issue 1/2023
Electronic ISSN: 1471-2369
DOI
https://doi.org/10.1186/s12882-023-03068-7

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