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Start date: 2020Subject: search.filters.subject.Cohort Studies

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    Dataset From: Forgotten but not gone in rural South Africa: Urinary schistosomiasis and implications for chronic kidney disease screening in endemic countries
    (2022-12-11) Craik,Alison; Mayindi,Nokthula; Chipungu,Shingirai; Khoza,Bongekile; Gómez-Olivé, Xavier F; Tomlinson, Laurie Alexandra
    Study information The African Research on Kidney Disease (ARK) Study aimed to determine chronic kidney disease (CKD) prevalence and identify associated risk factors in rural South Africa. The study took place from November 2017 to September 2018 and included a population-based sample (N=2759) of adults aged 20-79 years from the Agincourt Health and Socio-Demographic Surveillance System (HDSS) site in rural Bushbuckridge, Mpumalanga Province. Institutional review board approval was obtained from the University of Witwatersrand (clearance number M170583) Written informed consent was obtained from individual participants prior to enrolment. This is a secondary data analysis nested within the ARK study. In this population-based cohort study, we aimed to characterise the burden of urinary schistosomiasis in rural South Africa and evaluate its relationship with markers of kidney dysfunction with implications for CKD screening. We recruited 2021 adults aged 20-79 years in the Mpumalanga Province, South Africa. Sociodemographic and anthropometric data were recorded, urinalysis performed, and serum and urine samples collected. We measured serum creatinine and urine albumin/creatinine. Kidney dysfunction was defined as an estimated glomerular filtration rate (eGFR) <60ml/min/1.73m2 and/or urine albumin-creatinine ratio >3.0mg/mmol. S.haematobium infection was determined by urine microscopy. Multivariable analyses were performed to determine relationships between S.haematobium and kidney dysfunction. The methodology for this sub-study is dependent on the larger ARK study processes. Data quality and ethics processes have previously been validated by the ARK consortium . Institutional review board approval was obtained from the University of Witwatersrand (clearance number M170583) Written informed consent was obtained from individual participants prior to enrolment. Additional approval for this sub-study from the London School of Hygiene and Tropical Medicine (reference number 22152). Kalyesubula R, Fabian J, Nakanga W, Newton R, Ssebunnya B, Prynn J, et al. How to estimate glomerular filtration rate in sub-Saharan Africa: design and methods of the African Research into Kidney Diseases (ARK) study. BMC Nephrol. 2020 Jan 15;21(1):20.
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    Dataset from: Chronic kidney disease (CKD) and associated risk in rural South Africa: a population-based cohort study
    (2022-07-13) Fabian, June; Gondwe, Mwawi; Mayindi, Nokthula; Khoza, Bongekile; Gaylard, Petra; Wade, Alisha N.; Gómez‑Olivé, F. Xavier; Tomlinson, Laurie A.; Ramsay, Michele; Tollman, Stephen Meir; Winkler, Cheryl; George, Jaya Anna; Naicker, Saraladevi; Study data were collected and managed using opensource REDCap electronic data capture tools hosted at the University of the Witwatersrand
    Study Methods This longitudinal cohort study was conducted from November 2017 to September 2018 in the Medical Research Council (MRC)/Wits Rural Public Health and Health Transitions Research Unit (otherwise referred to as "Agincourt") in Bushbuckridge, a rural subdistrict of the Mpumalanga province in north-eastern South Africa. Agincourt is a Health and Socio-Demographic Surveillance System (HDSS) site that includes approximately 115,000 people. For this study, a minimum sample size of 1800 was required to provide at least 80% power to determine CKD prevalence of at least 5%, provided the true prevalence was equal to or more than 6.5%. Proportional allocation of Black African adults aged 20 to 79 years ensured a representative sample based on the most recent annual population census. Sample size was increased proportionately to 2759 individuals to accommodate a 25% non-participation rate. Dataset is 2022 cases Variables are: 1. age 2. Gender 3. Years of Education (refers to completed years of schooling) 4. Height (cm) (one decimal place) 5. weight (kg) (one decimal place) 6. BMI (body mass index) 7. POC random cholesterol (mmol/L) (2 decimal places) 8. POC random glucose (mmol/L) (1 decimal place) 9. HIV status is: Based on (i) prior HIV testing history OR (ii) HIV PCR testing for ARK 10. Using the urine pregnancy test, is this participant pregnant? ( 11. ERY (erythrocytes, blood) 12. Hb (haemoglobin, blood) LEU (leucocytes) 13. NIT (nitrites) 14. PRO (protein) 15. hepatitis B surface antigen 16. Serum creatinine (umol/L) 17. Systolic BP(1) 18. Diastolic BP (1) 19. Systolic BP(2) 20. Diastolic BP (2) 21. Systolic BP(3) 22. Diastolic BP (3) 23. Serum creatinine (umol/L) 24. Urine microalbumin (mg/L) 25. Urine creatinine (mmol/L) 26. Urine microalbumin (mg/L) 27. Urine creatinine (mmol/L) 28. APOL1 haplotype