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Item Dataset from Ark Consortium - Understanding kidney disease in rural central Uganda - Findings from a qualitative study.(2016-11-09) Saraladevi, Naicker; June, Fabian; Working group ARK Consortium,; Seeley, Janet; Kabunga, Elizabeth; Laurie, Tomlinson; Liam, Smeeth; Moffat, Nyirenda; Robert, Newton; Robert, Kalyesubula; Dominic, Bukenya; Joseph SsembatyaItem Dataset from: Clinicopathological correlation of kidney disease in HIV infection pre- and post- ART rollout: VERSION 2(2022-04-14) Diana, Nina Elisabeth; Davies, Malcolm; Mosiane, Pulane; Vermeulen, Alda; Naicker, SaraladeviData note Methods Ethics approval for this study was granted in writing by the Human Research Ethics Committee (Medical) of the University of the Witwatersrand, Johannesburg, South Africa (clearance certificate numbers M1511104, M121184, M120874). This approval permitted a record review of all HIV-positive patients who underwent a kidney biopsy at two tertiary hospitals in Johannesburg within the defined study period. Informed consent for this retrospective record review was waived. Data from included patients was anonymised prior to statistical analysis. Renal biopsies performed at these two tertiary hospitals, on HIV-positive individuals, from January 1989 to December 2014 were retrospectively analysed. Demographic data (age, sex and race), clinical parameters (CD4 count, HIV viral load, serum creatinine and urine protein creatinine ratio), indication for biopsy and renal histological pattern was recorded at time of kidney biopsy. The estimated glomerular filtration rate (eGFR) was calculated according to the CKD-EPI creatinine equation without ethnicity correction. ART rollout began in April 2004 in South Africa. Patients were divided into 2 groups - those who were biopsied pre-ART rollout and those biopsied post-ART rollout. These two groups were compared with respect to the above parameters. In a subgroup of the patients biopsied between 2004 and 2014, additional data laboratory parameters (serum haemoglobin, serum albumin, serial serum creatinine and eGFR) and ART use (at time of biopsy) were recorded. All renal biopsies were processed according to standard techniques for light microscopy, immunofluorescence and electron microscopy. All biopsies were reviewed by the National Health Laboratory Service histopathology team who were aware of the HIV status of the patient at time of biopsy. Histological diagnoses were tabulated using the 2018 Kidney Disease Improving Global Outcomes (KDIGO) Controversies Conference guidelines. As per this guideline FSGS (NOS) in the setting of HIV describes all non-collapsing forms of FSGS. Those ICGN with no identifiable comparative etiology other than HIV were categorized as uncharacterized ICGN with no etiology other than HIV. The biopsies with multiple diagnoses were assigned its major clinical-pathological diagnosis for the purposes of analysis. All data was collected by Dr Nina Diana and Dr Alda Vermeulen from paper based patient hospital records and the electronic hospital laboratory system. All data was checked twice to ensure accuracy. Each patient was allocated a study number and data anonymised prior to entry into Microsoft Excel. Shapiro Wilk W testing and visual inspection of the histogram plot indicated non-parametric distribution of baseline characteristics of the cohort; accordingly, central and dispersal measurements were described using the median and interquartile range (IQR), and the Kruskal Wallis ANOVA and Mann-Whitney U tests were used for comparative analyses. Kidney survival, defined by an eGFR above threshold for consideration for dialysis initiation in these institutions (15mL/min/1.73m²), censored for patient default with preserved function, was fitted for patients in the subgroup using the Kaplan Meyer method; histological diagnoses were compared using Log-rank testing.Item Institutionalizing research capacity strengthening in LMICs: A systematic review and meta-synthesis(2020) Vicente-Crespo, M; Agunbiade, M.O; Eyers, J.; Thorogood, M; Fonn, SItem Wits Face Database(2020-11-02) Bacci, Nicholas; Davimes, Joshua; Steyn, Maryna; Briers, Nanette; Data Manager: N Bacci,The human face is important in social, cultural and recognition contexts. Many research fields make use of faces to understand human interaction and identify individuals. Studies relying on facial image data often make use of ad hoc datasets specifically created for those studies as there is a dearth of large scale controlled and matching facial image databases. Actualistic (taken in a real life, natural setting) and standardised databases of facial images can be of extreme value to many research areas, such as facial identification and recognition. While multiple face databases are available, the majority, if not all, are developed in order to address very specific questions and hypotheses with limited standardisation, severely limiting their potential applicability. The Wits Face Database was developed as a generic, yet actualistic dataset of facial images obtained from consenting young adult South African male individuals. This database consists of high resolution standardised facial photographs (3264 x 4080 pixels) and corresponding closed-circuit television (CCTV) recordings of male South Africans under different camera conditions. A total of 6220 standardised (clothing and background controlled) and natural (visible clothing and out of focus background) facial photographs of 622 matching individuals in five different views are included. Corresponding CCTV footage of 334 of these individuals is also included. Across both the CCTV recordings and the photographs, the faces were captured in five different views: anterior, left 45-degree, left lateral, right 45-degree, and right lateral. The CCTV recordings were grouped under the following actualistic conditions: a standard internet protocol (IP) CCTV set-up, a low-resolution analogue CCTV set-up, an eye-level IP CCTV system, and the standard IP CCTV set-up with the addition of sunglasses and caps for target individuals. A detailed description of the composition and acquisition process of the database will be made available in a database descriptor publication format. The database is available strictly for non-commercial scientific research following approval of a formal application, assessed by the School of Anatomical Sciences’ Collections Committee within the University of the Witwatersrand.