Acute kidney injury and its predictors among HIV-positive patients in Africa: Systematic review and meta-analysis

Abere Woretaw Azagew, Hailemichael Kindie Abate, Yohannes Mulu Ferede and Chilot Kassa Mekonnen

PLOS ONE, 2024, vol. 19, issue 2, 1-16

Abstract: Background: cute kidney injury(AKI) is a rapid loss of the kidney’s excretory function, resulting in an accumulation of end products of nitrogen metabolism. The causes of AKI in HIV-positive patients are not well investigated, but it may be associated with antiretroviral drug side effects and HIV itself. Even though there were studies that reported the prevalence of AKI among HIV-positive patients in Africa, their findings were inconsistent across the studies. Methods: We searched on PubMed, Embas, Ebsco, OVID, Cochrane Library, and other supplementary search engines, including Google and Google Scholar. Articles published upto July 2023 were included in this review study. The quality of the study was assessed using the Newcastle-Ottawa Scale for cross-sectional, case-control, and cohort studies. The data were extracted using a Microsoft Excel spreadsheet and exported to Stata version 14 for analysis. A random effect meta-analysis model was used to estimate the pooled prevalence of AKI among HIV-positive patients. Heterogeneity was evaluated using Cochrane Q statistics and I squared (I2). Furthermore, the graphic asymmetric test of the funnel plot and/or Egger’s tests were computed to detect publication bias. Sensitivity analysis was computed to see the effect of a single study on the summary effects. To treat the publication bias, a trim and fill analysis was carried out. The protocol of this review has been registered in an international database, the Prospective Register of Systematic Reviews (PROSPERO),with reference number CRD42023446078. Results: A total of twenty-four original articles comprising 7913HIV-positive patients were included in the study. The pooled prevalence of AKI among HI-positive patients was found to be 23.35% (95% CI: 18.14–28.56%, I2 = 97.7%, p-value

Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0298302

DOI: 10.1371/journal.pone.0298302

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