Anemia and its predictors among chronic kidney disease patients in Sub-Saharan African countries: A systematic review and meta-analysis.

Autor: Taderegew MM; Department of Biomedical Sciences, College of Medicine and Health Sciences, Wolkite University, Wolkite, Ethiopia., Wondie A; Department of Biomedical Sciences, College of Medicine and Health Sciences, Wolkite University, Wolkite, Ethiopia., Terefe TF; Department of Nursing, College of Medicine and Health Sciences, Wolkite University, Wolkite, Ethiopia., Tarekegn TT; Department of Nursing, College of Medicine and Health Sciences, Wolkite University, Wolkite, Ethiopia., GebreEyesus FA; Department of Nursing, College of Medicine and Health Sciences, Wolkite University, Wolkite, Ethiopia., Mengist ST; Department of Nursing, College of Medicine and Health Sciences, Wolkite University, Wolkite, Ethiopia., Amlak BT; Department of Nursing, College of Medicine and Health Sciences, Wolkite University, Wolkite, Ethiopia., Emeria MS; Department of Nursing, College of Medicine and Health Sciences, Wolkite University, Wolkite, Ethiopia., Timerga A; Department of Biomedical Sciences, College of Medicine and Health Sciences, Wolkite University, Wolkite, Ethiopia., Zegeye B; HaSET Maternal and Child Health Research Program, Shewarobit Field Office, Shewarobit, Ethiopia.
Jazyk: angličtina
Zdroj: PloS one [PLoS One] 2023 Feb 02; Vol. 18 (2), pp. e0280817. Date of Electronic Publication: 2023 Feb 02 (Print Publication: 2023).
DOI: 10.1371/journal.pone.0280817
Abstrakt: Introduction: Anemia is a serious complication of chronic kidney disease (CKD) with a significant adverse outcome on the burden and progression of the disease. Hence, the study intended to assess the pooled prevalence of anemia and its predictors among CKD patients in Sub-Saharan African nations.
Methods: To identify the relevant studies systematic searches were carried out in Medline, EMBASE, HINARI, Google Scholar, Science Direct, and Cochrane Library. From selected studies, data were taken out with a standardized data extraction format prepared in Microsoft Excel. Inverse variance (I2) tests were employed to evaluate the heterogeneity across the included studies. Due to substantial heterogeneity among the studies, a random-effects meta-analysis technique was employed to estimate the pooled prevalence of anemia. Subgroup analysis, sensitivity analysis, and meta-regression analysis were carried out to search the possible bases of heterogeneity. Funnel plot symmetry, Begg's test, and Egger's regression test were employed to assess the existence of publication bias. In addition, factors associated with anemia among CKD patients were examined. All statistical analyses were carried out with STATA™ Version 14 software.
Results: A total of 25 studies with 5042 study participants were considered in this study. The pooled prevalence of anemia among CKD patients was estimated to be 59.15% (95% CI, 50.02-68.27) with a substantial level of heterogeneity as evidenced by I2 statistics (I2 = 98.1%; p < 0.001). Stage of CKD (3-5) (pooled odds ratio (POR) = 5.33, 95% CI:4.20-6.76), presence of diabetes mellitus (POR = 1.75, 95% CI: 1.10-2.78), hemodialysis history (POR = 3.06, 95% CI: 1.63-5.73), and female sex (POR = 2.50, 95% CI: 1.76-3.55) were significantly related with anemia.
Conclusions: More than half of CKD patients were suffering from anemia. Stage of CKD, presence of DM, hemodialysis history, and being female sex were factors associated with anemia among CKD patients.
Competing Interests: The authors have declared that no competing interests exist.
(Copyright: © 2023 Taderegew et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
Databáze: MEDLINE
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