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Meta-Analysis
. 2024 Oct 16;24(1):2842.
doi: 10.1186/s12889-024-20331-0.

Coincidence of HCV and chronic kidney disease-a systematic review and meta-analysis

Affiliations
Meta-Analysis

Coincidence of HCV and chronic kidney disease-a systematic review and meta-analysis

Rabia Nawaz et al. BMC Public Health. .

Abstract

Background: There are reported studies of Hepatitis C and chronic kidney disease association. However, how this liver virus infection affects the general population's susceptibility to the onset of the kidney disease is still unknown.

Methods: To determine if a positive anti-HCV serologic status is linked to a greater incidence of chronic kidney disease in the general adult population, a systematic evaluation of the published medical literature since 2015 was conducted. A summary estimate of the relative risk of chronic kidney disease with HCV was produced using a random-effects model. Moreover, stratified analysis and meta-regression were performed.

Results: Twelve studies (n = 605858 patients) were filtered and included. Meta-analyses were conducted according to the outcome. Pooling results of longitudinal studies (n = 06 studies, n = 347120 unique patients) demonstrated an association between positive anti-HCV serologic status and increased incidence of CKD. The summary estimate for adjusted hazard ratio was 1.21 with (95% confidence interval 1.13; 1.29, P = 0.001), and between studies heterogeneity was noted (P value by Q test < 0.001). In the subset of Asian surveys, the risk of the occurrence of chronic kidney disease linked to HCV was 1.70 (95% confidence interval 1.40; 2.00) without heterogeneity (P value by Q test = 0.6).

Conclusions: We found a strong correlation between HCV infection and a higher risk of chronic renal disease in general global population.

Keywords: Chronic kidney disease; End stage renal disease; HCV; Incidence rate ratio; Newcastle ottawa Scale.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Flow diagram of selected number of studies

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