Dataset Information

The world prevalence, associated risk factors and mortality of hepatitis C virus infection in hemodialysis patients: a meta-analysis.

ABSTRACT:

Background

The worldwide burden of HCV infection among hemodialysis patients has not been systematically examined.

Methods

A systematic literature search was conducted in MEDLINE and Scopus to determine the worldwide prevalence of HCV infection, risk factors, and clinical outcomes among hemodialysis patients. Random-effect models and meta-regressions were used to generate pooled estimates and assess heterogeneity.

Results

Four hundred and seven studies with 1,302,167 participants were analyzed. The pooled prevalence of HCV infection was 21%. The highest prevalence was observed in Africa (28%) and low-income countries (48.5%). A significant prevalence decline was observed following the publication year and was also inversely related to GDP and total population of each country. Factors associated with HCV positivity included younger age, longer dialysis duration, more blood transfusions, and dialyzer reuse. The pooled unadjusted hazard ratio for all-cause mortality was 1.12 (95% CI 1.03-1.22), and the adjusted hazard ratio was 1.21 (95% CI 1.12-1.30) in HCV-infected compared to non-HCV infected patients.

Conclusions

HCV infection among hemodialysis patients is a worldwide shared burden and is associated with a higher risk of death. Avoiding unnecessary blood transfusion and dialyzer reuse should be encouraged to prevent HCV transmission in hemodialysis units.

SUBMITTER: Greeviroj P

PROVIDER: S-EPMC9666992 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature

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Publications

The world prevalence, associated risk factors and mortality of hepatitis C virus infection in hemodialysis patients: a meta-analysis.

Greeviroj Primploy P Lertussavavivat Tanat T Thongsricome Thana T Takkavatakarn Kullaya K Phannajit Jeerath J Avihingsanon Yingyos Y Praditpornsilpa Kearkiat K Eiam-Ong Somchai S Susantitaphong Paweena P

Journal of nephrology 20221116 9

<h4>Background</h4>The worldwide burden of HCV infection among hemodialysis patients has not been systematically examined.<h4>Methods</h4>A systematic literature search was conducted in MEDLINE and Scopus to determine the worldwide prevalence of HCV infection, risk factors, and clinical outcomes among hemodialysis patients. Random-effect models and meta-regressions were used to generate pooled estimates and assess heterogeneity.<h4>Results</h4>Four hundred and seven studies with 1,302,167 partic ...[more]

PMID: 36383211

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Project description:BackgroundPlasmodium spp. and hepatitis B virus (HBV) are among the most common infectious diseases in underdeveloped countries. This study aimed to determine the prevalence of Plasmodium spp. and HBV co-infection in people living in endemic areas of both diseases and to assess the risk factors related to this co-infection.MethodsThe PubMed, Web of Science, and Scopus databases were searched. Observational cross-sectional studies and retrospective studies assessing the prevalence of Plasmodium species and HBV co-infection were examined. The methodological quality of the included studies was assessed with the Newcastle-Ottawa Scale (NOS), a tool for assessing the quality of nonrandomized studies in meta-analyses, and heterogeneity among the included studies was assessed with Cochran's Q test and the I2 (inconsistency) statistic. The pooled prevalence of the co-infection and its 95% confidence interval (CI) were estimated using the random-effects model, depending on the amount of heterogeneity there was among the included studies. The pooled odds ratio (OR) represented the difference in qualitative variables, whereas the pooled mean difference (MD) represented the difference in quantitative variables. Meta-analyses of the potential risk factors for Plasmodium spp. and HBV co-infection, including patient age and gender, were identified and represented as pooled odds ratios (OR) and 95% CIs. Publication bias among the included studies was assessed by visual inspection of a funnel plot to search for asymmetry.ResultsTwenty-two studies were included in the present systematic review and meta-analysis. Overall, the pooled prevalence estimate of Plasmodium spp. and HBV co-infection was 6% (95% CI 4-7%, Cochran's Q statistic < 0.001, I2: 95.8%), with prevalences of 10% in Gambia (95% CI: 8-12%, weight: 4.95%), 8% in Italy (95% CI 5-12%, weight: 3.8%), 7% in Nigeria (95% CI 4-10%, weight: 53.5%), and 4% in Brazil (95% CI 2-5%, weight: 19.9%). The pooled prevalence estimate of Plasmodium spp. and HBV co-infection was higher in studies published before 2015 (7%, 95% CI 4-9%, Cochran's Q statistic < 0.001, I2: 96%) than in those published since 2015 (3%, 95% CI 1-5%, Cochran's Q statistic < 0.001, I2: 81.3%). No difference in age and risk of Plasmodium spp. and HBV co-infection group was found between the Plasmodium spp. and HBV co-infection and the Plasmodium monoinfection group (p: 0.48, OR: 1.33, 95% CI 0.60-2.96). No difference in gender and risk of Plasmodium spp. and HBV co-infection group was found between the Plasmodium spp. and HBV co-infection and HBV co-infection group and the Plasmodium monoinfection group (p: 0.09, OR: 2.79, 95% CI 0.86-9.10). No differences in mean aspartate aminotransferase (AST), mean alanine aminotransferase (ALT), or mean total bilirubin levels were found (p > 0.05) between the Plasmodium spp. and HBV co-infection group and the Plasmodium monoinfection group.ConclusionsThe present study revealed the prevalence of Plasmodium spp. and HBV co-infection, which will help in understanding co-infection and designing treatment strategies. Future studies assessing the interaction between Plasmodium spp. and HBV are recommended.

Dataset Information

The world prevalence, associated risk factors and mortality of hepatitis C virus infection in hemodialysis patients: a meta-analysis.

Background

Methods

Results

Conclusions

Publications

The world prevalence, associated risk factors and mortality of hepatitis C virus infection in hemodialysis patients: a meta-analysis.

Similar Datasets

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