Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Meta-Analysis
. 2016 Apr;95(14):e3205.
doi: 10.1097/MD.0000000000003205.

The Effect of Malaria and HIV Co-Infection on Anemia: A Meta-Analysis

Affiliations
Meta-Analysis

The Effect of Malaria and HIV Co-Infection on Anemia: A Meta-Analysis

Cho Naing et al. Medicine (Baltimore). 2016 Apr.

Abstract

Malaria and human immunodeficiency virus (HIV) infections are globally important public health concerns. The objectives of this study were (i) to determine the prevalence of malaria and HIV co-infections in people living in endemic countries, and (ii) to assess the effect of co-infection on anemia.Studies were searched on electronic databases including PubMed, Embase, Medline, Google Scholar, and African Journals Online. Observational studies, assessing the prevalence of co-infection and reporting its association with anemia, were included. The methodological quality of included studies was assessed using a tool called the risk of bias assessment for non-randomized studies. Heterogeneity among studies was investigated with the I-square test. Pooled prevalence of the co-infection and its 95% confidence interval (CI) were estimated using the random-effect model, reflected on heterogeneity among studies. Summary odds ratio (OR), summary standardized mean difference (SMD), and their corresponding 95% CIs were estimated, as appropriate. Subgroup analysis and meta-regression were performed for robustness of results. Publication bias was assessed by visualization of a funnel plot.Twenty-three studies were included in the present study. Overall, the pooled prevalence of co-infection was 19% (95% CI: 15-23%, I: 98.1%), showing 26% (95% CI: 20-32%, I: 98.7%) in adults, 12% (95% CI: 7-17%, I: 95.0) in pregnant women, and 9% (95% CI: 6-11%, I: 68.6%) in children. Anemia was comparable between the monoinfected and co-infected adults (summary OR: 1.49, 95% CI: 0.93-2.37) and increased by 49% in co-infected pregnant women (summary OR: 1.49, 95% CI: 1.14-1.94). The mean hemoglobin concentration was significantly lower in the co-infected group than the monoinfected group (summary SMD: -0.47, 95% CI: -0.61 to -0.33). The results of meta-regression on the prevalence of co-infection using the publication year and total population as covariates showed the I value remained high implying a de facto random distribution of heterogeneity. An asymmetrical funnel plot indicated the presence of publication bias. Due to heterogeneity of the studies in this review, the results have to be interpreted with caution.The findings of this study suggest that the prevalence of malaria and HIV co-infection, particularly in pregnant women, requires special attention from healthcare personnel. Better understanding of the co-infection is crucial for designing treatment strategies. Future well-powered, prospective designs assessing the interaction between malaria and HIV are recommended.

PubMed Disclaimer

Conflict of interest statement

The authors have no funding and conflicts of interest to disclose.

Figures

FIGURE 1
FIGURE 1
PRISMA flow diagram indicating the study selection process.
FIGURE 2
FIGURE 2
Forest plot showing overall prevalence of co-infections.
FIGURE 3
FIGURE 3
Overall anemia comparing between the co-infection and the monoinfection groups.
FIGURE 4
FIGURE 4
Forest plot indicating the overall effect of malaria in HIV on anemia.
FIGURE 5
FIGURE 5
Meta-regression plot on prevalence of co-infection and size of denominator population.
FIGURE 6
FIGURE 6
Asymmetrical funnel plot in the presence of publication bias.

References

    1. Global technical strategy for malaria 2016–2030. World Health Organization [Online]. 2015 [cited 2015 Sept 12]; Available at: http://www.who.int/malaria/areas/global_technical_strategy/en/ (accessed September 12, 2015).
    1. Malaria and HIV interactions and their implications for public health policy. World Health Organization [Online]. 2004 [cited 2015 Sept 12]; Available at: http://www.who.int/hiv/pub/prev_care/malariahiv.pdf (accessed September 12, 2015).
    1. Guyatt HL, Snow RW. The epidemiology and burden of Plasmodium falciparum-related anemia among pregnant women in sub-Saharan Africa. Am J Trop Med Hyg 2001; 64 (1–2 Suppl):36–44. - PubMed
    1. Nguyen-Dinh P, Greenberg AE, Mann JM, et al. Absence of association between Plasmodium falciparum malaria and human immune-deficiency virus infection in children in Kinshasa, Zaire. Bull World Health Organ 1987; 65:607–613. - PMC - PubMed
    1. Cuadros DF, Branscum AJ, García-Ramos G. No evidence of association between HIV-1 and malaria in populations with low HIV-1 prevalence. PLoS One 2011; 6:e23458. - PMC - PubMed

Publication types