JAIDS Journal of Acquired Immune Deficiency Syndromes:
Epidemiology and Social Science
Impact of HIV-1 Infection on the Hematological Recovery After Clinical Malaria
Van geertruyden, Jean-Pierre MD, PhD*; Mulenga, Modest MD, PhD†; Chalwe, Victor MD, MSc†; Michael, Nambozi MD†; Moerman, Filip MD, MSc*; Mukwamataba, Doreen†; Colebunders, Robert MD, PhD*‡; D'Alessandro, Umberto MD, PhD*
From the *Departments of Parasitology, and Clinical Sciences, Institute of Tropical Medicine, Antwerp, Belgium; †Department of Clinical Sciences, Tropical Disease Research Center, Ndola, Zambia; and ‡Faculty of Medicine, University of Antwerp, Antwerp, Belgium.
Received for publication May 16, 2008; accepted September 29, 2008.
Supported by funding from the Belgian Development Cooperation in the framework of an institutional collaboration between the Tropical Disease Research Center in Ndola and the Institute of Tropical Medicine in Antwerp. Budget number: 96603.
Presented in part at the 5th European Congress on Tropical Medicine and International Health, Amsterdam, The Netherlands; and Van geertruyden JP, Mulenga M, Chalwe V, Nambozi M, Mukwamataba D, Colebunders R, D'Alessandro U. Impact of HIV-1 infection on the hematological recovery after a clinical malaria attack [abstract O28-31]. In: Abstracts of the 5th European Congress on Tropical Medicine and International Health, Amsterdam, The Netherlands. Trop Med Int Health. 2007;12(S1):137.
Conflict of interest stated: On behalf of my coauthors, I declare that none of the coauthors have stated any conflict of interest regarding the content of this article.
Trial registry: http://www.clinicaltrials.gov/; reference number NCT00304980.
Correspondence to: Jean-Pierre Van geertruyden, MD, PhD, Department of Parasitology, Unit of Epidemiology, Institute of Tropical Medicine, Nationalestraat 155, B2000 Antwerp, Belgium (e-mail: firstname.lastname@example.org).
Background: Anemia is the most frequent cytopenia in HIV-infected individuals and is often associated with malaria.
Objective: To assess the impact of HIV-1 on the hematological recovery after a clinical malaria episode.
Methods: In Ndola, Zambia, a region with high malaria and HIV prevalence, hemoglobin (Hb) was measured in 634 malaria patients 14 and 45 days after antimalarial treatment. Risk factors for hematological recovery were analyzed in a multivariate linear regression model.
Results: At enrollment, HIV-1-infected malaria patients had lower Hb compared with HIV-1 uninfected (122.7 vs 136.0 g/L; P < 0.001). In both groups, mean Hb was significantly lower at day 14 posttreatment than day 0 (P < 0.0001) and significantly higher at day 45 than at day 14 (HIV-1 negative: P = 0.0001; HIV-1 infected: P = 0.005). HIV-1 was a risk factor for a larger Hb decrease until day 14 (P < 0.001) and slower recovery until day 45 (P = 0.048). When considering the whole 45-day follow-up period, mean Hb increased in the HIV-1-negative group (+3.54 g/L; 95% confidence interval: 1.37 to 5.70; P = 0.001) but not in the HIV-1-infected group (−0.72 g/L; 95% confidence interval: −3.85 to +2.40; P = 0.64). HIV-1 infection as such (P < 0.0001), not CD4 cell count (P = 0.46), was an independent risk factor for a slower hematological recovery.
Conclusions: HIV-1-infected malaria patients had a slower hematological recovery after successful parasite clearance. Malaria preventive measures should be targeted to this high-risk group.
Due to the epidemiological overlap, particularly in eastern and southern Africa, coinfection with HIV-1 and malaria is a common phenomenon. Both HIV and malaria contribute to anemia in individuals and populations. In malaria-infected patients, although parasitized red blood cells (RBC) are destroyed and cleared by the reticuloendothelial system, the major contributor to anemia is the accelerated destruction of uninfected RBC, probably through immune mechanisms.1 Additionally, impaired erythropoiesis decreases the RBC production and iron mobilization.2 These mechanisms remain active for several weeks after a clinical malaria episode and partially explain why anemia may worsen, even after the malaria infection has been cleared.1 Anemia is also the most frequent cytopenia during HIV infection due to bone marrow suppression by medications, hemolysis, gastrointestinal bleeding, nutritional deficiencies, various opportunistic infections (eg, mycobacterial infections), and diminished erythropoietin response.3 Furthermore, anemia, regardless of the cause, is thought to be a strong independent predictor of mortality in HIV-infected persons, including those who have access to antiretroviral therapy.4,5
Few studies have addressed the role of HIV-malaria coinfection as a risk factor for anemia. Both infections have specific and different hematological effects that seem to have at least an additive effect. It has been shown that a clinical malaria episode in HIV-1-infected individuals, infants,6 and adults7,8 alike results in a lower mean hemoglobin (Hb) than in HIV-1-uninfected patients, with infants having a higher risk of severe anemia.9 We have assessed in HIV-1-infected and HIV-1-uninfected adults the impact of antimalarial treatment on Hb and the results are reported below.
This is a specific analysis of a randomized clinical trial assessing the impact of HIV immune suppression on malaria treatment efficacy.8 The trial was performed between March 2003 and June 2005 at 4 periurban health centers in Ndola, Zambia, an area of mesoendemic malaria. HIV-1 prevalence is estimated at 25.2% among women attending antenatal clinics.10 All individuals aged 15-50 years with fever (body temperature ≥37.5°C) and/or history of fever in the previous 48 hours, and without any other disease symptom, were screened for malaria infection (thick and thin blood film in duplicate for parasite density and species identification) and pregnancy (if applicable). Patients with a Plasmodium falciparum monoinfection with a density of at least 25 parasites per 200 white blood cells (WBC) (assumed to be 1000 parasites/μL) or more were included. Internal quality control was organized as recommended by the World Health Organization (WHO).11 A written informed consent (in English and in the local language), including permission to undergo double-blinded testing for HIV-1 infection (at the central laboratory), was obtained from each patient before recruitment. Patients were randomized to either artemether-lumefantrine (AL) or sulfadoxine-pyrimethamine (SP) treatment. None of the patients took antiretroviral drugs or co-trimoxazole prophylaxis at the moment this study was conducted. Exclusion criteria included the following: pregnancy; documented intake of any sulfa drug or any antimalarial treatment, including SP or AL, within the 2 weeks before recruitment; having taken any other antimalarial drug during study follow-up; history of allergy to study drugs or known allergy to other sulfa drugs such as co-trimoxazole; nonresident of the study area; severe P. falciparum malaria as defined according to the WHO criteria;11 consent withdrawal; presence of other coinfections; or clinical or laboratory findings indicating underlying chronic diseases (cardiac, renal, hepatic, malnutrition). For the latter, as HIV prevalence in adults is known to be high, standard clinical examinations and questionnaires in accordance to the WHO Integrated Management of Adult and Adolescent Illness12 excluded with reasonable confidence persistent lymphadenopathy and HIV-related clinical events indicating HIV stages 2-4. Patients with an Hb below 70 g/L were also excluded as this is part of the definition of severe malaria.
For this analysis, we excluded patients who presented recurrent parasitemia or recurrent fever and patients who took hematinics such as ferrous sulfate, folic acid, or other medications that might influence Hb. Moderate anemia was defined as an Hb between 70 and 120 g/L in women and 70 and 130 g/L in men.13 The study was approved by the ethical and scientific committees of the Institute of Tropical Medicine, Antwerp, Belgium, and the Tropical Diseases Research Center, Ndola.
Clinical history, symptoms, and signs were recorded, and a blood sample for parasitemia (blood slide) and genotyping (on Schleicher & Schuell filter paper) were collected at days 0, 3, 7, 14, 21, 28, 45, and at any unscheduled visit. At day 0 (before treatment), 3 mL of venous blood was collected for Hb, HIV testing, and CD4 cell count. Hb was measured by HaemoCue (HemoCue, Angelholm, Sweden) at days 0, 14, and 45 with a precision of 0.1 g/dL. The HaemoCue was calibrated before every session using the provided standard. Blood samples were sent to the central laboratory within 2 hours where HIV-1 status and CD4 count were assessed anonymously. Blood samples were tested for HIV using the Abbott Determine (Abbott Laboratories, Tokyo, Japan) test. If negative, the patient was considered HIV negative. If the sample was positive, a second test, Genie II (BioRad; Sanofi Diagnostics Pasteur, Marne La Moquette, France), was performed. If the result was discordant with the previous test, that is, negative, a final test, Capillus½ (Biognost; Cambridge Diagnostics, Galway, Ireland), was done and considered as the final result. CD4 cell count was performed on all HIV-infected individuals with direct volumetric absolute counting14 (Cyflow Counter, Partec, Germany). A FACSCount machine (Becton Dickinson, Franklin Lakes, NJ) was used to validate the Cyflow data and served as a back up. WBC count was done using automated hematological analyzer (micro Cobas; Hoffman La Roche, Basel, Switzerland). Neither the study staff nor the patient had access to the HIV-1 test results. Patients wanting to know their HIV-1 status were offered voluntary counseling and testing adjacent to the study. Patients were encouraged to attend the health facility outside scheduled visits if they felt ill.
This analysis was performed to assess the importance of HIV-1 infection as a risk factor for anemia in patients with clinical malaria and the impact of malaria treatment on the hematological recovery. The primary endpoint was the Hb increase 45 days after successful antimalarial treatment. Adequate clinical and parasitological response for this analysis was defined as no malaria infection and no fever at day 45. Data were double entered and cleaned in Epi-info (version 6.04b; Centers for Disease Control and Prevention). Proportions were compared using the χ2 or Fisher exact test (when required); Student t test was used for continuous variables. A paired t test was used for within-patient comparisons. Nonnormally distributed variables were transformed or nonparametric tests (Wilcoxon or Kruskal-Wallis) used. Univariate linear regression analyses were performed. All possible interactions up to order 2 were tested and all modifying risk factors or reporting P value <0.10 were maintained in a multivariate linear regression model. All reported P values are 2 sided. All analyses were performed using STATA statistical analysis software package version 10 (Stata Corp, College Station, TX).
Of the 971 patients enrolled, 818 were still followed up at day 14 (range 11-18 days) (Fig. 1). Hb was measured in 88.3% of them. At day 45 (range 42-58 days), 661 patients enrolled fulfilled the selection criteria and Hb was measured in 634 of them (92.9%). Among them, 217 (32.8%) were HIV-1 infected. Hb was not available at day 14 for 11.5% (51/444) of HIV-1-negative patients and 10.1% (22/217) of HIV-1-infected patients. Hb was not available at day 45 for 5.4% (24/444) of HIV-1-negative patients and 1.4% (3/217) of HIV-1-infected patients. Patients not included in the analysis at any follow-up visit had similar demographic and clinical characteristics as the patients included.
At enrollment, mean Hb [122.7 g/L, 95% confidence interval (CI): 119.7 to 125.8, vs 136.0 g/L, 95% CI: 134.1 to 137.9; P < 0.001] and WBC count 5.0 × 106/μL vs 5.3 × 106/μL; P = 0.02) were significantly lower in HIV-1-infected individuals (Table 1, Fig. 2A). Prevalence of anemia was also significantly higher in HIV-1-infected patients (47.5%, 95% CI: 40.7 to 54.3) as compared with HIV-1-negative ones (25.7%, 95% CI: 21.7 to 30.0) (P < 0.001) (Fig. 2B). Among HIV-1-infected patients, low Hb was associated with low CD4 cell count (P < 0.001), female gender (P < 0.0001), and low bodyweight (P < 0.03).
By day 14, posttreatment, mean Hb compared with day 0 had decreased both in HIV-1-uninfected (−4.2 g/L; 95% CI: −5.8 to −2.5; paired t test: P < 0.0001) and HIV-1-infected patients (−5.0 g/L; 95% CI: −7.2 to −2.8; paired t test: P < 0.0001), though the Hb decrease between the 2 groups of patients was not statistically significant (HIV-1 positive vs HIV-1 negative: P = 0.23). However, mean Hb at day 14 was significantly lower in HIV-1-infected than HIV-1-uninfected patients (116.9 g/L; 95% CI: 114.2 to 119.7 vs 132.4 g/L; 95% CI: 130.6 to 134.2; P < 0.0001) (Fig. 2A). Similarly, the prevalence of anemia between days 0 and 14 increased both in HIV-1-negative (31.6%, 95% CI: 27.0 to 36.4; P = 0.06) and HIV-1-infected patients (64.1%, 95% CI: 56.9 to 70.8; P < 0.0001) (Fig. 2B). A larger Hb decrease at day 14 was associated with HIV-1 infection, higher parasite load, higher Hb values at enrollment, and SP treatment (all P < 0.001) (Table 2). In HIV-1-infected patients, CD4 cell count at enrollment was not associated with Hb changes at day 14 (P = 0.78).
Between days 14 and 45, Hb increased in both HIV-1-uninfected (+7.8 g/L; 95% CI: 5.7 to 10.0; paired t test: P = 0.0001) and HIV-1-infected patients (+4.2 g/L; 95% CI: 1.2 to 7.0; paired t test: P = 0.005) (Fig. 2A). Such increment was lower in HIV-1-infected than in HIV-1-uninfected patients (P = 0.04). Anemia prevalence decreased to 16.2% (95% CI: 12.8 to 20.1) in HIV-1-uninfected patients (P < 0.001) and to 45.7% (95% CI: 38.8 to 52.7) in HIV-1-infected ones (P < 0.0001) (Fig. 2B). A lower Hb increase between days 14 and 45 was not only associated with HIV-1 infection but also with a lower parasite load (P < 0.001), higher Hb values at enrollment (P = 0.001), female gender (P = 0.002), and older age (P = 0.03) (Table 2). The magnitude of hematological recovery was not influenced by impaired cellular immunity as measured by CD4 count (P = 0.46).
When considering the whole 45-day follow-up period, Hb significantly increased, compared with day 0, in HIV-1-uninfected patients (+3.54 g/L; 95% CI: 1.37 to 5.70; paired t test: P = 0.001) but not in HIV-1-infected patients (−0.72 g/L; 95% CI: −3.85 to 2.40; paired t test, P = 0.64). The difference in mean Hb between HIV-1-infected (122.5 g/L; 95% CI: 119.3 to 125.7) and HIV-1-uninfected patients (139.2 g/L; 95% CI: 137.0 to 141.4) became more pronounced by day 45 (P < 0.0001) (Fig. 2A). Compared with enrollment, prevalence of anemia at day 45 was significantly lower in HIV-1-uninfected patients (P = 0.0006) but not in HIV-1-infected ones (P = 0.88) (Fig. 2B). Older age (P < 0.002), female gender (P < 0.001), higher Hb values at enrollment (P < 0.001), and HIV-1 infection (P < 0.001) were all risk factors for a smaller Hb increment at day 45 (all P < 0.001; Table 2, last column).
Patients With Treatment Failure at Day 45
Fifty-two patients (30 HIV-1-negative and 22 HIV-1-infected patients) had a recurrent parasitemia at day 45. In these patients, mean Hb at enrollment (132.3 g/L in HIV-1-negative patients and 124.5 g/L in HIV-1-infected patients) was similar than in those without recurrent parasitemia. The mean difference of Hb between days 0 and 45 was negative in both HIV-1-negative (−7.8 g/L; paired t test P = 0.09) and HIV-1-positive patients (−8.8 g/L; paired t test P = 0.06) and almost reached statistical significance despite the very low statistical power.
In our study, as expected, at enrollment, Hb was lower in HIV-1-infected than in HIV-1-uninfected malaria patients, and after successful malaria treatment, both groups showed a fall and rise in Hb within the follow-up period. After multivariate analysis, HIV infection was a risk factor for a more important Hb decline and a slower hematological recovery. Therefore, 45 days after successful malaria treatment, the mean Hb in HIV-infected patients was similar to that during the malaria attack, whereas HIV-negative patients were already recovering.
In this selected cohort, compared with HIV-negative malaria patients, the HIV-1-positive malaria patients were older, had a slightly lower Hb level, and women were more represented. These findings are consistent with the epidemiology of HIV-1 in Zambia and with the overall trial findings.10,8
Patients with an underlying disease such as those with symptomatic AIDS or severe malaria, including hyperparasitemia and severe anemia (Hb < 70 g/L), were excluded. Therefore, our study patients represent a selected group with an Hb higher than that found in the whole population of HIV-1-infected individuals with clinical malaria.
At day 14, a larger Hb decline was associated with higher parasitemia, higher Hb at enrollment, and SP treatment. This confirms that the risk factors responsible for a lower Hb during a malaria episode remain active at least 14 days after successful treatment. Furthermore, compared with an efficacious and rapidly acting drug such as AL, the slower acting SP was a risk factor for a greater Hb decline observed at day 14. After adjustment, HIV-1 infection was retained as an independent risk factor for a greater Hb decline. As the degree of immune suppression did not influence the Hb decline, the mechanisms behind these greater decline in HIV infected are unclear. In this phase, the major contributor to the hemolytic anemia is the accelerated destruction of uninfected RBC,15 probably linked to immune mechanisms.1,16 Considering that there is a chronic activation of the immune system by the HIV infection, this may explain the probable accelerated destruction of uninfected RBC in this group of patients.
From 14 days onward, when the malaria-related factors contributing to hemolytic anemia have presumably abated, HIV-1 infection remained, next to higher Hb, lower parasitemia at day 0, and female gender and age, an independent risk factor for a slower hematological recovery. The slow hematological recovery was also not associated with the degree of immune suppression and could be explained by the impairment of the erythropoiesis and of the iron mobilization.17 It is unclear if the myelosuppressive effect of HIV-1 on the host erythropoietic system was enhanced due to a synergistic interaction between HIV-1 and malaria. The drug regimen did not have any influence on the hematological recovery, obviously because patients with recurrent parasitemia were excluded. The administration of the longer acting SP has been associated with lower rates of new infections, and this effect could provide an additional protection against anemia (compared with AL). However, this may be true when SP resistance is low. In this study, there was no difference in the occurrence of new infections between the 2 study arms, whereas recrudescences were much more frequent in the SP arm (reported in18). Such a little or no prophylactic effect related to SP indicates that resistance to this treatment was high with recurrent infections further decreasing Hb.
A faster Hb decline at day 14 and a better recovery afterward were both related to higher parasitemia levels. The faster decline was expected, but the physiopathological mechanisms behind the faster recovery are unclear.
Our data add to the evidence that HIV-1-infected patients represent, next to children and pregnant women, an additional vulnerable group for malaria.19,20 Female gender and age are well-known risk factors for both a slower Hb recovery and for HIV-1 infection. Furthermore, HIV-1 immune suppressed individuals have a higher risk of malaria infection and disease, a higher parasite load during a clinical malaria episode, and more likely to fail the treatment.8,19 This could rapidly lead to a vicious circle in which frequent malaria infections, even if successfully treated, may prevent a full hematological recovery and further worsen the anemia in a modest but stepwise manner. This is well illustrated in our patients with recurrent parasitemia at day 45, who had a lower Hb level at day 45 than at enrollment. This is worrying for all HIV-malaria-coinfected patients as there was no correlation with the degree of immune suppression. Furthermore, in immune suppressed patients, anemia is an independent prognostic marker of HIV disease progression.21 Therefore, HIV treatment guidelines recommend to start antiretroviral treatment for any “persistent unexplained anemia,” operationally defined as anemia that does not have any other apparent cause and fails to respond to the combination of anthelmintics, hematinics, and antimalarials after 1 month.12 Considering that in successfully treated patients Hb had not increased after 45 days, the diagnosis of persistent unexplained anemia should be done only after a longer period, possibly 2 or 3 months, from the clinical attack. Furthermore, as reported before, the absolute CD4 count, the chosen marker to monitor the progression of HIV-1 infection, is also altered during or just after a clinical malaria episode.22 Finally, patients with a low CD4 count or clinical stage 4, and eventually stage 3 or stage 4, should be given antiretroviral treatment or co-trimoxazole prophylaxis, both of them influencing the hematological status and possibly causing anemia.23 Therefore, this subgroup should be carefully evaluated.
Recent estimates show almost half of the world's malaria is in holoendemic areas.24 Clinicians and program managers working in areas where both diseases are prevalent should be aware that malaria and HIV-1 infection have specific and different but synergistic hematological effects. Prompt diagnosis and effective treatment is the backbone of malaria control, but in this highly vulnerable group of HIV infected, malaria prevention should be prioritized. Co-trimoxazole, an antifolate with antimalarial activities, is currently recommended as preventive therapy in immune suppressed HIV-1-infected patients.25 Furthermore, the combination of co-trimoxazole, insecticide-treated bed nets substantially reduced the frequency of malaria in adults with HIV.26 These policies, if widely implemented with other preventive measures, might decrease the malaria burden in HIV-1-infected individuals, including the anemia burden associated with repeated malaria episodes.27
We would like to thank all the patients and their families who contributed to this study. Sincere thanks also to the nursing and laboratory staff of the Tropical Disease Research Center and the health centers where the study was carried out. We are also grateful to Dr Emmanuel Kafwembe, the Director Tropical Disease Research Center for his support and to the Director of Ndola District Health Management Team for offering his clinic facilities to the study. The WHO provided good manufacturing practices approved artemether-lumefantrine. The Belgian Development cooperation was not involved in the design and conduct of the study; collection, management, analysis, and interpretation of the data; and preparation, review, or approval of the article. J.P.V. contributed to the analysis plan, data interpretation, produced the final dataset, did the analysis, and wrote the article and takes responsibility for the integrity of the data and the accuracy of the data analysis. M.M. organized the collection of data, supervised the trial, and contributed to the data interpretation and writing the article, V.C. and M.N. supervised the trial and contributed to the data interpretation, D.M. contributed to the organization of the trial and training, F.M. contributed to the study design and training, U.A. contributed to the study design, data interpretation, and the writing of the article, R.C. contributed to the data interpretation and the writing of the article.
1. White NJ, Landau N, Gautret P. Malaria pathophysiology. In: Sherman IW, ed. Malaria: Parasite Biology, Pathogenesis and Protection. Washington, DC: ASM Press, 1998;378-379.
2. Wickramasinghe SN, Abdalla SH. Blood and bone marrow changes in malaria. Baillieres Best Pract Res Clin Haematol. 2000;13:277-299.
3. Sloand E. Hematologic complications of HIV infection. AIDS Rev. 2005;7:187-196.
4. Johannessen A, Naman E, Ngowi BJ, et al. Predictors of mortality in HIV-infected patients starting antiretroviral therapy in a rural hospital in Tanzania. BMC Infect Dis. 2008;8:52.
5. Cross Continents Collaboration for Kids (3Cs4kids) Analysis and Writing Committee. Markers for predicting mortality in untreated HIV-infected children in resource-limited settings: a meta-analysis. AIDS. 2008;22:97-105.
6. van Eijk AM, Ayisi JG, ter Kuile FO, et al. Malaria and human immunodeficiency virus infection as risk factors for anemia in infants in Kisumu, western Kenya. Am J Trop Med Hyg. 2002;67:44-53.
7. Shah SN, Smith EE, Obonyo CO, et al. HIV immunosuppression and antimalarial efficacy: sulfadoxine-pyrimethamine for the treatment of uncomplicated malaria in HIV-infected adults in Siaya, Kenya. J Infect Dis. 2006;194:1519-1528.
8. Van geertruyden JP, Mulenga M, Mwananyanda L, et al. HIV-1 immune suppression and antimalarial treatment outcome in Zambian adults with uncomplicated malaria. J Infect Dis. 2006;194:917-925.
9. Otieno RO, Ouma C, Ong'echa JM, et al. Increased severe anemia in HIV-1-exposed and HIV-1-positive infants and children during acute malaria. AIDS. 2006;20:275-280.
10. Central Board of Health, Ministry of Health, Government of Republic of Zambia (GRZ). Zambia 2004 Antenatal Clinic Sentinel Surveillance. Survey. Lusaka, Zambia: GRZ, 2004; 2007.
11. World Health Organization. Assessment and Monitoring of Antimalarial Drug Efficacy for the Treatment of Uncomplicated Falciparum Malaria. Geneva, Switzerland: WHO; 2003.
12. World Health Organization. WHO Recommendations on ART Treatment for Infants, Children, Adolescents and Adults. 2006.
13. Johnson C and Dallman PR. Age-related changes in laboratory values used in the diagnosis of anemia and iron deficiency. Am J Clin Nutr. 1984;39:427-436.
14. Janossy G, Jani I, Gohde W. Affordable CD4(+) T-cell counts on ‘single-platform' flow cytometers I. Primary CD4 gating. Br J Haematol. 2000;111:1198-1208.
15. Bjorkman A. Malaria associated anaemia, drug resistance and antimalarial combination therapy. Int J Parasitol. 2002;32:1637-1643.
16. Achidi EA, Salimonu LS, Asuzu MC, et al. Studies on Plasmodium falciparum parasitemia and development of anemia in Nigerian infants during their first year of life. Am J Trop Med Hyg. 1996;55:138-143.
17. Henry DH, Beall GN, Benson CA, et al. Recombinant human erythropoietin in the treatment of anemia associated with human immunodeficiency virus (HIV) infection and zidovudine therapy. Overview of four clinical trials. Ann Intern Med. 1992;117:739-748.
18. Mulenga M, van Geertruyden JP, Mwananyanda L, et al. Safety and efficacy of lumefantrine-artemether (Coartem) for the treatment of uncomplicated Plasmodium falciparum malaria in Zambian adults. Malar J. 2006;5:73.
19. Hewitt K, Steketee R, Mwapasa V, et al. Interactions between HIV and malaria in non-pregnant adults: evidence and implications. AIDS. 2006;20:1993-2004.
20. ter Kuile FO, Parise ME, Verhoeff FH, et al. The burden of co-infection with human immunodeficiency virus type 1 and malaria in pregnant women in sub-saharan Africa. Am J Trop Med Hyg. 2004;71:41-54.
21. Moyle G. Anaemia in persons with HIV infection: prognostic marker and contributor to morbidity. AIDS Rev. 2002;4:13-20.
22. van Geertruyden JP, Mulenga M, Kasongo W, et al. CD4 T-cell count and HIV-1 infection in adults with uncomplicated malaria. J Acquir Immune Defic Syndr. 2006;43:363-367.
23. Moh R, Danel C, Sorho S, et al. Haematological changes in adults receiving a zidovudine-containing HAART regimen in combination with cotrimoxazole in Cote d'Ivoire. Antivir Ther. 2005;10:615-624.
24. Hay S, Guerra C, Tatem A, et al. The global distribution and population at risk of malaria: past, present, and future. Lancet Infect Dis. 2004;4:327-336.
25. World Health Organization. General Principles of Good Chronic Care. Geneva, Switzerland: WHO, 2006.
26. Mermin J, Ekwaru JP, Liechty CA, et al. Effect of co-trimoxazole prophylaxis, antiretroviral therapy, and insecticide-treated bednets on the frequency of malaria in HIV-1-infected adults in Uganda: a prospective cohort study. Lancet. 2006;367:1256-1261.
27. Mermin J, Lule J, Ekwaru JP, et al. Effect of co-trimoxazole prophylaxis on morbidity, mortality, CD4-cell count, and viral load in HIV infection in rural Uganda. Lancet. 2004;364:1428-1434.
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Africa; anemia; HIV-1; malaria; treatment
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