Association of first-line combination antiretroviral therapy with malaria among adult HIV-infected persons in Jos, Nigeria: a pilot cross sectional study

Abstract

Background: Malaria and human immunodeficiency virus (HIV) infection coexist in significant numbers in some geographic areas including sub-Sahara Africa (SSA). HIV-infected patients are a World Health Organization (WHO) recognized high risk group for increased malaria morbidity. Majority of HIV-infected patients undertaking treatment in SSA are on WHO recognized first-line combination antiretroviral therapy (cART). Considering the immunity-enhancing capacity of antiretroviral therapies on people living with HIV, this study aimed to explore the association between first-line combination antiretroviral therapy (cART) with malaria parasitaemia and antigenaemia in adult HIV-infected persons and to determine the predictors of malaria antigenaemia in adult persons living with HIV.

Methods: The study was conducted at the AIDS Prevention Initiative in Nigeria (APIN) Centre, Jos University Teaching Hospital, Jos, Plateau State, from August 2018 to February 2019. Epi Info statistical tool was used to determine the sample size and power of the study. The study population consisted of three groups. The first group comprised first-line cART-experienced adult HIV-seropositive subjects, the second group comprised ARV-naïve HIV-seropositive adults and the third group comprised HIV-seronegative adults. For this pilot study, 60 persons were recruited into each group via convenience sampling. Malaria rapid diagnostic test (RDT) was performed according to manufacturer's instruction for all the study participants using SD Bioline Malaria Ag P.f (HRP2/pLDH) (Standard Diagnostics, Hagal-Dong, Korea). All the study participants also had thick and thin blood film malaria microscopy. Data collected was processed and analyzed using the Stata statistical software version 15 (StataCorp, College Station, Texas). Chi square was used to test the association between malaria and first-line cART exposure. Univariate and multivariate analysis were also done to identify factors that were independently associated with malaria antigenaemia.

Results: A total of 180 persons participated in the study and involved 60 participants recruited in each of the three study groups. Overall, the predominant study participants were females (56.67%), traders (27.78%), secondary school leavers (43.33%) and urban dwellers (88.89%). Their mean age and standard deviation was 37.07 ± 11.53 years. Using malaria microscopy, the prevalence of malaria parasitaemia in ARV-naïve HIV-infected persons was 5% and 0% in the first-line cART-experienced HIV-infected persons as well as the HIV-negative persons. Malaria RDT result was positive in 7/60 (11.67%) of the first-line cART experienced HIV-infected participants, 6/60 (10%) of the ARV-naïve HIV-infected group and 1/60 (1.67%) of the HIV-negative group. Of the seven positive malaria RDT results in those on first-line cART, five persons were receiving zidovudine/lamivudine/nevirapine (AZT/3TC/NVP) while the remaining two were receiving tenofovir disoproxil fumarate/lamivudine/efavirenz (TDF/3TC/EFV), thus making an antigenaemia proportion of 16.67% and 6.67% respectively. Being an HIV-infected person on first-line cART (OR = 16.20, p = 0.04), having a headache (OR = 6.21, p = 0.03) and non-usage of window nets (OR = 3.74, p = 0.05) were found to be predictors of malaria antigenaemia.

Conclusion: Malaria parasite burden in HIV-infected persons on first-line cART is lower than that observed in ARV-naïve HIV-infected persons. Our study suggests that TDF/3TC/EFV may be associated with lower malaria antigenaemia when compared with AZT/3TC/NVP and can be considered an alternative first-line antiretroviral regimen in malaria-endemic regions.

Keywords: P. Falciparum in PLHIV; Combination antiretroviral therapy; HIV; Malaria; Nigeria; Rapid diagnostic test.

Fig. 1

Adult ART regimen and malaria antigenaemia p value (Fisher’s exact test) = 0.42

Fig. 2

ROC curve for the malaria antigenaemia multivariate regression model