RP-School of Health Sciences

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Browsing RP-School of Health Sciences by Author "Ahmed, Aabid A."

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    HIV‑1 protease inhibitor drug resistance in Kenyan antiretroviral treatment‑naive and ‑experienced injection drug users and non‑drug users
    (BioMed Central, 2015) Budambula, Valentine; Musumba, Francis O.; Webale, Mark K.; Kahiga, Titus M.; Ongecha‑Owuor, Francisca; Kiarie, James N.; Sowayi, George A.; Ahmed, Aabid A.; Ouma, Collins; Were, Tom
    Background: Although injection drug use drives antiretroviral drug resistance, the prevalence of protease inhibitor (PI) resistance among Kenyan IDUs remains undetermined. We, therefore, explored PI resistance mutations and their association with viral load and CD4+ T cell counts in HIV-1 infected IDUs (ART-naive, n = 32; and -experienced, n = 47) and non-drug users (ART-naive, n = 21; and -experienced, n = 32) naive for PI treatment from coastal Kenya. Results: Only IDUs harboured major PI resistance mutations consisting of L90M, M46I and D30 N among 3 (6.4 %) ART-experienced and 1 (3.1 %) -naive individuals. Minor PI mutations including A71T, G48E, G48R, I13V, K20I, K20R, L10I, L10V, L33F, L63P, T74S, V11I, and V32L were detected among the ART-experienced (36.2 vs. 46.9 %) and -naive (43.8 vs. 66.7 %) IDUs and non-drug users, respectively. All the four IDUs possessing major mutations had high viral load while three presented with CD4+ T cell counts of <500 cells/ml. Among the ART-naive non-drug users, CD4+ T cell counts were significantly lower in carriers of minor mutations compared to non-carriers (P < 0.05). Conclusion: Transmitted drug resistance may occur in IDUs underscoring the need for genotyping resistance before initiating PI treatment.
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    Socio-demographic and sexual practices associated with HIV infection in Kenyan injection and non-injection drug users
    (BioMed Central, 2018) Budambula, Valentine; Matoka, Charles; Ouma, James; Ahmed, Aabid A.; Otieno, Michael F.; Were, Tom
    Background: Substance use is increasingly becoming prevalent on the African continent, fueling the spread of HIV infection. Although socio-demographic factors influence substance consumption and risk of HIV infection, the association of these factors with HIV infection is poorly understood among substance users on the African continent. The objective of the study was to assess socio-demographic and sexual practices that are associated with HIV infection among injection drug users (IDUs), non-IDUs, and non-drug users (DUs) at an urban setting of coastal Kenya. Methods: A cross-sectional descriptive study was conducted among 451 adults comprising HIV-infected and -uninfected IDUs (n = 157 and 39); non-IDUs (n = 17 and 48); and non-DUs (n = 55 and 135); respectively at coastal, Kenya. Respondent driven sampling, snowball and makeshift methods were used to enroll IDUs and non-IDUs. Convenience and purposive sampling were used to enroll non-DUs from the hospital’s voluntary HIV testing unit. Participant assisted questionnaire was used in collecting socio-demographic data and sexual practices. Results: Binary logistic regression analysis indicated that higher likelihood of HIV infection was associated with sex for police protection (OR, 9.526; 95% CI, 1.156-78.528; P = 0.036) and history of sexually transmitted infection (OR, 5.117; 95% CI, 1.924-13.485; P = 0.001) in IDUs; divorced, separated or widowed marital status (OR, 6.315; 95% CI, 1.334-29.898; P = 0.020) in non-IDUs; and unemployment (OR, 2.724; 95% CI, 1.049-7.070; P = 0.040) in non-drug users. However, never married (single) marital status (OR, 0.140; 95% CI, 0.030-0.649; P = 0.012) was associated with lower odds for HIV infection in non-drug users. Conclusion: Altogether, these results suggest that socio-demographic and sexual risk factors for HIV transmission differ with drug use status, suggesting targeted preventive measures for drug users. Keywords: HIV infection, Injection drug users (IDUs), Non-IDUs, Non-drug users, Socio-demographic and sexual risk practices