Translational Medicine Communications (Jun 2019)

First-line antiretroviral treatment and virological response among HIV adult patients at an accredited HIV care center, Cameroon

  • Juste Patient Mbébi Enoné,
  • Calixte Ida Penda,
  • Serge Bruno Ebong,
  • Madeleine Mbangue,
  • Samuel Honoré Mandengué,
  • Carole Else Eboumbou Moukoko

DOI
https://doi.org/10.1186/s41231-019-0040-9
Journal volume & issue
Vol. 4, no. 1
pp. 1 – 11

Abstract

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Abstract Background Viral load (VL) monitoring in the clinical follow-up of HIV patients to detect treatment failure is not routinely offered in Cameroon. The study was designed to characterize virological response on antiretroviral treatment (ART) among adults living with HIV and to identify predictors of virological failure (VF). Methods Between November 2014 and January 2016, a prospective, population-based cohort study was conducted among HIV-positive adults under first-line treatment and monitored at the Accredited HIV Care Center (AHCC) of Laquintinie Hospital of Douala. Clinical and biological data at the initiation of ART were collected from patients’ medical records. HIV VL at 12 and 24 months after the patient started treatment on ART were performed using quantitative real-time PCR protocol with the generic HIV Roche TaqMan assay. Descriptive and logistic regression analysis were performed in Stata SE11 version in data analysis. Results Overall 150 (45.5%) of 330 adults living with HIV were tested with at least one VL, and of these patients, 51 (34.0%) were tested with two VL during the followed-up. The VF was observed in 13 of 51 (25.5%) patients and among them, 8 (61.5%) switched to second-line ART regimens. Thirty-five (68.6%) of the 51 patients had an undetectable VL at the first VL measurement, and seven (13.7%) patients subsequently developed viral load rebound (VLR) on tritherapy. Using a multivariate analysis, the risk of VF was seven times higher in HIV adults who did not respect the medication hours (OR = 7.38, 95%CI = 1.56–34.90, p = 0.012) and eleven times higher in patients with none or primary school education (OR = 11.38, 95% CI = 2.41–53.76, p = 0.002). Conclusion Low education level and poor adherence are the main risk factors for VF. Strengthening therapeutic failure prevention strategies and routine VL surveillance would allow early detection of VF and contribute in achieving the third goal of UNAIDS which recommends “90–90-90” targets for People Living with HIV in resource-limited settings.

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