Contribution of PEPFAR-Supported HIV and TB Molecular Diagnostic Networks to COVID-19 Testing Preparedness in 16 Countries.

The US President's Emergency Plan for AIDS Relief (PEPFAR) supports molecular HIV and tuberculosis diagnostic networks and information management systems in low- and middle-income countries. We describe how national programs leveraged these PEPFAR-supported laboratory resources for SARS-CoV-2 testing during the COVID-19 pandemic. We sent a spreadsheet template consisting of 46 indicators for assessing the use of PEPFAR-supported diagnostic networks for COVID-19 pandemic response activities during April 1, 2020, to March 31, 2021, to 27 PEPFAR-supported countries or regions. A total of 109 PEPFAR-supported centralized HIV viral load and early infant diagnosis laboratories and 138 decentralized HIV and TB sites reported performing SARS-CoV-2 testing in 16 countries. Together, these sites contributed to >3.4 million SARS-CoV-2 tests during the 1-year period. Our findings illustrate that PEPFAR-supported diagnostic networks provided a wide range of resources to respond to emergency COVID-19 diagnostic testing in 16 low- and middle-income countries.

HIV-1 Recent Infection Testing Algorithm With Antiretroviral Drug Detection to Improve Accuracy of Incidence Estimates.

BACKGROUND: HIV-1 incidence calculation currently includes recency classification by HIV-1 incidence assay and unsuppressed viral load (VL ≥ 1000 copies/mL) in a recent infection testing algorithm (RITA). However, persons with recent classification not virally suppressed and taking antiretroviral (ARV) medication may be misclassified. SETTING: We used data from 13 African household surveys to describe the impact of an ARV-adjusted RITA on HIV-1 incidence estimates. METHODS: HIV-seropositive samples were tested for recency using the HIV-1 Limiting Antigen (LAg)-Avidity enzyme immunoassay, HIV-1 viral load, ARVs used in each country, and ARV drug resistance. LAg-recent result was defined as normalized optical density values ≤1.5. We compared HIV-1 incidence estimates using 2 RITA: RITA1: LAg-recent + VL ≥ 1000 copies/mL and RITA2: RITA1 + undetectable ARV. We explored RITA2 with self-reported ARV use and with clinical history. RESULTS: Overall, 357 adult HIV-positive participants were classified as having recent infection with RITA1. RITA2 reclassified 55 (15.4%) persons with detectable ARV as having long-term infection. Those with detectable ARV were significantly more likely to be aware of their HIV-positive status (84% vs. 10%) and had higher levels of drug resistance (74% vs. 26%) than those without detectable ARV. RITA2 incidence was lower than RITA1 incidence (range, 0%-30% decrease), resulting in decreased estimated new infections from 390,000 to 341,000 across the 13 countries. Incidence estimates were similar using detectable or self-reported ARV (R2 > 0.995). CONCLUSIONS: Including ARV in RITA2 improved the accuracy of HIV-1 incidence estimates by removing participants with likely long-term HIV infection.

Driving hospital transformation with SLMTA in a regional hospital in Cameroon.

BACKGROUND: Inspired by the transformation of the Regional Hospital Buea laboratory through implementation of the Strengthening Laboratory Management Toward Accreditation (SLMTA) programme, hospital management adapted the SLMTA toolkit to drive hospital-wide quality improvement. OBJECTIVE: This paper describes changes in the hospital following the quality improvement activities in hygiene and sanitation, the outpatient waiting area and the surgical and maternity wards. METHODS: In March 2011, hospital management established a quality improvement task force and created a hospital-wide quality improvement roadmap, following the SLMTA model. The roadmap comprised improvement projects, accountability plans, patient feedback forms and log books to track quality indicators including patient wait time, satisfaction level, infection rates, birth outcomes and hospital revenue. RESULTS: There was steady improvement in service delivery during the 11 months after the introduction of the quality improvement initiatives: patient wait time at the reception was reduced from three hours to less than 30 minutes and patient satisfaction increased from 15% to 60%. Treatment protocols were developed and documented for various units, infrastructure and workflow processes were improved and there was increased staff awareness of the importance of providing quality services. Maternal infection rates dropped from 3% to 0.5% and stillbirths from 5% to < 1%. The number of patients increased as a result of improved services, leading to a 25% increase in hospital revenue. CONCLUSION: The SLMTA programme was adapted successfully to meet the needs of the entire hospital. Such a programme has the potential to impact positively on hospital quality systems; consideration should be made for development of a formal SLMTA-like programme for hospital quality improvement.

Prevalence of drug resistance-related polymorphisms in treatment-naive individuals infected with nonsubtype B HIV type 1 in Cameroon.

Mutations associated with the use of protease (PR) and reverse transcriptase (RT) inhibitors have been mostly mapped for HIV-1 subtype B. The prevalence of these mutations in drug-naive HIV-1 subtype B-infected individuals is low but occurs at high frequencies in treated individuals. To determine the prevalence of treatment-associated mutations in non-B viruses, we analyzed a 1613-bp pol region of specimens collected from 57 HIV-1-infected treatment-naive individuals from Cameroon. Of the 57 HIV-1 sequences, 43 belonged to CRF02-AG, two to CRF11-cpx, six to subtype A, one to subtype D, and five were unclassifiable. Of the 57 PR sequences, 100% contained at least one codon change giving substitutions at positions 10, 11, 16, 20, 33, 36, 60, 62, 64, 69, 77, and 89. These substitutions gave the following prevalence pattern, 36I/L (100%, 57/57) >89M/I (98%, 56/57)>69K/R (93%, 53/57)>20I/R (89%, 51/57)>16E (16%, 9/57)>64M (12%, 7/57)>10I (11%, 6/57)>11V (5%, 3/57)=62V (5%, 3/57)=77I (5%, 3/57)>233F/V (4%, 2/57)=60E (4%), which differed significantly from subtype B at positions 20, 36, 69, and 89. All but one (98%) of the 57 RT sequences (438 amino acid residues) carried substitutions located at codons 39A (7%), 43E (7%), 122E (7%), 312Q (2%), 333E (2%), 335C/D (89%), 356K (89%), 358K (14%), 365I (2%), 371V (81%), 376S (11%), or 399D (4%); the frequency of these substitutions ranged from <0.5% to 4% in RT of subtype B. The high prevalence of minor mutations associated with protease inhibitors (PI) and reverse transcriptase inhibitors (RTI) represents natural polymorphisms. HIV-1 PR and RT sequences from antiretroviral (ARV)-naive HIV-infected persons in Cameroon are important for monitoring the development of resistance to PIs and RTIs as such mutations could lead to treatment failures in individuals undergoing ARV therapy.

Human immunodeficiency virus type 1 group m protease in cameroon: genetic diversity and protease inhibitor mutational features.

To establish a baseline for monitoring resistance to protease inhibitors (PIs) and examining the efficacy of their use among persons in Cameroon infected with human immunodeficiency virus type 1 (HIV-1), we analyzed genetic variability and PI resistance-associated substitutions in PCR-amplified protease (PR) sequences in strains isolated from 110 HIV-1-infected, drug-naïve Cameroonians. Of the 110 strains, 85 were classified into six HIV-1 PR subtypes, A (n = 1), B (n = 1), F (n = 4), G (n = 7), H (n = 1), and J (n = 7), and a circulating recombinant form, CRF02-AG (n = 64). PR genes from the remaining 25 (23%) specimens were unclassifiable, whereas 2% (7 of 301) unclassifiable PR sequences were reported for a global collection. Two major PI resistance-associated mutations, 20M and 24I, were detected in strains from only two specimens, whereas secondary mutations were found in strains from all samples except one strain of subtype B and two strains of CRF02-AG. The secondary mutations showed the typical PI resistance-associated pattern for non-subtype B viruses in both classifiable and unclassifiable PR genes, with 36I being the predominant (99%) mutation, followed by 63P (18%), 20R (15%), 77I (13%), and 10I or 10V (11%). Of these mutations, dual and triple PI resistance-associated substitutions were found in 38% of all the Cameroonian strains. Compared with classifiable PR sequences, unclassifiable sequences had significantly more dual and triple substitutions (64% versus 30%; P = 0.004). Phenotypic and clinical evaluations are needed to estimate whether PI resistance during antiretroviral drug treatment occurs more rapidly in individuals infected with HIV-1 strains harboring multiple PI resistance-associated substitutions. This information may be important for determination of appropriate drug therapies for HIV-1-infected persons in Cameroon, where more than one-third of HIV-1 strains were found to carry dual and triple minor PI resistance-associated mutations.