Adult and paediatric haematology and clinical chemistry laboratory reference limits for Liberia.

BACKGROUND: As more research is conducted in Liberia, there is a need for laboratory reference limits for common chemistry and haematology values based on a healthy population. Reference limits from the United States may not be applicable. OBJECTIVE: The aim of this study was to present laboratory reference ranges from a Liberian population and compare them to United States ranges. METHODS: Serum chemistry and haematology values from 2529 adults and 694 children and adolescents obtained from two studies conducted in Liberia between 2015 to 2017 were used to determine reference limits. After removing outliers, the reference limits defined by the 2.5th and 97.5th percentiles were determined by sex in three age groups (6-11, 12-17, and 18+ years). RESULTS: The median (interquartile range) of adults was 29 (23, 37) years; 44% were female. The median (interquartile range) for children and adolescents was 12 (9, 15) years; 53% were female. Several reference ranges determined using Liberian participants differed from those in the US. For chemistries, a high percentage of both adults and children/adolescents had high serum chloride levels based on United States ranges. For haematology, a high percentage of Liberian participants had haemoglobin and related assays below the lower limit of United States ranges. CONCLUSION: Chemistry and haematology reference intervals determined for a Liberian population of healthy individuals should be considered for establishing eligibility criteria and monitoring of laboratory adverse events for clinical trials as well as for use in clinical settings in Liberia and perhaps for other countries in Western Africa.

Conventional Wisdom versus Actual Outcomes: Challenges in the Conduct of an Ebola Vaccine Trial in Liberia during the International Public Health Emergency.

Clinical trials are challenging endeavors. Planning and implementing an investigational vaccine trial in Liberia, in the midst of an Ebola virus disease (EVD) epidemic that World Health Organization classified a public health emergency of international concern, presented extraordinary challenges. Normally, years of preparation and a litany of tasks lay the groundwork for a successful, randomized, blinded, placebo-controlled trial focused on safety and efficacy. Difficult research settings, unpredictable events, and other unique circumstances can add complexity. The setting in Liberia was especially problematic due to an infrastructure still badly damaged following a lengthy civil war and a very fragile health-care system that was further devastated by the EVD outbreak. The Partnership for Research on Vaccines in Liberia I EVD vaccine trial was planned and implemented in less than 3 months by a Liberian and U.S. research partnership, and its Phase II substudy was fully enrolled 3 months later. Contrasting conventional wisdom with trial outcomes offers an opportunity to compare early assumptions, barriers encountered, and adaptive strategies used, with end results. Understanding what was learned can inform future trial responses when disease outbreaks, especially in resource-poor locations with minimal infrastructure, pose a significant threat to public health.

Performance characteristics of the TRUGENE HIV-1 Genotyping Kit and the Opengene DNA Sequencing System.

The TRUGENE HIV-1 Genotyping Kit and OpenGene DNA Sequencing System are designed to sequence the protease (PR)- and reverse transcriptase (RT)-coding regions of human immunodeficiency virus type 1 (HIV-1) pol. Studies were undertaken to determine the accuracy of this assay system in detecting resistance-associated mutations and to determine the effects of RNA extraction methods, anticoagulants, specimen handling, and potentially interfering substances. Samples were plasma obtained from HIV-infected subjects or seronegative plasma to which viruses derived from wild-type and mutant infectious molecular clones (IMC) of HIV-1 were added. Extraction methods tested included standard and UltraSensitive AMPLICOR HIV-1 MONITOR, QIAGEN viral RNA extraction mini kit, and QIAGEN Ultra HIV extraction kit, and NASBA manual HIV-1 quantitative NucliSens. Sequence data from test sites were compared to a "gold standard" reference sequence to determine the percent agreement. Comparisons between test and reference sequences at the nucleotide level showed 97.5 to 100% agreement. Similar results were obtained regardless of extraction method, regardless of use of EDTA or acid citrate dextrose as anticoagulant, and despite the presence of triglycerides, bilirubin, hemoglobin, antiretroviral drugs, HIV-2, hepatitis C virus (HCV), HBV, cytomegalovirus, human T-cell leukemia virus type 1 (HTLV-1), or HTLV-2. Samples with HIV-1 RNA titers of >or=1,000 copies/ml gave consistent results. The TRUGENE HIV-1 Genotyping Kit and OpenGene DNA Sequencing System consistently generate highly accurate sequence data when tested with IMC-derived HIV and patient samples.

Both baseline HIV-1 drug resistance and antiretroviral drug levels are associated with short-term virologic responses to salvage therapy.

BACKGROUND: To determine the impact of HIV-1 drug resistance at baseline and antiretroviral drug levels (DL) during follow-up on virologic response to the next antiretroviral regimen. METHODS: Baseline genotypic and phenotypic susceptibility was obtained for plasma virus from patients failing a protease inhibitor-containing regimen. Untimed plasma antiretroviral DL were performed and the distribution of DL after 12 weeks of follow-up was classified as above (DLHigh) or below (DLLow) the median. Inhibitory quotients [IQ = (DL at week 12)/(fold change in IC50 to wild-type)] were determined for each drug in the regimen. Primary outcome was change in log10 plasma HIV-1 RNA viral load (DeltaVL) from baseline to 12 weeks. RESULTS: There were 137 patients who had baseline resistance data available for the antiretroviral drugs used in the salvage regimen, and DL at week 12. Each drug with DLHigh was associated with DeltaVL = -0.40 (P = 0.0002) while each drug with DLLow had DeltaVL = -0.16 (P = 0.11). In multivariate models DeltaVL associated with each active drug (defined by genotype) with DLHigh was -0.48 log10 (P < 0.0001), and with each active drug with DLLow was -0.22 (P = 0.03). The DeltaVL was -0.18 if no drugs in the regimen had an IQ > median, compared to -0.58 for one drug, -1.06 for two drugs, -0.86 for three drugs, and -1.44 for four or five drugs with IQ > median (P < 0.0001 for trend). CONCLUSIONS: In salvage therapy, both the number of active drugs and the DL for each drug in the new regimen determine the antiviral response.