Response : HIV Viral Load Assay

Science ◽  
1996 ◽  
Vol 271 (5252) ◽  
pp. 1043-1043
Author(s):  
Barton F. Haynes
2020 ◽  
Vol 75 (12) ◽  
pp. 3510-3516 ◽  
Author(s):  
Jessica M Fogel ◽  
David Bonsall ◽  
Vanessa Cummings ◽  
Rory Bowden ◽  
Tanya Golubchik ◽  
...  

Abstract Objectives To evaluate the performance of a high-throughput research assay for HIV drug resistance testing based on whole genome next-generation sequencing (NGS) that also quantifies HIV viral load. Methods Plasma samples (n = 145) were obtained from HIV-positive MSM (HPTN 078). Samples were analysed using clinical assays (the ViroSeq HIV-1 Genotyping System and the Abbott RealTime HIV-1 Viral Load assay) and a research assay based on whole-genome NGS (veSEQ-HIV). Results HIV protease and reverse transcriptase sequences (n = 142) and integrase sequences (n = 138) were obtained using ViroSeq. Sequences from all three regions were obtained for 100 (70.4%) of the 142 samples using veSEQ-HIV; results were obtained more frequently for samples with higher viral loads (93.5% for 93 samples with >5000 copies/mL; 50.0% for 26 samples with 1000–5000 copies/mL; 0% for 23 samples with <1000 copies/mL). For samples with results from both methods, drug resistance mutations (DRMs) were detected in 33 samples using ViroSeq and 42 samples using veSEQ-HIV (detection threshold: 5.0%). Overall, 146 major DRMs were detected; 107 were detected by both methods, 37 were detected by veSEQ-HIV only (frequency range: 5.0%–30.6%) and two were detected by ViroSeq only. HIV viral loads estimated by veSEQ-HIV strongly correlated with results from the Abbott RealTime Viral Load assay (R2 = 0.85; n = 142). Conclusions The NGS-based veSEQ-HIV method provided results for most samples with higher viral loads, was accurate for detecting major DRMs, and detected mutations at lower levels compared with a method based on population sequencing. The veSEQ-HIV method also provided HIV viral load data.


PLoS ONE ◽  
2012 ◽  
Vol 7 (8) ◽  
pp. e43882 ◽  
Author(s):  
Chanson J. Brumme ◽  
Luke C. Swenson ◽  
Brian Wynhoven ◽  
Benita Yip ◽  
Stuart Skinner ◽  
...  

Author(s):  
Karam M. Obeid ◽  
Preethi Sural ◽  
Susan Szpunar ◽  
Leonard B. Johnson

Science ◽  
1996 ◽  
Vol 271 (5252) ◽  
pp. 1043b-1043b
Author(s):  
B. F. Haynes

2020 ◽  
Vol 20 (4) ◽  
pp. 486-490 ◽  
Author(s):  
Amos Lal ◽  
George M. Abraham

Purpose: Healthcare spending as a percentage of Gross domestic product (GDP) is at all-time high and continues to rise in the United States. The Centers for Medicare and Medicaid Services estimate that 33% of resources spent on healthcare goes to waste. As part of a ‘high value care’ exercise, we studied if estimating CD4 cell counts and HIV viral load in hospitalized patients with a known diagnosis of HIV led to any meaningful change in HAART regimen and discharge diagnosis. Methods: Retrospective chart review for all patients admitted with a known diagnosis of HIV from January 1, through December 31, 2017. Results: A total of 83 patient encounters were reviewed during the period. The mean age was 54.1 ± 16.4 years, 64.1 % of patients were males. 75 patients (90.3%) were already on highly active antiretroviral therapy (HAART). The median hospital length of stay (LOS) was 3 days (IQR 2.0 - 5.0). The mean turnaround time for CD4 counts and HIV viral load assay was 2.9 days (95% CI 2.1 – 3.7) and 3.9 days (95% CI, 3.2 – 4.6), respectively. A CD4 count estimation led to no change in HAART regimen. HIV viral load assay testing had no impact on a change in treatment or a change in diagnosis. Conclusions: In our study, testing CD4 counts and HIV viral load for inpatients did not confer any benefit in altering the diagnosis or HAART regimen. We believe that our study identifies a systems level opportunity to add to the concept of ‘Choosing Wisely.’


2000 ◽  
Vol 61 (4) ◽  
pp. 411-416 ◽  
Author(s):  
David Muir ◽  
David White ◽  
Julie King ◽  
Neville Verlander ◽  
Deenan Pillay

Science ◽  
1996 ◽  
Vol 271 (5252) ◽  
pp. 1043-1043
Author(s):  
Cecil H. Fox

PLoS ONE ◽  
2016 ◽  
Vol 11 (12) ◽  
pp. e0168244 ◽  
Author(s):  
Natasha Gous ◽  
Lesley Scott ◽  
Leigh Berrie ◽  
Wendy Stevens

Science ◽  
1996 ◽  
Vol 271 (5252) ◽  
pp. 1043a-1043a
Author(s):  
C. H. Fox

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