| Literature DB >> 27769309 |
Angelos Hatzakis1,2,3, Helen Papachristou4, Sangeetha J Nair5, Jacqueline Fortunko5, Tracy Foote5, HeeCheol Kim5, Tashi L Peling5, Andrew J Worlock5.
Abstract
BACKGROUND: Quantitation of HIV-RNA is critically important for diagnosis, prognosis, treatment, monitoring and assessment of infectivity in HIV-1 infection. The objective of this study was to assess performance characteristics of the Aptima HIV-1 Quant Dx assay (Aptima), a new transcription mediated amplification (TMA), fully integrated and automated assay from Hologic Inc., San Diego, CA, USA. The analytical sensitivity, analytical specificity, precision and detection of HIV-1 subtypes were tested based on commercially available international standards or panels. A selected group of 244 anti-HIV-1 (+) plasma samples was used for comparison with Roche COBAS Ampliprep/COBAS TaqMan HIV- 1 test v2.0 (Roche CAP/CTM), (Roche Molecular Systems, Pleasanton, CA).Entities:
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Year: 2016 PMID: 27769309 PMCID: PMC5073876 DOI: 10.1186/s12985-016-0627-y
Source DB: PubMed Journal: Virol J ISSN: 1743-422X Impact factor: 4.099
Recovery of AcroMetrix subtype B Linearity Panel in Aptima HIV Quant Dx
| Target concentration (log copies/mL) | Average Aptima (log copies/mL) | Average Aptima-Target |
|---|---|---|
| Not detected | Not detected | Not detected |
| 2.00 | 2.05 | 0.05 |
| 2.70 | 2.60 | −0.10 |
| 3.70 | 3.65 | −0.05 |
| 4.70 | 4.86 | 0.16 |
| 5.70 | 5.93 | 0.23 |
| 6.70 | 6.92 | 0.22 |
Fig. 1Linearity of Aptima based on clinical specimens representing different HIV subtypes
Fig. 2Linearity of Aptima based on cultured isolates representing different groups or subtypes of HIV
R2 Values Linearity of Plots Aptima Based on Clinical Specimens Representing Different HIV Groups or Subtypes
| HIV Group or Subtype | R2 |
|---|---|
| A | 1.0000 |
| B | 0.9996 |
| C | 0.9995 |
| AG | 0.9996 |
| F1 | 0.9995 |
| AE | 0.9996 |
| G | 0.9994 |
| N | 0.9994 |
| O | 0.9997 |
Assessment of analytical sensitivity of Aptima HIV-1 Quant by dilutions of HIV-1 2nd international WHO standard diluted in plasma
| Panels IU/mL | Number | Number positive | % Positive |
|---|---|---|---|
| 0 | 89 | 0 | 0 % |
| 5 | 89 | 46 | 52 % |
| 10 | 90 | 73 | 81 % |
| 15 | 90 | 84 | 93 % |
| 20 | 90 | 88 | 98 % |
| 25 | 89 | 87 | 98 % |
| 30 | 90 | 89 | 99 % |
| 40 | 89 | 89 | 100 % |
Assessment of analytical specificity of Aptima HIV-1 Quant Dx assay by two lots of HIV-1 negative samples
| Reagent lot | N | Negative | Specificity | LCI | UCI |
|---|---|---|---|---|---|
| lot 1 | 300 | 299 | 99.67 | 98.14 | 99.94 |
| lot 2 | 300 | 300 | 100 | 98.74 | 100.00 |
| Combined | 600 | 599 | 99.83 | 99.06 | 99.97 |
Assessment of inter-instrument, inter-operator, inter-lot, inter-day, inter-run, intra-run and total variability of Aptima HIV-1 Quant Dx in various HIV-1 RNA concentrations
| Inter-instrument | Inter-operator | Inter-lot | Inter-day | Inter-run | Intra-run | Total | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Panel | N | Mean | SD | CV (%) | SD | CV (%) | SD | CV (%) | SD | CV (%) | SD | CV (%) | SD | CV (%) | SD | CV (%) |
| Log | ||||||||||||||||
| 5E1 copies/mL | 41a | 1.66 | 0.075 | 4.52 | 0.033 | 1.99 | 0 | 0 | 0 | 0 | 0 | 0 | 0.119 | 7.12 | 0.144 | 8.67 |
| 1E2 copies/mL | 74a | 1.82 | 0 | 0 | 0 | 0 | 0.014 | 0.77 | 0 | 0 | 0.102 | 5.6 | 0.148 | 8.14 | 0.18 | 9.91 |
| 1E3 copies/mL | 81 | 2.75 | 0.035 | 1.26 | 0 | 0 | 0 | 0 | 0 | 0 | 0.041 | 1.5 | 0.098 | 3.57 | 0.112 | 4.08 |
| 1E4 copies/mL | 81 | 3.81 | 0.011 | 0.28 | 0.013 | 0.35 | 0 | 0 | 0.013 | 0.35 | 0.05 | 1.31 | 0.039 | 1.04 | 0.067 | 1.77 |
| 1E5 copies/mL | 81 | 4.96 | 0.01 | 0.21 | 0 | 0 | 0 | 0 | 0 | 0 | 0.042 | 0.84 | 0.051 | 1.03 | 0.067 | 1.35 |
| 1E6 copies/mL | 78b | 6 | 0.008 | 0.14 | 0.001 | 0.02 | 0 | 0 | 0 | 0 | 0.048 | 0.79 | 0.027 | 0.44 | 0.055 | 0.92 |
| 1E7 copies/mL | 81 | 6.89 | 0 | 0 | 0 | 0 | 0.026 | 0.38 | 0 | 0 | 0.033 | 0.47 | 0.046 | 0.67 | 0.062 | 0.9 |
Note: 1. Variability from some factors may be numerically negative, which can occur if the variability due to those factors is very small. When this occurs, SD = 0 and CV = 0 %
athe 50 and 100 copies/mL sample has lower N because some results were below the limit of quantification
b3 results were invalid and not included in the analysis
Subtype detection by aptima HIV-1 quant and roche CAP/CTM in viral isolates diluted to 105 copies/mL of HIV-RNA
| Isolate | Subtype/Group | Aptima log Copies/mL | Roche CAP/CTM log Copies/mL | Aptima – Roche CAP/CTM | Abbott RT (Log Copies/mL) | Aptima- Abbott RT |
|---|---|---|---|---|---|---|
| 92UG029 | A | 5.92 | 5.57 | 0.35 | 5.60 | 0.32 |
| 00KE_KER2018 | A | 5.11 | 4.98 | 0.13 | 5.02 | 0.09 |
| 92TH026 | B | 5.54 | 5.49 | 0.06 | 5.66 | -0.12 |
| 90TH_BK132 | B | 5.57 | 5.37 | 0.21 | 5.36 | 0.21 |
| 92BR025 | C | 5.51 | 5.26 | 0.25 | 5.32 | 0.18 |
| 99ET_14 | C | 6.38 | 6.12 | 0.26 | 5.91 | 0.48 |
| 92UG021 | D | 5.47 | 5.45 | 0.03 | 5.51 | -0.03 |
| 92UG035 | D | 6.02 | 5.61 | 0.40 | 5.77 | 0.25 |
| 92UG024 | D | 5.74 | 5.43 | 0.30 | 5.61 | 0.13 |
| 92TH022 | CRF01_AE | 5.25 | not available | not available | 5.26 | -0.01 |
| 92TH009 | CRF01_AE | 5.33 | 5.08 | 0.25 | 5.25 | 0.08 |
| 93BR029 | F | 5.15 | 5.16 | 0.01 | 5.18 | -0.03 |
| 93BR020 | F | 5.59 | not available | not available | 5.19 | 0.40 |
| RU570 | G | 5.77 | not available | not available | 5.70 | 0.08 |
| VI557 | H | 5.95 | not available | not available | 5.43 | 0.51 |
| 01CM.0005BBY | CRF02_AG | 4.89 | 4.77 | 0.12 | 4.68 | 0.21 |
| 01CM.0008BBY | CRF02_AG | 5.23 | 5.00 | 0.23 | 4.95 | 0.27 |
| VI525 | G/H | 5.21 | 4.42 | 0.79 | 4.94 | 0.27 |
| YBF 30 | N | 6.20 | 5.72 | 0.48 | 5.17 | 1.04 |
| MVP5180 | O | 4.32 | not available | not available | 4.23 | 0.09 |
| CA-9 | O | 4.76 | 4.75 | 0.01 | 4.32 | 0.43 |
Qualitative 2 × 2 comparison of Aptima and Roche CAP/CTM
| Aptima | ||||
|---|---|---|---|---|
|
|
| Total | ||
| Roche CAP/CTM |
| 206 | 11 | 217 |
|
| 14 | 13 | 27 | |
| Total | 220 | 24 | 244 | |
The p-value for McNemar’s test is 0.5485 indicating that the difference in positivity between Aptima and Roche for the type of samples tested is not statistically significant
Fig. 3Correlation between Aptima and Roche CAP/CTM in 174 samples quantified by both assays
Fig. 4Bland Altman plot to assess the agreement between Aptima HIV-1 Quant Dx and Roche CAP/CTM in 174samples quantified by both assays
Fig. 5Correlation between Aptima and Roche CAP/CTM for 47 samples quantified as subtype B by both assays
Fig. 6Bland Altman plot to assess the agreement between Aptima and Roche CAP/CTM in 47 subtype B samples quantified by both assays
Fig. 7Correlation between Aptima and Roche CAP/CTM in 127 samples of non-B subtype quantified by both assays
Fig. 8Bland Altman plot to assess the agreement between Aptima HIV-1 and Roche CAP/CTM in 127 samples of non-B subtypes quantified by both assays