Skip to main content
Journal of Clinical Microbiology logoLink to Journal of Clinical Microbiology
. 2009 May 6;47(7):2209–2217. doi: 10.1128/JCM.01761-08

Evaluation of the Abbott m2000 RealTime Human Immunodeficiency Virus Type 1 (HIV-1) Assay for HIV Load Monitoring in South Africa Compared to the Roche Cobas AmpliPrep-Cobas Amplicor, Roche Cobas AmpliPrep-Cobas TaqMan HIV-1, and BioMerieux NucliSENS EasyQ HIV-1 Assays

Lesley E Scott 1,*, Lara D Noble 1, Jackie Moloi 1, Linda Erasmus 1, Willem D F Venter 2, Wendy Stevens 1
PMCID: PMC2708481  PMID: 19420172

Abstract

The implementation of antiretroviral therapy demands the need for increased access to viral load (VL) monitoring. Newer real-time VL testing technologies are faster and have larger dynamic ranges and fully automated extraction to benefit higher throughputs in resource-poor environments. The Abbott RealTime human immunodeficiency virus type 1 (HIV-1) assay was evaluated as a new option for testing for HIV-1 subtype C in South Africa, and its performance was compared to the performance of existing assays (the Cobas AmpliPrep-Cobas TaqMan HIV-1, version 1, assay; the AmpliPrep-Cobas Monitor standard HIV-1 assay; and the NucliSENS EasyQ-EasyMag HIV-1 assay) in a high-throughput laboratory. The total precision of the RealTime HIV-1 assay was acceptable over all viral load ranges. This assay compared most favorably with the Cobas AmpliPrep-Cobas TaqMan HIV-1 assay (R2 = 0.904), with a low standard deviation of difference being detected (0.323 copies/ml). The bias against comparator assays ranged from −0.001 copies/ml to −0.228 copies/ml. Variability in the reporting of VLs for a 20-member subtype panel compared to the variability of other assays was noted with subtypes G and CRF02-AG. The RealTime HIV-1 assay can test 93 samples per day with minimal manual preparation, less staff, and the minimization of contamination through automation. This assay is suitable for HIV-1 subtype C VL quantification in South Africa.


South Africa bears a huge burden of human immunodeficiency virus (HIV) infection and has an estimated 5.5 million infected individuals (9). In September 2007, approximately 329,000 individuals received antiretroviral (ARV) treatment as part of the national program (24a, 40). Globally, viral load (VL) testing has been used to monitor treatment, determine the prognosis and the risk of disease progression, and identify treatment failures (47). South African treatment guidelines use VL results to determine the time for the switch from a first-line to a second-line drug regimen (24). Work from the region has demonstrated that the use of VL monitoring together with targeted adherence approaches results in significant conservation of the first-line drug regimen (2). In addition, it has been demonstrated that the switching of therapy on the basis of clinical and immunological criteria alone results in the development of more complex resistance profiles (42), thus reinforcing the value of VL monitoring. Initial WHO guidelines for ARV treatment in resource-poor settings referred to the use of VL monitoring as optional (45). There has been a recent shift in thinking, with the revised guidelines referring to VL testing as being desirable in resource-limited settings (11) and with greater international efforts being focused on improving access to virological testing.

Nucleic acid amplification technologies are used for VL testing in most settings and are based on either signal amplification (27) or target amplification (20) methodological approaches. The trend now is toward the use of the real-time detection of amplicons (43), which simply means that detection is done as the product accumulates during the exponential phase of the reaction. Newer real-time technology options are faster and have higher throughputs, larger dynamic ranges, and fully automated extraction steps (43). To ensure that the South African National Health Laboratory Service can cope with the high volumes of samples anticipated as the treatment program matures, several automated, real-time monitoring assays have been explored in country.

In the study described here, we investigated and compared the performance of the Abbott Diagnostics (Abbott Park, IL) RealTime HIV type 1 (HIV-1) assay (abbreviated RealTime HIV-1) on the m2000sp/m2000rt automated extraction platform (Abbott Molecular Inc., Des Plaines, IL) to the performance of the Cobas AmpliPrep-Cobas TaqMan HIV-1, version 1, assay (abbreviated CAP/CTM HIV-1; F. Hoffmann-La Roche, Diagnostics Division, Basel, Switzerland); the NucliSENS EasyQ-EasyMag HIV-1, version 1.1, assay (abbreviated NucliSENS HIV-1; bioMérieux, Boxtel, The Netherlands); and the AmpliPrep-Cobas Monitor standard HIV-1 assay (abbreviated CAP/CA HIV-1), assays which are already established within the South African laboratory setting (32, 33).

The first three assays mentioned above use real-time platforms with fluorescence detection systems, and CAP/CA HIV-1 is based on endpoint detection. Previous publications reported on the performance of CAP/CTM HIV-1 (12, 17, 25, 26, 28) and NucliSENS HIV-1 (8, 13, 32, 33). RealTime HIV-1 has previously been validated against the Roche HIV-1 Monitor assay (which uses a manual RNA extraction step) and CAP/CTM HIV-1 with the m1000 system, which is less automated than the m2000sp system used in this study (6, 15). Other studies have compared RealTime HIV-1 to the Roche Cobas Monitor assay for VL testing for HIV-1 and hepatitis C virus (29, 37, 38). Swanson and colleagues (2006) compared RealTime HIV-1 with the fully automated m2000 system, CAP/CA HIV-1 (version 1.5), the Versant HIV-1 RNA (version 3.0) system, and the Abbott LCx HIV-1 RNA quantitative system (38). A recent study has also compared RealTime HIV-1 to NucliSENS HIV-1 for the detection of the HIV-1 clades prevalent in China (46). Although those reports described the performance of the Abbott VL assay alone or in comparison to that of several existing VL assays for the detection of different subtypes, the study presented here is the first evaluation of RealTime HIV-1, NucliSENS HIV-1, CAP/CTM HIV-1, and CAP/CA HIV-1 predominantly for the detection of HIV-1 subtype C in South Africa.

MATERIALS AND METHODS

Sample collection and storage.

Whole-blood samples were collected from 150 consenting patients presenting for a routine HIV VL test at the ARV clinic of the Johannesburg Hospital, South Africa, and placed in K3EDTA. The plasma was extracted within 4 h of collection and was stored in aliquots at −80°C until further processing. The samples were then thawed and centrifuged at 3,000 × g for 5 min, and specified volumes were added to each assay according to the manufacturers' instructions. This study was conducted with ethics approval (M061105) from the Human Ethics Committee of the University of the Witwatersrand (Johannesburg, South Africa).

Methodologies for VL determination.

All assays were performed by dedicated, trained operators in good laboratory practice-compliant laboratories, according to the manufacturers' instructions. The m2000 system is based on the real-time PCR technology and consists of two instruments: the Abbott m2000sp instrument (automated extraction) and the m2000rt instrument (real-time PCR), which amplifies and detects HIV-1 amplicons. The system automates a variety of manual processing steps, such as pipetting, which helps to reduce the hands-on time required to prepare patient samples. The detection of the PCR product in real time uses a probes of a relatively new design: partially double-stranded probes. The probe consists of two DNA fragments of different lengths: the longer fragment is complementary to the target DNA and is bound to a fluorescent marker, while the shorter fragment holds the quencher molecule. When the target DNA is not present, the long probe binds to the quencher probe and no fluorescence is detected; when the target DNA is present, the long probe preferentially binds to the target DNA and is able to fluoresce to give a quantifiable signal. The advantage of the use of these probes is their increased tolerance of mismatches (16, 19), which is particularly useful for viruses, such as HIV, which are highly mutable. Table 1 summarizes the salient characteristics of each assay.

TABLE 1.

Characteristics of Abbott RealTime HIV-1, NucliSENS HIV-1, CAP/CTM HIV-1, and CAP/CA HIV-1

Abbreviation Full name Target in HIV-1 Extraction Amplification and detection Amplification and detection instrument Actual plasma vol (ml) used for extraction Assay sample input vol (ml) Reported result Linear range Conversion 95% detection
RealTime HIV-1 Abbott RealTime HIV-1 assay pol IN Automated m2000sp RNA Real-time PCR, noncompetitive fluorescent detection (16, 19) m2000rt 0.8 0.6 No. of copies/ml or IU/ml; detectable quantifiable, detectable beyond upper quantifiable limit (<40copies/ml), undetectable 40-1 × 107 copies/ml 1 copy = 1.74 IU 39 copies/ml (68 IU/ml)
NucliSENS HIV-1 NucliSENS EasyQ-EasyMag HIV-1 assay gag Automated EasyMag total nucleic acid Real-time nucleic acid sequence-based PCR with fluorescent detection (molecular beacons with reporter and quencher molecule) (4, 39) NucliSENS analyzer 1.0 1.0 IU/ml or no. of copies/ml; detectable within linear range, not detectable. or below detectable limit 100-3 × 106 IU/ml 1 copy = 1 IUa 250 IU/ml
CAP/CTM HIV-1 Cobas AmpliPrep-Cobas TaqMan HIV-1 assay gag Automated Cobas AmpliPrep RNA Real-time PCR: fluorescent detection with TaqMan probes (5′-nuclease probe breakage) with fluorophore and quencher) (18) Cobas TaqMan 1.0 0.85 No. of copies/ml or IU/ml; detectable quantifiable, detectable beyond upper quantifiable limit (<40copies/ml), undetectable 40-1 × 107 copies/ml 1 copy = 1.7 IU 40 copies/ml (68 IU/ml)
CAP/CA HIV-1 Cobas AmpliPrep-Cobas Amplicor HIV-1 Monitor (version 1.5) (standard) assay gag Automated Cobas AmpliPrep RNA Manual loading, PCR with endpoint detection: photometric quantification of an enzyme-linked color reaction (1) Cobas Amplicor 0.35 0.20 No. of copies/ml or IU/ml 400-750,000 copies/ml 1 copy = 1.96 IU 400 copies/ml
a

Confirmed by supplier's memorandum.

Statistical analysis.

To accommodate the differences in the reportable ranges between the endpoint and real-time assays, as outlined in Table 1, and to prevent the skewing of the data, all the values were modified according to the CAP/CA HIV-1 limits. Any continuous value of <400 copies/ml was changed to read 400 copies/ml, and any value of >750,000 copies/ml was changed to read 750,000 copies/ml (6). These adjusted values were then log10 transformed. The data were sorted according to qualitative and quantitative values. Samples in which HIV-1 was not detected by one or more assays were excluded from the continuous data analysis but were used for the qualitative analysis. All assay results are reported in copy numbers/ml.

Precision and accuracy of RealTime HIV-1.

The intravariability and intervariability for only RealTime HIV-1 were confirmed in this study of local specimens and compared to the manufacturer's claims. Three samples were diluted in HIV-negative human plasma (to concentrations of 100,000 copies/ml, 1,000 copies/ml, and 100 copies/ml) and stored in 25 aliquots of 1 ml each. Intravariability was measured from five aliquots tested in one run. Intervariability was measured by analyzing a different run each day for 5 days (five runs). Variability was assessed by using the standard deviation (SD) and the coefficient of variation (CV) on both the absolute and the log-transformed data, which are reported as a range (lowest to highest) for the five runs. These values were compared to the manufacturer's claims. As a guide, an SD value of ≤0.15 for the log-transformed values and a CV of ≤35% for the absolute values is generally acceptable (5).

Accuracy was determined for continuous values by using the Bland-Altman difference plot (3) and the percent similarity (30), which measure the amount of agreement between assays. Linear regression is also reported with the equation of the line, the R2 value, and the P value for the intercept. The Bland-Altman plot records the bias (with the limits of agreement) between two methods. The distance between the two limits of agreement, which is the value of both limits of agreement added (ignoring their signs) and divided by 2, is also reported and shows the overall difference for 95% of the data. The bias of all the assays converted to IU/ml with confidence intervals is also reported. The percentage of outliers of >log 0.5 and >log 1.0 copy/ml were also calculated for each comparison. The percent similarity (30) determines the percent accuracy between two or more methods by using the mean percent similarity and the precision between two methods by using the percent similarity SDs. Both these values are reported as overall agreement between methods as a percent similarity CV.

Qualitative analysis.

The assays were also evaluated with respect to the following qualitative parameters: sample handling, the time required to obtain a reportable result, capacity (number of patient samples and number of controls per run, extraction, and detection), and the robustness of the tests. All analyses were performed with Microsoft Excel software and SAS (version 9.1) software with the Enterprise guide (version 3.1).

Subtype panel.

A 20-member HIV-1 subtype panel derived from HIV-1-infected blood donors in Cameroon, South Africa, Thailand, and Uganda was obtained from the Abbott Diagnostics Global Surveillance Program and consisted of five subtype CRF02-AG, three subtype CRF01-AE, three subtype G, three subtype A, three subtype D, and three subtype F isolates. Subtype assignments were based on sequence analysis of gag p24, pol IN, and env gp41 IDR, as described previously (36), thus including the target regions of all the assays being evaluated. The panel was designed to represent common group M, non-subtype B subtypes and circulating recombinant forms. The panel samples were stored at −80°C prior to testing, and testing was performed only by the three real-time assays and not on the Cobas Amplicor platform. The panel had not previously been tested by CAP/CTM HIV-1 or NucliSENS HIV-1.

RESULTS

RealTime HIV-1 precision analysis.

The intravariability for the RealTime HIV-1 was as follows: the SD was 0.04 to 0.07, the CV was 0.91 to 1.4%, and the absolute CV was 11.3 to 17.9% for log5 copies/ml; the SD was 0.05 to 0.09, the CV was 1.6 to 2.9%, and the absolute CV was 11.7 to 18.9% for log3 copies/ml; and the SD was 0.04 to 0.16, the CV was 1.7 to 7.9%, and the absolute CV was 9.4 to 34.0% for log2 copies/ml. The intervariability was as follows: the SD was 0.07 to 0.11, the CV was 1.5 to 2.2%, and the absolute CV was 18.6 to 28.8% for log5 copies/ml; the SD was 0.09 to 0.15, the CV was 2.5 to 4.7%, and the absolute CV was 18.7 to 34.7% for log3 copies/ml; and the SD was 0.13 to 0.25, the CV was 7.7 to 10.7%, and the absolute CV was 32.5 to 52.1% for log2 copies/ml. The intra-assay variability appeared to be stable throughout the runs for the entire range of log values, although as expected, the assay appeared to be less precise in the lower VL range (log 2.0), but with only one run producing a variability (CV) of >35% on the absolute result. This increased variability appeared in run 5, which contributed to the increased intervariability, and may reflect a loss of VL on storage, which becomes more noticeable at the lower limit. Total assay variability, according to the Abbott manufacturer's claim (<0.3 SD copy/ml) however, is acceptable at all VL ranges.

RealTime HIV-1 accuracy analysis by description of data as continuous and discrete variables.

The 150 samples yielded 67 continuous values and 83 samples yielded results that registered lower than the detectable limit or target not detected. The latter results were obtained for patients attending the clinic for monitoring of VLs while they were receiving ARV treatment. These discrete results yielded 10 continuous values (12%) for NucliSENS HIV-1 (2 values were greater than the reported linear limits of 120 IU/ml to 750 IU/ml), 5 continuous values (6%) for CAP/CTM HIV-1 (51 copies/ml, 53 copies/ml, 68 copies/ml, 146 copies/ml, 155 copies/ml), 3 continuous values (3.6%) for RealTime HIV-1 (45 copies/ml, 50 copies/ml, 167 copies/ml), and no continuous values (0%) for CAP/CA HIV-1.

The remaining continuous values were capped according to the limits for CAP/CA HIV-1 (400 to 750,000 copies/ml). The mean and median values for the respective assays were as follows: log 4.72 copies/ml for NucliSENS HIV-1, log 4.95 copies/ml for CAP/CTM HIV-1, log 4.72 copies/ml for RealTime HIV-1, and log 4.94 for CAP/CA HIV-1. The medians for the four assays ranged from 4.94 to 5.44 copies/ml, showing that the values for the majority of samples in this data set were in the upper range.

The comparative statistics are detailed in Tables 2 to Table 5, in which the results of each assay are compared to those of all the other assays. The Bland-Altman difference plots for these assay combinations is also represented in Fig. 1. The results of RealTime HIV-1 compared to those of all assays showed that the no-intercept model could be applied when the results of RealTime HIV-1 are compared to those of NucliSENS HIV-1. Comparison of the results of RealTime HIV-1 to those of CAP/CTM HIV-1 and CAP/CA HIV-1 had a significant intercept (P < 0.05). However, the coefficient of determination for CAP/CTM HIV-1 was the highest, showing that the equation of the line between RealTime HIV-1 and CAP/CTM HIV-1 represents 90.8% of the data. The smallest bias in copies/ml was with NucliSENS HIV-1, and the smallest bias in IU/ml was with CAP/CTM HIV-1. The latter comparison also had the smallest variability (the lowest SD) and also the smallest distance over the 95% limits of agreement. The lowest number of outliers of <log 0.5 copy/ml was from the comparison of RealTime HIV-1 with CAP/CTM HIV-1, but the comparison of RealTime HIV-1 with CAP/CA HIV-1 showed no clinically relevant outliers (>log 1.0 copy/ml). The comparison of RealTime HIV-1 and CAP/CTM HIV-1 has the lowest percent similarity CV (overall accuracy and precision).

TABLE 2.

Bland-Altman plots and percent similarity statistical parameters for measurement of agreement between RealTime HIV-1 and NucliSENS HIV-1, CAP/CTM HIV-1, and CAP/CA HIV-1a

Assay Linear regression
Bland-Altman difference plots
% Similarity
Equation P value on intercept R2 Biasb
SD Limits of agreement Distance over limits No. (%) outliers of:
Mean SD CV
No. of copies/ml IU/ml >Log 0.5 copy/ml >Log 1.0 copy/ml
NucliSENS HIV-1 y = 0.939x + 0.286 0.195 0.868 −0.001 (−0.098, 0.094) 0.233 (0.136, 0.329) 0.395 0.789, −0.791 0.79 14 (20.9) 2 (2.98) 100.20 4.73 4.72
CAP/CTM HIV-1 y = 0.899x + 0.348 0.046 0.908 0.125 (0.045, 0.20) 0.136 (0.057, 0.125) 0.323 0.771, −0.521 0.646 7 (10.4) 2 (2.98) 99 3.66 3.70
CAP/CA HIV-1 y = 0.942x + 0.5 0.017 0.883 −0.228 (−0.318, −0.137) 0.30 (0.209, 0.391) 0.371 0.514, −0.97 0.742 22 (32.8) 0 102.80 4.70 4.57
a

All results are reported as numbers of copies/ml unless stated otherwise for n = 67 samples.

b

Values in parentheses are 95% confidence intervals.

TABLE 5.

Bland-Altman plots and percent similarity statistical parameters for measurement of agreement between CAP/CA HIV-1 and NucliSENS HIV-1, CAP/CTM HIV-1 and RealTime HIV-1a

Assay Linear regression
Bland-Altman difference plots
% Similarity
Equation P value on intercept R2 Biasb
SD Limits of agreement Distance over limits No. (%) outliers of:
Mean SD CV
No. of copies/ml IU/ml >Log 0.5 copy/ml >Log 1.0 copy/ml
NucliSENS HIV-1 y = 0.946x + 0.038 0.858 0.858 0.226 (0.137, 0.316) −0.067 (−0.157, 0.022) 0.366 0.958, −0.506 0.732 14 (20.9) 3 (4.47) 97.80 4.02 4.11
CAP/CTM HIV-1 y = 0.889x + 0.191 0.323 0.893 0.35 (0.267, 0.437) −0.16 (−0.249, −0.079) 0.349 1.048, −0.348 0.698 25 (37.3) 3 (4.47) 96.60 3.57 3.70
RealTime HIV-1 y = 0.937x + 0.084 0.697 0.883 0.228 (0.137, 0.318) −0.30 (−0.39, −0.21) 0.371 0.97, −0.514 0.742 22 (32.8) 0 97.80 4.35 4.45
a

All results are reported as numbers of copies/ml, unless stated otherwise, for n = 67 samples.

b

Values in parentheses are 95% confidence intervals.

FIG. 1.

FIG. 1.

Bland-Altman analysis scatter plots of the comparison of the results of all assays to each other. The vertical axis is the difference between the assays. The horizontal axis is the average log-transformed values of all assays, represented as copies/ml (c/ml). The assay names are given on each plot.

The comparison of the results of NucliSENS HIV-1 and those of all other assays showed that the no-intercept model could be applied to the comparison of the results of NucliSENS HIV-1 with those of RealTime HIV-1, and the highest R2 value occurred with CAP/CA HIV-1. The smallest bias was with RealTime HIV-1 when the results were reported in copies/ml but was with CAP/CA HIV-1 when the results were reported in IU/ml. CAP/CA HIV-1 also had the lowest variability (SD) and the smallest distance over the limits of agreement. The fewest outliers <log 0.5 copy/ml was with RealTime HIV-1 and CAP/CA HIV-1, with no clinically relevant outliers (>log 1.0 copy/ml) being detected compared to the results of CAP/CTM HIV-1. The comparison of NucliSENS HIV-1 and RealTime HIV-1 had the lowest percent similarity CV (overall accuracy and precision).

The comparison of the results of CAP/CTM HIV-1 and those of all other assays showed that the no-intercept model could be applied between all three other assays (P > 0.05), with the highest coefficient of determination being achieved with RealTime HIV-1. The smallest bias was between NucliSENS HIV-1 and RealTime HIV-1 for results reported in copies/ml and NucliSENS HIV-1 for results reported in IU/ml. The least variability was with RealTime HIV-1, and the smallest differences for 95% of the data pairs were obtained with RealTime HIV-1. RealTime HIV-1 had the fewest outliers of <log 0.5 copy/ml, but there was no clinically relevant difference (>log 1.0 copy/ml) with NucliSENS HIV-1. The comparison of CAP/CTM HIV-1 and RealTime HIV-1 had the lowest percent similarity CV (overall accuracy and precision).

The comparison of the results of CAP/CA HIV-1 and those of all other assays showed that the no-intercept model could be applied to all assays, with the highest coefficient of determination being achieved with CAP/CTM HIV-1. The smallest bias was with NucliSENS HIV-1 and RealTime HIV-1 for results reported in copies/ml and with NucliSENS HIV-1 for results reported in IU/ml. The lowest variability was with CAP/CTM HIV-1, which also had the smallest distance over the limits of agreement. The fewest outliers of <log 0.5 copy/ml was with NucliSENS HIV-1, and no clinically relevant outliers (>log 1.0 copy/ml) were achieved with RealTime HIV-1. The comparison of the results of CAP/CA HIV-1 and CAP/CTM HIV-1 had the lowest percent similarity CV (overall accuracy and precision).

Overall, the assay combinations with the highest coefficients of determination were RealTime HIV-1 and CAP/CTM HIV-1 (R2 = 0.908). The smallest bias was between RealTime HIV-1 and NucliSENS HIV-1 (−0.001 copy/ml) and between NucliSENS HIV-1 and CAP/CA HIV-1 (0.067 IU/ml). The least variability in differences was between RealTime HIV-1 and CAP/CTM HIV-1 (SD, 0.323 copy/ml), which also had the smallest distance between limits of agreement (0.646 copy/ml). The fewest total number of outliers (both >log 0.5 copy/ml and >log 1.0 copy/ml) occurred between RealTime HIV-1 and CAP/CTM HIV-1, whereas the comparisons of CAP/CTM HIV-1 and NucliSENS HIV-1 and of RealTime HIV-1 and CAP/CA HIV-1 showed no clinically relevant outliers (>log 1.0 copy/ml). In terms of overall accuracy and precision (measured by the percent similarity), the assay combinations with the lowest percent similarity CV were CAP/CTM HIV-1 and CAP/CA HIV-1 (3.7%) and RealTime HIV-1 and CAP/CTM HIV-1 (3.7%).

Subtype panel analysis.

All three real-time assays quantified the 20 members of the subtype panel. NucliSENS HIV-1 reported one subtype F specimen as invalid, but on repeat testing yielded 3,300 IU/ml. NucliSENS HIV-1 generated lower values than the other assays for many of the specimens, and RealTime HIV-1 tended to generate higher values than the other assays. Only four samples (two of subtype G and two of subtype CRF02-AG) produced differences of >log 1.0 copy/ml between assays. Three were between RealTime HIV-1 and NucliSENS HIV-1 and one was between RealTime HIV-1 and CAP/CTM HIV-1.

Qualitative assay analysis for determination of robustness of assays.

All assays gave valid results for all except one of the specimens when they were used to test the patient specimens. One invalid result was reported by CAP/CTM HIV-1 (retesting yielded a target not similar to the targets detected by the other assays). Table 6 outlines the throughput of samples for all four assays that can be performed in the laboratory in Johannesburg, South Africa, together with the number of staff required for each method. The throughput was the highest for NucliSENS HIV-1, followed by that for RealTime HIV-1. Although the TaqMan 48 instrument was used in this study, a TaqMan 96 instrument is available on the market, and that instrument would generate 84 patient results per run (including 12 controls per batch for a total of 96 samples). Staff requirements are greater for NucliSENS HIV-1. RealTime HIV-1 and CAP/CTM HIV-1 can also be performed in a laboratory area without separating the extraction and amplification components. Both the NucliSENS HIV-1 and the RealTime HIV-1 instruments have small footprints compared to the footprints of the Roche instruments, and an added advantage of RealTime HIV-1 is the utilization of the m2000rt instrument for additional real-time assay expansion.

TABLE 6.

Assay characteristics for a one-shift result reporting cycle, not including daily maintenance and consumable loading and reagent preparation

Assay No. of controls/no. of samples to be tested Extraction capacity for one instrument Amplification and detection No. of reportable patient samples/day No. of staff
CAP/CA HIV-1 3/21 One AmpliPrep: 1 run = 21 samples = 2 hb One Amplicor instrument (manual master mixture): 1 run = 21 patient samples = 6 h 21c 2
CAP/CTM HIV-1 3/21 One AmpliPrep: 1 run = 21 samples = 2 h, second run = 21 samples = 1 h One TaqMan 48 instrumenta: 1 run = 42 patient samples = 4 h 45 1
NucliSENS HIV-1 3/21a One EasyMag: 6 runs (21 samples/run) = 4 h (40mins/run) = 126 samples One EasyQ analyzer: 3 runs, 42 patient samples each run = 126 patient samples = 3 h 126 2
Real Time HIV-1 3/93 One m2000sp: 1 run = 93 samples = 3.5 h One m2000rt (automated master mixture): 1 run = 93 samples = 3.5 h 93 1
a

This is laboratory specific. This value is per the Johannesburg protocol.

b

Additional runs (second run of 21 samples in 1 h and third run of 21 samples in 1 h) can be prepared during the same shift but cannot be amplified and detected during the same day.

c

After 1-h result reporting.

DISCUSSION

The South African ARV program is unique for a program in a resource-limited setting for the following reasons: VL testing is currently used to determine the need for a switch of a failing drug regimen, the result is required within 72 h of collection, the volumes of samples that need to be processed for VL determination are enormous, and the epidemic predominantly involves a single subtype, HIV-1 subtype C. National routine VL testing laboratories, as in many resource-constrained countries, are characterized by a shortage of skilled technical staff and limited laboratory space. The requirements of the VL testing program are thus (i) an accurate, reliable, and robust assay; (ii) a high-throughput platform with which to facilitate a rapid turnaround time; (iii) small instrument footprints; (iv) the ability to use less skilled staff; (v) simpler transport requirements; and (vi) an affordable cost per reportable result. Many VL evaluations have been conducted locally (10, 21, 31, 32-35), but the present study is the first to investigate the newly available RealTime HIV-1, an automated (m2000sp and m2000rt) assay, in a high-throughout laboratory in the South African environment of HIV-1 subtype C in a side-by-side comparison with three existing platforms.

The variability of RealTime HIV-1 appears to be acceptable across the VL ranges investigated, which concurs with the findings of other studies (13, 23, 29). There is increased variability in the lower VL range (log2), which is typical of most VL assays (5). RealTime HIV-1 showed the least fluctuation (n = 3 [3.6%]) at the lower limit of detection compared to the fluctuations shown by the other real-time assays. The statistical models concur that RealTime HIV-1 compares favorably with all the existing assays tested in this laboratory and overall performs the best in comparison with the performance of CAP/CTM HIV-1. Similar comparisons of these two assays have been reported in the literature (6, 44). The overall comparison between RealTime HIV-1 and NucliSENS HIV-1 was the least favorable, which was similarly noted in a Chinese study (46). Our study also highlights the changes that can occur in the bias between assays when a conversion between copy number and IU is made and that caution is required when one changes between assays or reporting units. One such difference was noted between CAP/CTM HIV-1 and CAP/CA HIV-1, in which the bias changed from −0.35 copy/ml to 0.16 IU/ml.

The genetic diversity of HIV-1 presents a significant challenge to the development of assays capable of reliably quantifying all strains of the virus (7, 15, 34). In the present study, we utilized a 20-member panel comprising subtype A, D, F, G, CRF01-AE, and CRF02-AG strains over and above the local subtype C samples to evaluate the comparative performance characteristics of the three real-time assays. All three real-time assays were able to quantify all panel members. All three systems adequately detected subtypes B, D, and F. The subtypes for which >log 1.0 variance was achieved were subtypes G (n = 2) and CRF02-AG (n = 2) with NucliSENS HIV-1 and RealTime HIV-1 and subtype CRF02-AG (n = 1) with CAP/CTM HIV-1 and RealTime HIV-1. These differences for NucliSENS HIV-1 and CAP/CTM HIV-1 have been reported previously (7, 8, 13-15, 31).

The qualitative characteristics of RealTime HIV-1 compare favorably with those of existing assays, in that it performs test of 93 samples in one shift (results are reportable in one 8-h day). Although this is less time than that required for the current NucliSENS HIV-1 technology, RealTime HIV-1 requires less manual preparation (38) and therefore fewer staff. In addition, the amplification procedure can be left overnight, which increases the number of tests in a cycle, although not in a single shift. In this study the RealTime HIV-1 methodology was found to be easy to perform, and no repeat tests were required for any sample. Controls are also supplied with each batch, and the number of controls is also the same if 48 or 96 tests are performed. This assay showed overall good performance and potential for use with samples from populations predominantly infected with HIV-1 subtype C. It is reliable, minimizes contamination through the use of automation, and has a rapid turnaround time (with few requirements for time-consuming manual steps); and the assay has the potential to be expanded for use for the detection of other organisms: hepatitis C virus (43), Chlamydia trachomatis, and Neisseria gonorrhoeae (22).

TABLE 3.

Bland-Altman plots and percent similarity statistical parameters for measurement of agreement between NucliSENS HIV-1 and CAP/CTM HIV-1, RealTime HIV-1, and CAP/CA HIV-1a

Assay Linear regression
Bland-Altman difference plots
% Similarity
Equation P value on intercept R2 Biasb
SD Limits of agreement Distance over limits No. (%) outliers of:
Mean SD CV
No. of copies/ml IU/ml >Log 0.5 copy/ml >Log 1.0 copy/ml
CAP/CTM HIV-1 y = 0.867x + 0.5 0.021 0.857 0.126 (0.027, 0.225) −0.096 (−0.195, 0.002) 0.406 0.938, −0.686 0.812 18 (26.9) 0 99 4.92 4.97
RealTime HIV-1 y = 0.92x + 0.356 0.104 0.868 0.002 (−0.095, 0.098) −0.23 (−0.329, −0.137) 0.395 0.792, −0.788 0.79 14 (20.9) 2 (2.98) 100.20 4.75 4.71
CAP/CA HIV-1 y = 0.936x + 0.526 0.011 0.886 −0.226 (−0.316;−0.137) 0.067 (−0.022, 0.157) 0.366 0.958, −0.506 0.732 14 (20.9) 3 (4.47) 102.80 5.22 5.08
a

All results are reported as numbers of copies/ml, unless stated otherwise, for n = 67 samples.

b

Values in parentheses are 95% confidence intervals.

TABLE 4.

Bland-Altman plots and percent similarity statistical parameters for measurement of agreement between CAP/CTM HIV-1 and NucliSENS HIV-1, RealTime HIV-1, and CAP/CA HIV-1a

Assay Linear regression
Bland-Altman difference plots
% Similarity
Equation P value on intercept R2 Biasb
SD Limits of agreement Distance over limits No. (%) outliers of:
Mean SD CV
No. of copies/ml IU/ml >Log 0.5 copy/ml >Log 1.0 copy/ml
NucliSENS HIV-1 y = 0.988x + 0.178 0.452 0.857 −0.126 (−0.225, −0.027) 0.096 (−0.002, 0.195) 0.406 0.686, −0.938 0.812 18 (26.9) 0 101.50 4.86 4.79
RealTime HIV-1 y = 1.009x + 0.08 0.662 0.908 −0.124 (−0.208, −0.046) −0.136 (−0.215, −0.057) 0.323 0.522, −0.77 0.646 7 (10.5) 2 (2.98) 101.40 3.86 3.81
CAP/CA HIV-1 y = 1.004x + 0.335 0.102 0.893 −0.352 (−0.438, −0.267) 0.16 (0.078, 0.248) 0.349 0.346, −1.05 0.698 25 (37.3) 3 (4.47) 104 4.23 4.07
a

All results are reported as numbers of copies/ml, unless stated otherwise, for n = 67 samples.

b

Values in parentheses are 95% confidence intervals.

Acknowledgments

We thank Abbott Molecular Diagnostics, Roche Diagnostics, and BioMérieux for assay reagents and consumables and critical comments on the prepublished manuscript. We also thank John Hackett, Jr., from Abbott Diagnostics for assistance with the subtype panel and manuscript preparation; Margaret Langeveldt for collecting the specimens from consenting adults in EDTA-containing tubes; and the National Health Laboratory Service PCR Laboratory staff in the Department of Molecular Medicine and Haematology for performing the routine analysis by CAP/CTM HIV-1, CAP/CA HIV-1, and NucliSENS HIV-1.

This publication was made possible by the generous support of the American people through the U.S. Agency for International Development (USAID).

The contents of this report are the responsibility of the authors and do not necessarily reflect the views of USAID or the U.S. government.

Footnotes

Published ahead of print on 6 May 2009.

REFERENCES

  • 1.Alaeus, A., E. Lilja, S. Herman, J. Spadoro, J. Wang, and J. Albert. 1999. Assay of plasma samples representing different HIV-1 genetic subtypes: an evaluation of new versions of the Amplicor HIV-1 monitor assay. AIDS Res. Hum Retrovir. 15889-894. [DOI] [PubMed] [Google Scholar]
  • 2.Bekker, L. G., L. Myer, C. Orrell, S. Lawn, and R. Wood. 2006. Rapid scale-up of a community-based HIV treatment service: programme performance over 3 consecutive years in Guguletu, South Africa. S. Afr. Med. J. 96315-320. [PubMed] [Google Scholar]
  • 3.Bland, J. M., and D. G. Altman. 1999. Measuring agreement in method comparison studies. Stat. Methods Med. Res. 8135-160. [DOI] [PubMed] [Google Scholar]
  • 4.Bonnet, G., S. Tyagi, A. Libchaber, and F. R. Kramer. 1999. Thermodynamic basis of the enhanced specificity of structured DNA probes. Proc. Natl. Acad. Sci. USA 966171-6176. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Brambilla, D., S. Granger, and J. Bremer. 2000. Abstr. 7th Conf. Retrovir. Opportunist. Infect., abstr. 774.
  • 6.Braun, P., R. Ehret, F. Wiesmann, F. Zabbai, M. Knickmann, R. Kuhn, S. Thamm, G. Warnat, and H. Knechten. 2007. Comparison of four commercial quantitative HIV-1 assays for viral load monitoring in clinical daily routine. Clin. Chem. Lab. Med. 4593-99. [DOI] [PubMed] [Google Scholar]
  • 7.Damond, F., B. Roquebert, A. Benard, G. Collin, M. Miceli, P. Yeni, F. Brun-Vezinet, and D. Descamps. 2007. Human immunodeficiency virus type 1 (HIV-1) plasma load discrepancies between the Roche COBAS AMPLICOR HIV-1 MONITOR Version 1.5 and the Roche COBAS AmpliPrep/COBAS TaqMan HIV-1 assays. J. Clin. Microbiol. 453436-3438. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.de Mendoza, C., M. Koppelman, B. Montes, V. Ferre, V. Soriano, H. Cuypers, M. Segondy, and T. Oosterlaken. 2005. Multicenter evaluation of the NucliSens EasyQ HIV-1 v1.1 assay for the quantitative detection of HIV-1 RNA in plasma. J. Virol. Methods 12754-59. [DOI] [PubMed] [Google Scholar]
  • 9.Dorrington, R. E. 2002. How many people are currently infected with HIV in South Africa? S. Afr. Med. J. 92196-197. [PubMed] [Google Scholar]
  • 10.Drosten, C., M. Panning, J. F. Drexler, F. Hansel, C. Pedroso, J. Yeats, L. K. de Souza Luna, M. Samuel, B. Liedigk, U. Lippert, M. Sturmer, H. W. Doerr, C. Brites, and W. Preiser. 2006. Ultrasensitive monitoring of HIV-1 viral load by a low-cost real-time reverse transcription-PCR assay with internal control for the 5′ long terminal repeat domain. Clin. Chem. 521258-1266. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Fiscus, S. A., B. Cheng, S. M. Crowe, L. Demeter, C. Jennings, V. Miller, R. Respess, and W. Stevens. 2006. HIV-1 viral load assays for resource-limited settings. PLoS Med. 3e417. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Garcia-Diaz, A., G. S. Clewley, C. L. Booth, W. Labett, N. McAllister, and A. M. Geretti. 2006. Comparative evaluation of the performance of the Abbott real-time human immunodeficiency virus type 1 (HIV-1) assay for measurement of HIV-1 plasma viral load following automated specimen preparation. J. Clin. Microbiol. 441788-1791. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Gottesman, B. S., Z. Grossman, M. Lorber, I. Levi, P. Shitrit, M. Katzir, E. Shahar, G. Gottesman, and M. Chowers. 2006. Comparative performance of the Amplicor HIV-1 Monitor assay versus NucliSens EasyQ in HIV subtype C-infected patients. J. Med. Virol. 78883-887. [DOI] [PubMed] [Google Scholar]
  • 14.Griffith, B. P., and D. R. Mayo. 2006. Increased levels of HIV RNA detected in samples with viral loads close to the detection limit collected in plasma preparation tubes (PPT). J. Clin. Virol. 35197-200. [DOI] [PubMed] [Google Scholar]
  • 15.Gueudin, M., J. C. Plantier, V. Lemee, M. P. Schmitt, L. Chartier, T. Bourlet, A. Ruffault, F. Damond, M. Vray, and F. Simon. 2007. Evaluation of the Roche Cobas TaqMan and Abbott RealTime extraction-quantification systems for HIV-1 subtypes. J. Acquir. Immune Defic. Syndr. 44500-505. [DOI] [PubMed] [Google Scholar]
  • 16.Huang, S., J. Salituro, N. Tang, K. C. Luk, J. Hackett, Jr., P. Swanson, G. Cloherty, W. B. Mak, J. Robinson, and K. Abravaya. 2007. Thermodynamically modulated partially double-stranded linear DNA probe design for homogeneous real-time PCR. Nucleic Acids Res. 35e101. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Katsoulidou, A., M. Petrodaskalaki, V. Sypsa, E. Papachristou, C. G. Anastassopoulou, P. Gargalianos, A. Karafoulidou, M. Lazanas, T. Kordossis, A. Andoniadou, and A. Hatzakis. 2006. Evaluation of the clinical sensitivity for the quantification of human immunodeficiency virus type 1 RNA in plasma: comparison of the new COBAS TaqMan HIV-1 with three current HIV-RNA assays—LCx HIV RNA quantitative, VERSANT HIV-1 RNA 3.0 (bDNA) and COBAS AMPLICOR HIV-1 Monitor v1.5. J. Virol. Methods 131168-174. [DOI] [PubMed] [Google Scholar]
  • 18.Livak, K. J., S. J. Flood, J. Marmaro, W. Giusti, and K. Deetz. 1995. Oligonucleotides with fluorescent dyes at opposite ends provide a quenched probe system useful for detecting PCR product and nucleic acid hybridization. PCR Methods Appl. 4357-362. [DOI] [PubMed] [Google Scholar]
  • 19.Luk, K. C., S. G. Devare, and J. R. Hackett, Jr. 2007. Partially double-stranded linear DNA probes: Novel design for sensitive detection of genetically polymorphic targets. J. Virol. Methods 1441-11. [DOI] [PubMed] [Google Scholar]
  • 20.MacDougall, D. S. 1996. Quantitative measurement of HIV RNA: techniques & clinical applications. J. Int. Assoc. Physicians AIDS Care 29-14. [PubMed] [Google Scholar]
  • 21.Malmsten, A., X. W. Shao, S. Sjodahl, E. L. Fredriksson, I. Pettersson, T. Leitner, C. F. Kallander, E. Sandstrom, and J. S. Gronowitz. 2005. Improved HIV-1 viral load determination based on reverse transcriptase activity recovered from human plasma. J. Med. Virol. 76291-296. [DOI] [PubMed] [Google Scholar]
  • 22.Marshall, R., M. Chernesky, D. Jang, E. W. Hook, C. P. Cartwright, B. Howell-Adams, S. Ho, J. Welk, J. Lai-Zhang, J. Brashear, B. Diedrich, K. Otis, E. Webb, J. Robinson, and H. Yu. 2007. Characteristics of the m2000 automated sample preparation and multiplex real-time PCR system for detection of Chlamydia trachomatis and Neisseria gonorrhoeae. J. Clin. Microbiol. 45747-751. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Martin, D. 2000. Appropriate laboratory monitoring of HIV. S. Afr. Med. J. 9033-36. [PubMed] [Google Scholar]
  • 24.National Department of Health, South Africa. 2004. ART treatment guidelines. National Department of Health, Pretoria, South Africa. http://www.doh.gov.za/docs/factsheets/guidelines/artguidelines04.
  • 24a.Ojikutu, B., A. T. Makadzange, and T. Gaolathe. 2008. Scaling up ART treatment capacity: lessons learned from South Africa, Zimbabwe, and Botswana. Curr. Infect. Dis. Rep. 1069-73. [DOI] [PubMed] [Google Scholar]
  • 25.Oliver, A. R., S. F. Pereira, and D. A. Clark. 2007. Comparative evaluation of the automated Roche TaqMan real-time quantitative human immunodeficiency virus type 1 RNA PCR assay and the Roche AMPLICOR version 1.5 conventional PCR assay. J. Clin. Microbiol. 453616-3619. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Perrin, L., J. M. Pawlotsky, M. Bouvier-Alias, C. Sarrazin, S. Zeuzem, and G. Colucci. 2006. Multicenter performance evaluation of a new TaqMan PCR assay for monitoring human immunodeficiency virus RNA load. J. Clin. Microbiol. 444371-4375. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Peter, J. B., and R. A. Blum. 2002. Monitoring HIV viral loads in the United States: recent trends and methodologies. J. Acquir. Immune Defic. Syndr. 30261-262. [DOI] [PubMed] [Google Scholar]
  • 28.Schumacher, W., E. Frick, M. Kauselmann, V. Maier-Hoyle, R. van der Vliet, and R. Babiel. 2007. Fully automated quantification of human immunodeficiency virus (HIV) type 1 RNA in human plasma by the COBAS AmpliPrep/COBAS TaqMan system. J. Clin. Virol. 38304-312. [DOI] [PubMed] [Google Scholar]
  • 29.Schutten, M., E. Fries, C. Burghoorn-Maas, and H. G. Niesters. 2007. Evaluation of the analytical performance of the new Abbott RealTime RT-PCRs for the quantitative detection of HCV and HIV-1 RNA. J. Clin. Virol. 4099-104. [DOI] [PubMed] [Google Scholar]
  • 30.Scott, L. E., J. S. Galpin, and D. K. Glencross. 2003. Multiple method comparison: statistical model using percentage similarity. Cytometry 54B46-53. [DOI] [PubMed] [Google Scholar]
  • 31.Stevens, G., N. Rekhviashvili, L. E. Scott, R. Gonin, and W. Stevens. 2005. Evaluation of two commercially available, inexpensive alternative assays used for assessing viral load in a cohort of human immunodeficiency virus type 1 subtype C-infected patients from South Africa. J. Clin. Microbiol. 43857-861. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Stevens, W., P. Horsfield, and L. E. Scott. 2007. Evaluation of the performance of the automated NucliSENS easyMAG and EasyQ systems versus the Roche AmpliPrep-AMPLICOR combination for high-throughput monitoring of human immunodeficiency virus load. J. Clin. Microbiol. 451244-1249. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Stevens, W., T. Wiggill, P. Horsfield, L. Coetzee, and L. E. Scott. 2005. Evaluation of the NucliSens EasyQ assay in HIV-1-infected individuals in South Africa. J. Virol. Methods 124105-110. [DOI] [PubMed] [Google Scholar]
  • 34.Swanson, P., C. de Mendoza, Y. Joshi, A. Golden, R. L. Hodinka, V. Soriano, S. G. Devare, and J. Hackett, Jr. 2005. Impact of human immunodeficiency virus type 1 (HIV-1) genetic diversity on performance of four commercial viral load assays: LCx HIV RNA Quantitative, AMPLICOR HIV-1 MONITOR v1.5, VERSANT HIV-1 RNA 3.0, and NucliSens HIV-1 QT. J. Clin. Microbiol. 433860-3868. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Swanson, P., B. J. Harris, V. Holzmayer, S. G. Devare, G. Schochetman, and J. Hackett, Jr. 2000. Quantification of HIV-1 group M (subtypes A-G) and group O by the LCx HIV RNA quantitative assay. J. Virol. Methods 8997-108. [DOI] [PubMed] [Google Scholar]
  • 36.Swanson, P., V. Holzmayer, S. Huang, P. Hay, A. Adebiyi, P. Rice, K. Abravaya, S. Thamm, S. G. Devare, and J. Hackett, Jr. 2006. Performance of the automated Abbott RealTime HIV-1 assay on a genetically diverse panel of specimens from London: comparison to VERSANT HIV-1 RNA 3.0, AMPLICOR HIV-1 MONITOR v1.5, and LCx HIV RNA Quantitative assays. J. Virol. Methods 137184-192. [DOI] [PubMed] [Google Scholar]
  • 37.Swanson, P., S. Huang, K. Abravaya, C. de Mendoza, V. Soriano, S. G. Devare, and J. Hackett, Jr. 2007. Evaluation of performance across the dynamic range of the Abbott RealTime HIV-1 assay as compared to VERSANT HIV-1 RNA 3.0 and AMPLICOR HIV-1 MONITOR v1.5 using serial dilutions of 39 group M and O viruses. J. Virol. Methods 14149-57. [DOI] [PubMed] [Google Scholar]
  • 38.Swanson, P., S. Huang, V. Holzmayer, P. Bodelle, J. Yamaguchi, C. Brennan, R. Badaro, C. Brites, K. Abravaya, S. G. Devare, and J. Hackett, Jr. 2006. Performance of the automated Abbott RealTime HIV-1 assay on a genetically diverse panel of specimens from Brazil. J. Virol. Methods 134237-243. [DOI] [PubMed] [Google Scholar]
  • 39.Tyagi, S., and F. R. Kramer. 1996. Molecular beacons: probes that fluoresce upon hybridization. Nat. Biotechnol. 14303-308. [DOI] [PubMed] [Google Scholar]
  • 40.UNAIDS. 2006. UNAIDS global report 2006. UNAIDS, Geneva, Switzerland. http://www.unaids.org/en/KnowledgeCentre/HIVData/GlobalReport/2006.
  • 41.Reference deleted.
  • 42.Wallis, C., C. Bell, R. Boulme, I. Sanne, F. Venter, M. Papathanasopoulos, and W. Stevens. 2007. Abstr. Conf. Retrovir. Opportunist. Infect., abstr. 661.
  • 43.Wittek, M., M. Sturmer, H. W. Doerr, and A. Berger. 2007. Molecular assays for monitoring HIV infection and antiretroviral therapy. Expert Rev. Mol. Diagn. 7237-246. [DOI] [PubMed] [Google Scholar]
  • 44.Wolff, D., and A. Gerritzen. 2007. Comparison of the Roche COBAS Amplicor Monitor, Roche COBAS AmpliPrep/COBAS Taqman and Abbott RealTime Test assays for quantification of hepatitis C virus and HIV RNA. Clin. Chem. Lab. Med. 45917-922. [DOI] [PubMed] [Google Scholar]
  • 45.World Health Organization. 2006. ART for HIV infection in adults and adolescents in resource-limited settings: toward universal access, 2006 revision. World Health Organization, Geneva, Switzerland. http://www.who.int/hiv/mediacentre/fs_2006guidelines_art/.
  • 46.Xu, S., A. Song, X. Li, J. Li, Z. Bao, P. Mao, Q. Zhao, and Y. Wang. 2008. Performance of the Abbott RealTime HIV-1 assay for quantification of HIV-1 clades prevalent in China. J. Clin. Virol. 41305-309. [DOI] [PubMed] [Google Scholar]
  • 47.Yilmaz, G. 2001. Diagnosis of HIV infection and laboratory monitoring of its therapy. J. Clin. Virol. 21187-196. [DOI] [PubMed] [Google Scholar]

Articles from Journal of Clinical Microbiology are provided here courtesy of American Society for Microbiology (ASM)

RESOURCES