Comparative evaluation of the performance of the Abbott RealTime HIV-1 assay for measurement of HIV-1 plasma viral load on genetically diverse samples from Greece
Background HIV-1 is characterized by increased genetic heterogeneity which tends to hinder the reliability of detection and accuracy of HIV-1 RNA quantitation assays. Methods In this study, the Abbott RealTime HIV-1 (Abbott RealTime) assay was compared to the Roche Cobas TaqMan HIV-1 (Cobas TaqMan)...
Ausführliche Beschreibung
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| Autor*in: |
Katsoulidou, Antigoni [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2011 |
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| Anmerkung: |
© Katsoulidou et al; licensee BioMed Central Ltd. 2011 |
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| Übergeordnetes Werk: |
Enthalten in: Virology journal - London : BioMed Central, 2004, 8(2011), 1 vom: 11. Jan. |
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| Übergeordnetes Werk: |
volume:8 ; year:2011 ; number:1 ; day:11 ; month:01 |
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| DOI / URN: |
10.1186/1743-422X-8-10 |
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| Katalog-ID: |
SPR029243610 |
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| 100 | 1 | |a Katsoulidou, Antigoni |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Comparative evaluation of the performance of the Abbott RealTime HIV-1 assay for measurement of HIV-1 plasma viral load on genetically diverse samples from Greece |
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| 520 | |a Background HIV-1 is characterized by increased genetic heterogeneity which tends to hinder the reliability of detection and accuracy of HIV-1 RNA quantitation assays. Methods In this study, the Abbott RealTime HIV-1 (Abbott RealTime) assay was compared to the Roche Cobas TaqMan HIV-1 (Cobas TaqMan) and the Siemens Versant HIV-1 RNA 3.0 (bDNA 3.0) assays, using clinical samples of various viral load levels and subtypes from Greece, where the recent epidemiology of HIV-1 infection has been characterized by increasing genetic diversity and a marked increase in subtype A genetic strains among newly diagnosed infections. Results A high correlation was observed between the quantitative results obtained by the Abbott RealTime and the Cobas TaqMan assays. Viral load values quantified by the Abbott RealTime were on average lower than those obtained by the Cobas TaqMan, with a mean (SD) difference of -0.206 (0.298) $ log_{10} $ copies/ml. The mean differences according to HIV-1 subtypes between the two techniques for samples of subtype A, B, and non-A/non-B were 0.089, -0.262, and -0.298 $ log_{10} $ copies/ml, respectively. Overall, differences were less than 0.5 $ log_{10} $ for 85% of the samples, and >1 $ log_{10} $ in only one subtype B sample. Similarly, Abbott RealTime and bDNA 3.0 assays yielded a very good correlation of quantitative results, whereas viral load values assessed by the Abbott RealTime were on average higher (mean (SD) difference: 0.160 (0.287) $ log_{10} $ copies/ml). The mean differences according to HIV-1 subtypes between the two techniques for subtype A, B and non-A/non-B samples were 0.438, 0.105 and 0.191 $ log_{10} $ copies/ml, respectively. Overall, the majority of samples (86%) differed by less than 0.5 $ log_{10} $, while none of the samples showed a deviation of more than 1.0 $ log_{10} $. Conclusions In an area of changing HIV-1 subtype pattern, the Abbott RealTime assay showed a high correlation and good agreement of results when compared both to the Cobas TaqMan and bDNA 3.0 assays, for all HIV-1 subtypes tested. All three assays could determine viral load from samples of different HIV-1 subtypes adequately. However, assay variation should be taken into account when viral load monitoring of the same individual is assessed by different systems. | ||
| 650 | 4 | |a Viral Load |7 (dpeaa)DE-He213 | |
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| 650 | 4 | |a Cobas TaqMan |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Rokka, Chrysoula |4 aut | |
| 700 | 1 | |a Issaris, Catherine |4 aut | |
| 700 | 1 | |a Haida, Catherine |4 aut | |
| 700 | 1 | |a Tzannis, Kimon |4 aut | |
| 700 | 1 | |a Sypsa, Vana |4 aut | |
| 700 | 1 | |a Detsika, Maria |4 aut | |
| 700 | 1 | |a Paraskevis, Dimitrios |4 aut | |
| 700 | 1 | |a Hatzakis, Angelos |4 aut | |
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10.1186/1743-422X-8-10 doi (DE-627)SPR029243610 (SPR)1743-422X-8-10-e DE-627 ger DE-627 rakwb eng Katsoulidou, Antigoni verfasserin aut Comparative evaluation of the performance of the Abbott RealTime HIV-1 assay for measurement of HIV-1 plasma viral load on genetically diverse samples from Greece 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Katsoulidou et al; licensee BioMed Central Ltd. 2011 Background HIV-1 is characterized by increased genetic heterogeneity which tends to hinder the reliability of detection and accuracy of HIV-1 RNA quantitation assays. Methods In this study, the Abbott RealTime HIV-1 (Abbott RealTime) assay was compared to the Roche Cobas TaqMan HIV-1 (Cobas TaqMan) and the Siemens Versant HIV-1 RNA 3.0 (bDNA 3.0) assays, using clinical samples of various viral load levels and subtypes from Greece, where the recent epidemiology of HIV-1 infection has been characterized by increasing genetic diversity and a marked increase in subtype A genetic strains among newly diagnosed infections. Results A high correlation was observed between the quantitative results obtained by the Abbott RealTime and the Cobas TaqMan assays. Viral load values quantified by the Abbott RealTime were on average lower than those obtained by the Cobas TaqMan, with a mean (SD) difference of -0.206 (0.298) $ log_{10} $ copies/ml. The mean differences according to HIV-1 subtypes between the two techniques for samples of subtype A, B, and non-A/non-B were 0.089, -0.262, and -0.298 $ log_{10} $ copies/ml, respectively. Overall, differences were less than 0.5 $ log_{10} $ for 85% of the samples, and >1 $ log_{10} $ in only one subtype B sample. Similarly, Abbott RealTime and bDNA 3.0 assays yielded a very good correlation of quantitative results, whereas viral load values assessed by the Abbott RealTime were on average higher (mean (SD) difference: 0.160 (0.287) $ log_{10} $ copies/ml). The mean differences according to HIV-1 subtypes between the two techniques for subtype A, B and non-A/non-B samples were 0.438, 0.105 and 0.191 $ log_{10} $ copies/ml, respectively. Overall, the majority of samples (86%) differed by less than 0.5 $ log_{10} $, while none of the samples showed a deviation of more than 1.0 $ log_{10} $. Conclusions In an area of changing HIV-1 subtype pattern, the Abbott RealTime assay showed a high correlation and good agreement of results when compared both to the Cobas TaqMan and bDNA 3.0 assays, for all HIV-1 subtypes tested. All three assays could determine viral load from samples of different HIV-1 subtypes adequately. However, assay variation should be taken into account when viral load monitoring of the same individual is assessed by different systems. Viral Load (dpeaa)DE-He213 Detectable Viral Load (dpeaa)DE-He213 Viral Load Measurement (dpeaa)DE-He213 Viral Load Level (dpeaa)DE-He213 Cobas TaqMan (dpeaa)DE-He213 Rokka, Chrysoula aut Issaris, Catherine aut Haida, Catherine aut Tzannis, Kimon aut Sypsa, Vana aut Detsika, Maria aut Paraskevis, Dimitrios aut Hatzakis, Angelos aut Enthalten in Virology journal London : BioMed Central, 2004 8(2011), 1 vom: 11. Jan. (DE-627)394165004 (DE-600)2160640-7 1743-422X nnns volume:8 year:2011 number:1 day:11 month:01 https://dx.doi.org/10.1186/1743-422X-8-10 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2011 1 11 01 |
| spelling |
10.1186/1743-422X-8-10 doi (DE-627)SPR029243610 (SPR)1743-422X-8-10-e DE-627 ger DE-627 rakwb eng Katsoulidou, Antigoni verfasserin aut Comparative evaluation of the performance of the Abbott RealTime HIV-1 assay for measurement of HIV-1 plasma viral load on genetically diverse samples from Greece 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Katsoulidou et al; licensee BioMed Central Ltd. 2011 Background HIV-1 is characterized by increased genetic heterogeneity which tends to hinder the reliability of detection and accuracy of HIV-1 RNA quantitation assays. Methods In this study, the Abbott RealTime HIV-1 (Abbott RealTime) assay was compared to the Roche Cobas TaqMan HIV-1 (Cobas TaqMan) and the Siemens Versant HIV-1 RNA 3.0 (bDNA 3.0) assays, using clinical samples of various viral load levels and subtypes from Greece, where the recent epidemiology of HIV-1 infection has been characterized by increasing genetic diversity and a marked increase in subtype A genetic strains among newly diagnosed infections. Results A high correlation was observed between the quantitative results obtained by the Abbott RealTime and the Cobas TaqMan assays. Viral load values quantified by the Abbott RealTime were on average lower than those obtained by the Cobas TaqMan, with a mean (SD) difference of -0.206 (0.298) $ log_{10} $ copies/ml. The mean differences according to HIV-1 subtypes between the two techniques for samples of subtype A, B, and non-A/non-B were 0.089, -0.262, and -0.298 $ log_{10} $ copies/ml, respectively. Overall, differences were less than 0.5 $ log_{10} $ for 85% of the samples, and >1 $ log_{10} $ in only one subtype B sample. Similarly, Abbott RealTime and bDNA 3.0 assays yielded a very good correlation of quantitative results, whereas viral load values assessed by the Abbott RealTime were on average higher (mean (SD) difference: 0.160 (0.287) $ log_{10} $ copies/ml). The mean differences according to HIV-1 subtypes between the two techniques for subtype A, B and non-A/non-B samples were 0.438, 0.105 and 0.191 $ log_{10} $ copies/ml, respectively. Overall, the majority of samples (86%) differed by less than 0.5 $ log_{10} $, while none of the samples showed a deviation of more than 1.0 $ log_{10} $. Conclusions In an area of changing HIV-1 subtype pattern, the Abbott RealTime assay showed a high correlation and good agreement of results when compared both to the Cobas TaqMan and bDNA 3.0 assays, for all HIV-1 subtypes tested. All three assays could determine viral load from samples of different HIV-1 subtypes adequately. However, assay variation should be taken into account when viral load monitoring of the same individual is assessed by different systems. Viral Load (dpeaa)DE-He213 Detectable Viral Load (dpeaa)DE-He213 Viral Load Measurement (dpeaa)DE-He213 Viral Load Level (dpeaa)DE-He213 Cobas TaqMan (dpeaa)DE-He213 Rokka, Chrysoula aut Issaris, Catherine aut Haida, Catherine aut Tzannis, Kimon aut Sypsa, Vana aut Detsika, Maria aut Paraskevis, Dimitrios aut Hatzakis, Angelos aut Enthalten in Virology journal London : BioMed Central, 2004 8(2011), 1 vom: 11. Jan. (DE-627)394165004 (DE-600)2160640-7 1743-422X nnns volume:8 year:2011 number:1 day:11 month:01 https://dx.doi.org/10.1186/1743-422X-8-10 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2011 1 11 01 |
| allfields_unstemmed |
10.1186/1743-422X-8-10 doi (DE-627)SPR029243610 (SPR)1743-422X-8-10-e DE-627 ger DE-627 rakwb eng Katsoulidou, Antigoni verfasserin aut Comparative evaluation of the performance of the Abbott RealTime HIV-1 assay for measurement of HIV-1 plasma viral load on genetically diverse samples from Greece 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Katsoulidou et al; licensee BioMed Central Ltd. 2011 Background HIV-1 is characterized by increased genetic heterogeneity which tends to hinder the reliability of detection and accuracy of HIV-1 RNA quantitation assays. Methods In this study, the Abbott RealTime HIV-1 (Abbott RealTime) assay was compared to the Roche Cobas TaqMan HIV-1 (Cobas TaqMan) and the Siemens Versant HIV-1 RNA 3.0 (bDNA 3.0) assays, using clinical samples of various viral load levels and subtypes from Greece, where the recent epidemiology of HIV-1 infection has been characterized by increasing genetic diversity and a marked increase in subtype A genetic strains among newly diagnosed infections. Results A high correlation was observed between the quantitative results obtained by the Abbott RealTime and the Cobas TaqMan assays. Viral load values quantified by the Abbott RealTime were on average lower than those obtained by the Cobas TaqMan, with a mean (SD) difference of -0.206 (0.298) $ log_{10} $ copies/ml. The mean differences according to HIV-1 subtypes between the two techniques for samples of subtype A, B, and non-A/non-B were 0.089, -0.262, and -0.298 $ log_{10} $ copies/ml, respectively. Overall, differences were less than 0.5 $ log_{10} $ for 85% of the samples, and >1 $ log_{10} $ in only one subtype B sample. Similarly, Abbott RealTime and bDNA 3.0 assays yielded a very good correlation of quantitative results, whereas viral load values assessed by the Abbott RealTime were on average higher (mean (SD) difference: 0.160 (0.287) $ log_{10} $ copies/ml). The mean differences according to HIV-1 subtypes between the two techniques for subtype A, B and non-A/non-B samples were 0.438, 0.105 and 0.191 $ log_{10} $ copies/ml, respectively. Overall, the majority of samples (86%) differed by less than 0.5 $ log_{10} $, while none of the samples showed a deviation of more than 1.0 $ log_{10} $. Conclusions In an area of changing HIV-1 subtype pattern, the Abbott RealTime assay showed a high correlation and good agreement of results when compared both to the Cobas TaqMan and bDNA 3.0 assays, for all HIV-1 subtypes tested. All three assays could determine viral load from samples of different HIV-1 subtypes adequately. However, assay variation should be taken into account when viral load monitoring of the same individual is assessed by different systems. Viral Load (dpeaa)DE-He213 Detectable Viral Load (dpeaa)DE-He213 Viral Load Measurement (dpeaa)DE-He213 Viral Load Level (dpeaa)DE-He213 Cobas TaqMan (dpeaa)DE-He213 Rokka, Chrysoula aut Issaris, Catherine aut Haida, Catherine aut Tzannis, Kimon aut Sypsa, Vana aut Detsika, Maria aut Paraskevis, Dimitrios aut Hatzakis, Angelos aut Enthalten in Virology journal London : BioMed Central, 2004 8(2011), 1 vom: 11. Jan. (DE-627)394165004 (DE-600)2160640-7 1743-422X nnns volume:8 year:2011 number:1 day:11 month:01 https://dx.doi.org/10.1186/1743-422X-8-10 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2011 1 11 01 |
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10.1186/1743-422X-8-10 doi (DE-627)SPR029243610 (SPR)1743-422X-8-10-e DE-627 ger DE-627 rakwb eng Katsoulidou, Antigoni verfasserin aut Comparative evaluation of the performance of the Abbott RealTime HIV-1 assay for measurement of HIV-1 plasma viral load on genetically diverse samples from Greece 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Katsoulidou et al; licensee BioMed Central Ltd. 2011 Background HIV-1 is characterized by increased genetic heterogeneity which tends to hinder the reliability of detection and accuracy of HIV-1 RNA quantitation assays. Methods In this study, the Abbott RealTime HIV-1 (Abbott RealTime) assay was compared to the Roche Cobas TaqMan HIV-1 (Cobas TaqMan) and the Siemens Versant HIV-1 RNA 3.0 (bDNA 3.0) assays, using clinical samples of various viral load levels and subtypes from Greece, where the recent epidemiology of HIV-1 infection has been characterized by increasing genetic diversity and a marked increase in subtype A genetic strains among newly diagnosed infections. Results A high correlation was observed between the quantitative results obtained by the Abbott RealTime and the Cobas TaqMan assays. Viral load values quantified by the Abbott RealTime were on average lower than those obtained by the Cobas TaqMan, with a mean (SD) difference of -0.206 (0.298) $ log_{10} $ copies/ml. The mean differences according to HIV-1 subtypes between the two techniques for samples of subtype A, B, and non-A/non-B were 0.089, -0.262, and -0.298 $ log_{10} $ copies/ml, respectively. Overall, differences were less than 0.5 $ log_{10} $ for 85% of the samples, and >1 $ log_{10} $ in only one subtype B sample. Similarly, Abbott RealTime and bDNA 3.0 assays yielded a very good correlation of quantitative results, whereas viral load values assessed by the Abbott RealTime were on average higher (mean (SD) difference: 0.160 (0.287) $ log_{10} $ copies/ml). The mean differences according to HIV-1 subtypes between the two techniques for subtype A, B and non-A/non-B samples were 0.438, 0.105 and 0.191 $ log_{10} $ copies/ml, respectively. Overall, the majority of samples (86%) differed by less than 0.5 $ log_{10} $, while none of the samples showed a deviation of more than 1.0 $ log_{10} $. Conclusions In an area of changing HIV-1 subtype pattern, the Abbott RealTime assay showed a high correlation and good agreement of results when compared both to the Cobas TaqMan and bDNA 3.0 assays, for all HIV-1 subtypes tested. All three assays could determine viral load from samples of different HIV-1 subtypes adequately. However, assay variation should be taken into account when viral load monitoring of the same individual is assessed by different systems. Viral Load (dpeaa)DE-He213 Detectable Viral Load (dpeaa)DE-He213 Viral Load Measurement (dpeaa)DE-He213 Viral Load Level (dpeaa)DE-He213 Cobas TaqMan (dpeaa)DE-He213 Rokka, Chrysoula aut Issaris, Catherine aut Haida, Catherine aut Tzannis, Kimon aut Sypsa, Vana aut Detsika, Maria aut Paraskevis, Dimitrios aut Hatzakis, Angelos aut Enthalten in Virology journal London : BioMed Central, 2004 8(2011), 1 vom: 11. Jan. (DE-627)394165004 (DE-600)2160640-7 1743-422X nnns volume:8 year:2011 number:1 day:11 month:01 https://dx.doi.org/10.1186/1743-422X-8-10 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2011 1 11 01 |
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10.1186/1743-422X-8-10 doi (DE-627)SPR029243610 (SPR)1743-422X-8-10-e DE-627 ger DE-627 rakwb eng Katsoulidou, Antigoni verfasserin aut Comparative evaluation of the performance of the Abbott RealTime HIV-1 assay for measurement of HIV-1 plasma viral load on genetically diverse samples from Greece 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Katsoulidou et al; licensee BioMed Central Ltd. 2011 Background HIV-1 is characterized by increased genetic heterogeneity which tends to hinder the reliability of detection and accuracy of HIV-1 RNA quantitation assays. Methods In this study, the Abbott RealTime HIV-1 (Abbott RealTime) assay was compared to the Roche Cobas TaqMan HIV-1 (Cobas TaqMan) and the Siemens Versant HIV-1 RNA 3.0 (bDNA 3.0) assays, using clinical samples of various viral load levels and subtypes from Greece, where the recent epidemiology of HIV-1 infection has been characterized by increasing genetic diversity and a marked increase in subtype A genetic strains among newly diagnosed infections. Results A high correlation was observed between the quantitative results obtained by the Abbott RealTime and the Cobas TaqMan assays. Viral load values quantified by the Abbott RealTime were on average lower than those obtained by the Cobas TaqMan, with a mean (SD) difference of -0.206 (0.298) $ log_{10} $ copies/ml. The mean differences according to HIV-1 subtypes between the two techniques for samples of subtype A, B, and non-A/non-B were 0.089, -0.262, and -0.298 $ log_{10} $ copies/ml, respectively. Overall, differences were less than 0.5 $ log_{10} $ for 85% of the samples, and >1 $ log_{10} $ in only one subtype B sample. Similarly, Abbott RealTime and bDNA 3.0 assays yielded a very good correlation of quantitative results, whereas viral load values assessed by the Abbott RealTime were on average higher (mean (SD) difference: 0.160 (0.287) $ log_{10} $ copies/ml). The mean differences according to HIV-1 subtypes between the two techniques for subtype A, B and non-A/non-B samples were 0.438, 0.105 and 0.191 $ log_{10} $ copies/ml, respectively. Overall, the majority of samples (86%) differed by less than 0.5 $ log_{10} $, while none of the samples showed a deviation of more than 1.0 $ log_{10} $. Conclusions In an area of changing HIV-1 subtype pattern, the Abbott RealTime assay showed a high correlation and good agreement of results when compared both to the Cobas TaqMan and bDNA 3.0 assays, for all HIV-1 subtypes tested. All three assays could determine viral load from samples of different HIV-1 subtypes adequately. However, assay variation should be taken into account when viral load monitoring of the same individual is assessed by different systems. Viral Load (dpeaa)DE-He213 Detectable Viral Load (dpeaa)DE-He213 Viral Load Measurement (dpeaa)DE-He213 Viral Load Level (dpeaa)DE-He213 Cobas TaqMan (dpeaa)DE-He213 Rokka, Chrysoula aut Issaris, Catherine aut Haida, Catherine aut Tzannis, Kimon aut Sypsa, Vana aut Detsika, Maria aut Paraskevis, Dimitrios aut Hatzakis, Angelos aut Enthalten in Virology journal London : BioMed Central, 2004 8(2011), 1 vom: 11. Jan. (DE-627)394165004 (DE-600)2160640-7 1743-422X nnns volume:8 year:2011 number:1 day:11 month:01 https://dx.doi.org/10.1186/1743-422X-8-10 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2011 1 11 01 |
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Katsoulidou, Antigoni @@aut@@ Rokka, Chrysoula @@aut@@ Issaris, Catherine @@aut@@ Haida, Catherine @@aut@@ Tzannis, Kimon @@aut@@ Sypsa, Vana @@aut@@ Detsika, Maria @@aut@@ Paraskevis, Dimitrios @@aut@@ Hatzakis, Angelos @@aut@@ |
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Methods In this study, the Abbott RealTime HIV-1 (Abbott RealTime) assay was compared to the Roche Cobas TaqMan HIV-1 (Cobas TaqMan) and the Siemens Versant HIV-1 RNA 3.0 (bDNA 3.0) assays, using clinical samples of various viral load levels and subtypes from Greece, where the recent epidemiology of HIV-1 infection has been characterized by increasing genetic diversity and a marked increase in subtype A genetic strains among newly diagnosed infections. Results A high correlation was observed between the quantitative results obtained by the Abbott RealTime and the Cobas TaqMan assays. Viral load values quantified by the Abbott RealTime were on average lower than those obtained by the Cobas TaqMan, with a mean (SD) difference of -0.206 (0.298) $ log_{10} $ copies/ml. The mean differences according to HIV-1 subtypes between the two techniques for samples of subtype A, B, and non-A/non-B were 0.089, -0.262, and -0.298 $ log_{10} $ copies/ml, respectively. 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Katsoulidou, Antigoni |
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Comparative evaluation of the performance of the Abbott RealTime HIV-1 assay for measurement of HIV-1 plasma viral load on genetically diverse samples from Greece Viral Load (dpeaa)DE-He213 Detectable Viral Load (dpeaa)DE-He213 Viral Load Measurement (dpeaa)DE-He213 Viral Load Level (dpeaa)DE-He213 Cobas TaqMan (dpeaa)DE-He213 |
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Comparative evaluation of the performance of the Abbott RealTime HIV-1 assay for measurement of HIV-1 plasma viral load on genetically diverse samples from Greece |
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Comparative evaluation of the performance of the Abbott RealTime HIV-1 assay for measurement of HIV-1 plasma viral load on genetically diverse samples from Greece |
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Katsoulidou, Antigoni Rokka, Chrysoula Issaris, Catherine Haida, Catherine Tzannis, Kimon Sypsa, Vana Detsika, Maria Paraskevis, Dimitrios Hatzakis, Angelos |
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comparative evaluation of the performance of the abbott realtime hiv-1 assay for measurement of hiv-1 plasma viral load on genetically diverse samples from greece |
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Comparative evaluation of the performance of the Abbott RealTime HIV-1 assay for measurement of HIV-1 plasma viral load on genetically diverse samples from Greece |
| abstract |
Background HIV-1 is characterized by increased genetic heterogeneity which tends to hinder the reliability of detection and accuracy of HIV-1 RNA quantitation assays. Methods In this study, the Abbott RealTime HIV-1 (Abbott RealTime) assay was compared to the Roche Cobas TaqMan HIV-1 (Cobas TaqMan) and the Siemens Versant HIV-1 RNA 3.0 (bDNA 3.0) assays, using clinical samples of various viral load levels and subtypes from Greece, where the recent epidemiology of HIV-1 infection has been characterized by increasing genetic diversity and a marked increase in subtype A genetic strains among newly diagnosed infections. Results A high correlation was observed between the quantitative results obtained by the Abbott RealTime and the Cobas TaqMan assays. Viral load values quantified by the Abbott RealTime were on average lower than those obtained by the Cobas TaqMan, with a mean (SD) difference of -0.206 (0.298) $ log_{10} $ copies/ml. The mean differences according to HIV-1 subtypes between the two techniques for samples of subtype A, B, and non-A/non-B were 0.089, -0.262, and -0.298 $ log_{10} $ copies/ml, respectively. Overall, differences were less than 0.5 $ log_{10} $ for 85% of the samples, and >1 $ log_{10} $ in only one subtype B sample. Similarly, Abbott RealTime and bDNA 3.0 assays yielded a very good correlation of quantitative results, whereas viral load values assessed by the Abbott RealTime were on average higher (mean (SD) difference: 0.160 (0.287) $ log_{10} $ copies/ml). The mean differences according to HIV-1 subtypes between the two techniques for subtype A, B and non-A/non-B samples were 0.438, 0.105 and 0.191 $ log_{10} $ copies/ml, respectively. Overall, the majority of samples (86%) differed by less than 0.5 $ log_{10} $, while none of the samples showed a deviation of more than 1.0 $ log_{10} $. Conclusions In an area of changing HIV-1 subtype pattern, the Abbott RealTime assay showed a high correlation and good agreement of results when compared both to the Cobas TaqMan and bDNA 3.0 assays, for all HIV-1 subtypes tested. All three assays could determine viral load from samples of different HIV-1 subtypes adequately. However, assay variation should be taken into account when viral load monitoring of the same individual is assessed by different systems. © Katsoulidou et al; licensee BioMed Central Ltd. 2011 |
| abstractGer |
Background HIV-1 is characterized by increased genetic heterogeneity which tends to hinder the reliability of detection and accuracy of HIV-1 RNA quantitation assays. Methods In this study, the Abbott RealTime HIV-1 (Abbott RealTime) assay was compared to the Roche Cobas TaqMan HIV-1 (Cobas TaqMan) and the Siemens Versant HIV-1 RNA 3.0 (bDNA 3.0) assays, using clinical samples of various viral load levels and subtypes from Greece, where the recent epidemiology of HIV-1 infection has been characterized by increasing genetic diversity and a marked increase in subtype A genetic strains among newly diagnosed infections. Results A high correlation was observed between the quantitative results obtained by the Abbott RealTime and the Cobas TaqMan assays. Viral load values quantified by the Abbott RealTime were on average lower than those obtained by the Cobas TaqMan, with a mean (SD) difference of -0.206 (0.298) $ log_{10} $ copies/ml. The mean differences according to HIV-1 subtypes between the two techniques for samples of subtype A, B, and non-A/non-B were 0.089, -0.262, and -0.298 $ log_{10} $ copies/ml, respectively. Overall, differences were less than 0.5 $ log_{10} $ for 85% of the samples, and >1 $ log_{10} $ in only one subtype B sample. Similarly, Abbott RealTime and bDNA 3.0 assays yielded a very good correlation of quantitative results, whereas viral load values assessed by the Abbott RealTime were on average higher (mean (SD) difference: 0.160 (0.287) $ log_{10} $ copies/ml). The mean differences according to HIV-1 subtypes between the two techniques for subtype A, B and non-A/non-B samples were 0.438, 0.105 and 0.191 $ log_{10} $ copies/ml, respectively. Overall, the majority of samples (86%) differed by less than 0.5 $ log_{10} $, while none of the samples showed a deviation of more than 1.0 $ log_{10} $. Conclusions In an area of changing HIV-1 subtype pattern, the Abbott RealTime assay showed a high correlation and good agreement of results when compared both to the Cobas TaqMan and bDNA 3.0 assays, for all HIV-1 subtypes tested. All three assays could determine viral load from samples of different HIV-1 subtypes adequately. However, assay variation should be taken into account when viral load monitoring of the same individual is assessed by different systems. © Katsoulidou et al; licensee BioMed Central Ltd. 2011 |
| abstract_unstemmed |
Background HIV-1 is characterized by increased genetic heterogeneity which tends to hinder the reliability of detection and accuracy of HIV-1 RNA quantitation assays. Methods In this study, the Abbott RealTime HIV-1 (Abbott RealTime) assay was compared to the Roche Cobas TaqMan HIV-1 (Cobas TaqMan) and the Siemens Versant HIV-1 RNA 3.0 (bDNA 3.0) assays, using clinical samples of various viral load levels and subtypes from Greece, where the recent epidemiology of HIV-1 infection has been characterized by increasing genetic diversity and a marked increase in subtype A genetic strains among newly diagnosed infections. Results A high correlation was observed between the quantitative results obtained by the Abbott RealTime and the Cobas TaqMan assays. Viral load values quantified by the Abbott RealTime were on average lower than those obtained by the Cobas TaqMan, with a mean (SD) difference of -0.206 (0.298) $ log_{10} $ copies/ml. The mean differences according to HIV-1 subtypes between the two techniques for samples of subtype A, B, and non-A/non-B were 0.089, -0.262, and -0.298 $ log_{10} $ copies/ml, respectively. Overall, differences were less than 0.5 $ log_{10} $ for 85% of the samples, and >1 $ log_{10} $ in only one subtype B sample. Similarly, Abbott RealTime and bDNA 3.0 assays yielded a very good correlation of quantitative results, whereas viral load values assessed by the Abbott RealTime were on average higher (mean (SD) difference: 0.160 (0.287) $ log_{10} $ copies/ml). The mean differences according to HIV-1 subtypes between the two techniques for subtype A, B and non-A/non-B samples were 0.438, 0.105 and 0.191 $ log_{10} $ copies/ml, respectively. Overall, the majority of samples (86%) differed by less than 0.5 $ log_{10} $, while none of the samples showed a deviation of more than 1.0 $ log_{10} $. Conclusions In an area of changing HIV-1 subtype pattern, the Abbott RealTime assay showed a high correlation and good agreement of results when compared both to the Cobas TaqMan and bDNA 3.0 assays, for all HIV-1 subtypes tested. All three assays could determine viral load from samples of different HIV-1 subtypes adequately. However, assay variation should be taken into account when viral load monitoring of the same individual is assessed by different systems. © Katsoulidou et al; licensee BioMed Central Ltd. 2011 |
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Overall, differences were less than 0.5 $ log_{10} $ for 85% of the samples, and >1 $ log_{10} $ in only one subtype B sample. Similarly, Abbott RealTime and bDNA 3.0 assays yielded a very good correlation of quantitative results, whereas viral load values assessed by the Abbott RealTime were on average higher (mean (SD) difference: 0.160 (0.287) $ log_{10} $ copies/ml). The mean differences according to HIV-1 subtypes between the two techniques for subtype A, B and non-A/non-B samples were 0.438, 0.105 and 0.191 $ log_{10} $ copies/ml, respectively. Overall, the majority of samples (86%) differed by less than 0.5 $ log_{10} $, while none of the samples showed a deviation of more than 1.0 $ log_{10} $. Conclusions In an area of changing HIV-1 subtype pattern, the Abbott RealTime assay showed a high correlation and good agreement of results when compared both to the Cobas TaqMan and bDNA 3.0 assays, for all HIV-1 subtypes tested. All three assays could determine viral load from samples of different HIV-1 subtypes adequately. 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