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Performance evaluation of the automated nucleated red blood cell count of five commercial hematological analyzers
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| Zeitschriftentitel: | International Journal of Laboratory Hematology |
|---|---|
| Personen und Körperschaften: | , , , , , , , , , , , , , , , , , , , , , |
| In: | International Journal of Laboratory Hematology, 39, 2017, 6, S. 663-670 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
Wiley
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| Schlagwörter: |
| author_facet |
Da Rin, G. Vidali, M. Balboni, F. Benegiamo, A. Borin, M. Ciardelli, M. L. Dima, F. Di Fabio, A. Fanelli, A. Fiorini, F. Francione, S. Germagnoli, L. Gioia, M. Lari, T. Lorubbio, M. Marini, A. Papa, A. Seghezzi, M. Solarino, L. Pipitone, S. Tilocca, E. Buoro, S. Da Rin, G. Vidali, M. Balboni, F. Benegiamo, A. Borin, M. Ciardelli, M. L. Dima, F. Di Fabio, A. Fanelli, A. Fiorini, F. Francione, S. Germagnoli, L. Gioia, M. Lari, T. Lorubbio, M. Marini, A. Papa, A. Seghezzi, M. Solarino, L. Pipitone, S. Tilocca, E. Buoro, S. |
|---|---|
| author |
Da Rin, G. Vidali, M. Balboni, F. Benegiamo, A. Borin, M. Ciardelli, M. L. Dima, F. Di Fabio, A. Fanelli, A. Fiorini, F. Francione, S. Germagnoli, L. Gioia, M. Lari, T. Lorubbio, M. Marini, A. Papa, A. Seghezzi, M. Solarino, L. Pipitone, S. Tilocca, E. Buoro, S. |
| spellingShingle |
Da Rin, G. Vidali, M. Balboni, F. Benegiamo, A. Borin, M. Ciardelli, M. L. Dima, F. Di Fabio, A. Fanelli, A. Fiorini, F. Francione, S. Germagnoli, L. Gioia, M. Lari, T. Lorubbio, M. Marini, A. Papa, A. Seghezzi, M. Solarino, L. Pipitone, S. Tilocca, E. Buoro, S. International Journal of Laboratory Hematology Performance evaluation of the automated nucleated red blood cell count of five commercial hematological analyzers Biochemistry (medical) Clinical Biochemistry Hematology General Medicine |
| author_sort |
da rin, g. |
| spelling |
Da Rin, G. Vidali, M. Balboni, F. Benegiamo, A. Borin, M. Ciardelli, M. L. Dima, F. Di Fabio, A. Fanelli, A. Fiorini, F. Francione, S. Germagnoli, L. Gioia, M. Lari, T. Lorubbio, M. Marini, A. Papa, A. Seghezzi, M. Solarino, L. Pipitone, S. Tilocca, E. Buoro, S. 1751-5521 1751-553X Wiley Biochemistry (medical) Clinical Biochemistry Hematology General Medicine http://dx.doi.org/10.1111/ijlh.12722 <jats:title>Abstract</jats:title><jats:sec><jats:title>Introduction</jats:title><jats:p>Recent automated hematology analyzers (<jats:styled-content style="fixed-case">HA</jats:styled-content>s) can identify and report nucleated red blood cells (<jats:styled-content style="fixed-case">NRBC</jats:styled-content>) count as a separate population out of white blood cells (<jats:styled-content style="fixed-case">WBC</jats:styled-content>). The aim of this study was to investigate the analytical performances of <jats:styled-content style="fixed-case">NRBC</jats:styled-content> enumeration on five top of the range <jats:styled-content style="fixed-case">HA</jats:styled-content>s.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>We evaluated the within‐run and between‐day precision, limit of blank (LoB), limit of detection (LoD), and limit of quantitation (LoQ) of <jats:styled-content style="fixed-case">XE</jats:styled-content>‐2100 and <jats:styled-content style="fixed-case">XN</jats:styled-content>‐module (Sysmex), <jats:styled-content style="fixed-case">ADVIA</jats:styled-content> 2120i (Siemens), <jats:styled-content style="fixed-case">BC</jats:styled-content>‐6800 (Mindray), and UniCel DxH 800 (Beckman Coulter). Automated <jats:styled-content style="fixed-case">NRBC</jats:styled-content> counts were also compared with optical microscopy (<jats:styled-content style="fixed-case">OM</jats:styled-content>).</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>The limits of detection for <jats:styled-content style="fixed-case">NRBC</jats:styled-content> of the <jats:styled-content style="fixed-case">BC</jats:styled-content>‐6800, <jats:styled-content style="fixed-case">XN</jats:styled-content>‐module, <jats:styled-content style="fixed-case">XE</jats:styled-content>‐2100, UniCel DxH 800, and <jats:styled-content style="fixed-case">ADVIA</jats:styled-content> 2120i are 0.035×10<jats:sup>9</jats:sup>/L, 0.019×10<jats:sup>9</jats:sup>/L, 0.067×10<jats:sup>9</jats:sup>/L, 0.038×10<jats:sup>9</jats:sup>/L, and 0.167×10<jats:sup>9</jats:sup>/L, respectively. Our data indicated excellent performance in terms of precision. The agreement with <jats:styled-content style="fixed-case">OM</jats:styled-content> was excellent for <jats:styled-content style="fixed-case">BC</jats:styled-content>‐6800, <jats:styled-content style="fixed-case">XN</jats:styled-content>‐module, and <jats:styled-content style="fixed-case">XE</jats:styled-content>‐2100 (Bias 0.023, 0.019, and 0.033×10<jats:sup>9</jats:sup>/L, respectively). <jats:styled-content style="fixed-case">ADVIA</jats:styled-content> 2120i displayed a significant constant error and UniCel DxH 800 both proportional and small constant error.</jats:p></jats:sec><jats:sec><jats:title>Conclusion</jats:title><jats:p>Regards to <jats:styled-content style="fixed-case">NRBC</jats:styled-content> counting, the performances shown by <jats:styled-content style="fixed-case">BC</jats:styled-content>‐6800, <jats:styled-content style="fixed-case">XN</jats:styled-content>‐module, and <jats:styled-content style="fixed-case">XE</jats:styled-content>‐2100 are excellent also a low count, <jats:styled-content style="fixed-case">ADVIA</jats:styled-content> 2120i and UniCel DxH 800 need to be improved.</jats:p></jats:sec> Performance evaluation of the automated nucleated red blood cell count of five commercial hematological analyzers International Journal of Laboratory Hematology |
| doi_str_mv |
10.1111/ijlh.12722 |
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Online |
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Biologie Chemie und Pharmazie Medizin |
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Wiley, 2017 |
| imprint_str_mv |
Wiley, 2017 |
| issn |
1751-5521 1751-553X |
| issn_str_mv |
1751-5521 1751-553X |
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English |
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Wiley (CrossRef) |
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darin2017performanceevaluationoftheautomatednucleatedredbloodcellcountoffivecommercialhematologicalanalyzers |
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2017 |
| publisher |
Wiley |
| recordtype |
ai |
| record_format |
ai |
| series |
International Journal of Laboratory Hematology |
| source_id |
49 |
| title |
Performance evaluation of the automated nucleated red blood cell count of five commercial hematological analyzers |
| title_unstemmed |
Performance evaluation of the automated nucleated red blood cell count of five commercial hematological analyzers |
| title_full |
Performance evaluation of the automated nucleated red blood cell count of five commercial hematological analyzers |
| title_fullStr |
Performance evaluation of the automated nucleated red blood cell count of five commercial hematological analyzers |
| title_full_unstemmed |
Performance evaluation of the automated nucleated red blood cell count of five commercial hematological analyzers |
| title_short |
Performance evaluation of the automated nucleated red blood cell count of five commercial hematological analyzers |
| title_sort |
performance evaluation of the automated nucleated red blood cell count of five commercial hematological analyzers |
| topic |
Biochemistry (medical) Clinical Biochemistry Hematology General Medicine |
| url |
http://dx.doi.org/10.1111/ijlh.12722 |
| publishDate |
2017 |
| physical |
663-670 |
| description |
<jats:title>Abstract</jats:title><jats:sec><jats:title>Introduction</jats:title><jats:p>Recent automated hematology analyzers (<jats:styled-content style="fixed-case">HA</jats:styled-content>s) can identify and report nucleated red blood cells (<jats:styled-content style="fixed-case">NRBC</jats:styled-content>) count as a separate population out of white blood cells (<jats:styled-content style="fixed-case">WBC</jats:styled-content>). The aim of this study was to investigate the analytical performances of <jats:styled-content style="fixed-case">NRBC</jats:styled-content> enumeration on five top of the range <jats:styled-content style="fixed-case">HA</jats:styled-content>s.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>We evaluated the within‐run and between‐day precision, limit of blank (LoB), limit of detection (LoD), and limit of quantitation (LoQ) of <jats:styled-content style="fixed-case">XE</jats:styled-content>‐2100 and <jats:styled-content style="fixed-case">XN</jats:styled-content>‐module (Sysmex), <jats:styled-content style="fixed-case">ADVIA</jats:styled-content> 2120i (Siemens), <jats:styled-content style="fixed-case">BC</jats:styled-content>‐6800 (Mindray), and UniCel DxH 800 (Beckman Coulter). Automated <jats:styled-content style="fixed-case">NRBC</jats:styled-content> counts were also compared with optical microscopy (<jats:styled-content style="fixed-case">OM</jats:styled-content>).</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>The limits of detection for <jats:styled-content style="fixed-case">NRBC</jats:styled-content> of the <jats:styled-content style="fixed-case">BC</jats:styled-content>‐6800, <jats:styled-content style="fixed-case">XN</jats:styled-content>‐module, <jats:styled-content style="fixed-case">XE</jats:styled-content>‐2100, UniCel DxH 800, and <jats:styled-content style="fixed-case">ADVIA</jats:styled-content> 2120i are 0.035×10<jats:sup>9</jats:sup>/L, 0.019×10<jats:sup>9</jats:sup>/L, 0.067×10<jats:sup>9</jats:sup>/L, 0.038×10<jats:sup>9</jats:sup>/L, and 0.167×10<jats:sup>9</jats:sup>/L, respectively. Our data indicated excellent performance in terms of precision. The agreement with <jats:styled-content style="fixed-case">OM</jats:styled-content> was excellent for <jats:styled-content style="fixed-case">BC</jats:styled-content>‐6800, <jats:styled-content style="fixed-case">XN</jats:styled-content>‐module, and <jats:styled-content style="fixed-case">XE</jats:styled-content>‐2100 (Bias 0.023, 0.019, and 0.033×10<jats:sup>9</jats:sup>/L, respectively). <jats:styled-content style="fixed-case">ADVIA</jats:styled-content> 2120i displayed a significant constant error and UniCel DxH 800 both proportional and small constant error.</jats:p></jats:sec><jats:sec><jats:title>Conclusion</jats:title><jats:p>Regards to <jats:styled-content style="fixed-case">NRBC</jats:styled-content> counting, the performances shown by <jats:styled-content style="fixed-case">BC</jats:styled-content>‐6800, <jats:styled-content style="fixed-case">XN</jats:styled-content>‐module, and <jats:styled-content style="fixed-case">XE</jats:styled-content>‐2100 are excellent also a low count, <jats:styled-content style="fixed-case">ADVIA</jats:styled-content> 2120i and UniCel DxH 800 need to be improved.</jats:p></jats:sec> |
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| author | Da Rin, G., Vidali, M., Balboni, F., Benegiamo, A., Borin, M., Ciardelli, M. L., Dima, F., Di Fabio, A., Fanelli, A., Fiorini, F., Francione, S., Germagnoli, L., Gioia, M., Lari, T., Lorubbio, M., Marini, A., Papa, A., Seghezzi, M., Solarino, L., Pipitone, S., Tilocca, E., Buoro, S. |
| author_facet | Da Rin, G., Vidali, M., Balboni, F., Benegiamo, A., Borin, M., Ciardelli, M. L., Dima, F., Di Fabio, A., Fanelli, A., Fiorini, F., Francione, S., Germagnoli, L., Gioia, M., Lari, T., Lorubbio, M., Marini, A., Papa, A., Seghezzi, M., Solarino, L., Pipitone, S., Tilocca, E., Buoro, S., Da Rin, G., Vidali, M., Balboni, F., Benegiamo, A., Borin, M., Ciardelli, M. L., Dima, F., Di Fabio, A., Fanelli, A., Fiorini, F., Francione, S., Germagnoli, L., Gioia, M., Lari, T., Lorubbio, M., Marini, A., Papa, A., Seghezzi, M., Solarino, L., Pipitone, S., Tilocca, E., Buoro, S. |
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| description | <jats:title>Abstract</jats:title><jats:sec><jats:title>Introduction</jats:title><jats:p>Recent automated hematology analyzers (<jats:styled-content style="fixed-case">HA</jats:styled-content>s) can identify and report nucleated red blood cells (<jats:styled-content style="fixed-case">NRBC</jats:styled-content>) count as a separate population out of white blood cells (<jats:styled-content style="fixed-case">WBC</jats:styled-content>). The aim of this study was to investigate the analytical performances of <jats:styled-content style="fixed-case">NRBC</jats:styled-content> enumeration on five top of the range <jats:styled-content style="fixed-case">HA</jats:styled-content>s.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>We evaluated the within‐run and between‐day precision, limit of blank (LoB), limit of detection (LoD), and limit of quantitation (LoQ) of <jats:styled-content style="fixed-case">XE</jats:styled-content>‐2100 and <jats:styled-content style="fixed-case">XN</jats:styled-content>‐module (Sysmex), <jats:styled-content style="fixed-case">ADVIA</jats:styled-content> 2120i (Siemens), <jats:styled-content style="fixed-case">BC</jats:styled-content>‐6800 (Mindray), and UniCel DxH 800 (Beckman Coulter). Automated <jats:styled-content style="fixed-case">NRBC</jats:styled-content> counts were also compared with optical microscopy (<jats:styled-content style="fixed-case">OM</jats:styled-content>).</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>The limits of detection for <jats:styled-content style="fixed-case">NRBC</jats:styled-content> of the <jats:styled-content style="fixed-case">BC</jats:styled-content>‐6800, <jats:styled-content style="fixed-case">XN</jats:styled-content>‐module, <jats:styled-content style="fixed-case">XE</jats:styled-content>‐2100, UniCel DxH 800, and <jats:styled-content style="fixed-case">ADVIA</jats:styled-content> 2120i are 0.035×10<jats:sup>9</jats:sup>/L, 0.019×10<jats:sup>9</jats:sup>/L, 0.067×10<jats:sup>9</jats:sup>/L, 0.038×10<jats:sup>9</jats:sup>/L, and 0.167×10<jats:sup>9</jats:sup>/L, respectively. Our data indicated excellent performance in terms of precision. The agreement with <jats:styled-content style="fixed-case">OM</jats:styled-content> was excellent for <jats:styled-content style="fixed-case">BC</jats:styled-content>‐6800, <jats:styled-content style="fixed-case">XN</jats:styled-content>‐module, and <jats:styled-content style="fixed-case">XE</jats:styled-content>‐2100 (Bias 0.023, 0.019, and 0.033×10<jats:sup>9</jats:sup>/L, respectively). <jats:styled-content style="fixed-case">ADVIA</jats:styled-content> 2120i displayed a significant constant error and UniCel DxH 800 both proportional and small constant error.</jats:p></jats:sec><jats:sec><jats:title>Conclusion</jats:title><jats:p>Regards to <jats:styled-content style="fixed-case">NRBC</jats:styled-content> counting, the performances shown by <jats:styled-content style="fixed-case">BC</jats:styled-content>‐6800, <jats:styled-content style="fixed-case">XN</jats:styled-content>‐module, and <jats:styled-content style="fixed-case">XE</jats:styled-content>‐2100 are excellent also a low count, <jats:styled-content style="fixed-case">ADVIA</jats:styled-content> 2120i and UniCel DxH 800 need to be improved.</jats:p></jats:sec> |
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| series | International Journal of Laboratory Hematology |
| source_id | 49 |
| spelling | Da Rin, G. Vidali, M. Balboni, F. Benegiamo, A. Borin, M. Ciardelli, M. L. Dima, F. Di Fabio, A. Fanelli, A. Fiorini, F. Francione, S. Germagnoli, L. Gioia, M. Lari, T. Lorubbio, M. Marini, A. Papa, A. Seghezzi, M. Solarino, L. Pipitone, S. Tilocca, E. Buoro, S. 1751-5521 1751-553X Wiley Biochemistry (medical) Clinical Biochemistry Hematology General Medicine http://dx.doi.org/10.1111/ijlh.12722 <jats:title>Abstract</jats:title><jats:sec><jats:title>Introduction</jats:title><jats:p>Recent automated hematology analyzers (<jats:styled-content style="fixed-case">HA</jats:styled-content>s) can identify and report nucleated red blood cells (<jats:styled-content style="fixed-case">NRBC</jats:styled-content>) count as a separate population out of white blood cells (<jats:styled-content style="fixed-case">WBC</jats:styled-content>). The aim of this study was to investigate the analytical performances of <jats:styled-content style="fixed-case">NRBC</jats:styled-content> enumeration on five top of the range <jats:styled-content style="fixed-case">HA</jats:styled-content>s.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>We evaluated the within‐run and between‐day precision, limit of blank (LoB), limit of detection (LoD), and limit of quantitation (LoQ) of <jats:styled-content style="fixed-case">XE</jats:styled-content>‐2100 and <jats:styled-content style="fixed-case">XN</jats:styled-content>‐module (Sysmex), <jats:styled-content style="fixed-case">ADVIA</jats:styled-content> 2120i (Siemens), <jats:styled-content style="fixed-case">BC</jats:styled-content>‐6800 (Mindray), and UniCel DxH 800 (Beckman Coulter). Automated <jats:styled-content style="fixed-case">NRBC</jats:styled-content> counts were also compared with optical microscopy (<jats:styled-content style="fixed-case">OM</jats:styled-content>).</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>The limits of detection for <jats:styled-content style="fixed-case">NRBC</jats:styled-content> of the <jats:styled-content style="fixed-case">BC</jats:styled-content>‐6800, <jats:styled-content style="fixed-case">XN</jats:styled-content>‐module, <jats:styled-content style="fixed-case">XE</jats:styled-content>‐2100, UniCel DxH 800, and <jats:styled-content style="fixed-case">ADVIA</jats:styled-content> 2120i are 0.035×10<jats:sup>9</jats:sup>/L, 0.019×10<jats:sup>9</jats:sup>/L, 0.067×10<jats:sup>9</jats:sup>/L, 0.038×10<jats:sup>9</jats:sup>/L, and 0.167×10<jats:sup>9</jats:sup>/L, respectively. Our data indicated excellent performance in terms of precision. The agreement with <jats:styled-content style="fixed-case">OM</jats:styled-content> was excellent for <jats:styled-content style="fixed-case">BC</jats:styled-content>‐6800, <jats:styled-content style="fixed-case">XN</jats:styled-content>‐module, and <jats:styled-content style="fixed-case">XE</jats:styled-content>‐2100 (Bias 0.023, 0.019, and 0.033×10<jats:sup>9</jats:sup>/L, respectively). <jats:styled-content style="fixed-case">ADVIA</jats:styled-content> 2120i displayed a significant constant error and UniCel DxH 800 both proportional and small constant error.</jats:p></jats:sec><jats:sec><jats:title>Conclusion</jats:title><jats:p>Regards to <jats:styled-content style="fixed-case">NRBC</jats:styled-content> counting, the performances shown by <jats:styled-content style="fixed-case">BC</jats:styled-content>‐6800, <jats:styled-content style="fixed-case">XN</jats:styled-content>‐module, and <jats:styled-content style="fixed-case">XE</jats:styled-content>‐2100 are excellent also a low count, <jats:styled-content style="fixed-case">ADVIA</jats:styled-content> 2120i and UniCel DxH 800 need to be improved.</jats:p></jats:sec> Performance evaluation of the automated nucleated red blood cell count of five commercial hematological analyzers International Journal of Laboratory Hematology |
| spellingShingle | Da Rin, G., Vidali, M., Balboni, F., Benegiamo, A., Borin, M., Ciardelli, M. L., Dima, F., Di Fabio, A., Fanelli, A., Fiorini, F., Francione, S., Germagnoli, L., Gioia, M., Lari, T., Lorubbio, M., Marini, A., Papa, A., Seghezzi, M., Solarino, L., Pipitone, S., Tilocca, E., Buoro, S., International Journal of Laboratory Hematology, Performance evaluation of the automated nucleated red blood cell count of five commercial hematological analyzers, Biochemistry (medical), Clinical Biochemistry, Hematology, General Medicine |
| title | Performance evaluation of the automated nucleated red blood cell count of five commercial hematological analyzers |
| title_full | Performance evaluation of the automated nucleated red blood cell count of five commercial hematological analyzers |
| title_fullStr | Performance evaluation of the automated nucleated red blood cell count of five commercial hematological analyzers |
| title_full_unstemmed | Performance evaluation of the automated nucleated red blood cell count of five commercial hematological analyzers |
| title_short | Performance evaluation of the automated nucleated red blood cell count of five commercial hematological analyzers |
| title_sort | performance evaluation of the automated nucleated red blood cell count of five commercial hematological analyzers |
| title_unstemmed | Performance evaluation of the automated nucleated red blood cell count of five commercial hematological analyzers |
| topic | Biochemistry (medical), Clinical Biochemistry, Hematology, General Medicine |
| url | http://dx.doi.org/10.1111/ijlh.12722 |