Within-subject and between-subject biological variation estimates of 21 hematological parameters in 30 healthy subjects
The complete blood count (CBC) is used to evaluate health status in the contexts of various clinical situations such as anemia, infection, inflammation, trauma, malignancies, etc. To ensure safe clinical application of the CBC, reliable biological variation (BV) data are required. The study aim was...
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| Vydáno v: | Clinical chemistry and laboratory medicine Ročník 56; číslo 8; s. 1309 |
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| Hlavní autoři: | , , , , , , , , , , , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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Germany
26.07.2018
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| ISSN: | 1437-4331, 1437-4331 |
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| Abstract | The complete blood count (CBC) is used to evaluate health status in the contexts of various clinical situations such as anemia, infection, inflammation, trauma, malignancies, etc. To ensure safe clinical application of the CBC, reliable biological variation (BV) data are required. The study aim was to define the BVs of CBC parameters employing a strict protocol.
Blood samples, drawn from 30 healthy subjects (17 females, 13 males) once weekly for 10 weeks, were analyzed using a Sysmex XN 3000 instrument. The data were assessed for normality, trends, outliers and variance homogeneity prior to coefficient of variation (CV)-analysis of variance (ANOVA). Sex-stratified within-subject (CVI) and between-subjects (CVG) BV estimates were determined for 21 CBC parameters.
For leukocyte parameters, with the exception of lymphocytes and basophils, significant differences were found between female/male CVI estimates. The mean values of all erythrocyte-, reticulocyte- and platelet parameters differed significantly between the sexes, except for mean corpuscular hemoglobin concentration, mean corpuscular volume and platelet numbers. Most CVI and CVG estimates appear to be lower than those previously published.
Our study, based on a rigorous protocol, provides updated and more stringent BV estimates for CBC parameters. Sex stratification of data is necessary when exploring the significance of changes in consecutive results and when setting analytical performance specifications. |
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| AbstractList | The complete blood count (CBC) is used to evaluate health status in the contexts of various clinical situations such as anemia, infection, inflammation, trauma, malignancies, etc. To ensure safe clinical application of the CBC, reliable biological variation (BV) data are required. The study aim was to define the BVs of CBC parameters employing a strict protocol.
Blood samples, drawn from 30 healthy subjects (17 females, 13 males) once weekly for 10 weeks, were analyzed using a Sysmex XN 3000 instrument. The data were assessed for normality, trends, outliers and variance homogeneity prior to coefficient of variation (CV)-analysis of variance (ANOVA). Sex-stratified within-subject (CVI) and between-subjects (CVG) BV estimates were determined for 21 CBC parameters.
For leukocyte parameters, with the exception of lymphocytes and basophils, significant differences were found between female/male CVI estimates. The mean values of all erythrocyte-, reticulocyte- and platelet parameters differed significantly between the sexes, except for mean corpuscular hemoglobin concentration, mean corpuscular volume and platelet numbers. Most CVI and CVG estimates appear to be lower than those previously published.
Our study, based on a rigorous protocol, provides updated and more stringent BV estimates for CBC parameters. Sex stratification of data is necessary when exploring the significance of changes in consecutive results and when setting analytical performance specifications. The complete blood count (CBC) is used to evaluate health status in the contexts of various clinical situations such as anemia, infection, inflammation, trauma, malignancies, etc. To ensure safe clinical application of the CBC, reliable biological variation (BV) data are required. The study aim was to define the BVs of CBC parameters employing a strict protocol.BACKGROUNDThe complete blood count (CBC) is used to evaluate health status in the contexts of various clinical situations such as anemia, infection, inflammation, trauma, malignancies, etc. To ensure safe clinical application of the CBC, reliable biological variation (BV) data are required. The study aim was to define the BVs of CBC parameters employing a strict protocol.Blood samples, drawn from 30 healthy subjects (17 females, 13 males) once weekly for 10 weeks, were analyzed using a Sysmex XN 3000 instrument. The data were assessed for normality, trends, outliers and variance homogeneity prior to coefficient of variation (CV)-analysis of variance (ANOVA). Sex-stratified within-subject (CVI) and between-subjects (CVG) BV estimates were determined for 21 CBC parameters.METHODSBlood samples, drawn from 30 healthy subjects (17 females, 13 males) once weekly for 10 weeks, were analyzed using a Sysmex XN 3000 instrument. The data were assessed for normality, trends, outliers and variance homogeneity prior to coefficient of variation (CV)-analysis of variance (ANOVA). Sex-stratified within-subject (CVI) and between-subjects (CVG) BV estimates were determined for 21 CBC parameters.For leukocyte parameters, with the exception of lymphocytes and basophils, significant differences were found between female/male CVI estimates. The mean values of all erythrocyte-, reticulocyte- and platelet parameters differed significantly between the sexes, except for mean corpuscular hemoglobin concentration, mean corpuscular volume and platelet numbers. Most CVI and CVG estimates appear to be lower than those previously published.RESULTSFor leukocyte parameters, with the exception of lymphocytes and basophils, significant differences were found between female/male CVI estimates. The mean values of all erythrocyte-, reticulocyte- and platelet parameters differed significantly between the sexes, except for mean corpuscular hemoglobin concentration, mean corpuscular volume and platelet numbers. Most CVI and CVG estimates appear to be lower than those previously published.Our study, based on a rigorous protocol, provides updated and more stringent BV estimates for CBC parameters. Sex stratification of data is necessary when exploring the significance of changes in consecutive results and when setting analytical performance specifications.CONCLUSIONSOur study, based on a rigorous protocol, provides updated and more stringent BV estimates for CBC parameters. Sex stratification of data is necessary when exploring the significance of changes in consecutive results and when setting analytical performance specifications. |
| Author | Kilercik, Meltem Jonker, Niels Carobene, Anna Bartlett, William A Unsal, Ibrahim Serteser, Mustafa Kızıltaş, Cansu Díaz-Garzón, Jorge Coşkun, Abdurrahman Ugur, Esra Aarsand, Aasne K Huet, Sibel Sandberg, Sverre Fernandez-Calle, Pilar Dalgakıran, Ilayda |
| Author_xml | – sequence: 1 givenname: Abdurrahman surname: Coşkun fullname: Coşkun, Abdurrahman organization: Department of Medical Biochemistry, Acibadem Mehmet Ali Aydınlar University, School of Medicine, Atasehir, Istanbul, Turkey – sequence: 2 givenname: Anna surname: Carobene fullname: Carobene, Anna organization: Servizio Medicina di Laboratorio, Ospedale San Raffaele, Milan, Italy – sequence: 3 givenname: Meltem surname: Kilercik fullname: Kilercik, Meltem organization: Department of Medical Biochemistry, Acibadem Mehmet Ali Aydınlar University, School of Medicine, Atasehir, Istanbul, Turkey – sequence: 4 givenname: Mustafa surname: Serteser fullname: Serteser, Mustafa organization: Department of Medical Biochemistry, Acibadem Mehmet Ali Aydınlar University, School of Medicine, Atasehir, Istanbul, Turkey – sequence: 5 givenname: Sverre surname: Sandberg fullname: Sandberg, Sverre organization: Laboratory of Clinical Biochemistry, Haukeland University Hospital, Bergen, Norway – sequence: 6 givenname: Aasne K surname: Aarsand fullname: Aarsand, Aasne K organization: Laboratory of Clinical Biochemistry, Haukeland University Hospital, Bergen, Norway – sequence: 7 givenname: Pilar surname: Fernandez-Calle fullname: Fernandez-Calle, Pilar organization: Quality Analytical Commission of Spanish Society of Clinical Chemistry (SEQC-ML), Madrid, Spain – sequence: 8 givenname: Niels surname: Jonker fullname: Jonker, Niels organization: Certe, Wilhelmina Ziekenhuis Assen, RK Assen, theNetherlands – sequence: 9 givenname: William A surname: Bartlett fullname: Bartlett, William A organization: Blood Sciences, Ninewells Hospital and Medical School, Scotland, UK – sequence: 10 givenname: Jorge surname: Díaz-Garzón fullname: Díaz-Garzón, Jorge organization: Quality Analytical Commission of Spanish Society of Clinical Chemistry (SEQC-ML), Madrid, Spain – sequence: 11 givenname: Sibel surname: Huet fullname: Huet, Sibel organization: Acibadem Mehmet Ali Aydınlar University, School of Medicine, Atasehir, Istanbul, Turkey – sequence: 12 givenname: Cansu surname: Kızıltaş fullname: Kızıltaş, Cansu organization: Acibadem Mehmet Ali Aydınlar University, School of Medicine, Atasehir, Istanbul, Turkey – sequence: 13 givenname: Ilayda surname: Dalgakıran fullname: Dalgakıran, Ilayda organization: Acibadem Mehmet Ali Aydınlar University, School of Medicine, Atasehir, Istanbul, Turkey – sequence: 14 givenname: Esra surname: Ugur fullname: Ugur, Esra organization: Acibadem Mehmet Ali Aydınlar University, School of Health Science, Atasehir, Istanbul, Turkey – sequence: 15 givenname: Ibrahim surname: Unsal fullname: Unsal, Ibrahim organization: Department of Medical Biochemistry, Acibadem Mehmet Ali Aydınlar University, School of Medicine, Atasehir, Istanbul, Turkey |
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