Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/18054
DC FieldValueLanguage
dc.contributor.authorTzortzopoulos, Athanasios-
dc.contributor.authorRaftopoulos, Vasilios-
dc.contributor.authorTalias, Michael A.-
dc.date.accessioned2020-03-12T08:17:48Z-
dc.date.available2020-03-12T08:17:48Z-
dc.date.issued2020-01-02-
dc.identifier.citationScandinavian Journal of Clinical and Laboratory Investigation, 2020, vol. 80, no. 1, pp. 46-54en_US
dc.identifier.issn15027686-
dc.description.abstractBackground: Clinical laboratories provide essential diagnostic services that are essential in clinical decision making, contributing to the quality of healthcare. The performance of two Siemens ADVIA 1800 analyzers was characterized in a hospital Biochemistry laboratory in order to evaluate the analytical characteristics of such automated analyzer systems using nonoriginal assay reagents attempting to support laboratory quality service and crucial clinical decision making. Methods: We independently completed performance validation studies including trueness, precision, sensitivity as well as measurement of uncertainty and sigma metrics calculation for 25 biochemical parameters. Results: Trueness expressed as bias was less than 20% for both ADVIA 1800 analyzers. Within run and total precisions expressed as CV% were ≤9.85% on both analyzers for most parameters studied with few exceptions (Mg, TB, DB, Cl, HDL and UA) observed either in low or in high level samples and between the two analyzers. LoB, LoD and LoQ values produced by the two analyzers were comparable except Cl. Uncertainty values produced by the two analyzers were comparable with no significant differences. Quality performance of reagent assays was studied using the sigma metrics system. The sigma values were plotted on normalized method decision charts for graphical representation of assay performances for each analyzer. Conclusions: The two ADVIA systems, independently evaluated, showed consistent performance characteristics with certain discrepancies by several reagents. Sigma analysis was helpful for revealing the quality performance of non-original reagents supporting the need for strict assessment of quality assurance and in some instances optimization/improvement of assay methods.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.relation.ispartofScandinavian Journal of Clinical and Laboratory Investigationen_US
dc.rights© Medisinsk Fysiologisk Forenings Forlag (MFFF)en_US
dc.subjectClinical chemistryen_US
dc.subjectClinical decisionen_US
dc.subjectEvaluationen_US
dc.subjectSigma metricsen_US
dc.subjectUncertaintyen_US
dc.subjectValidation studiesen_US
dc.titlePerformance characteristics of automated clinical chemistry analyzers using commercial assay reagents contributing to quality assurance and clinical decision in a hospital laboratoryen_US
dc.typeArticleen_US
dc.collaborationCyprus University of Technologyen_US
dc.collaborationGeneral Hospital of Agrinioen_US
dc.collaborationAghia Sophia Children's Hospitalen_US
dc.collaborationOpen University Cyprusen_US
dc.subject.categoryClinical Medicineen_US
dc.journalsSubscriptionen_US
dc.countryCyprusen_US
dc.countryGreeceen_US
dc.subject.fieldMedical and Health Sciencesen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.1080/00365513.2019.1695282en_US
dc.identifier.pmid31766906-
dc.identifier.scopus2-s2.0-85075429596-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85075429596-
dc.relation.issue1en_US
dc.relation.volume80en_US
cut.common.academicyear2019-2020en_US
dc.identifier.spage46en_US
dc.identifier.epage54en_US
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.fulltextNo Fulltext-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairetypearticle-
crisitem.journal.journalissn1502-7686-
crisitem.journal.publisherTaylor & Francis-
crisitem.author.deptDepartment of Nursing-
crisitem.author.facultyFaculty of Health Sciences-
crisitem.author.orcid0000-0003-1042-642X-
crisitem.author.parentorgFaculty of Health Sciences-
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