Comparison of reference intervals derived by direct and indirect methods based on compatible datasets obtained in Turkey

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dc.authorid0000-0003-0532-789Xen_US
dc.authorscopusid35741320500en_US
dc.authorwosidAAL-8873-2021en_US
dc.contributor.authorÖzarda, Yeşim
dc.contributor.authorIchihara, Kiyoshi
dc.contributor.authorJones, Graham
dc.contributor.authorStreichert, Thomas
dc.contributor.authorAhmadian, Robab
dc.date.accessioned2021-12-21T11:20:38Z
dc.date.available2021-12-21T11:20:38Z
dc.date.issued2021en_US
dc.departmentFakülteler, Tıp Fakültesi, Temel Tıp Bilimleri Bölümü, Tıbbi Biyokimya Ana Bilim Dalıen_US
dc.description.abstractBackground: Indirect derivation of reference intervals (RIs) from the laboratory information system (LIS) has been recently pursued. We aimed at evaluating the accuracy of indirectly predicted RIs compared to the RIs established directly from healthy subjects in the nationwide RI study in Turkey, targeting 25 major chemistry analytes. Methods: LIS data were retrieved from the laboratory that performed measurements for the direct study. They were cleaned by limiting to outpatients with age 18-65 years, and by allowing only one record per year per patient. Evaluated were four indirect methods of univariate approach: Hoffmann, Bhattacharya, Arzideh, and Wosniok methods. Power transformation of the LIS dataset was performed either using the power (lambda) reported by the IFCC global RI study (the first two methods) or using a lambda predicted (the last two). Results: Compared to the direct study dataset, the LIS dataset showed a variable degree of alterations in peak location and shape. Consequently, lower-side peak-shifts observed in sodium, albumin, etc. led to lowered RI limits, whereas higher-side peak-shift observed in triglyceride, low-density lipoprotein cholesterol, etc. led to raised RI limits. Overall, 72% (62-81) of the RI limits predicted by indirect methods showed significant biases from direct RIs. However, the biases observed in total cholesterol, lactic dehydrogenase, etc. were attributed to a higher-side age-bias in LIS dataset. After excluding them, the overall proportion of biased RIs was reduced to 47% (38-54). Conclusion: To reduce prediction biases that remained after age adjustment, it is necessary to apply more rigorous data-cleaning before applying indirect methods.en_US
dc.identifier.citationÖzarda, Y., Ichihara, K., Jones, G., Streichert, T., & Ahmadian, R. (2021). Comparison of reference intervals derived by direct and indirect methods based on compatible datasets obtained in Turkey. Clinica Chimica Acta, 520, pp. 186-195. https://doi.org/10.1016/j.cca.2021.05.030en_US
dc.identifier.doi10.1016/j.cca.2021.05.030en_US
dc.identifier.endpage195en_US
dc.identifier.pmidPMID: 34081933en_US
dc.identifier.scopus2-s2.0-85108113668en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage186en_US
dc.identifier.urihttps://doi.org/10.1016/j.cca.2021.05.030
dc.identifier.urihttps://hdl.handle.net/20.500.13055/99
dc.identifier.volume520en_US
dc.identifier.wosWOS:000674397400013en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.indekslendigikaynak.otherSCI-E - Science Citation Index Expandeden_US
dc.institutionauthorÖzarda, Yeşim
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofClinica Chimica Actaen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectLaboratory Information System (LIS)en_US
dc.subjectPower Transformationen_US
dc.subjectParametric Methoden_US
dc.subjectHoffmann Methoden_US
dc.subjectBhattacharya Methoden_US
dc.subjectArzideh Methoden_US
dc.subjectWosniok Methoden_US
dc.subjectLatent Abnormal Values Exclusion (Lave)en_US
dc.titleComparison of reference intervals derived by direct and indirect methods based on compatible datasets obtained in Turkeyen_US
dc.typeArticleen_US
dspace.entity.typePublication

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