Concordance of LDL-C Estimating Equations with Direct Enzymatic Measurement in Diabetic and Prediabetic Subjects

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dc.authoridCicero, Arrigo Francesco Giuseppe/0000-0002-4367-3884
dc.authoridYerlitas, Serra Ilayda/0000-0003-2830-3006
dc.authoridDOGAN, Kubra/0000-0002-9448-3407
dc.authoridbolat, serkan/0000-0002-8669-8782
dc.authoridKochan, Necla/0000-0003-2355-4826
dc.contributor.authorBolat, Serkan
dc.contributor.authorZararsiz, Gozde Erturk
dc.contributor.authorDogan, Kuebra
dc.contributor.authorKochan, Necla
dc.contributor.authorYerlitas, Serra I.
dc.contributor.authorCephe, Ahu
dc.contributor.authorZararsiz, Gokmen
dc.date.accessioned2024-10-26T18:11:17Z
dc.date.available2024-10-26T18:11:17Z
dc.date.issued2023
dc.departmentSivas Cumhuriyet Üniversitesi
dc.description.abstractLow-density lipoprotein cholesterol (LDL-C) is a well-established biomarker in the management of dyslipidemia. Therefore, we aimed to evaluate the concordance of LDL-C-estimating equations with direct enzymatic measurement in diabetic and prediabetic populations. The data of 31,031 subjects included in the study were divided into prediabetic, diabetic, and control groups according to HbA1c values. LDL-C was measured by direct homogenous enzymatic assay and calculated by Martin-Hopkins, Martin-Hopkins extended, Friedewald, and Sampson equations. The concordance statistics between the direct measurements and estimations obtained by the equations were evaluated. All equations evaluated in the study had lower concordance with direct enzymatic measurement in diabetic and prediabetic groups compared to the non-diabetic group. Even so, the Martin-Hopkins extended approach demonstrated the highest concordance statistic in diabetic and prediabetic patients. Further, Martin-Hopkins extended was found to have the highest correlation with direct measurement compared with other equations. Over the 190 mg/dL LDL-C concentrations, the equation with the highest concordance was again Martin-Hopkins extended. In most scenarios, the Martin-Hopkins extended performed best in prediabetic and diabetic groups. Additionally, direct assay methods can be used at low values of the non-HDL-C/TG ratio (<2.4), as the performance of the equations in LDL-C estimation decreases as non-HDL-C/TG decreases.
dc.identifier.doi10.3390/jcm12103570
dc.identifier.issn2077-0383
dc.identifier.issue10
dc.identifier.pmid37240676
dc.identifier.scopus2-s2.0-85160556174
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.3390/jcm12103570
dc.identifier.urihttps://hdl.handle.net/20.500.12418/30592
dc.identifier.volume12
dc.identifier.wosWOS:000997315800001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherMdpi
dc.relation.ispartofJournal of Clinical Medicine
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectdiabetes
dc.subjectprediabetes
dc.subjectdyslipidemia
dc.subjectLDL-C
dc.subjectLDL-C estimating equations
dc.titleConcordance of LDL-C Estimating Equations with Direct Enzymatic Measurement in Diabetic and Prediabetic Subjects
dc.typeArticle

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