Simple jQuery Dropdowns
Please use this identifier to cite or link to this item: http://repository.li.mahidol.ac.th/dspace/handle/123456789/2085
Full metadata record
DC FieldValueLanguage
dc.contributor.authorPrabhop Dansethakulen_US
dc.contributor.authorLalin Thapanathamchaien_US
dc.contributor.authorSarawut Saichanmaen_US
dc.contributor.authorPhannee Pidetchaen_US
dc.contributor.authorApilak Worachartcheewanen_US
dc.contributor.otherExcellence Service Center For Medical Technology and Quality Improvementen_US
dc.contributor.otherCenter of Medical Laboratory Servicesen_US
dc.contributor.otherDepartment of Clinical Chemistryen_US
dc.date.accessioned2015-04-17T04:51:15Z-
dc.date.accessioned2017-06-20T16:08:14Z-
dc.date.available2015-04-17T04:51:15Z-
dc.date.available2017-06-20T16:08:14Z-
dc.date.issued2015-01-26-
dc.identifier.citationEXCLI Journal. Vol.14, 2015, 478-483en_US
dc.identifier.urihttp://repository.li.mahidol.ac.th/dspace/handle/123456789/2085-
dc.description.abstractLow-density lipoprotein cholesterol (LDL-C) is a risk factor of coronary heart diseases. The estimation of LDL- C (LDL-Cal) level was performed using Friedewald’s equation for triglyceride (TG) level less than 400 mg/dL. Therefore, the aim of this study is to generate a new formula for LDL-Cal and validate the correlation coefficient between LDL-Cal and LDL-C directly measured (LDL-Direct). A data set of 1786 individuals receiving annual medical check-ups from the Faculty of Medical Technology, Mahidol University, Thailand in 2008 was used in this study. Lipid profiles including total cholesterol (TC), TG, high-density lipoprotein cholesterol (HDL-C) and LDL-C were determined using Roche/Hitachi modular system analyzer. The estimated LDL-C was obtained us- ing Friedewald’s equation and the homogenous enzymatic method. The level of TG was divided into 6 groups (TG<200, <300, <400, <500, <600 and < 1000 mg/dL) for constructing the LDL-Cal formula. The pace regres- sion model was used to construct the candidate formula for the LDL-Cal and determine the correlation coeffi- cient (r) with the LDL-Direct. The candidate LDL-Cal formula was generated for 6 groups of TG levels that dis- played well correlation between LDL-Cal and LDL-Direct. Interestingly, The TG level was less than 1000 mg/dL, the regression model was able to generate the equation as shown as strong r of 0.9769 with LDL-Direct. Furthermore, external data set (n = 666) with TG measurement (36-1480 mg/dL) was used to validate new for- mula which displayed high r of 0.971 between LDL-Cal and LDL-direct. This study explored a new formula for LDL-Cal which exhibited higher r of 0.9769 and far beyond the limitation of TG more than 1000 mg/dL and po- tential used for estimating LDL-C in routine clinical laboratories.en_US
dc.language.isoenen_US
dc.subjectcholesterolen_US
dc.subjectdata miningen_US
dc.subjectFriedewald formulaen_US
dc.subjectpace regressionen_US
dc.subjectLDL-Cen_US
dc.subjectLDL-Directen_US
dc.subjectLDL-Calen_US
dc.subjectOpen Access articleen_US
dc.titleDetermining a new formula for calculating low-density lipoprotein cholesterol:data mining approachen_US
dc.typeArticleen_US
dc.rights.holderEXCLI Journalen_US
dc.identifier.urlhttp://www.excli.de/vol14/Pidetcha_26032015_proof.pdf-
Appears in Collections:MT-Article

Files in This Item:
File Description SizeFormat 
mt-ar- prabhop-2015.pdf178.04 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.