Cited 0 times in Scipus Cited Count

Comparison of screening scores for diabetes and prediabetes

DC Field Value Language
dc.contributor.authorPoltavskiy, E-
dc.contributor.authorKim, DJ-
dc.contributor.authorBang, H-
dc.date.accessioned2018-05-04T00:24:18Z-
dc.date.available2018-05-04T00:24:18Z-
dc.date.issued2016-
dc.identifier.issn0168-8227-
dc.identifier.urihttp://repository.ajou.ac.kr/handle/201003/14833-
dc.description.abstractAIMS: There are numerous risk or screening scores for the prediction of type-2 diabetes mellitus (DM). In contrast, few scores are available for preDM. In this paper, we compare the two screening scores from the American Diabetes Association (ADA) and Centers for Disease Control and Prevention (CDC) that can be used for DM as well as preDM. METHODS: Adult participants (N=9391) without known DM from the National Health and Nutrition Examination Surveys 2009-12 were included. We fitted the factors/items in the ADA and CDC scores in logistic regression with the outcomes of undiagnosed DM, preDM, and combination, and assessed the association and discrimination accuracy. We also evaluated the suggested cutpoints that define high risk individuals. We mimicked the original models/settings but also tested various deviations/modifications often encountered in practice. RESULTS: Both scores performed well and robustly, while the ADA score performed somewhat better (e.g., AUC=0.77 for ADA and 0.73-0.74 for CDC for DM: 0.72-0.74 and 0.70-0.71 for preDM). The same predictors and scoring rules seem to be reasonably justified with different cutpoints for DM and preDM, which can make usage easier and consistent. Some factors such as race and HDL/LDL cholesterols may be useful additions to health education. CONCLUSIONS: Current DM education and screening focus on the prevention and management of DM. The ADA and CDC scores could further help when we identify individuals at high risk for preDM, and teach the importance of preDM during which lifestyle intervention can be effective and urgently needed.-
dc.language.isoen-
dc.subject.MESHAdult-
dc.subject.MESHArea Under Curve-
dc.subject.MESHBlood Glucose-
dc.subject.MESHDiabetes Mellitus, Type 2-
dc.subject.MESHFemale-
dc.subject.MESHGlycated Hemoglobin A-
dc.subject.MESHHumans-
dc.subject.MESHLogistic Models-
dc.subject.MESHMale-
dc.subject.MESHMass Screening-
dc.subject.MESHMiddle Aged-
dc.subject.MESHNutrition Surveys-
dc.subject.MESHPrediabetic State-
dc.subject.MESHROC Curve-
dc.subject.MESHRisk Factors-
dc.subject.MESHUnited States-
dc.titleComparison of screening scores for diabetes and prediabetes-
dc.typeArticle-
dc.identifier.pmid27371780-
dc.identifier.urlhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4972666/-
dc.contributor.affiliatedAuthor김, 대중-
dc.type.localJournal Papers-
dc.identifier.doi10.1016/j.diabres.2016.06.022-
dc.citation.titleDiabetes research and clinical practice-
dc.citation.volume118-
dc.citation.date2016-
dc.citation.startPage146-
dc.citation.endPage153-
dc.identifier.bibliographicCitationDiabetes research and clinical practice, 118. : 146-153, 2016-
dc.identifier.eissn1872-8227-
dc.relation.journalidJ001688227-
Appears in Collections:
Journal Papers > School of Medicine / Graduate School of Medicine > Endocrinology & Metabolism
Files in This Item:
27371780.pdfDownload

qrcode

해당 아이템을 이메일로 공유하기 원하시면 인증을 거치시기 바랍니다.

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

Browse