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dc.contributor.authorJones, AG
dc.contributor.authorShields, BM
dc.contributor.authorOram, RA
dc.contributor.authorDabelea, DM
dc.contributor.authorHagopian, WA
dc.contributor.authorLustigova, E
dc.contributor.authorShah, AS
dc.contributor.authorKnupp, J
dc.contributor.authorMottl, AK
dc.contributor.authorD’Agostino, RB
dc.contributor.authorWilliams, A
dc.contributor.authorMarcovina, SM
dc.contributor.authorPihoker, C
dc.contributor.authorDivers, J
dc.contributor.authorRedondo, MJ
dc.date.accessioned2024-01-23T11:30:06Z
dc.date.issued2024-01-22
dc.date.updated2024-01-23T09:10:07Z
dc.description.abstractOBJECTIVE With high prevalence of obesity and overlapping features between diabetes subtypes, accurately classifying youth-onset diabetes can be challenging. We aimed to develop prediction models that, using characteristics available at diabetes diagnosis, can identify youth who will retain endogenous insulin secretion at levels consistent with type 2 diabetes (T2D). RESEARCH DESIGN AND METHODS We studied 2,966 youth with diabetes in the prospective SEARCH for Diabetes in Youth study (diagnosis age ≤19 years) to develop prediction models to identify participants with fasting C-peptide ≥250 pmol/L (≥0.75 ng/mL) after >3 years’ (median 74 months) diabetes duration. Models included clinical measures at the baseline visit, at a mean diabetes duration of 11 months (age, BMI, sex, waist circumference, HDL cholesterol), with and without islet autoantibodies (GADA, IA-2A) and a Type 1 Diabetes Genetic Risk Score (T1DGRS). RESULTS Models using routine clinical measures with or without autoantibodies and T1DGRS were highly accurate in identifying participants with C-peptide ≥0.75 ng/mL (17% of participants; 2.3% and 53% of those with and without positive autoantibodies) (area under the receiver operating characteristic curve [AUCROC] 0.95–0.98). In internal validation, optimism was very low, with excellent calibration (slope 0.995–0.999). Models retained high performance for predicting retained C-peptide in older youth with obesity (AUCROC 0.88–0.96) and in subgroups defined by self-reported race/ethnicity (AUCROC 0.88–0.97), autoantibody status (AUCROC 0.87–0.96), and clinically diagnosed diabetes types (AUCROC 0.81–0.92). CONCLUSIONS Prediction models combining routine clinical measures at diabetes diagnosis, with or without islet autoantibodies or T1DGRS, can accurately identify youth with diabetes who maintain endogenous insulin secretion in the range associated with T2D.en_GB
dc.description.sponsorshipDiabetes UKen_GB
dc.description.sponsorshipNational Institute for Health and Care Research (NIHR)en_GB
dc.identifier.citationPublished online 22 January 2024en_GB
dc.identifier.doihttps://doi.org/10.2337/dc23-1815
dc.identifier.grantnumber21/0006328en_GB
dc.identifier.grantnumber16/0005529)en_GB
dc.identifier.urihttp://hdl.handle.net/10871/135095
dc.identifierORCID: 0000-0002-0883-7599 (Jones, Angus G)
dc.identifierScopusID: 7407101887 (Jones, Angus G)
dc.language.isoenen_GB
dc.publisherAmerican Diabetes Associationen_GB
dc.relation.urlhttps://repository.niddk.nih.gov/studies/search/en_GB
dc.rights© 2024 by the American Diabetes Association. This version is made available under the CC-BY 4.0 license: https://creativecommons.org/licenses/by/4.0/  en_GB
dc.titleClinical Prediction Models Combining Routine Clinical Measures Have High Accuracy in Identifying Youth-Onset Type 2 Diabetes Defined by Maintained Endogenous Insulin Secretion: The SEARCH for Diabetes in Youth Studyen_GB
dc.typeArticleen_GB
dc.date.available2024-01-23T11:30:06Z
dc.identifier.issn0149-5992
dc.descriptionThis is the author accepted manuscript. The final version is available from the American Diabetes Association via the DOI in this recorden_GB
dc.descriptionData Availability: Data from the SEARCH Study is publically available though the NIDDK central repository (https://repository.niddk.nih.gov/studies/search/) with additional data (such as genetic risk scores) available through application to the SEARCH study steering committee.en_GB
dc.identifier.eissn1935-5548
dc.identifier.journalDiabetes Careen_GB
dc.relation.ispartofDiabetes Care
dc.rights.urihttp://www.rioxx.net/licenses/all-rights-reserveden_GB
dcterms.dateAccepted2023-11-21
rioxxterms.versionAMen_GB
rioxxterms.licenseref.startdate2024-01-22
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2024-01-23T11:26:45Z
refterms.versionFCDAM
refterms.dateFOA2024-01-23T11:30:11Z
refterms.panelAen_GB
refterms.dateFirstOnline2024-01-22


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