Diabetes risk assessment in adult population without diabetes employing continuous glucose monitoring: A novel approach

dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Psiquiatría, Radioloxía, Saúde Pública, Enfermaría e Medicina
dc.contributor.authorPazos Couselo, Marcos
dc.contributor.authorLado Baleato, Óscar
dc.contributor.authorIzquierdo, Verónica
dc.contributor.authorMoreno Fernández, Jesús
dc.contributor.authorAlonso Sampedro, Manuela
dc.contributor.authorFernández Merino, Carmen
dc.contributor.authorGude Sampedro, Francisco
dc.date.accessioned2026-01-09T09:57:55Z
dc.date.available2026-01-09T09:57:55Z
dc.date.issued2025-05
dc.description.abstractAims Time above range obtained through continuous glucose monitoring (CGM) is a useful marker for identifying individuals at higher risk of developing diabetes. We aimed to determine the optimal cutoff for the percentage of time glucose exceeds a threshold to predict diabetes onset. Methods Prospective observational study involving CGM in individuals without diabetes. Individuals who completed CGM and were not diagnosed with diabetes at baseline were followed for a median of 10.8 years. Results Among 513 individuals (median age: 46; range: 18–82), 42 developed diabetes during follow-up. Individuals who developed diabetes were older (median age [IQR]: 53 [45–63] vs. 45 [35–57] years; p < 0.001) and had a higher BMI (32.2 [28.9–35.2] vs. 26.8 [23.8–30.3] kg/m2; p < 0.001) compared to those who did not. The most significant differences between those who developed diabetes and those who did not were observed when we set a cutoff of ≥ 130 mg/dL for at least 10 % of monitoring time. Conclusions CGM provides highly useful information for predicting type 2 diabetes. In healthy individuals, exhibiting glucose levels at or above 130 mg/dL for over 10 % of the time over at least two monitoring days show a higher risk of developing type 2 diabetes.
dc.description.peerreviewedSI
dc.description.sponsorshipThis study has been funded by Instituto de Salud Carlos III (ISCIII) through the project PI20/01069 and co-funded by the European Union; and the Network for Research on Chronicity, Primary Care, and Health Promotion, Instituto de Salud Carlos III (ISCIII), RD24/0005/0010, co-funded by the European Union. The Galician Innovation Agency-Competitive Benchmark Groups (GAIN-GRC/IN607A/2021/02/Xunta de Galicia) supported MA-S. This project was funded by the European Union (Programme for Research and Innovation, 2021-2027; Horizon Europe, EIC Pathfinder: 101161509-GLUCOTYPES). OL-B was granted by ISCIII Support Platforms for Clinical Research (PT23/00118/Co-funded by European Union).
dc.identifier.citationDiabetes Research and Clinical Practice Volume 226, August 2025, 112286
dc.identifier.doi10.1016/j.diabres.2025.112286
dc.identifier.essn1872-8227
dc.identifier.urihttps://hdl.handle.net/10347/44968
dc.journal.titleDiabetes Research and Clinical Practice
dc.language.isoeng
dc.publisherElsevier
dc.relation.projectIDinfo:eu-repo/grantAgreement/ISCIII/Programa Estatal de Generación de Conocimiento y Fortalecimiento del Sistema Español de I+D+I/PI20%2F01069/ES/IDENTIFICACION Y VALIDACION DE BIOMARCADORES PARA LA DETECCION DE INDIVIDUOS CON ALTO RIESGO DE DESARROLLAR DIABETES TIPO 2 (AEGIS-BIO)
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/HE/101161509/EU/
dc.relation.publisherversionhttps://doi.org/10.1016/j.diabres.2025.112286
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectContinuous glucose monitoring (CGM)
dc.subjectPrediction and prevention
dc.subjectIncidence
dc.subjectHealth care
dc.subjectType 2 diabetes
dc.titleDiabetes risk assessment in adult population without diabetes employing continuous glucose monitoring: A novel approach
dc.typejournal article
dc.type.hasVersionAM
dspace.entity.typePublication
relation.isAuthorOfPublication5e02c1f9-f852-484c-a325-18c6d56ee45e
relation.isAuthorOfPublication61ef7bd7-5fc0-4694-82ef-d102c16b2204
relation.isAuthorOfPublication.latestForDiscovery5e02c1f9-f852-484c-a325-18c6d56ee45e

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