PMID- 29516622 OWN - NLM STAT- MEDLINE DCOM- 20181127 LR - 20181127 IS - 1520-7560 (Electronic) IS - 1520-7552 (Linking) VI - 34 IP - 5 DP - 2018 Jul TI - New insights from continuous glucose monitoring into the route to diabetes. PG - e3002 LID - 10.1002/dmrr.3002 [doi] AB - AIM: Type 2 diabetes mellitus (T2DM) is preceded by a period of impaired glucoregulation. We investigated if continuous glucose monitoring system (CGMS) (1) could improve our capacity to predict the development of T2DM in subjects at risk. (2) Find out if impaired fasting glucose/impaired glucose tolerance differentiation through CGMS would also elucidate differences in clinical phenotypes. MATERIAL AND METHODS: Observational study of 209 hypertensive patients, aged 18 to 85 years who wore at entry a CGMS. Two CGMS metrics, percent of time under the 100 mg/dL glycaemic threshold (TU100) (impaired fasting glucose surrogate phenotype) and area above the 140 mg/dL glycemic threshold (AO140) (impaired glucose tolerance surrogate phenotype) were measured. The median follow-up was 32 months (6-72 mo), and there were 17 new cases of T2DM. RESULTS: In a multivariate Cox proportional hazard survival analysis including the conventional prediabetes-defining criteria and the 2 CGMS-derived variables, only TU100 and HbA(1c) were significant and independent variables in predicting T2DM development. An increase in 0.1 in TU100 resulted in a 0.69 (95% CI, 0.54-0.88; P < .01) odds ratio of developing T2DM. With cut-off points of 0.5 for TU100 and 5.7% for HbA(1c) , the test "TU < 0.5 and HbA(1c) > 5.7%" had a sensitivity of 0.81 (SD, 0.10), a specificity of 0.83 (SD, 0.03), and a likelihood ratio of 4.82 (SD, 1.03) for T2DM development. CONCLUSIONS: Continuous glucose monitoring system allows for a better T2DM risk-development categorization than fasting glucose and HbA(1c) in a high-risk population. Continuous glucose monitoring system-derived phenotyping reveals clinical differences, not disclosed by conventional fasting plasma glucose/HbA(1c) categorization. These differences may correlate with distinct pathophysiological mechanisms. CI - Copyright (c) 2018 John Wiley & Sons, Ltd. FAU - Colas, Ana AU - Colas A AD - Internal Medicine, Hospital Universitario de Mostoles, Mostoles, Madrid, Spain. FAU - Vigil, Luis AU - Vigil L AUID- ORCID: 0000-0001-7484-2911 AD - Internal Medicine, Hospital Universitario de Mostoles, Mostoles, Madrid, Spain. FAU - Rodriguez de Castro, Carmen AU - Rodriguez de Castro C AD - Internal Medicine, Hospital Universitario de Mostoles, Mostoles, Madrid, Spain. FAU - Vargas, Borja AU - Vargas B AD - Internal Medicine, Hospital Universitario de Mostoles, Mostoles, Madrid, Spain. FAU - Varela, Manuel AU - Varela M AD - Internal Medicine, Hospital Universitario de Mostoles, Mostoles, Madrid, Spain. LA - eng PT - Journal Article PT - Observational Study DEP - 20180410 PL - England TA - Diabetes Metab Res Rev JT - Diabetes/metabolism research and reviews JID - 100883450 RN - 0 (Biomarkers) RN - 0 (Blood Glucose) SB - IM MH - Adolescent MH - Adult MH - Aged MH - Aged, 80 and over MH - Biomarkers/*blood MH - Blood Glucose/*analysis MH - Blood Glucose Self-Monitoring/*methods MH - Diabetes Mellitus, Type 2/blood/*diagnosis/etiology MH - Female MH - Follow-Up Studies MH - Glucose Intolerance/blood/*diagnosis/etiology MH - Humans MH - Hypertension/*complications MH - Male MH - Middle Aged MH - Prediabetic State/blood/*diagnosis/etiology MH - Prognosis MH - Survival Rate MH - Young Adult OTO - NOTNLM OT - continuous glucose monitoring system OT - diabetes risk development OT - impaired fasting glucose OT - impaired glucose tolerance EDAT- 2018/03/09 06:00 MHDA- 2018/11/28 06:00 CRDT- 2018/03/09 06:00 PHST- 2018/01/10 00:00 [received] PHST- 2018/02/19 00:00 [revised] PHST- 2018/02/20 00:00 [accepted] PHST- 2018/03/09 06:00 [pubmed] PHST- 2018/11/28 06:00 [medline] PHST- 2018/03/09 06:00 [entrez] AID - 10.1002/dmrr.3002 [doi] PST - ppublish SO - Diabetes Metab Res Rev. 2018 Jul;34(5):e3002. doi: 10.1002/dmrr.3002. Epub 2018 Apr 10.