Julie K Sklar, Lisa K Volkening, Liane J Tinsley, Lori M Laffel
{"title":"Continuous Glucose Monitoring Metrics as a Predictor of Acute Complications in Youth with Type 1 Diabetes.","authors":"Julie K Sklar, Lisa K Volkening, Liane J Tinsley, Lori M Laffel","doi":"10.1089/dia.2025.0233","DOIUrl":null,"url":null,"abstract":"<p><p>Continuous glucose monitors (CGMs) offer insight into glycemic control but have not been established as predictors of acute diabetes complications. Using data from 120 youth with type 1 diabetes (ages 8-17) enrolled in a 24-month study, we investigated associations of CGM-derived metrics (time-in-range [TIR] 70-180 mg/dL, time <70, time >180, time >250, mean glucose, glucose coefficient of variation [CV]) with incidence rates of severe hypoglycemia and diabetic ketoacidosis (DKA)/severe hyperglycemia. Over 285 person-years of follow-up, there were 75 events of severe hypoglycemia and 15 events of DKA/severe hyperglycemia. TIR and CV were significantly associated with severe hypoglycemia. Those with <45% TIR had 2.09 times the rate of severe hypoglycemia than those with ≥45% TIR (<i>P</i> = 0.003). Those with CV ≥41% had 2.03 times the rate of severe hypoglycemia than those with CV <41% (<i>P</i> = 0.006). No CGM metrics were significantly associated with DKA/severe hyperglycemia. CGM data could serve as additional predictors for acute complications, particularly severe hypoglycemia.</p>","PeriodicalId":11159,"journal":{"name":"Diabetes technology & therapeutics","volume":" ","pages":""},"PeriodicalIF":5.7000,"publicationDate":"2025-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Diabetes technology & therapeutics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1089/dia.2025.0233","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
引用次数: 0
Abstract
Continuous glucose monitors (CGMs) offer insight into glycemic control but have not been established as predictors of acute diabetes complications. Using data from 120 youth with type 1 diabetes (ages 8-17) enrolled in a 24-month study, we investigated associations of CGM-derived metrics (time-in-range [TIR] 70-180 mg/dL, time <70, time >180, time >250, mean glucose, glucose coefficient of variation [CV]) with incidence rates of severe hypoglycemia and diabetic ketoacidosis (DKA)/severe hyperglycemia. Over 285 person-years of follow-up, there were 75 events of severe hypoglycemia and 15 events of DKA/severe hyperglycemia. TIR and CV were significantly associated with severe hypoglycemia. Those with <45% TIR had 2.09 times the rate of severe hypoglycemia than those with ≥45% TIR (P = 0.003). Those with CV ≥41% had 2.03 times the rate of severe hypoglycemia than those with CV <41% (P = 0.006). No CGM metrics were significantly associated with DKA/severe hyperglycemia. CGM data could serve as additional predictors for acute complications, particularly severe hypoglycemia.
期刊介绍:
Diabetes Technology & Therapeutics is the only peer-reviewed journal providing healthcare professionals with information on new devices, drugs, drug delivery systems, and software for managing patients with diabetes. This leading international journal delivers practical information and comprehensive coverage of cutting-edge technologies and therapeutics in the field, and each issue highlights new pharmacological and device developments to optimize patient care.