Association between continuous glucose monitoring metrics and clinical outcomes in adults with type 1 diabetes in a real-world setting

被引:2
作者
Mcqueen, Robert Brett [1 ]
Perez-Nieves, Magaly [2 ,4 ]
Alonso, G. Todd [3 ]
Fan, Ludi [2 ]
Hankosky, Emily R. [2 ]
Shah, Viral N. [3 ]
Yan, Yuer [2 ]
Ellis, Samuel L. [1 ,3 ]
Juneja, Rattan [2 ]
机构
[1] Univ Colorado Anschutz, Aurora, CO 80045 USA
[2] Eli Lilly & Co, Indianapolis, IN 46285 USA
[3] Univ Colorado, Barbara Davis Ctr Diabet, Anschutz Med Campus, Aurora, CO 80403 USA
[4] Eli Lilly & Co, Lilly Corp Ctr, Indianapolis, IN 46285 USA
关键词
Continuous glucose monitoring; Glycemic variability; Hypoglycemia; Real-world evidence; Time in range; Type; 1; diabetes; HYPOGLYCEMIA; VARIABILITY;
D O I
10.1016/j.diabres.2024.111690
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Aims: Continuous glucose monitoring (CGM) metrics can assist diabetes management. Consensus statements recommend > 70 % time in range (TIR) and <= 36 % glucose coefficient of variation (CV). However, how these targets perform in clinical practice is unknown. This retrospective, longitudinal cohort study analyzed relationships between TIR, CV, glycated hemoglobin (HbA1c), and hypoglycemia in a real-world setting. Methods: Data of 542 adults with type 1 diabetes who used CGM (January 2014-July 2020) were analyzed. Associations between TIR and HbA1c at the same and subsequent visits, incidence rate ratios (IRRs) for hypoglycemia at different CVs, and number of hypoglycemic events at cross-sections of HbA1c and CV were estimated by regression. Results: TIR was inversely related to HbA1c; for every 10 % increase in TIR, HbA1c was significantly reduced by 0.34 % (4 mmol/mol) and 0.20 % (2 mmol/mol) at the same and subsequent visits, respectively. Level 2 hypoglycemia was significantly reduced at CV < 30 %, 30-33 %, 33.1-36 %, and 36.1-40 %: adjusted IRRs vs CV >= 40.1 % of 0.14, 0.28, 0.32, and 0.50, respectively. Hypoglycemic events were reduced at lower CV across HbA1c levels and at higher HbA1c across CV levels. Conclusion: This study quantifies HbA1c improvements with increased TIR and hypoglycemia reductions with improved CV in clinical practice.
引用
收藏
页数:7
相关论文
共 21 条
[11]   Real-Time Continuous Glucose Monitoring Can Predict Severe Hypoglycemia in People with Type 1 Diabetes: Combined Analysis of the HypoDE and DIAMOND Trials [J].
Hermanns, Norbert ;
Ehrmann, Dominic ;
Heinemann, Lutz ;
Freckmann, Guido ;
Waldenmaier, Delia ;
Calhoun, Peter .
DIABETES TECHNOLOGY & THERAPEUTICS, 2022, 24 (09) :603-610
[12]   Glucose Variability: Timing, Risk Analysis, and Relationship to Hypoglycemia in Diabetes [J].
Kovatchev, Boris ;
Cobelli, Claudio .
DIABETES CARE, 2016, 39 (04) :502-510
[13]   Defining High Glycemic Variability in Type 1 Diabetes: Comparison of Multiple Indexes to Identify Patients at Risk of Hypoglycemia [J].
Maria Gomez, Ana ;
Cristina Henao, Diana ;
Imitola Madero, Angelica ;
Taboada, Lucia B. ;
Cruz, Viviana ;
Robledo Gomez, Maria Alejandra ;
Rondon, Martin ;
Munoz-Velandia, Oscar ;
Garcia-Jaramillo, Maira ;
Leon Vargas, Fabian Mauricio .
DIABETES TECHNOLOGY & THERAPEUTICS, 2019, 21 (08) :430-439
[14]   Defining the target value of the coefficient of variation by continuous glucose monitoring in Chinese people with diabetes [J].
Mo, Yifei ;
Ma, Xiaojing ;
Lu, Jingyi ;
Shen, Yun ;
Wang, Yufei ;
Zhang, Lei ;
Lu, Wei ;
Zhu, Wei ;
Bao, Yuqian ;
Zhou, Jian .
JOURNAL OF DIABETES INVESTIGATION, 2021, 12 (06) :1025-1034
[15]   Toward Defining the Threshold Between Low and High Glucose Variability in Diabetes [J].
Monnier, Louis ;
Colette, Claude ;
Wojtusciszyn, Anne ;
Dejager, Sylvie ;
Renard, Eric ;
Molinari, Nicolas ;
Owens, David R. .
DIABETES CARE, 2017, 40 (07) :832-838
[16]   Relationship between glycated haemoglobin levels and mean glucose levels over time [J].
Nathan, D. M. ;
Turgeon, H. ;
Regan, S. .
DIABETOLOGIA, 2007, 50 (11) :2239-2244
[17]   The relationship between hypoglycaemia and glucose variability in type 1 diabetes [J].
Perlman, Jordan E. ;
Gooley, Theodore A. ;
Meyers, Jedidiah ;
Hirsch, Irl B. .
DIABETES OBESITY & METABOLISM, 2022, 24 (04) :733-736
[18]   Beyond HbA1c: Comparing Glycemic Variability and Glycemic Indices in Predicting Hypoglycemia in Type 1 and Type 2 Diabetes [J].
Rama Chandran, Suresh ;
Tay, Wei Lin ;
Lye, Weng Kit ;
Lim, Lee Ling ;
Ratnasingam, Jeyakantha ;
Tan, Alexander Tong Boon ;
Gardner, Daphne S. L. .
DIABETES TECHNOLOGY & THERAPEUTICS, 2018, 20 (05) :353-362
[19]   Limitations of Reporting Time Below Range as a Percentage [J].
Shah, Viral N. .
DIABETES TECHNOLOGY & THERAPEUTICS, 2023, 25 (11) :822-825
[20]   The Relationship of Hemoglobin A1C to Time-in-Range in Patients with Diabetes [J].
Vigersky, Robert A. ;
McMahon, Chantal .
DIABETES TECHNOLOGY & THERAPEUTICS, 2019, 21 (02) :81-85