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CGM Metrics Identify Dysglycemic States in Participants From the TrialNet Pathway to Prevention Study.
Wilson, Darrell M; Pietropaolo, Susan L; Acevedo-Calado, Maria; Huang, Shuai; Anyaiwe, Destiny; Scheinker, David; Steck, Andrea K; Vasudevan, Madhuri M; McKay, Siripoom V; Sherr, Jennifer L; Herold, Kevan C; Dunne, Jessica L; Greenbaum, Carla J; Lord, Sandra M; Haller, Michael J; Schatz, Desmond A; Atkinson, Mark A; Nelson, Patrick W; Pietropaolo, Massimo.
Afiliação
  • Wilson DM; 1Division of Pediatric Endocrinology, Stanford University School of Medicine, Palo Alto, CA.
  • Pietropaolo SL; 2Division of Endocrinology, Diabetes, and Metabolism, Diabetes Research Center, Department of Medicine, Baylor College of Medicine, Houston, TX.
  • Acevedo-Calado M; 2Division of Endocrinology, Diabetes, and Metabolism, Diabetes Research Center, Department of Medicine, Baylor College of Medicine, Houston, TX.
  • Huang S; 3Department of Industrial & Systems Engineering, University of Washington, Seattle, WA.
  • Anyaiwe D; 4Department of Mathematics & Computer Science, Lawrence Technological University, Southfield, MI.
  • Scheinker D; 1Division of Pediatric Endocrinology, Stanford University School of Medicine, Palo Alto, CA.
  • Steck AK; 5Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO.
  • Vasudevan MM; 2Division of Endocrinology, Diabetes, and Metabolism, Diabetes Research Center, Department of Medicine, Baylor College of Medicine, Houston, TX.
  • McKay SV; 2Division of Endocrinology, Diabetes, and Metabolism, Diabetes Research Center, Department of Medicine, Baylor College of Medicine, Houston, TX.
  • Sherr JL; 6Department of Pediatrics, Baylor College of Medicine, Houston, TX.
  • Herold KC; 7Division of Pediatric Endocrinology, Yale University School of Medicine, New Haven, CT.
  • Dunne JL; 8Departments of Immunobiology and Internal Medicine, Yale University, New Haven, CT.
  • Greenbaum CJ; 9JDRF, New York, NY.
  • Lord SM; 10Center for Interventional Immunology and Diabetes Program, Benaroya Research Institute, Seattle, WA.
  • Haller MJ; 10Center for Interventional Immunology and Diabetes Program, Benaroya Research Institute, Seattle, WA.
  • Schatz DA; 11Department of Pediatrics, University of Florida Diabetes Institute, College of Medicine, University of Florida, Gainesville, FL.
  • Atkinson MA; 11Department of Pediatrics, University of Florida Diabetes Institute, College of Medicine, University of Florida, Gainesville, FL.
  • Nelson PW; 11Department of Pediatrics, University of Florida Diabetes Institute, College of Medicine, University of Florida, Gainesville, FL.
  • Pietropaolo M; 4Department of Mathematics & Computer Science, Lawrence Technological University, Southfield, MI.
Diabetes Care ; 46(3): 526-534, 2023 03 01.
Article em En | MEDLINE | ID: mdl-36730530
ABSTRACT

OBJECTIVE:

Continuous glucose monitoring (CGM) parameters may identify individuals at risk for progression to overt type 1 diabetes. We aimed to determine whether CGM metrics provide additional insights into progression to clinical stage 3 type 1 diabetes. RESEARCH DESIGN AND

METHODS:

One hundred five relatives of individuals in type 1 diabetes probands (median age 16.8 years; 89% non-Hispanic White; 43.8% female) from the TrialNet Pathway to Prevention study underwent 7-day CGM assessments and oral glucose tolerance tests (OGTTs) at 6-month intervals. The baseline data are reported here. Three groups were evaluated individuals with 1) stage 2 type 1 diabetes (n = 42) with two or more diabetes-related autoantibodies and abnormal OGTT; 2) stage 1 type 1 diabetes (n = 53) with two or more diabetes-related autoantibodies and normal OGTT; and 3) negative test for all diabetes-related autoantibodies and normal OGTT (n = 10).

RESULTS:

Multiple CGM metrics were associated with progression to stage 3 type 1 diabetes. Specifically, spending ≥5% time with glucose levels ≥140 mg/dL (P = 0.01), ≥8% time with glucose levels ≥140 mg/dL (P = 0.02), ≥5% time with glucose levels ≥160 mg/dL (P = 0.0001), and ≥8% time with glucose levels ≥160 mg/dL (P = 0.02) were all associated with progression to stage 3 disease. Stage 2 participants and those who progressed to stage 3 also exhibited higher mean daytime glucose values; spent more time with glucose values over 120, 140, and 160 mg/dL; and had greater variability.

CONCLUSIONS:

CGM could aid in the identification of individuals, including those with a normal OGTT, who are likely to rapidly progress to stage 3 type 1 diabetes.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 1 Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 1 Idioma: En Ano de publicação: 2023 Tipo de documento: Article