دورية أكاديمية

Glycemic Risk Index Profiles and Predictors Among Diverse Adults With Type 1 Diabetes.

التفاصيل البيبلوغرافية
العنوان: Glycemic Risk Index Profiles and Predictors Among Diverse Adults With Type 1 Diabetes.
المؤلفون: Hoogendoorn CJ; Ferkauf Graduate School of Psychology, Yeshiva University, Bronx, NY, USA.; Division of Endocrinology, Department of Medicine, Albert Einstein College of Medicine, Bronx, NY, USA., Hernandez R; Chan Division of Occupational Science and Occupational Therapy, University of Southern California, Los Angeles, CA, USA.; Center for Economic and Social Research, University of Southern California, Los Angeles, CA, USA., Schneider S; Center for Economic and Social Research, University of Southern California, Los Angeles, CA, USA.; Department of Psychology, University of Southern California, Los Angeles, CA, USA., Harmel M; Keck School of Medicine, University of Southern California, Los Angeles, CA, USA., Pham LT; Chan Division of Occupational Science and Occupational Therapy, University of Southern California, Los Angeles, CA, USA., Crespo-Ramos G; Division of Endocrinology, Department of Medicine, Albert Einstein College of Medicine, Bronx, NY, USA., Agarwal S; Division of Endocrinology, Department of Medicine, Albert Einstein College of Medicine, Bronx, NY, USA.; New York Regional Center for Diabetes Translation Research, Albert Einstein College of Medicine, Bronx, NY, USA., Crandall J; Division of Endocrinology, Department of Medicine, Albert Einstein College of Medicine, Bronx, NY, USA.; New York Regional Center for Diabetes Translation Research, Albert Einstein College of Medicine, Bronx, NY, USA., Peters AL; Keck School of Medicine, University of Southern California, Los Angeles, CA, USA., Spruijt-Metz D; Center for Economic and Social Research, University of Southern California, Los Angeles, CA, USA.; Department of Psychology, University of Southern California, Los Angeles, CA, USA.; Keck School of Medicine, University of Southern California, Los Angeles, CA, USA., Gonzalez JS; Ferkauf Graduate School of Psychology, Yeshiva University, Bronx, NY, USA.; Division of Endocrinology, Department of Medicine, Albert Einstein College of Medicine, Bronx, NY, USA.; New York Regional Center for Diabetes Translation Research, Albert Einstein College of Medicine, Bronx, NY, USA., Pyatak EA; Chan Division of Occupational Science and Occupational Therapy, University of Southern California, Los Angeles, CA, USA.
المصدر: Journal of diabetes science and technology [J Diabetes Sci Technol] 2024 Sep; Vol. 18 (5), pp. 1070-1078. Date of Electronic Publication: 2023 Mar 30.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Sage Country of Publication: United States NLM ID: 101306166 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1932-2968 (Electronic) Linking ISSN: 19322968 NLM ISO Abbreviation: J Diabetes Sci Technol Subsets: MEDLINE
أسماء مطبوعة: Publication: 2014- : Thousand Oaks, CA : Sage
Original Publication: Foster City, CA : Diabetes Technology Society
مواضيع طبية MeSH: Diabetes Mellitus, Type 1*/blood , Diabetes Mellitus, Type 1*/drug therapy , Blood Glucose*/analysis , Blood Glucose Self-Monitoring*, Humans ; Male ; Female ; Adult ; Middle Aged ; Risk Factors ; Hypoglycemia/epidemiology ; Hypoglycemia/blood ; Hypoglycemia/chemically induced ; Risk Assessment
مستخلص: Background: The Glycemia Risk Index (GRI) was introduced as a single value derived from the ambulatory glucose profile that identifies patients who need attention. This study describes participants in each of the five GRI zones and examines the percentage of variation in GRI scores that is explained by sociodemographic and clinical variables among diverse adults with type 1 diabetes.
Methods: A total of 159 participants provided blinded continuous glucose monitoring (CGM) data over 14 days (mean age [SD] = 41.4 [14.5] years; female = 54.1%, Hispanic = 41.5%). Glycemia Risk Index zones were compared on CGM, sociodemographic, and clinical variables. Shapley value analysis examined the percentage of variation in GRI scores explained by different variables. Receiver operating characteristic curves examined GRI cutoffs for those more likely to have experienced ketoacidosis or severe hypoglycemia.
Results: Mean glucose and variability, time in range, and percentage of time in high, and very high, glucose ranges differed across the five GRI zones ( P values < .001). Multiple sociodemographic indices also differed across zones, including education level, race/ethnicity, age, and insurance status. Sociodemographic and clinical variables collectively explained 62.2% of variance in GRI scores. A GRI score ≥84.5 reflected greater likelihood of ketoacidosis (area under the curve [AUC] = 0.848), and scores ≥58.2 reflected greater likelihood of severe hypoglycemia (AUC = 0.729) over the previous six months.
Conclusions: Results support the use of the GRI, with GRI zones identifying those in need of clinical attention. Findings highlight the need to address health inequities. Treatment differences associated with the GRI also suggest behavioral and clinical interventions including starting individuals on CGM or automated insulin delivery systems.
Competing Interests: Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
معلومات مُعتمدة: K23 DK115896 United States DK NIDDK NIH HHS
فهرسة مساهمة: Keywords: automated insulin delivery systems; continuous glucose monitoring; diabetes self-management; glycemic risk index; health inequities; type 1 diabetes
المشرفين على المادة: 0 (Blood Glucose)
تواريخ الأحداث: Date Created: 20230331 Date Completed: 20240901 Latest Revision: 20240901
رمز التحديث: 20240902
DOI: 10.1177/19322968231164151
PMID: 36999215
قاعدة البيانات: MEDLINE
الوصف
تدمد:1932-2968
DOI:10.1177/19322968231164151