The Association of Continuous Glucose Monitoring Metrics with Hospital-Related Clinical Outcomes in Nonintensive Care Units.

Journal: Diabetes Technology & Therapeutics
Published:
Abstract

Aims: We investigated the association between continuous glucose monitoring (CGM) metrics and clinical outcomes in the nonintensive care unit (non-ICU) setting.

Methods: In this observational cohort study, patients on non-ICU floors wore blinded Dexcom G6 Pro CGM. CGM metrics and occurrence of CGM-detected severe hypoglycemia were measured. Clinical data, including infection, diabetic ketoacidosis, renal replacement therapy, thrombosis, and 30-day post-discharge readmissions and emergency department (ED) visits were identified from the medical record and participant phone interview. Multivariate regression assessed predictors of CGM-detected severe hypoglycemia and the associations between CGM metrics and clinical outcomes. Regression models using CGM data or reference glucose data were compared with receiver operating characteristic (ROC) curves.

Results: A total of 326 hospitalized adults were enrolled with median % time in range 70-180 mg/dL 44.5% (17.1, 70.2%), % time above range >180 mg/dL 54.8% (28.8, 82.3%), and % time below range 0.6% (0, 0.2%). Predictors of severe hypoglycemia included type 1 diabetes, female gender, lower admission hemoglobin, lower A1c, and longer hospital stay. Regression analyses demonstrated an association of 30-day ED visits with increased %TAR (P = 0.01). ROC curves showed models using CGM data or reference data predicted clinical outcomes similarly.

Conclusions: CGM can be useful in identifying patients at risk of inpatient hypoglycemia and 30-day ED visits.

Authors
Kristen Flint, Mollie O'connor, Amy Sabean, Annabelle Ashley, Hui Zheng, Joyce Yan, Barbara Steiner, Nillani Anandakugan, Melissa Calverley, Rachel Bartholomew, Evelyn Greaux, Mary Larkin, Steven Russell, Melissa Putman