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Remote Continuous Glucose Monitoring With a Computerized Insulin Infusion Protocol for Critically Ill Patients in a COVID-19 Medical ICU: Proof of Concept.
Davis, Georgia M; Faulds, Eileen; Walker, Tara; Vigliotti, Debbie; Rabinovich, Marina; Hester, Joi; Peng, Limin; McLean, Barbara; Hannon, Patricia; Poindexter, Norma; Saunders, Petrena; Perez-Guzman, Citlalli; Tekwani, Seema S; Martin, Greg S; Umpierrez, Guillermo; Agarwal, Shivani; Dungan, Kathleen; Pasquel, Francisco J.
  • Davis GM; Division of Endocrinology, Metabolism, and Lipids, Emory University School of Medicine, Atlanta, GA.
  • Faulds E; Division of Endocrinology, The Ohio State University, Columbus, OH.
  • Walker T; Information Technology, Grady Health System, Atlanta, GA.
  • Vigliotti D; Department of Pharmacy, Grady Health System, Atlanta, GA.
  • Rabinovich M; Department of Pharmacy, Grady Health System, Atlanta, GA.
  • Hester J; Department of Medicine, Morehouse School of Medicine, Atlanta, GA.
  • Peng L; Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA.
  • McLean B; Division of Critical Care, Grady Health System, Atlanta, GA.
  • Hannon P; Division of Critical Care, Grady Health System, Atlanta, GA.
  • Poindexter N; Division of Critical Care, Grady Health System, Atlanta, GA.
  • Saunders P; Division of Critical Care, Grady Health System, Atlanta, GA.
  • Perez-Guzman C; Division of Endocrinology, Metabolism, and Lipids, Emory University School of Medicine, Atlanta, GA.
  • Tekwani SS; Division of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Emory University School of Medicine, Atlanta, GA.
  • Martin GS; Division of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Emory University School of Medicine, Atlanta, GA.
  • Umpierrez G; Division of Endocrinology, Metabolism, and Lipids, Emory University School of Medicine, Atlanta, GA.
  • Agarwal S; Fleischer Institute for Diabetes and Metabolism, New York Regional Center for Diabetes Translational Research, Albert Einstein College of Medicine, Bronx, NY.
  • Dungan K; Division of Endocrinology, The Ohio State University, Columbus, OH.
  • Pasquel FJ; Division of Endocrinology, Metabolism, and Lipids, Emory University School of Medicine, Atlanta, GA fpasque@emory.edu.
Diabetes Care ; 44(4): 1055-1058, 2021 04.
Article in English | MEDLINE | ID: covidwho-1076409
ABSTRACT

OBJECTIVE:

The use of remote real-time continuous glucose monitoring (CGM) in the hospital has rapidly emerged to preserve personal protective equipment and reduce potential exposures during coronavirus disease 2019 (COVID-19). RESEARCH DESIGN AND

METHODS:

We linked a hybrid CGM and point-of-care (POC) glucose testing protocol to a computerized decision support system for continuous insulin infusion and integrated a validation system for sensor glucose values into the electronic health record. We report our proof-of-concept experience in a COVID-19 intensive care unit.

RESULTS:

All nine patients required mechanical ventilation and corticosteroids. During the protocol, 75.7% of sensor values were within 20% of the reference POC glucose with an associated average reduction in POC of 63%. Mean time in range (70-180 mg/dL) was 71.4 ± 13.9%. Sensor accuracy was impacted by mechanical interferences in four patients.

CONCLUSIONS:

A hybrid protocol integrating real-time CGM and POC is helpful for managing critically ill patients with COVID-19 requiring insulin infusion.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Blood Glucose / Insulin Infusion Systems / Critical Illness / Diabetes Complications / Remote Sensing Technology / COVID-19 / COVID-19 Drug Treatment / Insulin Type of study: Prognostic study Topics: Long Covid Limits: Aged / Female / Humans / Male / Middle aged Language: English Journal: Diabetes Care Year: 2021 Document Type: Article Affiliation country: Dc20-2085

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Blood Glucose / Insulin Infusion Systems / Critical Illness / Diabetes Complications / Remote Sensing Technology / COVID-19 / COVID-19 Drug Treatment / Insulin Type of study: Prognostic study Topics: Long Covid Limits: Aged / Female / Humans / Male / Middle aged Language: English Journal: Diabetes Care Year: 2021 Document Type: Article Affiliation country: Dc20-2085