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Continuous Glucose Monitoring in Critically Ill Patients With COVID-19: Results of an Emergent Pilot Study.
Sadhu, Archana R; Serrano, Ivan Alexander; Xu, Jiaqiong; Nisar, Tariq; Lucier, Jessica; Pandya, Anjani R; Patham, Bhargavi.
  • Sadhu AR; Division of Endocrinology, Diabetes and Metabolism, Houston Methodist, Weill Cornell Medical College, Texas A&M Health Sciences Center, Houston, TX, USA.
  • Serrano IA; Division of Endocrinology, Diabetes and Metabolism, Houston Methodist, Houston, TX, USA.
  • Xu J; Center for Outcomes Research, Houston Methodist DeBakey Heart & Vascular Center, Houston Methodist Research Institute, Weill Cornell Medical College, Houston, TX, USA.
  • Nisar T; Houston Methodist Research Institute, Houston, TX, USA.
  • Lucier J; Division of Endocrinology, Diabetes and Metabolism, Houston Methodist, Houston, TX, USA.
  • Pandya AR; Division of Endocrinology, Diabetes and Metabolism, Houston Methodist, Houston, TX, USA.
  • Patham B; Division of Endocrinology, Diabetes and Metabolism, Houston Methodist, Weill Cornell Medical College, Texas A&M Health Sciences Center, Houston, TX, USA.
J Diabetes Sci Technol ; 14(6): 1065-1073, 2020 11.
Article in English | MEDLINE | ID: covidwho-873877
ABSTRACT

BACKGROUND:

Amidst the coronavirus disease 2019 (COVID-19) pandemic, continuous glucose monitoring (CGM) has emerged as an alternative for inpatient point-of-care blood glucose (POC-BG) monitoring. We performed a feasibility pilot study using CGM in critically ill patients with COVID-19 in the intensive care unit (ICU).

METHODS:

Single-center, retrospective study of glucose monitoring in critically ill patients with COVID-19 on insulin therapy using Medtronic Guardian Connect and Dexcom G6 CGM systems. Primary outcomes were feasibility and accuracy for trending POC-BG. Secondary outcomes included reliability and nurse acceptance. Sensor glucose (SG) was used for trends between POC-BG with nursing guidance to reduce POC-BG frequency from one to two hours to four hours when the SG was in the target range. Mean absolute relative difference (MARD), Clarke error grids analysis (EGA), and Bland-Altman (B&A) plots were calculated for accuracy of paired SG and POC-BG measurements.

RESULTS:

CGM devices were placed on 11 patients Medtronic (n = 6) and Dexcom G6 (n = 5). Both systems were feasible and reliable with good nurse acceptance. To determine accuracy, 437 paired SG and POC-BG readings were analyzed. For Medtronic, the MARD was 13.1% with 100% of readings in zones A and B on Clarke EGA. For Dexcom, MARD was 11.1% with 98% of readings in zones A and B. B&A plots had a mean bias of -17.76 mg/dL (Medtronic) and -1.94 mg/dL (Dexcom), with wide 95% limits of agreement.

CONCLUSIONS:

During the COVID-19 pandemic, CGM is feasible in critically ill patients and has acceptable accuracy to identify trends and guide intermittent blood glucose monitoring with insulin therapy.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Blood Glucose / Critical Illness / Coronavirus Infections / Monitoring, Physiologic Type of study: Diagnostic study / Observational study / Prognostic study Language: English Journal: J Diabetes Sci Technol Journal subject: Endocrinology Year: 2020 Document Type: Article Affiliation country: 1932296820964264

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Blood Glucose / Critical Illness / Coronavirus Infections / Monitoring, Physiologic Type of study: Diagnostic study / Observational study / Prognostic study Language: English Journal: J Diabetes Sci Technol Journal subject: Endocrinology Year: 2020 Document Type: Article Affiliation country: 1932296820964264