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Use of Continuous Glucose Monitors in Coronavirus Disease 2019 ICU and Potential Inpatient Settings

Use of Continuous Glucose Monitors in Coronavirus Disease 2019 ICU and Potential Inpatient Settings

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT05343624
Acronym
CGMCOV
Enrollment
9
Registered
2022-04-25
Start date
2020-06-18
Completion date
2021-12-01
Last updated
2023-02-10

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Covid19, Diabetes Mellitus

Brief summary

The objective of the study is to improve glycemic control in inpatient/ICU settings using real- time continuous glucose monitors (CGM) data for insulin titration. It may help reduce Coronavirus disease 2019 patient contact with healthcare workers as well.

Detailed description

Due to the increasing need for acute care of COVID-19 patients in ICU settings, the use of continuous glucose monitors (CGM) as a means to reduce patient contact and remotely improve glycemic control for diabetic COVID-19 patients needs to be explored. As demonstrated by recent data published in China, Wuhan province patients with diabetes made up 22.2% of COVID-19 ICU patient populations with a subsequent mortality of 7.3% (3). Not only during COVID-19 pandemic but also previous experiences with SARS and influenza viral respiratory infections demonstrated increased mortality in those patients with hyperglycemia (4). Using CGMs provides timely access to glucose trends, commonly used to determine insulin dosing decisions in outpatient settings (5). Implementing their use for hospitalized patients could be expected to improve healthcare worker insight into glycemic control therapies. Considering the ease of transmission of the SARS-Cov-2 virus, it is important to minimize duration and frequency of patient contact in order to maintain the safety of COVID-19 healthcare workers without compromising on their glycemic control. The WHO recommends that any healthcare provider coming into direct contact with COVID-19 patients should be utilizing appropriate PPE for each encounter. In this time of limited PPE supply (6), remote glucose monitoring can allow for rational use of these limited resources. With appropriate training on CGM data interpretation, nursing and ordering providers could expect to develop and implement more efficient insulin plans, requiring fewer physical contact with COVID-19 positive patients.

Interventions

DEVICEcontinuous glucose monitoring

Use of continuous glucose monitoring in inpatient and ICU settings

Sponsors

University Hospitals Cleveland Medical Center
Lead SponsorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
SUPPORTIVE_CARE
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Coronavirus disease 2019 tested positive patient * Age over 18 years * Admitted to Coronavirus disease 2019 specific ICU, with possible transfer to inpatient unit when stable * Patients with known or acquired Type 1 or Type 2 Diabetes requiring insulin therapy during admission

Exclusion criteria

* In state of active diabetic ketoacidosis (DKA) at time of enrollment * Two or more vasopressors in use at time of sensor placement * Unable to use at predetermined sensor site based on assessment of skin health

Design outcomes

Primary

MeasureTime frameDescription
Time in Range14 daysPercentage of time spent in target glucose range of 140-180mg/dL

Secondary

MeasureTime frameDescription
Number of Days CGM Worn14 daysNumber of days the CGM was worn
Hypoglycemia14 daysAverage number of hypoglycemia events per participant

Countries

United States

Participant flow

Participants by arm

ArmCount
CGM Arm
continuous glucose meter is placed on the abdomen continuous glucose monitoring: Use of continuous glucose monitoring in inpatient and ICU settings
8
Total8

Withdrawals & dropouts

PeriodReasonFG000
Overall StudyChart review not completed1

Baseline characteristics

CharacteristicCGM Arm
Age, Categorical
<=18 years
0 Participants
Age, Categorical
>=65 years
0 Participants
Age, Categorical
Between 18 and 65 years
8 Participants
Race and Ethnicity Not Collected— Participants
Sex: Female, Male
Female
1 Participants
Sex: Female, Male
Male
7 Participants

Adverse events

Event typeEG000
affected / at risk
deaths
Total, all-cause mortality
0 / 8
other
Total, other adverse events
0 / 8
serious
Total, serious adverse events
0 / 8

Outcome results

Primary

Time in Range

Percentage of time spent in target glucose range of 140-180mg/dL

Time frame: 14 days

ArmMeasureValue (MEDIAN)Dispersion
CGM ArmTime in Range21.6 percentage of timeStandard Deviation 13.47
Secondary

Hypoglycemia

Average number of hypoglycemia events per participant

Time frame: 14 days

ArmMeasureGroupValue (MEDIAN)Dispersion
CGM ArmHypoglycemiaLow 54-140mg/dl13.8 EventsStandard Deviation 10.44
CGM ArmHypoglycemiaVery low <54 mg/dl0 EventsStandard Deviation 1.07
Secondary

Number of Days CGM Worn

Number of days the CGM was worn

Time frame: 14 days

ArmMeasureValue (MEDIAN)Dispersion
CGM ArmNumber of Days CGM Worn5 daysStandard Deviation 5.39

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026