scholarly journals Continuous Glucose Monitoring in Critically Ill Patients With COVID-19: Results of an Emergent Pilot Study

2020 ◽  
Vol 14 (6) ◽  
pp. 1065-1073
Author(s):  
Archana R. Sadhu ◽  
Ivan Alexander Serrano ◽  
Jiaqiong Xu ◽  
Tariq Nisar ◽  
Jessica Lucier ◽  
...  
Keyword(s):  
Blood Glucose ◽  
Pilot Study ◽  
Insulin Therapy ◽  
Critically Ill ◽  
Continuous Glucose Monitoring ◽  
Critically Ill Patients ◽  
Point Of Care ◽  
Glucose Monitoring ◽  
Blood Glucose Monitoring ◽  
Target Range

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.

scholarly journals Glucose Management Technologies for the Critically Ill

2019 ◽  
Vol 13 (4) ◽  
pp. 682-690 ◽  
Author(s):  
Pedro D. Salinas ◽  
Carlos E. Mendez
Keyword(s):  
Insulin Therapy ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
New Technologies ◽  
Point Of Care ◽  
Glucose Monitoring ◽  
Standard Of Care ◽  
Optimal Method ◽  
Intravenous Insulin ◽  
Glucose Management

Hyperglycemia is common in the intensive care unit (ICU) both in patients with and without a previous diagnosis of diabetes. The optimal glucose range in the ICU population is still a matter of debate. Given the risk of hypoglycemia associated with intensive insulin therapy, current recommendations include treating hyperglycemia after two consecutive glucose >180 mg/dL with target levels of 140-180 mg/dL for most patients. The optimal method of sampling glucose and delivery of insulin in critically ill patients remains elusive. While point of care glucose meters are not consistently accurate and have to be used with caution, continuous glucose monitoring (CGM) is not standard of care, nor is it generally recommended for inpatient use. Intravenous insulin therapy using paper or electronic protocols remains the preferred approach for critically ill patients. The advent of new technologies, such as electronic glucose management, CGM, and closed-loop systems, promises to improve inpatient glycemic control in the critically ill with lower rates of hypoglycemia.

Remote Continuous Glucose Monitoring With a Computerized Insulin Infusion Protocol for Critically Ill Patients in a COVID-19 Medical ICU: Proof of Concept

2021 ◽  
Author(s):  
Georgia M. Davis ◽  
Eileen Faulds ◽  
Tara Walker ◽  
Debbie Vigliotti ◽  
Marina Rabinovich ◽  
...  
Keyword(s):  
Real Time ◽  
Critically Ill ◽  
Continuous Glucose Monitoring ◽  
Critically Ill Patients ◽  
Insulin Infusion ◽  
Point Of Care ◽  
Glucose Monitoring ◽  
Proof Of Concept ◽  
Computerized Decision Support ◽  
Glucose Testing

<b>Objective: </b>The use of remote real-time continuous glucose monitoring (CGM) in the hospital has rapidly emerged to preserve personal protective equipment (PPE) and reduce potential exposures during COVID-19. <p><b>Design and Methods:</b> We linked a hybrid CGM and point-of-care (POC) glucose testing protocol to a computerized decision support system for continuous insulin infusion (CII) 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 ICU.<b></b></p> <p><b>Results: </b>All nine patients required mechanical ventilation and corticosteroids. Seventy six percent 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.</p> <p><b>Conclusions: </b>A hybrid protocol integrating real-time CGM and POC is helpful for managing critically ill patients with COVID-19 requiring insulin infusion. </p>

scholarly journals Remote Continuous Glucose Monitoring With a Computerized Insulin Infusion Protocol for Critically Ill Patients in a COVID-19 Medical ICU: Proof of Concept

2021 ◽  
Author(s):  
Georgia M. Davis ◽  
Eileen Faulds ◽  
Tara Walker ◽  
Debbie Vigliotti ◽  
Marina Rabinovich ◽  
...  
Keyword(s):  
Real Time ◽  
Critically Ill ◽  
Continuous Glucose Monitoring ◽  
Critically Ill Patients ◽  
Insulin Infusion ◽  
Point Of Care ◽  
Glucose Monitoring ◽  
Proof Of Concept ◽  
Computerized Decision Support ◽  
Glucose Testing

<b>Objective: </b>The use of remote real-time continuous glucose monitoring (CGM) in the hospital has rapidly emerged to preserve personal protective equipment (PPE) and reduce potential exposures during COVID-19. <p><b>Design and Methods:</b> We linked a hybrid CGM and point-of-care (POC) glucose testing protocol to a computerized decision support system for continuous insulin infusion (CII) 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 ICU.<b></b></p> <p><b>Results: </b>All nine patients required mechanical ventilation and corticosteroids. Seventy six percent 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.</p> <p><b>Conclusions: </b>A hybrid protocol integrating real-time CGM and POC is helpful for managing critically ill patients with COVID-19 requiring insulin infusion. </p>

scholarly journals Remote Continuous Glucose Monitoring With a Computerized Insulin Infusion Protocol for Critically Ill Patients in a COVID-19 Medical ICU: Proof of Concept

2021 ◽  
Author(s):  
Georgia M. Davis ◽  
Eileen Faulds ◽  
Tara Walker ◽  
Debbie Vigliotti ◽  
Marina Rabinovich ◽  
...  
Keyword(s):  
Real Time ◽  
Critically Ill ◽  
Continuous Glucose Monitoring ◽  
Critically Ill Patients ◽  
Insulin Infusion ◽  
Point Of Care ◽  
Glucose Monitoring ◽  
Proof Of Concept ◽  
Computerized Decision Support ◽  
Glucose Testing

<b>Objective: </b>The use of remote real-time continuous glucose monitoring (CGM) in the hospital has rapidly emerged to preserve personal protective equipment (PPE) and reduce potential exposures during COVID-19. <p><b>Design and Methods:</b> We linked a hybrid CGM and point-of-care (POC) glucose testing protocol to a computerized decision support system for continuous insulin infusion (CII) 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 ICU.<b></b></p> <p><b>Results: </b>All nine patients required mechanical ventilation and corticosteroids. Seventy six percent 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.</p> <p><b>Conclusions: </b>A hybrid protocol integrating real-time CGM and POC is helpful for managing critically ill patients with COVID-19 requiring insulin infusion. </p>

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