scholarly journals Point and trend accuracy of continuous glucose monitoring using intravenous microdialysis in critically ill patients

Critical Care ◽  
2015 ◽  
Vol 19 (Suppl 1) ◽  
pp. P372
Author(s):  
JH Leopold ◽  
RT Hooijdonk ◽  
M Boshuizen ◽  
T Winters ◽  
LD Bos ◽  
...  
Keyword(s):  
Critically Ill ◽  
Continuous Glucose Monitoring ◽  
Critically Ill Patients ◽  
Glucose Monitoring ◽  
Intravenous Microdialysis

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 Accuracy and limitations of continuous glucose monitoring using spectroscopy in critically ill patients

2014 ◽  
Vol 4 (1) ◽  
pp. 8 ◽  
Author(s):  
Roosmarijn TM van Hooijdonk ◽  
Tineke Winters ◽  
Johan C Fischer ◽  
Edmée C van Dongen-Lases ◽  
James S Krinsley ◽  
...  
Keyword(s):  
Critically Ill ◽  
Continuous Glucose Monitoring ◽  
Critically Ill Patients ◽  
Glucose Monitoring

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>

74-LB: Sudden Changes in Interstitial Glucose Sensing by Remote Real-Time Continuous Glucose Monitoring as a Marker of Hypoperfusion in Critically-Ill Patients with COVID-19

Diabetes ◽  
2021 ◽  
Vol 70 (Supplement 1) ◽  
pp. 74-LB
Author(s):  
JOI HESTER ◽  
GEORGIA M. DAVIS ◽  
FRANCISCO J. PASQUEL ◽  
MARINA RABINOVICH ◽  
NORMA POINDEXTER ◽  
...  
Keyword(s):  
Real Time ◽  
Critically Ill ◽  
Continuous Glucose Monitoring ◽  
Critically Ill Patients ◽  
Glucose Monitoring ◽  
Glucose Sensing ◽  
Interstitial Glucose

scholarly journals Real-Time Continuous Glucose Monitoring in Critically Ill Patients: A prospective randomized trial

Diabetes Care ◽  
2009 ◽  
Vol 33 (3) ◽  
pp. 467-472 ◽  
Author(s):  
U. Holzinger ◽  
J. Warszawska ◽  
R. Kitzberger ◽  
M. Wewalka ◽  
W. Miehsler ◽  
...  
Keyword(s):  
Randomized Trial ◽  
Real Time ◽  
Critically Ill ◽  
Continuous Glucose Monitoring ◽  
Critically Ill Patients ◽  
Glucose Monitoring ◽  
Prospective Randomized Trial
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