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Diabetes ; 70, 2021.
Article in English | ProQuest Central | ID: covidwho-1362220

ABSTRACT

Introduction: During the COVID-19 pandemic, we implemented a protocol combining continuous glucose monitoring (CGM) with a computerized intravenous insulin infusion algorithm to care for patients with severe COVID-19. Objective: To examine glucose trends surrounding cardiac arrest events to evaluate the performance of CGM sensors during severe clinical instability. Methods: We reviewed eight cases of patients with type 2 diabetes diagnosed with COVID-19 requiring ICU care on IV insulin and CGM therapy experiencing severe clinical decompensation leading to cardiac arrest. Index events (cardiac arrest) were identified by staff documentation in the electronic health record. Clinical characteristics, mean arterial pressure (MAP), and point-of-care (POC) glucose values surrounding the index event were collected. CGM data was paired with MAP and POC glucose values. Rapid declines in the glucose trend [rate of change (ROC) ≥3mg/dl/min] were identified during this time of clinical instability. Results: The mean age of patients was 61.3±13.8 years. All patients were treated with steroid therapy, vasopressors, and mechanical ventilation. 62.5% were on CRRT. Four (50%) patients had sudden cardiac arrest and drop in MAP, while the other four patients had a more prolonged decline in MAP prior to cardiac arrest. CGM values in those with sudden arrest showed an abrupt decline (≥3mg/dl/min) an average of 16.7±13.7 min following cardiac arrest. Rapid down trending of CGM values in those with prolonged hypotension occurred on average about 6 hours prior to cardiac arrest. During these episodes, the CGM values stopped correlating with POC tests. Conclusions: Real-time CGM in critically-ill patients may provide clinical information beyond glucose control. Rapid declines in CGM values (≥3mg/dl/min) not correlating with POC glucose testing are associated with both sudden and prolonged changes in arterial pressure.

2.
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)
Blood Glucose/analysis , COVID-19 Drug Treatment , COVID-19 , Critical Illness/therapy , Diabetes Complications , Insulin Infusion Systems , Insulin/administration & dosage , Remote Sensing Technology , Aged , Aged, 80 and over , Algorithms , Blood Glucose/metabolism , Blood Glucose Self-Monitoring/instrumentation , Blood Glucose Self-Monitoring/methods , COVID-19/blood , COVID-19/complications , Diabetes Complications/blood , Diabetes Complications/drug therapy , Equipment and Supplies , Female , Humans , Intensive Care Units , Male , Middle Aged , Point-of-Care Systems , Proof of Concept Study , Remote Sensing Technology/instrumentation , SARS-CoV-2
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