Continuous Glucose Monitoring Hypoglycemia Alarms in Critical Care: Clinical Utility and Workflow Integration

Background: Continuous glucose monitoring (CGM) has been associated with reductions in inpatient hypoglycemia; however, little is known about the performance and integration of CGM hypoglycemia alerts and alarms in the intensive care unit (ICU). We evaluated hypoglycemia signal frequency, clinical response, and contributing factors within an ICU implementation study. Methods: This prespecified secondary analysis was conducted within a prospective hybrid effectiveness-implementation study of adults in a medical ICU. Hypoglycemia signals included low alerts (<100 mg/dL), urgent low soon alerts, and urgent low alarms (<55 mg/dL). Signal frequency, progression to hypoglycemia <70 mg/dL, nursing response times, and protocol fidelity were evaluated. Consecutive signals occurring within 15 min were clustered into signal events. Confirmatory point-of-care (POC) glucose response time was calculated from the initial signal to the first subsequent POC measurement. All POC-confirmed hypoglycemic events (<70 mg/dL) underwent structured multidisciplinary root cause review. Results: Among 100 participants, 60% experienced at least one hypoglycemia signal, generating 1060 signals (3.6 ± 6.8 signals/patient-day) that clustered into 378 signal events. Fifty-one percent of signal events remained between 80 and 100 mg/dL, without falling below the institutional treatment threshold (<80 mg/dL). Ninety-five percent of urgent low alarms were preceded by an urgent low soon alert, a mean of 10.0 ± 7.8 min earlier. Median confirmatory POC response time was 33 min (interquartile range 12–51) and was significantly faster for lower glucose values and validated CGM signals. All, but one hypoglycemic event, were preceded by a validated CGM hypoglycemia signal. Case review identified intravenous insulin, carbohydrate coverage, and enteral feed-related factors as the most common contributors to hypoglycemia. Conclusions: CGM hypoglycemia signaling integrated into ICU workflows can provide advance warning before hypoglycemic events while maintaining a modest contribution to alarm burden. Signal characteristics influenced nursing response, supporting further optimization of inpatient CGM alarm thresholds and implementation strategies. Clinical Trial Registration: ClinicalTrials.gov NCT#05571397 https://clinicaltrials.gov/study/NCT05571397 .

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Publication Details

Journal
Diabetes Technology & Therapeutics
Published
2026-09-16
DOI
https://doi.org/10.1177/15209156261487821
Primary Topic
Hyperglycemia and glycemic control in critically ill and hospitalized patients
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article
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article

Continuous Glucose Monitoring Hypoglycemia Alarms in Critical Care: Clinical Utility and Workflow Integration

Eileen R. Faulds, MOLLY MCNETT, Chyongchiou J. Lin, Emily S. Patterson et al.
Diabetes Technology & Therapeutics
Hyperglycemia and glycemic control in critically ill and hospitalized patients
article

Continuous Glucose Monitoring Hypoglycemia Alarms in Critical Care: Clinical Utility and Workflow Integration

Eileen R. Faulds, MOLLY MCNETT, Chyongchiou J. Lin, Emily S. Patterson, Brooke Lee, KATHLEEN M. DUNGAN, Christian Ruvalcaba, Melanie Natasha Rayan, Amanie Rasul, Laureen Jones, Matthew Exline, Abigail Shoben, Zang Ping, Changchang Yin, Matthew Mlachak
article en

Abstract

Background: Continuous glucose monitoring (CGM) has been associated with reductions in inpatient hypoglycemia; however, little is known about the performance and integration of CGM hypoglycemia alerts and alarms in the intensive care unit (ICU). We evaluated hypoglycemia signal frequency, clinical response, and contributing factors within an ICU implementation study. Methods: This prespecified secondary analysis was conducted within a prospective hybrid effectiveness-implementation study of adults in a medical ICU. Hypoglycemia signals included low alerts (<100 mg/dL), urgent low soon alerts, and urgent low alarms (<55 mg/dL). Signal frequency, progression to hypoglycemia <70 mg/dL, nursing response times, and protocol fidelity were evaluated. Consecutive signals occurring within 15 min were clustered into signal events. Confirmatory point-of-care (POC) glucose response time was calculated from the initial signal to the first subsequent POC measurement. All POC-confirmed hypoglycemic events (<70 mg/dL) underwent structured multidisciplinary root cause review. Results: Among 100 participants, 60% experienced at least one hypoglycemia signal, generating 1060 signals (3.6 ± 6.8 signals/patient-day) that clustered into 378 signal events. Fifty-one percent of signal events remained between 80 and 100 mg/dL, without falling below the institutional treatment threshold (<80 mg/dL). Ninety-five percent of urgent low alarms were preceded by an urgent low soon alert, a mean of 10.0 ± 7.8 min earlier. Median confirmatory POC response time was 33 min (interquartile range 12–51) and was significantly faster for lower glucose values and validated CGM signals. All, but one hypoglycemic event, were preceded by a validated CGM hypoglycemia signal. Case review identified intravenous insulin, carbohydrate coverage, and enteral feed-related factors as the most common contributors to hypoglycemia. Conclusions: CGM hypoglycemia signaling integrated into ICU workflows can provide advance warning before hypoglycemic events while maintaining a modest contribution to alarm burden. Signal characteristics influenced nursing response, supporting further optimization of inpatient CGM alarm thresholds and implementation strategies. Clinical Trial Registration: ClinicalTrials.gov NCT#05571397 https://clinicaltrials.gov/study/NCT05571397 .

Diabetes Technology & Therapeutics
Amherst College (US), University of Massachusetts Amherst (US), The Ohio State University Wexner Medical Center (US), Rapid City Regional Hospital (US), Institute for Behavioral Medicine (US), The Ohio State University (US), Case Western Reserve University (US)
Openalex Percentile: Top 11%
Hyperglycemia and glycemic control in critically ill and hospitalized patients
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