Diabetologie und Stoffwechsel 2025; 20(S 01): S11
DOI: 10.1055/s-0045-1807376
Abstracts | DDG 2025
Freie Vorträge
Digitalisierung im Krankenhaus

Accuracy and Reliability of Intermittent Scanning and Real-Time Continuous Glucose Monitoring Systems in Diabetes Emergencies

L van Baal
1   Universitätsklinikum Essen, Klinik für Endokrinologie, Diabetologie und Stoffwechsel, Essen, Germany
,
L Heinemann
2   Science Consulting in Diabetes GmbH, Düsseldorf, Düsseldorf, Germany
,
J Reinold
3   Universitätsklinikum Essen, Klinik für Nephrologie, Essen, Germany
,
J von Conta
4   Universitätsklinikum Essen, Institut für künstliche Intelligenz in der Medizin, Essen, Germany
,
F H Bahnsen
4   Universitätsklinikum Essen, Institut für künstliche Intelligenz in der Medizin, Essen, Germany
,
J Kleesiek
4   Universitätsklinikum Essen, Institut für künstliche Intelligenz in der Medizin, Essen, Germany
,
D Führer
1   Universitätsklinikum Essen, Klinik für Endokrinologie, Diabetologie und Stoffwechsel, Essen, Germany
,
S Reger-Tan
1   Universitätsklinikum Essen, Klinik für Endokrinologie, Diabetologie und Stoffwechsel, Essen, Germany
› Author Affiliations
 

Aims: Diabetes care is a major challenge of patients treated in hospitals. Continuous glucose monitoring (CGM) provides a more comprehensive assessment of glucose control compared to capillary blood glucose measurements. Especially in emergencies, data on CGM use in inpatients is limited. To evaluate real-world usability, accuracy of an intermittent scanning and a real-time CGM in patients admitted due to diabetes emergencies was assessed.

Methods: In 151 patients admitted due to diabetes emergencies this single-center prospective study investigated the mean absolute relative difference (MARD) in broad glycemic ranges. The CGM accuracy was evaluated by applying a modified version of the Food and Drug Administration (FDA) criteria for CGM use, Clark Error Grid (CEG) and Bland Altman analysis (BAA).

Results: Analysis of 1,498 CGM-/POC-glucose (CGM-/POC-G) pairs revealed a MARD of 10.8% with stepwise improvement from the hypoglycemic to the hyperglycemic range. The CEG analysis showed that 99.1% of all glucose values fell within the optimal or acceptable zones. BAA indicated that 96.0% of CGM-G values fell within the limits of the POC-G values. Day-by-day analysis of overall MARD revealed the highest MARD on the first day of CGM use, followed by consistent and stable MARD levels from day 2 onward until the end of wear time. Applying a modified version of the%20/20 agreement rate of the FDA criteria, 90.7% of CGM-G laid within+20 mg/dl/+20% agreement rule.

Conclusion: This study indicates the usability of CGM for inpatient diabetes care by demonstrating a high accuracy and reliability of CGM measurement.



Publication History

Article published online:
28 May 2025

© 2025. Thieme. All rights reserved.

Georg Thieme Verlag KG
Oswald-Hesse-Straße 50, 70469 Stuttgart, Germany