Advancing Continuous Glucose Monitoring for Inpatient Clinical Decision Support: Individual Algorithmic Mean Absolute Relative Difference
Patient-specific algorithmic refinements of CGM data demonstrate the potential to adequately address the unique demands of inpatient diabetes care by reducing intrapersonal MARD, paving the way for the adoption of CGM systems into hospital environments.
Authors
- Lukas van Baal (ORCID: https://orcid.org/0000-0001-7814-1223)
- Fin Hendrik Bahnsen (ORCID: https://orcid.org/0000-0002-5204-4713)
- Susanne Tan (ORCID: https://orcid.org/0000-0003-2692-8643)
- Jens Kleesiek (ORCID: https://orcid.org/0000-0001-8686-0682)
- Jill von Conta (ORCID: https://orcid.org/0000-0001-8060-7651)
- Lutz Heinemann (ORCID: https://orcid.org/0000-0003-2493-1304)
- Dagmar Führer‐Sakel
Institutions
- Heart and Diabetes Center North Rhine-Westphalia (DE)
- Essen University Hospital (DE)
- Deutsches Diabetes-Zentrum e.V. (DE)
- University of Duisburg-Essen (DE)
Publication Details
- Journal
- Diabetes Care
- Published
- 2025-11-03
- DOI
- https://doi.org/10.2337/dc25-1494
- Primary Topic
- Hyperglycemia and glycemic control in critically ill and hospitalized patients
- Type
- article
- Field-Weighted Citation Impact
- 0.00