Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz
Gewählte Publikation:
Abbas, F.
The impact of physical exercise on sensor performance of continuous glucose monitoring (CGM) systems in people with type 1 diabetes
Humanmedizin; [ Diplomarbeit ] Medizinische Universität Graz; 2022. pp. 60
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- Autor*innen der Med Uni Graz:
- Betreuer*innen:
- Aberer Felix
- Moser Othmar
- Altmetrics:
- Abstract:
- Aim This study aimed to comparing the accuracy of intermittently scanned glucose monitoring systems (isCGM) to capillary blood glucose throughout moderate-intensity exercise in people with Type 1 Diabetes. Methods Nineteen participants (eight women and eleven men, mean ± SD age was 41.23 ± 13.02 years, BMI 24.16 ± 2.58 kg/m2, HbA1c 55.74 ± 6.85 mmol/mol) performed 4 trial visits, each with 45 minutes of moderate intensity exercise. Throughout the visit, capillary blood samples were collected from the ear lobe and the fingertip every 5 minutes throughout the goal workload, and at the same time isCGM-scans were performed. Data was analyzed according to Median absolute relative difference (MARD), Clarke Error Grid, and Bland-Altman method. Results Throughout the visits, 846 isCGM scans were performed, and 846 capillary samples were obtained, once from the ear lobe and evaluated with lab-diagnostic (Biosen-S-line, EKF, GER) and once from the fingertip and examined with a glucometer (Freestyle libre, Abbott, USA). The assessment of isCGM performance to lab-diagnostic (Biosen-S-line, EKF, GER) showed a median relative difference (MARD) ± SD of 10.3% ± 10.7% and the comparison of Self-monitoring of blood glucose (SMBG) performed by glucometers (Freestyle libre, Abbott, USA) to isCGM revealed 11.3% ± 9.8%. Conclusion While the MARD and Clark error showed reliable data, an additional SMBG during exercise may be required to support treatment decisions during exercise, especially when the people with type 1 diabetes are about to experience hypoglycemia or inject a significant dose of insulin.