Publications by authors named "Alejandro Jose Laguna Sanz"
This study aimed to evaluate the accuracy of Dexcom G6 (DG6) and FreeStyle Libre-2 (FSL2) during aerobic training and high-intensity interval training (HIIT) in individuals with type 1 diabetes. Twenty-six males (mean age 29.3 ± 6.
View Article and Find Full Text PDFContinuous Glucose Monitoring (CGM) has been a springboard of new diabetes management technologies such as integrated sensor-pump systems, the artificial pancreas, and more recently, smart pens. It also allows patients to make better informed decisions compared to a few measurements per day from a glucometer. However, CGM accuracy is reportedly affected during exercise periods, which can impact the effectiveness of CGM-based treatments.
View Article and Find Full Text PDFBackground: Postbariatric hypoglycemia (PBH) can threaten safety and reduce quality of life. Current therapies are incompletely effective.
Methods: Patients with PBH were enrolled in a double-blind, placebo-controlled, crossover trial to evaluate a closed-loop glucose-responsive automated glucagon delivery system designed to reduce severe hypoglycemia.
Article Synopsis
- Current Continuous Glucose Monitors (CGMs) are less accurate during aerobic exercise, leading to higher estimation errors.
- Researchers explored using data from three different wearable devices to improve CGM accuracy during physical activity.
- A two-input linear regression model, incorporating "Mets" from Fitbit and skin temperature from Microsoft Band, significantly reduced CGM error to baseline levels, while a simpler one-input model using just "Mets" is also feasible for immediate use.