Exercise and glycemic imbalances: a situation-specific estimate of glucose supplement.
OBJECTIVE
The purposes of this study were to describe a newly developed algorithm that estimates the glucose supplement on a patient- and situation-specific basis and to test whether these amounts would be appropriate for maintaining blood glucose levels within the recommended range in exercising type 1 diabetic patients.


METHODS
The algorithm first estimates the overall amount of glucose oxidized during exercise on the basis of the patient's physical fitness, exercise intensity, and duration. The amount of supplemental CHO to be consumed before or during the effort represents a fraction of the burned quantity depending on the patient's usual therapy and insulin sensitivity and on the time of day the exercise is performed. The algorithm was tested in 27 patients by comparing the estimated amounts of supplemental CHO with the actual amounts required to complete 1-h constant-intensity walks. Each patient performed three trials, each of which started at different time intervals after insulin injection (81 walks were performed overall). Glycemia was tested every 15 min.


RESULTS
In 70.4% of the walks, independent of the time of day, the amount of CHO estimated by the algorithm would be adequate to allow the patients to complete the exercise with a glucose level within the selected thresholds (i.e., 3.9-10 mmol·L(-1)).


CONCLUSIONS
The algorithm provided a satisfactory estimate of the CHO needed to complete the exercises. Although the performance of the algorithm still requires testing for different exercise intensities, durations, and modalities, the results indicate its potential usefulness as a tool for preventing immediate exercise-induced glycemic imbalances (i.e., during exercise) in type 1 diabetic patients, in particular for spontaneous physical activities not planned in advance, thus allowing all insulin-dependent patients to safely enjoy the benefits of exercise.
Francescato
Maria Pia
MP
Department of Biomedical Sciences and Technologies, University of Udine, Italy. maria.francescato@uniud.it
Geat
Mario
M
Accardo
Agostino
A
Blokar
Marco
M
Cattin
Luigi
L
Noacco
Claudio
C
D000328:Adult; D000465:Algorithms; D001786:Blood Glucose / Q000032:analysis; D003661:Decision Support Techniques; D003922:Diabetes Mellitus, Type 1 / Q000097:blood / Q000188:drug therapy* / Q000378:metabolism*; D019587:Dietary Supplements; D015444:Exercise / Q000502:physiology*; D005260:Female; D005947:Glucose / Q000008:administration & dosage*; D006801:Humans; D007003:Hypoglycemia / Q000517:prevention & control*; D007328:Insulin / Q000008:administration & dosage / Q000627:therapeutic use; D008297:Male; D008875:Middle Aged
D001786:Blood Glucose; D007328:Insulin; D005947:Glucose