Effectiveness of SmartGuard Technology in the Prevention of Nocturnal Hypoglycemia After Prolonged Physical Activity
Language English Country United States Media print
Document type Comparative Study, Journal Article, Observational Study, Research Support, Non-U.S. Gov't
PubMed
28520532
DOI
10.1089/dia.2016.0459
Knihovny.cz E-resources
- Keywords
- Hypoglycemia, Physical activity, Predictive algorithm., Sensor-augmented pump therapy,
- MeSH
- Algorithms MeSH
- Monitoring, Ambulatory * adverse effects MeSH
- Child Behavior * MeSH
- Activities of Daily Living MeSH
- Exercise * MeSH
- Diabetes Mellitus, Type 1 blood diet therapy drug therapy metabolism MeSH
- Diet, Diabetic adverse effects MeSH
- Dietary Carbohydrates adverse effects metabolism MeSH
- Child MeSH
- Hyperglycemia prevention & control MeSH
- Hypoglycemia epidemiology etiology prevention & control MeSH
- Incidence MeSH
- Insulin Infusion Systems * adverse effects MeSH
- Combined Modality Therapy adverse effects MeSH
- Blood Glucose analysis MeSH
- Humans MeSH
- Adolescent MeSH
- Sports * MeSH
- Materials Testing MeSH
- Check Tag
- Child MeSH
- Humans MeSH
- Adolescent MeSH
- Male MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Observational Study MeSH
- Research Support, Non-U.S. Gov't MeSH
- Comparative Study MeSH
- Geographicals
- Czech Republic epidemiology MeSH
- Names of Substances
- Dietary Carbohydrates MeSH
- Blood Glucose MeSH
BACKGROUND: The prevention of postexercise nocturnal hypoglycemia after prolonged physical activity using sensor-augmented pump (SAP) therapy with predictive low-glucose management (PLGM) has not been well studied. We conducted a study at a pediatric diabetes camp to determine whether a SAP with PLGM reduces the frequency of nocturnal hypoglycemia after prolonged physical activity more effectively than a SAP with a carbohydrate intake algorithm. METHODS: During a 1-week sport camp, 20 children (aged 10-13 years) with type 1 diabetes (T1D) managed by SAP therapy either with (n = 7) or without PLGM (n = 13) were studied. The hypoglycemia management strategy and the continuous glucose monitoring (CGM)/PLGM settings were standardized. The incidence, severity, and duration of hypoglycemia and carbohydrate intake were documented and compared. RESULTS: The PLGM system was activated on 78% of all nights (once per night on average). No difference was found between the SAP and PLGM groups in the mean overnight glucose curve or mean morning glucose (7.8 ± 2 mmol/L vs. 7.4 ± 3 mmol/L). There was no difference in the frequency and severity of hypoglycemia. However, the SAP group consumed significantly more carbohydrates to prevent and treat hypoglycemia than those in the PLGM group; the values were 10 ± 2 and 1 ± 2 gS (P < 0.0001) in the SAP and PLGM groups, respectively. Moreover, the SAP group spent a significantly longer time in hypoglycemia (64 ± 2 min vs. 38 ± 2 min, P < 0.05). We observed a difference in the time distribution of nocturnal hypoglycemia (10 to 12 p.m. in the PLGM group and 3 to 7 a.m. in the SAP group, P < 0.05). CONCLUSION: With PLGM system, euglycemia after prolonged physical activity was largely maintained with a minimal carbohydrate intake.
3rd Department of Internal Medicine 1st Faculty of Medicine Charles University Prague Czech Republic
References provided by Crossref.org
