Predicting Factors Associated with Hypoglycemia Reduction with Automated Predictive Insulin Suspension in Patients at High Risk of Severe Hypoglycemia: An Analysis from the SMILE Randomized Trial
| Autor: | Aklilu Habteab, Ohad Cohen, Julien Da Silva, Simona de Portu, Javier Castañeda, John H. Shin, Harold W. de Valk, Sandrine Lablanche, Linda Vorrink-de Groot, Emanuele Bosi, Pratik Choudhary |
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| Přispěvatelé: | Habteab, A., Castaneda, J., De Valk, H., Choudhary, P., Bosi, E., Lablanche, S., De Portu, S., Da Silva, J., Vorrink-De Groot, L., Shin, J., Cohen, O. |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Adult
Blood Glucose Pediatrics medicine.medical_specialty endocrine system diseases Endocrinology Diabetes and Metabolism medicine.medical_treatment 030209 endocrinology & metabolism Hypoglycemia law.invention 03 medical and health sciences 0302 clinical medicine Endocrinology Diabetes mellitus Insulin Infusion Systems Randomized controlled trial law Medicine Humans Insulin In patient 030212 general & internal medicine Severe hypoglycemia Predictive low glucose management business.industry Blood Glucose Self-Monitoring nutritional and metabolic diseases medicine.disease Insulin infusion systems Medical Laboratory Technology Brief Reports business Type 1 |
| Zdroj: | Diabetes Technology & Therapeutics |
| ISSN: | 1557-8593 1520-9156 |
| Popis: | Background: This analysis from the SMILE randomized study was performed to identify predictive factors associated with the greatest reductions in hypoglycemia with the Medtronic MiniMed™ 640G Suspend before low feature in adults with type 1 diabetes at high risk of severe hypoglycemia. Methods: Clinical and treatment-related factors associated with decreased sensor hypoglycemia (SH) were identified in participants from the intervention arm by univariate and multivariate analyses. Results: The reduction in SH events |
| Databáze: | OpenAIRE |
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