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Memorias de investigación
Artículos en revistas:
A Telemedicine System that Includes a Personal Assistant Improves Glycemic Control in Pump Treated Patients with Type 1 Diabetes
Año:2007
Áreas de investigación
  • Telemática
Datos
Descripción
Background: The DIABTel system, a web-based telemedicine application, integrates a whole communication system (glucometer, insulin pump, wireless hand-held assistant) for medical remote advice. We sought to evaluate, in terms of glycemic control, the DIABTel system in a randomized cross-over clinical study. Methods: Ten patients with type 1 diabetes (5 women, age 40.6 (21-62) years, diabetes duration 14.7 (3-52) years) were included. During the 4-weeks active phase, data sent by patients were analyzed by the physician and modifications of the basal rate and bolus were advised in the following 24 hours. During the control phase patients sent glucose data without any feed-back from the medical center. Results: The mean number of daily glucose values and bolus sent by patients during the active period were 4,46 ±0,91 and 4,58 ± 0,89, respectively. The PDA (Personal Digital Assistant) functionalities used more frequently by patients were (times per week): data visualization (8,1 ± 6,8), data download from the insulin pump (6,8 ± 3,3) and synchronization with the Telemedicine Server (8,5 ± 4,9). After the experimental phase, serum fructosamine decreased significantly (393± 32 vs. 366± 25 umol/L; p<0.05) and HbA1c tended to decrease (8.0 ± 0.6 vs. 7.78 ± 0.6; p=0.073) while no changes were observed during the control phase. The number of treatment modifications proposed and performed by the patients correlated with the change observed in HbA1c during the active phase. (r=-0.729, p=0.017). Conclusions: The DIABTel system, a telemedicine system that includes a wireless personal assistant for remote treatment advising, allows better glycemic control in pump treated patients with type 1 diabetes. To our knowledge this is the first study that demonstrates improved glycemic control with the use of a telemedicine system that incorporates insulin delivery data.
Internacional
Si
JCR del ISI
No
Título de la revista
Journal of Diabetes Science and Technology
ISSN
1932-2968
Factor de impacto JCR
0
Información de impacto
Volumen
1
DOI
Número de revista
4
Desde la página
505
Hasta la página
510
Mes
JULIO
Ranking
Esta actividad pertenece a memorias de investigación
Participantes
  • autor: Agustina Prados
  • autor: Mercedes Rigla
  • autor: Luisa Erdozain
  • Autor: Maria Elena Hernando Perez (UPM)
  • Autor: Verónica Torralba Piqueras (UPM)
  • autor: Alberto de Leiva
  • autor: Eulalia Brugués,
  • Autor: Enrique Javier Gomez Aguilera (UPM)
  • autor: Joana Vilaverde
  • Autor: Gema Garcia Saez (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Bioingeniería y Telemedicina
  • Departamento: Tecnología Fotónica
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