Literature DB >> 18473693

Real-time continuous glucose monitoring together with telemedical assistance improves glycemic control and glucose stability in pump-treated patients.

Mercedes Rigla1, M Elena Hernando, Enrique J Gómez, Eulalia Brugués, Gema García-Sáez, Ismael Capel, Belén Pons, Alberto de Leiva.   

Abstract

BACKGROUND: Real-time continuous glucose monitoring (CGM) has recently been incorporated into routine diabetes management because of the potential advantages it offers for glycemic control. The aim of our study was to evaluate the impact of the use of real-time CGM together with a telemedicine system in hemoglobin A1c and glucose variability in patients with type 1 diabetes treated with insulin pumps.
METHODS: Ten patients (five women, 41.2 [range, 21-62] years old, duration of diabetes 14.9 [range, 3-52] years) were included in this randomized crossover study. Patients used the DIABTel telemedicine system throughout the study, and real-time CGM was used for 3 days every week during the intervention phase. At the end of the control phase, a blind 3-day CGM was performed. Glucose variability was evaluated using the Glucose Risk Index (GRI), a comparative analysis of continuous glucose values over two consecutive hours.
RESULTS: Hemoglobin A1c decreased significantly (8.1 +/- 1.1% vs. 7.3 +/- 0.8%; P = 0.007) after the intervention phase, while no changes were observed during the control phase. The mean number of daily capillary glucose readings was higher during the intervention phase (4.7 +/- 1.1 vs. 3.8 +/- 1.0; P < 0.01), because of an increase in random analyses (1.22 +/- 0.3 vs. 0.58 +/- 0.1; P < 0.01), and there was also a significant increase in the mean number of bolus doses per day (5.23 +/- 1.1 vs. 4.4 +/- 0.8; P < 0.05). The GRI was higher during the control phase than during the experimental phase (9.6 vs. 6.25; P < 0.05).
CONCLUSIONS: Real-time CGM in conjunction with the DIABTel system improves glycemic control and glucose stability in pump-treated patients with type 1 diabetes.

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Year:  2008        PMID: 18473693     DOI: 10.1089/dia.2007.0273

Source DB:  PubMed          Journal:  Diabetes Technol Ther        ISSN: 1520-9156            Impact factor:   6.118


  10 in total

1.  Definition of information technology architectures for continuous data management and medical device integration in diabetes.

Authors:  M Elena Hernando; Mario Pascual; Carlos H Salvador; Gema García-Sáez; Agustín Rodríguez-Herrero; Iñaki Martínez-Sarriegui; Enrique J Gómez
Journal:  J Diabetes Sci Technol       Date:  2008-09

Review 2.  Smart telemedicine support for continuous glucose monitoring: the embryo of a future global agent for diabetes care.

Authors:  Mercedes Rigla
Journal:  J Diabetes Sci Technol       Date:  2011-01-01

Review 3.  The Role of Retinal Imaging and Portable Screening Devices in Tele-ophthalmology Applications for Diabetic Retinopathy Management.

Authors:  Delia Cabrera DeBuc
Journal:  Curr Diab Rep       Date:  2016-12       Impact factor: 4.810

4.  Automatic data processing to achieve a safe telemedical artificial pancreas.

Authors:  M Elena Hernando; Gema García-Sáez; Iñaki Martínez-Sarriegui; Agustín Rodríguez-Herrero; Carmen Pérez-Gandía; Mercedes Rigla; Alberto de Leiva; Ismael Capel; Belén Pons; Enrique J Gómez
Journal:  J Diabetes Sci Technol       Date:  2009-09-01

5.  Real-Time Monitoring of a Protein Biomarker.

Authors:  Claudio Parolo; Andrea Idili; Gabriel Ortega; Andrew Csordas; Alex Hsu; Netzahualcóyotl Arroyo-Currás; Qin Yang; Brian Scott Ferguson; Jinpeng Wang; Kevin W Plaxco
Journal:  ACS Sens       Date:  2020-07-13       Impact factor: 7.711

6.  How continuous monitoring changes the interaction of patients with a mobile telemedicine system.

Authors:  Iñaki Martínez-Sarriegui; Gema García-Sáez; Mercedes Rigla; Eulalia Brugués; Alberto de Leiva; Enrique J Gómez; Elena M Hernando
Journal:  J Diabetes Sci Technol       Date:  2011-01-01

Review 7.  Telemedicine for the Management of Glycemic Control and Clinical Outcomes of Type 1 Diabetes Mellitus: A Systematic Review and Meta-Analysis of Randomized Controlled Studies.

Authors:  Shaun W H Lee; Leanne Ooi; Yin K Lai
Journal:  Front Pharmacol       Date:  2017-05-30       Impact factor: 5.810

Review 8.  Telemetric Interventions Offer New Opportunities for Managing Type 1 Diabetes Mellitus: Systematic Meta-review.

Authors:  Claudia Eberle; Stefanie Stichling
Journal:  JMIR Diabetes       Date:  2021-03-16

9.  Telemedical artificial pancreas: PARIS (Pancreas Artificial Telemedico Inteligente) research project.

Authors:  Alberto de Leiva; María Elena Hernando; M Rigla; I Capel; E Brugués; B Pons; L Erdozain; A Prados; R Corcoy; E J Gómez; G García-Sáez; I Martínez-Sarriegui; A Rodríguez-Herrero; C Pérez-Gandía; F del Pozo
Journal:  Diabetes Care       Date:  2009-11       Impact factor: 19.112

Review 10.  Interactive telemedicine: effects on professional practice and health care outcomes.

Authors:  Gerd Flodgren; Antoine Rachas; Andrew J Farmer; Marco Inzitari; Sasha Shepperd
Journal:  Cochrane Database Syst Rev       Date:  2015-09-07
  10 in total

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