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 hemoglobinA1c 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.
RCT Entities:
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.
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
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
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
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