Literature DB >> 23289433

Impact of telemedicine assessment on glycemic variability in children with type 1 diabetes mellitus.

Nancy Villarreal Peña1, Marisa Torres, José Arnoby Chacón Cardona, Raquel Iniesta.   

Abstract

BACKGROUND: Experimental and in vitro studies have related glycemic variability (GV) with activation of oxidative stress, which could be involved in the micro- and macrovascular damage found in diabetes mellitus and in acute complications such as hypoglycemia. Some GV indexes are currently integrated in specialized Web sites for the analysis and assessment of diabetes patients through telemedicine. We aimed to identify the impact of telemedicine on metabolic control and GV in prepubescent patients with type 1 diabetes mellitus (T1DM). SUBJECTS AND METHODS: Eighty patients between 6 and 10 years old were eligible for enrollment. Participation was accepted by the parents of only 15 (18%) patients, of whom 13 (86%) completed the study. These 13 patients were assessed fortnightly for 3 months through Accu-Chek (Roche, Mannheim, Germany) Smart Pix software; this period was compared with a subsequent 4-month period without telemedical support. The variables analyzed were mean glycated hemoglobin (HbA1c), mean blood glucose (MBG), and indexes of GV (SD, low blood glucose index [LBGI], high blood glucose index [HBGI], and the average daily risk range [ADRR]). In both periods, the patients attended their regular appointments. The statistical analysis was carried out with nonparametric tests (the Wilcoxon and Friedman tests, P<0.017).
RESULTS: At the end of the assessment phase, mean HbA1c levels were significantly reduced (P=0.012) with no significant reductions in the LBGI (P=0.115), ADRR (P=0.552), or SD (P=0.700). No significant increases were observed in MBG (P=0.861) or the HBGI (P=0.807). HbA1c and the LBGI, ADRR, and SD indexes increased when telemedical assistance was suspended, whereas MBG and the HBGI showed a nonsignificant reduction.
CONCLUSIONS: Telemedical assessment for 3 months in children improved metabolic control, by reducing HbAlc values and, to a lesser extent, by decreasing GV, without increasing acute complications. Metabolic control was reduced when the advice was suspended.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23289433     DOI: 10.1089/dia.2012.0243

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


  6 in total

Review 1.  Average daily risk range as a measure for clinical research and routine care.

Authors:  Susana R Patton; Mark A Clements
Journal:  J Diabetes Sci Technol       Date:  2013-09-01

Review 2.  Improving type 1 diabetes management with mobile tools: a systematic review.

Authors:  Adam Peterson
Journal:  J Diabetes Sci Technol       Date:  2014-04-09

3.  Evaluation of the Average Daily Risk Range as a Measure of Glycemic Variability in Youths with Type 1 Diabetes.

Authors:  Susana R Patton; Stephen A DeLurgio; Mark A Clements
Journal:  Diabetes Technol Ther       Date:  2015-11       Impact factor: 6.118

4.  Cross-sectional study about the use of telemedicine for type 2 diabetes mellitus management in Spain: patient's perspective. The EnREDa2 Study.

Authors:  Patricia Rodríguez-Fortúnez; Josep Franch-Nadal; José A Fornos-Pérez; Fernando Martínez-Martínez; Hector David de Paz; María Luisa Orera-Peña
Journal:  BMJ Open       Date:  2019-06-22       Impact factor: 2.692

5.  Remote Patient Monitoring and Telemedicine in Neonatal and Pediatric Settings: Scoping Literature Review.

Authors:  Elise Davis; Farzan Sasangohar; Bita A Kash; Sohail R Shah
Journal:  J Med Internet Res       Date:  2018-12-20       Impact factor: 5.428

Review 6.  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
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.