scholarly journals Short-term use of continuous glucose monitoring system adds to glycemic control in young type 1 diabetes mellitus patients in the long run: A clinical trial

2011 ◽  
Vol 68 (8) ◽  
pp. 650-654 ◽  
Author(s):  
Gordana Bukara-Radujkovic ◽  
Dragan Zdravkovic ◽  
Sinisa Lakic
Keyword(s):  
Diabetes Mellitus ◽  
Type 1 Diabetes ◽  
Blood Glucose ◽  
Glycemic Control ◽  
Type 1 Diabetes Mellitus ◽  
Glucose Monitoring ◽  
Control Group ◽  
Short Term ◽  
Experimental Group

Background/Aim. Balancing strict glycemic control with setting realistic goals for each individual child and family can optimize growth, ensure normal pubertal development and emotional maturation, and control long term complications in children with type 1 diabetes (T1DM). The aim of this study was to evaluate the efficacy of short-term continuous glucose monitoring system (CGMS) application in improvement of glycemic control in pediatric type 1 diabetes mellitus (T1DM) patients. Methods. A total of 80 pediatric T1DM patients were randomly assigned into the experimental and the control group. The experimental group wore CGMS sensor for 72 hours at the beginning of the study. Self-monitored blood glucose (SMBG) levels and hemoglobin A1c (HbA1c) levels were obtained for both groups at baseline, and at 3 and 6 months. Results. There was a significant improvement in HbA1c (p < 0.001), in both the experimental and the control group, without a significant difference between the groups. Nevertheless, after 6 months the improvement of mean glycemia was noticed only in the experimental group. This finding was accompanied with a decrease in the number of hyperglycemic events and no increase in the number of hypoglycemic events in the experimental group. Conclusions. The results suggest that the CGMS can be considered as a valuable tool in treating pediatric T1DM patients, however further research is needed to more accurately estimate to what extent, if any, it outperforms intensive self-monitoring of blood glucose.

scholarly journals Adherence to Insulin Pump Behaviors in Young Children With Type 1 Diabetes Mellitus

2016 ◽  
Vol 11 (1) ◽  
pp. 87-91 ◽  
Author(s):  
Susana R. Patton ◽  
Kimberly A. Driscoll ◽  
Mark A. Clements
Keyword(s):  
Diabetes Mellitus ◽  
Type 1 Diabetes ◽  
Blood Glucose ◽  
Glycemic Control ◽  
Young Children ◽  
Type 1 Diabetes Mellitus ◽  
Insulin Pump ◽  
Insulin Use

Background: Parents of young children are responsible for daily type 1 diabetes (T1DM) cares including insulin bolusing. For optimal insulin pump management, parents should enter a blood glucose result (SMBG) and a carbohydrate estimate (if food will be consumed) into the bolus advisor in their child’s pump to assist in delivering the recommended insulin bolus. Previously, pump adherence behaviors were described in adolescents; we describe these behaviors in a sample of young children. Methods: Pump data covering between 14-30 consecutive days were obtained for 116 children. Assessed adherence to essential pump adherence behaviors (eg, SMBG, carbohydrate entry, and insulin use) and adherence to 3 Wizard/Bolus Advisor steps: SMBG–carbohydrate entry–insulin bolus delivered. Results: Parents completed SMBG ≥4 times on 99% of days, bolused insulin ≥3 times on 95% of days, and entered carbohydrates ≥3 times on 93% of days, but they corrected for hyperglycemia (≥250 mg/dl or 13.9 mmol/l) only 63% of the time. Parents completed Wizard/Bolus Advisor steps (SMBG, carbohydrate entry, insulin bolus) within 30 minutes for 43% of boluses. Inverse correlations were found between children’s mean daily glucose and the percentage of days with ≥4 SMBG and ≥3 carbohydrate entries as well as the percentage of boluses where all Wizard/Bolus Advisor steps were completed. Conclusions: Parents of young children adhered to individual pump behaviors, but showed some variability in their adherence to Wizard/Bolus Advisor steps. Parents showed low adherence to recommendations to correct for hyperglycemia. Like adolescents, targeting pump behaviors in young children may have the potential to optimize glycemic control.

BLOOD GLUCOSE LEVEL NEURAL MODEL FOR TYPE 1 DIABETES MELLITUS PATIENTS

2011 ◽  
Vol 21 (06) ◽  
pp. 491-504 ◽  
Author(s):  
ALMA Y. ALANIS ◽  
BLANCA S. LEON ◽  
EDGAR N. SANCHEZ ◽  
EDUARDO RUIZ-VELAZQUEZ
Keyword(s):  
Diabetes Mellitus ◽  
Type 1 Diabetes ◽  
Blood Glucose ◽  
Blood Glucose Level ◽  
Type 1 Diabetes Mellitus ◽  
Glucose Level ◽  
Glucose Monitoring ◽  
Nonlinear Behavior ◽  
Neural Model

This paper deals with the blood glucose level modeling for Type 1 Diabetes Mellitus (T1DM) patients. The model is developed using a recurrent neural network trained with an extended Kalman filter based algorithm in order to develop an affine model, which captures the nonlinear behavior of the blood glucose metabolism. The goal is to derive a dynamical mathematical model for the T1DM as the response of a patient to meal and subcutaneous insulin infusion. Experimental data given by continuous glucose monitoring system is utilized for identification and for testing the applicability of the proposed scheme to T1DM subjects.

The influence of a program of structured diabetes education on the glycemic control and quality of life during transition of the patients with type 1 diabetes mellitus to insulin pump therapy with continuous real-time monitoring blood glucose leve

2014 ◽  
Vol 60 (1) ◽  
pp. 39-45
Author(s):  
L I Ibragimova ◽  
Yu I Philippov ◽  
A Yu Mayorov
Keyword(s):  
Quality Of Life ◽  
Diabetes Mellitus ◽  
Type 1 Diabetes ◽  
Glycemic Control ◽  
Type 1 Diabetes Mellitus ◽  
Diabetes Education ◽  
Well Being ◽  
Control Group

Aim of the study. To estimate the effectiveness of the new program of structured diabetes education for the groups of the patients with type 1 diabetes mellitus (DM1) during their transition to sensor-augmented pump (SAP) therapy in terms of improvement of the glycemic control and quality of life (QL). Material and methods. The study included 35 patients presenting with DM1: 14 men, mean age 26.5 years (24; 36). The patients were divided into two groups. Those in the study group received a structured diabetes education (n=19), those in the control group were given conventional education (n=16). The patients of group 1 were transferred to SAP therapy in the framework of group education based on the specialized structured program. The education of control patients was carried out on an individual basis in the previous period at the places of residence. Quality of life and emotional well-being were estimated with the use of the validated Russian versions of the SF-36, ADDQoL, and WB-Q12 questionnaires. The effectiveness of glycemic control and QL were evaluated within 4 months after the completion of education and transition to SAP. Results. The patients of both groups were not initially different in the HbA1c level: 8.1 (8.0; 9.2) versus 8.8 (7.7; 9.0) (p>0.05). The HbA1c level: decreased in the two groups within 4 months after the initiation of SAP therapy: 7.3 (6.3; 7.8) versus 8.0 (6.3; 8.5) (p>0.05). The decrease was more pronounced in the group of the patients who received the structured diabetes education than in the control group (p=0.036). The patients transferred to SAP in the framework of the structured education program tended to have higher indices of QL and emotional well-being than the patients given the standard education. Conclusion. The use of the specialized structured program for the education for the groups of the patients with type 1 diabetes mellitus during transition to SAP therapy results not only in a more pronounced improvement of glycemic control indices but also in the positive changes of certain QL characteristics.

Targeting Blood Glucose Management in School Improves Glycemic Control in Children with Poorly Controlled Type 1 Diabetes Mellitus

2008 ◽  
Vol 153 (4) ◽  
pp. 575-578 ◽  
Author(s):  
Thanh M. Nguyen ◽  
Kimberly J. Mason ◽  
Cynthia G. Sanders ◽  
Parvin Yazdani ◽  
Rubina A. Heptulla
Keyword(s):  
Diabetes Mellitus ◽  
Type 1 Diabetes ◽  
Blood Glucose ◽  
Glycemic Control ◽  
Type 1 Diabetes Mellitus ◽  
Glucose Management
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