Frequency of SMBG correlates with HbA1c and acute complications in children and adolescents with type 1 diabetes

Design of an mHealth app for the self-management of adolescent type 1 diabetes: a pilot study

Background

The use of mHealth apps has shown improved health outcomes in adult populations with type 2 diabetes mellitus. However, this has not been shown in the adolescent type 1 population, despite their predisposition to the use of technology. We hypothesized that a more tailored approach and a strong adherence mechanism is needed for this group.

Objective

To design, develop, and pilot an mHealth intervention for the management of type 1 diabetes in adolescents.

Methods

We interviewed adolescents with type 1 diabetes and their family caregivers. Design principles were derived from a thematic analysis of the interviews. User-centered design was then used to develop the mobile app bant. In the 12-week evaluation phase, a pilot group of 20 adolescents aged 12–16 years, with a glycated hemoglobin (HbA_1c) of between 8% and 10% was sampled. Each participant was supplied with the bant app running on an iPhone or iPod Touch and a LifeScan glucometer with a Bluetooth adapter for automated transfers to the app. The outcome measure was the average daily frequency of blood glucose measurement during the pilot compared with the preceding 12 weeks.

Results

Thematic analysis findings were the role of data collecting rather than decision making; the need for fast, discrete transactions; overcoming decision inertia; and the need for ad hoc information sharing. Design aspects of the resultant app emerged through the user-centered design process, including simple, automated transfer of glucometer readings; the use of a social community; and the concept of gamification, whereby routine behaviors and actions are rewarded in the form of iTunes music and apps. Blood glucose trend analysis was provided with immediate prompting of the participant to suggest both the cause and remedy of the adverse trend. The pilot evaluation showed that the daily average frequency of blood glucose measurement increased 50% (from 2.4 to 3.6 per day, P = .006, n = 12). A total of 161 rewards (average of 8 rewards each) were distributed to participants. Satisfaction was high, with 88% (14/16 participants) stating that they would continue to use the system. Demonstrating improvements in HbA_1c will require a properly powered study of sufficient duration.

Conclusions

This mHealth diabetes app with the use of gamification incentives showed an improvement in the frequency of blood glucose monitoring in adolescents with type 1 diabetes. Extending this to improved health outcomes will require the incentives to be tied not only to frequency of blood glucose monitoring but also to patient actions and decision making based on those readings such that glycemic control can be improved.

Effectiveness of sensor-augmented pump therapy in children and adolescents with type 1 diabetes in the STAR 3 study

OBJECTIVE

Maintenance of appropriate A1C values and minimization of hyperglycemic excursions are difficult for many pediatric patients with type 1 diabetes. Continuous glucose monitoring (CGM) sensor-augmented pump (SAP) therapy is an alternative to multiple daily injection (MDI) therapy in this population.

RESEARCH DESIGN AND METHODS

Sensor-augmented pump therapy for A1C reduction (STAR 3) was a 1-yr trial that included 82 children (aged 7-12) and 74 adolescents (aged 13-18) with A1C values ranging from 7.4 to 9.5% who were randomized to either SAP or MDI therapy. Quarterly A1C values were obtained from all subjects. CGM studies were carried out at baseline, 6 months, and 12 months to quantify glycemic excursions [calculated as area under the glucose concentration-time curve (AUC)] and variability. In the SAP group, sensor compliance was recorded.

RESULTS

Baseline A1C values were similar in subjects randomized to the SAP (8.26 ± 0.55%) and MDI groups (8.30 ± 0.53%). All subsequent A1C values showed significant (p < 0.05) treatment group differences favoring SAP therapy. Compared with the MDI group, subjects in the SAP group were more likely to meet age-specific A1C targets and had lower AUC values for hyperglycemia with no increased risk of hypoglycemia. Glucose variability improved in the SAP group compared to the MDI group. Children wore CGM sensors more often and were more likely to reach age-specific A1C targets than adolescents.

CONCLUSIONS

SAP therapy allows both children and adolescents with marginally or inadequately controlled type 1 diabetes to reduce A1C values, hyperglycemic excursions, and glycemic variability in a rapid, sustainable, and safe manner.

Basal rates and circadian profiles in continuous subcutaneous insulin infusion (CSII) differ for preschool children, prepubertal children, adolescents and young adults

OBJECTIVE

Initiation of continuous subcutaneous insulin therapy (CSII) requires an appropriate basal rate profile. Different approaches exist; however, there is a lack of evidence-based recommendations, especially in young children.

STUDY DESIGN

In this large multicenter survey, 5941 CSII patients from the German/Austrian prospective documentation system (DPV) were analyzed. Patients were divided into four age groups: <6 yr (n = 837), 6 to <12 yr (n = 1739), 12 to <18 yr (n = 2985) and 18 to <25 yr (n = 380). Basal insulin requirement and diurnal distribution were evaluated based on the most recent documentation for each patient.

RESULTS

Basal insulin requirement differed significantly between the four age groups (<6: 0.25 ± 0.12; 6 to <12: 0.33 ± 0.12; 12 to <18: 0.43 ± 0.15; 18 to <25: 0.35 ± 0.13 U/kg; p < 0.001). Circadian insulin profiles were markedly different between the younger and older age groups. In addition to age, longer diabetes duration, female gender, higher HbA1c and lower body mass index standard deviation score (BMI-SDS) were related to higher basal insulin requirement per kilogram of body weight.

CONCLUSIONS

Age of the patient is the primary factor that influences both total daily requirement and circadian distribution of basal insulin in CSII. Experience from a large database may therefore facilitate the initiation of pump therapy in pediatric patients.

Assessment of metabolic control among patients in a capillary glucose self-monitoring program

OBJECTIVE: To assess the metabolic control of diabetes mellitus patients registered in a capillary glucose self-monitoring program at home. METHODS: In this longitudinal retrospective study, 97 subjects at four health institutions in a Brazilian city were followed during 37 months between 2005 and 2008. The health files were analyzed of patients selected to register the evolution of variables related to capillary glucose self-monitoring at home and metabolic control of diabetes mellitus. RESULTS: During the assessment, both mean and monthly percentages of capillary blood glucose measurements at home decreased from 34.1 (65.1%) to 33.6 (64.8%), respectively (p <0.001). Mean HbA1c levels dropped from 9.20% to 7.94% (p<0.001). HDL cholesterol decreased from 51 mg/dl to 47 mg/dl (p=0.001). CONCLUSION: Patients' metabolic control improved, characterized by a significant reduction in HbA1C.

Caregiver reports of provider recommended frequency of blood glucose monitoring and actual testing frequency for youth with type 1 diabetes

AIMS

To identify demographic, family and clinical characteristics associated with provider recommended frequency of blood glucose monitoring (BGM), actual frequency of BGM, and concordance between these categories in youth with type 1 diabetes (T1D) as reported by child's caregiver.

METHODS

Caregivers of 390 children 10-17 years were interviewed about their children's providers' recommendations for frequency of BGM and their child's frequency of performance of BGM.

RESULTS

The majority (92%) of caregivers reported being told that their child should BGM ≥4 times per day and 78% reported their child checked that frequently. Caregivers of children who were younger, non-Hispanic White, from two-parent households, higher income households, and on insulin pumps were more likely to report being told by their provider to perform BGM ≥6 times per day and more likely to report that their child performed BGM ≥6 times per day. Younger children and those with private health insurance were more likely to adhere to reported recommendations. Children whose caregivers reported that their child met/exceeded their provider recommendations had lower A1c values than those who did not.

CONCLUSIONS

These findings may help clinicians identify subgroups of youth at-risk for poor diabetes management and provide further education in order to improve outcomes.

Improved metabolic control in children and adolescents with type 1 diabetes: a trend analysis using prospective multicenter data from Germany and Austria

OBJECTIVE

To investigate the temporal trend of metabolic control and potential predictors in German and Austrian children and adolescents with type 1 diabetes.

RESEARCH DESIGN AND METHODS

This study is based on a large, multicenter database for prospective longitudinal documentation of diabetes care in Germany and Austria. Data from 30,708 patients documented in 305 diabetes centers between 1995 and 2009 were analyzed. Generalized linear mixed regression models were used to adjust trend analysis for relevant confounders.

RESULTS

Unadjusted mean HbA(1c) decreased from 8.7 ± 1.8% in 1995 to 8.1 ± 1.5% in 2009. In multiple regression analysis, treatment year, age, sex, diabetes duration, migration background, BMI-SDS, and daily insulin dose were significant predictors of metabolic control (P < 0.001). After multiple adjustment, mean HbA(1c) decreased significantly by 0.038% per year (95% CI 0.032-0.043%), average odds ratio (OR) per year for HbA(1c) >7.5% (>9.0%) was 0.969 (95% CI 0.961-0.977) (0.948, 95% CI 0.941-0.956). Intensified insulin regimen was associated with lower frequency of poor metabolic control (HbA(1c) >9%; P = 0.005) but not with average HbA(1c) (P = 0.797). Rate of severe hypoglycemia and hypoglycemic coma decreased significantly (relative risk [RR] per year 0.948, 95% CI 0.918-0.979; RR 0.917, 95% CI 0.885-0.950) over the study period. Diabetic ketoacidosis rate showed no significant variation over time.

CONCLUSIONS

This study showed a significant improvement in metabolic control in children and adolescents with type 1 diabetes during the past decade and a simultaneous decrease in hypoglycemic events. The improvement was not completely explained by changes in the mode of insulin treatment. Other factors such as improved patient education may have accounted for the observed trend.

Psychosocial family factors and glycemic control among children aged 1-15 years with type 1 diabetes: a population-based survey

Background

Being the parents of children with diabetes is demanding. Jay Belsky's determinants of parenting model emphasizes both the personal psychological resources, the characteristics of the child and contextual sources such as parents' work, marital relations and social network support as important determinants for parenting. To better understand the factors influencing parental functioning among parents of children with type 1 diabetes, we aimed to investigate associations between the children's glycated hemoglobin (HbA_1c) and 1) variables related to the parents' psychological and contextual resources, and 2) frequency of blood glucose measurement as a marker for diabetes-related parenting behavior.

Methods

Mothers (n = 103) and fathers (n = 97) of 115 children younger than 16 years old participated in a population-based survey. The questionnaire comprised the Life Orientation Test, the Oslo 3-item Social Support Scale, a single question regarding perceived social limitation because of the child's diabetes, the Relationship Satisfaction Scale and demographic and clinical variables. We investigated associations by using regression analysis. Related to the second aim hypoglycemic events, child age, diabetes duration, insulin regimen and comorbid diseases were included as covariates.

Results

The mean HbA_1c was 8.1%, and 29% had HbA_1c ≤ 7.5%. In multiple regression analysis, lower HbA_1c was associated with higher education and stronger perceptions of social limitation among the mothers. A higher frequency of blood glucose measurement was significantly associated with lower HbA_1c in bivariate analysis. Higher child age was significantly associated with higher HbA_1c both in bivariate and multivariate analysis. A scatterplot indicated this association to be linear.

Conclusions

Most families do not reach recommended treatment goals for their child with type 1 diabetes. Concerning contextual sources of stress and support, the families who successfully reached the treatment goals had mothers with higher education and experienced a higher degree of social limitations because of the child's diabetes. The continuous increasing HbA_1c by age, also during the years before puberty, may indicate a need for further exploring the associations between child characteristics, context-related variables and parenting behavior such as factors facilitating the transfer of parents' responsibility and motivation for continued frequent treatment tasks to their growing children.

Recent advances in the prevention of hypoglycemia in type 1 diabetes

Iatrogenic hypoglycemia is one of the chief barriers to optimal glycemic control in people with type 1 diabetes (T1D). As a common contributor to morbidity and mortality in T1D, severe hypoglycemia (SH) is also a major fear for people with T1D and their families. Consequently, fear of hypoglycemia and hypoglycemia-avoidant behaviors are predominant limiting factors in achieving euglycemia in people with T1D. Nocturnal SH and hypoglycemia unawareness are prevalent obstacles in the detection of hypoglycemia which further impair the prevention and treatment of SH. Various strategies and technologies have already been developed to help detect and prevent hypoglycemia, including improved patient education, frequent self-monitoring of blood glucose levels, the use of rapid-acting and basal insulin analogs, continuous subcutaneous insulin infusion therapy, exercise-related insulin modifications, and continuous glucose monitors. The efficacy of these methods is well established, but further advances are still needed. The purpose of this review is to describe these currently available methods and to emphasize recent progress related to the prevention of hypoglycemia in T1D.

Management of diabetes mellitus in infants

Diabetes mellitus diagnosed during the first 2 years of life differs from the disease in older children regarding its causes, clinical characteristics, treatment options and needs in terms of education and psychosocial support. Over the past decade, new genetic causes of neonatal diabetes mellitus have been elucidated, including monogenic β-cell defects and chromosome 6q24 abnormalities. In patients with KCNJ11 or ABCC8 mutations and diabetes mellitus, oral sulfonylurea offers an easy and effective treatment option. Type 1 diabetes mellitus in infants is characterized by a more rapid disease onset, poorer residual β-cell function and lower rate of partial remission than in older children. Insulin therapy in infants with type 1 diabetes mellitus or other monogenic causes of diabetes mellitus is a challenge, and novel data highlight the value of continuous subcutaneous insulin infusion in this very young patient population. Infants are entirely dependent on caregivers for insulin therapy, nutrition and glucose monitoring, which emphasizes the need for appropriate education and psychosocial support of parents. To achieve optimal long-term metabolic control with low rates of acute and chronic complications, continuous and structured diabetes care should be provided by a multidisciplinary health-care team.

Does blood glucose monitoring increase prior to clinic visits in children with type 1 diabetes?

OBJECTIVE

To assess the occurrence of white coat adherence in families with children who have type 1 diabetes.

RESEARCH DESIGN AND METHODS

Blood glucose data were downloaded from meters of 72 children, aged 2-11 years, with type 1 diabetes at four consecutive clinic visits. Generalized estimating equations were used to analyze patterns of blood glucose monitoring (BGM) during the 28 days before each clinic visit.

RESULTS

More frequent BGM was associated with better glycemic control. Evidence of a white coat adherence effect, with BGM frequency increasing before a clinic visit, was found only among children with low A1C levels.

CONCLUSIONS

Highly motivated families who frequently monitor their child's blood glucose increased the frequency of BGM before the child's clinic visit. The additional monitoring may benefit the child by providing the physician with a wealth of blood glucose information to guide recommendations.

Performance of the DIDGET blood glucose monitoring system in children, teens, and young adults

BACKGROUND

This study evaluated the performance of the DIDGET® blood glucose monitoring system (BGMS) in the hands of its intended users: children, teens, and young adults with diabetes.

METHODS

Finger stick capillary blood samples were tested in duplicate by subjects (with parent/guardian assistance, if needed) and health care professionals using the DIDGET BGMS, and results were compared with those obtained using a Yellow Springs Instruments (YSI) glucose analyzer. Modified venous blood samples (i.e., glycolyzed or spiked with glucose) were used to analyze meter performance under extreme glucose concentrations. Accuracy was assessed using International Organization for Standardization (ISO) 15197:2003 guidelines (i.e., 95% of meter results within ±15 mg/dl or ±20% of reference values).

RESULTS

A total of 123 subjects aged 4 to 24 years with type 1 or type 2 diabetes were enrolled. The DIDGET meter achieved accuracy according to ISO 15197:2003 criteria: >97% of meter results were within ±15 mg/dl or ±20% of reference values. Regression analyses showed a high degree of correlation between meter and YSI results: coefficient of determination (R(2)) = 98.2% for all samples combined and 97.2% for capillary samples only. Clinical accuracy for combined samples was demonstrated by Parkes consensus error grid analyses; 100% of meter results were in zone A (98.5%) or zone B (1.5%). There was no difference in performance or accuracy across age subsets. Hematocrit values did not affect meter blood glucose results.

CONCLUSION

The DIDGET BGMS provided accurate test results across all age ranges in children, teens, and young adults with diabetes.