Related factors associated with fear of hypoglycemia in parents of children and adolescents with type 1 diabetes - A systematic review

5. Facilitating Positive Health Behaviors and Well-being to Improve Health Outcomes: Standards of Care in Diabetes-2024

The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, an interprofessional expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

Comparative Analysis of Predictive Interstitial Glucose Level Classification Models

BACKGROUND

New methods of continuous glucose monitoring (CGM) provide real-time alerts for hypoglycemia, hyperglycemia, and rapid fluctuations of glucose levels, thereby improving glycemic control, which is especially crucial during meals and physical activity. However, complex CGM systems pose challenges for individuals with diabetes and healthcare professionals, particularly when interpreting rapid glucose level changes, dealing with sensor delays (approximately a 10 min difference between interstitial and plasma glucose readings), and addressing potential malfunctions. The development of advanced predictive glucose level classification models becomes imperative for optimizing insulin dosing and managing daily activities.

METHODS

The aim of this study was to investigate the efficacy of three different predictive models for the glucose level classification: (1) an autoregressive integrated moving average model (ARIMA), (2) logistic regression, and (3) long short-term memory networks (LSTM). The performance of these models was evaluated in predicting hypoglycemia (<70 mg/dL), euglycemia (70-180 mg/dL), and hyperglycemia (>180 mg/dL) classes 15 min and 1 h ahead. More specifically, the confusion matrices were obtained and metrics such as precision, recall, and accuracy were computed for each model at each predictive horizon.

RESULTS

As expected, ARIMA underperformed the other models in predicting hyper- and hypoglycemia classes for both the 15 min and 1 h horizons. For the 15 min forecast horizon, the performance of logistic regression was the highest of all the models for all glycemia classes, with recall rates of 96% for hyper, 91% for norm, and 98% for hypoglycemia. For the 1 h forecast horizon, the LSTM model turned out to be the best for hyper- and hypoglycemia classes, achieving recall values of 85% and 87% respectively.

CONCLUSIONS

Our findings suggest that different models may have varying strengths and weaknesses in predicting glucose level classes, and the choice of model should be carefully considered based on the specific requirements and context of the clinical application. The logistic regression model proved to be more accurate for the next 15 min, particularly in predicting hypoglycemia. However, the LSTM model outperformed logistic regression in predicting glucose level class for the next hour. Future research could explore hybrid models or ensemble approaches that combine the strengths of multiple models to further enhance the accuracy and reliability of glucose predictions.

Efficacy and safety of closed-loop control system for type one diabetes in adolescents a meta analysis

This meta-analysis compares the efficacy and safety of Closed-Loop Control (CLC) to Sensor-Augmented Insulin Pump (SAP) for adolescent patients with Type 1 Diabetes Mellitus (T1DM). Eleven randomized-controlled trials were included with a total of 570 patients, from a total of 869 articles found adhering to PRISMA guidelines. The efficacy of the therapies were evaluated from the day, night and during physical activities monitoring of the of the mean blood glucose (BG), Time In Range (TIR), and Standard Deviation (SD) of the glucose variability. The safety measure of the therapies, was assessed from the day and night recording of the hypoglycemic and hyperglycemic events occurred. Pooled results of comparison of mean BG values for day, night and physical activities, - 4.33 [- 6.70, - 1.96] (P = 0.0003), - 16.61 [- 31.68, - 1.54] (P = 0.03) and - 8.27 [- 19.52, 2.99] (P = 0.15). The monitoring for day, night and physical activities for TIR - 13.18 [- 19.18, - 7.17] (P < 0.0001), - 15.36 [- 26.81, - 3.92] (P = 0.009) and - 7.39 [- 17.65, 2.87] (P = 0.16). The day and night results of SD of glucose variability was - 0.40 [- 0.79, - 0.00] (P = 0.05) and - 0.86 [- 2.67, 0.95] (P = 0.35). These values shows the superiority of CLC system in terms of efficacy. The safety evaluation, of the day, night and physical activities observations of average blood glucose goal hypoglycemic events - 0.54 [- 1.86, 0.79] (P = 0.43), 0.04 [- 0.20, 0.27] (P = 0.77) and 0.00 [- 0.25, 0.25] (P = 1.00) and hyperglycemic events - 0.04 [- 0.20, 0.27] (P = 0.77), - 7.11 [- 12.77, - 1.45] (P = 0.01) and - 0.00 [- 0.10, 0.10] (P = 0.97), highlights the commendable safety factor of CLC. The CLC systems can be considered as an ideal preference in the management of adolescents with type 1 diabetes to be used during a 24 h basis.

The efficacy of interventions provided by nurses to improve glycemic control of children with type 1 diabetes: A systematic review

PURPOSE

Nurses have a very important role in diabetes education of children and adolescents, however, no systematic review has been performed that evaluates the effectiveness of the independent interventions of the nurses. This systematic review aims to identify and assess randomized controlled trials (RCT) that included interventions implemented by nurses to improve glycemic control for children and adolescents with type 1 diabetes.

ELIGIBILITY CRITERIA

PubMed, the Cochrane Central Register of Controlled Trials, Scopus, Web of Science, Science Direct databases were systematically searched up to 2022. Interventions provided by nurses for any child ≤18 years diagnosed with type 1 diabetes mellitus were included.

SAMPLE

Seven RCT articles met our review criteria.

RESULTS

All included studies were published between 2005 and 2021. Studies varied in terms of intervention type; telephone case management, coping skills training, motivational interview as well as home visit education programs. Interventions were found to significantly decrease the HbA1c level in three of seven studies.

CONCLUSIONS

Our systematic review suggests that nurses can improve the glycemic control of children with type 1 diabetes by conducting care interventions. According to current evidence, this study suggests that telephone contact by nurses and motivational interviewing can be beneficial in improving glycemic control in this population.

IMPLICATIONS

Nurses may encourage children and adolescents with diabetes to engage in self-management of their glucose levels. There is a need for more randomized controlled studies assessing the efficacy of nursing interventions for children with type 1 diabetes.

Health-related quality of life in parents of adolescents one year into the COVID-19 pandemic: a two-year longitudinal study

AIM

For many adults, their role as a parent is a vital part of their life that may influence their health-related quality of life (HRQOL) and vary with the age of their child. The aim of the present study was to describe and compare sociodemographic and psychological factors, pain and HRQOL in parents of adolescents assessed at baseline and 2 years later,-during the COVID-19 pandemic.

METHODS

A longitudinal study of 309 parents from the general Norwegian population was conducted. The parents were chosen based on their adolescent's school belonging and responded to a web-based questionnaire. We used data collected at baseline (T1), when the adolescents were aged 14-15 years (2018/2019), and two years later (T2), in 2021, when the COVID-19 pandemic was ongoing. The response rate was 55%. HRQOL was assessed using RAND-36. Data were analysed using McNemar tests, paired samples t-tests and multiple linear regression analyses.

RESULTS

Of the participants, 82% were mothers and 18% fathers. From T1 to T2, the average pain score increased, 1.6 (95% CI [-1,4; 1.8]) vs 1.8 (95% CI [1,6; 2.0]), the pain interference emotion score increased, 1.6 (95% CI [1.3; 1.9]) vs 1.8 (95% CI [1.5; 2.1]), and a larger proportion reported pain duration > 3 months (44% vs 50%, p = 0.014). The parents were more lonely, 12.8 (95% CI [12.3; 13.3]) vs 13.7 (95% CI [13.2; 14.2]), and reported lower RAND-36 mental component summary (MCS) scores, 52.2 (95% CI [51.3; 53.2]) vs 50.9 (95% CI [49.8; 52.0]). There were no significant associations between gender, sociodemographic factors, psychological factors, pain at T1 and changes in RAND-36 physical component summary (PCS). A positive change in MCS from T1 to T2 was predicted by working part time, B = 5.22 (95% CI [1.05; 9.38]) (ref no paid work) and older age, B = 0.24, (95%CI [-001; 0.42]), and there was a negative change with stress, B = -17.39, (95%CI [-27.42; -7.51]).

CONCLUSION

The parents experienced more pain and were lonelier, and more reported reduced mental HRQOL. However, the changes appear to be of limited clinical significance.