Diabetes symptoms predictors of health-related quality of life in adolescents and young adults with type 1 or type 2 diabetes

The Burden of Type 1 and Type 2 Diabetes Among Adolescents and Young Adults in 24 Western European Countries, 1990-2019: Results From the Global Burden of Disease Study 2019

Objectives: As little is known about the burden of type 1 (T1DM) and type 2 diabetes (T2DM) in adolescents in Western Europe (WE), we aimed to explore their epidemiology among 10-24 year-olds. Methods: Estimates were retrieved from the Global Burden of Diseases Study (GBD) 2019. We reported counts, rates per 100,000 population, and percentage changes from 1990 to 2019 for prevalence, incidence and years lived with disability (YLDs) of T1DM and T2DM, and the burden of T2DM in YLDs attributable to high body mass index (HBMI), for 24 WE countries. Results: In 2019, prevalence and disability estimates were higher for T1DM than T2DM among 10-24 years old adolescents in WE. However, T2DM showed a greater increase in prevalence and disability than T1DM in the 30 years observation period in all WE countries. Prevalence increased with age, while only minor differences were observed between sexes. Conclusion: Our findings highlight the substantial burden posed by DM in WE among adolescents. Health system responses are needed for transition services, data collection systems, education, and obesity prevention.

Declining Frequency of Acute Complications Associated with Tubeless Insulin Pump Use: Data from 2,911 Patients in the German/Austrian Diabetes Patienten Verlaufsdokumentation Registry

Objective: To characterize patients with diabetes treated with a tubeless insulin pump (Omnipod^® Insulin Management System; Insulet Corp., Acton, MA), and to evaluate the frequency of acute complications with long-term use of the system. Methods: This retrospective analysis of the German/Austrian Diabetes Patienten Verlaufsdokumentation (DPV) registry included data from 3657 patients with diabetes (n = 3582 type 1, n = 25 type 2, n = 50 latent autoimmune diabetes in adults/other) treated with a tubeless insulin pump. Hemoglobin A1c (HbA1c) levels and frequency of diabetic ketoacidosis (DKA) and severe hypoglycemia (SH) were compared between 1 year pre- and 1 year (n = 2911) or up to 3 years (n = 1311) post-tubeless insulin pump initiation and compared with a contemporary cohort on multiple daily injections (MDI) with 3-year data (n = 1874). Results: Patients using tubeless insulin pump therapy had a median age of 13.7 years [interquartile range 10.8, 17.3], diabetes duration 3.7 years [1.7, 8.0], and HbA1c 7.5% [6.9, 8.2]. In patients with 3 years of follow-up data (n = 1311), the percentage with ≥1 episode of DKA, SH (Level 3, requiring assistance), and SH (coma) event with prior treatment was 6.3%, 5.5%, and 1.7%, respectively. After 3 years of tubeless insulin pump therapy, the frequency of DKA, SH (Level 3), and SH (coma) decreased to 2.2%, 4.1%, and 0.5%, respectively. Both DKA and SH remained significantly lower compared with MDI after adjustment in multiple regression analysis. High treatment retention rates (>90%) were observed. Conclusion: Real-world registry data document that tubeless insulin pump therapy is associated with good glycemic control and a low frequency of DKA and SH in an age group prone to acute complications.

Prediction of Hypoglycemia By Quality of Life Measures: A Retrospective Analysis of Electronically Patient-Reported Data

OBJECTIVE

We aimed to examine the utility of electronically patient-reported data (e-PRD) in exploring the risk of diabetes-related hypoglycemia and to evaluate hypoglycemia prediction by the quality of life (QoL) measures.

METHODS

A retrospective analysis of e-PRD for patients with diabetes mellitus who completed the American Diabetes Association's Low Blood Sugar Questionnaire (Hypo-Q) and the Patient-Reported Outcomes Measurement Information System (PROMIS) for QoL assessment. Associations between Hypo-Q answers and PROMIS scores were described using Spearman correlations and 95% confidence intervals, or medians and quartiles.

RESULTS

Records of 538 subjects were reviewed; 55% were female, 95% were non-Hispanic, with a mean age (± SD) of 53 ± 15 years. Patients with type 1 diabetes had a longer disease duration and more hypoglycemic episodes (P<.001) with higher PROMIS Physical and Mental T-scores (P<.001, both), when compared to patients with type 2 diabetes. The latter had a higher number of co-existing conditions. Having >5 episodes of either moderate or severe hypoglycemia in a year were reported by 18% and 5% of all patients, respectively. Mean PROMIS Physical and Mental health T-scores were 46 ± 10 and 47 ± 10, respectively. Patients with fewer moderate and severe hypoglycemic episodes had better Physical (P = .047 and P<.001) and Mental (P = .015 and P<.001) PROMIS T-scores with incremental decreases in the odds of hypoglycemia with each point increase in PROMIS T-scores.

CONCLUSION

e-PRD of QoL measures and Hypo-Q were effective in exposing the risks for hypoglycemia and reproducing published findings with significant associations between QoL measures and hypoglycemia risks while providing new insights.

The impact of type 1 diabetes on young adults' health-related quality of life

BACKGROUND

Young adulthood is a challenging period for people with diabetes mellitus type 1 (T1DM) as they are facing multiple life transitions while managing a demanding disease. This poses a risk for impaired health-related quality of life (HRQOL). We assessed HRQOL in a cohort of young adults with T1DM in the Netherlands, and compared outcomes with those of Dutch norm groups of healthy young adults and young adults with a chronic disease.

METHODS

We analyzed data collected in a larger evaluation study on transitional care for young adults with T1DM in a nationwide sample in the Netherlands, including twelve participating hospitals. These data had been obtained from online questionnaires completed by young adults with T1DM after they had transferred to adult care. HRQOL was self-reported with the Pediatric Quality of Life Inventory for young adults (PedsQL-YA).

RESULTS

One hundred and sixty-five young adults with T1DM participated (44.2% response); and they scored significantly worse than did healthy peers on all domains of HRQOL, except social functioning. Particularly, functioning at school or work was worse than that of the norm group. The study group's HRQOL-scores were comparable to norm scores of young adults with chronic diseases, although the physical and social functioning of young people with T1DM was better. One quarter (26.1%) of all young adults with T1DM reported fatigue.

CONCLUSIONS

During transition to adulthood, young adults with T1DM struggle to maintain a balance between the demands of managing a disease and their life. Many of them encounter problems at work or school, and suffer from fatigue. These findings underscore the need to regularly assess HRQOL, and to discuss work- and education-related issues in clinical practice.

Diabetes management mediating effects between diabetes symptoms and health-related quality of life in adolescents and young adults with type 1 diabetes

OBJECTIVES

The primary objective was to investigate the mediating effects of diabetes management in the relationship between diabetes symptoms and generic health-related quality of life (HRQOL) in adolescents and young adults (AYAs) with type 1 diabetes. The secondary objective explored patient health communication and perceived treatment adherence barriers as mediators in a serial multiple mediator model.

METHODS

The PedsQL 3.2 Diabetes Module 15-item diabetes symptoms summary score, 18-item diabetes management summary score, and PedsQL 4.0 generic core scales were completed in a 10-site national field test study by 418 AYA aged 13 to 25 years with type 1 diabetes. Diabetes symptoms and diabetes management were tested for bivariate and multivariate linear associations with overall generic HRQOL. Mediational analyses were conducted to test the hypothesized mediating effects of diabetes management as an intervening variable between diabetes symptoms and generic HRQOL.

RESULTS

The predictive effects of diabetes symptoms on HRQOL were mediated in part by diabetes management. In predictive analytics models utilizing multiple regression analyses, demographic and clinical covariates, diabetes symptoms, and diabetes management significantly accounted for 53% of the variance in generic HRQOL (P < 0.001), demonstrating a large effect size. Patient health communication and perceived treatment adherence barriers were significant mediators in an exploratory serial multiple mediator model.

CONCLUSIONS

Diabetes management explains in part the effects of diabetes symptoms on HRQOL in AYA with type 1 diabetes. Patient health communication to healthcare providers and perceived treatment adherence barriers further explain the mechanism in the relationship between diabetes symptoms and overall HRQOL.