Baricitinib and ß-Cell Function in Patients with New-Onset Type 1 Diabetes.

BACKGROUND: Janus kinase (JAK) inhibitors, including baricitinib, block cytokine signaling and are effective disease-modifying treatments for several autoimmune diseases. Whether baricitinib preserves ß-cell function in type 1 diabetes is unclear. METHODS: In this phase 2, double-blind, randomized, placebo-controlled trial, we assigned patients with type 1 diabetes diagnosed during the previous 100 days to receive baricitinib (4 mg once per day) or matched placebo orally for 48 weeks. The primary outcome was the mean C-peptide level, determined from the area under the concentration-time curve, during a 2-hour mixed-meal tolerance test at week 48. Secondary outcomes included the change from baseline in the glycated hemoglobin level, the daily insulin dose, and measures of glycemic control assessed with the use of continuous glucose monitoring. RESULTS: A total of 91 patients received baricitinib (60 patients) or placebo (31 patients). The median of the mixed-meal-stimulated mean C-peptide level at week 48 was 0.65 nmol per liter per minute (interquartile range, 0.31 to 0.82) in the baricitinib group and 0.43 nmol per liter per minute (interquartile range, 0.13 to 0.63) in the placebo group (P = 0.001). The mean daily insulin dose at 48 weeks was 0.41 U per kilogram of body weight per day (95% confidence interval [CI], 0.35 to 0.48) in the baricitinib group and 0.52 U per kilogram per day (95% CI, 0.44 to 0.60) in the placebo group. The levels of glycated hemoglobin were similar in the two trial groups. However, the mean coefficient of variation of the glucose level at 48 weeks, as measured by continuous glucose monitoring, was 29.6% (95% CI, 27.8 to 31.3) in the baricitinib group and 33.8% (95% CI, 31.5 to 36.2) in the placebo group. The frequency and severity of adverse events were similar in the two trial groups, and no serious adverse events were attributed to baricitinib or placebo. CONCLUSIONS: In patients with type 1 diabetes of recent onset, daily treatment with baricitinib over 48 weeks appeared to preserve ß-cell function as estimated by the mixed-meal-stimulated mean C-peptide level. (Funded by JDRF International and others; BANDIT Australian New Zealand Clinical Trials Registry number, ACTRN12620000239965.).

Correlation between centre size, metabolic variation and mean HbA1c in major paediatric diabetes centres.

AIM: To exploit a relatively homogeneous national health care context and a national diabetes database to address the questions: Is there an optimal clinic/centre size in determining outcomes?; and Can improvement in median centre outcomes be driven by reducing variability in outcome? METHODS: Using the Australasian Diabetes Database Network, data from seven tertiary hospital paediatric diabetes clinics for patients with type one diabetes from Australia were recorded from 6-month uploads: September 2017, March 2018, September 2018 and March 2019. Data from 25 244 patient visits included demographic variables, HbA1C, number of patient visits and insulin regimens. RESULTS: There was no association between centre size and median HbA1C. On the other hand, there was a significant association between or median absolute deviation of HbA1C outcomes and the median HbA1C result between centres. On average every two thirds of a median absolute deviation increase in clinic HbA1C was associated with a 1.0% (10.9 mmol/mol) increase in median clinic HbA1C. CONCLUSIONS: Our data have shown that it is likely difficult for centres to have a low median HbA1C if there is high variance of HbA1C's within centres or within centre treatment groups. This appears to be true regardless of centre size. These findings need to be carefully considered by teams who wish to lower their clinic median HbA1C.

Socioeconomic representativeness of Australian, Canadian and British cohorts from the paediatric diabetes AdDIT study: comparisons to regional and national data.

BACKGROUND: Given limited data regarding the involvement of disadvantaged groups in paediatric diabetes clinical trials, this study aimed to evaluate the socioeconomic representativeness of participants recruited into a multinational clinical trial in relation to regional and national type 1 diabetes reference populations. METHODS: Retrospective, cross-sectional evaluation of a subset of adolescent type 1 diabetes cardiorenal intervention trial (AdDIT) participants from Australia (n = 144), Canada (n = 312) and the UK (n = 173). Validated national measures of deprivation were used: the Index of Relative Socioeconomic Disadvantage (IRSD) 2016 (Australia), the Material Resources (MR) dimension of the Canadian Marginalisation index 2016 (Canada) and the Index of Multiple Deprivation (IMD) 2015 (UK). Representativeness was assessed by comparing the AdDIT cohort's distribution of deprivation quintiles with that of the local paediatric type 1 diabetes population (regional), and the broader type 1 diabetes population for which the trial's intervention was targeted (national). RESULTS: Recruited study cohorts from each country had higher proportions of participants with higher SES, and significant underrepresentation of lower SES, in relation to their national references. The socioeconomic make-up in Australia mirrored that of the regional population (p = 0.99). For Canada, the 2nd least deprived (p = 0.001) and the most deprived quintiles (p < 0.001) were over- and under-represented relative to the regional reference, while the UK featured higher regional and national SES bias with over-representation and under-representation from the least-deprived and most-deprived quintiles (p < 0.0001). CONCLUSIONS: Significant national differences in trial participation of low SES participants were observed, highlighting limitations in access to clinical research and the importance of reporting sociodemographic representation in diabetes clinical trials. TRIAL REGISTRATION: NCT01581476. Registered on 20 April 2012.

Urinary albumin/creatinine ratio tertiles predict risk of diabetic retinopathy progression: a natural history study from the Adolescent Cardio-Renal Intervention Trial (AdDIT) observational cohort.

AIMS/HYPOTHESIS: We hypothesised that adolescents with type 1 diabetes with a urinary albumin/creatinine ratio (ACR) in the upper tertile of the normal range (high ACR) are at greater risk of three-step diabetic retinopathy progression (3DR) independent of glycaemic control. METHODS: This was a prospective observational study in 710 normoalbuminuric adolescents with type 1 diabetes from the non-intervention cohorts of the Adolescent Cardio-Renal Intervention Trial (AdDIT). Participants were classified as 'high ACR' or 'low ACR' (lowest and middle ACR tertiles) using baseline standardised log10 ACR. The primary outcome, 3DR, was determined from centrally graded, standardised two-field retinal photographs. 3DR risk was determined using multivariable Cox regression for the effect of high ACR, with HbA1c, BP, LDL-cholesterol and BMI as covariates; diabetes duration was the time-dependent variable. RESULTS: At baseline mean ± SD age was 14.3 ± 1.6 years and mean ± SD diabetes duration was 7.2 ± 3.3 years. After a median of 3.2 years, 83/710 (12%) had developed 3DR. In multivariable analysis, high ACR (HR 2.1 [1.3, 3.3], p=0.001), higher mean IFCC HbA1c (HR 1.03 [1.01, 1.04], p=0.001) and higher baseline diastolic BP SD score (HR 1.43 [1.08, 1.89], p=0.01) were independently associated with 3DR risk. CONCLUSIONS/INTERPRETATION: High ACR is associated with greater risk of 3DR in adolescents, providing a target for future intervention studies. TRIAL REGISTRATION: isrctn.org ISRCTN91419926.

Hybrid closed-loop therapy with a first-generation system increases confidence and independence in diabetes management in youth with type 1 diabetes.

AIM: Hybrid closed-loop (HCL) therapy improves glycaemic control in adolescents with type 1 diabetes; however, little is known about their lived experience using these systems. The aim of this study was to explore the lived experiences of youth with type 1 diabetes using HCL therapy, and their parents, to provide insight into their lived experiences. METHODS: Adolescents and young adults aged 12-25 years, who used Medtronic MiniMed™ 670G HCL system during a 6-month randomised clinical trial, and their parents, were invited to participate in a semi-structured interview at the end of the study. Open-ended questions were used to explore the lived experiences of families using HCL. The interviews were audio-recorded, transcribed and analysed using thematic analysis to determine the main themes. RESULTS: In all, 17 young people with type 1 diabetes mean ± SD age: 17.5 ± 4.2 years, diabetes duration: 11.0 ± 4.9 years and HbA1c 64 ± 9 mmol/mol (8.0 ± 0.8%) and 10 parents were interviewed. Three themes were identified: (1) 'Developing confidence and trust in the system', (2) 'Reduction in anxiety' and (3) 'Issues with device'. They reported a positive experience using HCL, with improvements in glucose levels and increased independence with diabetes management. However, frustration around the number of alarms and notifications associated with the system were also identified as issues. CONCLUSION: Both youth and parents acknowledged the benefits of this first-generation HCL system in improving glycaemic outcomes and in providing flexibility and independence. These lived experiences provide valuable information in the introduction and provision of targeted education with HCL therapy.

Adolescent ambivalence about diabetes technology-The Janus faces of automated care.

The Janus face metaphor approach highlights that a technology may simultaneously have two opposite faces or properties with unforeseen paradoxes within human-technology interaction. Suboptimal acceptance and clinical outcomes are sometimes seen in adolescents who use diabetes-related technologies. A traditional linear techno-determinist model of technology use would ascribe these unintended outcomes to suboptimal technology, suboptimal patient behavior, or suboptimal outcome measures. This paradigm has demonstratively not been successful at universally improving clinical outcomes over the last two decades. Alternatively, the Janus face metaphor moves away from a linear techno-determinist model and focuses on the dynamic interaction of the human condition and technology. Specifically, it can be used to understand variance in adoption or successful use of diabetes-related technology and to retrospectively understand suboptimal outcomes. The Janus face metaphor also allows for a prospective exploration of potential impacts of diabetes-related technology by patients, families, and their doctors so as to anticipate and minimize potential subsequent tensions.

Decreased occurrence of ketoacidosis and preservation of beta cell function in relatives screened and monitored for type 1 diabetes in Australia and New Zealand.

AIMS: Islet autoantibody screening of infants and young children in the Northern Hemisphere, together with semi-annual metabolic monitoring, is associated with a lower risk of ketoacidosis (DKA) and improved glucose control after diagnosis of clinical (stage 3) type 1 diabetes (T1D). We aimed to determine if similar benefits applied to older Australians and New Zealanders monitored less rigorously. METHODS: DKA occurrence and metabolic control were compared between T1D relatives screened and monitored for T1D and unscreened individuals diagnosed in the general population, ascertained from the Australasian Diabetes Data Network. RESULTS: Between 2005 and 2019, 17,105 relatives (mean (SD) age 15.7 (10.8) years; 52% female) were screened for autoantibodies against insulin, glutamic acid decarboxylase, and insulinoma-associated protein 2. Of these, 652 screened positive to a single and 306 to multiple autoantibody specificities, of whom 201 and 215, respectively, underwent metabolic monitoring. Of 178 relatives diagnosed with stage 3 T1D, 9 (5%) had DKA, 7 of whom had not undertaken metabolic monitoring. The frequency of DKA in the general population was 31%. After correction for age, sex and T1D family history, the frequency of DKA in screened relatives was >80% lower than in the general population. HbA1c and insulin requirements following diagnosis were also lower in screened relatives, consistent with greater beta cell reserve. CONCLUSIONS: T1D autoantibody screening and metabolic monitoring of older children and young adults in Australia and New Zealand, by enabling pre-clinical diagnosis when beta cell reserve is greater, confers protection from DKA. These clinical benefits support ongoing efforts to increase screening activity in the region and should facilitate the application of emerging immunotherapies.

Proinsulin C-peptide is an autoantigen in people with type 1 diabetes.

Type 1 diabetes (T1D) is an autoimmune disease in which insulin-producing beta cells, found within the islets of Langerhans in the pancreas, are destroyed by islet-infiltrating T cells. Identifying the antigenic targets of beta-cell reactive T cells is critical to gain insight into the pathogenesis of T1D and develop antigen-specific immunotherapies. Several lines of evidence indicate that insulin is an important target of T cells in T1D. Because many human islet-infiltrating CD4+ T cells recognize C-peptide-derived epitopes, we hypothesized that full-length C-peptide (PI33-63), the peptide excised from proinsulin as it is converted to insulin, is a target of CD4+ T cells in people with T1D. CD4+ T cell responses to full-length C-peptide were detected in the blood of: 14 of 23 (>60%) people with recent-onset T1D, 2 of 15 (>13%) people with long-standing T1D, and 1 of 13 (<8%) HLA-matched people without T1D. C-peptide-specific CD4+ T cell clones, isolated from six people with T1D, recognized epitopes from the entire 31 amino acids of C-peptide. Eighty-six percent (19 of 22) of the C-peptide-specific clones were restricted by HLA-DQ8, HLA-DQ2, HLA-DQ8trans, or HLA-DQ2trans, HLA alleles strongly associated with risk of T1D. We also found that full-length C-peptide was a much more potent agonist of some CD4+ T cell clones than an 18mer peptide encompassing the cognate epitope. Collectively, our findings indicate that proinsulin C-peptide is a key target of autoreactive CD4+ T cells in T1D. Hence, full-length C-peptide is a promising candidate for antigen-specific immunotherapy in T1D.

Has subsidized continuous glucose monitoring improved outcomes in pediatric diabetes?

INTRODUCTION: In 2017, the Australian Federal Government fully subsidized continuous glucose monitoring (CGM) devices for patients under 21 years of age with T1D with the aim of reducing rates of severe hypoglycaemia (SH) and improving metabolic control. The aim of this study was to reports on metabolic outcomes in youth from a single tertiary centre. METHODS: The study design was observational. Data were obtained on youth who commenced CGM between May 2017 and December 2019. RESULTS: Three hundred and forty one youth who commenced CGM and had clinical outcome data for a minimum of 4 months. 301, 261, 216, 172, and 125 had outcome data out to 8, 12, 16, 20, and 24 months, respectively. Cessation occurred between 27.9% and 32.8% of patients 12 to 24 months after CGM commencement. HbA1c did not change in patients who continued to use CGM. In the 12 months prior to starting CGM the rate of severe hypoglycaemia events were 5.0 per 100 patient years. The rates of severe hypoglycaemia in those continuing to use CGM at 4, 8, 12, 16, 20, and 24 months, were 5.2, 5.1, 1.6, 6.1, 2.4, and 0 per 100 patient years, respectively. DISCUSSION: Our experience of patients either ceasing or underusing CGM is less than reported in other cohorts but is nonetheless still high. There may have been a reduction in rates of severe hypoglycaemia over the 24 months follow up period; however, the absolute numbers of events were so low as to preclude meaningful statistical analysis.

Incidence of type 1 diabetes in 0 to 14 year olds in Australia from 2002 to 2017.

OBJECTIVE: To determine the incidence of childhood onset type 1 diabetes in Australia from 2002 to 2017, and analyze incidence rate trends by calendar year, sex, and age at diagnosis. RESEARCH DESIGN AND METHODS: Children newly diagnosed with type 1 diabetes aged <15 years between 2002 and 2017 were identified from the National Diabetes Register, estimated to be ~99% complete. Data were obtained for diagnosis year, sex, age, and residential State/Territory at time of diagnosis. Population estimates by year, sex, single year of age, and State/Territory were obtained from the Australian Bureau of Statistics and Poisson regression used to examine incidence and trends by calendar year, sex, and age group at diagnosis. RESULTS: Between 2002 and 2017, there were 16 783 newly diagnosed cases of type 1 diabetes in children aged < 15 years (8684 boys: 8099 girls), giving a mean incidence of 25.0/1 00 000 person years (95%CI: 24.6, 25.4). A sinusoidal pattern in the incidence rate trend was observed with 5-yearly cycles providing the best model fit. No significant difference was observed in boys compared to girls (IRR 0.98 [95%CI: 0.95, 1.01]). Compared to 0 to 4 year olds, the mean incidence was 75% higher in 5 to 9 year olds, and 224% higher in 10 to 14 year olds. A decreasing incidence rate trend was observed in 0 to 4 year old boys and girls. CONCLUSIONS: This study reports updated incidence and incidence rate trends in children and adolescents diagnosed with type 1 diabetes in Australia. A cyclical pattern in incidence trend persists, with an overall decreasing trend observed only in the youngest age group.

Biomarkers associated with early stages of kidney disease in adolescents with type 1 diabetes.

OBJECTIVES: To identify biomarkers of renal disease in adolescents with type 1 diabetes (T1D) and to compare findings in adults with T1D. METHODS: Twenty-five serum biomarkers were measured, using a Luminex platform, in 553 adolescents (median [interquartile range] age: 13.9 [12.6, 15.2] years), recruited to the Adolescent Type 1 Diabetes Cardio-Renal Intervention Trial. Associations with baseline and final estimated glomerular filtration rate (eGFR), rapid decliner and rapid increaser phenotypes (eGFR slopes <-3 and > 3 mL/min/1.73m2 /year, respectively), and albumin-creatinine ratio (ACR) were assessed. Results were also compared with those obtained in 859 adults (age: 55.5 [46.1, 64.4) years) from the Scottish Diabetes Research Network Type 1 Bioresource. RESULTS: In the adolescent cohort, baseline eGFR was negatively associated with trefoil factor-3, cystatin C, and beta-2 microglobulin (B2M) (B coefficient[95%CI]: -0.19 [-0.27, -0.12], P = 7.0 × 10-7 ; -0.18 [-0.26, -0.11], P = 5.1 × 10-6 ; -0.12 [-0.20, -0.05], P = 1.6 × 10-3 ), in addition to clinical covariates. Final eGFR was negatively associated with osteopontin (-0.21 [-0.28, -0.14], P = 2.3 × 10-8 ) and cystatin C (-0.16 [-0.22, -0.09], P = 1.6 × 10-6 ). Rapid decliner phenotype was associated with osteopontin (OR: 1.83 [1.42, 2.41], P = 7.3 × 10-6 ), whereas rapid increaser phenotype was associated with fibroblast growth factor-23 (FGF-23) (1.59 [1.23, 2.04], P = 2.6 × 10-4 ). ACR was not associated with any of the biomarkers. In the adult cohort similar associations with eGFR were found; however, several additional biomarkers were associated with eGFR and ACR. CONCLUSIONS: In this young population with T1D and high rates of hyperfiltration, osteopontin was the most consistent biomarker associated with prospective changes in eGFR. FGF-23 was associated with eGFR increases, whereas trefoil factor-3, cystatin C, and B2M were associated with baseline eGFR.

NR5A1 gene variants repress the ovarian-specific WNT signaling pathway in 46,XX disorders of sex development patients.

Several recent reports have described a missense variant in the gene NR5A1 (c.274C>T; p.Arg92Trp) in a significant number of 46,XX ovotesticular or testicular disorders of sex development (DSDs) cases. The affected residue falls within the DNA-binding domain of the NR5A1 protein, however the exact mechanism by which it causes testicular development in 46,XX individuals remains unclear. We have screened a cohort of 26 patients with 46,XX (ovo)testicular DSD and identified three unrelated individuals with this NR5A1 variant (p.Arg92Trp), as well as one patient with a novel NR5A1 variant (c.779C>T; p.Ala260Val). We examined the functional effect of these changes, finding that while protein levels and localization were unaffected, variant NR5A1 proteins repress the WNT signaling pathway and have less ability to upregulate the anti-testis gene NR0B1. These findings highlight how NR5A1 variants impact ovarian differentiation across multiple pathways, resulting in a switch from ovarian to testis development in genetic females.

Induced pluripotent stem cell macrophages present antigen to proinsulin-specific T cell receptors from donor-matched islet-infiltrating T cells in type 1 diabetes.

AIMS/HYPOTHESIS: Type 1 diabetes is an autoimmune disorder characterised by loss of insulin-producing beta cells of the pancreas. Progress in understanding the cellular and molecular mechanisms underlying the human disease has been hampered by a dearth of appropriate human experimental models. We previously reported the characterisation of islet-infiltrating CD4+ T cells from a deceased organ donor who had type 1 diabetes. METHODS: Induced pluripotent stem cell (iPSC) lines derived from the above donor were differentiated into CD14+ macrophages and tested for their capacity to present antigen to T cell receptors (TCRs) derived from islet-infiltrating CD4+ T cells from the same donor. RESULTS: The iPSC macrophages displayed typical macrophage morphology, surface markers (CD14, CD86, CD16 and CD11b) and were phagocytic. In response to IFNγ treatment, iPSC macrophages upregulated expression of HLA class II, a characteristic that correlated with their capacity to present epitopes derived from proinsulin C-peptide to a T cell line expressing TCRs derived from islet-infiltrating CD4+ T cells of the original donor. T cell activation was specifically blocked by anti-HLA-DQ antibodies but not by antibodies directed against HLA-DR. CONCLUSIONS/INTERPRETATION: This study provides a proof of principle for the use of iPSC-derived immune cells for modelling key cellular interactions in human type 1 diabetes.

Two's company, is three a crowd? Ethical cognition in decision making and the role of industry third parties in pediatric diabetes care.

Families of children with diabetes increasingly obtain health information from a variety of sources. Doctor-patient relationships have accordingly become more fluid and dynamic with input from other parties. These outside parties include representatives from the diabetes health care industry-industry third parties (ITPs). This review is an exploration of the ethical principles and cognitive processes involved when doctors and patients negotiate around health care practices and the role of ITPs in that dialogue. Ethical principles of conflicts of interest, beneficence (act in the best interests of the patient), non-maleficence (act so as to do no harm) and justice (act so as to allocate resources fairly or justly) are relevant considerations. Reflexive and analytic thinking and various cognitive biases also play a significant part in clinical decision making. A complex case example is analyzed to highlight a process of ethical cognition in decision making to ensure high-value care and optimal patient outcomes.

The Adolescent Cardio-Renal Intervention Trial (AdDIT): retinal vascular geometry and renal function in adolescents with type 1 diabetes.

AIMS/HYPOTHESIS: We examined the hypothesis that elevation in urinary albumin creatinine ratio (ACR) in adolescents with type 1 diabetes is associated with abnormal retinal vascular geometry (RVG) phenotypes. METHODS: A cross-sectional study at baseline of the relationship between ACR within the normoalbuminuric range and RVG in 963 adolescents aged 14.4 ± 1.6 years with type 1 diabetes (median duration 6.5 years) screened for participation in AdDIT. A validated algorithm was used to categorise log10 ACR into tertiles: upper tertile ACR was defined as 'high-risk' for future albuminuria and the lower two tertiles were deemed 'low-risk'. RVG analysis, using a semi-automated computer program, determined retinal vascular calibres (standard and extended zones) and tortuosity. RVG measures were analysed continuously and categorically (in quintiles: Q1-Q5) for associations with log10 ACR and ACR risk groups. RESULTS: Greater log10 ACR was associated with narrower vessel calibres and greater tortuosity. The high-risk group was more likely to have extended zone vessel calibres in the lowest quintile (arteriolar Q1 vs Q2-Q5: OR 1.67 [95% CI 1.17, 2.38] and venular OR 1.39 [0.98, 1.99]) and tortuosity in the highest quintile (Q5 vs Q1-Q4: arteriolar OR 2.05 [1.44, 2.92] and venular OR 2.38 [1.67, 3.40]). The effects of retinal vascular calibres and tortuosity were additive such that the participants with the narrowest and most tortuous vessels were more likely to be in the high-risk group (OR 3.32 [1.84, 5.96]). These effects were independent of duration, blood pressure, BMI and blood glucose control. CONCLUSIONS/INTERPRETATION: Higher ACR in adolescents is associated with narrower and more tortuous retinal vessels. Therefore, RVG phenotypes may serve to identify populations at high risk of diabetes complications during adolescence and well before onset of clinical diabetes complications.

The clinician factor: Personality characteristics of clinicians and their impact upon clinical outcomes in the management of children and adolescents with type 1 diabetes.

OBJECTIVE: The purpose of this study was to estimate clinician qualities that influence metabolic outcomes in youth with type 1 diabetes. RESEARCH DESIGN AND METHODS: Data were gathered over two 3 month periods in a large tertiary diabetes center (1500 patients, 8 clinicians) from patients with type 1 diabetes who received continuous care from each clinician. Data included sex, age, diabetes duration, insulin regimen, body mass index (BMI), insulin dose and episodes of severe hypoglycemia. Clinician data included target blood glucose levels, target glycated hemoglobin (HbA1c), Diabetes Attitude Scale and Big 5 Personality Inventory Scale. Mean HbA1c per clinician was the primary outcome variable. RESULTS: The 8 clinicians saw a total of 464 patients during the first time period, and 603 in the second time period. Lowest to highest mean HbA1c per clinician varied by 0.7%. There were small but statistically significant differences between clinicians with their patients' age at diagnosis, duration of diabetes, age, gender, treatment type and BMI SD score. After controlling for these differences, the clinician characteristics that were associated with lower mean HbA1c were having no lower limit in target HbA1c and being self-reportedly "less agreeable." The impact of these clinician attitudinal traits was equivalent to the combined effects of patient characteristics and treatment type. CONCLUSIONS: There was a significant variation in metabolic outcomes between treating clinicians. After controlling for patient clinical differences, clinician mean HbA1c was associated with lower limit in target HbA1c and being "less agreeable." Clinicians who were more demanding and dogmatic appeared to have better outcomes.

Diabetes distress is more strongly associated with HbA1c than depressive symptoms in adolescents with type 1 diabetes: Results from Diabetes MILES Youth-Australia.

BACKGROUND: Glycated hemoglobin (HbA1c) is higher during adolescence than at any other life stage. Some research among adolescents indicates that depressive symptoms are associated with suboptimal HbA1c. However, research among adults suggests diabetes distress is a stronger predictor of HbA1c than depressive symptoms. OBJECTIVE: To determine the relative contributions of depressive symptoms and diabetes distress to explain the variance in HbA1c among adolescents with type 1 diabetes. PARTICIPANTS AND METHODS: Diabetes MILES Youth Study respondents aged 13 to 19 years completed questionnaires assessing depressive symptoms (Patient Health Questionnaire for Adolescents: PHQA-8), diabetes distress (Problem Areas in Diabetes-Teen version: PAID-T), and self-reported socio-demographic and clinical variables, including their most recent HbA1c. Stepwise hierarchical multiple regression was conducted to examine the contributions of depressive symptoms and diabetes distress to HbA1c. RESULTS: Participants (N = 450) had a (mean ± SD) age of 15.7 ± 1.9 years; diabetes duration of 6.9 ± 4.3 years; and 38% (n = 169) were male. Twenty-one percent (n = 96) experienced moderate-to-severe depressive symptoms (PHQA-8 ≥ 11) and 36% (n = 162) experienced high diabetes distress (PAID-T > 90). In the final regression model, HbA1c was explained by: diabetes duration (ß = .14, P = .001), self-monitoring of blood glucose (ß = -.20, P < .001), and diabetes distress (ß = .30, P < .001). Following the addition of diabetes distress, depressive symptoms were no longer significantly associated with HbA1c (P = .551). The final model explained 18% of the variance in HbA1c. CONCLUSIONS: Consistent with evidence from studies among adults, diabetes distress mediated the relationship between depressive symptoms and HbA1c among adolescents with type 1 diabetes. These findings suggest that clinicians need to be aware of diabetes distress.

Hvidoere Smiley Faces: International diabetes quality of life assessment tool for young children.

BACKGROUND: Few diabetes-specific quality of life (QOL) tools are available for young children. OBJECTIVES: To design and evaluate, a new age-specific QOL questionnaire and its associations with treatment regimens and metabolic control. METHODS: Clinical, demographic data and centrally analyzed HbA1c were collected on 1133 children <11 years (girls 48%; mean ± SD age 8.0 ± 2.1 years; diabetes duration ≥1 year) from 18 centers (Europe, Japan, North America and Australia). Children completed the 10-item Smiley Faces QOL questionnaire constructed for the study, and children ≥7 years also completed the KIDSCREEN-10 Index. RESULTS: In total, 1035 children completed the new Smiley Faces questionnaire which was well understood by 993 (70% ≥4 years and 96% ≥5 years, respectively). Internal consistency and reliability were good (Cronbach's α = .73). Inter-item correlation ranged r = 0.047 to 0.451 indicating each item measures separate aspects of children's satisfaction construct. Convergent validity assessed by comparison to the HrQOL KIDSCREEN-10 Index showed moderate correlation coefficient 0.501. Factor analysis revealed 3 factors explaining 51% of the variance. Children reported good QOL with most items positive, mean values between 1 and 2 on a 5-point scale (lower scores indicating greater QOL). Diabetes satisfaction was unrelated to age, diabetes duration, HbA1c, or severe hypoglycemia. Girls were more satisfied than boys. Children on intensive regimens reported better QOL (P < .02). Main dissatisfaction related to insulin injections and blood sugar testing. CONCLUSIONS: The Smiley Faces questionnaire enables QOL assessment in young children and identification of areas of dissatisfaction and other clinically relevant items relating to diabetes management.

Targets and teamwork: Understanding differences in pediatric diabetes centers treatment outcomes.

OBJECTIVE: The reason for center differences in metabolic control of childhood diabetes is still unknown. We sought to determine to what extent the targets, expectations, and goals that diabetes care professionals have for their patients is a determinant of center differences in metabolic outcomes. RESEARCH DESIGN AND METHODS: Children, under the age of 11 with type 1 diabetes and their parents treated at the study centers participated. Clinical, medical, and demographic data were obtained, along with blood sample for centralized assay. Parents and all members of the diabetes care team completed questionnaires on treatment targets for hemoglobin A1c (HbA1c) and recommended frequency of blood glucose monitoring. RESULTS: Totally 1113 (53% male) children (mean age 8.0 ± 2.1 years) from 18 centers in 17 countries, along with parents and 113 health-care professionals, participated. There were substantial differences in mean HbA1c between centers ranging from 7.3 ± 0.8% (53 mmol/mol ± 8.7) to 8.9 ± 1.1% (74 mmol/mol ± 12.0). Centers with lower mean HbA1c had (1) parents who reported lower targets for their children, (2) health-care professionals that reported lower targets and more frequent testing, and (3) teams with less disagreement about recommended targets. Multiple regression analysis indicated that teams reporting higher HbA1c targets and more target disagreement had parents reporting higher treatment targets. This seemed to partially account for center differences in Hb1Ac. CONCLUSIONS: The diabetes care teams' cohesiveness and perspectives on treatment targets, expectations, and recommendations have an influence on parental targets, contributing to the differences in pediatric diabetes center outcomes.