Standardising personalised diabetes care across European health settings: A person-centred outcome set agreed in a multinational Delphi study.

OBJECTIVE: Standardised person-reported outcomes (PRO) data can contextualise clinical outcomes enabling precision diabetes monitoring and care. Comprehensive outcome sets can guide this process, but their implementation in routine diabetes care has remained challenging and unsuccessful at international level. We aimed to address this by developing a person-centred outcome set for Type 1 and Type 2 diabetes, using a methodology with prospects for increased implementability and sustainability in international health settings. METHODS: We used a three-round questionnaire-based Delphi study to reach consensus on the outcome set. We invited key stakeholders from 19 countries via purposive snowball sampling, namely people with diabetes (N = 94), healthcare professionals (N = 65), industry (N = 22) and health authorities (N = 3), to vote on the relevance and measurement frequency of 64 previously identified clinical and person-reported outcomes. Subsequent consensus meetings concluded the study. RESULTS: The list of preliminary outcomes was shortlisted via the consensus process to 46 outcomes (27 clinical outcomes and 19 PROs). Two main collection times were recommended: (1) linked to a medical visit (e.g. diabetes-specific well-being, symptoms and psychological health) and (2) annually (e.g. clinical data, general well-being and diabetes self management-related outcomes). CONCLUSIONS: PROs are often considered in a non-standardised way in routine diabetes care. We propose a person-centred outcome set for diabetes, specifically considering psychosocial and behavioural aspects, which was agreed by four international key stakeholder groups. It guides standardised collection of meaningful outcomes at scale, supporting individual and population level healthcare decision making. It will be implemented and tested in Europe as part of the H2O project.

Fasting and meal-stimulated serum C-peptide in long-standing type 1 diabetes mellitus.

AIMS: This study aims to evaluate the stability of C-peptide over time and to compare fasting C-peptide and C-peptide response after mixed-meal tolerance test (MMTT) at T90 or T120 with C-peptide area under the curve (AUC) in long-standing type 1 diabetes. METHODS: We included 607 type 1 diabetes individuals with diabetes duration >5 years. C-peptide concentrations (ultrasensitive assay) were collected in the fasting state, and in a subpopulation after MMTT (T0, just prior to, T30-T60-T90-T120, 30-120 min after ingestion of mixed-meal) (n = 168). Fasting C-peptide concentrations (in n = 535) at Year 0 and Year 1 were compared. The clinical determinants associated with residual C-peptide secretion and the correspondence of C-peptide at MMTT T90 / T120 and total AUC were assessed. RESULTS: A total of 153 participants (25%) had detectable fasting serum C-peptide (i.e ≥ 3.8 pmol/L). Fasting C-peptide was significantly lower at Year 1 (p < 0.001, effect size = -0.16). Participants with higher fasting C-peptide had a higher age at diagnosis and shorter disease duration and were less frequently insulin pump users. Overall, 109 of 168 (65%) participants had both non-detectable fasting and post-meal serum C-peptide concentrations. The T90 and T120 C-peptide values at MMTT were concordant with total AUC. In 17 (10%) individuals, C-peptide was only detectable at MMTT and not in the fasting state. CONCLUSIONS: Stimulated C-peptide was detectable in an additional 10% of individuals compared with fasting in individuals with >5 years of diabetes duration. T90 and T120 MMTT measurements showed good concordance with the MMTT total AUC. Overall, there was a decrease of C-peptide at 1-year follow-up.

How low is really low? Comparison of two C-peptide assays to establish residual C-peptide production in type 1 diabetes.

INTRODUCTION: C-peptide is an important marker to assess residual insulin production in individuals with type 1 diabetes (T1D). The accuracy and detection limits of C-peptide assays are important to detect C-peptide microsecretion and to reliably observe changes over time in these people. We compared and verified two commercially available assays able to measure C-peptide in the picomolar range. METHODS: The ultrasensitive Mercodia enzyme-linked immunosorbent C-peptide assay (ELISA) was compared with the Beckman immunoradiometric assay (IRMA) for C-peptide, assessing reproducibility (coefficient of variation [CV]), limit of blank (LoB), limit of detection (LoD) and limit of quantitation (LoQ). RESULTS: For both assays within-run and between-run variation were high at the low (around the detection limit) C-peptide concentration range, with CVs of around 40%. LoB values for the ultrasensitive ELISA and the IRMA were 1.3 and 0.16 pmol/L respectively. LoD values were 2.4 and 0.54 pmol/L respectively. LoQ values were 9.7 and 3.8 pmol/L respectively. Only the IRMA met the specifications claimed by the manufacturer. CONCLUSIONS: The IRMA provided the lowest threshold for quantification of serum C-peptide. LoQ of commercially available assays should be established in-house before applying them in research studies and clinical trials in which low C-peptide levels have clinical or scientific relevance.

International comparison of glycaemic control in people with type 1 diabetes: an update and extension.

AIMS: To update and extend a previous cross-sectional international comparison of glycaemic control in people with type 1 diabetes. METHODS: Data were obtained for 520,392 children and adults with type 1 diabetes from 17 population and five clinic-based data sources in countries or regions between 2016 and 2020. Median HbA1c (IQR) and proportions of individuals with HbA1c < 58 mmol/mol (<7.5%), 58-74 mmol/mol (7.5-8.9%) and ≥75 mmol/mol (≥9.0%) were compared between populations for individuals aged <15, 15-24 and ≥25 years. Logistic regression was used to estimate the odds ratio (OR) of HbA1c < 58 mmol/mol (<7.5%) relative to ≥58 mmol/mol (≥7.5%), stratified and adjusted for sex, age and data source. Where possible, changes in the proportion of individuals in each HbA1c category compared to previous estimates were calculated. RESULTS: Median HbA1c varied from 55 to 79 mmol/mol (7.2 to 9.4%) across data sources and age groups so a pooled estimate was deemed inappropriate. OR (95% CI) for HbA1c < 58 mmol/mol (<7.5%) were 0.91 (0.90-0.92) for women compared to men, 1.68 (1.65-1.71) for people aged <15 years and 0.81 (0.79-0.82) aged15-24 years compared to those aged ≥25 years. Differences between populations persisted after adjusting for sex, age and data source. In general, compared to our previous analysis, the proportion of people with an HbA1c  < 58 mmol/l (<7.5%) increased and proportions of people with HbA1c ≥ 75 mmol/mol (≥9.0%) decreased. CONCLUSIONS: Glycaemic control of type 1 diabetes continues to vary substantially between age groups and data sources. While some improvement over time has been observed, glycaemic control remains sub-optimal for most people with Type 1 diabetes.

Depression and anxiety in adolescents with type 1 diabetes and their parents.

BACKGROUND: Longitudinal studies including parental distress when examining adverse health outcomes in adolescents with type 1 diabetes are lacking. This study examined whether parental depression and anxiety predict adolescent emotional distress and glycated hemoglobin A1c (HbA1c) 1 year later and whether a relation between parental distress and HbA1c is mediated by the level of parental involvement in diabetes care and by treatment behaviors. METHODS: Longitudinal path modeling was applied to data from 154 adolescents and parents from diabetes centers participating in the Longitudinal study of Emotional problems in Adolescents with type 1 diabetes and their Parents/caregivers (Diabetes LEAP). At baseline and 1-year follow-up, participants completed measures of depression and anxiety. HbA1c was extracted from medical charts. Responsibility and treatment behavior questionnaires were completed by adolescents at baseline. RESULTS: Baseline parental depressive and anxiety symptoms were not associated with 1-year adolescent depressive symptoms, anxiety symptoms, and HbA1c. Responsibility division and treatment behaviors did not mediate associations between parental emotional distress and 1-year HbA1c. CONCLUSIONS: Parental depressive and anxiety symptoms did not predict adolescent health outcomes 1 year later. Future studies may determine whether the link is present in case of mood/anxiety disorders or severe diabetes-specific distress, or whether adolescents are resilient in the face of parental distress. IMPACT: Adolescents with T1D are a vulnerable group in terms of psychological and health outcomes. Whether parental emotional distress (i.e., depressive and anxiety symptoms) is prospectively associated with adolescent emotional distress and/or HbA1c has been understudied. Our results show that parental distress was not related to adolescent distress or HbA1c 1 year later. Responsibility division and treatment behaviors did not mediate associations between parental emotional distress and 1-year HbA1c. Future studies could determine whether these links are present in case of mood/anxiety disorders or severe diabetes-specific distress, or whether adolescents are resilient in the face of parental distress.

Predictors of time in target glucose range in real-world users of the MiniMed 780G system.

AIM: Automated insulin delivery systems have improved glycaemic control in people with type 1 diabetes mellitus. The analysis investigated predictors of improved sensor glucose time-in-range (TIR; 70-180 mg/dl) based on real-world use of the MiniMed 780G advanced hybrid closed-loop (AHCL) system. METHODS: Data uploaded by MiniMed 780G system users from August 2020-July 2021 were analysed using univariate and multivariable models to identify baseline, demographic and system use characteristics associated with TIR after AHCL initiation (post-AHCL). System settings associated with improved TIR post-AHCL were identified and their impact on time below range (TBR, <70 mg/dl) post-AHCL was explored. RESULTS: In total, 12 870 users were included, of which 2977 had baseline sensor glucose data. Baseline TIR and time in AHCL (defined as the percentage of time the system was in Auto-mode) were positively associated with TIR post-AHCL with larger values predicting greater mean TIR post-AHCL. Characteristics inversely associated with TIR post-AHCL included the percentage of daily basal insulin dose, daily autocorrection dose, number of daily AHCL exits triggered by the system and number of daily alarms, wherein larger values of these characteristics predicted lower mean TIR post-AHCL. System settings that predicted the largest mean TIR post-AHCL were active insulin time of 2 h and glucose target of 100 mg/dl. Active insulin time was not associated with TBR post-AHCL. CONCLUSION: Modifiable factors, including optimized pump settings, can allow users to achieve glycaemic targets with >80% TIR. The findings from this analysis will potentially guide the optimal use of the MiniMed 780G system and facilitate meaningful improvements in safe glycaemic control.

Hypoglycaemia and diabetes-specific quality of life in adolescents with type 1 diabetes.

AIMS: To examine whether frequency, perceived severity and fear of hypoglycaemia are independently associated with diabetes-specific quality of life in adolescents with type 1 diabetes. METHODS: Cross-sectional self-reported data on demographics, frequency and perceived severity of both self-treated and severe hypoglycaemia, fear of hypoglycaemia (Hypoglycaemia Fear Survey-Child version) and diabetes-specific quality of life (Pediatric Quality of Life Diabetes Module; PedsQL-DM) were obtained from the project 'Whose diabetes is it anyway?'. Hierarchical regression analyses were performed for the total scale and recommended summary scores of the PedsQL-DM as dependent variables; independent variables were entered in the following steps: (1) age, gender and HbA1c , (2) frequency of hypoglycaemia, (3) perceived severity of hypoglycaemia and (4) fear of hypoglycaemia. RESULTS: Adolescents (12-18 years; n = 96) completed questionnaires. In the first three steps, female gender (p < 0.05), higher HbA1c (p < 0.05), higher frequency of severe hypoglycaemia (p < 0.05) and higher perceived severity of severe (p < 0.05) and self-treated hypoglycaemia (p < 0.001) were significantly associated with lower diabetes-specific quality of life (ß ranging from 0.20 to 0.35). However, in the final model only fear of hypoglycaemia was significantly associated with QoL (p < 0.001). Adolescents with greater fear reported lower diabetes-specific quality of life, with 52% explained variance. This pattern was observed across subdomains of diabetes-specific quality of life. CONCLUSIONS: Fear of hypoglycaemia was the only factor independently associated with diabetes-specific quality of life, whereas frequency and perceived severity of hypoglycaemia were not. These findings highlight the importance of awareness and assessment of fear of hypoglycaemia in clinical practice.

Prevalence and course of mood and anxiety disorders, and correlates of symptom severity in adolescents with type 1 diabetes: Results from diabetes LEAP.

OBJECTIVES: We aim to determine the prevalence and the course of anxiety and mood disorders in Dutch adolescents (12-18 years old) with type 1 diabetes, and to examine correlates of symptom severity, including parental emotional distress. METHODS: Participants were 171 adolescents and 149 parents. The Diagnostic Interview Schedule for Children-IV was used to assess current, past year and lifetime anxiety and mood disorders in adolescents. Symptom severity and diabetes distress were measured with validated questionnaires. Correlates of these symptoms were examined using hierarchical regression analyses and included demographics (adolescent sex and age), clinical factors (diabetes duration, treatment modality, most recent glycated hemoglobin A1c ; all extracted from medical charts), adolescent diabetes distress, and parent emotional distress. RESULTS: Twenty-four (14%) adolescents met the criteria for ≥1 disorder(s) in the previous 12 months. Anxiety disorders were more prevalent than mood disorders (13% vs. 4%). Lifetime prevalence of anxiety and mood disorders was 29% (n = 49). The presence of any of these disorders earlier in life (from 5 years old up to 12 months prior to assessment) was associated with disorders in the past 12 months (OR = 4.88, p = 0.001). Higher adolescent diabetes distress was related to higher symptoms of anxiety (b = 0.07, p = 0.001) and depression (b = 0.13, p = 0.001), while demographics, clinical characteristics, and parental emotional distress were not related. CONCLUSIONS: Anxiety and mood disorders are common among adolescents and related to earlier disorders. Higher diabetes distress was related to higher symptom severity. Clinicians are advised to address past psychological problems and remain vigilant of these problems.

The division and transfer of care responsibilities in paediatric type 1 diabetes: A qualitative study on parental perspectives.

AIM: To determine which factors other than child age play a role in the division and transfer of diabetes care responsibilities between parents and children with type 1 diabetes. DESIGN: Qualitative focus group study. METHODS: Across four sites in the Netherlands, 18 parents (13 mothers) of children (9-14 years) with type 1 diabetes participated in four focus groups in 2015-2016, as part of the research project 'Whose diabetes is it anyway?'. Qualitative content analysis and the constant comparison method were used to analyse the data. RESULTS: According to parents, the transfer process included both direct and indirect tasks, had different levels (remembering, deciding, performing), was at times a difficult and stressful process, and showed large variation between families. A large number of child, parent and context factors were identified that affected the division and transfer of diabetes care responsibilities according to parents. Both positive and negative consequences of the transfer process were described for parental and child health, behaviour and well-being. Parental final evaluations of the division and transfer of diabetes care responsibilities appeared to be dependent on parenting values. CONCLUSION: How families divide and transfer diabetes care tasks appeared to be affected by a complex interplay of child, parent and context characteristics, which had an impact on several parent and child domains. IMPACT: Parents struggle with the right timing of transfer, which calls for more support from diabetes nurses. The identified factors can be used as input for integrating a more family-based approach into current age-based guidelines, to improve regular care.

Clinical and genetic correlates of islet-autoimmune signatures in juvenile-onset type 1 diabetes.

AIMS/HYPOTHESIS: Heterogeneity in individuals with type 1 diabetes has become more generally appreciated, but has not yet been extensively and systematically characterised. Here, we aimed to characterise type 1 diabetes heterogeneity by creating immunological, genetic and clinical profiles for individuals with juvenile-onset type 1 diabetes in a cross-sectional study. METHODS: Participants were HLA-genotyped to determine HLA-DR-DQ risk, and SNP-genotyped to generate a non-HLA genetic risk score (GRS) based on 93 type 1 diabetes-associated SNP variants outside the MHC region. Islet autoimmunity was assessed as T cell proliferation upon stimulation with the beta cell antigens GAD65, islet antigen-2 (IA-2), preproinsulin (PPI) and defective ribosomal product of the insulin gene (INS-DRIP). Clinical parameters were collected retrospectively. RESULTS: Of 80 individuals, 67 had proliferation responses to one or more islet antigens, with vast differences in the extent of proliferation. Based on the multitude and amplitude of the proliferation responses, individuals were clustered into non-, intermediate and high responders. High responders could not be characterised entirely by enrichment for the highest risk HLA-DR3-DQ2/DR4-DQ8 genotype. However, high responders did have a significantly higher non-HLA GRS. Clinically, high T cell responses to beta cell antigens did not reflect in worsened glycaemic control, increased complications, development of associated autoimmunity or younger age at disease onset. The number of beta cell antigens that an individual responded to increased with disease duration, pointing to chronic islet autoimmunity and epitope spreading. CONCLUSIONS/INTERPRETATION: Collectively, these data provide new insights into type 1 diabetes disease heterogeneity and highlight the importance of stratifying patients on the basis of their genetic and autoimmune signatures for immunotherapy and personalised disease management.

Study protocol of Diabetes LEAP: a longitudinal study examining emotional problems in adolescents with type 1 diabetes and their parents/caregivers.

BACKGROUND: Type 1 diabetes (T1D) is a chronic metabolic condition requiring intensive daily self-care to avoid both high and low blood glucose levels. Self-care and glycemic outcomes are particularly problematic in adolescence, a period known for its increased risk of emotional problems. However, the true scope of mood and anxiety disorders in adolescents with T1D is unknown. Earlier studies are limited by a small sample size, lack of diagnostic interview data, a focus on depression only, non-adolescent specific estimates, lack of information about parental emotional problems and/or a cross-sectional design. Diabetes LEAP is a two-year prospective observational cohort study examining (a) the prevalence and course of depression and anxiety in adolescents with T1D and their parents/caregivers, (b) the risk factors predicting the presence of these emotional problems, (c) their longitudinal relation with diabetes outcomes, and (d) the psychosocial care currently in place. METHODS: Adolescents (12-18 years) from 8 Dutch pediatric diabetes clinics are interviewed using the DISC-IV to establish the presence of mood and anxiety disorders in the previous 4 weeks, the previous 12 months, and lifetime. They also complete questionnaires, including CDI-2, GAD-7, and PAID-T. Parents/caregivers complete PHQ-9, GAD-7, and PAID-PR. Follow-up assessments take place after 1 and 2 years. DISCUSSION: This longitudinal study with diagnostic interviews in a large cohort of adolescents with T1D in the Netherlands will provide much needed information regarding the prevalence and course of depression and anxiety in this group, thereby opening avenues for proper recognition, prevention and timely treatment.

Detection and quantification of beta cells by PET imaging: why clinical implementation has never been closer.

In this issue of Diabetologia, Alavi and Werner ( https://doi.org/10.1007/s00125-018-4676-1 ) criticise the attempts to use positron emission tomography (PET) for in vivo imaging of pancreatic beta cells, which they consider as 'futile'. In support of this strong statement, they point out the limitations of PET imaging, which they believe render beta cell mass impossible to estimate using this method. In our view, the Alavi and Werner presentation of the technical limitations of PET imaging does not reflect the current state of the art, which leads them to questionable conclusions towards the feasibility of beta cell imaging using this approach. Here, we put forward arguments in favour of continuing the development of innovative technologies enabling in vivo imaging of pancreatic beta cells and concisely present the current state of the art regarding putative technical limitations of PET imaging. Indeed, far from being a 'futile' effort, we demonstrate that beta cell imaging is now closer than ever to becoming a long-awaited clinical reality.

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.

Disturbed eating behaviors in adolescents with type 1 diabetes. How to screen for yellow flags in clinical practice?

BACKGROUND: Adolescents with type 1 diabetes are at an increased risk of disturbed eating behaviors (DEBs). OBJECTIVE: The aims of this study are to (i) explore the prevalence of DEBs and associated 'yellow flags', and (ii) establish concordance between adolescents-parents and adolescents-clinicians with respect to DEBs. METHODS: Adolescents (11-16 yr) and parents completed questionnaires. A stepwise approach was used to assess DEBs: only adolescents whose answers raised psychological yellow flags for DEBs completed the Diabetes Eating Problems Scale - Revised and questions from the AHEAD study. Parents and clinicians shared their observations regarding possible DEBs. Kruskal-Wallis tests, post hoc Mann-Whitney U test, and chi-squared tests were utilized to examine clinical yellow flags. Cohen's kappa was used to assess concordance. RESULTS: Of 103 adolescents participated (51.5% girls), answers of 47 (46.5%) raised psychological yellow flags, indicating body and weight concerns. A total of 8% scored above cut-off for DEBs. Clinical yellow flags were elevated glycated hemoglobin A1c (p = 0.004), older age (p = 0.034), dieting frequency (p = 0.001), reduced quality of life (p = 0.007), less diabetes self-confidence (p = 0.015), worsened diabetes management (p < 0.001), and body dissatisfaction (p < 0.001). Body Mass Index (BMI) z-scores and gender were no yellow flags. Concordance between parents and adolescents was slight (k = 0.126 and 0.141), and clinicians and adolescents was fair (k = 0.332). DISCUSSION: Half of the adolescents reported body and weight concerns, less than 1 in 10 reported DEBs. Screening for yellow flags for DEBs as a part of clinical routine using a stepwise approach and early assistance is recommended to prevent onset or deterioration of DEBs.

Increased skin autofluorescence of children and adolescents with type 1 diabetes despite a well-controlled HbA1c: results from a cohort study.

BACKGROUND: Early identification of children and adolescents with type 1 diabetes at high risk for development of complications is important, as early intervention may prevent further deterioration. Here we investigate the applicability of assessing skin advanced glycation end products (sAGEs) by skin autofluorescence (SAF) as a potential surrogate risk marker. METHODS: This study included a cross-sectional analysis of SAF in 77 patients with type 1 diabetes mellitus and 118 healthy controls across age categories (11-12, 13-14, 15-16, and 17-19 years old). In patients, the impact of current and historical glycated hemoglobin (HbA1c) values, age, and duration of diabetes on SAF was studied in a retrospective cohort study and analyzed with multivariable analyses. RESULTS: SAF was significantly and similarly higher in patients when compared with controls across all age categories (P ≤0.009). For patients, age, duration of diabetes, and current and historical HbA1c were associated with SAF in univariate analysis. Multivariate analysis showed no association between HbA1c and SAF. A subgroup of patients with a HbA1c-within-target (≤7.5 %/59 mmol/mol) were observed to have high SAF. CONCLUSION: Children and adolescents with type 1 diabetes show higher SAF than controls. The presumed correlation of high HbA1c with high SAF does not exist in all patients. Thus, use of this non-invasive measure may provide a surrogate marker for diabetic complications, additional to HbA1c.

The relationship between parenting stress and parent-child interaction with health outcomes in the youngest patients with type 1 diabetes (0-7 years).

UNLABELLED: To test whether parenting stress and the quality of parent-child interaction were associated with glycemic control and quality of life (QoL) in young children (0-7 years) with type 1 diabetes (T1DM), we videotaped 77 families with a young child with T1DM during mealtime (including glucose monitoring and insulin administration). Parent-child interactions were scored with a specifically designed instrument. Questionnaires assessed general and disease-related parenting stress and (diabetes-specific (DS)) QoL. HbA(1c) (glycemic control) was extracted from the medical records. Both general and disease-related parenting stress were associated with a lower (DS)QoL (r ranged from -0.39 to -0.70, p < 0.05), but not with HbA(1c) levels. Furthermore, with regard to the parent-child interaction, emotional involvement of parents (r = 0.23, p < 0.05) and expressed discomfort of the child (r = 0.23, p < 0.05) were related to suboptimal HbA(1c) levels. There was no clear pattern in the correlations between parent-child interaction and (DS)QoL. CONCLUSION: The results support the notion that diabetes does not only affect the child with T1DM: T1DM is a family disease, as parenting factors (like stress and parent-child interactions) are associated with important child outcomes. Therefore, it is important for health-care providers to not only focus on the child with T1DM, but also on the family system.

Diabetes IN develOpment (DINO): the bio-psychosocial, family functioning and parental well-being of youth with type 1 diabetes: a longitudinal cohort study design.

BACKGROUND: Strict glycemic control during adolescence decreases the risk of developing complications later in life, even if this level of control is not maintained afterwards. However, the majority of adolescents with type 1 diabetes (T1D) are in poor control and so far medical or psychological interventions have shown limited success. Adolescence is characterized by major biological, psychosocial, cognitive and parent-child relationship changes and the complex interaction between these developmental trajectories, and its impact on health outcomes is still poorly understood. A specific topic of interest in this context is the timing of diagnosis. The longitudinal study DINO (Diabetes IN develOpment) aims to examine: 1) If and how the onset of T1D before vs. during puberty results in different outcomes of glycemic control, self-management, psychological functioning and diabetes-related quality of life. 2) The timing of onset of disturbed eating behavior, its risk factors and its prospective course in relation to glycemic and psychological consequences. 3) If and how the onset of T1D before vs. during puberty results in different family functioning and parental well-being. 4) If and how the cognitive development of youth with T1D relates to glycemic control and diabetes self-management. METHODS/DESIGN: DINO, a longitudinal multi-center cohort study is conducted in youth with T1D in the age range 8-15 years at baseline. Participants will be divided into two subgroups: pre-pubertal and pubertal. Both groups will be followed for 3 years with assessments based on a bio-psychosocial model of diabetes, scheduled at baseline, 12 months, 24 months and 36 months examining the biological, psychosocial -including disturbed eating behaviors- and cognitive development, family functioning and parental well-being. DISCUSSION: A better understanding of how the different trajectories affect one another will help to gain insight in the protective and risk factors for glycemic outcomes and in who needs which support at what moment in time. First results are expected in 2016.

Achilles tendons in people with type 2 diabetes show mildly compromised structure: an ultrasound tissue characterisation study.

BACKGROUND: Musculotendinous overuse injuries are prevalent in people with type 2 diabetes. Non-enzymatic glycosylation of collagen resulting in tendon stiffening may play a role. In this case-control study we determined whether patients with diabetes had poorer ultrasonographic structure in their Achilles tendons compared to age-matched controls. METHODS: People with type 1 diabetes or type 2 diabetes, and age-matched controls, had computerised ultrasound tissue characterisation of both Achilles tendons. In contiguous ultrasonographic images of the tendon, echopatterns were quantified and categorised into four echo-types. Tendon abnormality was quantified as sum of echo-types III+IV. Furthermore, skin autofluorescence (AF) of the forearm (AF-value) was gathered. RESULTS: Twenty four type 2 diabetes patients, 24 controls, 24 type 1 diabetes patients and 20 controls were included. AF-value was higher in type 1 diabetes (1.55±0.17) than in their controls (1.39±0.18, p<0.001) and in type 2 diabetes (2.28±0.38) compared to their controls (1.84±0.32, p<0.001) Achilles tendons of type 2 diabetes patients contained more echo-types III+IV (14.1±7.9%) than matched controls (8.0±5.4%, p<0.001). There was a trend towards a difference in echo-types III+IV between type 1 diabetes patients (9.5±5.3%) and their controls (6.5±3.7%, p=0.055). In a stepwise linear regression analysis, body mass index (BMI) was moderately associated with tendon abnormality in patients with diabetes and controls (ß=0.393, p<0.001). CONCLUSIONS: Type 2, and possibly type 1, diabetes patients showed poorer ultrasonographic Achilles tendon structure that may be a risk factor for tendinopathy. Although markers for accumulation of advanced glycation end products were elevated in both diabetes populations, only BMI was associated with these abnormalities. TRIAL REGISTRATION NUMBER: NTR2209.

Qualitative observation instrument to measure the quality of parent-child interactions in young children with type 1 diabetes mellitus.

BACKGROUND: In young children with type 1 diabetes mellitus (T1DM), parents have complete responsibility for the diabetes-management. In toddlers and (pre)schoolers, the tasks needed to achieve optimal blood glucose control may interfere with normal developmental processes and could negatively affect the quality of parent-child interaction. Several observational instruments are available to measure the quality of the parent-child interaction. However, no observational instrument for diabetes-specific situations is available. Therefore, the aim of the present study was to develop a qualitative observation instrument, to be able to assess parent-child interaction during diabetes-specific situations. METHODS: First, in a pilot study (n = 15), the observation instrument was developed in four steps: (a) defining relevant diabetes-specific situations; (b) videotaping these situations; (c) describing all behaviors in a qualitative observation instrument; (d) evaluating usability and reliability. Next, we examined preliminary validity (total n = 77) by testing hypotheses about correlations between the observation instrument for diabetes-specific situations, a generic observation instrument and a behavioral questionnaire. RESULTS: The observation instrument to assess parent-child interaction during diabetes-specific situations, which consists of ten domains: "emotional involvement", "limit setting", "respect for autonomy", "quality of instruction", "negative behavior", "avoidance", "cooperative behavior", "child's response to injection", "emphasis on diabetes", and "mealtime structure", was developed for use during a mealtime situation (including glucose monitoring and insulin administration). CONCLUSIONS: The present study showed encouraging indications for the usability and inter-rater reliability (weighted kappa was 0.73) of the qualitative observation instrument. Furthermore, promising indications for the preliminary validity of the observation instrument for diabetes-specific situations were found (r ranged between |.24| and |.45| for significant correlations and between |.10| and |.23| for non-significant trends). This observation instrument could be used in future research to (a) test whether parent-child interactions are associated with outcomes (like HbA1c levels and psychosocial functioning), and (b) evaluate interventions, aimed at optimizing the quality of parent-child interactions in families with a young child with T1DM.