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Background: The daily demands of type 1 diabetes management may jeopardize adolescents' mental health. We aimed to assess anxiety and depression symptoms by broad-scale, tablet-based outpatient screening in adolescents with type 1 diabetes in Germany. Methods: Adolescent patients with type 1 diabetes mellitus (n = 2,394; mean age 15.4 y [SD 2.0]; 50.7% male) were screened for anxiety (GAD-7) and depression symptoms (PHQ-9) by self-report questionnaires and linked to clinical data from the DPV patient registry. Logistic regression was used to estimate the contribution of clinical parameters to positive screening results. Results: Altogether, 30.2% showed a positive screening (score ≥ 7 in either test), and 11.3% reported suicidal ideations or self-harm. Patients with anxiety and depression symptoms were older (15.7 y [CI 15.5–15.8] vs. 15.3 y [CI 15.2–15.4]; p < 0.0001), had higher HbA1c levels (7.9% [CI 7.8-8.0] (63 mmol/mol) vs. 7.5% [CI 7.4–7.5] (58 mmol/mol); p < 0.0001), and had higher hospitalization rates. Females (adjusted odds ratio (aOR) 2.66 [CI 2.21–3.19]; p < 0.0001), patients > 15 years (aOR 1.40 [1.16–1.68]; p < 0.001), who were overweight (aOR 1.40 [CI 1.14–1.71]; p = 0.001), with HbA1c > 9% (> 75 mmol/mol; aOR 2.58 [1.83–3.64]; each p < 0.0001), with a migration background (aOR 1.46 [CI 1.17–1.81]; p < 0.001), or smoking (aOR 2.72 [CI 1.41–5.23]; p = 0.003) had a higher risk. Regular exercise was a significant protective factor (aOR 0.65 [CI 0.51–0.82]; p < 0.001). Advanced diabetes technologies did not influence screening outcomes. Conclusions: Electronic mental health screening was implemented in 42 centers in parallel, and outcomes showed an association with clinical parameters from sociodemographic, lifestyle, and diabetes-related data. It should be integrated into holistic patient counseling, enabling early recognition of mild mental health symptoms for preventive measures. Females were disproportionally adversely affected. The use of advanced diabetes technologies did not yet reduce the odds of anxiety and depression symptoms in this cross-sectional assessment. [ABSTRACT FROM AUTHOR]

Aim: To assess effects of the SARS-CoV2 pandemic on metabolic control in youth with type 1 diabetes (T1D) in Germany in a population-based analysis. Methods: Data from 33,372 pediatric T1D patients from the Diabetes Prospective Follow-up (DPV) registry, with face-to-face visits or telemedicine contacts in the years 2019–2021, were available. Datasets from eight time periods between March 15, 2020, and December 31, 2021, according to SARS-CoV2 incidence waves, were compared to those from five control time periods. Parameters of metabolic control were assessed with adjustment for sex, age, diabetes duration, and repeated measurements. Laboratory-measured HbA1c values and those estimated from CGM were aggregated into a combined glucose indicator (CGI). Results: There was no clinically relevant difference in metabolic control between pandemic and control time periods with adjusted CGI values ranging from 7.61% [7.60–7.63] (mean [95% confidence interval (CI)]) in the third quarter of 2019 to 7.83% [7.82–7.85] in the time period from January 1 to March 15 2020, in the other control periods, and during the pandemic, CGI values lay between these values. BMI-SDS rose during the pandemic from 0.29 [0.28–0.30] (mean [95% CI]) in the third quarter of 2019 to 0.40 [0.39–0.41] during the fourth wave. Adjusted insulin dose rose during the pandemic. Event rates for hypoglycemic coma and diabetic ketoacidosis remained unchanged. Conclusions: We found no clinically relevant change of glycemic control or incidence of acute diabetes complications during the pandemic. The observed BMI increase may represent an important health risk for youth with T1D. [ABSTRACT FROM AUTHOR]

This study examines the access to healthcare for children and adolescents with three common chronic diseases (type-1 diabetes (T1D), obesity, or juvenile idiopathic arthritis (JIA)) within the 4th (Delta), 5th (Omicron), and beginning of the 6th (Omicron) wave (June 2021 until July 2022) of the COVID-19 pandemic in Germany in a cross-sectional study using three national patient registries. A paper-and-pencil questionnaire was given to parents of pediatric patients (<21 years) during the routine check-ups. The questionnaire contains self-constructed items assessing the frequency of healthcare appointments and cancellations, remote healthcare, and satisfaction with healthcare. In total, 905 parents participated in the T1D-sample, 175 in the obesity-sample, and 786 in the JIA-sample. In general, satisfaction with healthcare (scale: 0–10; 10 reflecting the highest satisfaction) was quite high (median values: T1D 10, JIA 10, obesity 8.5). The proportion of children and adolescents with canceled appointments was relatively small (T1D 14.1%, JIA 11.1%, obesity 20%), with a median of 1 missed appointment, respectively. Only a few parents (T1D 8.6%; obesity 13.1%; JIA 5%) reported obstacles regarding health services during the pandemic. To conclude, it seems that access to healthcare was largely preserved for children and adolescents with chronic health conditions during the COVID-19 pandemic in Germany. [ABSTRACT FROM AUTHOR]

Aims: To characterize children and adolescents with latent autoimmune diabetes of the young (LADY), and to assess the utility of classifying individuals as LADYs regarding their cardiovascular (CV) risk factors. Methods: Data from 25,520 individuals (age at diagnosis <18 years) of the Prospective Diabetes Follow‐up Registry Diabetes‐Patienten Verlaufsdokumentation (DPV) were analyzed. LADY was defined as positivity of ≥one islet autoantibody (iAb+) and an insulin‐free interval of ≥6 months upon diabetes diagnosis. LADYs were compared to iAb+ individuals immediately requiring insulin ("immunologically confirmed" type 1 diabetes, T1DM), iAb−/Ins− individuals ("classical" T2DM) and to those clinically defined as T2DM (iAbs not measured). Results: Clinical characteristics of LADYs (n = 299) fell in between those with T1DM (n = 24,932) and T2DM (iAb−/Ins−, n = 152) or suspected T2DM (iAB not measured, n = 137). Stratifying LADYs according to their clinical diagnosis however revealed two distinct populations, highly resembling either T1DM or T2DM. Particularly, CV risk profile, precisely prevalence rates of arterial hypertension and dyslipidemia, was significantly higher in LADYs clinically classified as T2DM compared to LADYs classified as T1DM, and did not differ from those with "classical" T2DM. Conclusions: In terms of CV risk, classifying children and adolescents with diabetes as LADYs provides no additional benefit. Instead, clinical diagnosis seems to better assign individuals to appropriate risk groups for increased CV risk profiles. [ABSTRACT FROM AUTHOR]

Objective: To assess if metabolic control worsened during the SARS‐CoV2 lockdown in spring 2020 in youth with type 1 diabetes (T1D) in Germany. Methods: Data from 19,729 pediatric T1D patients from the diabetes prospective follow‐up (DPV) registry were available. Data sets from four time‐periods between January 1 and June 30, 2020, were compared with data from the whole year 2019 in the same patient; differences were adjusted for seasonality, increasing age, and longer diabetes duration. HbA1c values from laboratory measurements and estimates derived from continuous glucose monitoring (CGM) were aggregated into a combined glucose indicator (CGI), expressed in analogy to HbA1c. Results: Based on regression models adjusted for differences of sex, age, diabetes duration, and migratory background between the four time‐periods, CGI values in 2020 were slightly higher than in 2019, for example, by 0.044% (0.042–0.046) (median [95% CI]) in the second lockdown month, time‐period 3. Insulin dose and BMI‐SDS were also marginally higher. In 2020, there were fewer hospitalizations (e.g., incidence risk ratio in time‐period 3 compared with 2019: 0.52 [95% CI: 0.46–0.58]). In a subgroup of patients reporting CGM data in both years, metrics in 2020 improved: time in target increased, and mean sensor glucose fell, for example, by 2.8% (2.7–2.9), and by 4.4 mg/dl (4.3–4.6) in time‐period 3. Conclusion: Before, during, and after the lockdown in spring 2020, metabolic control in youth with T1D in Germany did not differ significantly from the preceding year. Further effects of the ongoing pandemic on pediatric T1D patients need to be evaluated. [ABSTRACT FROM AUTHOR]

Neonatal screening for congenital primary hypothyroidism (CH) may not distinguish between transient (TCH) and permanent dysfunction (PCH), causing potential overtreatment and concerns in affected families. To specify the indication for interruption of therapy, we analysed the German registry "HypoDok" for infants with CH, which oversees 1625 patients from 49 participating centres in Germany and Austria from 1997 until today. A total of 357 patients with a thyroid gland in loco typico were identified and retrospectively grouped according to cessation (TCH, n = 24) or continuation (PCH, n = 333) of l-thyroxine (l-T4) treatment at 2 years of age. The receiver operating characteristic (ROC) analysis was performed to identify cutoffs predicting TCH by screening TSH concentrations and l-T4 dosages. Gestational ages, birth weights and prevalence of associated malformations were comparable in both groups. The cutoff screening TSH concentration was 73 mU/L. The cutoff daily l-T4 dosage at 1 year was 3.1 μg/kg (90% sensitivity, 63% specificity; 36 μg/day) and at 2 years of age 2.95 μg/kg (91% sensitivity, 59% specificity; 40 μg/day). At 2 years of age, specificity (71%) increased when both of these parameters were considered together. Conclusion: The decision to continue or cease l-T4 treatment at 2 years of age in CH patients diagnosed in neonatal screening may be based on their screening TSH concentrations and individual l-T4 dosages at 1 and 2 years of age. Thus, TCH and PCH may be distinguished; overtreatment avoided; and affected families reassured. What is Known: • The course of congenital primary hypothyroidism may be transient, causing potential overtreatment. • The dose ofl-thyroxine at 1 or 2 years of age may predict a transient course of primary congenital hypothyroidism. What is New: • TSH screening concentration andl-thyroxine dosages at 1 and 2 years of age represent reliable predictors for transient congenital primary hypothyroidism with higher sensitivity and specificity when considered together in order to select eligible patients who qualify for treatment withdrawal. [ABSTRACT FROM AUTHOR]

Objective: The aim of this study was to investigate the frequency of newly diagnosed type 1 diabetes without evidence of autoimmunity and the respective frequencies of ketoacidosis in children, adolescents, and young adults during the coronavirus disease 2019 (COVID-19) pandemic in Germany compared with the previous decade.Research Design and Methods: Based on data from the German Diabetes Prospective Follow-up Registry (DPV), we compared data from 715 children, adolescents, and young adults, newly diagnosed with type 1 diabetes during the COVID-19 pandemic in Germany between 1 March and 30 June 2020, with data from 5,428 children, adolescents, and young adults of the same periods from 2011 to 2019. Adjusted differences and relative risks (RRs) of negative β-cell autoantibody test results and diabetic ketoacidosis were estimated using multivariable log-binomial regression analysis. An upper noninferiority test (margin 1%) was applied to evaluate whether the autoantibody-negativity rate in 2020 was not higher than that in 2011 to 2019.Results: The estimated frequencies of autoantibody negativity in 2020 and 2011-2019 were 6.6% (95% CI 5.1-8.4) and 7.2% (95% CI 6.5-8.0), respectively, with an absolute difference of -0.68% (90% CI -2.07 to 0.71; Pupper noninferiority = 0.023). The increase of the estimated frequency of diabetic ketoacidosis during the COVID-19 pandemic was similar between autoantibody-negative and -positive type 1 diabetes (adjusted RRs 1.28 [95% CI 0.80-2.05] and 1.57 [1.41-1.75], respectively).Conclusions: This study found no evidence that the COVID-19 pandemic leads to a significantly increased number of new cases with autoantibody-negative type 1 diabetes in children, adolescents, and young adults. In addition, autoantibody-negative type 1 diabetes showed no particular susceptibility to ketoacidosis, neither before nor during the pandemic. [ABSTRACT FROM AUTHOR]

The aim of the study was to explore the metabolic characteristics and outcome parameters in youth with type 1 diabetes and anxiety disorders. HbA1c levels, rates of severe hypoglycemia, diabetic ketoacidosis (DKA), and hospital admission in children, adolescents, and young adults with type 1 diabetes and an anxiety disorder from 431 diabetes‐care‐centers participating in the nationwide German/Austrian/Swiss/Luxembourgian diabetes survey DPV were analyzed and compared with youth without anxiety disorders. Children, adolescents, and young adults with type 1 diabetes and anxiety disorders (n = 1325) had significantly higher HbA1c (8.5% vs. 8.2%), higher rates of DKA (4.2 vs. 2.5 per 100 patient‐years), and higher hospital admission rates (63.6 vs. 40.0 per 100 patient‐years) than youth without anxiety disorders (all p < 0.001). Rates of severe hypoglycemia did not differ. Individuals with anxiety disorders other than needle phobia (n = 771) had higher rates of DKA compared to those without anxiety disorders (4.2 vs. 2.5 per 100 patient‐years, p = 0.003) whereas the rate of DKA in individuals with needle phobia (n = 555) was not significantly different compared to those without anxiety disorders. Children, adolescents, and young adults with anxiety disorders other than needle phobia had higher hospitalization rates (73.7 vs. 51.4 per 100 patient‐years) and more inpatient days (13.2 vs. 10.1 days) compared to those with needle phobia (all p < 0.001). Children, adolescents, and young adults with type 1 diabetes and anxiety disorders had worse glycemic control, higher rates of DKA, and more hospitalizations compared to those without anxiety disorders. Because of the considerable consequences, clinicians should screen for comorbid anxiety disorders in youth with type 1 diabetes. [ABSTRACT FROM AUTHOR]

Aims: We aimed to analyze the relationship between epilepsy and glutamic acid decarboxylase autoantibodies (GADA) in patients with type 1 diabetes mellitus (T1DM) and the impact of GADA on demographic, clinical, and metabolic data in T1DM patients with epilepsy. Methods: We searched for patients with T1DM ≤20 years and GADA measurements, and within this group for patients with epilepsy. We formed groups: T1DM + Epilepsy + GADA positive; T1DM + Epilepsy + GADA negative; T1DM + GADA positive; T1DM + GADA negative. We used logistic regression to analyze the relationship between epilepsy and GADA with odds ratio adjusted for sex, duration of diabetes (DOD), and age at diabetes onset (ADO). We used logistic regression with odds ratio adjusted for DOD and ADO onset using epilepsy as a dependent variable and GADA, HbA1c, ketoacidosis, severe hypoglycemia (SH), sex, celiac disease, and autoimmune thyroiditis as independent variables. We conducted regression analyses adjusted for sex, DOD, and ADO to analyze differences in clinical/metabolic parameters between the groups. Results: Epilepsy was not more frequent in GADA‐positive patients (GPP). Logistic regression including all patients with GADA measurements showed that hypoglycemia with coma (HC) correlated with epilepsy when compared to no SH. We found no differences in clinical and metabolic data between GPP and GADA‐negative patients (GNP) with epilepsy. SH occurred more often in GPP with epilepsy in comparison to GPP without epilepsy. GNP with epilepsy had a higher rate of HC than GPP without epilepsy. Conclusion: We found no relationship between epilepsy and GADA. A relationship between T1DM and epilepsy might be explainable by SH. [ABSTRACT FROM AUTHOR]

The article discusses psychological stress has a known general health risk potentially increasing the risk of type 1 diabetes. Topics include coronavirus disease 2019 and subsequent social distancing have affected biological, psychological, economic, and social aspects of life; and perceived stress caused by feelings of isolation have increased the risk of type 1 diabetes.

Aims: To analyse time-trends in BMI, obesity and cardiometabolic risk in adults with type 1 diabetes (T1DM) from the Diabetes Prospective Follow-up registry DPV.Methods: Data from 62,519 individuals with T1DM (age ≥ 18 years, BMI ≥ 18.5 kg/m2) were analysed. Multivariable regression models were used to determine time-trends in BMI, obesity and cardiometabolic risk and to identify predictors for increasing BMI. Results were compared to the NCD Risk Factor Collaboration (NCD-RisC) data for Germany.Results: Between 1999 and 2018 mean BMI increased from 25.0 kg/m2 to 26.2 kg/m2 in individuals with T1DM. This trend was most pronounced in young and middle-aged individuals (>21-55 years of age) and in those with higher baseline BMI. Insulin dose and diabetes duration were associated with increasing BMI. Between 1999 and 2016, the prevalence of obesity increased 1.8-fold in individuals with T1DM and 1.4-fold among the German population, respectively (NCD-RisC). Approximately 50-70% of individuals with obesity were insufficiently treated for hypertension and/or dyslipidaemia.Conclusion: In adults with T1DM the prevalence of obesity is increasing at a faster pace than in the German population. BMI needs to be closely monitored, particularly during young adulthood, and cardiovascular risk factors need to be controlled better to prevent CVD and premature death. [ABSTRACT FROM AUTHOR]

Purpose: To investigate the psychosocial burden during the COVID-19 pandemic in adolescents with type 1 diabetes and its association with metabolic control., Methods: Prospective multicenter observational cohort study based on data from the German Diabetes Prospective Follow-up Registry. Adolescents aged 12-20 years with type 1 diabetes were asked during routine follow-up visits to complete a questionnaire on psychosocial distress and daily use of electronic media during the COVID-19 pandemic from June 2021 to November 2022. Well-being, anxiety, and depression symptoms were assessed using World Health Organization Five Well-Being Index (WHO-5), General Anxiety Disorder scale 7 (GAD-7), and Patient Health Questionnaire-9 questionnaires. The impact of mental health symptoms on metabolic control was analyzed by using multivariable linear regression models adjusted for sex, diabetes duration, treatment, socioeconomic deprivation, and immigrant background., Results: Six hundred eighty eight adolescents (45.6% females) from 20 diabetes centers participated. Compared with a prepandemic cohort, WHO-5 scores were lower during the COVID-19 pandemic (estimated mean difference -9.6 [95% confidence interval -11.6; -7.6], p < .001), but GAD-7 scores were not different (estimated mean difference 0.6 [95% confidence interval -0.2; 1.5], p = .14). HbA 1c was significantly positively associated with GAD-7 and Patient Health Questionnaire-9 and negatively associated with WHO-5 scores (all p < .001). Daily electronic media use was positively associated with adjusted mental health symptoms (all p < .01)., Discussion: Although the overall well-being of adolescents with type 1 diabetes was reduced during the later phase of the COVID-19 pandemic, the additional psychological burden was relatively low. However, mental health symptoms were associated with poorer metabolic control and higher use of electronic media., (Copyright © 2023 Society for Adolescent Health and Medicine. Published by Elsevier Inc. All rights reserved.)

Objective: Obesity is associated with many cardiovascular risk factors (CVRF) in childhood. There is an ongoing discussion whether there is a linear relationship between degree of overweight and deterioration of CVRFs justifying body mass index (BMI) cut-offs for treatment decisions., Methods: We studied the impact of BMI-SDS on blood pressure, lipids, and glucose metabolism in 76,660 children (aged 5-25 years) subdivided in five groups: overweight (BMI-SDS 1.3 to <1.8), obesity class I (BMI-SDS 1.8 to <2.3), class II (BMI-SDS 2.3-2.8), class III (BMI-SDS > 2.8-3.3), and class IV (BMI-SDS > 3.3). Analyses were stratified by age and sex., Results: We found a relationship between BMI-SDS and blood pressure, triglycerides, HDL cholesterol, liver enzymes, and the triglycerides-HDL-cholesterol ratio at any age and sex. Many of these associations lost significance when comparing children with obesity classes III and IV: In females < 14 years and males < 12 years triglycerides and glucose parameters did not differ significantly between classes IV and III obesity. Prevalence of dyslipidemia was significantly higher in class IV compared to class III obesity only in females ≥ 14 years and males ≥ 12 years but not in younger children. In girls < 14 years and in boys of any age, the prevalences of type 2 diabetes mellitus did not differ between classes III and IV obesity., Conclusions: Since a BMI above the highest BMI cut-off was not associated consistently with dyslipidemia and disturbed glucose metabolism in every age group both in boys and girls, measurements of CVRFs instead of BMI cut-off seem preferable to guide different treatment approaches in obesity such as medications or bariatric surgery.

Introduction: Empagliflozin reduced morbidity and mortality in patients with type 2 diabetes mellitus (T2DM) in clinical trials. A registry study was undertaken to describe evolution of patient characteristics and assess the real-world effectiveness/safety of empagliflozin., Research Design and Methods: Data from the Diabetes Patienten Verlaufsdokumentation (DPV)/Diabetes Versorgungsevaluation (DIVE) registries on 9571 adults with T2DM (registered in 2014-2019) receiving empagliflozin were used. Patients were grouped according to the following: early users (group 1; n=505) received empagliflozin before the EMPA-REG OUTCOME study publication (mid-September 2015); intermediate users (group 2; n=2961) started empagliflozin after the EMPA-REG OUTCOME publication but before the European Medicines Agency label change (from mid-September 2015 to mid-January 2017); and late users (group 3; n=6105) started empagliflozin after mid-January 2017. Data on clinical and treatment characteristics were collected., Results: Over time, the proportion of recipients aged <65 years decreased (71.1% vs 54.4% among early and late adopters), male patients increased (from 50.9% to 66.5%), body mass index (mean±SD) decreased (from 35.5±6.7 to 32.7±6.6 kg/m 2 ), proportion with cardiovascular morbidities increased (from 20.4% to 26.4%), and mean estimated glomerular filtration rate decreased (from 83.2±19.5 to 78.5±21.1 mL/min/1.73 m 2 ) (all p<0.001). Patients increasingly received empagliflozin in combination with metformin (60.8% vs 68.6% of early and late adopters; p<0.001), glucagon-like peptide-1 (GLP-1) agonists (11.0 vs 14.1%; p<0.001) or insulin (34.3% vs 49.9%; p<0.001). Empagliflozin was generally added to existing antidiabetic regimens. Six months after empagliflozin initiation, the mean glycated hemoglobin (HbA1c) decreased by 0.4%, the proportion of patients with HbA1c <6.5% increased (19.2% vs 12.8%), and the mean fasting plasma glucose decreased (155.8±49.7 vs 168.0±55.1 mg/dL) (all p<0.001). No significant changes in rates of severe hypoglycemia and no cases of diabetic ketoacidosis were seen., Conclusions: Over time, empagliflozin is being prescribed to a broader patient range in routine practice, is usually added to existing antidiabetic regimens, and is increasingly used in combination with metformin, GLP-1 agonists and/or insulin. Empagliflozin had a beneficial effect on glycemic control, with no increase in hypoglycemia., Competing Interests: Competing interests: JS and TD report grants and personal fees from Abbott, AstraZeneca, and Sanofi, outside the submitted work. PB reports to have received research support from the funders of DIVE. MG, JF and LL are employees of Boehringer Ingelheim. SRT, CW, KK, DR, RW-L, DE, and JH have no competing interests to disclose., (© Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)