23 research outputs found
Diabetes and gender incongruence: frequent mental health issues but comparable metabolic control – a DPV registry study
ContextThe condition when a person’s gender identity does not match the sex assigned at birth is called gender incongruence (GI). Numbers of GI people seeking medical care increased tremendously over the last decade. Diabetes mellitus is a severe and lifelong disease. GI combined with diabetes may potentiate into a burdensome package for affected people.ObjectiveThe study aimed to characterize people with GI and diabetes from an extensive standardized registry, the Prospective Diabetes Follow-up Registry (DPV), and to identify potential metabolic and psychological burdens.MethodsWe compared demographic and clinical registry data of persons with type 1 or type 2 diabetes and GI to those without GI and used propensity score matching (1:4) with age, diabetes duration and treatment year as covariates.Results75 persons with GI, 49 with type 1 and 26 with type 2 diabetes were identified. HbA1c values were similar in matched persons with type 1 or 2 diabetes and GI compared to those without GI. Lipid profiles showed no difference, neither in type 1 nor in type 2 diabetes. Diastolic blood pressure was higher in the type 1 and GI group than in those without, whereas systolic blood pressure showed comparable results in all groups. Depression and anxiety were significantly higher in GI people (type 1 and 2). Non-suicidal self-injurious behaviour was more common in type 1 and GI, as was suicidality in type 2 with GI.ConclusionMental health issues are frequent in people with diabetes and GI and need to be specially addressed in this population
Early vs late histological confirmation of coeliac disease in children with new-onset type 1 diabetes
AIM
Screening for coeliac disease in asymptomatic children with new-onset type 1 diabetes is controversial. The aim of this study was to analyse whether the confirmation of coeliac disease in children with new-onset type 1 diabetes and positive screening results can be postponed.
METHODS
This was a multicentre population-based cohort study based on the German/Austrian/Swiss/Luxembourgian Prospective Diabetes Follow-up Registry (Diabetes Patienten Verlaufsdokumentation [DPV]). Participants aged ≤18 years diagnosed with type 1 diabetes between 1995 and June 2021 and with elevated IgA tissue transglutaminase antibodies (anti-tTGA) at diabetes onset on screening for coeliac disease were included. We compared outcomes of participants with a diabetes duration of more than 1 year between those in whom coeliac disease was confirmed histologically within the first 6 months and those in whom coeliac disease was confirmed between 6 and 36 months after diabetes diagnosis.
RESULTS
Of 92,278 children and adolescents with a diagnosis of type 1 diabetes, 26,952 (29.2%) had documented anti-tTGA data at diabetes onset. Of these, 2340 (8.7%) had an elevated anti-tTGA level. Individuals who screened positive were younger (median age 9.0 vs 9.8 years, p<0.001) and more often female (53.1% vs 44.4%, p<0.001). A total of 533 participants (22.8% of those who screened positive) had a documented biopsy, of whom 444 had documented histological confirmation of coeliac disease. Of 411 participants with biopsy-proven coeliac disease within the first 36 months of diabetes and follow-up data, histological confirmation was performed in 264 (64.2%) within the first 6 months and in 147 (35.8%) between 6 and 36 months after diabetes onset. At follow-up (median diabetes duration 5.3 years and 5.1 years, respectively), estimated median HbA1c levels (62.8 mmol/mol vs 62.2 mmol/mol [7.9% vs 7.8%]), cardiovascular risk markers (lipids, rate of microalbuminuria, blood pressure), rates of acute diabetes complications (diabetic ketoacidosis, severe hypoglycaemia) and the proportions of participants reaching anti-tTGA levels within the normal range did not differ between groups. Participants with delayed histological confirmation of coeliac disease showed no negative effects on growth or weight gain during the observation period.
CONCLUSIONS
Our study suggests that the histological confirmation of coeliac disease in asymptomatic individuals with new-onset type 1 diabetes could be postponed
Type 1 diabetes mellitus and SARS-CoV-2 in pediatric and adult patients - Data from the DPV network.
BACKGROUND
Data on patients with type 1 diabetes mellitus (T1DM) and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections are sparse. This study aimed to investigate the association between SARS-CoV-2 infection and T1DM.
METHODS
Data from the Prospective Diabetes Follow-up (DPV) Registry were analyzed for diabetes patients tested for SARS-CoV-2 by polymerase chain reaction (PCR) in Germany, Austria, Switzerland, and Luxembourg during January 2020-June 2021, using Wilcoxon rank-sum and chi-square tests for continuous and dichotomous variables, adjusted for multiple testing.
RESULTS
Data analysis of 1855 pediatric T1DM patients revealed no differences between asymptomatic/symptomatic infected and SARS-CoV-2 negative/positive patients regarding age, new-onset diabetes, diabetes duration, and body mass index. Glycated hemoglobin A1c (HbA1c) and diabetic ketoacidosis (DKA) rate were not elevated in SARS-CoV-2-positive vs. -negative patients. The COVID-19 manifestation index was 37.5% in individuals with known T1DM, but 57.1% in individuals with new-onset diabetes. 68.8% of positively tested patients were managed as outpatients/telemedically. Data analysis of 240 adult T1MD patients revealed no differences between positively and negatively tested patients except lower HbA1c. Of these patients, 83.3% had symptomatic infections; 35.7% of positively tested patients were hospitalized.
CONCLUSIONS
Our results indicate low morbidity in SARS-CoV-2-infected pediatric T1DM patients. Most patients with known T1DM and SARS-CoV-2 infections could be managed as outpatients. However, SARS-CoV-2 infection was usually symptomatic if it coincided with new-onset diabetes. In adult patients, symptomatic SARS-CoV-2 infection and hospitalization were associated with age
Disease heterogeneity of adult diabetes based on routine clinical parameters at diagnosis: Results from the German/Austrian DPV registry.
AIMS
To cluster adults with diabetes using parameters from real-world clinical care at manifestation.
MATERIALS AND METHODS
We applied hierarchical clustering using Ward's method to 56,869 adults documented in the Prospective Diabetes Follow-up Registry (DPV). Clustering variables included age, sex, BMI, HbA1c, diabetic ketoacidosis (DKA), components of the metabolic syndrome (hypertension/dyslipidemia/hyperuricemia), and beta-cell antibody status. Time until use of oral antidiabetic drugs (OAD), use of insulin, chronic kidney disease (CKD), cardiovascular disease (CVD), retinopathy, or neuropathy were assessed using Kaplan Meier analysis and Cox regression models.
RESULTS
We identified eight clusters: Four clusters comprised early diabetes onset (median age between 40 and 50 years), but differed with regard to BMI, HbA1c, DKA and antibody positivity. Two clusters included adults with diabetes onset in their early 60s who met target HbA1c, but differed in BMI and sex distribution. Two clusters were characterized by late diabetes onset (median age 69 and 77 years) and relatively low BMI, but differences in HbA1c. Earlier insulin use was observed in adults with high HbA1c, and earlier OAD use was observed in those with high BMI. Time until CKD or CVD was shorter in those with late onset, whereas retinopathy occurred earlier in adults with late onset and high HbA1c, and in adults with early onset, but high HbA1c and high percentage of antibody positivity.
CONCLUSIONS
Adult diabetes is heterogeneous beyond classical type 1/type 2 diabetes, based on easily available parameters in clinical practice using an automated clustering algorithm which allows both continuous and binary variables. This article is protected by copyright. All rights reserved
Worse glycemic control, higher rates of diabetic ketoacidosis, and more hospitalizations in children, adolescents, and young adults with type 1 diabetes and anxiety disorders
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
Predictors of transient congenital primary hypothyroidism: data from the German registry for congenital hypothyroidism (AQUAPE “HypoDok”)
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
Estimated Glomerular Filtration Rates Calculated by New and Old Equations in Children and Adolescents With Type 1 Diabetes-What to Do With the Results?
Background: To apply and evaluate various equations for estimated glomerular filtration rates (eGFR) in a large paediatric type 1 diabetes population and compare the eGFR values with urinary creatinine clearances (UCC) in a subset of patients. Methods: Six eGFR formulae applicable for children and adolescents were used for calculation of eGFR values in 36,782 children/adolescents with type 1 diabetes. Via regression models, factors influencing eGFR values were identified. eGFR values were compared with measured UCC in 549 patients. Spearman correlation coefficients were given to assess the relation of eGFR and UCC values. Bland-Altman-Plots with corresponding linear regression were drawn to evaluate the agreement between eGFR and UCC. Results: eGFR values differed widely depending on the formula used, resulting in a percentage of pathological values <60 mL/min/1.73 m2 up to 8%. Regression models showed age, sex, and duration of diabetes as influencing factors. Microalbuminuria was associated with significantly higher eGFR values for all formulae. In comparison of eGFR with UCC, the highest correlation coefficient was 0.33, the lowest 0.01. Bland-Altman-Plots demonstrated graphically a poor agreement between eGFR and UCC, regardless of the formula used. Conclusions: The broad range of eGFR values indicate that an ideal eGFR formula for children and adolescence with T1D is yet missing. The minimal agreement between measured UCC and eGFR values urges us to be careful in application and interpretation of eGFR values regardless of the formula used
Lower HbA1c targets are associated with better metabolic control
Van Loocke, Marlies/0000-0003-3443-0482; Davis, Elizabeth/0000-0003-4244-5473WOS:000605862500003PubMed: 33415466Previous studies have suggested that clear HbA1c target setting by the diabetes team is associated with HbA1c outcomes in adolescents. The aim of this study was to evaluate whether this finding is consistent in a larger cohort of children from centers participating in the SWEET international diabetes registry. A questionnaire was sent out to 76 SWEET centers, of which responses from 53 pediatric centers were included (70%). Descriptive outcomes were presented as median with lower and upper quartile. The association between the centers' target HbA1c and mean outcome HbA1c was calculated using linear regression adjusted for age, diabetes duration, sex, and gross domestic product. Median age of the children in the studied centers (n = 35,483) was 13.3 [12.6-14.6] years (49% female). of the 53 centers, 13.2% reported an HbA1c target between 6.0 and 6.5%, 32.1% had a target between >= 6.0 and 7.0%, 18.9% between >= 7.0 and 7.5%, and 3.8% between >= 7.5 and 8.5%. No specific target value was reported by 32.1% of all centers. Median HbA1c across all centers was 7.9 [7.6-8.3] %. Adjusted regression analysis showed a positive association between HbA1c outcome and target HbA1c (p = 0.005). Conclusions: This international study demonstrated that a lower target for HbA1c was associated with better metabolic control. It is unclear whether low target values result in better metabolic control, or lower HbA1c values actually result in more ambitious target values. This target setting could contribute to the differences in HbA1c values between centers and could be an approach for improving metabolic outcomes. What is Known: center dot Target setting of HbA1c is important in children and adolescents with type 1 diabetes. center dot The optimal therapeutic approach of children with type 1 diabetes requires a trained multidisciplinary team. What is New: center dot Lower HbA1c targets are associated with better metabolic control. center dot No associations between the composition of the diabetes teams and metabolic control could be demonstratedAbbott GmbH; Boehringer IngelheimPharmaGmbH Co. KGBoehringer Ingelheim; Dexcom Operating LTD; Insulet International Ltd; Eli Lilly Italia S.p.A.Eli Lilly; MEDTRONIC International Trading Sarl; Sanofi Aventis GroupeThis work was supported by the SWEET corporate members, namely: Abbott GmbH, Boehringer IngelheimPharmaGmbH& Co. KG, Dexcom Operating LTD, Insulet International Ltd, Eli Lilly Italia S.p.A., MEDTRONIC International Trading Sarl, and Sanofi Aventis Groupe. The content is solely the responsibility of the authors and does not necessarily represent the official views of the corporate members
Sex differences over time for glycemic control, pump use and insulin dose in patients aged 10-40 years with type 1 diabetes: a diabetes registry study.
INTRODUCTION
To evaluate sex differences in people with type 1 diabetes concerning changes in glycemic control and trends in insulin pump use and insulin dose over two decades in adolescents and one-and-a-half decades in adults.
RESEARCH DESIGN AND METHODS
People aged 10-20 years (data years 1999-2018) and 21-40 years (data years 2004-2018) with type 1 diabetes were identified in the Diabetes Prospective Follow-up Registry (DPV). All available patients' data sets of the respective period were used for linear regression analyses to investigate trends in HbA1c, pump use, insulin doses and body mass index SD scores (BMI-SDS) in females and males. In addition, stratification by migrant background was made for the adolescent group.
RESULTS
In the youth group (n=68 662), both boys and girls showed an HbA1c decrease over the period examined. After stratification for migrant background, an HbA1c convergence between boys and girls was seen in those without migrant background as of 2016. Usage of insulin pumps increased continuously from 3% (boys and girls) to 47% (boys) and 54% (girls), respectively. The daily insulin dose in units per kilogram body weight and day increased continuously from 1999 to 2018. An insulin dose leveling between boys and girls occurred. BMI-SDS consistently increased in girls whereas only slight variations were observed in boys.The adult group (n=15 380) showed constant HbA1c sex differences from 2004 to 2018 with lower HbA1c level in females. The use of insulin pump therapy rose from 18% to 35% (males) and 30% to 50% (females).
CONCLUSIONS
The gap in metabolic control between boys and girls with type 1 diabetes seems to close, but predominantly in adolescents without a migrant background. Improved HbA1c was associated with increased insulin pump use, especially in girls.In adult patients, sex differences in metabolic control and insulin pump use persist: women show constantly lower HbA1c values and higher insulin pump use