Mental disorders in children and adolescents with type 1 diabetes before and during the COVID-19 pandemic: results from the DPV registry.

OBJECTIVES: The COVID-19 pandemic affected the mental health of children and adolescents in the general population, yet its impact on those with chronic conditions is relatively unknown. This study aimed to compare the incidences of comorbid mental disorders and substance misuse in children and adolescents with type 1 diabetes before and during the pandemic. METHODS: A total of 42,975 patients aged 6-18 years from the multicentre DPV (Diabetes prospective follow-up) registry were included. Multivariable regression models were applied to compare newly diagnosed comorbid mental disorders, adjusted for demographic and clinical variables, among them the number of medical visits, during the pre-pandemic period (09/2017-02/2020) and the COVID-19 pandemic period (03/2020-08/2022). RESULTS: Analysing both sexes together, there were no differences in the incidence rates of overall mental disorders between the pandemic and the pre-pandemic period. However, girls showed an increased incidence rate (odds ratio 1.2, CI 1.1-1.3) during the pandemic. Adolescent girls also displayed higher incidence rates of depression, eating disorders, and self-harm. Substance misuse declined overall during the pandemic (odds ratio 0.8, CI 0.7-0.9). CONCLUSIONS: During the COVID-19 pandemic, we found higher incidence rates of overall mental disorders in girls, but not in boys and not in the total study population of children and adolescents with type 1 diabetes. Adolescent girls displayed increased incidence rates of depression, eating disorders, and self-harm. Substance misuse declined substantially. Clinicians should be aware of the high-risk group of adolescent girls during times of increased strain.

Continuous glucose monitoring in older adults with diabetes: Data from the diabetes prospective follow-up (DPV) registry.

AIMS: To analyse predictors for continuous glucose monitoring (CGM) use in people with diabetes aged ≥60 years using insulin therapy and to assess the rates of CGM use during recent years (2019-2021). RESEARCH DESIGN AND METHODS: Prospective study including 6849 individuals with diabetes and insulin therapy (type 2 diabetes: n = 5320; type 1 diabetes: n = 1529) aged ≥60 years. Data from 129 treatment centres were retrieved from the Diabetes Prospective Follow-up Registry (DPV) in March 2023. RESULTS: Sensor use in individuals aged ≥60 years has increased in type 1 (2019: 28%, 2020: 39%, 2021: 45%) and type 2 diabetes (2019: 10%, 2020: 16%, 2021: 18%). Predictors for sensor use in older individuals with type 1 diabetes are younger age and CSII use (p < 0.001). Predictors in older individuals with type 2 diabetes are younger age, longer diabetes duration, higher BMI and CSII use (p < 0.001). CONCLUSIONS: CGM has become more common in older adults with diabetes and will presumably increase further. Age is a predictor for sensor use in older adults with diabetes. Age-related physical barriers and insufficient usability of devices, lack of interest in technologies, but possibly also effects of prejudice on the grounds of age may contribute to this finding.

Introduction of a New ex vivo Porcine Coronary Artery Model: Evaluation of the Direct Vascular Injury after Stent Implantation with and without Dogbone Effect.

INTRODUCTION: Neointimal hyperplasia after percutaneous coronary intervention remains a major determinant of in-stent restenosis (ISR). The extent of mechanical vessel injury correlates with ISR. A new ex vivo porcine stent model was introduced and evaluated comparing different stent designs. METHODS: Coronary arteries were prepared from pig hearts from the slaughterhouse and used for ex vivo implantations of coronary stents. One basic stent design in two configurations (dogbone, DB; nondogbone, NDB) was used. Vascular injury was determined according to a modified injury score (IS). RESULTS: Standardized experimental conditions ensured comparable vessel dimensions and overstretch data. DB stents caused more severe IS compared to NDB stents. The mean IS and the IS at the distal end of all stents were significantly reduced for NDB stents (ISMean, DB, 1.16 ± 0.12; NDB, 1.02 ± 0.12; p = 0.018; ISDist, DB, 1.39 ± 0.28; NDB, 1.13 ± 0.24; p = 0.03). DISCUSSION/CONCLUSION: The introduced ex vivo model allowed the evaluation of different stent designs, which exclude unfavorable stent designs.

Correction: A computational reproducibility study of PLOS ONE articles featuring longitudinal data analyses.

[This corrects the article DOI: 10.1371/journal.pone.0251194.].

CARE REGIO - Digital Transformation and Technology in Nursing Care.

Digital technologies have the potential to improve the quality of nursing care. CARE REGIO is a Bavarian joint research project for digital transformation and technology in nursing care. The project goals are supporting the nursing staff, saving time, improving the quality of care as well as increasing the quality of life and safety of those in need of care. In Phase 1 of the project, literature and stakeholder analyses, and qualitative surveys were carried out. Subsequently, central fields of action were defined for Phase 2 of the project. CARE REGIO can make a significant contribution to evaluating existing digital solutions, developing new solutions, and accelerating their implementation into practice.

A computational reproducibility study of PLOS ONE articles featuring longitudinal data analyses.

Computational reproducibility is a corner stone for sound and credible research. Especially in complex statistical analyses-such as the analysis of longitudinal data-reproducing results is far from simple, especially if no source code is available. In this work we aimed to reproduce analyses of longitudinal data of 11 articles published in PLOS ONE. Inclusion criteria were the availability of data and author consent. We investigated the types of methods and software used and whether we were able to reproduce the data analysis using open source software. Most articles provided overview tables and simple visualisations. Generalised Estimating Equations (GEEs) were the most popular statistical models among the selected articles. Only one article used open source software and only one published part of the analysis code. Replication was difficult in most cases and required reverse engineering of results or contacting the authors. For three articles we were not able to reproduce the results, for another two only parts of them. For all but two articles we had to contact the authors to be able to reproduce the results. Our main learning is that reproducing papers is difficult if no code is supplied and leads to a high burden for those conducting the reproductions. Open data policies in journals are good, but to truly boost reproducibility we suggest adding open code policies.

Digitalizing Nursing in the Bavarian Swabia Region of Germany - Presentation of the Joint Project CARE REGIO.

The joint research project CARE REGIO aims to modernize the care system with digital solutions. We focus on the development of a uniform electronic care record, uniform data exchange between care facilities, and technical assistive systems, which shall all be unified in a standardized care-based storage solution.

Time trends in dyspepsia and association with H. pylori and work-related stress-An observational study in white collar employees in 1996 and 2015.

PURPOSE: We aimed to describe time trends in functional dyspepsia and the association of dyspepsia-related factors, Helicobacter pylori (H. pylori) and work-related stress with functional dyspepsia in white collar employees in 1996 and 2015. MATERIALS AND METHODS: Repeat cross-sectional study conducted in 1996 (n = 190, response rate = 76.1) and 2015 (n = 195, response rate = 40.2) within a health insurance company in South-West Germany. Dyspeptic symptoms measured according to the Rome III criteria, effort-reward imbalance and further work- or dyspepsia-related factors were assessed by self-administered questionnaire. H. pylori infection as possible factor for dyspeptic symptoms was measured by a 13C-urea breath test or an antigen stool test. Kruskal-Wallis tests and multivariable logistic regression models were calculated comparing the upper tertile of dyspeptic symptom scale to the middle and lower tertile. RESULTS: Mean dyspepsia symptom scores and work-related stress did not differ comparing 1996 and 2015. In bivariate analyses, dyspeptic symptom scores were consistently correlated with sex, age, and using antacids. Further dyspepsia-related factors were smoking and non-leading occupational position in 1996 and non-steroidal anti-inflammatory drugs as well as high effort-reward imbalance in 2015. High intrinsic effort was positively associated with high dyspepsia symptom scores in both studies. Following multivariable adjustment, we observed a consistent association between high intrinsic effort at work and dyspeptic symptoms, although the association was only marginally statistically significant in 1996. Furthermore, a strong association of somatization, only measured in 2015, with dyspeptic symptoms was shown. CONCLUSIONS: Dyspepsia-related factors may have changed throughout the last decades. Nevertheless, although occupational situations might differ, the intrinsic effort is still strongly associated with dyspeptic symptoms.

Improved Thin-Film Transistor Performance Through a Melt of Poly(para-phenyleneethynylene).

The performance of polymer field-effect transistors (PFETs) based on short rigid rod semiconducting poly(2,5-didodecyloxy-p-phenyleneethynylene) (D-OPPE) is highlighted. The controlled heating and cooling of thin films of D-OPPE allows for a recrystallization from the melt, boosting the performance of D-OPPE-based transistors. The improved film properties induced by controlled annealing lead to a hole field-effect mobility around 0.014 cm2 V-1 s-1 , an on/off ratio of 106 , a sub-threshold swing of 3 V dec-1 and a threshold voltage of -35 V, employing a poly(methyl methacrylate) (PMMA) gate dielectric. Thus, PFETs out of D-OPPE compete now with spin-coated, polycrystalline poly(3-hexylthiophene)-based PFETs.