Transplant-Free Approach in Relapsed Hodgkin Lymphoma in Children, Adolescents, and Young Adults: A Nonrandomized Clinical Trial.

Importance: Retrieval strategies for children, adolescents, and young adults with relapsed classic Hodgkin lymphoma (cHL) aim to maintain efficacy while minimizing long-term toxic effects. Children, adolescents, and young adults with low-risk, relapsed cHL may benefit from replacing high-dose chemotherapy and autologous stem cell transplant with less intensive involved-site radiotherapy (ISRT).

Objective: To evaluate a risk-stratified, response-adapted, transplant-free approach for treatment of children, adolescents, and young adults with low-risk relapsed cHL with nivolumab plus brentuximab vedotin (BV) followed by BV plus bendamustine for patients with suboptimal response and ISRT (30.

Transplant and Nontransplant Salvage Therapy in Pediatric Relapsed or Refractory Hodgkin Lymphoma: The EuroNet-PHL-R1 Phase 3 Nonrandomized Clinical Trial.

Importance: The current standard-of-care salvage therapy in relapsed/refractory classic Hodgkin lymphoma (cHL) includes consolidation high-dose chemotherapy (HDCT)/autologous stem cell transplant (aSCT).

Objective: To investigate whether presalvage risk factors and fludeoxyglucose-18 (FDG) positron emission tomography (PET) response to reinduction chemotherapy can guide escalation or de-escalation between HDCT/aSCT or transplant-free consolidation with radiotherapy to minimize toxic effects while maintaining high cure rates.

Design, Setting, And Participants: EuroNet-PHL-R1 was a nonrandomized clinical trial that enrolled patients younger than 18 years with first relapsed/refractory cHL across 68 sites in 13 countries in Europe between January 2007 and January 2013.

Low income, being without employment, and living alone: how they are associated with cognitive functioning-Results from the German national cohort (NAKO).

Aim was to investigate to what extent cognitive functioning differs by three socioeconomic conditions: low income, being without employment, and living alone. A total of N = 158,144 participants of the population-based German National Cohort (NAKO) provided data on socioeconomic conditions and completed cognitive tests. Multivariable confounder-adjusted regression analyses indicated that cognitive functioning was lower in those with low income (b = -0.

Novel travel time aware metapopulation models and multi-layer waning immunity for late-phase epidemic and endemic scenarios.

In the realm of infectious disease control, accurate modeling of the transmission dynamics is pivotal. As human mobility and commuting patterns are key components of communicable disease spread, we introduce a novel travel time aware metapopulation model. Our model aims to enhance estimations of disease transmission.

A unified framework for diagnostic test development and evaluation during outbreaks of emerging infections.

Evaluating diagnostic test accuracy during epidemics is difficult due to an urgent need for test availability, changing disease prevalence and pathogen characteristics, and constantly evolving testing aims and applications. Based on lessons learned during the SARS-CoV-2 pandemic, we introduce a framework for rapid diagnostic test development, evaluation, and validation during outbreaks of emerging infections. The framework is based on the feedback loop between test accuracy evaluation, modelling studies for public health decision-making, and impact of public health interventions.

Perspectives of general practitioners and practice nurses on nurse-led patient consultations and dose changes of permanent medications-results of a focus group study.

Background: Shifting tasks from General practitioners (GPs) to practice nurses (PNs) could help address the shortage of GPs in Europe. Internationally, PN-led care (PNLC) is feasible and offers similar health outcomes to usual care. However, PN-led consultations (PN-cons) or as PN-led dosage changes for permanent medication (PN-DCPM) are uncommon in German general practice offices (GPO).

Post-COVID recovery is faster after an infection with the SARS-CoV-2 Omicron variant: a population-based cohort study.

Purpose: Post-COVID-19 condition (PCC) poses a substantial burden to affected individuals, health care systems, and society as a whole. We examined factors associated with recovery from PCC, focusing on the vaccination status prior to infection and the virus variant.

Methods: Our analyses are based on the population-based cohort study for digital health research in Germany (DigiHero).

Web-based telemedicine approach for treatment of post-COVID-19 in Thuringia (WATCH).

Objective: After infection with SARS-CoV-2, a substantial proportion of patients develop long-lasting sequelae. These sequelae include fatigue (potentially as severe as that seen in ME/CFS cases), cognitive dysfunction, and psychiatric symptoms. Because the pathophysiology of these sequelae remains unclear, existing therapeutic concepts address the symptoms through pacing strategies, cognitive training, and psychological therapy.

Semi-automated title-abstract screening using natural language processing and machine learning.

Background: Title-abstract screening in the preparation of a systematic review is a time-consuming task. Modern techniques of natural language processing and machine learning might allow partly automatization of title-abstract screening. In particular, clear guidance on how to proceed with these techniques in practice is of high relevance.

Latent classes of learners in people with type 2 diabetes, stratified by educational status: A cross-sectional study.

Objective: Research suggests that people with type 2 diabetes (PWT2D) exhibit different approaches to learning about disease-management. This study's aims to identify distinct learner groups among PWT2D and stratify them by educational status (ES).

Methods: Cross-sectional data from 227 PWT2D, collected through 46 Likert-scale questions on learning behaviors, preferences, and attitudes, were analyzed using latent class analysis, to identify learner groups.

Modeling Chronic Disease Mortality by Methods From Accelerated Life Testing.

We propose a parametric model for describing chronic disease mortality from cohort data and illustrate its use for Type 2 diabetes. The model uses ideas from accelerated life testing in reliability theory and conceptualizes the occurrence of a chronic disease as putting the observational unit to an enhanced stress level, which is supposed to shorten its lifetime. It further addresses the issue of semi-competing risk, that is, the asymmetry of death and diagnosis of disease, where the disease can be diagnosed before death, but not after.

User profiles in digitalized healthcare: active, potential, and rejecting - a cross-sectional study using latent class analysis.

Background: There is evidence of different use by different groups of people for general health-related applications. Yet, these findings are lacking for digitalized healthcare services. It is also unclear whether typical use patterns can be found and how user types can be characterized.

Differential associations between SARS-CoV-2 infection, perceived burden of the pandemic and mental health in the German population-based cohort for digital health research.

Understanding the potential adverse effects of the COVID-19-pandemic on mental health remains a challenge for public health. Differentiation between potential consequences of actual infection with SARS-CoV-2 and the subjective burden of the pandemic due to measures and restrictions to daily life still remains elusive. Therefore, we investigated the differential association between infection with SARS-Cov-2 and subjective burden of the pandemic in a study cohort of 7601 participants from the German population-based cohort for digital health research (DigiHero), who were recruited between March 4th and April 25th 2022.

Physicians' Attitudes Towards Artificial Intelligence: Results of the PEAK Project.

Artificial intelligence (AI) is rapidly reshaping the medical field. This study aimed to investigate the attitudes of physicians towards AI in medical care using focus groups. Most participants seemed to be open to the use of AI in medicine if transparency in AI systems is ensured, regulatory barriers are addressed and personal contact to the patient is maintained.

Preoperative Chemoradiotherapy vs Chemotherapy for Adenocarcinoma of the Esophagogastric Junction: A Network Meta-Analysis.

Importance: The prognosis of patients with adenocarcinoma of the esophagus and esophagogastric junction (AEG) is poor. From current evidence, it remains unclear to what extent preoperative chemoradiotherapy (CRT) or preoperative and/or perioperative chemotherapy achieve better outcomes than surgery alone.

Objective: To assess the association of preoperative CRT and preoperative and/or perioperative chemotherapy in patients with AEG with overall survival and other outcomes.

Household transmission of Omicron variant of SARS-CoV-2 under conditions of hybrid immunity-a prospective study in Germany.

Purpose: We investigated the protection offered by vaccinations and previous infections for the household transmission of Omicron variant of SARS-CoV-2.

Methods: 34,666 participants of the German DigiHero cohort study with two or more household members were invited to a prospective household transmission study between June and December 2022. In case of a positive SARS-CoV-2 test in a household, symptom diaries were completed for at least 14 days.

Likelihood of Post-COVID Condition in people with hybrid immunity; data from the German National Cohort (NAKO).

Objectives: The risk of Post-COVID-19 condition (PCC) under hybrid immunity remains unclear.

Methods: Using data from the German National Cohort (NAKO Gesundheitsstudie), we investigated risk factors for self-reported post-infection symptoms (any PCC is defined as having at least one symptom, and high symptom burden PCC as having nine or more symptoms).

Results: Sixty percent of 109,707 participants reported at least one previous SARS-CoV-2 infection; 35% reported having had any symptoms 4-12 months after infection; among them 23% reported nine or more symptoms.

Fertility-Preserving Treatments and Patient- and Parental Satisfaction on Fertility Counseling in a Cohort of Newly Diagnosed Boys and Girls with Childhood Hodgkin Lymphoma.

Purpose: The purpose of this study is to evaluate the use of fertility-preserving (FP) treatments and fertility counseling that was offered in a cohort of newly diagnosed children with classical Hodgkin lymphoma (cHL).

Methods: In this observational study, boys and girls with cHL aged ≤ 18 years with scheduled treatment according to the EuroNet-PHL-C2 protocol were recruited from 18 sites (5 countries), between January 2017 and September 2021. In 2023, a subset of Dutch participants (aged ≥ 12 years at time of diagnosis) and parents/guardians were surveyed regarding fertility counseling.

Impact of QRS misclassifications on heart-rate-variability parameters (results from the CARLA cohort study).

Background: Heart rate variability (HRV), an important marker of autonomic nervous system activity, is usually determined from electrocardiogram (ECG) recordings corrected for extrasystoles and artifacts. Especially in large population-based studies, computer-based algorithms are used to determine RR intervals. The Modular ECG Analysis System MEANS is a widely used tool, especially in large studies.

An online, two-day educational seminar had no impact on disease-specific knowledge in patients with systemic sclerosis.

Systemic sclerosis (SSc) is a multifaceted disease, and its diagnosis triggers substantial anxiety and uncertainty for those affected. Currently, there are no valid data describing the impact of disease-specific patient education on the disease knowledge available. We created a two-day, online educational seminar to provide SSc patients with disease-specific information.

Pediatric and Adolescent Hodgkin Lymphoma: Paving the Way for Standards of Care and Shared Decision Making.

Hodgkin lymphoma (HL) is a treatable cancer with an incidence peak in adolescent and young adult years. Treatment strategies have been developed to balance the intensity of therapy needed to maintain disease-free survival while simultaneously preserving overall survival. Risk-based, response-adapted frontline therapy has long used a combination of chemotherapy and radiotherapy (RT).