Framework and baseline examination of the German National Cohort (NAKO)

The German National Cohort (NAKO) is a multidisciplinary, population-based prospective cohort study that aims to investigate the causes of widespread diseases, identify risk factors and improve early detection and prevention of disease. Specifically, NAKO is designed to identify novel and better characterize established risk and protection factors for the development of cardiovascular diseases, cancer, diabetes, neurodegenerative and psychiatric diseases, musculoskeletal diseases, respiratory and infectious diseases in a random sample of the general population. Between 2014 and 2019, a total of 205,415 men and women aged 19–74 years were recruited and examined in 18 study centres in Germany. The baseline assessment included a face-to-face interview, self-administered questionnaires and a wide range of biomedical examinations. Biomaterials were collected from all participants including serum, EDTA plasma, buffy coats, RNA and erythrocytes, urine, saliva, nasal swabs and stool. In 56,971 participants, an intensified examination programme was implemented. Whole-body 3T magnetic resonance imaging was performed in 30,861 participants on dedicated scanners. NAKO collects follow-up information on incident diseases through a combination of active follow-up using self-report via written questionnaires at 2–3 year intervals and passive follow-up via record linkages. All study participants are invited for re-examinations at the study centres in 4–5 year intervals. Thereby, longitudinal information on changes in risk factor profiles and in vascular, cardiac, metabolic, neurocognitive, pulmonary and sensory function is collected. NAKO is a major resource for population-based epidemiology to identify new and tailored strategies for early detection, prediction, prevention and treatment of major diseases for the next 30 years. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10654-022-00890-5

Entwicklung von Online-Self-Assessments für Studiengänge der Ingenieurwissenschaften an der TU Dresden

Ein Online-Self-Assessment (OSA) für Studieninteressierte ist ein webbasierter Selbsteinschätzungstest, der künftigen Studierenden eine realistische Selbsteinschätzung und eine darauf aufbauende, fundierte Studienwahl ermöglichen soll. Solch ein Test umfasst Aufgaben und Fragen (sogenannte Items), die von den Studieninteressierten selbstständig bearbeitet werden. Das Feedback auf den bearbeiteten Test unterstützt die Studieninteressierten bei ihrer Studienwahl, indem sie eine Einschätzung zu ihren orhandenen Kompetenzen, Fähigkeiten, Interessen und Erwartungen bezogen auf die tatsächlichen Anforderungen, Inhalte und Rahmenbedingungen des favorisierten Studiengangs erhalten. Das OSA wirkt unterstützend in der Studienorientierungsphase und fördert frühzeitig eine bewusste Studienwahlentscheidung. [Aus der Einleitung

Pipeline for the Creation of Surface-based Averaged Brain Atlases

Digital atlases of the brain serve as a spatial reference frame which can be used to relate data from different image modalities and experiments. In this paper we describe a standardized pipeline for the creation of extendable surface-based anatomical insect brain atlases from 3D image data of a population of individuals. The pipeline consists of the major steps imaging and preprocessing, segmentation, averaging, surface reconstruction, and surface simplification. At first, 3D image data sets from confocal microscopy are resized, stitched, and initially displayed using standard image processing and visualization tools. Then brain structures, such as neuropils and neurons, are labeled by means of manual segmentation and line extraction algorithms. The averaging step comprises affine and elastic registration and a mean shape selection strategy. Finally non-manifold surfaces of the labeled and aligned structures are reconstructed using a generalized surface reconstruction algorithm. These surfaces are simplified and adapted to further needs by decimation and retriangulation. The chosen methods of each step are adequate for a variety of data. We propose an iterative application of the pipeline in order to build the atlas in a hierarchical fashion, integrating successively more levels of detail. The approach is applied in several different neurobiological research fields

Phase 2 Single-arm Trial of Primary Retroperitoneal Lymph Node Dissection in Patients with Seminomatous Testicular Germ Cell Tumors with Clinical Stage IIA/B (PRIMETEST)

BACKGROUND Primary retroperitoneal lymph node dissection (RPLND) for clinical stage (CS) IIA/B seminoma without adjuvant treatment is an experimental treatment to avoid radiotherapy- or chemotherapy-related toxicity from standard treatment. OBJECTIVE The PRIMETEST trial aimed to prospectively evaluate the oncological efficacy and surgical safety of primary RPLND. DESIGN, SETTING, AND PARTICIPANTS PRIMETEST is a single-arm, single-center prospective phase 2 trial. Patients with seminoma, unilateral retroperitoneal lymph node metastases <5 cm, and human chorionic gonadotropin levels <5 mU/ml were included. Patients with CS IIA/B seminoma at initial diagnosis, and recurrence under active surveillance or following adjuvant carboplatin for CS I disease were eligible. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS Unilateral open or robot-assisted primary RPLND was performed. The primary endpoint of the study was progression-free survival (PFS) after 36 mo. The trial was considered positive if <30% of patients experienced a recurrence. RESULTS AND LIMITATIONS Between 2016 and 2021, 33 patients were accrued (nine with primary CS IIA/B, 19 recurrences during active surveillance, and five recurrences following adjuvant carboplatin). Thirteen and 20 patients had CS IIA and IIB, respectively. Open and robot-assisted RPLND procedures were performed in 14 (42%) and 19 (58%) patients, respectively. After a median follow-up of 32 mo (interquartile range 23-46), ten recurrences were detected (30%, 95% confidence interval: 16-49%); thus, the primary endpoint was not met. Infield recurrences occurred in three of ten patients. The current analysis of risk factors could not identify the predictors of recurrence. Three of 33 patients (9%) presented with pN0. CONCLUSIONS The PRIMETEST trial did not meet its primary endpoint. Nevertheless, PFS of 70% after a median follow-up of 32 mo suggests this approach to be of interest for highly selected patients. Selection criteria, however, need to be defined and validated in a larger prospective cohort of patients. Until then, surgery alone for the treatment of patients with CS IIA/B seminoma cannot be recommended outside of a clinical trial setting. PATIENT SUMMARY In this study, we investigated primary surgery as an alternative to conventional treatment (chemotherapy or radiation therapy) in patients with metastatic seminoma. The primary objective of the study, to prevent at least 30% of patients from recurrence, was not met. However, certain patients may benefit from this approach and thereby avoid chemotherapy or radiation therapy. Predictive factors need to be analyzed to better select patients for this surgery-only approach

Lungenfunktion in der NAKO Gesundheitsstudie: Methoden und erste Ergebnisse

Background A nationwide assessment of the respiratory status on the basis of standardized lung function measurements has so far not been available in Germany. The present work describes the lung function tests in the German National Cohort (GNC) and presents initial results based on the GNC Midterm Baseline Dataset. Material and Methods The assessment of lung function in the GNC comprised spirometry (level 1) and the determination of exhaled nitric oxide (FeNO, level 2). Our quality assurance concept included regular training of lung function test procedures at various GNC sites, interim evaluations of test quality, as well as regular calibration/measurement checks of test equipment. For spirometry, we established a stepwise procedure for offline quality control based on raw flow volume curves. Results In the present dataset (n& x202f;= 101,734), spirometry was available for 86,893 study participants and FeNO was available for 15,228 participants. The average (+/- SD) FEV1 Z score (according to GLI 2012) was -0.321& x202f;+/- 1.047, the FVC Z score was -0.153& x202f;+/- 0.941, and the FEV1/FVC Z score was -0.337& x202f;+/- 0.901. The difference in FEV1/FVC between current smokers and never-smokers increased with age. The average FeNO was 14.2& x202f;divided by 2.0& x202f;ppb. Current smoking reduced FeNO levels by 43%, whereas respiratory allergy increased FeNO levels by 16% in nonsmokers. Discussion The results of spirometry and the FeNO measurements are in the expected range with regard to their distributions and correlates. The GNC provides a valuable basis for future investigations of respiratory health and its determinants as well as research into the prevention of respiratory diseases in Germany

[Lung function in the German National Cohort: methods and initial results].

In the present dataset (n = 101,734), spirometry was available for 86,893 study participants and FeNO was available for 15,228 participants. The average (±SD) FEV1 Z score (according to GLI 2012) was -0.321 ± 1.047, the FVC Z score was -0.153 ± 0.941, and the FEV1/FVC Z score was -0.337 ± 0.901. The difference in FEV1/FVC between current smokers and never-smokers increased with age. The average FeNO was 14.2 ÷ 2.0 ppb. Current smoking reduced FeNO levels by 43%, whereas respiratory allergy increased FeNO levels by 16% in nonsmokers

Anthropometrische Messungen in der NAKO Gesundheitsstudie: mehr als nur Größe und Gewicht

High levels of adiposity in the population have a major impact on various diseases, but previous epidemiologic studies have largely been restricted to simple anthropometric measures such as the body mass index (BMI), an imperfect predictor of disease risk. There is a critical need for the use of improved measures of relative weight and body composition in large-scale, population-based research. The current article presents initial descriptive results of body composition and fat distribution based on the midterm baseline dataset of the German National Cohort, which included 101,817 participants who were examined in 18 study centers in Germany between March 2014 and March 2017. The anthropometric measures encompassed body weight, height, waist and hip circumference, bioelectrical impedance analysis (BIA), sonography of abdominal adipose tissue, 3D-body scanning, and magnetic resonance imaging. BMI analyses showed that 46.2% of men and 29.7% of women were overweight and 23.5% of men and 21.2% of women were obese. On average, women in almost all age groups demonstrated more subcutaneous adipose tissue layer thickness than men. The mean values of visceral adipose tissue layer thickness, on the other hand, were higher among men than among women in all age groups and increased continuously across age groups in both sexes. The comprehensive assessment of body composition and fat distribution provides novel future opportunities for detailed epidemiologic analyses of overweight and adiposity in relation to the development of chronic diseases. © 2020, The Author(s)

Framework and baseline examination of the German National Cohort (NAKO)

The German National Cohort (NAKO) is a multidisciplinary, population-based prospective cohort study that aims to investigate the causes of widespread diseases, identify risk factors and improve early detection and prevention of disease. Specifically, NAKO is designed to identify novel and better characterize established risk and protection factors for the development of cardiovascular diseases, cancer, diabetes, neurodegenerative and psychiatric diseases, musculoskeletal diseases, respiratory and infectious diseases in a random sample of the general population. Between 2014 and 2019, a total of 205,415 men and women aged 19–74 years were recruited and examined in 18 study centres in Germany. The baseline assessment included a face-to-face interview, self-administered questionnaires and a wide range of biomedical examinations. Biomaterials were collected from all participants including serum, EDTA plasma, buffy coats, RNA and erythrocytes, urine, saliva, nasal swabs and stool. In 56,971 participants, an intensified examination programme was implemented. Whole-body 3T magnetic resonance imaging was performed in 30,861 participants on dedicated scanners. NAKO collects follow-up information on incident diseases through a combination of active follow-up using self-report via written questionnaires at 2–3 year intervals and passive follow-up via record linkages. All study participants are invited for re-examinations at the study centres in 4–5 year intervals. Thereby, longitudinal information on changes in risk factor profiles and in vascular, cardiac, metabolic, neurocognitive, pulmonary and sensory function is collected. NAKO is a major resource for population-based epidemiology to identify new and tailored strategies for early detection, prediction, prevention and treatment of major diseases for the next 30 years