Publications by authors named "Pischon T"

The detection of norm deviations is fundamental to clinical decision making and impacts our ability to diagnose and treat diseases effectively. Current normative modeling approaches rely on generic comparisons and quantify deviations in relation to the population average. However, generic models interpolate subtle nuances and risk the loss of critical information, thereby compromising effective personalization of health care strategies.

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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.

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  • This study explores the use of advanced deep learning methods to automatically measure body composition from whole-body MRI scans, aiming to assess their ability to predict mortality in the general population.
  • The investigation was based on data from two large Western European cohort studies, focusing on key body composition metrics such as subcutaneous and visceral adipose tissue, skeletal muscle, and intramuscular fat.
  • Results indicate significant associations between several volumetric body composition measures and mortality risk, highlighting the potential of automated techniques to improve clinical outcomes related to cardiometabolic diseases and cancer.
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Beyond obesity, visceral adipose tissue (VAT) has emerged as an important predictor of chronic disease, but the role of diet quality patterns (DQP) in VAT development is not well defined. Therefore, we conducted a systematic review of how various DQP are associated with VAT via literature searches in PubMed and EMBASE. We included observational investigations in disease-free adults/adolescents that related DQP to VAT assessed by imaging methods.

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Experimental research has uncovered lipocalin 2 (LCN2) as a novel biomarker implicated in the modulation of intestinal inflammation, metabolic homeostasis, and colon carcinogenesis. However, evidence from human research has been scant. We, therefore, explored the association of pre-diagnostic circulating LCN2 concentrations with incident colorectal cancer (CRC) in a nested case-control study within the in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort.

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Objectives: Introducing SPINEPS, a deep learning method for semantic and instance segmentation of 14 spinal structures (ten vertebra substructures, intervertebral discs, spinal cord, spinal canal, and sacrum) in whole-body sagittal T2-weighted turbo spin echo images.

Material And Methods: This local ethics committee-approved study utilized a public dataset (train/test 179/39 subjects, 137 female), a German National Cohort (NAKO) subset (train/test 1412/65 subjects, mean age 53, 694 female), and an in-house dataset (test 10 subjects, mean age 70, 5 female). SPINEPS is a semantic segmentation model, followed by a sliding window approach utilizing a second model to create instance masks from the semantic ones.

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  • Endothelial dysfunction (ED) is linked to atherosclerosis and may also relate to cognitive disorders, raising questions about its influence on postoperative cognitive issues in older adults.
  • The study involved 788 participants aged 65 and older undergoing elective surgery, where blood samples were taken to measure five ED biomarkers, and patients were assessed for postoperative delirium (POD) and cognitive dysfunction (POCD) three months post-surgery.
  • Results showed that while 19.8% developed POD and 10.1% experienced POCD, the ED biomarkers were not significantly linked to POD risk, but higher levels of VCAM-1 were oddly associated with lower POCD risk, indicating a need for further research on these findings.
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  • The long-term health impacts of playing professional football (soccer) are gaining attention, particularly concerning brain health, but cardiovascular, metabolic diseases, and cancer also need to be studied.
  • A new project called 'SoccHealth' is being conducted as part of Germany’s largest cohort study, NAKO, examining the health of 348 former professional football players aged 40-69.
  • This project aims to provide insights into the long-term health effects of football by comparing the football players' health data with general population controls, using a consistent examination protocol.
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Background: Magnetic resonance imaging (MRI) yields important information on the development and current status of many different diseases. Whole-body MRI was accordingly made a part of the multicenter, population-based NAKO Health Study. The present analysis concerns the feasibility of the baseline MRI examination and various aspects of quality assurance over the period 2014-2019.

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Background: Health-related quality of life (HRQL) has become an important outcome parameter in cardiology. The MOS 36-ltem Short-Form Health Survey (SF-36) and the PROMIS-29 are two widely used generic measures providing composite HRQL scores. The domains of the SF-36, a well-established instrument utilized for several decades, can be aggregated to physical (PCS) and mental (MCS) component summary scores.

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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.

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Background: A number of biomarkers denoting various pathophysiological pathways have been implicated in the aetiology and risk of age-related diseases. Hence, the combined impact of multiple biomarkers in relation to ageing free of major chronic diseases, such as cancer, cardiovascular disease and type 2 diabetes, has not been sufficiently explored.

Methods: We measured concentrations of 13 biomarkers in a random subcohort of 2,500 participants in the European Prospective Investigation into Cancer and Nutrition Potsdam study.

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  • - Insufficient physical activity (PA) is a major risk factor for non-communicable diseases and has significant economic impacts on healthcare systems; this study analyzed the cost differences between varying levels of PA in Germany.
  • - Data was collected from over 157,000 participants using the Global Physical Activity Questionnaire to assess their PA levels and categorize them as sufficient or insufficient, with costs calculated from self-reported health resource use and productivity losses.
  • - Findings showed that individuals with insufficient PA incurred higher average annual healthcare costs and that these cost differences were more pronounced in older adults, particularly concerning leisure activities, suggesting different cost implications based on the type of PA.
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Background: Perioperative neurocognitive disorders (NCD) are poorly characterized in terms of their risk factor profiles. Leptin and adiponectin are adipose-tissue-derived hormones with a role in inflammation and atherosclerosis whose function in perioperative NCD is unclear. Here, we used a cohort of older adults to examine the association of preoperative plasma concentrations of these biomarkers with the risk of perioperative NCD.

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Background: Multiple Sclerosis (MS) represents the most common inflammatory neurological disease causing disability in early adulthood. Childhood and adolescence factors might be of relevance in the development of MS. We aimed to investigate the association between various factors (e.

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Large population-based cohort studies utilizing device-based measures of physical activity are crucial to close important research gaps regarding the potential protective effects of physical activity on chronic diseases. The present study details the quality control processes and the derivation of physical activity metrics from 100 Hz accelerometer data collected in the German National Cohort (NAKO). During the 2014 to 2019 baseline assessment, a subsample of NAKO participants wore a triaxial ActiGraph accelerometer on their right hip for seven consecutive days.

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Objective: To determine the association between personality characteristics and use of different cancer screenings.

Methods: We used data from the German National Cohort (NAKO; mean age was 53.0 years (SD: 9.

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Background: Population-wide research on potential new imaging biomarkers of the kidney depends on accurate automated segmentation of the kidney and its compartments (cortex, medulla, and sinus).

Methods: We developed a robust deep-learning framework for kidney (sub-)segmentation based on a hierarchical, three-dimensional convolutional neural network (CNN) that was optimized for multiscale problems of combined localization and segmentation. We applied the CNN to abdominal magnetic resonance images from the population-based German National Cohort (NAKO) study.

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Introduction: Family history of depression and childhood maltreatment are established risk factors for depression. However, how these factors are interrelated and jointly influence depression risk is not well understood. The present study investigated (i) if childhood maltreatment is associated with a family history of depression (ii) if family history and childhood maltreatment are associated with increased lifetime and current depression, and whether both factors interact beyond their main effects, and (iii) if family history affects lifetime and current depression via childhood maltreatment.

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To compare health service use (HSU) between migrants and non-migrants in Germany. Using data from the population-based German National Cohort (NAKO), we compared the HSU of general practitioners, medical specialists, and psychologists/psychiatrists between six migrant groups of different origins with the utilization of non-migrants. A latent profile analysis (LPA) with a subsequent multinomial regression analysis was conducted to characterize the HSU of different groups.

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Identifying immune modulators that impact neutralizing antibody responses against severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) is of great relevance. We postulated that high serum concentrations of soluble angiotensin-converting enzyme 2 (sACE2) might mask the spike and interfere with antibody maturation toward the SARS-CoV-2-receptor-binding motif (RBM). We tested 717 longitudinal samples from 295 COVID-19 patients and showed a 2- to 10-fold increase of enzymatically active sACE2 (a-sACE2), with up to 1 μg/mL total sACE2 in moderate and severe patients.

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Article Synopsis
  • - Past research indicates that brain atrophy can increase following surgery, and inflammation may play a role in neurodegeneration.
  • - The study analyzed data from older patients undergoing major surgery to see how changes in interleukin (IL) levels before and after surgery relate to atrophy in the Nucleus basalis magnocellularis (NBM), impacting cognitive outcomes.
  • - Findings revealed significant links between elevated postoperative IL8 and IL18 levels and increased NBM atrophy after three months, while overall NBM volume positively correlated with cognitive performance but not short-term cognitive changes post-surgery.
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Background: Structural disconnectivity was found to precede dementia. Global white matter abnormalities might also be associated with postoperative delirium (POD).

Methods: We recruited older patients (≥65 years) without dementia that were scheduled for major surgery.

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Background: Obesity is a worldwide health problem. We conducted detailed analyses of anthropometric measures in a comprehensive, population-based, current cohort in Germany.

Methods: In the German National Cohort (NAKO), we analyzed cross-sectional data on body mass index (BMI), waist and hip circumference, subcutaneous (SAT) and visceral adipose tissue (VAT) as measured by ultrasound, and body fat percentage.

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