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Serum procalcitonin: A novel tumor biomarker for diagnosis and disease monitoring in fibrolamellar hepatocellular carcinoma
No full textInternational audienc
Non-invasive ventilation: interpretation of ventilator supplied data
No full textInternational audienceBackground The increasing number of patients treated by long-term non-invasive ventilation (NIV) challenges the capacity of specialised centres to perform in-hospital follow-up evaluations and requires, therefore, from the clinician a thorough and critical appraisal of the information provided by ventilator software as an important component of follow-up assessment. A systematic approach of the information is required along with a knowledge of the limitations in the reliability of some parameters and the variability in modes of reporting, which may be confusing. Methods This review reports the summary of observations made by a multinational group of experts in this field (SomnoNIV) over several years, and the relevant items from the medical literature. Results We suggest a framework for a systematic approach of items provided by ventilator software, as well as a discussion of the different modes of reporting physiological variables according to manufacturers and pitfalls associated with some variables. An extensive iconography is included to illustrate and explicit the presentation of respiratory events occurring under NIV (impact of leaks, different patient-ventilator asynchronies, impact of inappropriate settings). Conclusion The analysis of the detailed tracings provided by the ventilator, and, importantly, the knowledge that these signals are modified and processed by the ventilator software and are not raw data, is important for the understanding of patient-ventilator interaction
Mobility-driven synthetic contact matrices as a scalable solution for real-time pandemic response modeling
No full textInternational audienceAbstract Accurately capturing time-varying human behavior remains a major challenge for real-time epidemic modeling and response. During the COVID-19 pandemic, synthetic contact matrices derived from mobility and behavioral data emerged as a scalable alternative to empirical contact surveys, yet their comparative performance remained unclear. Here, we systematically evaluate synthetic and empirical age-stratified contact matrices in France from March 2020 to May 2022, comparing contact patterns and their ability to reproduce observed epidemic dynamics. While both sources captured similar temporal trends in contacts, empirical matrices recorded 3.4 times more contacts for individuals under 19 than synthetic matrices during school-open periods. The model parameterized with synthetic matrices provided the best fit to hospital admissions and best captured hospitalization patterns for adolescents, adults, and seniors, whereas deviations remained for children across both models. Neither matrix allowed models to fully reproduce serological trends in children, highlighting the challenges both approaches face in capturing their disease-relevant contacts. The weekly update of synthetic matrices enabled smoother reconstructions of hospitalization trends during transitional phases, while empirical matrices required strong assumptions between survey waves. These findings support synthetic matrices as a reliable, flexible, cost-effective operational tool for real-time epidemic modeling, and highlight the need for routine collection of age-stratified mobility data to improve pandemic response
Metastasis-directed therapy and standard of care versus standard of care for oligometastatic prostate cancer (WOLVERINE): a systematic review and individual patient data meta-analysis from the X-MET collaboration
No full textInternational audienc
Temporal patterns of adolescent screen time and compulsive internet use in Moroccan high school students
No full textInternational audienc
Communication as a core non-technical skill in pediatric surgery: existing frameworks and potential implementation in training programs
No full textInternational audienc
Chemical composition and snow physical properties of 35 profiles in a snow trench at Dome C, East Antarctica (2019)
No full textInternational audienceThe data set provides the chemical composition and physical snow properties of a 50m long and 1.5m deep snow trench sampled at Concordia Station (Dome C) in December 2019. The chemistry data includes 35 profiles of concentration of anions (SO42− ,NO2^−, NO3−, MSA, Cl−, Br−, oxalate, F−, acetate and formate) and cations (Li+, Na+, NH4+, K+, Mg2+, and Ca2+). 31 profiles where sampled at 3 cm resolution and 4 profiles are sampled at 1.5 cm resolution. The measurements were carried out at Institut des Geosciences de l'Environnement (IGE), Grenoble and Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung, Bremerhaven. Throughout the files, trench snow pits are labeled by the letter "P" followed by their horizontal distance in meters to the left-most profile of the trench, from P0 to P50. The physical properties include 33 snow density and specific surface area (SSA) profiles and 201 Snow Micro Pen (SMP) measurements (Schneebeli et al., 1999) to estimate snow hardness. SSA was measured at 3 cm resolution using ASSSAP (Arnaud et al., 2011, Libois et al. (2014). Snow density was measured at 3 cm resolution using a scale and squared metal sampler tool with a known volume. SSA and density were measured along the same profiles as chemistry, except for P0.3 and P47.7 who share the same SSA and density profiles as P0 and P48, respectively. SMP measurements were realized every 25 cm along the trench (201 profiles). The vertical resolution is extremely fine (0.004 mm) but the measurements were averaged at 1 cm resolution to obtain a macroscopic significance. The snow hardness probe was set to penetrate up to 150 cm, but it stopped earlier for several profiles due to too hard layers, leaving a few incomplete profiles
Vers une phénoménologie clinique du deuil à travers la notion de portance
No full textInternational audienc
Tracking inflammation to predict coronary artery calcium progression after breast radiotherapy: The role of C-reactive protein
No full textPart of special issue - 36th European SFC DaysInternational audienceIntroductionRadiation therapy (RT) for breast cancer (BC) is associated with long-term cardiovascular risk, including coronary artery disease. Inflammation is a key mechanism linking RT to atherosclerosis, yet the clinical utility of inflammatory biomarkers in predicting coronary calcification post-RT remains unclear.ObjectiveTo evaluate associations between longitudinal changes in inflammatory biomarkers and coronary artery calcium (CAC) progression after RT in chemotherapy-naïve BC patients.MethodThe study was based on BC patients from the BACCARAT cohort treated with RT without chemotherapy. Inflammatory biomarkers (CRP, IL-6, TNF-α, fibrinogen) were measured at baseline, end of RT, and 6- and 24-months post-RT. CAC scores were assessed by cardiac CT before RT and at 24 months. Due to a highly skewed CAC distribution, a two-step approach was used to analyze CAC progression: (1) CAC progression status (any increase vs. none), and (2) extent of CAC change (log-transformed difference) among CAC progressors. Generalized linear models using GEE were adjusted for cardiovascular risk factors and RT dose.ResultsThe cohort included 101 patients with mean age at inclusion of 58.4 ± 8.1 years. For the outcome of CAC progression status, no baseline biomarker was significantly associated. However, CRP change at the end of RT was significantly associated with CAC progression status (OR = 1.32, 95% CI: 1.06–1.65), corresponding to a 32% increased risk per 1 mg/L CRP increase. Furthermore, 6-month sustained CRP elevation — defined as elevated CRP both at the end of RT and at 6 months post-RT — was associated with a 3.5-fold increased risk of CAC progression. Among CAC progressors, a U-shaped relationship was observed between baseline CRP and extent of CAC change (β1 for linear trend = −1.28, 95% CI: −2.14 to −0.41; β2 for quadratic trend = 0.19, 95% CI: 0.06–0.33). Patients with 6-month sustained CRP elevation also showed greater CAC change (β = 1.29, 95% CI: 0.32–2.27) independent of baseline CRP level.ConclusionBoth baseline CRP and its 6-month post-RT trajectory were independently associated with CAC progression, suggesting that dynamic inflammation may play a role in radiation-induced coronary injury. Serial CRP monitoring may represent a simple, non-invasive strategy to identify high-risk patients in cardio-oncology