Publications by authors named "Fabienne Marechal"

Objective: Blood-biomarkers have the potential to aid clinicians in pediatric emergency departments (PED) in managing children with mild traumatic brain injury (mTBI) acutely. However, studies focusing on pediatric populations remain limited. We aim to assess the performances of two routinely used biomarkers in other fields: the neurofilament light chain protein (NfL), and the N-terminal prohormone of brain natriuretic peptide (NTproBNP), to safely discharge children without intracranial injuries (ICIs).

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Children are highly vulnerable to mild traumatic brain injury (mTBI). Blood biomarkers can help in their management. This study evaluated the performances of biomarkers, in discriminating between children with mTBI who had intracranial injuries (ICIs) on computed tomography (CT+) and (1) patients without ICI (CT-) or (2) both CT- and in-hospital-observation without CT patients.

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Article Synopsis
  • This study looks at blood markers that can help doctors tell how serious a mild brain injury (mTBI) is in kids.
  • Researchers checked levels of certain markers (IL6, IL8, IL10) in 285 children with mTBI and found that IL6 is particularly helpful for figuring out which kids need further tests.
  • The results show that IL6 is a good indicator for children with mTBI, helping doctors make better decisions about their care, especially for those who haven’t had a CT scan.
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Objectives: To comprehensively analyze the quality of the antibody response between children with Multisystem inflammatory syndrome (MIS-C) and age-matched controls at one month after SARS-CoV-2 exposure, and infected in the same time-period.

Methods: Serum from 20 MIS-C children at admission, and 14 control children were analyzed. Antigen specific antibody isotypes and subclasses directed against various antigens of SARS-CoV-2 as well as against human common coronavirus (HCoVs) and commensal or pathogenic microorganisms were assessed by a bead-based multiplexed serological assay and by ELISA.

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Tele-epidemiology consists in studying human and animal epidemic, the spread of which is closely tied to environmental factors, using data from earth-orbiting satellites. By combining various data originated from satellites such as SPOT (vegetation indexes), Meteosat (winds and cloud masses) and other Earth observation data from Topex/Poseidon and Envisat (wave height, ocean temperature and colour) with hydrology data (number and distribution of lakes, water levels in rivers and reservoirs) and clinical data from humans and animals (clinical cases and serum use), predictive mathematical models can be constructed. A number of such approaches have been tested in the last three years.

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