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A Prospective Cohort Study to Identify Clinical, Biological, and Imaging Features That Predict the Etiology of Acute Encephalitis

Authors :
Daniel Da Silva
Vincent Roubeau
Patricia Pavese
Jean-Paul Mira
Rafael Mahieu
Heidi Wille
Lydie Khatchatourian
Charlotte Biron
Geneviève Blanchet-Fourcade
Romain Lefaucheur
Laurent Argaud
Arnaud Seigneurin
Guillaume Baille
Eugénie Mutez
Hélène Brasme
Morgan Matt
Amandine Gagneux-Brunon
Alexandra Mailles
Thibaut Fraisse
Morgane Le Bras
Céline Cazorla
Isabelle Pierre
Anne Bonnetain
Hélène Savini
Nathalie Marin
Isabelle Runge
Pierre Fillatre
Mathilde Reveillon-Istin
Mathieu Godement
Cédric Bruel
Martin Martinot
Xavier Argemi
Saber Touati
Emmanuel Forestier
M. Hentzien
Jérome Honnorat
Capucine Diard-Detoeuf
Nathalie Pansu
Yvon Ruch
Thècle Degroote
Alexandre Mas
Guillaume Louis
Bernard Castan
Thomas Guimard
Aurélien Dinh
Marc-Olivier Vareil
Pierre Jaquet
Aurélie Richard-Mornas
Thibault Challan-Belval
Paul Le Turnier
Aurélie Martin
Frédéric Bourdain
Catherine Chirouze
Pascal Chavanet
Carole Henry
François Goehringer
Alain Makinson
Fabrice Bruneel
Anne Pachart
Manuela Le Cam
Johan Courjon
Elisabeth Botelho-Nevers
Pierre Tattevin
Emilie Piet
Eric Denes
Jean-Louis Herrmann
Philippe Casenave
Rodolphe Buzele
Marion Le Maréchal
Laurence Maulin
Thomas De Broucker
Agnès Riché
Sylvain Rheims
Olivier Epaulard
Solene Patrat-Delon
Aurélie Baldolli
Valentin Greigert
Isabelle Gueit
Anne-Sophie Lecompte
Nicolas Gaillard
Marie Froidure
Guillaune Marc
Dimitri Psimaras
Nathalie Asseray
Charles Cazanave
Etienne Canouï
Jean-Etienne Herbrecht
Alexandre Thibault Jacques Maria
Romain Sonneville
Patrice Morand
Jessica Krause
Jean-Marie Turmel
Tomasz Tchroboczek
Kelly Tiercelet
Gwenael Le Moal
Arnaud de la Blanchardiere
Thomas Baudry
Jean-Paul Stahl
Simon Gravier
Frédéric Méchaï
Diane Ponscarme
Christelle Lucas
Laurent Almoyna-Martinez
Colin Deschanvres
Olivier Lesieur
Véronique Pelonde-Erimée
Raphaël Lecomte
David Boutoille
Sophie Abgrall
Jérémie Orain
Philippe Lesprit
François Raffi
Magalie Vidal-Roux
Mathieu Blot
Michael Bonnan
Arnaud Galbois
V. Vitrat
Olivier Bouchaud
Guillaume Martin-Blondel
Mathieu Zuber
Stéphanie Lejeune
Solen Kernéis
Hélène Pellerin
Isabelle Tyvaert
Mathilde Puges
Xavier Lescure
Philippe Mateu
Marine Delaroche
Fanny Jomier
Julien Biberon
Pascale Goubin
Benjamin Gaborit
Etienne De Montmollin
Centre Hospitalier Universitaire [Grenoble] (CHU)
Santé publique France - French National Public Health Agency [Saint-Maurice, France]
CHU Pontchaillou [Rennes]
ARN régulateurs bactériens et médecine (BRM)
Université de Rennes 1 (UR1)
Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )
French Infectious Diseases Society
Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )
Source :
Clinical Infectious Diseases, Clinical Infectious Diseases, Oxford University Press (OUP), 2021, 73 (2), pp.264-270. ⟨10.1093/cid/ciaa598⟩, Clinical Infectious Diseases, 2021, 73 (2), pp.264-270. ⟨10.1093/cid/ciaa598⟩
Publication Year :
2021
Publisher :
HAL CCSD, 2021.

Abstract

Background New diagnostic tools have been developed to improve the diagnosis of infectious encephalitis. Using a prospective cohort of encephalitis patients, our objective was to identify possible clusters of patients with similar patterns among encephalitis of unknown cause (EUC) and to describe to what extent a patient’s initial presentation may be predictive of encephalitis etiology, particularly herpes simplex virus (HSV) and varicella-zoster virus (VZV). Methods The National Cohort of Infectious Encephalitis in France is an ongoing prospective cohort study implemented in France in 2016. Patients who present with documented or suspected acute infectious encephalitis were included. Focusing on the variables that describe the initial presentation, we performed a factor analysis of mixed data (FAMD) to investigate a pattern of association between the initial presentation of a patient and the etiologic pathogen. Results As of 1 August 2018, data from 349 patients were analyzed. The most frequent pathogens were HSV (25%), VZV (11%), tick-borne encephalitis virus (6%), Listeria (5%), influenza virus (3%), and EUC (34%). Using the FAMD, it was not possible to identify a specific pattern related to the group of EUC. Age, temporal or hemorrhagic lesions, and cerebral spinal fluid lymphocytosis were significantly associated with HSV/VZV encephalitis. Conclusions No initial clinical/imaging/biology pattern was identified at admission among EUC, despite the improvement in diagnostic tools. In this context, the recommendation for a universal, early, probabilistic, initial treatment against HSV and VZV is still relevant, regardless of the initial clinical presentation of the encephalitis.

Details

Language :
English
ISSN :
10584838 and 15376591
Database :
OpenAIRE
Journal :
Clinical Infectious Diseases, Clinical Infectious Diseases, Oxford University Press (OUP), 2021, 73 (2), pp.264-270. ⟨10.1093/cid/ciaa598⟩, Clinical Infectious Diseases, 2021, 73 (2), pp.264-270. ⟨10.1093/cid/ciaa598⟩
Accession number :
edsair.doi.dedup.....d10c54e44211c50e0acf44ec587dc855