Evaluation of prognostic scores for respiratory syncytial virus infection in a French multicentre cohort of allogeneic haematopoietic stem cell transplantation recipients

Autor: Louise Bondeelle, Slim Fourati, Charles Soler, Anne-Laure Houist, Jean-Hugues Dalle, Sylvie Chevret, Maud Salmona, Tereza Coman, Franck Griscelli, Anne Bergeron, Jérôme LeGoff, Véronique Houdouin, Régis Peffault de Latour, Christine Robin, Frédéric Rivière

Publikováno v: Bone Marrow Transplantation

Haematopoietic stem cell transplantation (HSCT) recipients are at risk for severe respiratory syncytial virus (RSV) infection. Two prognostic scores have been proposed to predict the risk of progression from upper respiratory tract infection (URTI) t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a0c4c25db254dc2b738004ceaac8191d
http://europepmc.org/articles/PMC8454013

Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patients

Autor: Paul Trichelair, Kathryn Schutte, Etienne Bendjebbar, Thomas Clozel, Nathalie Lassau, Sagar Verma, Gilles Wainrib, Simon Jégou, Remy Dubois, Frank Chemouni, Gabriel Garcia, Yingping Li, Annabelle Stoclin, Samer Soliman, Imad Bousaid, Paul Jehanno, Fabien Brulport, Hugo Gortais, Olivier Meyrignac, Jocelyn Dachary, Marie-Pauline Talabard, Emilie Chouzenoux, Ana Neacsu, Matthieu Terris, Fabrice Barlesi, Matthieu Devilder, Mikael Azoulay, Hugues Talbot, Kavya Gupta, Paul Herent, Olivier Dehaene, Franck Griscelli, Jean-Baptiste Schiratti, Michael G. B. Blum, Adrian Gonzalez, Jean-Christophe Pesquet, Nicolas Tetelboum, Corinne Balleyguier, Nicolas Loiseau, Marie-France Bellin, Samy Ammari, Elodie Pronier, Tasnim Dardouri, Emmanuel Planchet, Yannick Boursin, Meriem Sefta, Jean-Philippe Lamarque, Mansouria Merad

Publikováno v: Nature Communications, Vol 12, Iss 1, Pp 1-11 (2021)
Nature Communications
Nature Communications, Nature Publishing Group, In press, 12 (634), ⟨10.1038/s41467-020-20657-4⟩
Nature Communications, In press, 12 (634), ⟨10.1038/s41467-020-20657-4⟩
Nature Communications, inPress, 12 (634), ⟨10.1038/s41467-020-20657-4⟩

The SARS-COV-2 pandemic has put pressure on intensive care units, so that identifying predictors of disease severity is a priority. We collect 58 clinical and biological variables, and chest CT scan data, from 1003 coronavirus-infected patients from

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f576b5625b6c6de034b395dc10637890
https://doaj.org/article/76a7a97e4e24414e8fad1e1e8183cf07

Accuracy assessment of total or IgG Immunoglobulin to hepatitis A virus tests around immunity threshold

Autor: Lina Mouna, Sepideh Akhavan, Abir Jadoui, Stéphane Chevaliez, Franck Griscelli, Syria Laperche, Anne-Marie Roque-Afonso

Publikováno v: Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology. 146

Anti-hepatitis A virus (HAV) antibody titers at 20 IU/L are assumed to correlate with protection against HAV challenge.We examined the accuracy and precision of currently in use immunoassays for total or anti-HAV IgG determination, by repeated testin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::465b342e34736b42dae802210d34b59c
https://pubmed.ncbi.nlm.nih.gov/34954664

Cancer surgery during the COVID‐19 pandemic: The experience of a comprehensive cancer center performing preoperative screening by RT‐PCR and chest CT scan

Autor: Philippe Sitbon, Charles Honoré, Françoise Rimareix, Stéphanie Suria, Joanne Guerlain, Fabienne Haroun, Sebastien Gouy, Antoine Moya-Plana, Corinne Balleyguier, Thierry de Baere, Stéphane Temam, Philippe Gorphe, Bertrand Gachot, Ingrid Breuskin, Nadia Benmoussa, Alexandra Voicu, Franck Griscelli, Samy Ammari, Gabriel Garcia

Publikováno v: Journal of Surgical Oncology

Background and objectives During the worldwide pandemic of coronavirus disease 2019 (COVID-19), oncological procedures considered to be urgent could not be delayed, and a specific procedure was required to continue surgical activity. The objective wa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4bc585bbe1dce064f3d560f7d95b1803

AI-based multi-modal integration (ScanCov scores) of clinical characteristics, lab tests and chest CTs improves COVID-19 outcome prediction of hospitalized patients

Autor: Simon Jégou, Jean-Philippe Lamarque, Matthieu Devilder, Paul Jehanno, Emilie Chouzenoux, Etienne Bendjebbar, Frank Chemouni, Sagar Verma, Nicolas Loiseau, Thomas Clozel, Franck Griscelli, Yannick Boursin, Imad Bousaid, Marie-Pauline Talabard, Elodie Pronier, Matthieu Terris, Tasnim Dardouri, Emmanuel Planchet, Olivier Dehaene, Jocelyn Dachary, Kathryn Schutte, Gilles Wainrib, Olivier Meyrignac, Corinne Balleyguier, Michael G. B. Blum, Yingping Li, Hugues Talbot, Mikael Azoulay, Fabien Brulport, Meriem Sefta, Fabrice Barlesi, Mansouria Merad, Remy Dubois, Samer Soliman, Paul Trichelair, Marie-France Bellin, Gabriel Garcia, Adrian Gonzalez, Jean-Christophe Pesquet, Nicolas Tetelboum, Samy Ammari, Nathalie Lassau, Ana Neacsu, Paul Herent, Jean-Baptiste Schiratti, Annabelle Stoclin, Hugo Gortais, Kavya Gupta

With 15% of severe cases among hospitalized patients​, the SARS-COV-2 pandemic has put tremendous pressure on Intensive Care Units, and made the identification of early predictors of future severity a public health priority. We collected​ ​ cli

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f1b408c431a3cc55d94074d9d9a15f5
https://doi.org/10.1101/2020.05.14.20101972