Seasonal burden of severe influenza virus infection in the critically ill patients, using the Assistance Publique-Hôpitaux de Paris clinical data ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2021-07-29

AUTHORS

Muriel Fartoukh, Guillaume Voiriot, Laurent Guérin, Jean Damien Ricard, Alain Combes, Morgane Faure, Sarah Benghanem, Etienne de Montmollin, Yacine Tandjaoui-Lambiotte, Antoine Vieillard-Baron, Eric Maury, Jean-Luc Diehl, Keyvan Razazi, Virginie Lemiale, Pierre Trouiller, Benjamin Planquette, Laurent Savale, Nicholas Heming, Jonathan Marey, Fabrice Carrat, Nathanael Lapidus

ABSTRACT

PurposeAt the critical care level, the flu surveillance system is limited in France, with heterogeneous regional modalities of implementation.Materials, patients and methodsWe aimed at assessing the relevance of the Assistance Publique-Hôpitaux de Paris (AP-HP) clinical data warehouse for estimating the burden of the influenza epidemic on medical adult critical care units of the AP-HP, and outcome of patients during the flu season 2017–2018. This exploratory multi-site epidemiological study comprised all consecutive adult stays (n = 320) in 18 medical intensive care units (ICU) or intermediate care wards (ICW) for probable or confirmed Influenza virus infection during the 2017–2018 flu season.ResultsPatients admitted to ICU/ICW had low vaccination coverage (21%), required life support in 60% of cases, stayed in the ICU for a median of 8 days, and had high 28-day mortality rate (19.7%; 95% confidence interval 15.5–24.5). Early prognostic factors included age, core temperature, the acute organ failures score, and the early administration of antiviral therapy.ConclusionsData directly extracted from the electronic medical records stored in the data warehouse provide detailed clinical, care pathway and prognosis information. The real-time availability should enable to detect and assess the burden of the most severe cases. By a firmer and more acute monitoring and adjustment of care and patient management, hospitals could generate more ICU/ICW capacities, sensitize their emergency department and contribute to the recommendations from health authorities. This pilot study is of particular relevance in the context of emerging epidemics of severe acute respiratory diseases. More... »

PAGES

117

Journal

TITLE

Annals of Intensive Care

ISSUE

1

VOLUME

11

Author Affiliations

  • Groupe de Recherche Clinique CARMAS, Collégium Gallilée, Créteil, France
  • Service de Médecine Intensive-Réanimation, Hôpital Bicêtre, Assistance Publique-Hôpitaux de Paris, Université Paris-Saclay, Le Kremlin-Bicêtre, France
  • Infection, Antimicrobials, Modelling and Evolution, IAME UMR 1137 Institut National de la Santé et de la Recherche Médicale, Université de Paris, 75018, Paris, France
  • INSERM-UMRS 1166, iCAN Institute of Cardiometabolism/Nutrition, Sorbonne Université, Paris, France
  • UMR_S 1158 Neurophysiologie Respiratoire Expérimentale et Clinique, INSERM, Sorbonne Université, Paris, France
  • Medical Intensive Care Unit, Groupe Hospitalier Paris Centre-Cochin University Hospital-Assistance Publique-Hôpitaux de Paris, Paris University, 75014, Paris, France
  • Medical and Infectious Diseases ICU, Bichat-Claude Bernard Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France
  • Assistance Publique-Hôpitaux de Paris, Service de Réanimation médico-chirurgicale, CHU Avicenne; INSERM U1272 Hypoxie & Poumon, Bobigny, France
  • Inserm U1018, Center for Research in Epidemiology and Population Health (CESP), Faculty of Paris Saclay, Villejuif, France
  • U 1136, Inserm, Institut Pierre-Louis d’Epidémiologie et de Santé Publique, 75012, Paris, France
  • Faculty of Pharmacy, INSERM UMR-S1140, Paris Descartes University, Paris, France
  • Groupe de Recherche Clinique CARMAS, Université Paris Est Créteil, Créteil, France
  • ECSTRA Team, Biostatistics and Clinical Epidemiology, Center of Epidemiology and Biostatistics Sorbonne Paris Cité, Institut National de la Santé et de la Recherche Médicale, Paris Diderot Sorbonne University, Paris, France
  • Service de Réanimation Polyvalente, Hôpital Antoine Béclère, Assistance Publique-Hôpitaux de Paris, Paris Sud University, Clamart, France
  • Biosurgical Research Laboratory (Carpentier Foundation), Assistance Publique-Hôpitaux de Paris, Georges Pompidou European Hospital, 75015, Paris, France
  • INSERM UMR_S 999, Le Kremlin-Bicêtre, France
  • General Intensive Care Unit, Assistance Publique-Hôpitaux de Paris, Raymond-Poincaré Hospital, University of Versailles Saint-Quentin en Yvelines, Garches, France
  • Service de Pneumologie, Institut Cochin, INSERM U1016, Université de Paris, Assitance Publique-Hôpitaux de Paris, Paris, France
  • Unité de Santé Publique, INSERM, Institut Pierre Louis d’Epidemiologie et de Sante Publique, Hopital Saint-Antoine, Assistance Publique-Hôpitaux de Paris, Sorbonne Université, 75012, Paris, France
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/s13613-021-00884-8

    DOI

    http://dx.doi.org/10.1186/s13613-021-00884-8

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1140006794

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/34324076


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Medical and Health Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1103", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Clinical Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1117", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Public Health and Health Services", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Groupe de Recherche Clinique CARMAS, Coll\u00e9gium Gallil\u00e9e, Cr\u00e9teil, France", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "Service de M\u00e9decine Intensive R\u00e9animation, H\u00f4pital Tenon, Assistance Publique-H\u00f4pitaux de Paris, Sorbonne Universit\u00e9, 75020, Paris, France", 
                "Groupe de Recherche Clinique CARMAS, Coll\u00e9gium Gallil\u00e9e, Cr\u00e9teil, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Fartoukh", 
            "givenName": "Muriel", 
            "id": "sg:person.01121246407.03", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01121246407.03"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Groupe de Recherche Clinique CARMAS, Coll\u00e9gium Gallil\u00e9e, Cr\u00e9teil, France", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "Service de M\u00e9decine Intensive R\u00e9animation, H\u00f4pital Tenon, Assistance Publique-H\u00f4pitaux de Paris, Sorbonne Universit\u00e9, 75020, Paris, France", 
                "Groupe de Recherche Clinique CARMAS, Coll\u00e9gium Gallil\u00e9e, Cr\u00e9teil, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Voiriot", 
            "givenName": "Guillaume", 
            "id": "sg:person.0702067731.39", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0702067731.39"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Service de M\u00e9decine Intensive-R\u00e9animation, H\u00f4pital Bic\u00eatre, Assistance Publique-H\u00f4pitaux de Paris, Universit\u00e9 Paris-Saclay, Le Kremlin-Bic\u00eatre, France", 
              "id": "http://www.grid.ac/institutes/grid.413784.d", 
              "name": [
                "Service de M\u00e9decine Intensive-R\u00e9animation, H\u00f4pital Bic\u00eatre, Assistance Publique-H\u00f4pitaux de Paris, Universit\u00e9 Paris-Saclay, Le Kremlin-Bic\u00eatre, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Gu\u00e9rin", 
            "givenName": "Laurent", 
            "id": "sg:person.0624252166.18", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0624252166.18"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Infection, Antimicrobials, Modelling and Evolution, IAME UMR 1137 Institut National de la Sant\u00e9 et de la Recherche M\u00e9dicale, Universit\u00e9 de Paris, 75018, Paris, France", 
              "id": "http://www.grid.ac/institutes/grid.508487.6", 
              "name": [
                "Medical and Surgical Intensive Care Unit, Assistance Publique-H\u00f4pitaux de Paris, H\u00f4pital Louis Mourier, 92700, Colombes, France", 
                "Infection, Antimicrobials, Modelling and Evolution, IAME UMR 1137 Institut National de la Sant\u00e9 et de la Recherche M\u00e9dicale, Universit\u00e9 de Paris, 75018, Paris, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ricard", 
            "givenName": "Jean Damien", 
            "id": "sg:person.0627245152.46", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0627245152.46"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "INSERM-UMRS 1166, iCAN Institute of Cardiometabolism/Nutrition, Sorbonne Universit\u00e9, Paris, France", 
              "id": "http://www.grid.ac/institutes/grid.462844.8", 
              "name": [
                "Service de M\u00e9decine Intensive R\u00e9animation, Institut de Cardiologie, H\u00f4pital Piti\u00e9-Salp\u00eatri\u00e8re, Assistance Publique-H\u00f4pitaux de Paris, Sorbonne Universit\u00e9, Paris, France", 
                "INSERM-UMRS 1166, iCAN Institute of Cardiometabolism/Nutrition, Sorbonne Universit\u00e9, Paris, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Combes", 
            "givenName": "Alain", 
            "id": "sg:person.0710520012.16", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0710520012.16"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "UMR_S 1158 Neurophysiologie Respiratoire Exp\u00e9rimentale et Clinique, INSERM, Sorbonne Universit\u00e9, Paris, France", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "Service de M\u00e9decine Intensive - R\u00e9animation (D\u00e9partement \u201cR3S\u201d), H\u00f4pital Piti\u00e9-Salp\u00eatri\u00e8re, Assistance Publique-H\u00f4pitaux de Paris, Sorbonne Universit\u00e9, Paris, France", 
                "UMR_S 1158 Neurophysiologie Respiratoire Exp\u00e9rimentale et Clinique, INSERM, Sorbonne Universit\u00e9, Paris, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Faure", 
            "givenName": "Morgane", 
            "id": "sg:person.010470674227.74", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010470674227.74"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Medical Intensive Care Unit, Groupe Hospitalier Paris Centre-Cochin University Hospital-Assistance Publique-H\u00f4pitaux de Paris, Paris University, 75014, Paris, France", 
              "id": "http://www.grid.ac/institutes/grid.508487.6", 
              "name": [
                "Medical Intensive Care Unit, Groupe Hospitalier Paris Centre-Cochin University Hospital-Assistance Publique-H\u00f4pitaux de Paris, Paris University, 75014, Paris, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Benghanem", 
            "givenName": "Sarah", 
            "id": "sg:person.016520452417.71", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016520452417.71"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Medical and Infectious Diseases ICU, Bichat-Claude Bernard Hospital, Assistance Publique-H\u00f4pitaux de Paris, Paris, France", 
              "id": "http://www.grid.ac/institutes/grid.411119.d", 
              "name": [
                "UMR 1137, IAME, Universit\u00e9 de Paris, Paris, France", 
                "Medical and Infectious Diseases ICU, Bichat-Claude Bernard Hospital, Assistance Publique-H\u00f4pitaux de Paris, Paris, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "de Montmollin", 
            "givenName": "Etienne", 
            "id": "sg:person.0615463126.53", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0615463126.53"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Assistance Publique-H\u00f4pitaux de Paris, Service de R\u00e9animation m\u00e9dico-chirurgicale, CHU Avicenne; INSERM U1272 Hypoxie & Poumon, Bobigny, France", 
              "id": "http://www.grid.ac/institutes/grid.413780.9", 
              "name": [
                "Assistance Publique-H\u00f4pitaux de Paris, Service de R\u00e9animation m\u00e9dico-chirurgicale, CHU Avicenne; INSERM U1272 Hypoxie & Poumon, Bobigny, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Tandjaoui-Lambiotte", 
            "givenName": "Yacine", 
            "id": "sg:person.01255641322.51", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01255641322.51"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Inserm U1018, Center for Research in Epidemiology and Population Health (CESP), Faculty of Paris Saclay, Villejuif, France", 
              "id": "http://www.grid.ac/institutes/grid.463845.8", 
              "name": [
                "Intensive Care Unit, Assistance Publique-H\u00f4pitaux de Paris, University Hospital Ambroise Par\u00e9, Boulogne Billancourt, France", 
                "Faculty of Medicine Simone Veil, Saint Quentin en Yvelines, France", 
                "Inserm U1018, Center for Research in Epidemiology and Population Health (CESP), Faculty of Paris Saclay, Villejuif, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Vieillard-Baron", 
            "givenName": "Antoine", 
            "id": "sg:person.01217770520.25", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01217770520.25"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "U 1136, Inserm, Institut Pierre-Louis d\u2019Epid\u00e9miologie et de Sant\u00e9 Publique, 75012, Paris, France", 
              "id": "http://www.grid.ac/institutes/grid.7429.8", 
              "name": [
                "Service de R\u00e9animation M\u00e9dicale, H\u00f4pital Saint-Antoine, Assistance Publique-H\u00f4pitaux de Paris, Sorbonne Universit\u00e9, 75571, Paris, France", 
                "U 1136, Inserm, Institut Pierre-Louis d\u2019Epid\u00e9miologie et de Sant\u00e9 Publique, 75012, Paris, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Maury", 
            "givenName": "Eric", 
            "id": "sg:person.01241255035.71", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01241255035.71"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Faculty of Pharmacy, INSERM UMR-S1140, Paris Descartes University, Paris, France", 
              "id": "http://www.grid.ac/institutes/grid.508487.6", 
              "name": [
                "Service de M\u00e9decine Intensive R\u00e9animation, H\u00f4pital Europ\u00e9en Georges Pompidou, Assistance Publique-H\u00f4pitaux de Paris, Universit\u00e9 Paris Descartes, Paris, France", 
                "Faculty of Pharmacy, INSERM UMR-S1140, Paris Descartes University, Paris, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Diehl", 
            "givenName": "Jean-Luc", 
            "id": "sg:person.01356216621.41", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01356216621.41"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Groupe de Recherche Clinique CARMAS, Universit\u00e9 Paris Est Cr\u00e9teil, Cr\u00e9teil, France", 
              "id": "http://www.grid.ac/institutes/grid.410511.0", 
              "name": [
                "Service de M\u00e9decine Intensive R\u00e9animation, H\u00f4pitaux Universitaires Henri Mondor, Assistance Publique-H\u00f4pitaux de Paris, Cr\u00e9teil, France", 
                "Groupe de Recherche Clinique CARMAS, Universit\u00e9 Paris Est Cr\u00e9teil, Cr\u00e9teil, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Razazi", 
            "givenName": "Keyvan", 
            "id": "sg:person.0614337755.11", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0614337755.11"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "ECSTRA Team, Biostatistics and Clinical Epidemiology, Center of Epidemiology and Biostatistics Sorbonne Paris Cit\u00e9, Institut National de la Sant\u00e9 et de la Recherche M\u00e9dicale, Paris Diderot Sorbonne University, Paris, France", 
              "id": "http://www.grid.ac/institutes/grid.457369.a", 
              "name": [
                "Service de M\u00e9decine Intensive et R\u00e9animation, H\u00f4pital Saint-Louis, Assistance Publique-H\u00f4pitaux de Paris, Paris, France", 
                "ECSTRA Team, Biostatistics and Clinical Epidemiology, Center of Epidemiology and Biostatistics Sorbonne Paris Cit\u00e9, Institut National de la Sant\u00e9 et de la Recherche M\u00e9dicale, Paris Diderot Sorbonne University, Paris, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Lemiale", 
            "givenName": "Virginie", 
            "id": "sg:person.01027707313.46", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01027707313.46"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Service de R\u00e9animation Polyvalente, H\u00f4pital Antoine B\u00e9cl\u00e8re, Assistance Publique-H\u00f4pitaux de Paris, Paris Sud University, Clamart, France", 
              "id": "http://www.grid.ac/institutes/grid.413738.a", 
              "name": [
                "Service de R\u00e9animation Polyvalente, H\u00f4pital Antoine B\u00e9cl\u00e8re, Assistance Publique-H\u00f4pitaux de Paris, Paris Sud University, Clamart, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Trouiller", 
            "givenName": "Pierre", 
            "id": "sg:person.016153276513.45", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016153276513.45"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Biosurgical Research Laboratory (Carpentier Foundation), Assistance Publique-H\u00f4pitaux de Paris, Georges Pompidou European Hospital, 75015, Paris, France", 
              "id": "http://www.grid.ac/institutes/grid.414093.b", 
              "name": [
                "Service de Pneumologie et Soins Intensifs, H\u00f4pital Europ\u00e9en Georges Pompidou, Assistance Publique-H\u00f4pitaux de Paris, Universit\u00e9 Paris Descartes, 75015, Paris, France", 
                "Biosurgical Research Laboratory (Carpentier Foundation), Assistance Publique-H\u00f4pitaux de Paris, Georges Pompidou European Hospital, 75015, Paris, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Planquette", 
            "givenName": "Benjamin", 
            "id": "sg:person.016107163543.99", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016107163543.99"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "INSERM UMR_S 999, Le Kremlin-Bic\u00eatre, France", 
              "id": "http://www.grid.ac/institutes/grid.462435.2", 
              "name": [
                "Service de Pneumologie et Soins Intensifs Respiratoires, H\u00f4pital Bic\u00eatre, Assistance Publique-H\u00f4pitaux de Paris, Le Kremlin-Bic\u00eatre, France", 
                "Faculty of Medicine, Universit\u00e9 Paris-Saclay, Le Kremlin-Bic\u00eatre, France", 
                "INSERM UMR_S 999, Le Kremlin-Bic\u00eatre, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Savale", 
            "givenName": "Laurent", 
            "id": "sg:person.01350563377.16", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01350563377.16"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "General Intensive Care Unit, Assistance Publique-H\u00f4pitaux de Paris, Raymond-Poincar\u00e9 Hospital, University of Versailles Saint-Quentin en Yvelines, Garches, France", 
              "id": "http://www.grid.ac/institutes/grid.414291.b", 
              "name": [
                "General Intensive Care Unit, Assistance Publique-H\u00f4pitaux de Paris, Raymond-Poincar\u00e9 Hospital, University of Versailles Saint-Quentin en Yvelines, Garches, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Heming", 
            "givenName": "Nicholas", 
            "id": "sg:person.01106366231.19", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01106366231.19"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Service de Pneumologie, Institut Cochin, INSERM U1016, Universit\u00e9 de Paris, Assitance Publique-H\u00f4pitaux de Paris, Paris, France", 
              "id": "http://www.grid.ac/institutes/grid.50550.35", 
              "name": [
                "Service de Pneumologie, Institut Cochin, INSERM U1016, Universit\u00e9 de Paris, Assitance Publique-H\u00f4pitaux de Paris, Paris, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Marey", 
            "givenName": "Jonathan", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Unit\u00e9 de Sant\u00e9 Publique, INSERM, Institut Pierre Louis d\u2019Epidemiologie et de Sante Publique, Hopital Saint-Antoine, Assistance Publique-H\u00f4pitaux de Paris, Sorbonne Universit\u00e9, 75012, Paris, France", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "Unit\u00e9 de Sant\u00e9 Publique, INSERM, Institut Pierre Louis d\u2019Epidemiologie et de Sante Publique, Hopital Saint-Antoine, Assistance Publique-H\u00f4pitaux de Paris, Sorbonne Universit\u00e9, 75012, Paris, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Carrat", 
            "givenName": "Fabrice", 
            "id": "sg:person.0725234060.17", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0725234060.17"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Unit\u00e9 de Sant\u00e9 Publique, INSERM, Institut Pierre Louis d\u2019Epidemiologie et de Sante Publique, Hopital Saint-Antoine, Assistance Publique-H\u00f4pitaux de Paris, Sorbonne Universit\u00e9, 75012, Paris, France", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "Unit\u00e9 de Sant\u00e9 Publique, INSERM, Institut Pierre Louis d\u2019Epidemiologie et de Sante Publique, Hopital Saint-Antoine, Assistance Publique-H\u00f4pitaux de Paris, Sorbonne Universit\u00e9, 75012, Paris, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Lapidus", 
            "givenName": "Nathanael", 
            "id": "sg:person.01217413105.91", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01217413105.91"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1038/nrg2053", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008380455", 
              "https://doi.org/10.1038/nrg2053"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/cc10266", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024211909", 
              "https://doi.org/10.1186/cc10266"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s13546-011-0266-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012261013", 
              "https://doi.org/10.1007/s13546-011-0266-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00134-006-0134-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010759497", 
              "https://doi.org/10.1007/s00134-006-0134-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/cc11412", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023771893", 
              "https://doi.org/10.1186/cc11412"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrmicro.2017.118", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1092439182", 
              "https://doi.org/10.1038/nrmicro.2017.118"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf01709751", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052044737", 
              "https://doi.org/10.1007/bf01709751"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2021-07-29", 
        "datePublishedReg": "2021-07-29", 
        "description": "PurposeAt the critical care level, the flu surveillance system is limited in France, with heterogeneous regional modalities of implementation.Materials, patients and methodsWe aimed at assessing the relevance of the Assistance Publique-H\u00f4pitaux de Paris (AP-HP) clinical data warehouse for estimating the burden of the influenza epidemic on medical adult critical care units of the AP-HP, and outcome of patients during the flu season 2017\u20132018. This exploratory multi-site epidemiological study comprised all consecutive adult stays (n\u2009=\u2009320) in 18 medical intensive care units (ICU) or intermediate care wards (ICW) for probable or confirmed Influenza virus infection during the 2017\u20132018 flu season.ResultsPatients admitted to ICU/ICW had low vaccination coverage (21%), required life support in 60% of cases, stayed in the ICU for a median of 8\u00a0days, and had high 28-day mortality rate (19.7%; 95% confidence interval 15.5\u201324.5). Early prognostic factors included age, core temperature, the acute organ failures score, and the early administration of antiviral therapy.ConclusionsData directly extracted from the electronic medical records stored in the data warehouse provide detailed clinical, care pathway and prognosis information. The real-time availability should enable to detect and assess the burden of the most severe cases. By a firmer and more acute monitoring and adjustment of care and patient management, hospitals could generate more ICU/ICW capacities, sensitize their emergency department and contribute to the recommendations from health authorities. This pilot study is of particular relevance in the context of emerging epidemics of severe acute respiratory diseases.", 
        "genre": "article", 
        "id": "sg:pub.10.1186/s13613-021-00884-8", 
        "isAccessibleForFree": true, 
        "isPartOf": [
          {
            "id": "sg:journal.1045300", 
            "issn": [
              "2110-5820"
            ], 
            "name": "Annals of Intensive Care", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "11"
          }
        ], 
        "keywords": [
          "intensive care unit", 
          "intermediate care ward", 
          "influenza virus infection", 
          "clinical data warehouse", 
          "care unit", 
          "virus infection", 
          "severe influenza virus infection", 
          "medical intensive care unit", 
          "adult critical care units", 
          "severe acute respiratory disease", 
          "pilot study", 
          "critical care level", 
          "outcomes of patients", 
          "acute organ failure", 
          "early prognostic factors", 
          "acute respiratory disease", 
          "low vaccination coverage", 
          "critical care units", 
          "electronic medical records", 
          "Assistance Publique-H\u00f4pitaux", 
          "consecutive adults", 
          "prognostic factors", 
          "organ failure", 
          "early administration", 
          "ill patients", 
          "antiviral therapy", 
          "vaccination coverage", 
          "care wards", 
          "emergency department", 
          "medical records", 
          "care level", 
          "patient management", 
          "respiratory disease", 
          "severe cases", 
          "epidemiological studies", 
          "seasonal burden", 
          "flu season", 
          "influenza epidemics", 
          "mortality rate", 
          "regional modalities", 
          "prognosis information", 
          "health authorities", 
          "life support", 
          "patients", 
          "AP-HP", 
          "adjustment of care", 
          "acute monitoring", 
          "core temperature", 
          "infection", 
          "burden", 
          "surveillance system", 
          "epidemic", 
          "ResultsPatients", 
          "hospital", 
          "therapy", 
          "MethodsWe", 
          "wards", 
          "disease", 
          "administration", 
          "care", 
          "study", 
          "median", 
          "outcomes", 
          "adults", 
          "age", 
          "ConclusionsData", 
          "modalities", 
          "cases", 
          "days", 
          "PurposeAt", 
          "Department", 
          "relevance", 
          "failure", 
          "particular relevance", 
          "pathway", 
          "adjustment", 
          "management", 
          "levels", 
          "factors", 
          "recommendations", 
          "data warehouse", 
          "records", 
          "units", 
          "rate", 
          "monitoring", 
          "support", 
          "season 2017", 
          "coverage", 
          "capacity", 
          "availability", 
          "information", 
          "France", 
          "materials", 
          "system", 
          "real-time availability", 
          "implementation", 
          "context", 
          "authorities", 
          "season", 
          "warehouse", 
          "temperature"
        ], 
        "name": "Seasonal burden of severe influenza virus infection in the critically ill patients, using the Assistance Publique-H\u00f4pitaux de Paris clinical data warehouse: a pilot study", 
        "pagination": "117", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1140006794"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1186/s13613-021-00884-8"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "34324076"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1186/s13613-021-00884-8", 
          "https://app.dimensions.ai/details/publication/pub.1140006794"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-09-02T16:06", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20220902/entities/gbq_results/article/article_904.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1186/s13613-021-00884-8"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s13613-021-00884-8'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s13613-021-00884-8'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s13613-021-00884-8'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s13613-021-00884-8'


     

    This table displays all metadata directly associated to this object as RDF triples.

    396 TRIPLES      21 PREDICATES      134 URIs      118 LITERALS      7 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1186/s13613-021-00884-8 schema:about anzsrc-for:11
    2 anzsrc-for:1103
    3 anzsrc-for:1117
    4 schema:author Na4bece488c77405babbf411e20e3b595
    5 schema:citation sg:pub.10.1007/bf01709751
    6 sg:pub.10.1007/s00134-006-0134-5
    7 sg:pub.10.1007/s13546-011-0266-7
    8 sg:pub.10.1038/nrg2053
    9 sg:pub.10.1038/nrmicro.2017.118
    10 sg:pub.10.1186/cc10266
    11 sg:pub.10.1186/cc11412
    12 schema:datePublished 2021-07-29
    13 schema:datePublishedReg 2021-07-29
    14 schema:description PurposeAt the critical care level, the flu surveillance system is limited in France, with heterogeneous regional modalities of implementation.Materials, patients and methodsWe aimed at assessing the relevance of the Assistance Publique-Hôpitaux de Paris (AP-HP) clinical data warehouse for estimating the burden of the influenza epidemic on medical adult critical care units of the AP-HP, and outcome of patients during the flu season 2017–2018. This exploratory multi-site epidemiological study comprised all consecutive adult stays (n = 320) in 18 medical intensive care units (ICU) or intermediate care wards (ICW) for probable or confirmed Influenza virus infection during the 2017–2018 flu season.ResultsPatients admitted to ICU/ICW had low vaccination coverage (21%), required life support in 60% of cases, stayed in the ICU for a median of 8 days, and had high 28-day mortality rate (19.7%; 95% confidence interval 15.5–24.5). Early prognostic factors included age, core temperature, the acute organ failures score, and the early administration of antiviral therapy.ConclusionsData directly extracted from the electronic medical records stored in the data warehouse provide detailed clinical, care pathway and prognosis information. The real-time availability should enable to detect and assess the burden of the most severe cases. By a firmer and more acute monitoring and adjustment of care and patient management, hospitals could generate more ICU/ICW capacities, sensitize their emergency department and contribute to the recommendations from health authorities. This pilot study is of particular relevance in the context of emerging epidemics of severe acute respiratory diseases.
    15 schema:genre article
    16 schema:isAccessibleForFree true
    17 schema:isPartOf N3ced52b1529044a8987006fc52e283a5
    18 N48c44095da984d26aeb76e28d43af7e0
    19 sg:journal.1045300
    20 schema:keywords AP-HP
    21 Assistance Publique-Hôpitaux
    22 ConclusionsData
    23 Department
    24 France
    25 MethodsWe
    26 PurposeAt
    27 ResultsPatients
    28 acute monitoring
    29 acute organ failure
    30 acute respiratory disease
    31 adjustment
    32 adjustment of care
    33 administration
    34 adult critical care units
    35 adults
    36 age
    37 antiviral therapy
    38 authorities
    39 availability
    40 burden
    41 capacity
    42 care
    43 care level
    44 care unit
    45 care wards
    46 cases
    47 clinical data warehouse
    48 consecutive adults
    49 context
    50 core temperature
    51 coverage
    52 critical care level
    53 critical care units
    54 data warehouse
    55 days
    56 disease
    57 early administration
    58 early prognostic factors
    59 electronic medical records
    60 emergency department
    61 epidemic
    62 epidemiological studies
    63 factors
    64 failure
    65 flu season
    66 health authorities
    67 hospital
    68 ill patients
    69 implementation
    70 infection
    71 influenza epidemics
    72 influenza virus infection
    73 information
    74 intensive care unit
    75 intermediate care ward
    76 levels
    77 life support
    78 low vaccination coverage
    79 management
    80 materials
    81 median
    82 medical intensive care unit
    83 medical records
    84 modalities
    85 monitoring
    86 mortality rate
    87 organ failure
    88 outcomes
    89 outcomes of patients
    90 particular relevance
    91 pathway
    92 patient management
    93 patients
    94 pilot study
    95 prognosis information
    96 prognostic factors
    97 rate
    98 real-time availability
    99 recommendations
    100 records
    101 regional modalities
    102 relevance
    103 respiratory disease
    104 season
    105 season 2017
    106 seasonal burden
    107 severe acute respiratory disease
    108 severe cases
    109 severe influenza virus infection
    110 study
    111 support
    112 surveillance system
    113 system
    114 temperature
    115 therapy
    116 units
    117 vaccination coverage
    118 virus infection
    119 wards
    120 warehouse
    121 schema:name Seasonal burden of severe influenza virus infection in the critically ill patients, using the Assistance Publique-Hôpitaux de Paris clinical data warehouse: a pilot study
    122 schema:pagination 117
    123 schema:productId N52aaafc2121842a19335f246dcadf6ff
    124 N66c2fb8983df485b9d99266db96342fe
    125 N6f6e27036405445596fa5c072f321abe
    126 schema:sameAs https://app.dimensions.ai/details/publication/pub.1140006794
    127 https://doi.org/10.1186/s13613-021-00884-8
    128 schema:sdDatePublished 2022-09-02T16:06
    129 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    130 schema:sdPublisher N4e83a08b9a75483a8f97b6776239be95
    131 schema:url https://doi.org/10.1186/s13613-021-00884-8
    132 sgo:license sg:explorer/license/
    133 sgo:sdDataset articles
    134 rdf:type schema:ScholarlyArticle
    135 N03a3404128fa4a67bb40eee43756da10 rdf:first sg:person.0710520012.16
    136 rdf:rest Neac449b873754b4293eaea7483e839df
    137 N0905bc40b5684d6db868d8db88a72bde rdf:first sg:person.0725234060.17
    138 rdf:rest Ne271f38b412c4fb5a7a5f7a897d44387
    139 N1c31797360234d2387beaa164a57f896 rdf:first sg:person.01241255035.71
    140 rdf:rest N2a9a3e93158147de924374c24677ae6b
    141 N1cc9981541b6440f87d1b6894865b7ae rdf:first sg:person.016107163543.99
    142 rdf:rest Ndbf3cab7f3164375b5a8f37813c2d27f
    143 N2a9a3e93158147de924374c24677ae6b rdf:first sg:person.01356216621.41
    144 rdf:rest N2b6dbea1ed0940e5a1a22bf144e4c97a
    145 N2b6dbea1ed0940e5a1a22bf144e4c97a rdf:first sg:person.0614337755.11
    146 rdf:rest N34d3cf02da4f4ae4b8688a304bc730a7
    147 N34d3cf02da4f4ae4b8688a304bc730a7 rdf:first sg:person.01027707313.46
    148 rdf:rest Ne602bc5ab5154b9aa9d9a47c49c8184a
    149 N3ced52b1529044a8987006fc52e283a5 schema:volumeNumber 11
    150 rdf:type schema:PublicationVolume
    151 N48c44095da984d26aeb76e28d43af7e0 schema:issueNumber 1
    152 rdf:type schema:PublicationIssue
    153 N4e83a08b9a75483a8f97b6776239be95 schema:name Springer Nature - SN SciGraph project
    154 rdf:type schema:Organization
    155 N51c6a7d133a24d58a7c4e3698aac8d5f rdf:first sg:person.0615463126.53
    156 rdf:rest N69bfe93f2b6147d984971940f9670cf8
    157 N52aaafc2121842a19335f246dcadf6ff schema:name pubmed_id
    158 schema:value 34324076
    159 rdf:type schema:PropertyValue
    160 N66c2fb8983df485b9d99266db96342fe schema:name doi
    161 schema:value 10.1186/s13613-021-00884-8
    162 rdf:type schema:PropertyValue
    163 N69bfe93f2b6147d984971940f9670cf8 rdf:first sg:person.01255641322.51
    164 rdf:rest Nd32d1d86f7e241149911e94b6cc9fd90
    165 N6ccb6ea48985452c9a8df09070f97b42 rdf:first sg:person.0624252166.18
    166 rdf:rest N8e58ee185db048e68e905bf4dc0befda
    167 N6d24e7872c7b488bb7c3197d1cc2ae0d rdf:first sg:person.01106366231.19
    168 rdf:rest Necb2e58cce3d47e5b7847b564bbf95c4
    169 N6f6e27036405445596fa5c072f321abe schema:name dimensions_id
    170 schema:value pub.1140006794
    171 rdf:type schema:PropertyValue
    172 N8e58ee185db048e68e905bf4dc0befda rdf:first sg:person.0627245152.46
    173 rdf:rest N03a3404128fa4a67bb40eee43756da10
    174 N91e71557682a4eb797d4a1a5315908ae rdf:first sg:person.016520452417.71
    175 rdf:rest N51c6a7d133a24d58a7c4e3698aac8d5f
    176 Na4bece488c77405babbf411e20e3b595 rdf:first sg:person.01121246407.03
    177 rdf:rest Nad37a7bb47b44ccbb35e0bba5d69529d
    178 Nad37a7bb47b44ccbb35e0bba5d69529d rdf:first sg:person.0702067731.39
    179 rdf:rest N6ccb6ea48985452c9a8df09070f97b42
    180 Nd32d1d86f7e241149911e94b6cc9fd90 rdf:first sg:person.01217770520.25
    181 rdf:rest N1c31797360234d2387beaa164a57f896
    182 Ndbf3cab7f3164375b5a8f37813c2d27f rdf:first sg:person.01350563377.16
    183 rdf:rest N6d24e7872c7b488bb7c3197d1cc2ae0d
    184 Ne271f38b412c4fb5a7a5f7a897d44387 rdf:first sg:person.01217413105.91
    185 rdf:rest rdf:nil
    186 Ne602bc5ab5154b9aa9d9a47c49c8184a rdf:first sg:person.016153276513.45
    187 rdf:rest N1cc9981541b6440f87d1b6894865b7ae
    188 Ne951afd55f9b41488fa212fbd756caf6 schema:affiliation grid-institutes:grid.50550.35
    189 schema:familyName Marey
    190 schema:givenName Jonathan
    191 rdf:type schema:Person
    192 Neac449b873754b4293eaea7483e839df rdf:first sg:person.010470674227.74
    193 rdf:rest N91e71557682a4eb797d4a1a5315908ae
    194 Necb2e58cce3d47e5b7847b564bbf95c4 rdf:first Ne951afd55f9b41488fa212fbd756caf6
    195 rdf:rest N0905bc40b5684d6db868d8db88a72bde
    196 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
    197 schema:name Medical and Health Sciences
    198 rdf:type schema:DefinedTerm
    199 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
    200 schema:name Clinical Sciences
    201 rdf:type schema:DefinedTerm
    202 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
    203 schema:name Public Health and Health Services
    204 rdf:type schema:DefinedTerm
    205 sg:journal.1045300 schema:issn 2110-5820
    206 schema:name Annals of Intensive Care
    207 schema:publisher Springer Nature
    208 rdf:type schema:Periodical
    209 sg:person.01027707313.46 schema:affiliation grid-institutes:grid.457369.a
    210 schema:familyName Lemiale
    211 schema:givenName Virginie
    212 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01027707313.46
    213 rdf:type schema:Person
    214 sg:person.010470674227.74 schema:affiliation grid-institutes:None
    215 schema:familyName Faure
    216 schema:givenName Morgane
    217 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010470674227.74
    218 rdf:type schema:Person
    219 sg:person.01106366231.19 schema:affiliation grid-institutes:grid.414291.b
    220 schema:familyName Heming
    221 schema:givenName Nicholas
    222 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01106366231.19
    223 rdf:type schema:Person
    224 sg:person.01121246407.03 schema:affiliation grid-institutes:None
    225 schema:familyName Fartoukh
    226 schema:givenName Muriel
    227 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01121246407.03
    228 rdf:type schema:Person
    229 sg:person.01217413105.91 schema:affiliation grid-institutes:None
    230 schema:familyName Lapidus
    231 schema:givenName Nathanael
    232 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01217413105.91
    233 rdf:type schema:Person
    234 sg:person.01217770520.25 schema:affiliation grid-institutes:grid.463845.8
    235 schema:familyName Vieillard-Baron
    236 schema:givenName Antoine
    237 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01217770520.25
    238 rdf:type schema:Person
    239 sg:person.01241255035.71 schema:affiliation grid-institutes:grid.7429.8
    240 schema:familyName Maury
    241 schema:givenName Eric
    242 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01241255035.71
    243 rdf:type schema:Person
    244 sg:person.01255641322.51 schema:affiliation grid-institutes:grid.413780.9
    245 schema:familyName Tandjaoui-Lambiotte
    246 schema:givenName Yacine
    247 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01255641322.51
    248 rdf:type schema:Person
    249 sg:person.01350563377.16 schema:affiliation grid-institutes:grid.462435.2
    250 schema:familyName Savale
    251 schema:givenName Laurent
    252 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01350563377.16
    253 rdf:type schema:Person
    254 sg:person.01356216621.41 schema:affiliation grid-institutes:grid.508487.6
    255 schema:familyName Diehl
    256 schema:givenName Jean-Luc
    257 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01356216621.41
    258 rdf:type schema:Person
    259 sg:person.016107163543.99 schema:affiliation grid-institutes:grid.414093.b
    260 schema:familyName Planquette
    261 schema:givenName Benjamin
    262 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016107163543.99
    263 rdf:type schema:Person
    264 sg:person.016153276513.45 schema:affiliation grid-institutes:grid.413738.a
    265 schema:familyName Trouiller
    266 schema:givenName Pierre
    267 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016153276513.45
    268 rdf:type schema:Person
    269 sg:person.016520452417.71 schema:affiliation grid-institutes:grid.508487.6
    270 schema:familyName Benghanem
    271 schema:givenName Sarah
    272 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016520452417.71
    273 rdf:type schema:Person
    274 sg:person.0614337755.11 schema:affiliation grid-institutes:grid.410511.0
    275 schema:familyName Razazi
    276 schema:givenName Keyvan
    277 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0614337755.11
    278 rdf:type schema:Person
    279 sg:person.0615463126.53 schema:affiliation grid-institutes:grid.411119.d
    280 schema:familyName de Montmollin
    281 schema:givenName Etienne
    282 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0615463126.53
    283 rdf:type schema:Person
    284 sg:person.0624252166.18 schema:affiliation grid-institutes:grid.413784.d
    285 schema:familyName Guérin
    286 schema:givenName Laurent
    287 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0624252166.18
    288 rdf:type schema:Person
    289 sg:person.0627245152.46 schema:affiliation grid-institutes:grid.508487.6
    290 schema:familyName Ricard
    291 schema:givenName Jean Damien
    292 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0627245152.46
    293 rdf:type schema:Person
    294 sg:person.0702067731.39 schema:affiliation grid-institutes:None
    295 schema:familyName Voiriot
    296 schema:givenName Guillaume
    297 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0702067731.39
    298 rdf:type schema:Person
    299 sg:person.0710520012.16 schema:affiliation grid-institutes:grid.462844.8
    300 schema:familyName Combes
    301 schema:givenName Alain
    302 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0710520012.16
    303 rdf:type schema:Person
    304 sg:person.0725234060.17 schema:affiliation grid-institutes:None
    305 schema:familyName Carrat
    306 schema:givenName Fabrice
    307 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0725234060.17
    308 rdf:type schema:Person
    309 sg:pub.10.1007/bf01709751 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052044737
    310 https://doi.org/10.1007/bf01709751
    311 rdf:type schema:CreativeWork
    312 sg:pub.10.1007/s00134-006-0134-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010759497
    313 https://doi.org/10.1007/s00134-006-0134-5
    314 rdf:type schema:CreativeWork
    315 sg:pub.10.1007/s13546-011-0266-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012261013
    316 https://doi.org/10.1007/s13546-011-0266-7
    317 rdf:type schema:CreativeWork
    318 sg:pub.10.1038/nrg2053 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008380455
    319 https://doi.org/10.1038/nrg2053
    320 rdf:type schema:CreativeWork
    321 sg:pub.10.1038/nrmicro.2017.118 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092439182
    322 https://doi.org/10.1038/nrmicro.2017.118
    323 rdf:type schema:CreativeWork
    324 sg:pub.10.1186/cc10266 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024211909
    325 https://doi.org/10.1186/cc10266
    326 rdf:type schema:CreativeWork
    327 sg:pub.10.1186/cc11412 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023771893
    328 https://doi.org/10.1186/cc11412
    329 rdf:type schema:CreativeWork
    330 grid-institutes:None schema:alternateName Groupe de Recherche Clinique CARMAS, Collégium Gallilée, Créteil, France
    331 UMR_S 1158 Neurophysiologie Respiratoire Expérimentale et Clinique, INSERM, Sorbonne Université, Paris, France
    332 Unité de Santé Publique, INSERM, Institut Pierre Louis d’Epidemiologie et de Sante Publique, Hopital Saint-Antoine, Assistance Publique-Hôpitaux de Paris, Sorbonne Université, 75012, Paris, France
    333 schema:name Groupe de Recherche Clinique CARMAS, Collégium Gallilée, Créteil, France
    334 Service de Médecine Intensive - Réanimation (Département “R3S”), Hôpital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Sorbonne Université, Paris, France
    335 Service de Médecine Intensive Réanimation, Hôpital Tenon, Assistance Publique-Hôpitaux de Paris, Sorbonne Université, 75020, Paris, France
    336 UMR_S 1158 Neurophysiologie Respiratoire Expérimentale et Clinique, INSERM, Sorbonne Université, Paris, France
    337 Unité de Santé Publique, INSERM, Institut Pierre Louis d’Epidemiologie et de Sante Publique, Hopital Saint-Antoine, Assistance Publique-Hôpitaux de Paris, Sorbonne Université, 75012, Paris, France
    338 rdf:type schema:Organization
    339 grid-institutes:grid.410511.0 schema:alternateName Groupe de Recherche Clinique CARMAS, Université Paris Est Créteil, Créteil, France
    340 schema:name Groupe de Recherche Clinique CARMAS, Université Paris Est Créteil, Créteil, France
    341 Service de Médecine Intensive Réanimation, Hôpitaux Universitaires Henri Mondor, Assistance Publique-Hôpitaux de Paris, Créteil, France
    342 rdf:type schema:Organization
    343 grid-institutes:grid.411119.d schema:alternateName Medical and Infectious Diseases ICU, Bichat-Claude Bernard Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France
    344 schema:name Medical and Infectious Diseases ICU, Bichat-Claude Bernard Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France
    345 UMR 1137, IAME, Université de Paris, Paris, France
    346 rdf:type schema:Organization
    347 grid-institutes:grid.413738.a schema:alternateName Service de Réanimation Polyvalente, Hôpital Antoine Béclère, Assistance Publique-Hôpitaux de Paris, Paris Sud University, Clamart, France
    348 schema:name Service de Réanimation Polyvalente, Hôpital Antoine Béclère, Assistance Publique-Hôpitaux de Paris, Paris Sud University, Clamart, France
    349 rdf:type schema:Organization
    350 grid-institutes:grid.413780.9 schema:alternateName Assistance Publique-Hôpitaux de Paris, Service de Réanimation médico-chirurgicale, CHU Avicenne; INSERM U1272 Hypoxie & Poumon, Bobigny, France
    351 schema:name Assistance Publique-Hôpitaux de Paris, Service de Réanimation médico-chirurgicale, CHU Avicenne; INSERM U1272 Hypoxie & Poumon, Bobigny, France
    352 rdf:type schema:Organization
    353 grid-institutes:grid.413784.d schema:alternateName Service de Médecine Intensive-Réanimation, Hôpital Bicêtre, Assistance Publique-Hôpitaux de Paris, Université Paris-Saclay, Le Kremlin-Bicêtre, France
    354 schema:name Service de Médecine Intensive-Réanimation, Hôpital Bicêtre, Assistance Publique-Hôpitaux de Paris, Université Paris-Saclay, Le Kremlin-Bicêtre, France
    355 rdf:type schema:Organization
    356 grid-institutes:grid.414093.b schema:alternateName Biosurgical Research Laboratory (Carpentier Foundation), Assistance Publique-Hôpitaux de Paris, Georges Pompidou European Hospital, 75015, Paris, France
    357 schema:name Biosurgical Research Laboratory (Carpentier Foundation), Assistance Publique-Hôpitaux de Paris, Georges Pompidou European Hospital, 75015, Paris, France
    358 Service de Pneumologie et Soins Intensifs, Hôpital Européen Georges Pompidou, Assistance Publique-Hôpitaux de Paris, Université Paris Descartes, 75015, Paris, France
    359 rdf:type schema:Organization
    360 grid-institutes:grid.414291.b schema:alternateName General Intensive Care Unit, Assistance Publique-Hôpitaux de Paris, Raymond-Poincaré Hospital, University of Versailles Saint-Quentin en Yvelines, Garches, France
    361 schema:name General Intensive Care Unit, Assistance Publique-Hôpitaux de Paris, Raymond-Poincaré Hospital, University of Versailles Saint-Quentin en Yvelines, Garches, France
    362 rdf:type schema:Organization
    363 grid-institutes:grid.457369.a schema:alternateName ECSTRA Team, Biostatistics and Clinical Epidemiology, Center of Epidemiology and Biostatistics Sorbonne Paris Cité, Institut National de la Santé et de la Recherche Médicale, Paris Diderot Sorbonne University, Paris, France
    364 schema:name ECSTRA Team, Biostatistics and Clinical Epidemiology, Center of Epidemiology and Biostatistics Sorbonne Paris Cité, Institut National de la Santé et de la Recherche Médicale, Paris Diderot Sorbonne University, Paris, France
    365 Service de Médecine Intensive et Réanimation, Hôpital Saint-Louis, Assistance Publique-Hôpitaux de Paris, Paris, France
    366 rdf:type schema:Organization
    367 grid-institutes:grid.462435.2 schema:alternateName INSERM UMR_S 999, Le Kremlin-Bicêtre, France
    368 schema:name Faculty of Medicine, Université Paris-Saclay, Le Kremlin-Bicêtre, France
    369 INSERM UMR_S 999, Le Kremlin-Bicêtre, France
    370 Service de Pneumologie et Soins Intensifs Respiratoires, Hôpital Bicêtre, Assistance Publique-Hôpitaux de Paris, Le Kremlin-Bicêtre, France
    371 rdf:type schema:Organization
    372 grid-institutes:grid.462844.8 schema:alternateName INSERM-UMRS 1166, iCAN Institute of Cardiometabolism/Nutrition, Sorbonne Université, Paris, France
    373 schema:name INSERM-UMRS 1166, iCAN Institute of Cardiometabolism/Nutrition, Sorbonne Université, Paris, France
    374 Service de Médecine Intensive Réanimation, Institut de Cardiologie, Hôpital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Sorbonne Université, Paris, France
    375 rdf:type schema:Organization
    376 grid-institutes:grid.463845.8 schema:alternateName Inserm U1018, Center for Research in Epidemiology and Population Health (CESP), Faculty of Paris Saclay, Villejuif, France
    377 schema:name Faculty of Medicine Simone Veil, Saint Quentin en Yvelines, France
    378 Inserm U1018, Center for Research in Epidemiology and Population Health (CESP), Faculty of Paris Saclay, Villejuif, France
    379 Intensive Care Unit, Assistance Publique-Hôpitaux de Paris, University Hospital Ambroise Paré, Boulogne Billancourt, France
    380 rdf:type schema:Organization
    381 grid-institutes:grid.50550.35 schema:alternateName Service de Pneumologie, Institut Cochin, INSERM U1016, Université de Paris, Assitance Publique-Hôpitaux de Paris, Paris, France
    382 schema:name Service de Pneumologie, Institut Cochin, INSERM U1016, Université de Paris, Assitance Publique-Hôpitaux de Paris, Paris, France
    383 rdf:type schema:Organization
    384 grid-institutes:grid.508487.6 schema:alternateName Faculty of Pharmacy, INSERM UMR-S1140, Paris Descartes University, Paris, France
    385 Infection, Antimicrobials, Modelling and Evolution, IAME UMR 1137 Institut National de la Santé et de la Recherche Médicale, Université de Paris, 75018, Paris, France
    386 Medical Intensive Care Unit, Groupe Hospitalier Paris Centre-Cochin University Hospital-Assistance Publique-Hôpitaux de Paris, Paris University, 75014, Paris, France
    387 schema:name Faculty of Pharmacy, INSERM UMR-S1140, Paris Descartes University, Paris, France
    388 Infection, Antimicrobials, Modelling and Evolution, IAME UMR 1137 Institut National de la Santé et de la Recherche Médicale, Université de Paris, 75018, Paris, France
    389 Medical Intensive Care Unit, Groupe Hospitalier Paris Centre-Cochin University Hospital-Assistance Publique-Hôpitaux de Paris, Paris University, 75014, Paris, France
    390 Medical and Surgical Intensive Care Unit, Assistance Publique-Hôpitaux de Paris, Hôpital Louis Mourier, 92700, Colombes, France
    391 Service de Médecine Intensive Réanimation, Hôpital Européen Georges Pompidou, Assistance Publique-Hôpitaux de Paris, Université Paris Descartes, Paris, France
    392 rdf:type schema:Organization
    393 grid-institutes:grid.7429.8 schema:alternateName U 1136, Inserm, Institut Pierre-Louis d’Epidémiologie et de Santé Publique, 75012, Paris, France
    394 schema:name Service de Réanimation Médicale, Hôpital Saint-Antoine, Assistance Publique-Hôpitaux de Paris, Sorbonne Université, 75571, Paris, France
    395 U 1136, Inserm, Institut Pierre-Louis d’Epidémiologie et de Santé Publique, 75012, Paris, France
    396 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...