Increased mortality in hematological malignancy patients with acute respiratory failure from undetermined etiology: a Groupe de Recherche en Réanimation Respiratoire ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-10-25

AUTHORS

Adrien Contejean, Virginie Lemiale, Matthieu Resche-Rigon, Djamel Mokart, Frédéric Pène, Achille Kouatchet, Julien Mayaux, François Vincent, Martine Nyunga, Fabrice Bruneel, Antoine Rabbat, Pierre Perez, Anne-Pascale Meert, Dominique Benoit, Rebecca Hamidfar, Michael Darmon, Mercé Jourdain, Anne Renault, Benoît Schlemmer, Elie Azoulay

ABSTRACT

BackgroundAcute respiratory failure (ARF) is the most frequent complication in patients with hematological malignancies and is associated with high morbidity and mortality. ARF etiologies are numerous, and despite extensive diagnostic workflow, some patients remain with undetermined ARF etiology.MethodsThis is a post-hoc study of a prospective multicenter cohort performed on 1011 critically ill hematological patients. Relationship between ARF etiology and hospital mortality was assessed using a multivariable regression model adjusting for confounders.ResultsThis study included 604 patients with ARF. All patients underwent noninvasive diagnostic tests, and a bronchoscopy and bronchoalveolar lavage (BAL) was performed in 155 (25.6%). Definite diagnoses were classified into four exclusive etiological categories: pneumonia (44.4%), non-infectious diagnoses (32.6%), opportunistic infection (10.1%) and undetermined (12.9%), with corresponding hospital mortality rates of 40, 35, 55 and 59%, respectively. Overall hospital mortality was 42%. By multivariable analysis, factors associated with hospital mortality were invasive pulmonary aspergillosis (OR 7.57 (95% CI 3.06–21.62); p < 0.005), use of invasive mechanical ventilation (OR 1.65 (95% CI 1.07–2.55); p = 0.02), a SOFA score >7 (OR 3.32 (95% CI 2.15–5.15); p < 0.005) and an undetermined ARF etiology (OR 2.92 (95% CI 1.71–5.07); p < 0.005).ConclusionsIn patients with hematological malignancies and ARF, up to 13% remain with undetermined ARF etiology despite comprehensive diagnostic workup. Undetermined ARF etiology is independently associated with hospital mortality. Studies to guide second-line diagnostic strategies are warranted.ClinicalTrials.Gov NCT01172132 More... »

PAGES

102

References to SciGraph publications

  • 2012-11-21. Inflammatory cytokine measurement quickly discriminates gram-negative from gram-positive bacteremia in pediatric hematology/oncology patients with septic shock in INTENSIVE CARE MEDICINE
  • 2004-02-05. Incidence and prognostic value of respiratory events in acute leukemia in LEUKEMIA
  • 2014-09-13. Has survival increased in cancer patients admitted to the ICU? We are not sure in INTENSIVE CARE MEDICINE
  • 2013-09-12. Treatment of invasive fungal infections in cancer patients—updated recommendations of the Infectious Diseases Working Party (AGIHO) of the German Society of Hematology and Oncology (DGHO) in ANNALS OF HEMATOLOGY
  • 2006-04-29. Diagnostic strategy in cancer patients with acute respiratory failure in INTENSIVE CARE MEDICINE
  • 2014-08-27. Has survival increased in cancer patients admitted to the ICU? No in INTENSIVE CARE MEDICINE
  • 1996-07. The SOFA (Sepsis-related Organ Failure Assessment) score to describe organ dysfunction/failure in INTENSIVE CARE MEDICINE
  • 2014-06-28. What’s new in diagnosis and antimicrobial therapy of febrile neutropenic patients with lung infiltrates? in INTENSIVE CARE MEDICINE
  • 2011-08-25. Outcomes of mechanically ventilated hematology patients with invasive pulmonary aspergillosis in INTENSIVE CARE MEDICINE
  • 2008-10-14. Continued survival gains in recent years among critically ill myeloma patients in INTENSIVE CARE MEDICINE
  • 2013-02-15. Primary prophylaxis of bacterial infections and Pneumocystis jirovecii pneumonia in patients with hematological malignancies and solid tumors in ANNALS OF HEMATOLOGY
  • 2014-06-05. Acute respiratory distress syndrome in patients with malignancies in INTENSIVE CARE MEDICINE
  • 2013-12-18. Pulmonary manifestations of the pre-engraftment syndrome after umbilical cord blood transplantation in ANNALS OF HEMATOLOGY
  • 2014-08-27. Has survival increased in cancer patients admitted to the ICU? Yes in INTENSIVE CARE MEDICINE
  • 2008-04-24. Is BAL useful in patients with acute myeloid leukemia admitted in ICU for severe respiratory complications? in LEUKEMIA
  • 2014-06-28. Trends in admission prevalence, illness severity and survival of haematological patients treated in Dutch intensive care units in INTENSIVE CARE MEDICINE
  • 2012-12-03. Bronchiolitis obliterans syndrome after allogeneic hematopoietic SCT: phenotypes and prognosis in BONE MARROW TRANSPLANTATION
  • Journal

    TITLE

    Annals of Intensive Care

    ISSUE

    1

    VOLUME

    6

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/s13613-016-0202-0

    DOI

    http://dx.doi.org/10.1186/s13613-016-0202-0

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1011585102

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/27783381


    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"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "R\u00e9animation m\u00e9dicale, H\u00f4pital Saint Louis, APHP, Paris, France", 
              "id": "http://www.grid.ac/institutes/grid.413328.f", 
              "name": [
                "R\u00e9animation m\u00e9dicale, H\u00f4pital Saint Louis, APHP, Paris, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Contejean", 
            "givenName": "Adrien", 
            "id": "sg:person.0606272273.79", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0606272273.79"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "R\u00e9animation m\u00e9dicale, H\u00f4pital Saint Louis, APHP, Paris, France", 
              "id": "http://www.grid.ac/institutes/grid.413328.f", 
              "name": [
                "R\u00e9animation m\u00e9dicale, H\u00f4pital Saint Louis, APHP, 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": "Informatics and biostatistics, H\u00f4pital Saint Louis, APHP, Paris, France", 
              "id": "http://www.grid.ac/institutes/grid.413328.f", 
              "name": [
                "Informatics and biostatistics, H\u00f4pital Saint Louis, APHP, Paris, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Resche-Rigon", 
            "givenName": "Matthieu", 
            "id": "sg:person.01036155166.50", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01036155166.50"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Medical Intensive Care Unit, H\u00f4pital Saint-Louis, ECSTRA Team, Biostatistics and Clinical Epidemiology, UMR 1153 (Center of Epidemiology And Biostatistics Sorbonne Paris Cit\u00e9, CRESS), INSERM, Universit\u00e9 Paris Diderot Sorbonne, 1, Avenue Claude Vellefaux, 75010, Paris, France", 
              "id": "http://www.grid.ac/institutes/grid.413328.f", 
              "name": [
                "R\u00e9animation, Institut Paoli Calmettes, Marseille, France", 
                "Medical Intensive Care Unit, H\u00f4pital Saint-Louis, ECSTRA Team, Biostatistics and Clinical Epidemiology, UMR 1153 (Center of Epidemiology And Biostatistics Sorbonne Paris Cit\u00e9, CRESS), INSERM, Universit\u00e9 Paris Diderot Sorbonne, 1, Avenue Claude Vellefaux, 75010, Paris, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Mokart", 
            "givenName": "Djamel", 
            "id": "sg:person.0712223761.03", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0712223761.03"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "R\u00e9animation m\u00e9dicale, H\u00f4pital Cochin, APHP, Paris, France", 
              "id": "http://www.grid.ac/institutes/grid.411784.f", 
              "name": [
                "R\u00e9animation m\u00e9dicale, H\u00f4pital Cochin, APHP, Paris, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "P\u00e8ne", 
            "givenName": "Fr\u00e9d\u00e9ric", 
            "id": "sg:person.01131725526.16", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01131725526.16"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Service de Reanimation M\u00e9dicale et M\u00e9decine Hyperbare, CHU Angers, Angers, France", 
              "id": "http://www.grid.ac/institutes/grid.411147.6", 
              "name": [
                "Service de Reanimation M\u00e9dicale et M\u00e9decine Hyperbare, CHU Angers, Angers, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kouatchet", 
            "givenName": "Achille", 
            "id": "sg:person.01172201120.81", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01172201120.81"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Service de Pneumologie et R\u00e9animation, Groupe Hospitalier Piti\u00e9-Salp\u00eatri\u00e8re, APHP, Paris, France", 
              "id": "http://www.grid.ac/institutes/grid.411439.a", 
              "name": [
                "Service de Pneumologie et R\u00e9animation, Groupe Hospitalier Piti\u00e9-Salp\u00eatri\u00e8re, APHP, Paris, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Mayaux", 
            "givenName": "Julien", 
            "id": "sg:person.01256512217.24", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01256512217.24"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "R\u00e9animation polyvalente, H\u00f4pital Avicenne, APHP, Bobigny, France", 
              "id": "http://www.grid.ac/institutes/grid.413780.9", 
              "name": [
                "R\u00e9animation polyvalente, H\u00f4pital Avicenne, APHP, Bobigny, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Vincent", 
            "givenName": "Fran\u00e7ois", 
            "id": "sg:person.01106433227.02", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01106433227.02"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "R\u00e9animation polyvalente, H\u00f4pital V.Provo, Roubaix, France", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "R\u00e9animation polyvalente, H\u00f4pital V.Provo, Roubaix, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Nyunga", 
            "givenName": "Martine", 
            "id": "sg:person.01056664465.45", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01056664465.45"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "R\u00e9animation polyvalente, H\u00f4pital de Versailles, Le Chesnay, France", 
              "id": "http://www.grid.ac/institutes/grid.418080.5", 
              "name": [
                "R\u00e9animation polyvalente, H\u00f4pital de Versailles, Le Chesnay, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Bruneel", 
            "givenName": "Fabrice", 
            "id": "sg:person.01210722404.05", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01210722404.05"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "R\u00e9animation m\u00e9dicale, H\u00f4pital Cochin, APHP, Paris, France", 
              "id": "http://www.grid.ac/institutes/grid.411784.f", 
              "name": [
                "R\u00e9animation m\u00e9dicale, H\u00f4pital Cochin, APHP, Paris, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Rabbat", 
            "givenName": "Antoine", 
            "id": "sg:person.01267736170.35", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01267736170.35"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "R\u00e9animation m\u00e9dicale, H\u00f4pital Brabois, Nancy, France", 
              "id": "http://www.grid.ac/institutes/grid.410527.5", 
              "name": [
                "R\u00e9animation m\u00e9dicale, H\u00f4pital Brabois, Nancy, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Perez", 
            "givenName": "Pierre", 
            "id": "sg:person.01110107664.20", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01110107664.20"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Service des Soins Intensifs Medico-Chirurgicaux et Oncologie Thoracique, Institut Jules Bordet, Brussels, Belgium", 
              "id": "http://www.grid.ac/institutes/grid.418119.4", 
              "name": [
                "Service des Soins Intensifs Medico-Chirurgicaux et Oncologie Thoracique, Institut Jules Bordet, Brussels, Belgium"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Meert", 
            "givenName": "Anne-Pascale", 
            "id": "sg:person.0760414175.48", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0760414175.48"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "ICU, Ghent University Hospital, Ghent, Belgium", 
              "id": "http://www.grid.ac/institutes/grid.410566.0", 
              "name": [
                "ICU, Ghent University Hospital, Ghent, Belgium"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Benoit", 
            "givenName": "Dominique", 
            "id": "sg:person.01225564344.52", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01225564344.52"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "R\u00e9animation m\u00e9dicale, CHU de Grenoble, Grenoble, France", 
              "id": "http://www.grid.ac/institutes/grid.410529.b", 
              "name": [
                "R\u00e9animation m\u00e9dicale, CHU de Grenoble, Grenoble, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Hamidfar", 
            "givenName": "Rebecca", 
            "id": "sg:person.0637015115.97", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0637015115.97"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "R\u00e9animation polyvalente, CHU de Saint-Etienne, Saint-Piest-en-Jarrez, France", 
              "id": "http://www.grid.ac/institutes/grid.412954.f", 
              "name": [
                "R\u00e9animation polyvalente, CHU de Saint-Etienne, Saint-Piest-en-Jarrez, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Darmon", 
            "givenName": "Michael", 
            "id": "sg:person.01027641050.35", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01027641050.35"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "R\u00e9animation polyvalente, CHRU de Lille, Lille, France", 
              "id": "http://www.grid.ac/institutes/grid.410463.4", 
              "name": [
                "R\u00e9animation polyvalente, CHRU de Lille, Lille, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Jourdain", 
            "givenName": "Merc\u00e9", 
            "id": "sg:person.0623527031.96", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0623527031.96"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "R\u00e9animation et Urgences M\u00e9dicales, CHU de la Cavale Blanche, Brest, France", 
              "id": "http://www.grid.ac/institutes/grid.411766.3", 
              "name": [
                "R\u00e9animation et Urgences M\u00e9dicales, CHU de la Cavale Blanche, Brest, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Renault", 
            "givenName": "Anne", 
            "id": "sg:person.01132573740.13", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01132573740.13"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "R\u00e9animation m\u00e9dicale, H\u00f4pital Saint Louis, APHP, Paris, France", 
              "id": "http://www.grid.ac/institutes/grid.413328.f", 
              "name": [
                "R\u00e9animation m\u00e9dicale, H\u00f4pital Saint Louis, APHP, Paris, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Schlemmer", 
            "givenName": "Beno\u00eet", 
            "id": "sg:person.0737772045.51", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0737772045.51"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Medical Intensive Care Unit, H\u00f4pital Saint-Louis, ECSTRA Team, Biostatistics and Clinical Epidemiology, UMR 1153 (Center of Epidemiology And Biostatistics Sorbonne Paris Cit\u00e9, CRESS), INSERM, Universit\u00e9 Paris Diderot Sorbonne, 1, Avenue Claude Vellefaux, 75010, Paris, France", 
              "id": "http://www.grid.ac/institutes/grid.413328.f", 
              "name": [
                "R\u00e9animation m\u00e9dicale, H\u00f4pital Saint Louis, APHP, Paris, France", 
                "Medical Intensive Care Unit, H\u00f4pital Saint-Louis, ECSTRA Team, Biostatistics and Clinical Epidemiology, UMR 1153 (Center of Epidemiology And Biostatistics Sorbonne Paris Cit\u00e9, CRESS), INSERM, Universit\u00e9 Paris Diderot Sorbonne, 1, Avenue Claude Vellefaux, 75010, Paris, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Azoulay", 
            "givenName": "Elie", 
            "id": "sg:person.01352577613.57", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01352577613.57"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/s00277-013-1981-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041514369", 
              "https://doi.org/10.1007/s00277-013-1981-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00134-008-1320-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046047562", 
              "https://doi.org/10.1007/s00134-008-1320-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00134-014-3368-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045779681", 
              "https://doi.org/10.1007/s00134-014-3368-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/sj.leu.2403270", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028314462", 
              "https://doi.org/10.1038/sj.leu.2403270"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/bmt.2012.241", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014980196", 
              "https://doi.org/10.1038/bmt.2012.241"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00134-014-3412-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024767505", 
              "https://doi.org/10.1007/s00134-014-3412-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00134-006-0129-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002119565", 
              "https://doi.org/10.1007/s00134-006-0129-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/leu.2008.100", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033685851", 
              "https://doi.org/10.1038/leu.2008.100"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00134-012-2752-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007306139", 
              "https://doi.org/10.1007/s00134-012-2752-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00134-014-3354-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001445394", 
              "https://doi.org/10.1007/s00134-014-3354-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00277-013-1698-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023468960", 
              "https://doi.org/10.1007/s00277-013-1698-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00134-014-3480-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034895594", 
              "https://doi.org/10.1007/s00134-014-3480-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00134-014-3433-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013443524", 
              "https://doi.org/10.1007/s00134-014-3433-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00277-013-1867-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036547529", 
              "https://doi.org/10.1007/s00277-013-1867-1"
            ], 
            "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"
          }, 
          {
            "id": "sg:pub.10.1007/s00134-014-3373-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015696336", 
              "https://doi.org/10.1007/s00134-014-3373-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00134-011-2344-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012664725", 
              "https://doi.org/10.1007/s00134-011-2344-8"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2016-10-25", 
        "datePublishedReg": "2016-10-25", 
        "description": "BackgroundAcute respiratory failure (ARF) is the most frequent complication in patients with hematological malignancies and is associated with high morbidity and mortality. ARF etiologies are numerous, and despite extensive diagnostic workflow, some patients remain with undetermined ARF etiology.MethodsThis is a post-hoc study of a prospective multicenter cohort performed on 1011 critically ill hematological patients. Relationship between ARF etiology and hospital mortality was assessed using a multivariable regression model adjusting for confounders.ResultsThis study included 604 patients with ARF. All patients underwent noninvasive diagnostic tests, and a bronchoscopy and bronchoalveolar lavage (BAL) was performed in 155 (25.6%). Definite diagnoses were classified into four exclusive etiological categories: pneumonia (44.4%), non-infectious diagnoses (32.6%), opportunistic infection (10.1%) and undetermined (12.9%), with corresponding hospital mortality rates of 40, 35, 55 and 59%, respectively. Overall hospital mortality was 42%. By multivariable analysis, factors associated with hospital mortality were invasive pulmonary aspergillosis (OR 7.57 (95% CI 3.06\u201321.62); p\u00a0<\u00a00.005), use of invasive mechanical ventilation (OR 1.65 (95% CI 1.07\u20132.55); p\u00a0=\u00a00.02), a SOFA score >7 (OR 3.32 (95% CI 2.15\u20135.15); p\u00a0<\u00a00.005) and an undetermined ARF etiology (OR 2.92 (95% CI 1.71\u20135.07); p\u00a0<\u00a00.005).ConclusionsIn patients with hematological malignancies and ARF, up to 13% remain with undetermined ARF etiology despite comprehensive diagnostic workup. Undetermined ARF etiology is independently associated with hospital mortality. Studies to guide second-line diagnostic strategies are warranted.ClinicalTrials.Gov NCT01172132", 
        "genre": "article", 
        "id": "sg:pub.10.1186/s13613-016-0202-0", 
        "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": "6"
          }
        ], 
        "keywords": [
          "ARF etiology", 
          "hospital mortality", 
          "respiratory failure", 
          "bronchoalveolar lavage", 
          "hematological malignancies", 
          "ill hematological patients", 
          "non-infectious diagnoses", 
          "hospital mortality rate", 
          "overall hospital mortality", 
          "invasive mechanical ventilation", 
          "acute respiratory failure", 
          "prospective multicenter cohort", 
          "hematological malignancy patients", 
          "invasive pulmonary aspergillosis", 
          "comprehensive diagnostic workup", 
          "noninvasive diagnostic test", 
          "multivariable regression models", 
          "SOFA score", 
          "ConclusionsIn patients", 
          "malignancy patients", 
          "frequent complication", 
          "hematological patients", 
          "undetermined etiology", 
          "multicenter cohort", 
          "opportunistic infections", 
          "multivariable analysis", 
          "pulmonary aspergillosis", 
          "mechanical ventilation", 
          "high morbidity", 
          "definite diagnosis", 
          "diagnostic workup", 
          "etiological categories", 
          "patients", 
          "mortality rate", 
          "etiology", 
          "mortality", 
          "diagnostic strategies", 
          "diagnostic tests", 
          "malignancy", 
          "diagnostic workflow", 
          "diagnosis", 
          "regression models", 
          "respiratoires", 
          "MethodsThis", 
          "morbidity", 
          "bronchoscopy", 
          "pneumonia", 
          "complications", 
          "lavage", 
          "failure", 
          "aspergillosis", 
          "confounders", 
          "cohort", 
          "workup", 
          "infection", 
          "study", 
          "ventilation", 
          "scores", 
          "ARF", 
          "factors", 
          "rate", 
          "Groupe de Recherche", 
          "test", 
          "use", 
          "categories", 
          "strategies", 
          "relationship", 
          "Recherche", 
          "analysis", 
          "model", 
          "workflow"
        ], 
        "name": "Increased mortality in hematological malignancy patients with acute respiratory failure from undetermined etiology: a Groupe de Recherche en R\u00e9animation Respiratoire en Onco-H\u00e9matologie (Grrr-OH) study", 
        "pagination": "102", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1011585102"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1186/s13613-016-0202-0"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "27783381"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1186/s13613-016-0202-0", 
          "https://app.dimensions.ai/details/publication/pub.1011585102"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-11-24T21:00", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20221124/entities/gbq_results/article/article_686.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1186/s13613-016-0202-0"
      }
    ]
     

    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/s13613-016-0202-0'

    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/s13613-016-0202-0'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s13613-016-0202-0'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s13613-016-0202-0'


     

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

    376 TRIPLES      21 PREDICATES      113 URIs      88 LITERALS      7 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1186/s13613-016-0202-0 schema:about anzsrc-for:11
    2 anzsrc-for:1103
    3 schema:author N6a4bbfd090b5434094aa8872fa76a561
    4 schema:citation sg:pub.10.1007/bf01709751
    5 sg:pub.10.1007/s00134-006-0129-2
    6 sg:pub.10.1007/s00134-008-1320-4
    7 sg:pub.10.1007/s00134-011-2344-8
    8 sg:pub.10.1007/s00134-012-2752-4
    9 sg:pub.10.1007/s00134-014-3354-0
    10 sg:pub.10.1007/s00134-014-3368-7
    11 sg:pub.10.1007/s00134-014-3373-x
    12 sg:pub.10.1007/s00134-014-3412-7
    13 sg:pub.10.1007/s00134-014-3433-2
    14 sg:pub.10.1007/s00134-014-3480-8
    15 sg:pub.10.1007/s00277-013-1698-0
    16 sg:pub.10.1007/s00277-013-1867-1
    17 sg:pub.10.1007/s00277-013-1981-0
    18 sg:pub.10.1038/bmt.2012.241
    19 sg:pub.10.1038/leu.2008.100
    20 sg:pub.10.1038/sj.leu.2403270
    21 schema:datePublished 2016-10-25
    22 schema:datePublishedReg 2016-10-25
    23 schema:description BackgroundAcute respiratory failure (ARF) is the most frequent complication in patients with hematological malignancies and is associated with high morbidity and mortality. ARF etiologies are numerous, and despite extensive diagnostic workflow, some patients remain with undetermined ARF etiology.MethodsThis is a post-hoc study of a prospective multicenter cohort performed on 1011 critically ill hematological patients. Relationship between ARF etiology and hospital mortality was assessed using a multivariable regression model adjusting for confounders.ResultsThis study included 604 patients with ARF. All patients underwent noninvasive diagnostic tests, and a bronchoscopy and bronchoalveolar lavage (BAL) was performed in 155 (25.6%). Definite diagnoses were classified into four exclusive etiological categories: pneumonia (44.4%), non-infectious diagnoses (32.6%), opportunistic infection (10.1%) and undetermined (12.9%), with corresponding hospital mortality rates of 40, 35, 55 and 59%, respectively. Overall hospital mortality was 42%. By multivariable analysis, factors associated with hospital mortality were invasive pulmonary aspergillosis (OR 7.57 (95% CI 3.06–21.62); p < 0.005), use of invasive mechanical ventilation (OR 1.65 (95% CI 1.07–2.55); p = 0.02), a SOFA score >7 (OR 3.32 (95% CI 2.15–5.15); p < 0.005) and an undetermined ARF etiology (OR 2.92 (95% CI 1.71–5.07); p < 0.005).ConclusionsIn patients with hematological malignancies and ARF, up to 13% remain with undetermined ARF etiology despite comprehensive diagnostic workup. Undetermined ARF etiology is independently associated with hospital mortality. Studies to guide second-line diagnostic strategies are warranted.ClinicalTrials.Gov NCT01172132
    24 schema:genre article
    25 schema:isAccessibleForFree true
    26 schema:isPartOf Ncfea91f5ef704e5797e4fab5ccd9d12b
    27 Nd8d79accece24d5ab6c428bfb1a807a3
    28 sg:journal.1045300
    29 schema:keywords ARF
    30 ARF etiology
    31 ConclusionsIn patients
    32 Groupe de Recherche
    33 MethodsThis
    34 Recherche
    35 SOFA score
    36 acute respiratory failure
    37 analysis
    38 aspergillosis
    39 bronchoalveolar lavage
    40 bronchoscopy
    41 categories
    42 cohort
    43 complications
    44 comprehensive diagnostic workup
    45 confounders
    46 definite diagnosis
    47 diagnosis
    48 diagnostic strategies
    49 diagnostic tests
    50 diagnostic workflow
    51 diagnostic workup
    52 etiological categories
    53 etiology
    54 factors
    55 failure
    56 frequent complication
    57 hematological malignancies
    58 hematological malignancy patients
    59 hematological patients
    60 high morbidity
    61 hospital mortality
    62 hospital mortality rate
    63 ill hematological patients
    64 infection
    65 invasive mechanical ventilation
    66 invasive pulmonary aspergillosis
    67 lavage
    68 malignancy
    69 malignancy patients
    70 mechanical ventilation
    71 model
    72 morbidity
    73 mortality
    74 mortality rate
    75 multicenter cohort
    76 multivariable analysis
    77 multivariable regression models
    78 non-infectious diagnoses
    79 noninvasive diagnostic test
    80 opportunistic infections
    81 overall hospital mortality
    82 patients
    83 pneumonia
    84 prospective multicenter cohort
    85 pulmonary aspergillosis
    86 rate
    87 regression models
    88 relationship
    89 respiratoires
    90 respiratory failure
    91 scores
    92 strategies
    93 study
    94 test
    95 undetermined etiology
    96 use
    97 ventilation
    98 workflow
    99 workup
    100 schema:name Increased mortality in hematological malignancy patients with acute respiratory failure from undetermined etiology: a Groupe de Recherche en Réanimation Respiratoire en Onco-Hématologie (Grrr-OH) study
    101 schema:pagination 102
    102 schema:productId N3ebd0d3e654e4e24a42d23cd48cdfa51
    103 N6f9199dc6b3246e2a779f2f1520c7348
    104 Nd8761c1727834f3cbfc948a50b89acad
    105 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011585102
    106 https://doi.org/10.1186/s13613-016-0202-0
    107 schema:sdDatePublished 2022-11-24T21:00
    108 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    109 schema:sdPublisher N8866e566f09a49e9963f69149a2553ed
    110 schema:url https://doi.org/10.1186/s13613-016-0202-0
    111 sgo:license sg:explorer/license/
    112 sgo:sdDataset articles
    113 rdf:type schema:ScholarlyArticle
    114 N03aca3b81fa54c0c8c02689ea017f2fc rdf:first sg:person.01056664465.45
    115 rdf:rest N6313c24454bb487690db52d433655361
    116 N224956b17abf4e09b0010d048bbdd937 rdf:first sg:person.01267736170.35
    117 rdf:rest Na5976b025c5d400b9a55f3483313ca41
    118 N36906da283ca4eb3a4bf58f539609199 rdf:first sg:person.0737772045.51
    119 rdf:rest Nffe12fb2b00f4860b298cdc43b374c13
    120 N3711e529070541e690793ccb32c8d47d rdf:first sg:person.01256512217.24
    121 rdf:rest N70fd25db8261408880316a90987cc2c3
    122 N3ebd0d3e654e4e24a42d23cd48cdfa51 schema:name pubmed_id
    123 schema:value 27783381
    124 rdf:type schema:PropertyValue
    125 N4c4e82e29fe94453aa5840af0e951b15 rdf:first sg:person.01225564344.52
    126 rdf:rest N632223dabb104f03aa88165c2e6656dc
    127 N4e843884a245444e9ad3d9f60e6a33bb rdf:first sg:person.0712223761.03
    128 rdf:rest N69dbead5116b4f93a35def9faaeb024a
    129 N5931614b93dd4dc0a76bbaa15b2250f6 rdf:first sg:person.01027641050.35
    130 rdf:rest N9cf088ec7de64580babb38dea619a1fb
    131 N6313c24454bb487690db52d433655361 rdf:first sg:person.01210722404.05
    132 rdf:rest N224956b17abf4e09b0010d048bbdd937
    133 N632223dabb104f03aa88165c2e6656dc rdf:first sg:person.0637015115.97
    134 rdf:rest N5931614b93dd4dc0a76bbaa15b2250f6
    135 N69dbead5116b4f93a35def9faaeb024a rdf:first sg:person.01131725526.16
    136 rdf:rest Na99aec44fb6649768bcfd512ef2000a8
    137 N6a4bbfd090b5434094aa8872fa76a561 rdf:first sg:person.0606272273.79
    138 rdf:rest Ned07e68df7f34c7186c78e8d5e7752c5
    139 N6f9199dc6b3246e2a779f2f1520c7348 schema:name dimensions_id
    140 schema:value pub.1011585102
    141 rdf:type schema:PropertyValue
    142 N70fd25db8261408880316a90987cc2c3 rdf:first sg:person.01106433227.02
    143 rdf:rest N03aca3b81fa54c0c8c02689ea017f2fc
    144 N8866e566f09a49e9963f69149a2553ed schema:name Springer Nature - SN SciGraph project
    145 rdf:type schema:Organization
    146 N8b7a6cc7278b477c81b0275529ec5844 rdf:first sg:person.01036155166.50
    147 rdf:rest N4e843884a245444e9ad3d9f60e6a33bb
    148 N91fd3ccdabfa4cd9a4b820dee9f0956f rdf:first sg:person.01132573740.13
    149 rdf:rest N36906da283ca4eb3a4bf58f539609199
    150 N9cf088ec7de64580babb38dea619a1fb rdf:first sg:person.0623527031.96
    151 rdf:rest N91fd3ccdabfa4cd9a4b820dee9f0956f
    152 Na5976b025c5d400b9a55f3483313ca41 rdf:first sg:person.01110107664.20
    153 rdf:rest Naab3a7e4c61445a2afabcc1e6b76ed2d
    154 Na99aec44fb6649768bcfd512ef2000a8 rdf:first sg:person.01172201120.81
    155 rdf:rest N3711e529070541e690793ccb32c8d47d
    156 Naab3a7e4c61445a2afabcc1e6b76ed2d rdf:first sg:person.0760414175.48
    157 rdf:rest N4c4e82e29fe94453aa5840af0e951b15
    158 Ncfea91f5ef704e5797e4fab5ccd9d12b schema:issueNumber 1
    159 rdf:type schema:PublicationIssue
    160 Nd8761c1727834f3cbfc948a50b89acad schema:name doi
    161 schema:value 10.1186/s13613-016-0202-0
    162 rdf:type schema:PropertyValue
    163 Nd8d79accece24d5ab6c428bfb1a807a3 schema:volumeNumber 6
    164 rdf:type schema:PublicationVolume
    165 Ned07e68df7f34c7186c78e8d5e7752c5 rdf:first sg:person.01027707313.46
    166 rdf:rest N8b7a6cc7278b477c81b0275529ec5844
    167 Nffe12fb2b00f4860b298cdc43b374c13 rdf:first sg:person.01352577613.57
    168 rdf:rest rdf:nil
    169 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
    170 schema:name Medical and Health Sciences
    171 rdf:type schema:DefinedTerm
    172 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
    173 schema:name Clinical Sciences
    174 rdf:type schema:DefinedTerm
    175 sg:journal.1045300 schema:issn 2110-5820
    176 schema:name Annals of Intensive Care
    177 schema:publisher Springer Nature
    178 rdf:type schema:Periodical
    179 sg:person.01027641050.35 schema:affiliation grid-institutes:grid.412954.f
    180 schema:familyName Darmon
    181 schema:givenName Michael
    182 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01027641050.35
    183 rdf:type schema:Person
    184 sg:person.01027707313.46 schema:affiliation grid-institutes:grid.413328.f
    185 schema:familyName Lemiale
    186 schema:givenName Virginie
    187 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01027707313.46
    188 rdf:type schema:Person
    189 sg:person.01036155166.50 schema:affiliation grid-institutes:grid.413328.f
    190 schema:familyName Resche-Rigon
    191 schema:givenName Matthieu
    192 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01036155166.50
    193 rdf:type schema:Person
    194 sg:person.01056664465.45 schema:affiliation grid-institutes:None
    195 schema:familyName Nyunga
    196 schema:givenName Martine
    197 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01056664465.45
    198 rdf:type schema:Person
    199 sg:person.01106433227.02 schema:affiliation grid-institutes:grid.413780.9
    200 schema:familyName Vincent
    201 schema:givenName François
    202 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01106433227.02
    203 rdf:type schema:Person
    204 sg:person.01110107664.20 schema:affiliation grid-institutes:grid.410527.5
    205 schema:familyName Perez
    206 schema:givenName Pierre
    207 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01110107664.20
    208 rdf:type schema:Person
    209 sg:person.01131725526.16 schema:affiliation grid-institutes:grid.411784.f
    210 schema:familyName Pène
    211 schema:givenName Frédéric
    212 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01131725526.16
    213 rdf:type schema:Person
    214 sg:person.01132573740.13 schema:affiliation grid-institutes:grid.411766.3
    215 schema:familyName Renault
    216 schema:givenName Anne
    217 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01132573740.13
    218 rdf:type schema:Person
    219 sg:person.01172201120.81 schema:affiliation grid-institutes:grid.411147.6
    220 schema:familyName Kouatchet
    221 schema:givenName Achille
    222 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01172201120.81
    223 rdf:type schema:Person
    224 sg:person.01210722404.05 schema:affiliation grid-institutes:grid.418080.5
    225 schema:familyName Bruneel
    226 schema:givenName Fabrice
    227 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01210722404.05
    228 rdf:type schema:Person
    229 sg:person.01225564344.52 schema:affiliation grid-institutes:grid.410566.0
    230 schema:familyName Benoit
    231 schema:givenName Dominique
    232 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01225564344.52
    233 rdf:type schema:Person
    234 sg:person.01256512217.24 schema:affiliation grid-institutes:grid.411439.a
    235 schema:familyName Mayaux
    236 schema:givenName Julien
    237 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01256512217.24
    238 rdf:type schema:Person
    239 sg:person.01267736170.35 schema:affiliation grid-institutes:grid.411784.f
    240 schema:familyName Rabbat
    241 schema:givenName Antoine
    242 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01267736170.35
    243 rdf:type schema:Person
    244 sg:person.01352577613.57 schema:affiliation grid-institutes:grid.413328.f
    245 schema:familyName Azoulay
    246 schema:givenName Elie
    247 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01352577613.57
    248 rdf:type schema:Person
    249 sg:person.0606272273.79 schema:affiliation grid-institutes:grid.413328.f
    250 schema:familyName Contejean
    251 schema:givenName Adrien
    252 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0606272273.79
    253 rdf:type schema:Person
    254 sg:person.0623527031.96 schema:affiliation grid-institutes:grid.410463.4
    255 schema:familyName Jourdain
    256 schema:givenName Mercé
    257 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0623527031.96
    258 rdf:type schema:Person
    259 sg:person.0637015115.97 schema:affiliation grid-institutes:grid.410529.b
    260 schema:familyName Hamidfar
    261 schema:givenName Rebecca
    262 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0637015115.97
    263 rdf:type schema:Person
    264 sg:person.0712223761.03 schema:affiliation grid-institutes:grid.413328.f
    265 schema:familyName Mokart
    266 schema:givenName Djamel
    267 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0712223761.03
    268 rdf:type schema:Person
    269 sg:person.0737772045.51 schema:affiliation grid-institutes:grid.413328.f
    270 schema:familyName Schlemmer
    271 schema:givenName Benoît
    272 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0737772045.51
    273 rdf:type schema:Person
    274 sg:person.0760414175.48 schema:affiliation grid-institutes:grid.418119.4
    275 schema:familyName Meert
    276 schema:givenName Anne-Pascale
    277 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0760414175.48
    278 rdf:type schema:Person
    279 sg:pub.10.1007/bf01709751 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052044737
    280 https://doi.org/10.1007/bf01709751
    281 rdf:type schema:CreativeWork
    282 sg:pub.10.1007/s00134-006-0129-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002119565
    283 https://doi.org/10.1007/s00134-006-0129-2
    284 rdf:type schema:CreativeWork
    285 sg:pub.10.1007/s00134-008-1320-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046047562
    286 https://doi.org/10.1007/s00134-008-1320-4
    287 rdf:type schema:CreativeWork
    288 sg:pub.10.1007/s00134-011-2344-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012664725
    289 https://doi.org/10.1007/s00134-011-2344-8
    290 rdf:type schema:CreativeWork
    291 sg:pub.10.1007/s00134-012-2752-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007306139
    292 https://doi.org/10.1007/s00134-012-2752-4
    293 rdf:type schema:CreativeWork
    294 sg:pub.10.1007/s00134-014-3354-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001445394
    295 https://doi.org/10.1007/s00134-014-3354-0
    296 rdf:type schema:CreativeWork
    297 sg:pub.10.1007/s00134-014-3368-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045779681
    298 https://doi.org/10.1007/s00134-014-3368-7
    299 rdf:type schema:CreativeWork
    300 sg:pub.10.1007/s00134-014-3373-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1015696336
    301 https://doi.org/10.1007/s00134-014-3373-x
    302 rdf:type schema:CreativeWork
    303 sg:pub.10.1007/s00134-014-3412-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024767505
    304 https://doi.org/10.1007/s00134-014-3412-7
    305 rdf:type schema:CreativeWork
    306 sg:pub.10.1007/s00134-014-3433-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013443524
    307 https://doi.org/10.1007/s00134-014-3433-2
    308 rdf:type schema:CreativeWork
    309 sg:pub.10.1007/s00134-014-3480-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034895594
    310 https://doi.org/10.1007/s00134-014-3480-8
    311 rdf:type schema:CreativeWork
    312 sg:pub.10.1007/s00277-013-1698-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023468960
    313 https://doi.org/10.1007/s00277-013-1698-0
    314 rdf:type schema:CreativeWork
    315 sg:pub.10.1007/s00277-013-1867-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036547529
    316 https://doi.org/10.1007/s00277-013-1867-1
    317 rdf:type schema:CreativeWork
    318 sg:pub.10.1007/s00277-013-1981-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041514369
    319 https://doi.org/10.1007/s00277-013-1981-0
    320 rdf:type schema:CreativeWork
    321 sg:pub.10.1038/bmt.2012.241 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014980196
    322 https://doi.org/10.1038/bmt.2012.241
    323 rdf:type schema:CreativeWork
    324 sg:pub.10.1038/leu.2008.100 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033685851
    325 https://doi.org/10.1038/leu.2008.100
    326 rdf:type schema:CreativeWork
    327 sg:pub.10.1038/sj.leu.2403270 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028314462
    328 https://doi.org/10.1038/sj.leu.2403270
    329 rdf:type schema:CreativeWork
    330 grid-institutes:None schema:alternateName Réanimation polyvalente, Hôpital V.Provo, Roubaix, France
    331 schema:name Réanimation polyvalente, Hôpital V.Provo, Roubaix, France
    332 rdf:type schema:Organization
    333 grid-institutes:grid.410463.4 schema:alternateName Réanimation polyvalente, CHRU de Lille, Lille, France
    334 schema:name Réanimation polyvalente, CHRU de Lille, Lille, France
    335 rdf:type schema:Organization
    336 grid-institutes:grid.410527.5 schema:alternateName Réanimation médicale, Hôpital Brabois, Nancy, France
    337 schema:name Réanimation médicale, Hôpital Brabois, Nancy, France
    338 rdf:type schema:Organization
    339 grid-institutes:grid.410529.b schema:alternateName Réanimation médicale, CHU de Grenoble, Grenoble, France
    340 schema:name Réanimation médicale, CHU de Grenoble, Grenoble, France
    341 rdf:type schema:Organization
    342 grid-institutes:grid.410566.0 schema:alternateName ICU, Ghent University Hospital, Ghent, Belgium
    343 schema:name ICU, Ghent University Hospital, Ghent, Belgium
    344 rdf:type schema:Organization
    345 grid-institutes:grid.411147.6 schema:alternateName Service de Reanimation Médicale et Médecine Hyperbare, CHU Angers, Angers, France
    346 schema:name Service de Reanimation Médicale et Médecine Hyperbare, CHU Angers, Angers, France
    347 rdf:type schema:Organization
    348 grid-institutes:grid.411439.a schema:alternateName Service de Pneumologie et Réanimation, Groupe Hospitalier Pitié-Salpêtrière, APHP, Paris, France
    349 schema:name Service de Pneumologie et Réanimation, Groupe Hospitalier Pitié-Salpêtrière, APHP, Paris, France
    350 rdf:type schema:Organization
    351 grid-institutes:grid.411766.3 schema:alternateName Réanimation et Urgences Médicales, CHU de la Cavale Blanche, Brest, France
    352 schema:name Réanimation et Urgences Médicales, CHU de la Cavale Blanche, Brest, France
    353 rdf:type schema:Organization
    354 grid-institutes:grid.411784.f schema:alternateName Réanimation médicale, Hôpital Cochin, APHP, Paris, France
    355 schema:name Réanimation médicale, Hôpital Cochin, APHP, Paris, France
    356 rdf:type schema:Organization
    357 grid-institutes:grid.412954.f schema:alternateName Réanimation polyvalente, CHU de Saint-Etienne, Saint-Piest-en-Jarrez, France
    358 schema:name Réanimation polyvalente, CHU de Saint-Etienne, Saint-Piest-en-Jarrez, France
    359 rdf:type schema:Organization
    360 grid-institutes:grid.413328.f schema:alternateName Informatics and biostatistics, Hôpital Saint Louis, APHP, Paris, France
    361 Medical Intensive Care Unit, Hôpital Saint-Louis, ECSTRA Team, Biostatistics and Clinical Epidemiology, UMR 1153 (Center of Epidemiology And Biostatistics Sorbonne Paris Cité, CRESS), INSERM, Université Paris Diderot Sorbonne, 1, Avenue Claude Vellefaux, 75010, Paris, France
    362 Réanimation médicale, Hôpital Saint Louis, APHP, Paris, France
    363 schema:name Informatics and biostatistics, Hôpital Saint Louis, APHP, Paris, France
    364 Medical Intensive Care Unit, Hôpital Saint-Louis, ECSTRA Team, Biostatistics and Clinical Epidemiology, UMR 1153 (Center of Epidemiology And Biostatistics Sorbonne Paris Cité, CRESS), INSERM, Université Paris Diderot Sorbonne, 1, Avenue Claude Vellefaux, 75010, Paris, France
    365 Réanimation médicale, Hôpital Saint Louis, APHP, Paris, France
    366 Réanimation, Institut Paoli Calmettes, Marseille, France
    367 rdf:type schema:Organization
    368 grid-institutes:grid.413780.9 schema:alternateName Réanimation polyvalente, Hôpital Avicenne, APHP, Bobigny, France
    369 schema:name Réanimation polyvalente, Hôpital Avicenne, APHP, Bobigny, France
    370 rdf:type schema:Organization
    371 grid-institutes:grid.418080.5 schema:alternateName Réanimation polyvalente, Hôpital de Versailles, Le Chesnay, France
    372 schema:name Réanimation polyvalente, Hôpital de Versailles, Le Chesnay, France
    373 rdf:type schema:Organization
    374 grid-institutes:grid.418119.4 schema:alternateName Service des Soins Intensifs Medico-Chirurgicaux et Oncologie Thoracique, Institut Jules Bordet, Brussels, Belgium
    375 schema:name Service des Soins Intensifs Medico-Chirurgicaux et Oncologie Thoracique, Institut Jules Bordet, Brussels, Belgium
    376 rdf:type schema:Organization
     




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


    ...