Candidaemia and a risk predictive model for overall mortality: a prospective multicentre study View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-05-21

AUTHORS

C. Keighley, S. C-A. Chen, D. Marriott, A. Pope, B. Chapman, K. Kennedy, N. Bak, N. Underwood, H. L. Wilson, K. McDonald, J. Darvall, C. Halliday, S. Kidd, Q. Nguyen, K. Hajkowicz, T. C. Sorrell, S. Van Hal, M. A. Slavin

ABSTRACT

BackgroundCandidaemia is associated with high mortality. Variables associated with mortality have been published previously, but not developed into a risk predictive model for mortality. We sought to describe the current epidemiology of candidaemia in Australia, analyse predictors of 30-day all-cause mortality, and develop and validate a mortality risk predictive model.MethodsAdults with candidaemia were studied prospectively over 12 months at eight institutions. Clinical and laboratory variables at time of blood culture-positivity were subject to multivariate analysis for association with 30-day all-cause mortality. A predictive score for mortality was examined by area under receiver operator characteristic curves and a historical data set was used for validation.ResultsThe median age of 133 patients with candidaemia was 62 years; 76 (57%) were male and 57 (43%) were female. Co-morbidities included underlying haematologic malignancy (n = 20; 15%), and solid organ malignancy in (n = 25; 19%); 55 (41%) were in an intensive care unit (ICU). Non-albicans Candida spp. accounted for 61% of cases (81/133). All-cause 30-day mortality was 31%. A gastrointestinal or unknown source was associated with higher overall mortality than an intravascular or urologic source (p < 0.01). A risk predictive score based on age > 65 years, ICU admission, chronic organ dysfunction, preceding surgery within 30 days, haematological malignancy, source of candidaemia and antibiotic therapy for ≥10 days stratified patients into < 20% or ≥ 20% predicted mortality. The model retained accuracy when validated against a historical dataset (n = 741).ConclusionsMortality in patients with candidaemia remains high. A simple mortality risk predictive score stratifying patients with candidaemia into < 20% and ≥ 20% 30-day mortality is presented. This model uses information available at time of candidaemia diagnosis is easy to incorporate into decision support systems. Further validation of this model is warranted. More... »

PAGES

445

Journal

TITLE

BMC Infectious Diseases

ISSUE

1

VOLUME

19

Author Affiliations

  • Department of Infectious Diseases, Westmead Hospital, Westmead, Sydney, NSW, Australia
  • Department of Microbiology and Infectious Diseases, St. Vincent’s Hospital, Sydney, NSW, Australia
  • School of Mathematics and Statistics, University of NSW, Sydney, NSW, Australia
  • Westmead Institute for Medical Research, Westmead, NSW, Australia
  • Department of Infectious Diseases and Microbiology, Canberra Hospital, Australian National University Medical School, Canberra, ACT, Australia
  • Department of Infectious Diseases, Royal Adelaide Hospital, Adelaide, SA, Australia
  • Infection Management Services, Princess Alexandra Hospital, Brisbane, QLD, Australia
  • Department of Intensive Care, Royal Melbourne Hospital, Melbourne, VIC, Australia
  • Centre for Infectious Diseases and Microbiology Laboratory Services, ICPMR, New South Wales Health Pathology, Westmead Hospital, Darcy Rd, 3rd Level, ICPMR Building, Westmead, 2145, Sydney, New South Wales, Australia
  • National Mycology Reference Centre, SA Pathology, Adelaide, SA, Australia
  • National Centre for Clinical Excellence on Emerging Drugs of Concern (NCCRED), National Drug and Alcohol Research Centre (NDARC), University of New South Wales, Sydney, Australia
  • Department of Infectious Diseases, Royal Brisbane and Women’s Hospital, School of Medicine, University of Queensland, Brisbane, QLD, Australia
  • Department of Infectious Diseases and Microbiology, New South Wales Health Pathology, Royal Prince Alfred Hospital, Sydney, NSW, Australia
  • Department of Infectious Diseases, Peter MacCallum Cancer Centre, National Centre for Infections in Cancer, Melbourne, VIC, Australia
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/s12879-019-4065-5

    DOI

    http://dx.doi.org/10.1186/s12879-019-4065-5

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1115023219

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/31113382


    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"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Aged", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Antifungal Agents", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Australia", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Candida", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Candidemia", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Female", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Hematologic Neoplasms", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Hospitalization", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Humans", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Intensive Care Units", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Male", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Middle Aged", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Multivariate Analysis", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Predictive Value of Tests", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Prospective Studies", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "ROC Curve", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Risk Factors", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Department of Infectious Diseases, Westmead Hospital, Westmead, Sydney, NSW, Australia", 
              "id": "http://www.grid.ac/institutes/grid.413252.3", 
              "name": [
                "Centre for Infectious Diseases and Microbiology Laboratory Services, ICPMR, New South Wales Health Pathology, Westmead Hospital, Darcy Rd, 3rd Level, ICPMR Building, Westmead, 2145, Sydney, New South Wales, Australia", 
                "Marie Bashir Institute for Infectious Diseases and Biosecurity, The University of Sydney, Sydney, NSW, Australia", 
                "Department of Infectious Diseases, Westmead Hospital, Westmead, Sydney, NSW, Australia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Keighley", 
            "givenName": "C.", 
            "id": "sg:person.010032712665.59", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010032712665.59"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Infectious Diseases, Westmead Hospital, Westmead, Sydney, NSW, Australia", 
              "id": "http://www.grid.ac/institutes/grid.413252.3", 
              "name": [
                "Centre for Infectious Diseases and Microbiology Laboratory Services, ICPMR, New South Wales Health Pathology, Westmead Hospital, Darcy Rd, 3rd Level, ICPMR Building, Westmead, 2145, Sydney, New South Wales, Australia", 
                "Marie Bashir Institute for Infectious Diseases and Biosecurity, The University of Sydney, Sydney, NSW, Australia", 
                "Department of Infectious Diseases, Westmead Hospital, Westmead, Sydney, NSW, Australia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Chen", 
            "givenName": "S. C-A.", 
            "id": "sg:person.013276617474.22", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013276617474.22"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Microbiology and Infectious Diseases, St. Vincent\u2019s Hospital, Sydney, NSW, Australia", 
              "id": "http://www.grid.ac/institutes/grid.437825.f", 
              "name": [
                "Department of Microbiology and Infectious Diseases, St. Vincent\u2019s Hospital, Sydney, NSW, Australia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Marriott", 
            "givenName": "D.", 
            "id": "sg:person.0646265261.18", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0646265261.18"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "School of Mathematics and Statistics, University of NSW, Sydney, NSW, Australia", 
              "id": "http://www.grid.ac/institutes/grid.1005.4", 
              "name": [
                "Eastern Health Clinical School, Monash University, Melbourne, Victoria, Australia", 
                "School of Mathematics and Statistics, University of NSW, Sydney, NSW, Australia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Pope", 
            "givenName": "A.", 
            "id": "sg:person.014166510115.76", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014166510115.76"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Westmead Institute for Medical Research, Westmead, NSW, Australia", 
              "id": "http://www.grid.ac/institutes/grid.452919.2", 
              "name": [
                "Westmead Institute for Medical Research, Westmead, NSW, Australia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Chapman", 
            "givenName": "B.", 
            "id": "sg:person.015405514105.94", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015405514105.94"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Infectious Diseases and Microbiology, Canberra Hospital, Australian National University Medical School, Canberra, ACT, Australia", 
              "id": "http://www.grid.ac/institutes/grid.413314.0", 
              "name": [
                "Department of Infectious Diseases and Microbiology, Canberra Hospital, Australian National University Medical School, Canberra, ACT, Australia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kennedy", 
            "givenName": "K.", 
            "id": "sg:person.01063177241.23", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01063177241.23"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Infectious Diseases, Royal Adelaide Hospital, Adelaide, SA, Australia", 
              "id": "http://www.grid.ac/institutes/grid.416075.1", 
              "name": [
                "Department of Infectious Diseases, Royal Adelaide Hospital, Adelaide, SA, Australia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Bak", 
            "givenName": "N.", 
            "id": "sg:person.01200165204.05", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01200165204.05"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Infection Management Services, Princess Alexandra Hospital, Brisbane, QLD, Australia", 
              "id": "http://www.grid.ac/institutes/grid.412744.0", 
              "name": [
                "Infection Management Services, Princess Alexandra Hospital, Brisbane, QLD, Australia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Underwood", 
            "givenName": "N.", 
            "id": "sg:person.016532356357.17", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016532356357.17"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Infectious Diseases and Microbiology, Canberra Hospital, Australian National University Medical School, Canberra, ACT, Australia", 
              "id": "http://www.grid.ac/institutes/grid.413314.0", 
              "name": [
                "Department of Infectious Diseases and Microbiology, Canberra Hospital, Australian National University Medical School, Canberra, ACT, Australia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Wilson", 
            "givenName": "H. L.", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Microbiology and Infectious Diseases, St. Vincent\u2019s Hospital, Sydney, NSW, Australia", 
              "id": "http://www.grid.ac/institutes/grid.437825.f", 
              "name": [
                "Department of Microbiology and Infectious Diseases, St. Vincent\u2019s Hospital, Sydney, NSW, Australia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "McDonald", 
            "givenName": "K.", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Intensive Care, Royal Melbourne Hospital, Melbourne, VIC, Australia", 
              "id": "http://www.grid.ac/institutes/grid.416153.4", 
              "name": [
                "Department of Intensive Care, Royal Melbourne Hospital, Melbourne, VIC, Australia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Darvall", 
            "givenName": "J.", 
            "id": "sg:person.01366640150.31", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01366640150.31"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Centre for Infectious Diseases and Microbiology Laboratory Services, ICPMR, New South Wales Health Pathology, Westmead Hospital, Darcy Rd, 3rd Level, ICPMR Building, Westmead, 2145, Sydney, New South Wales, Australia", 
              "id": "http://www.grid.ac/institutes/grid.413252.3", 
              "name": [
                "Centre for Infectious Diseases and Microbiology Laboratory Services, ICPMR, New South Wales Health Pathology, Westmead Hospital, Darcy Rd, 3rd Level, ICPMR Building, Westmead, 2145, Sydney, New South Wales, Australia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Halliday", 
            "givenName": "C.", 
            "id": "sg:person.0607163656.16", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0607163656.16"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "National Mycology Reference Centre, SA Pathology, Adelaide, SA, Australia", 
              "id": "http://www.grid.ac/institutes/grid.414733.6", 
              "name": [
                "National Mycology Reference Centre, SA Pathology, Adelaide, SA, Australia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kidd", 
            "givenName": "S.", 
            "id": "sg:person.01272750017.83", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01272750017.83"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "National Centre for Clinical Excellence on Emerging Drugs of Concern (NCCRED), National Drug and Alcohol Research Centre (NDARC), University of New South Wales, Sydney, Australia", 
              "id": "http://www.grid.ac/institutes/grid.1005.4", 
              "name": [
                "National Centre for Clinical Excellence on Emerging Drugs of Concern (NCCRED), National Drug and Alcohol Research Centre (NDARC), University of New South Wales, Sydney, Australia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Nguyen", 
            "givenName": "Q.", 
            "id": "sg:person.0645775621.01", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0645775621.01"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Infectious Diseases, Royal Brisbane and Women\u2019s Hospital, School of Medicine, University of Queensland, Brisbane, QLD, Australia", 
              "id": "http://www.grid.ac/institutes/grid.416100.2", 
              "name": [
                "Department of Infectious Diseases, Royal Brisbane and Women\u2019s Hospital, School of Medicine, University of Queensland, Brisbane, QLD, Australia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Hajkowicz", 
            "givenName": "K.", 
            "id": "sg:person.0663572317.30", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0663572317.30"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Westmead Institute for Medical Research, Westmead, NSW, Australia", 
              "id": "http://www.grid.ac/institutes/grid.452919.2", 
              "name": [
                "Marie Bashir Institute for Infectious Diseases and Biosecurity, The University of Sydney, Sydney, NSW, Australia", 
                "Department of Infectious Diseases, Westmead Hospital, Westmead, Sydney, NSW, Australia", 
                "Westmead Institute for Medical Research, Westmead, NSW, Australia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Sorrell", 
            "givenName": "T. C.", 
            "id": "sg:person.01003151017.13", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01003151017.13"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Infectious Diseases and Microbiology, New South Wales Health Pathology, Royal Prince Alfred Hospital, Sydney, NSW, Australia", 
              "id": "http://www.grid.ac/institutes/grid.413249.9", 
              "name": [
                "Department of Infectious Diseases and Microbiology, New South Wales Health Pathology, Royal Prince Alfred Hospital, Sydney, NSW, Australia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Van Hal", 
            "givenName": "S.", 
            "id": "sg:person.0612037676.80", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0612037676.80"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Infectious Diseases, Peter MacCallum Cancer Centre, National Centre for Infections in Cancer, Melbourne, VIC, Australia", 
              "id": "http://www.grid.ac/institutes/grid.1055.1", 
              "name": [
                "Department of Infectious Diseases, Peter MacCallum Cancer Centre, National Centre for Infections in Cancer, Melbourne, VIC, Australia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Slavin", 
            "givenName": "M. A.", 
            "id": "sg:person.01267022131.60", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01267022131.60"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1186/cc7964", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020678115", 
              "https://doi.org/10.1186/cc7964"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11046-017-0146-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1085451866", 
              "https://doi.org/10.1007/s11046-017-0146-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12879-017-2636-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1090954151", 
              "https://doi.org/10.1186/s12879-017-2636-x"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2019-05-21", 
        "datePublishedReg": "2019-05-21", 
        "description": "BackgroundCandidaemia is associated with high mortality. Variables associated with mortality have been published previously, but not developed into a risk predictive model for mortality. We sought to describe the current epidemiology of candidaemia in Australia, analyse predictors of 30-day all-cause mortality, and develop and validate a mortality risk predictive model.MethodsAdults with candidaemia were studied prospectively over 12\u2009months at eight institutions. Clinical and laboratory variables at time of blood culture-positivity were subject to multivariate analysis for association with 30-day all-cause mortality. A predictive score for mortality was examined by area under receiver operator characteristic curves and a historical data set was used for validation.ResultsThe median age of 133 patients with candidaemia was 62\u2009years; 76 (57%) were male and 57 (43%) were female. Co-morbidities included underlying haematologic malignancy (n\u2009=\u200920; 15%), and solid organ malignancy in (n\u2009=\u200925; 19%); 55 (41%) were in an intensive care unit (ICU). Non-albicans Candida spp. accounted for 61% of cases (81/133). All-cause 30-day mortality was 31%. A gastrointestinal or unknown source was associated with higher overall mortality than an intravascular or urologic source (p\u2009<\u20090.01). A risk predictive score based on age\u2009>\u200965\u2009years, ICU admission, chronic organ dysfunction, preceding surgery within 30\u2009days, haematological malignancy, source of candidaemia and antibiotic therapy for \u226510\u2009days stratified patients into <\u200920% or\u2009\u2265\u200920% predicted mortality. The model retained accuracy when validated against a historical dataset (n\u2009=\u2009741).ConclusionsMortality in patients with candidaemia remains high. A simple mortality risk predictive score stratifying patients with candidaemia into <\u200920% and\u2009\u2265\u200920% 30-day mortality is presented. This model uses information available at time of candidaemia diagnosis is easy to incorporate into decision support systems. Further validation of this model is warranted.", 
        "genre": "article", 
        "id": "sg:pub.10.1186/s12879-019-4065-5", 
        "isAccessibleForFree": true, 
        "isPartOf": [
          {
            "id": "sg:journal.1024946", 
            "issn": [
              "1471-2334"
            ], 
            "name": "BMC Infectious Diseases", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "19"
          }
        ], 
        "keywords": [
          "risk predictive model", 
          "risk predictive score", 
          "intensive care unit", 
          "predictive score", 
          "cause mortality", 
          "overall mortality", 
          "chronic organ dysfunction", 
          "prospective multicentre study", 
          "solid organ malignancies", 
          "albicans Candida spp", 
          "higher overall mortality", 
          "receiver operator characteristic curve", 
          "time of blood", 
          "operator characteristic curve", 
          "ICU admission", 
          "organ malignancies", 
          "median age", 
          "organ dysfunction", 
          "antibiotic therapy", 
          "laboratory variables", 
          "care unit", 
          "multicentre study", 
          "current epidemiology", 
          "haematologic malignancies", 
          "haematological malignancies", 
          "analyse predictors", 
          "candidaemia", 
          "high mortality", 
          "multivariate analysis", 
          "patients", 
          "mortality", 
          "malignancy", 
          "Candida spp", 
          "characteristic curve", 
          "scores", 
          "further validation", 
          "age", 
          "days", 
          "predictive model", 
          "ConclusionsMortality", 
          "MethodsAdults", 
          "surgery", 
          "admission", 
          "dysfunction", 
          "therapy", 
          "years", 
          "epidemiology", 
          "diagnosis", 
          "blood", 
          "months", 
          "predictors", 
          "association", 
          "cases", 
          "variables", 
          "study", 
          "unknown source", 
          "time", 
          "validation", 
          "spp", 
          "support system", 
          "institutions", 
          "model", 
          "units", 
          "decision support system", 
          "curves", 
          "analysis", 
          "area", 
          "Australia", 
          "source", 
          "information", 
          "system", 
          "accuracy", 
          "data sets", 
          "dataset", 
          "set", 
          "historical data sets", 
          "historical dataset"
        ], 
        "name": "Candidaemia and a risk predictive model for overall mortality: a prospective multicentre study", 
        "pagination": "445", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1115023219"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1186/s12879-019-4065-5"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "31113382"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1186/s12879-019-4065-5", 
          "https://app.dimensions.ai/details/publication/pub.1115023219"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-11-24T21:05", 
        "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_816.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1186/s12879-019-4065-5"
      }
    ]
     

    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/s12879-019-4065-5'

    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/s12879-019-4065-5'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12879-019-4065-5'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12879-019-4065-5'


     

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

    375 TRIPLES      21 PREDICATES      122 URIs      111 LITERALS      24 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1186/s12879-019-4065-5 schema:about N0008989c8f0f41eca7c0f8daea7a22b2
    2 N10c6f898d0804c7b882a79a2b1e03469
    3 N1180c7d116c54296a2ac775c33e7cfe4
    4 N1afee53be0864cfd963dccb73908d7ca
    5 N1f8a67022c214ad1b18ba96ea6dc1e96
    6 N1fa7052c92e34d5eb8794e65c1b7e87c
    7 N2430c828f6104a2982bb5f99ae4b8613
    8 N38fea841490942ba9bf81862dcb8f3d5
    9 N4652667bdd5d4aa4b9c1990eb888c1bb
    10 N541b245fda0a4851b8104dd4ad7d4258
    11 N724ab9959de04d83be71b22f5fb5bc47
    12 N8117ba7314074b9ca716675f49c079bb
    13 Nb1bcacc58cfd49cb97701fdce300c861
    14 Nb9b2a7b3cead4468865a672826c92cdc
    15 Nc54c7b51985b459c9abfe9ea54caef2a
    16 Nee7834de87e1491cbc745d44ca0dc809
    17 Nf93bf99b4e464c529146405774ca25ad
    18 anzsrc-for:11
    19 anzsrc-for:1103
    20 schema:author Nc9d96184db8143c7ba453072f07ce478
    21 schema:citation sg:pub.10.1007/s11046-017-0146-4
    22 sg:pub.10.1186/cc7964
    23 sg:pub.10.1186/s12879-017-2636-x
    24 schema:datePublished 2019-05-21
    25 schema:datePublishedReg 2019-05-21
    26 schema:description BackgroundCandidaemia is associated with high mortality. Variables associated with mortality have been published previously, but not developed into a risk predictive model for mortality. We sought to describe the current epidemiology of candidaemia in Australia, analyse predictors of 30-day all-cause mortality, and develop and validate a mortality risk predictive model.MethodsAdults with candidaemia were studied prospectively over 12 months at eight institutions. Clinical and laboratory variables at time of blood culture-positivity were subject to multivariate analysis for association with 30-day all-cause mortality. A predictive score for mortality was examined by area under receiver operator characteristic curves and a historical data set was used for validation.ResultsThe median age of 133 patients with candidaemia was 62 years; 76 (57%) were male and 57 (43%) were female. Co-morbidities included underlying haematologic malignancy (n = 20; 15%), and solid organ malignancy in (n = 25; 19%); 55 (41%) were in an intensive care unit (ICU). Non-albicans Candida spp. accounted for 61% of cases (81/133). All-cause 30-day mortality was 31%. A gastrointestinal or unknown source was associated with higher overall mortality than an intravascular or urologic source (p < 0.01). A risk predictive score based on age > 65 years, ICU admission, chronic organ dysfunction, preceding surgery within 30 days, haematological malignancy, source of candidaemia and antibiotic therapy for ≥10 days stratified patients into < 20% or ≥ 20% predicted mortality. The model retained accuracy when validated against a historical dataset (n = 741).ConclusionsMortality in patients with candidaemia remains high. A simple mortality risk predictive score stratifying patients with candidaemia into < 20% and ≥ 20% 30-day mortality is presented. This model uses information available at time of candidaemia diagnosis is easy to incorporate into decision support systems. Further validation of this model is warranted.
    27 schema:genre article
    28 schema:isAccessibleForFree true
    29 schema:isPartOf N572f3b57c2a64595918f3ceca733d909
    30 Ndab0e5840a4b45ddacee3ac3f187bf64
    31 sg:journal.1024946
    32 schema:keywords Australia
    33 Candida spp
    34 ConclusionsMortality
    35 ICU admission
    36 MethodsAdults
    37 accuracy
    38 admission
    39 age
    40 albicans Candida spp
    41 analyse predictors
    42 analysis
    43 antibiotic therapy
    44 area
    45 association
    46 blood
    47 candidaemia
    48 care unit
    49 cases
    50 cause mortality
    51 characteristic curve
    52 chronic organ dysfunction
    53 current epidemiology
    54 curves
    55 data sets
    56 dataset
    57 days
    58 decision support system
    59 diagnosis
    60 dysfunction
    61 epidemiology
    62 further validation
    63 haematologic malignancies
    64 haematological malignancies
    65 high mortality
    66 higher overall mortality
    67 historical data sets
    68 historical dataset
    69 information
    70 institutions
    71 intensive care unit
    72 laboratory variables
    73 malignancy
    74 median age
    75 model
    76 months
    77 mortality
    78 multicentre study
    79 multivariate analysis
    80 operator characteristic curve
    81 organ dysfunction
    82 organ malignancies
    83 overall mortality
    84 patients
    85 predictive model
    86 predictive score
    87 predictors
    88 prospective multicentre study
    89 receiver operator characteristic curve
    90 risk predictive model
    91 risk predictive score
    92 scores
    93 set
    94 solid organ malignancies
    95 source
    96 spp
    97 study
    98 support system
    99 surgery
    100 system
    101 therapy
    102 time
    103 time of blood
    104 units
    105 unknown source
    106 validation
    107 variables
    108 years
    109 schema:name Candidaemia and a risk predictive model for overall mortality: a prospective multicentre study
    110 schema:pagination 445
    111 schema:productId N147b36f88cc143298fb867c67b6be5a1
    112 Na0a201cb2b954276aaa30d83d493ca7e
    113 Nbbf0ac3da79540baa54dc475e2869e68
    114 schema:sameAs https://app.dimensions.ai/details/publication/pub.1115023219
    115 https://doi.org/10.1186/s12879-019-4065-5
    116 schema:sdDatePublished 2022-11-24T21:05
    117 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    118 schema:sdPublisher Nff6dd2380a3142d2b635976ef1e786ea
    119 schema:url https://doi.org/10.1186/s12879-019-4065-5
    120 sgo:license sg:explorer/license/
    121 sgo:sdDataset articles
    122 rdf:type schema:ScholarlyArticle
    123 N0008989c8f0f41eca7c0f8daea7a22b2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    124 schema:name Predictive Value of Tests
    125 rdf:type schema:DefinedTerm
    126 N0755d7703885429ebbc8fc3eaa1b20c5 rdf:first N7971681ad71d4a0b87367d6c62c2de66
    127 rdf:rest Nf5ddf0affd82416ab5e8c7ed83927a3b
    128 N0a764df31f164bf1b48345356a596991 schema:affiliation grid-institutes:grid.437825.f
    129 schema:familyName McDonald
    130 schema:givenName K.
    131 rdf:type schema:Person
    132 N10c6f898d0804c7b882a79a2b1e03469 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    133 schema:name Female
    134 rdf:type schema:DefinedTerm
    135 N1180c7d116c54296a2ac775c33e7cfe4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    136 schema:name Aged
    137 rdf:type schema:DefinedTerm
    138 N147b36f88cc143298fb867c67b6be5a1 schema:name pubmed_id
    139 schema:value 31113382
    140 rdf:type schema:PropertyValue
    141 N1785d72b25b6403ab7f43e6852f4dbd1 rdf:first sg:person.014166510115.76
    142 rdf:rest N347110b698014c7ca4d4e755032f12de
    143 N1afee53be0864cfd963dccb73908d7ca schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    144 schema:name Intensive Care Units
    145 rdf:type schema:DefinedTerm
    146 N1f8a67022c214ad1b18ba96ea6dc1e96 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    147 schema:name Candidemia
    148 rdf:type schema:DefinedTerm
    149 N1fa7052c92e34d5eb8794e65c1b7e87c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    150 schema:name Middle Aged
    151 rdf:type schema:DefinedTerm
    152 N2430c828f6104a2982bb5f99ae4b8613 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    153 schema:name Male
    154 rdf:type schema:DefinedTerm
    155 N347110b698014c7ca4d4e755032f12de rdf:first sg:person.015405514105.94
    156 rdf:rest N4472935addf5446faa365ee31a36e636
    157 N37693e838d2b47c6a1ff9f21560c690c rdf:first sg:person.01267022131.60
    158 rdf:rest rdf:nil
    159 N38fea841490942ba9bf81862dcb8f3d5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    160 schema:name Antifungal Agents
    161 rdf:type schema:DefinedTerm
    162 N4472935addf5446faa365ee31a36e636 rdf:first sg:person.01063177241.23
    163 rdf:rest Na96883beadc8411da8c8c6b235c30988
    164 N4652667bdd5d4aa4b9c1990eb888c1bb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    165 schema:name Australia
    166 rdf:type schema:DefinedTerm
    167 N541b245fda0a4851b8104dd4ad7d4258 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    168 schema:name Prospective Studies
    169 rdf:type schema:DefinedTerm
    170 N572f3b57c2a64595918f3ceca733d909 schema:issueNumber 1
    171 rdf:type schema:PublicationIssue
    172 N5a939ad9d3e940c79ca78edffecbb696 rdf:first sg:person.01003151017.13
    173 rdf:rest N98614b6f67534e3692f97b789b7e1ee4
    174 N6249cfd4214941cfbdb712a034f3ef06 rdf:first sg:person.0646265261.18
    175 rdf:rest N1785d72b25b6403ab7f43e6852f4dbd1
    176 N70ae3be018334c639bf38b26c64ae246 rdf:first sg:person.0663572317.30
    177 rdf:rest N5a939ad9d3e940c79ca78edffecbb696
    178 N724ab9959de04d83be71b22f5fb5bc47 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    179 schema:name Multivariate Analysis
    180 rdf:type schema:DefinedTerm
    181 N76858fab1b4348a5875a9fc2f66cd11f rdf:first sg:person.0645775621.01
    182 rdf:rest N70ae3be018334c639bf38b26c64ae246
    183 N7971681ad71d4a0b87367d6c62c2de66 schema:affiliation grid-institutes:grid.413314.0
    184 schema:familyName Wilson
    185 schema:givenName H. L.
    186 rdf:type schema:Person
    187 N7f965414c6f042c7b020dfab13d7b0f3 rdf:first sg:person.01272750017.83
    188 rdf:rest N76858fab1b4348a5875a9fc2f66cd11f
    189 N8117ba7314074b9ca716675f49c079bb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    190 schema:name Hospitalization
    191 rdf:type schema:DefinedTerm
    192 N838ad47517d74108a4d7cf185ae6d10f rdf:first sg:person.016532356357.17
    193 rdf:rest N0755d7703885429ebbc8fc3eaa1b20c5
    194 N98614b6f67534e3692f97b789b7e1ee4 rdf:first sg:person.0612037676.80
    195 rdf:rest N37693e838d2b47c6a1ff9f21560c690c
    196 N9b1001e797b145c48a2b362b41b2cb1d rdf:first sg:person.01366640150.31
    197 rdf:rest Na349d00ed63c4292a1e43c56976555b9
    198 Na0a201cb2b954276aaa30d83d493ca7e schema:name dimensions_id
    199 schema:value pub.1115023219
    200 rdf:type schema:PropertyValue
    201 Na349d00ed63c4292a1e43c56976555b9 rdf:first sg:person.0607163656.16
    202 rdf:rest N7f965414c6f042c7b020dfab13d7b0f3
    203 Na96883beadc8411da8c8c6b235c30988 rdf:first sg:person.01200165204.05
    204 rdf:rest N838ad47517d74108a4d7cf185ae6d10f
    205 Nb1bcacc58cfd49cb97701fdce300c861 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    206 schema:name Risk Factors
    207 rdf:type schema:DefinedTerm
    208 Nb9b2a7b3cead4468865a672826c92cdc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    209 schema:name Candida
    210 rdf:type schema:DefinedTerm
    211 Nbbf0ac3da79540baa54dc475e2869e68 schema:name doi
    212 schema:value 10.1186/s12879-019-4065-5
    213 rdf:type schema:PropertyValue
    214 Nbe29c3dac4514b67aab47a4efc3bb4b0 rdf:first sg:person.013276617474.22
    215 rdf:rest N6249cfd4214941cfbdb712a034f3ef06
    216 Nc54c7b51985b459c9abfe9ea54caef2a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    217 schema:name Hematologic Neoplasms
    218 rdf:type schema:DefinedTerm
    219 Nc9d96184db8143c7ba453072f07ce478 rdf:first sg:person.010032712665.59
    220 rdf:rest Nbe29c3dac4514b67aab47a4efc3bb4b0
    221 Ndab0e5840a4b45ddacee3ac3f187bf64 schema:volumeNumber 19
    222 rdf:type schema:PublicationVolume
    223 Nee7834de87e1491cbc745d44ca0dc809 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    224 schema:name ROC Curve
    225 rdf:type schema:DefinedTerm
    226 Nf5ddf0affd82416ab5e8c7ed83927a3b rdf:first N0a764df31f164bf1b48345356a596991
    227 rdf:rest N9b1001e797b145c48a2b362b41b2cb1d
    228 Nf93bf99b4e464c529146405774ca25ad schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    229 schema:name Humans
    230 rdf:type schema:DefinedTerm
    231 Nff6dd2380a3142d2b635976ef1e786ea schema:name Springer Nature - SN SciGraph project
    232 rdf:type schema:Organization
    233 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
    234 schema:name Medical and Health Sciences
    235 rdf:type schema:DefinedTerm
    236 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
    237 schema:name Clinical Sciences
    238 rdf:type schema:DefinedTerm
    239 sg:journal.1024946 schema:issn 1471-2334
    240 schema:name BMC Infectious Diseases
    241 schema:publisher Springer Nature
    242 rdf:type schema:Periodical
    243 sg:person.01003151017.13 schema:affiliation grid-institutes:grid.452919.2
    244 schema:familyName Sorrell
    245 schema:givenName T. C.
    246 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01003151017.13
    247 rdf:type schema:Person
    248 sg:person.010032712665.59 schema:affiliation grid-institutes:grid.413252.3
    249 schema:familyName Keighley
    250 schema:givenName C.
    251 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010032712665.59
    252 rdf:type schema:Person
    253 sg:person.01063177241.23 schema:affiliation grid-institutes:grid.413314.0
    254 schema:familyName Kennedy
    255 schema:givenName K.
    256 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01063177241.23
    257 rdf:type schema:Person
    258 sg:person.01200165204.05 schema:affiliation grid-institutes:grid.416075.1
    259 schema:familyName Bak
    260 schema:givenName N.
    261 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01200165204.05
    262 rdf:type schema:Person
    263 sg:person.01267022131.60 schema:affiliation grid-institutes:grid.1055.1
    264 schema:familyName Slavin
    265 schema:givenName M. A.
    266 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01267022131.60
    267 rdf:type schema:Person
    268 sg:person.01272750017.83 schema:affiliation grid-institutes:grid.414733.6
    269 schema:familyName Kidd
    270 schema:givenName S.
    271 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01272750017.83
    272 rdf:type schema:Person
    273 sg:person.013276617474.22 schema:affiliation grid-institutes:grid.413252.3
    274 schema:familyName Chen
    275 schema:givenName S. C-A.
    276 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013276617474.22
    277 rdf:type schema:Person
    278 sg:person.01366640150.31 schema:affiliation grid-institutes:grid.416153.4
    279 schema:familyName Darvall
    280 schema:givenName J.
    281 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01366640150.31
    282 rdf:type schema:Person
    283 sg:person.014166510115.76 schema:affiliation grid-institutes:grid.1005.4
    284 schema:familyName Pope
    285 schema:givenName A.
    286 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014166510115.76
    287 rdf:type schema:Person
    288 sg:person.015405514105.94 schema:affiliation grid-institutes:grid.452919.2
    289 schema:familyName Chapman
    290 schema:givenName B.
    291 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015405514105.94
    292 rdf:type schema:Person
    293 sg:person.016532356357.17 schema:affiliation grid-institutes:grid.412744.0
    294 schema:familyName Underwood
    295 schema:givenName N.
    296 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016532356357.17
    297 rdf:type schema:Person
    298 sg:person.0607163656.16 schema:affiliation grid-institutes:grid.413252.3
    299 schema:familyName Halliday
    300 schema:givenName C.
    301 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0607163656.16
    302 rdf:type schema:Person
    303 sg:person.0612037676.80 schema:affiliation grid-institutes:grid.413249.9
    304 schema:familyName Van Hal
    305 schema:givenName S.
    306 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0612037676.80
    307 rdf:type schema:Person
    308 sg:person.0645775621.01 schema:affiliation grid-institutes:grid.1005.4
    309 schema:familyName Nguyen
    310 schema:givenName Q.
    311 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0645775621.01
    312 rdf:type schema:Person
    313 sg:person.0646265261.18 schema:affiliation grid-institutes:grid.437825.f
    314 schema:familyName Marriott
    315 schema:givenName D.
    316 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0646265261.18
    317 rdf:type schema:Person
    318 sg:person.0663572317.30 schema:affiliation grid-institutes:grid.416100.2
    319 schema:familyName Hajkowicz
    320 schema:givenName K.
    321 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0663572317.30
    322 rdf:type schema:Person
    323 sg:pub.10.1007/s11046-017-0146-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085451866
    324 https://doi.org/10.1007/s11046-017-0146-4
    325 rdf:type schema:CreativeWork
    326 sg:pub.10.1186/cc7964 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020678115
    327 https://doi.org/10.1186/cc7964
    328 rdf:type schema:CreativeWork
    329 sg:pub.10.1186/s12879-017-2636-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1090954151
    330 https://doi.org/10.1186/s12879-017-2636-x
    331 rdf:type schema:CreativeWork
    332 grid-institutes:grid.1005.4 schema:alternateName National Centre for Clinical Excellence on Emerging Drugs of Concern (NCCRED), National Drug and Alcohol Research Centre (NDARC), University of New South Wales, Sydney, Australia
    333 School of Mathematics and Statistics, University of NSW, Sydney, NSW, Australia
    334 schema:name Eastern Health Clinical School, Monash University, Melbourne, Victoria, Australia
    335 National Centre for Clinical Excellence on Emerging Drugs of Concern (NCCRED), National Drug and Alcohol Research Centre (NDARC), University of New South Wales, Sydney, Australia
    336 School of Mathematics and Statistics, University of NSW, Sydney, NSW, Australia
    337 rdf:type schema:Organization
    338 grid-institutes:grid.1055.1 schema:alternateName Department of Infectious Diseases, Peter MacCallum Cancer Centre, National Centre for Infections in Cancer, Melbourne, VIC, Australia
    339 schema:name Department of Infectious Diseases, Peter MacCallum Cancer Centre, National Centre for Infections in Cancer, Melbourne, VIC, Australia
    340 rdf:type schema:Organization
    341 grid-institutes:grid.412744.0 schema:alternateName Infection Management Services, Princess Alexandra Hospital, Brisbane, QLD, Australia
    342 schema:name Infection Management Services, Princess Alexandra Hospital, Brisbane, QLD, Australia
    343 rdf:type schema:Organization
    344 grid-institutes:grid.413249.9 schema:alternateName Department of Infectious Diseases and Microbiology, New South Wales Health Pathology, Royal Prince Alfred Hospital, Sydney, NSW, Australia
    345 schema:name Department of Infectious Diseases and Microbiology, New South Wales Health Pathology, Royal Prince Alfred Hospital, Sydney, NSW, Australia
    346 rdf:type schema:Organization
    347 grid-institutes:grid.413252.3 schema:alternateName Centre for Infectious Diseases and Microbiology Laboratory Services, ICPMR, New South Wales Health Pathology, Westmead Hospital, Darcy Rd, 3rd Level, ICPMR Building, Westmead, 2145, Sydney, New South Wales, Australia
    348 Department of Infectious Diseases, Westmead Hospital, Westmead, Sydney, NSW, Australia
    349 schema:name Centre for Infectious Diseases and Microbiology Laboratory Services, ICPMR, New South Wales Health Pathology, Westmead Hospital, Darcy Rd, 3rd Level, ICPMR Building, Westmead, 2145, Sydney, New South Wales, Australia
    350 Department of Infectious Diseases, Westmead Hospital, Westmead, Sydney, NSW, Australia
    351 Marie Bashir Institute for Infectious Diseases and Biosecurity, The University of Sydney, Sydney, NSW, Australia
    352 rdf:type schema:Organization
    353 grid-institutes:grid.413314.0 schema:alternateName Department of Infectious Diseases and Microbiology, Canberra Hospital, Australian National University Medical School, Canberra, ACT, Australia
    354 schema:name Department of Infectious Diseases and Microbiology, Canberra Hospital, Australian National University Medical School, Canberra, ACT, Australia
    355 rdf:type schema:Organization
    356 grid-institutes:grid.414733.6 schema:alternateName National Mycology Reference Centre, SA Pathology, Adelaide, SA, Australia
    357 schema:name National Mycology Reference Centre, SA Pathology, Adelaide, SA, Australia
    358 rdf:type schema:Organization
    359 grid-institutes:grid.416075.1 schema:alternateName Department of Infectious Diseases, Royal Adelaide Hospital, Adelaide, SA, Australia
    360 schema:name Department of Infectious Diseases, Royal Adelaide Hospital, Adelaide, SA, Australia
    361 rdf:type schema:Organization
    362 grid-institutes:grid.416100.2 schema:alternateName Department of Infectious Diseases, Royal Brisbane and Women’s Hospital, School of Medicine, University of Queensland, Brisbane, QLD, Australia
    363 schema:name Department of Infectious Diseases, Royal Brisbane and Women’s Hospital, School of Medicine, University of Queensland, Brisbane, QLD, Australia
    364 rdf:type schema:Organization
    365 grid-institutes:grid.416153.4 schema:alternateName Department of Intensive Care, Royal Melbourne Hospital, Melbourne, VIC, Australia
    366 schema:name Department of Intensive Care, Royal Melbourne Hospital, Melbourne, VIC, Australia
    367 rdf:type schema:Organization
    368 grid-institutes:grid.437825.f schema:alternateName Department of Microbiology and Infectious Diseases, St. Vincent’s Hospital, Sydney, NSW, Australia
    369 schema:name Department of Microbiology and Infectious Diseases, St. Vincent’s Hospital, Sydney, NSW, Australia
    370 rdf:type schema:Organization
    371 grid-institutes:grid.452919.2 schema:alternateName Westmead Institute for Medical Research, Westmead, NSW, Australia
    372 schema:name Department of Infectious Diseases, Westmead Hospital, Westmead, Sydney, NSW, Australia
    373 Marie Bashir Institute for Infectious Diseases and Biosecurity, The University of Sydney, Sydney, NSW, Australia
    374 Westmead Institute for Medical Research, Westmead, NSW, Australia
    375 rdf:type schema:Organization
     




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


    ...