The effect of age and clinical circumstances on the outcome of red blood cell transfusion in critically ill patients View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2014-08

AUTHORS

Andre Dejam, Brian E Malley, Mengling Feng, Federico Cismondi, Shinhyuk Park, Saira Samani, Zahra Aziz Samani, Duane S Pinto, Leo Anthony Celi

ABSTRACT

INTRODUCTION: Whether red blood cell (RBC) transfusion is beneficial remains controversial. In both retrospective and prospective evaluations, transfusion has been associated with adverse, neutral, or protective effects. These varying results likely stem from a complex interplay between transfusion, patient characteristics, and clinical context. The objective was to test whether age, comorbidities, and clinical context modulate the effect of transfusion on survival. METHODS: By using the multiparameter intelligent monitoring in intensive care II database (v. 2.6), a retrospective analysis of 9,809 critically ill patients, we evaluated the effect of RBC transfusion on 30-day and 1-year mortality. Propensity score modeling and logistic regression adjusted for known confounding and assessed the independent effect of transfusion on 30-day and 1-year mortality. Sensitivity analysis was performed by using 3,164 transfused and non-transfused pairs, matched according the previously validated propensity model for RBC transfusion. RESULTS: RBC transfusion did not affect 30-day or 1-year mortality in the overall cohort. Patients younger than 55 years had increased odds of mortality (OR, 1.71; P < 0.01) with transfusion. Patients older than 75 years had lower odds of 30-day and 1-year mortality (OR, 0.70; P < 0.01) with transfusion. Transfusion was associated with worse outcome among patients undergoing cardiac surgery (OR, 2.1; P < 0.01). The propensity-matched population corroborated findings identified by regression adjustment. CONCLUSION: A complex relation exists between RBC transfusion and clinical outcome. Our results show that transfusion is associated with improved outcomes in some cohorts and worse outcome in others, depending on comorbidities and patient characteristics. As such, future investigations and clinical decisions evaluating the value of transfusion should account for variations in baseline characteristics and clinical context. More... »

PAGES

487

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s13054-014-0487-z

DOI

http://dx.doi.org/10.1186/s13054-014-0487-z

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1018558316

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/25175389


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/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Age Factors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Anemia", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Critical Care", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Erythrocyte Transfusion", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Hospital Mortality", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Propensity Score", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Regression Analysis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Retrospective Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Risk Factors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Treatment Outcome", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Beth Israel Deaconess Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.239395.7", 
          "name": [
            "Beth Israel Deaconess Medical Center, 02215, Boston, MA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dejam", 
        "givenName": "Andre", 
        "id": "sg:person.01027542104.60", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01027542104.60"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Oakland University", 
          "id": "https://www.grid.ac/institutes/grid.261277.7", 
          "name": [
            "Harvard-MIT Division of Health Sciences & Technology, 02139, Cambridge, MA, USA", 
            "Oakland University William Beaumont School of Medicine, 48309, Rochester, MI, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Malley", 
        "givenName": "Brian E", 
        "id": "sg:person.01142664640.12", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01142664640.12"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute for Infocomm Research", 
          "id": "https://www.grid.ac/institutes/grid.418705.f", 
          "name": [
            "Harvard-MIT Division of Health Sciences & Technology, 02139, Cambridge, MA, USA", 
            "Institute for Infocomm Research, 138632, Singapore, Singapore"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Feng", 
        "givenName": "Mengling", 
        "id": "sg:person.01353465375.69", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01353465375.69"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Harvard\u2013MIT Division of Health Sciences and Technology", 
          "id": "https://www.grid.ac/institutes/grid.413735.7", 
          "name": [
            "Harvard-MIT Division of Health Sciences & Technology, 02139, Cambridge, MA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cismondi", 
        "givenName": "Federico", 
        "id": "sg:person.0655552706.23", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0655552706.23"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Harvard\u2013MIT Division of Health Sciences and Technology", 
          "id": "https://www.grid.ac/institutes/grid.413735.7", 
          "name": [
            "Harvard-MIT Division of Health Sciences & Technology, 02139, Cambridge, MA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Park", 
        "givenName": "Shinhyuk", 
        "id": "sg:person.0642061325.96", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0642061325.96"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Mount Auburn Hospital", 
          "id": "https://www.grid.ac/institutes/grid.416843.c", 
          "name": [
            "Mount Auburn Hospital, 02138, Cambridge, MA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Samani", 
        "givenName": "Saira", 
        "id": "sg:person.01316676655.33", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01316676655.33"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Aga Khan University", 
          "id": "https://www.grid.ac/institutes/grid.7147.5", 
          "name": [
            "Aga Khan University Medical College, 74800, Karachi, Pakistan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Samani", 
        "givenName": "Zahra Aziz", 
        "id": "sg:person.01365426605.18", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01365426605.18"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Beth Israel Deaconess Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.239395.7", 
          "name": [
            "Beth Israel Deaconess Medical Center, 02215, Boston, MA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pinto", 
        "givenName": "Duane S", 
        "id": "sg:person.01212624344.39", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01212624344.39"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Harvard\u2013MIT Division of Health Sciences and Technology", 
          "id": "https://www.grid.ac/institutes/grid.413735.7", 
          "name": [
            "Beth Israel Deaconess Medical Center, 02215, Boston, MA, USA", 
            "Harvard-MIT Division of Health Sciences & Technology, 02139, Cambridge, MA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Celi", 
        "givenName": "Leo Anthony", 
        "id": "sg:person.01144416340.69", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01144416340.69"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1097/00003246-200210000-00012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000992580"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00003246-200210000-00012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000992580"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/2110-5820-1-43", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003110846", 
          "https://doi.org/10.1186/2110-5820-1-43"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.288.12.1499", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004916632"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa1211801", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008600953"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/ccm.0b013e3181a5c1f1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016269321"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/ccm.0b013e3181a5c1f1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016269321"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ahj.2008.01.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016745108"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/circulationaha.110.008698", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016967713"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/2110-5820-3-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017576583", 
          "https://doi.org/10.1186/2110-5820-3-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.ccm.0000194725.48928.3a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018019008"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.ccm.0000194725.48928.3a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018019008"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.ccm.0000104112.34142.79", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019384099"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.ccm.0000104112.34142.79", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019384099"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1537-2995.2008.01657.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024772421"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa010615", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028202131"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.cir.0000162477.70955.5f", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030381861"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.ccm.0000217472.97524.0e", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033807744"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.ccm.0000217472.97524.0e", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033807744"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/ccm.0b013e318169251f", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034875067"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/ccm.0b013e318169251f", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034875067"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.0708160104", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035066550"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/moh.0b013e32833157f4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038399825"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/moh.0b013e32833157f4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038399825"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/moh.0b013e32833157f4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038399825"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ccc.2003.12.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038420652"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa070403", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042037618"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejm199902113400601", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044018868"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.292.13.1555", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045299726"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.2010.1446", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046887971"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/cc9026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051374782", 
          "https://doi.org/10.1186/cc9026"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/cc9026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051374782", 
          "https://doi.org/10.1186/cc9026"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.289.15.1941", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052059807"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.anes.0000296070.75956.40", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052957302"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.anes.0000296070.75956.40", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052957302"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jacc.2005.06.072", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053464631"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.ta.0000171459.21450.dc", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060322702"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.ta.0000171459.21450.dc", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060322702"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.ta.0000171459.21450.dc", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060322702"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.ta.0000171459.21450.dc", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060322702"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/iembs.2011.6092050", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1078504289"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2014-08", 
    "datePublishedReg": "2014-08-01", 
    "description": "INTRODUCTION: Whether red blood cell (RBC) transfusion is beneficial remains controversial. In both retrospective and prospective evaluations, transfusion has been associated with adverse, neutral, or protective effects. These varying results likely stem from a complex interplay between transfusion, patient characteristics, and clinical context. The objective was to test whether age, comorbidities, and clinical context modulate the effect of transfusion on survival.\nMETHODS: By using the multiparameter intelligent monitoring in intensive care II database (v. 2.6), a retrospective analysis of 9,809 critically ill patients, we evaluated the effect of RBC transfusion on 30-day and 1-year mortality. Propensity score modeling and logistic regression adjusted for known confounding and assessed the independent effect of transfusion on 30-day and 1-year mortality. Sensitivity analysis was performed by using 3,164 transfused and non-transfused pairs, matched according the previously validated propensity model for RBC transfusion.\nRESULTS: RBC transfusion did not affect 30-day or 1-year mortality in the overall cohort. Patients younger than 55 years had increased odds of mortality (OR, 1.71; P < 0.01) with transfusion. Patients older than 75 years had lower odds of 30-day and 1-year mortality (OR, 0.70; P < 0.01) with transfusion. Transfusion was associated with worse outcome among patients undergoing cardiac surgery (OR, 2.1; P < 0.01). The propensity-matched population corroborated findings identified by regression adjustment.\nCONCLUSION: A complex relation exists between RBC transfusion and clinical outcome. Our results show that transfusion is associated with improved outcomes in some cohorts and worse outcome in others, depending on comorbidities and patient characteristics. As such, future investigations and clinical decisions evaluating the value of transfusion should account for variations in baseline characteristics and clinical context.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s13054-014-0487-z", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2419863", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2501251", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1117766", 
        "issn": [
          "1364-8535", 
          "1466-609X"
        ], 
        "name": "Critical Care", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "18"
      }
    ], 
    "name": "The effect of age and clinical circumstances on the outcome of red blood cell transfusion in critically ill patients", 
    "pagination": "487", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "586c40842cfa6b5ab19f33d51be8698aaaf1fddb4e4337c3d4f4c1a5e8b80f3c"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "25175389"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9801902"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s13054-014-0487-z"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1018558316"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s13054-014-0487-z", 
      "https://app.dimensions.ai/details/publication/pub.1018558316"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T13:09", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000367_0000000367/records_88242_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1186%2Fs13054-014-0487-z"
  }
]
 

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/s13054-014-0487-z'

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/s13054-014-0487-z'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s13054-014-0487-z'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s13054-014-0487-z'


 

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

290 TRIPLES      21 PREDICATES      71 URIs      35 LITERALS      23 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s13054-014-0487-z schema:about N074f47e304a74662b958497efbec7ea5
2 N358b3d43fb5048c69fb3eaa7a322c366
3 N37fd201c7388499fa474b1302f80798b
4 N38a27bd28d0643e38aef399f2968b2f4
5 N4991384d0c1c406b9451fea66f8aa751
6 N6b53cdb941374baa843f57026c16783e
7 N8945ccf6fb91400bac3fe0bb3e161fa1
8 N9a94cb12cfb445e1a199a0114463eb2b
9 Nb9cf447c522c40849b47df0d896e8873
10 Ncfc699d18b934e2e9ed55b093a3f6867
11 Ndae0bc0effe546f29842c834b2d6f16c
12 Ne854c2bedd8d49de9172bea00f49cdae
13 Nf747adc33f95476f880212b984627592
14 Nf7dfef0ae8b54f329ff1331b5cea0494
15 anzsrc-for:11
16 anzsrc-for:1103
17 schema:author N7810c9532125454c80a0e24df7c42c1d
18 schema:citation sg:pub.10.1186/2110-5820-1-43
19 sg:pub.10.1186/2110-5820-3-2
20 sg:pub.10.1186/cc9026
21 https://doi.org/10.1001/jama.2010.1446
22 https://doi.org/10.1001/jama.288.12.1499
23 https://doi.org/10.1001/jama.289.15.1941
24 https://doi.org/10.1001/jama.292.13.1555
25 https://doi.org/10.1016/j.ahj.2008.01.009
26 https://doi.org/10.1016/j.ccc.2003.12.002
27 https://doi.org/10.1016/j.jacc.2005.06.072
28 https://doi.org/10.1056/nejm199902113400601
29 https://doi.org/10.1056/nejmoa010615
30 https://doi.org/10.1056/nejmoa070403
31 https://doi.org/10.1056/nejmoa1211801
32 https://doi.org/10.1073/pnas.0708160104
33 https://doi.org/10.1097/00003246-200210000-00012
34 https://doi.org/10.1097/01.anes.0000296070.75956.40
35 https://doi.org/10.1097/01.ccm.0000104112.34142.79
36 https://doi.org/10.1097/01.ccm.0000194725.48928.3a
37 https://doi.org/10.1097/01.ccm.0000217472.97524.0e
38 https://doi.org/10.1097/01.ta.0000171459.21450.dc
39 https://doi.org/10.1097/ccm.0b013e318169251f
40 https://doi.org/10.1097/ccm.0b013e3181a5c1f1
41 https://doi.org/10.1097/moh.0b013e32833157f4
42 https://doi.org/10.1109/iembs.2011.6092050
43 https://doi.org/10.1111/j.1537-2995.2008.01657.x
44 https://doi.org/10.1161/01.cir.0000162477.70955.5f
45 https://doi.org/10.1161/circulationaha.110.008698
46 schema:datePublished 2014-08
47 schema:datePublishedReg 2014-08-01
48 schema:description INTRODUCTION: Whether red blood cell (RBC) transfusion is beneficial remains controversial. In both retrospective and prospective evaluations, transfusion has been associated with adverse, neutral, or protective effects. These varying results likely stem from a complex interplay between transfusion, patient characteristics, and clinical context. The objective was to test whether age, comorbidities, and clinical context modulate the effect of transfusion on survival. METHODS: By using the multiparameter intelligent monitoring in intensive care II database (v. 2.6), a retrospective analysis of 9,809 critically ill patients, we evaluated the effect of RBC transfusion on 30-day and 1-year mortality. Propensity score modeling and logistic regression adjusted for known confounding and assessed the independent effect of transfusion on 30-day and 1-year mortality. Sensitivity analysis was performed by using 3,164 transfused and non-transfused pairs, matched according the previously validated propensity model for RBC transfusion. RESULTS: RBC transfusion did not affect 30-day or 1-year mortality in the overall cohort. Patients younger than 55 years had increased odds of mortality (OR, 1.71; P < 0.01) with transfusion. Patients older than 75 years had lower odds of 30-day and 1-year mortality (OR, 0.70; P < 0.01) with transfusion. Transfusion was associated with worse outcome among patients undergoing cardiac surgery (OR, 2.1; P < 0.01). The propensity-matched population corroborated findings identified by regression adjustment. CONCLUSION: A complex relation exists between RBC transfusion and clinical outcome. Our results show that transfusion is associated with improved outcomes in some cohorts and worse outcome in others, depending on comorbidities and patient characteristics. As such, future investigations and clinical decisions evaluating the value of transfusion should account for variations in baseline characteristics and clinical context.
49 schema:genre research_article
50 schema:inLanguage en
51 schema:isAccessibleForFree true
52 schema:isPartOf N64ba27fd6a4e43d9ba4615439ec79f92
53 Nf4f26dfdc75642af910df5722f367ad5
54 sg:journal.1117766
55 schema:name The effect of age and clinical circumstances on the outcome of red blood cell transfusion in critically ill patients
56 schema:pagination 487
57 schema:productId Na9fe08a9b02f4cc6a56aefb3b593d7e9
58 Nc45ad19888b04525901a5e6d38a1d06b
59 Nd950af15acf34f2b8f7e1591ae150315
60 Ndf02e2204b044ee481d38a9e8c538088
61 Ne62b711b39de4286b10e4c86d80dc246
62 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018558316
63 https://doi.org/10.1186/s13054-014-0487-z
64 schema:sdDatePublished 2019-04-11T13:09
65 schema:sdLicense https://scigraph.springernature.com/explorer/license/
66 schema:sdPublisher N75ac455ba952485eae1c10d4dc721909
67 schema:url http://link.springer.com/10.1186%2Fs13054-014-0487-z
68 sgo:license sg:explorer/license/
69 sgo:sdDataset articles
70 rdf:type schema:ScholarlyArticle
71 N038b50983a34408b997c53da4930f28b rdf:first sg:person.0655552706.23
72 rdf:rest Nedc92a0e3d00467b8974e7bf4f137839
73 N074f47e304a74662b958497efbec7ea5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
74 schema:name Anemia
75 rdf:type schema:DefinedTerm
76 N24fdb6646939426c8d9640d03c4bba91 rdf:first sg:person.01212624344.39
77 rdf:rest Nfeecab543e724fc3bf647687f151807b
78 N358b3d43fb5048c69fb3eaa7a322c366 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
79 schema:name Propensity Score
80 rdf:type schema:DefinedTerm
81 N37fd201c7388499fa474b1302f80798b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
82 schema:name Regression Analysis
83 rdf:type schema:DefinedTerm
84 N38a27bd28d0643e38aef399f2968b2f4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
85 schema:name Treatment Outcome
86 rdf:type schema:DefinedTerm
87 N4991384d0c1c406b9451fea66f8aa751 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
88 schema:name Male
89 rdf:type schema:DefinedTerm
90 N5d20b2b8687642fcb3ddd0190fa6679b rdf:first sg:person.01142664640.12
91 rdf:rest Nb4ff50ee5c1344138c865ffb00922bf7
92 N64ba27fd6a4e43d9ba4615439ec79f92 schema:volumeNumber 18
93 rdf:type schema:PublicationVolume
94 N6b53cdb941374baa843f57026c16783e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
95 schema:name Aged
96 rdf:type schema:DefinedTerm
97 N75ac455ba952485eae1c10d4dc721909 schema:name Springer Nature - SN SciGraph project
98 rdf:type schema:Organization
99 N7810c9532125454c80a0e24df7c42c1d rdf:first sg:person.01027542104.60
100 rdf:rest N5d20b2b8687642fcb3ddd0190fa6679b
101 N88ea53b67b6c4854b988860359d835cd rdf:first sg:person.01365426605.18
102 rdf:rest N24fdb6646939426c8d9640d03c4bba91
103 N8945ccf6fb91400bac3fe0bb3e161fa1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
104 schema:name Retrospective Studies
105 rdf:type schema:DefinedTerm
106 N9a94cb12cfb445e1a199a0114463eb2b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
107 schema:name Female
108 rdf:type schema:DefinedTerm
109 Na9fe08a9b02f4cc6a56aefb3b593d7e9 schema:name dimensions_id
110 schema:value pub.1018558316
111 rdf:type schema:PropertyValue
112 Nb4ff50ee5c1344138c865ffb00922bf7 rdf:first sg:person.01353465375.69
113 rdf:rest N038b50983a34408b997c53da4930f28b
114 Nb814f11c994a4906be64e970c7c1fa75 rdf:first sg:person.01316676655.33
115 rdf:rest N88ea53b67b6c4854b988860359d835cd
116 Nb9cf447c522c40849b47df0d896e8873 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
117 schema:name Critical Care
118 rdf:type schema:DefinedTerm
119 Nc45ad19888b04525901a5e6d38a1d06b schema:name doi
120 schema:value 10.1186/s13054-014-0487-z
121 rdf:type schema:PropertyValue
122 Ncfc699d18b934e2e9ed55b093a3f6867 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
123 schema:name Hospital Mortality
124 rdf:type schema:DefinedTerm
125 Nd950af15acf34f2b8f7e1591ae150315 schema:name pubmed_id
126 schema:value 25175389
127 rdf:type schema:PropertyValue
128 Ndae0bc0effe546f29842c834b2d6f16c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
129 schema:name Erythrocyte Transfusion
130 rdf:type schema:DefinedTerm
131 Ndf02e2204b044ee481d38a9e8c538088 schema:name nlm_unique_id
132 schema:value 9801902
133 rdf:type schema:PropertyValue
134 Ne62b711b39de4286b10e4c86d80dc246 schema:name readcube_id
135 schema:value 586c40842cfa6b5ab19f33d51be8698aaaf1fddb4e4337c3d4f4c1a5e8b80f3c
136 rdf:type schema:PropertyValue
137 Ne854c2bedd8d49de9172bea00f49cdae schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
138 schema:name Risk Factors
139 rdf:type schema:DefinedTerm
140 Nedc92a0e3d00467b8974e7bf4f137839 rdf:first sg:person.0642061325.96
141 rdf:rest Nb814f11c994a4906be64e970c7c1fa75
142 Nf4f26dfdc75642af910df5722f367ad5 schema:issueNumber 4
143 rdf:type schema:PublicationIssue
144 Nf747adc33f95476f880212b984627592 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
145 schema:name Humans
146 rdf:type schema:DefinedTerm
147 Nf7dfef0ae8b54f329ff1331b5cea0494 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
148 schema:name Age Factors
149 rdf:type schema:DefinedTerm
150 Nfeecab543e724fc3bf647687f151807b rdf:first sg:person.01144416340.69
151 rdf:rest rdf:nil
152 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
153 schema:name Medical and Health Sciences
154 rdf:type schema:DefinedTerm
155 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
156 schema:name Clinical Sciences
157 rdf:type schema:DefinedTerm
158 sg:grant.2419863 http://pending.schema.org/fundedItem sg:pub.10.1186/s13054-014-0487-z
159 rdf:type schema:MonetaryGrant
160 sg:grant.2501251 http://pending.schema.org/fundedItem sg:pub.10.1186/s13054-014-0487-z
161 rdf:type schema:MonetaryGrant
162 sg:journal.1117766 schema:issn 1364-8535
163 1466-609X
164 schema:name Critical Care
165 rdf:type schema:Periodical
166 sg:person.01027542104.60 schema:affiliation https://www.grid.ac/institutes/grid.239395.7
167 schema:familyName Dejam
168 schema:givenName Andre
169 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01027542104.60
170 rdf:type schema:Person
171 sg:person.01142664640.12 schema:affiliation https://www.grid.ac/institutes/grid.261277.7
172 schema:familyName Malley
173 schema:givenName Brian E
174 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01142664640.12
175 rdf:type schema:Person
176 sg:person.01144416340.69 schema:affiliation https://www.grid.ac/institutes/grid.413735.7
177 schema:familyName Celi
178 schema:givenName Leo Anthony
179 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01144416340.69
180 rdf:type schema:Person
181 sg:person.01212624344.39 schema:affiliation https://www.grid.ac/institutes/grid.239395.7
182 schema:familyName Pinto
183 schema:givenName Duane S
184 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01212624344.39
185 rdf:type schema:Person
186 sg:person.01316676655.33 schema:affiliation https://www.grid.ac/institutes/grid.416843.c
187 schema:familyName Samani
188 schema:givenName Saira
189 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01316676655.33
190 rdf:type schema:Person
191 sg:person.01353465375.69 schema:affiliation https://www.grid.ac/institutes/grid.418705.f
192 schema:familyName Feng
193 schema:givenName Mengling
194 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01353465375.69
195 rdf:type schema:Person
196 sg:person.01365426605.18 schema:affiliation https://www.grid.ac/institutes/grid.7147.5
197 schema:familyName Samani
198 schema:givenName Zahra Aziz
199 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01365426605.18
200 rdf:type schema:Person
201 sg:person.0642061325.96 schema:affiliation https://www.grid.ac/institutes/grid.413735.7
202 schema:familyName Park
203 schema:givenName Shinhyuk
204 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0642061325.96
205 rdf:type schema:Person
206 sg:person.0655552706.23 schema:affiliation https://www.grid.ac/institutes/grid.413735.7
207 schema:familyName Cismondi
208 schema:givenName Federico
209 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0655552706.23
210 rdf:type schema:Person
211 sg:pub.10.1186/2110-5820-1-43 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003110846
212 https://doi.org/10.1186/2110-5820-1-43
213 rdf:type schema:CreativeWork
214 sg:pub.10.1186/2110-5820-3-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017576583
215 https://doi.org/10.1186/2110-5820-3-2
216 rdf:type schema:CreativeWork
217 sg:pub.10.1186/cc9026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051374782
218 https://doi.org/10.1186/cc9026
219 rdf:type schema:CreativeWork
220 https://doi.org/10.1001/jama.2010.1446 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046887971
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1001/jama.288.12.1499 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004916632
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1001/jama.289.15.1941 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052059807
225 rdf:type schema:CreativeWork
226 https://doi.org/10.1001/jama.292.13.1555 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045299726
227 rdf:type schema:CreativeWork
228 https://doi.org/10.1016/j.ahj.2008.01.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016745108
229 rdf:type schema:CreativeWork
230 https://doi.org/10.1016/j.ccc.2003.12.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038420652
231 rdf:type schema:CreativeWork
232 https://doi.org/10.1016/j.jacc.2005.06.072 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053464631
233 rdf:type schema:CreativeWork
234 https://doi.org/10.1056/nejm199902113400601 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044018868
235 rdf:type schema:CreativeWork
236 https://doi.org/10.1056/nejmoa010615 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028202131
237 rdf:type schema:CreativeWork
238 https://doi.org/10.1056/nejmoa070403 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042037618
239 rdf:type schema:CreativeWork
240 https://doi.org/10.1056/nejmoa1211801 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008600953
241 rdf:type schema:CreativeWork
242 https://doi.org/10.1073/pnas.0708160104 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035066550
243 rdf:type schema:CreativeWork
244 https://doi.org/10.1097/00003246-200210000-00012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000992580
245 rdf:type schema:CreativeWork
246 https://doi.org/10.1097/01.anes.0000296070.75956.40 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052957302
247 rdf:type schema:CreativeWork
248 https://doi.org/10.1097/01.ccm.0000104112.34142.79 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019384099
249 rdf:type schema:CreativeWork
250 https://doi.org/10.1097/01.ccm.0000194725.48928.3a schema:sameAs https://app.dimensions.ai/details/publication/pub.1018019008
251 rdf:type schema:CreativeWork
252 https://doi.org/10.1097/01.ccm.0000217472.97524.0e schema:sameAs https://app.dimensions.ai/details/publication/pub.1033807744
253 rdf:type schema:CreativeWork
254 https://doi.org/10.1097/01.ta.0000171459.21450.dc schema:sameAs https://app.dimensions.ai/details/publication/pub.1060322702
255 rdf:type schema:CreativeWork
256 https://doi.org/10.1097/ccm.0b013e318169251f schema:sameAs https://app.dimensions.ai/details/publication/pub.1034875067
257 rdf:type schema:CreativeWork
258 https://doi.org/10.1097/ccm.0b013e3181a5c1f1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016269321
259 rdf:type schema:CreativeWork
260 https://doi.org/10.1097/moh.0b013e32833157f4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038399825
261 rdf:type schema:CreativeWork
262 https://doi.org/10.1109/iembs.2011.6092050 schema:sameAs https://app.dimensions.ai/details/publication/pub.1078504289
263 rdf:type schema:CreativeWork
264 https://doi.org/10.1111/j.1537-2995.2008.01657.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1024772421
265 rdf:type schema:CreativeWork
266 https://doi.org/10.1161/01.cir.0000162477.70955.5f schema:sameAs https://app.dimensions.ai/details/publication/pub.1030381861
267 rdf:type schema:CreativeWork
268 https://doi.org/10.1161/circulationaha.110.008698 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016967713
269 rdf:type schema:CreativeWork
270 https://www.grid.ac/institutes/grid.239395.7 schema:alternateName Beth Israel Deaconess Medical Center
271 schema:name Beth Israel Deaconess Medical Center, 02215, Boston, MA, USA
272 rdf:type schema:Organization
273 https://www.grid.ac/institutes/grid.261277.7 schema:alternateName Oakland University
274 schema:name Harvard-MIT Division of Health Sciences & Technology, 02139, Cambridge, MA, USA
275 Oakland University William Beaumont School of Medicine, 48309, Rochester, MI, USA
276 rdf:type schema:Organization
277 https://www.grid.ac/institutes/grid.413735.7 schema:alternateName Harvard–MIT Division of Health Sciences and Technology
278 schema:name Beth Israel Deaconess Medical Center, 02215, Boston, MA, USA
279 Harvard-MIT Division of Health Sciences & Technology, 02139, Cambridge, MA, USA
280 rdf:type schema:Organization
281 https://www.grid.ac/institutes/grid.416843.c schema:alternateName Mount Auburn Hospital
282 schema:name Mount Auburn Hospital, 02138, Cambridge, MA, USA
283 rdf:type schema:Organization
284 https://www.grid.ac/institutes/grid.418705.f schema:alternateName Institute for Infocomm Research
285 schema:name Harvard-MIT Division of Health Sciences & Technology, 02139, Cambridge, MA, USA
286 Institute for Infocomm Research, 138632, Singapore, Singapore
287 rdf:type schema:Organization
288 https://www.grid.ac/institutes/grid.7147.5 schema:alternateName Aga Khan University
289 schema:name Aga Khan University Medical College, 74800, Karachi, Pakistan
290 rdf:type schema:Organization
 




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


...