The hematopoietic stem cell transplant comorbidity index can predict for 30-day readmission following autologous stem cell transplant for lymphoma and ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2014-07-28

AUTHORS

S M Jaglowski, A S Ruppert, C C Hofmeister, P Elder, W Blum, R Klisovic, S Vasu, S Penza, Y A Efebera, D M Benson, S M Devine, L A Andritsos

ABSTRACT

Patients who undergo autologous stem cell transplant (ASCT) for hematologic malignancies frequently have multiple comorbidities. The hematopoietic cell transplantation comorbidity index (HCT-CI), a transplant-specific modification of the Charlson comorbidity index, can predict risk of readmission following allogeneic stem cell transplant. Its utility in the autologous setting is unknown. We evaluated 620 patients who underwent ASCT at the Ohio State University from 2007 to 2012 for lymphoma or multiple myeloma (MM) to identify factors associated with readmission. Univariable and multivariable logistic regression were used to estimate the odds of readmission within 30 days of discharge following ASCT. A Cox proportional hazards model was used to evaluate OS. Sixty-four patients were readmitted within 30 days; the most common indications were fever and prolonged gastrointestinal toxicity. MM compared with lymphoma (odds ratio (OR) 1.89, 95% confidence interval (95% CI): 1.06–3.38, P=0.03), HCT-CI⩾3 (OR 1.74, 95% CI: 1.03–2.96, P=0.04) and length of hospitalization ⩾28 days (OR 3.14, 95% CI: 1.26–7.83, P=0.01) remained significantly associated with 30-day readmission in a multivariable model. While the model had excellent fit (P>0.75), its ability to predict individual patients who would be readmitted was less than acceptable (receiver-operator curve=0.64, 95% CI: 0.57–0.71). In a multivariable proportional hazards model, 30-day readmission (hazards ratio (HR) 1.81, 95% CI: 1.04–3.18, P=0.04), length of hospitalization ⩾28 days (HR 4.93, 95% CI: 2.65–9.18, P<0.001) and chemorefractory disease (HR 3.08, 95% CI: 1.74–5.43, P<0.001) were independently associated with inferior OS, but HCT-CI was not. Evaluation of other assessment tools may allow better prediction of outcomes following ASCT. More... »

PAGES

1323-1329

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/bmt.2014.155

DOI

http://dx.doi.org/10.1038/bmt.2014.155

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1036604211

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/25068419


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/2008/1117", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Public Health and Health Services", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adolescent", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Comorbidity", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Hematopoietic Stem Cell Transplantation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Lymphoma", 
        "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": "Multiple Myeloma", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Transplantation Conditioning", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Transplantation, Autologous", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Young Adult", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Internal Medicine, Division of Hematology, The Ohio State University, Columbus, OH, USA", 
          "id": "http://www.grid.ac/institutes/grid.261331.4", 
          "name": [
            "Department of Internal Medicine, Division of Hematology, The Ohio State University, Columbus, OH, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jaglowski", 
        "givenName": "S M", 
        "id": "sg:person.0761515345.81", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0761515345.81"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Internal Medicine, Division of Hematology, The Ohio State University, Columbus, OH, USA", 
          "id": "http://www.grid.ac/institutes/grid.261331.4", 
          "name": [
            "Department of Internal Medicine, Division of Hematology, The Ohio State University, Columbus, OH, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ruppert", 
        "givenName": "A S", 
        "id": "sg:person.0600021165.61", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0600021165.61"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Internal Medicine, Division of Hematology, The Ohio State University, Columbus, OH, USA", 
          "id": "http://www.grid.ac/institutes/grid.261331.4", 
          "name": [
            "Department of Internal Medicine, Division of Hematology, The Ohio State University, Columbus, OH, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hofmeister", 
        "givenName": "C C", 
        "id": "sg:person.0646046513.55", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0646046513.55"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA", 
          "id": "http://www.grid.ac/institutes/grid.261331.4", 
          "name": [
            "The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Elder", 
        "givenName": "P", 
        "id": "sg:person.013444413324.84", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013444413324.84"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Internal Medicine, Division of Hematology, The Ohio State University, Columbus, OH, USA", 
          "id": "http://www.grid.ac/institutes/grid.261331.4", 
          "name": [
            "Department of Internal Medicine, Division of Hematology, The Ohio State University, Columbus, OH, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Blum", 
        "givenName": "W", 
        "id": "sg:person.01225516107.78", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01225516107.78"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Internal Medicine, Division of Hematology, The Ohio State University, Columbus, OH, USA", 
          "id": "http://www.grid.ac/institutes/grid.261331.4", 
          "name": [
            "Department of Internal Medicine, Division of Hematology, The Ohio State University, Columbus, OH, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Klisovic", 
        "givenName": "R", 
        "id": "sg:person.01152247522.51", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01152247522.51"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Internal Medicine, Division of Hematology, The Ohio State University, Columbus, OH, USA", 
          "id": "http://www.grid.ac/institutes/grid.261331.4", 
          "name": [
            "Department of Internal Medicine, Division of Hematology, The Ohio State University, Columbus, OH, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Vasu", 
        "givenName": "S", 
        "id": "sg:person.01060173246.12", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01060173246.12"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Internal Medicine, Division of Hematology, The Ohio State University, Columbus, OH, USA", 
          "id": "http://www.grid.ac/institutes/grid.261331.4", 
          "name": [
            "Department of Internal Medicine, Division of Hematology, The Ohio State University, Columbus, OH, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Penza", 
        "givenName": "S", 
        "id": "sg:person.01121536525.10", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01121536525.10"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Internal Medicine, Division of Hematology, The Ohio State University, Columbus, OH, USA", 
          "id": "http://www.grid.ac/institutes/grid.261331.4", 
          "name": [
            "Department of Internal Medicine, Division of Hematology, The Ohio State University, Columbus, OH, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Efebera", 
        "givenName": "Y A", 
        "id": "sg:person.01136654742.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01136654742.16"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Internal Medicine, Division of Hematology, The Ohio State University, Columbus, OH, USA", 
          "id": "http://www.grid.ac/institutes/grid.261331.4", 
          "name": [
            "Department of Internal Medicine, Division of Hematology, The Ohio State University, Columbus, OH, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Benson", 
        "givenName": "D M", 
        "id": "sg:person.011746564122.47", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011746564122.47"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Internal Medicine, Division of Hematology, The Ohio State University, Columbus, OH, USA", 
          "id": "http://www.grid.ac/institutes/grid.261331.4", 
          "name": [
            "Department of Internal Medicine, Division of Hematology, The Ohio State University, Columbus, OH, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Devine", 
        "givenName": "S M", 
        "id": "sg:person.01302703020.41", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01302703020.41"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Internal Medicine, Division of Hematology, The Ohio State University, Columbus, OH, USA", 
          "id": "http://www.grid.ac/institutes/grid.261331.4", 
          "name": [
            "Department of Internal Medicine, Division of Hematology, The Ohio State University, Columbus, OH, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Andritsos", 
        "givenName": "L A", 
        "id": "sg:person.0654404346.73", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0654404346.73"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s11606-009-1196-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008939587", 
          "https://doi.org/10.1007/s11606-009-1196-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.bmt.1705371", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021239744", 
          "https://doi.org/10.1038/sj.bmt.1705371"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2014-07-28", 
    "datePublishedReg": "2014-07-28", 
    "description": "Patients who undergo autologous stem cell transplant (ASCT) for hematologic malignancies frequently have multiple comorbidities. The hematopoietic cell transplantation comorbidity index (HCT-CI), a transplant-specific modification of the Charlson comorbidity index, can predict risk of readmission following allogeneic stem cell transplant. Its utility in the autologous setting is unknown. We evaluated 620 patients who underwent ASCT at the Ohio State University from 2007 to 2012 for lymphoma or multiple myeloma (MM) to identify factors associated with readmission. Univariable and multivariable logistic regression were used to estimate the odds of readmission within 30 days of discharge following ASCT. A Cox proportional hazards model was used to evaluate OS. Sixty-four patients were readmitted within 30 days; the most common indications were fever and prolonged gastrointestinal toxicity. MM compared with lymphoma (odds ratio (OR) 1.89, 95% confidence interval (95% CI): 1.06\u20133.38, P=0.03), HCT-CI\u2a7e3 (OR 1.74, 95% CI: 1.03\u20132.96, P=0.04) and length of hospitalization \u2a7e28 days (OR 3.14, 95% CI: 1.26\u20137.83, P=0.01) remained significantly associated with 30-day readmission in a multivariable model. While the model had excellent fit (P>0.75), its ability to predict individual patients who would be readmitted was less than acceptable (receiver-operator curve=0.64, 95% CI: 0.57\u20130.71). In a multivariable proportional hazards model, 30-day readmission (hazards ratio (HR) 1.81, 95% CI: 1.04\u20133.18, P=0.04), length of hospitalization \u2a7e28 days (HR 4.93, 95% CI: 2.65\u20139.18, P<0.001) and chemorefractory disease (HR 3.08, 95% CI: 1.74\u20135.43, P<0.001) were independently associated with inferior OS, but HCT-CI was not. Evaluation of other assessment tools may allow better prediction of outcomes following ASCT.", 
    "genre": "article", 
    "id": "sg:pub.10.1038/bmt.2014.155", 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2416454", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1096890", 
        "issn": [
          "0268-3369", 
          "1476-5365"
        ], 
        "name": "Bone Marrow Transplantation", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "10", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "49"
      }
    ], 
    "keywords": [
      "autologous stem cell transplant", 
      "stem cell transplant", 
      "length of hospitalization", 
      "proportional hazards model", 
      "multiple myeloma", 
      "comorbidity index", 
      "cell transplant", 
      "hazards model", 
      "hematopoietic cell transplantation comorbidity index", 
      "multivariable proportional hazards models", 
      "allogeneic stem cell transplant", 
      "Cox proportional hazards model", 
      "odds of readmission", 
      "Charlson Comorbidity Index", 
      "risk of readmission", 
      "days of discharge", 
      "multivariable logistic regression", 
      "inferior OS", 
      "HCT-CI", 
      "multiple comorbidities", 
      "gastrointestinal toxicity", 
      "common indication", 
      "chemorefractory disease", 
      "autologous setting", 
      "hematologic malignancies", 
      "multivariable model", 
      "readmission", 
      "individual patients", 
      "patients", 
      "logistic regression", 
      "transplant", 
      "lymphoma", 
      "hospitalization", 
      "myeloma", 
      "assessment tool", 
      "days", 
      "comorbidities", 
      "malignancy", 
      "index", 
      "disease", 
      "Hct", 
      "odds", 
      "outcomes", 
      "risk", 
      "toxicity", 
      "indications", 
      "OS", 
      "OS", 
      "regression", 
      "setting", 
      "factors", 
      "discharge", 
      "evaluation", 
      "Ohio State University", 
      "utility", 
      "length", 
      "ability", 
      "model", 
      "modification", 
      "University", 
      "tool", 
      "excellent fit", 
      "better prediction", 
      "State University", 
      "fit", 
      "prediction"
    ], 
    "name": "The hematopoietic stem cell transplant comorbidity index can predict for 30-day readmission following autologous stem cell transplant for lymphoma and multiple myeloma", 
    "pagination": "1323-1329", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1036604211"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/bmt.2014.155"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "25068419"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/bmt.2014.155", 
      "https://app.dimensions.ai/details/publication/pub.1036604211"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-11-24T20:58", 
    "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_638.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1038/bmt.2014.155"
  }
]
 

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.10.1038/bmt.2014.155'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/bmt.2014.155'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/bmt.2014.155'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/bmt.2014.155'


 

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

271 TRIPLES      21 PREDICATES      106 URIs      96 LITERALS      21 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/bmt.2014.155 schema:about N1770f51e360b4f5f9b5b6139e6ae1396
2 N4c78178aa8f44cafa847f7c83d054183
3 N5ad8f435418b46109d0fce24d46a802b
4 N5afe4b2235194f2ea393b8423cb6145c
5 N6851b351451e4c8f953a8198ab189b06
6 N74948fbcd3ec4bd79fb55926e6a3e0fe
7 N8cc4f3b833254997975ce64158fb93ab
8 Na56b7bda94384c8b88d05366f4f0ea03
9 Nb0221f99a8864442b48d8c1e874cae53
10 Nb1c5470437e14a8baa53cdab4c7d22f5
11 Nb95f51e7400c440cb3b2dc4f8e356a54
12 Nc0cf1e6b95b4448caba8f9d2e24a8f0d
13 Nd42da547e0084b80b1f74c5b95aa4447
14 Nde2a9c3356304e57bfa8315f1fa411e4
15 anzsrc-for:11
16 anzsrc-for:1117
17 schema:author N01e0570d090b4545ac4ee8108d21a11e
18 schema:citation sg:pub.10.1007/s11606-009-1196-1
19 sg:pub.10.1038/sj.bmt.1705371
20 schema:datePublished 2014-07-28
21 schema:datePublishedReg 2014-07-28
22 schema:description Patients who undergo autologous stem cell transplant (ASCT) for hematologic malignancies frequently have multiple comorbidities. The hematopoietic cell transplantation comorbidity index (HCT-CI), a transplant-specific modification of the Charlson comorbidity index, can predict risk of readmission following allogeneic stem cell transplant. Its utility in the autologous setting is unknown. We evaluated 620 patients who underwent ASCT at the Ohio State University from 2007 to 2012 for lymphoma or multiple myeloma (MM) to identify factors associated with readmission. Univariable and multivariable logistic regression were used to estimate the odds of readmission within 30 days of discharge following ASCT. A Cox proportional hazards model was used to evaluate OS. Sixty-four patients were readmitted within 30 days; the most common indications were fever and prolonged gastrointestinal toxicity. MM compared with lymphoma (odds ratio (OR) 1.89, 95% confidence interval (95% CI): 1.06–3.38, P=0.03), HCT-CI⩾3 (OR 1.74, 95% CI: 1.03–2.96, P=0.04) and length of hospitalization ⩾28 days (OR 3.14, 95% CI: 1.26–7.83, P=0.01) remained significantly associated with 30-day readmission in a multivariable model. While the model had excellent fit (P>0.75), its ability to predict individual patients who would be readmitted was less than acceptable (receiver-operator curve=0.64, 95% CI: 0.57–0.71). In a multivariable proportional hazards model, 30-day readmission (hazards ratio (HR) 1.81, 95% CI: 1.04–3.18, P=0.04), length of hospitalization ⩾28 days (HR 4.93, 95% CI: 2.65–9.18, P<0.001) and chemorefractory disease (HR 3.08, 95% CI: 1.74–5.43, P<0.001) were independently associated with inferior OS, but HCT-CI was not. Evaluation of other assessment tools may allow better prediction of outcomes following ASCT.
23 schema:genre article
24 schema:isAccessibleForFree true
25 schema:isPartOf N52d9743febce448d96cbe7e64466f041
26 N6cf2adba76ce4067b2793d02b5657f67
27 sg:journal.1096890
28 schema:keywords Charlson Comorbidity Index
29 Cox proportional hazards model
30 HCT-CI
31 Hct
32 OS
33 Ohio State University
34 State University
35 University
36 ability
37 allogeneic stem cell transplant
38 assessment tool
39 autologous setting
40 autologous stem cell transplant
41 better prediction
42 cell transplant
43 chemorefractory disease
44 common indication
45 comorbidities
46 comorbidity index
47 days
48 days of discharge
49 discharge
50 disease
51 evaluation
52 excellent fit
53 factors
54 fit
55 gastrointestinal toxicity
56 hazards model
57 hematologic malignancies
58 hematopoietic cell transplantation comorbidity index
59 hospitalization
60 index
61 indications
62 individual patients
63 inferior OS
64 length
65 length of hospitalization
66 logistic regression
67 lymphoma
68 malignancy
69 model
70 modification
71 multiple comorbidities
72 multiple myeloma
73 multivariable logistic regression
74 multivariable model
75 multivariable proportional hazards models
76 myeloma
77 odds
78 odds of readmission
79 outcomes
80 patients
81 prediction
82 proportional hazards model
83 readmission
84 regression
85 risk
86 risk of readmission
87 setting
88 stem cell transplant
89 tool
90 toxicity
91 transplant
92 utility
93 schema:name The hematopoietic stem cell transplant comorbidity index can predict for 30-day readmission following autologous stem cell transplant for lymphoma and multiple myeloma
94 schema:pagination 1323-1329
95 schema:productId N4303ecba8e994127974fd14ffc070d2c
96 N857b45119cd649d5b24167dd35d19a01
97 Nc9ca6b4e35264de3a74a84c00360cdf6
98 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036604211
99 https://doi.org/10.1038/bmt.2014.155
100 schema:sdDatePublished 2022-11-24T20:58
101 schema:sdLicense https://scigraph.springernature.com/explorer/license/
102 schema:sdPublisher N0cba9377f22a4a41b842d088701912f4
103 schema:url https://doi.org/10.1038/bmt.2014.155
104 sgo:license sg:explorer/license/
105 sgo:sdDataset articles
106 rdf:type schema:ScholarlyArticle
107 N01e0570d090b4545ac4ee8108d21a11e rdf:first sg:person.0761515345.81
108 rdf:rest N27d0fe13d5bf4d1b80b1b9a69d9275d8
109 N0cba9377f22a4a41b842d088701912f4 schema:name Springer Nature - SN SciGraph project
110 rdf:type schema:Organization
111 N11dcc56ab65841169f1fe76a823fe82f rdf:first sg:person.01302703020.41
112 rdf:rest N36235832fd1e459d867f3d87c16e4e1f
113 N1770f51e360b4f5f9b5b6139e6ae1396 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
114 schema:name Aged
115 rdf:type schema:DefinedTerm
116 N1f5a247a45a14645ac2eb10a0429e8ca rdf:first sg:person.01152247522.51
117 rdf:rest Nc136fea334484897b40a6f3d96f4b7a2
118 N27d0fe13d5bf4d1b80b1b9a69d9275d8 rdf:first sg:person.0600021165.61
119 rdf:rest N97228645e04745bfadd148f05f2aedf9
120 N36235832fd1e459d867f3d87c16e4e1f rdf:first sg:person.0654404346.73
121 rdf:rest rdf:nil
122 N4303ecba8e994127974fd14ffc070d2c schema:name doi
123 schema:value 10.1038/bmt.2014.155
124 rdf:type schema:PropertyValue
125 N4ad7968fd2464204bfcaeb7299240c97 rdf:first sg:person.01225516107.78
126 rdf:rest N1f5a247a45a14645ac2eb10a0429e8ca
127 N4c78178aa8f44cafa847f7c83d054183 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
128 schema:name Female
129 rdf:type schema:DefinedTerm
130 N52d9743febce448d96cbe7e64466f041 schema:issueNumber 10
131 rdf:type schema:PublicationIssue
132 N5ad8f435418b46109d0fce24d46a802b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
133 schema:name Middle Aged
134 rdf:type schema:DefinedTerm
135 N5afe4b2235194f2ea393b8423cb6145c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
136 schema:name Multiple Myeloma
137 rdf:type schema:DefinedTerm
138 N5eb10a4c72864efcbd59191a26ec677d rdf:first sg:person.011746564122.47
139 rdf:rest N11dcc56ab65841169f1fe76a823fe82f
140 N6851b351451e4c8f953a8198ab189b06 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
141 schema:name Lymphoma
142 rdf:type schema:DefinedTerm
143 N6cf2adba76ce4067b2793d02b5657f67 schema:volumeNumber 49
144 rdf:type schema:PublicationVolume
145 N74948fbcd3ec4bd79fb55926e6a3e0fe schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
146 schema:name Comorbidity
147 rdf:type schema:DefinedTerm
148 N7cb472eb14b44463bbc4770597ba7314 rdf:first sg:person.01136654742.16
149 rdf:rest N5eb10a4c72864efcbd59191a26ec677d
150 N857b45119cd649d5b24167dd35d19a01 schema:name pubmed_id
151 schema:value 25068419
152 rdf:type schema:PropertyValue
153 N878d3f9883ac4f8984834afd05c5c13f rdf:first sg:person.01121536525.10
154 rdf:rest N7cb472eb14b44463bbc4770597ba7314
155 N8cc4f3b833254997975ce64158fb93ab schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
156 schema:name Transplantation, Autologous
157 rdf:type schema:DefinedTerm
158 N97228645e04745bfadd148f05f2aedf9 rdf:first sg:person.0646046513.55
159 rdf:rest Nd53528f28f654d5d99c8a88bc06a716b
160 Na56b7bda94384c8b88d05366f4f0ea03 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
161 schema:name Hematopoietic Stem Cell Transplantation
162 rdf:type schema:DefinedTerm
163 Nb0221f99a8864442b48d8c1e874cae53 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
164 schema:name Humans
165 rdf:type schema:DefinedTerm
166 Nb1c5470437e14a8baa53cdab4c7d22f5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
167 schema:name Male
168 rdf:type schema:DefinedTerm
169 Nb95f51e7400c440cb3b2dc4f8e356a54 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
170 schema:name Young Adult
171 rdf:type schema:DefinedTerm
172 Nc0cf1e6b95b4448caba8f9d2e24a8f0d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
173 schema:name Adult
174 rdf:type schema:DefinedTerm
175 Nc136fea334484897b40a6f3d96f4b7a2 rdf:first sg:person.01060173246.12
176 rdf:rest N878d3f9883ac4f8984834afd05c5c13f
177 Nc9ca6b4e35264de3a74a84c00360cdf6 schema:name dimensions_id
178 schema:value pub.1036604211
179 rdf:type schema:PropertyValue
180 Nd42da547e0084b80b1f74c5b95aa4447 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
181 schema:name Transplantation Conditioning
182 rdf:type schema:DefinedTerm
183 Nd53528f28f654d5d99c8a88bc06a716b rdf:first sg:person.013444413324.84
184 rdf:rest N4ad7968fd2464204bfcaeb7299240c97
185 Nde2a9c3356304e57bfa8315f1fa411e4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
186 schema:name Adolescent
187 rdf:type schema:DefinedTerm
188 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
189 schema:name Medical and Health Sciences
190 rdf:type schema:DefinedTerm
191 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
192 schema:name Public Health and Health Services
193 rdf:type schema:DefinedTerm
194 sg:grant.2416454 http://pending.schema.org/fundedItem sg:pub.10.1038/bmt.2014.155
195 rdf:type schema:MonetaryGrant
196 sg:journal.1096890 schema:issn 0268-3369
197 1476-5365
198 schema:name Bone Marrow Transplantation
199 schema:publisher Springer Nature
200 rdf:type schema:Periodical
201 sg:person.01060173246.12 schema:affiliation grid-institutes:grid.261331.4
202 schema:familyName Vasu
203 schema:givenName S
204 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01060173246.12
205 rdf:type schema:Person
206 sg:person.01121536525.10 schema:affiliation grid-institutes:grid.261331.4
207 schema:familyName Penza
208 schema:givenName S
209 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01121536525.10
210 rdf:type schema:Person
211 sg:person.01136654742.16 schema:affiliation grid-institutes:grid.261331.4
212 schema:familyName Efebera
213 schema:givenName Y A
214 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01136654742.16
215 rdf:type schema:Person
216 sg:person.01152247522.51 schema:affiliation grid-institutes:grid.261331.4
217 schema:familyName Klisovic
218 schema:givenName R
219 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01152247522.51
220 rdf:type schema:Person
221 sg:person.011746564122.47 schema:affiliation grid-institutes:grid.261331.4
222 schema:familyName Benson
223 schema:givenName D M
224 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011746564122.47
225 rdf:type schema:Person
226 sg:person.01225516107.78 schema:affiliation grid-institutes:grid.261331.4
227 schema:familyName Blum
228 schema:givenName W
229 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01225516107.78
230 rdf:type schema:Person
231 sg:person.01302703020.41 schema:affiliation grid-institutes:grid.261331.4
232 schema:familyName Devine
233 schema:givenName S M
234 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01302703020.41
235 rdf:type schema:Person
236 sg:person.013444413324.84 schema:affiliation grid-institutes:grid.261331.4
237 schema:familyName Elder
238 schema:givenName P
239 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013444413324.84
240 rdf:type schema:Person
241 sg:person.0600021165.61 schema:affiliation grid-institutes:grid.261331.4
242 schema:familyName Ruppert
243 schema:givenName A S
244 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0600021165.61
245 rdf:type schema:Person
246 sg:person.0646046513.55 schema:affiliation grid-institutes:grid.261331.4
247 schema:familyName Hofmeister
248 schema:givenName C C
249 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0646046513.55
250 rdf:type schema:Person
251 sg:person.0654404346.73 schema:affiliation grid-institutes:grid.261331.4
252 schema:familyName Andritsos
253 schema:givenName L A
254 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0654404346.73
255 rdf:type schema:Person
256 sg:person.0761515345.81 schema:affiliation grid-institutes:grid.261331.4
257 schema:familyName Jaglowski
258 schema:givenName S M
259 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0761515345.81
260 rdf:type schema:Person
261 sg:pub.10.1007/s11606-009-1196-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008939587
262 https://doi.org/10.1007/s11606-009-1196-1
263 rdf:type schema:CreativeWork
264 sg:pub.10.1038/sj.bmt.1705371 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021239744
265 https://doi.org/10.1038/sj.bmt.1705371
266 rdf:type schema:CreativeWork
267 grid-institutes:grid.261331.4 schema:alternateName Department of Internal Medicine, Division of Hematology, The Ohio State University, Columbus, OH, USA
268 The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
269 schema:name Department of Internal Medicine, Division of Hematology, The Ohio State University, Columbus, OH, USA
270 The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
271 rdf:type schema:Organization
 




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


...