Development and prospective validation of a model for predicting weaning in chronic ventilator dependent patients View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2003-12

AUTHORS

Katherine P Hendra, Peter AL Bonis, Martin Joyce-Brady

ABSTRACT

BACKGROUND: Approximately ten percent of patients placed on mechanical ventilation during acute illness will require long-term ventilator support. Unfortunately, despite rehabilitation, some will never be liberated from the ventilator. A method of predicting weaning outcomes for these patients could help conserve resources and minimize frustrating failed weaning attempts for this population. The objective of this investigation was to identify predictors of weaning outcome for patients admitted to a chronic ventilator unit (CVU). METHODS: This was a retrospective analysis with prospective validation. The study setting was a 25 bed CVU within a rehabilitation hospital. The training group consisted of 43 patients referred to our facility for weaning after > 3 weeks of mechanical ventilation. A multivariate model to predict weaning outcome was constructed in this group and applied to a prospective group of 31 patients followed during an 18-month period. RESULTS: A modified Glasgow Coma Scale (GCS) and the presence of sustained spontaneous respirations (SSR), defined as the presence of 2 breaths recorded above the ventilator settings on four occasions, were highly predictive of weaning success within six months of CVU admission. Patients with a modified GCS > or = 8 were 6.5 times more likely to wean than those with a modified GCS < 8 (95% confidence interval 1.6-26.3) and those with SSR were 25.5 times more likely to wean than those without SSR (95% confidence interval 4.3-51.9). CONCLUSIONS: In our population of CVU patients, simple parameters that were available on admission and did not directly reflect cardiopulmonary function were useful predictors of weaning outcome. More... »

PAGES

3

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1471-2466-3-3

DOI

http://dx.doi.org/10.1186/1471-2466-3-3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1010976104

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/14614783


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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Tufts University", 
          "id": "https://www.grid.ac/institutes/grid.429997.8", 
          "name": [
            "Division of Pulmonary/Critical Care Medicine, Saint Elizabeth's Medical Center, Tuft's University School of Medicine, 02135, Boston, MA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hendra", 
        "givenName": "Katherine P", 
        "id": "sg:person.01123144637.18", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01123144637.18"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tufts Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.67033.31", 
          "name": [
            "Clinical Care Research Division, New England Medical Center, Tuft's University School of Medicine, Boston, MA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bonis", 
        "givenName": "Peter AL", 
        "id": "sg:person.01277223451.20", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01277223451.20"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Boston University School of Medicine", 
          "id": "https://www.grid.ac/institutes/grid.475010.7", 
          "name": [
            "Pulmonary Center Boston University School of Medicine, Boston, MA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Joyce-Brady", 
        "givenName": "Martin", 
        "id": "sg:person.0714627711.07", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0714627711.07"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1378/chest.111.4.1024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003185099"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1183/09031936.94.07091645", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003532395"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1378/chest.95.2.398", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005699236"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1378/chest.107.2.500", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008924453"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00005373-200001000-00013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009300458"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00005373-200001000-00013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009300458"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4065/72.1.13", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021936971"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1378/chest.110.4.1018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022492189"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(74)91639-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023372874"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0025-6196(12)61313-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032674712"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/088506668800300607", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033075377"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/088506668800300607", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033075377"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1378/chest.113.1.86", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033234137"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1164/ajrccm.163.3.2003060", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036508234"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/archneur.1997.00550170078017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041229081"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00005373-199609000-00022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060208536"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00005373-199609000-00022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060208536"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00005373-199609000-00022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060208536"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082645580", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1083143138", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0310057x9702500407", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083143138"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0310057x9702500407", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083143138"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0310057x9702500407", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083143138"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2003-12", 
    "datePublishedReg": "2003-12-01", 
    "description": "BACKGROUND: Approximately ten percent of patients placed on mechanical ventilation during acute illness will require long-term ventilator support. Unfortunately, despite rehabilitation, some will never be liberated from the ventilator. A method of predicting weaning outcomes for these patients could help conserve resources and minimize frustrating failed weaning attempts for this population. The objective of this investigation was to identify predictors of weaning outcome for patients admitted to a chronic ventilator unit (CVU).\nMETHODS: This was a retrospective analysis with prospective validation. The study setting was a 25 bed CVU within a rehabilitation hospital. The training group consisted of 43 patients referred to our facility for weaning after > 3 weeks of mechanical ventilation. A multivariate model to predict weaning outcome was constructed in this group and applied to a prospective group of 31 patients followed during an 18-month period.\nRESULTS: A modified Glasgow Coma Scale (GCS) and the presence of sustained spontaneous respirations (SSR), defined as the presence of 2 breaths recorded above the ventilator settings on four occasions, were highly predictive of weaning success within six months of CVU admission. Patients with a modified GCS > or = 8 were 6.5 times more likely to wean than those with a modified GCS < 8 (95% confidence interval 1.6-26.3) and those with SSR were 25.5 times more likely to wean than those without SSR (95% confidence interval 4.3-51.9).\nCONCLUSIONS: In our population of CVU patients, simple parameters that were available on admission and did not directly reflect cardiopulmonary function were useful predictors of weaning outcome.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/1471-2466-3-3", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1024955", 
        "issn": [
          "1471-2466"
        ], 
        "name": "BMC Pulmonary Medicine", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "3"
      }
    ], 
    "name": "Development and prospective validation of a model for predicting weaning in chronic ventilator dependent patients", 
    "pagination": "3", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "344bd484dede516259ae694f8cc09fdf069669b6f2790bec421b762182124308"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "14614783"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "100968563"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/1471-2466-3-3"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1010976104"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/1471-2466-3-3", 
      "https://app.dimensions.ai/details/publication/pub.1010976104"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T10:02", 
    "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/v90/0000000347_0000000347/records_89822_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2F1471-2466-3-3"
  }
]
 

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.10.1186/1471-2466-3-3'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1471-2466-3-3'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1471-2466-3-3'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1471-2466-3-3'


 

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

137 TRIPLES      21 PREDICATES      46 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/1471-2466-3-3 schema:about anzsrc-for:11
2 anzsrc-for:1103
3 schema:author N9b821f6b741540099eb35d380e851ca0
4 schema:citation https://app.dimensions.ai/details/publication/pub.1082645580
5 https://app.dimensions.ai/details/publication/pub.1083143138
6 https://doi.org/10.1001/archneur.1997.00550170078017
7 https://doi.org/10.1016/s0025-6196(12)61313-5
8 https://doi.org/10.1016/s0140-6736(74)91639-0
9 https://doi.org/10.1097/00005373-199609000-00022
10 https://doi.org/10.1097/00005373-200001000-00013
11 https://doi.org/10.1164/ajrccm.163.3.2003060
12 https://doi.org/10.1177/0310057x9702500407
13 https://doi.org/10.1177/088506668800300607
14 https://doi.org/10.1183/09031936.94.07091645
15 https://doi.org/10.1378/chest.107.2.500
16 https://doi.org/10.1378/chest.110.4.1018
17 https://doi.org/10.1378/chest.111.4.1024
18 https://doi.org/10.1378/chest.113.1.86
19 https://doi.org/10.1378/chest.95.2.398
20 https://doi.org/10.4065/72.1.13
21 schema:datePublished 2003-12
22 schema:datePublishedReg 2003-12-01
23 schema:description BACKGROUND: Approximately ten percent of patients placed on mechanical ventilation during acute illness will require long-term ventilator support. Unfortunately, despite rehabilitation, some will never be liberated from the ventilator. A method of predicting weaning outcomes for these patients could help conserve resources and minimize frustrating failed weaning attempts for this population. The objective of this investigation was to identify predictors of weaning outcome for patients admitted to a chronic ventilator unit (CVU). METHODS: This was a retrospective analysis with prospective validation. The study setting was a 25 bed CVU within a rehabilitation hospital. The training group consisted of 43 patients referred to our facility for weaning after > 3 weeks of mechanical ventilation. A multivariate model to predict weaning outcome was constructed in this group and applied to a prospective group of 31 patients followed during an 18-month period. RESULTS: A modified Glasgow Coma Scale (GCS) and the presence of sustained spontaneous respirations (SSR), defined as the presence of 2 breaths recorded above the ventilator settings on four occasions, were highly predictive of weaning success within six months of CVU admission. Patients with a modified GCS > or = 8 were 6.5 times more likely to wean than those with a modified GCS < 8 (95% confidence interval 1.6-26.3) and those with SSR were 25.5 times more likely to wean than those without SSR (95% confidence interval 4.3-51.9). CONCLUSIONS: In our population of CVU patients, simple parameters that were available on admission and did not directly reflect cardiopulmonary function were useful predictors of weaning outcome.
24 schema:genre research_article
25 schema:inLanguage en
26 schema:isAccessibleForFree true
27 schema:isPartOf N5944dea23f3c4c0eb94d4e0dd6e1f958
28 N7cf37a1bfa5448c79b8be6bed578eff4
29 sg:journal.1024955
30 schema:name Development and prospective validation of a model for predicting weaning in chronic ventilator dependent patients
31 schema:pagination 3
32 schema:productId N0c7eb053da5a48409b3603413c1184a9
33 N63373d037824484cb35aa6106577f891
34 N650e6fa6910e4279aacbbde7b4701d8e
35 Ncd632e2dd26b439aa44cefddd3e225e3
36 Nf2b198a7be074198befb555d2453897c
37 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010976104
38 https://doi.org/10.1186/1471-2466-3-3
39 schema:sdDatePublished 2019-04-11T10:02
40 schema:sdLicense https://scigraph.springernature.com/explorer/license/
41 schema:sdPublisher N86328cde541142539d47424d52e12394
42 schema:url https://link.springer.com/10.1186%2F1471-2466-3-3
43 sgo:license sg:explorer/license/
44 sgo:sdDataset articles
45 rdf:type schema:ScholarlyArticle
46 N0c7eb053da5a48409b3603413c1184a9 schema:name dimensions_id
47 schema:value pub.1010976104
48 rdf:type schema:PropertyValue
49 N2202603c6e96477a844ffb86b377070c rdf:first sg:person.01277223451.20
50 rdf:rest Na57a10c86b7940a7a6ab375f79a4b852
51 N5944dea23f3c4c0eb94d4e0dd6e1f958 schema:issueNumber 1
52 rdf:type schema:PublicationIssue
53 N63373d037824484cb35aa6106577f891 schema:name nlm_unique_id
54 schema:value 100968563
55 rdf:type schema:PropertyValue
56 N650e6fa6910e4279aacbbde7b4701d8e schema:name doi
57 schema:value 10.1186/1471-2466-3-3
58 rdf:type schema:PropertyValue
59 N7cf37a1bfa5448c79b8be6bed578eff4 schema:volumeNumber 3
60 rdf:type schema:PublicationVolume
61 N86328cde541142539d47424d52e12394 schema:name Springer Nature - SN SciGraph project
62 rdf:type schema:Organization
63 N9b821f6b741540099eb35d380e851ca0 rdf:first sg:person.01123144637.18
64 rdf:rest N2202603c6e96477a844ffb86b377070c
65 Na57a10c86b7940a7a6ab375f79a4b852 rdf:first sg:person.0714627711.07
66 rdf:rest rdf:nil
67 Ncd632e2dd26b439aa44cefddd3e225e3 schema:name pubmed_id
68 schema:value 14614783
69 rdf:type schema:PropertyValue
70 Nf2b198a7be074198befb555d2453897c schema:name readcube_id
71 schema:value 344bd484dede516259ae694f8cc09fdf069669b6f2790bec421b762182124308
72 rdf:type schema:PropertyValue
73 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
74 schema:name Medical and Health Sciences
75 rdf:type schema:DefinedTerm
76 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
77 schema:name Clinical Sciences
78 rdf:type schema:DefinedTerm
79 sg:journal.1024955 schema:issn 1471-2466
80 schema:name BMC Pulmonary Medicine
81 rdf:type schema:Periodical
82 sg:person.01123144637.18 schema:affiliation https://www.grid.ac/institutes/grid.429997.8
83 schema:familyName Hendra
84 schema:givenName Katherine P
85 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01123144637.18
86 rdf:type schema:Person
87 sg:person.01277223451.20 schema:affiliation https://www.grid.ac/institutes/grid.67033.31
88 schema:familyName Bonis
89 schema:givenName Peter AL
90 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01277223451.20
91 rdf:type schema:Person
92 sg:person.0714627711.07 schema:affiliation https://www.grid.ac/institutes/grid.475010.7
93 schema:familyName Joyce-Brady
94 schema:givenName Martin
95 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0714627711.07
96 rdf:type schema:Person
97 https://app.dimensions.ai/details/publication/pub.1082645580 schema:CreativeWork
98 https://app.dimensions.ai/details/publication/pub.1083143138 schema:CreativeWork
99 https://doi.org/10.1001/archneur.1997.00550170078017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041229081
100 rdf:type schema:CreativeWork
101 https://doi.org/10.1016/s0025-6196(12)61313-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032674712
102 rdf:type schema:CreativeWork
103 https://doi.org/10.1016/s0140-6736(74)91639-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023372874
104 rdf:type schema:CreativeWork
105 https://doi.org/10.1097/00005373-199609000-00022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060208536
106 rdf:type schema:CreativeWork
107 https://doi.org/10.1097/00005373-200001000-00013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009300458
108 rdf:type schema:CreativeWork
109 https://doi.org/10.1164/ajrccm.163.3.2003060 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036508234
110 rdf:type schema:CreativeWork
111 https://doi.org/10.1177/0310057x9702500407 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083143138
112 rdf:type schema:CreativeWork
113 https://doi.org/10.1177/088506668800300607 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033075377
114 rdf:type schema:CreativeWork
115 https://doi.org/10.1183/09031936.94.07091645 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003532395
116 rdf:type schema:CreativeWork
117 https://doi.org/10.1378/chest.107.2.500 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008924453
118 rdf:type schema:CreativeWork
119 https://doi.org/10.1378/chest.110.4.1018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022492189
120 rdf:type schema:CreativeWork
121 https://doi.org/10.1378/chest.111.4.1024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003185099
122 rdf:type schema:CreativeWork
123 https://doi.org/10.1378/chest.113.1.86 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033234137
124 rdf:type schema:CreativeWork
125 https://doi.org/10.1378/chest.95.2.398 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005699236
126 rdf:type schema:CreativeWork
127 https://doi.org/10.4065/72.1.13 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021936971
128 rdf:type schema:CreativeWork
129 https://www.grid.ac/institutes/grid.429997.8 schema:alternateName Tufts University
130 schema:name Division of Pulmonary/Critical Care Medicine, Saint Elizabeth's Medical Center, Tuft's University School of Medicine, 02135, Boston, MA, USA
131 rdf:type schema:Organization
132 https://www.grid.ac/institutes/grid.475010.7 schema:alternateName Boston University School of Medicine
133 schema:name Pulmonary Center Boston University School of Medicine, Boston, MA, USA
134 rdf:type schema:Organization
135 https://www.grid.ac/institutes/grid.67033.31 schema:alternateName Tufts Medical Center
136 schema:name Clinical Care Research Division, New England Medical Center, Tuft's University School of Medicine, Boston, MA, USA
137 rdf:type schema:Organization
 




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


...