Bias flow rate and ventilation efficiency during adult high-frequency oscillatory ventilation: a lung model study View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Osamu Nagano, Tetsuya Yumoto, Atsunori Nishimatsu, Shunsuke Kanazawa, Takahisa Fujita, Sunao Asaba, Hideo Yamanouchi

ABSTRACT

BACKGROUND: Bias flow (BF) is essential to maintain mean airway pressure (MAP) and to washout carbon dioxide (CO2) from the oscillator circuit during high-frequency oscillatory ventilation (HFOV). If the BF rate is inadequate, substantial CO2 rebreathing could occur and ventilation efficiency could worsen. With lower ventilation efficiency, the required stroke volume (SV) would increase in order to obtain the same alveolar ventilation with constant frequency. The aim of this study was to assess the effect of BF rate on ventilation efficiency during adult HFOV. METHODS: The R100 oscillator (Metran, Japan) was connected to an original lung model internally equipped with a simulated bronchial tree. The actual SV was measured with a flow sensor placed at the Y-piece. Carbon dioxide (CO2) was continuously insufflated into the lung model ([Formula: see text]CO2), and the partial pressure of CO2 (PCO2) in the lung model was monitored. Alveolar ventilation ([Formula: see text]A) was estimated as [Formula: see text]CO2 divided by the stabilized value of PCO2. [Formula: see text]A was evaluated by setting SV from 80 to 180 mL (10 mL increments, n = 5) at a frequency of 8 Hz, a MAP of 25 cmH2O, and a BF of 10, 20, 30, and 40 L/min (study 1). Ventilation efficiency was calculated as [Formula: see text]A divided by the actual minute volume. The experiment was also performed with an actual SV of 80, 100, and 120 mL and a BF from 10 to 60 L/min (10 L/min increments: study 2). RESULTS: Study 1: With the same setting SV, the [Formula: see text]A with a BF of 20 L/min or more was significantly higher than that with a BF of 10 L/min. Study 2: With the same actual SV, the [Formula: see text]A and the ventilation efficiency with a BF of 30 L/min or more were significantly higher than those with a BF of 10 or 20 L/min. CONCLUSIONS: Increasing BF up to 30 L/min or more improved ventilation efficiency in the R100 oscillator. More... »

PAGES

11

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s40635-018-0176-3

DOI

http://dx.doi.org/10.1186/s40635-018-0176-3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1103450750

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29675732


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/2008/1117", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Public Health and Health Services", 
        "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": "K\u014dchi University", 
          "id": "https://www.grid.ac/institutes/grid.278276.e", 
          "name": [
            "Department of Disaster and Emergency Medicine, Kochi University Medical School, 185-1, Kohasu, Oko-cho, 783-8505, Nankoku, Kochi, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nagano", 
        "givenName": "Osamu", 
        "id": "sg:person.011545624611.06", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011545624611.06"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Okayama University Hospital", 
          "id": "https://www.grid.ac/institutes/grid.412342.2", 
          "name": [
            "Advanced Emergency and Critical Care Medical Center, Okayama University Hospital, 2-5-1, Shikata-cho, Kita-ku, 700-8558, Okayama, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yumoto", 
        "givenName": "Tetsuya", 
        "id": "sg:person.01043577340.32", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01043577340.32"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "K\u014dchi University", 
          "id": "https://www.grid.ac/institutes/grid.278276.e", 
          "name": [
            "Center for Innovative and Translational Medicine, Kochi University Medical School, 185-1, Kohasu, Oko-cho, 783-8505, Nankoku, Kochi, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nishimatsu", 
        "givenName": "Atsunori", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "K\u014dchi University", 
          "id": "https://www.grid.ac/institutes/grid.278276.e", 
          "name": [
            "Center for Innovative and Translational Medicine, Kochi University Medical School, 185-1, Kohasu, Oko-cho, 783-8505, Nankoku, Kochi, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kanazawa", 
        "givenName": "Shunsuke", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "K\u014dchi University", 
          "id": "https://www.grid.ac/institutes/grid.278276.e", 
          "name": [
            "Center for Innovative and Translational Medicine, Kochi University Medical School, 185-1, Kohasu, Oko-cho, 783-8505, Nankoku, Kochi, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fujita", 
        "givenName": "Takahisa", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "K\u014dchi University", 
          "id": "https://www.grid.ac/institutes/grid.278276.e", 
          "name": [
            "Center for Innovative and Translational Medicine, Kochi University Medical School, 185-1, Kohasu, Oko-cho, 783-8505, Nankoku, Kochi, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Asaba", 
        "givenName": "Sunao", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "K\u014dchi University", 
          "id": "https://www.grid.ac/institutes/grid.278276.e", 
          "name": [
            "Department of Disaster and Emergency Medicine, Kochi University Medical School, 185-1, Kohasu, Oko-cho, 783-8505, Nankoku, Kochi, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yamanouchi", 
        "givenName": "Hideo", 
        "id": "sg:person.01005001212.00", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01005001212.00"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1097/01.ccm.0000269026.40739.2e", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007633838"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.ccm.0000269026.40739.2e", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007633838"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0034-5687(85)90109-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012858215"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/aln.0b013e31829419a6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015856704"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/aln.0b013e31829419a6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015856704"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1164/rccm.2108052", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019464336"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1164/ajrccm/138.3.720", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021645289"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejm200005043421801", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026999880"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.ccm.0000155789.52984.b7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030213130"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.ccm.0000155789.52984.b7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030213130"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.ccm.0000266586.04676.55", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031864259"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.ccm.0000266586.04676.55", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031864259"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/pcc.0b013e3182257b99", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032305931"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/pcc.0b013e3182257b99", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032305931"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00003246-199422091-00003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036296790"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00003246-199422091-00003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036296790"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa1215716", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037533452"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00003246-200301000-00035", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041294558"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00003246-200301000-00035", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041294558"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00540-010-1032-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044357717", 
          "https://doi.org/10.1007/s00540-010-1032-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00540-010-1032-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044357717", 
          "https://doi.org/10.1007/s00540-010-1032-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00003246-199706000-00008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060171983"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00003246-199706000-00008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060171983"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00003246-199706000-00008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060171983"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4187/respcare.01563", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072348444"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1078612532", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1079018040", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-12", 
    "datePublishedReg": "2018-12-01", 
    "description": "BACKGROUND: Bias flow (BF) is essential to maintain mean airway pressure (MAP) and to washout carbon dioxide (CO2) from the oscillator circuit during high-frequency oscillatory ventilation (HFOV). If the BF rate is inadequate, substantial CO2 rebreathing could occur and ventilation efficiency could worsen. With lower ventilation efficiency, the required stroke volume (SV) would increase in order to obtain the same alveolar ventilation with constant frequency. The aim of this study was to assess the effect of BF rate on ventilation efficiency during adult HFOV.\nMETHODS: The R100 oscillator (Metran, Japan) was connected to an original lung model internally equipped with a simulated bronchial tree. The actual SV was measured with a flow sensor placed at the Y-piece. Carbon dioxide (CO2) was continuously insufflated into the lung model ([Formula: see text]CO2), and the partial pressure of CO2 (PCO2) in the lung model was monitored. Alveolar ventilation ([Formula: see text]A) was estimated as [Formula: see text]CO2 divided by the stabilized value of PCO2. [Formula: see text]A was evaluated by setting SV from 80 to 180\u00a0mL (10\u00a0mL increments, n\u2009=\u20095) at a frequency of 8\u00a0Hz, a MAP of 25\u00a0cmH2O, and a BF of 10, 20, 30, and 40\u00a0L/min (study 1). Ventilation efficiency was calculated as [Formula: see text]A divided by the actual minute volume. The experiment was also performed with an actual SV of 80, 100, and 120\u00a0mL and a BF from 10 to 60\u00a0L/min (10\u00a0L/min increments: study 2).\nRESULTS: Study 1: With the same setting SV, the [Formula: see text]A with a BF of 20\u00a0L/min or more was significantly higher than that with a BF of 10\u00a0L/min. Study 2: With the same actual SV, the [Formula: see text]A and the ventilation efficiency with a BF of 30\u00a0L/min or more were significantly higher than those with a BF of 10 or 20\u00a0L/min.\nCONCLUSIONS: Increasing BF up to 30\u00a0L/min or more improved ventilation efficiency in the R100 oscillator.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s40635-018-0176-3", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1050905", 
        "issn": [
          "2197-425X"
        ], 
        "name": "Intensive Care Medicine Experimental", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "6"
      }
    ], 
    "name": "Bias flow rate and ventilation efficiency during adult high-frequency oscillatory ventilation: a lung model study", 
    "pagination": "11", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "01d72b447dcfcd594b4adac8196fb0608830f6bf1d4c5d0aaad021a424fd976f"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "29675732"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101645149"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s40635-018-0176-3"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1103450750"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s40635-018-0176-3", 
      "https://app.dimensions.ai/details/publication/pub.1103450750"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T09:36", 
    "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/v90/0000000346_0000000346/records_99821_00000004.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs40635-018-0176-3"
  }
]
 

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/s40635-018-0176-3'

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/s40635-018-0176-3'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s40635-018-0176-3'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s40635-018-0176-3'


 

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

160 TRIPLES      21 PREDICATES      46 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s40635-018-0176-3 schema:about anzsrc-for:11
2 anzsrc-for:1117
3 schema:author N6a39df36c4174b79b1884dd509339d3b
4 schema:citation sg:pub.10.1007/s00540-010-1032-0
5 https://app.dimensions.ai/details/publication/pub.1078612532
6 https://app.dimensions.ai/details/publication/pub.1079018040
7 https://doi.org/10.1016/0034-5687(85)90109-4
8 https://doi.org/10.1056/nejm200005043421801
9 https://doi.org/10.1056/nejmoa1215716
10 https://doi.org/10.1097/00003246-199422091-00003
11 https://doi.org/10.1097/00003246-199706000-00008
12 https://doi.org/10.1097/00003246-200301000-00035
13 https://doi.org/10.1097/01.ccm.0000155789.52984.b7
14 https://doi.org/10.1097/01.ccm.0000266586.04676.55
15 https://doi.org/10.1097/01.ccm.0000269026.40739.2e
16 https://doi.org/10.1097/aln.0b013e31829419a6
17 https://doi.org/10.1097/pcc.0b013e3182257b99
18 https://doi.org/10.1164/ajrccm/138.3.720
19 https://doi.org/10.1164/rccm.2108052
20 https://doi.org/10.4187/respcare.01563
21 schema:datePublished 2018-12
22 schema:datePublishedReg 2018-12-01
23 schema:description BACKGROUND: Bias flow (BF) is essential to maintain mean airway pressure (MAP) and to washout carbon dioxide (CO2) from the oscillator circuit during high-frequency oscillatory ventilation (HFOV). If the BF rate is inadequate, substantial CO2 rebreathing could occur and ventilation efficiency could worsen. With lower ventilation efficiency, the required stroke volume (SV) would increase in order to obtain the same alveolar ventilation with constant frequency. The aim of this study was to assess the effect of BF rate on ventilation efficiency during adult HFOV. METHODS: The R100 oscillator (Metran, Japan) was connected to an original lung model internally equipped with a simulated bronchial tree. The actual SV was measured with a flow sensor placed at the Y-piece. Carbon dioxide (CO2) was continuously insufflated into the lung model ([Formula: see text]CO2), and the partial pressure of CO2 (PCO2) in the lung model was monitored. Alveolar ventilation ([Formula: see text]A) was estimated as [Formula: see text]CO2 divided by the stabilized value of PCO2. [Formula: see text]A was evaluated by setting SV from 80 to 180 mL (10 mL increments, n = 5) at a frequency of 8 Hz, a MAP of 25 cmH2O, and a BF of 10, 20, 30, and 40 L/min (study 1). Ventilation efficiency was calculated as [Formula: see text]A divided by the actual minute volume. The experiment was also performed with an actual SV of 80, 100, and 120 mL and a BF from 10 to 60 L/min (10 L/min increments: study 2). RESULTS: Study 1: With the same setting SV, the [Formula: see text]A with a BF of 20 L/min or more was significantly higher than that with a BF of 10 L/min. Study 2: With the same actual SV, the [Formula: see text]A and the ventilation efficiency with a BF of 30 L/min or more were significantly higher than those with a BF of 10 or 20 L/min. CONCLUSIONS: Increasing BF up to 30 L/min or more improved ventilation efficiency in the R100 oscillator.
24 schema:genre research_article
25 schema:inLanguage en
26 schema:isAccessibleForFree true
27 schema:isPartOf N6ae1f328b0d7400e8c52e79e6ac30dce
28 Nd522be644b694c1d809105441b9632d8
29 sg:journal.1050905
30 schema:name Bias flow rate and ventilation efficiency during adult high-frequency oscillatory ventilation: a lung model study
31 schema:pagination 11
32 schema:productId N367f55602da24737b8a2dabac7c7431d
33 N4361334601b04c5a8825596992f2ca26
34 N815982ebb4e14cc09917f326d881c3f7
35 N8c26a600ce3044ce9cdda1709fb7723a
36 Ndca99c870b8048b7ab4df48012cbae8c
37 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103450750
38 https://doi.org/10.1186/s40635-018-0176-3
39 schema:sdDatePublished 2019-04-11T09:36
40 schema:sdLicense https://scigraph.springernature.com/explorer/license/
41 schema:sdPublisher N7ca16bbd926c43519d06c8e7b80afc3b
42 schema:url https://link.springer.com/10.1186%2Fs40635-018-0176-3
43 sgo:license sg:explorer/license/
44 sgo:sdDataset articles
45 rdf:type schema:ScholarlyArticle
46 N2cb2659354434e978bb6c3ba47cf7282 rdf:first sg:person.01043577340.32
47 rdf:rest Nbec7d376307d424b9c826e325554535d
48 N367f55602da24737b8a2dabac7c7431d schema:name readcube_id
49 schema:value 01d72b447dcfcd594b4adac8196fb0608830f6bf1d4c5d0aaad021a424fd976f
50 rdf:type schema:PropertyValue
51 N4361334601b04c5a8825596992f2ca26 schema:name nlm_unique_id
52 schema:value 101645149
53 rdf:type schema:PropertyValue
54 N457263a3e7ea4dbca0d7b6ebb3305158 rdf:first sg:person.01005001212.00
55 rdf:rest rdf:nil
56 N6a0f7277fce84ce09f923c0e6a258706 schema:affiliation https://www.grid.ac/institutes/grid.278276.e
57 schema:familyName Fujita
58 schema:givenName Takahisa
59 rdf:type schema:Person
60 N6a39df36c4174b79b1884dd509339d3b rdf:first sg:person.011545624611.06
61 rdf:rest N2cb2659354434e978bb6c3ba47cf7282
62 N6ae1f328b0d7400e8c52e79e6ac30dce schema:volumeNumber 6
63 rdf:type schema:PublicationVolume
64 N727c9a20c4d34007a8ef1bcc4af3eb89 rdf:first Nff3de31d805b4772841bdf3f88301533
65 rdf:rest Na4c459ca2fa14e4597f188c466be32ff
66 N7ca16bbd926c43519d06c8e7b80afc3b schema:name Springer Nature - SN SciGraph project
67 rdf:type schema:Organization
68 N815982ebb4e14cc09917f326d881c3f7 schema:name doi
69 schema:value 10.1186/s40635-018-0176-3
70 rdf:type schema:PropertyValue
71 N8c26a600ce3044ce9cdda1709fb7723a schema:name dimensions_id
72 schema:value pub.1103450750
73 rdf:type schema:PropertyValue
74 N95b3c55e3c274b9caf7abdf536ad67e8 rdf:first Nb149604926ff42f784699f3f3d481e83
75 rdf:rest N457263a3e7ea4dbca0d7b6ebb3305158
76 Na4c459ca2fa14e4597f188c466be32ff rdf:first N6a0f7277fce84ce09f923c0e6a258706
77 rdf:rest N95b3c55e3c274b9caf7abdf536ad67e8
78 Nb149604926ff42f784699f3f3d481e83 schema:affiliation https://www.grid.ac/institutes/grid.278276.e
79 schema:familyName Asaba
80 schema:givenName Sunao
81 rdf:type schema:Person
82 Nbec7d376307d424b9c826e325554535d rdf:first Nebc239f9336047dba7425bbf8edd3c4c
83 rdf:rest N727c9a20c4d34007a8ef1bcc4af3eb89
84 Nd522be644b694c1d809105441b9632d8 schema:issueNumber 1
85 rdf:type schema:PublicationIssue
86 Ndca99c870b8048b7ab4df48012cbae8c schema:name pubmed_id
87 schema:value 29675732
88 rdf:type schema:PropertyValue
89 Nebc239f9336047dba7425bbf8edd3c4c schema:affiliation https://www.grid.ac/institutes/grid.278276.e
90 schema:familyName Nishimatsu
91 schema:givenName Atsunori
92 rdf:type schema:Person
93 Nff3de31d805b4772841bdf3f88301533 schema:affiliation https://www.grid.ac/institutes/grid.278276.e
94 schema:familyName Kanazawa
95 schema:givenName Shunsuke
96 rdf:type schema:Person
97 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
98 schema:name Medical and Health Sciences
99 rdf:type schema:DefinedTerm
100 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
101 schema:name Public Health and Health Services
102 rdf:type schema:DefinedTerm
103 sg:journal.1050905 schema:issn 2197-425X
104 schema:name Intensive Care Medicine Experimental
105 rdf:type schema:Periodical
106 sg:person.01005001212.00 schema:affiliation https://www.grid.ac/institutes/grid.278276.e
107 schema:familyName Yamanouchi
108 schema:givenName Hideo
109 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01005001212.00
110 rdf:type schema:Person
111 sg:person.01043577340.32 schema:affiliation https://www.grid.ac/institutes/grid.412342.2
112 schema:familyName Yumoto
113 schema:givenName Tetsuya
114 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01043577340.32
115 rdf:type schema:Person
116 sg:person.011545624611.06 schema:affiliation https://www.grid.ac/institutes/grid.278276.e
117 schema:familyName Nagano
118 schema:givenName Osamu
119 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011545624611.06
120 rdf:type schema:Person
121 sg:pub.10.1007/s00540-010-1032-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044357717
122 https://doi.org/10.1007/s00540-010-1032-0
123 rdf:type schema:CreativeWork
124 https://app.dimensions.ai/details/publication/pub.1078612532 schema:CreativeWork
125 https://app.dimensions.ai/details/publication/pub.1079018040 schema:CreativeWork
126 https://doi.org/10.1016/0034-5687(85)90109-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012858215
127 rdf:type schema:CreativeWork
128 https://doi.org/10.1056/nejm200005043421801 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026999880
129 rdf:type schema:CreativeWork
130 https://doi.org/10.1056/nejmoa1215716 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037533452
131 rdf:type schema:CreativeWork
132 https://doi.org/10.1097/00003246-199422091-00003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036296790
133 rdf:type schema:CreativeWork
134 https://doi.org/10.1097/00003246-199706000-00008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060171983
135 rdf:type schema:CreativeWork
136 https://doi.org/10.1097/00003246-200301000-00035 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041294558
137 rdf:type schema:CreativeWork
138 https://doi.org/10.1097/01.ccm.0000155789.52984.b7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030213130
139 rdf:type schema:CreativeWork
140 https://doi.org/10.1097/01.ccm.0000266586.04676.55 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031864259
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1097/01.ccm.0000269026.40739.2e schema:sameAs https://app.dimensions.ai/details/publication/pub.1007633838
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1097/aln.0b013e31829419a6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015856704
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1097/pcc.0b013e3182257b99 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032305931
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1164/ajrccm/138.3.720 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021645289
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1164/rccm.2108052 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019464336
151 rdf:type schema:CreativeWork
152 https://doi.org/10.4187/respcare.01563 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072348444
153 rdf:type schema:CreativeWork
154 https://www.grid.ac/institutes/grid.278276.e schema:alternateName Kōchi University
155 schema:name Center for Innovative and Translational Medicine, Kochi University Medical School, 185-1, Kohasu, Oko-cho, 783-8505, Nankoku, Kochi, Japan
156 Department of Disaster and Emergency Medicine, Kochi University Medical School, 185-1, Kohasu, Oko-cho, 783-8505, Nankoku, Kochi, Japan
157 rdf:type schema:Organization
158 https://www.grid.ac/institutes/grid.412342.2 schema:alternateName Okayama University Hospital
159 schema:name Advanced Emergency and Critical Care Medical Center, Okayama University Hospital, 2-5-1, Shikata-cho, Kita-ku, 700-8558, Okayama, Japan
160 rdf:type schema:Organization
 




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


...