Cardiac output measurement in liver transplantation patients using pulmonary and transpulmonary thermodilution: a comparative study View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-04

AUTHORS

Luigi Vetrugno, Elena Bignami, Federico Barbariol, Nicola Langiano, Francesco De Lorenzo, Carola Matellon, Giuseppe Menegoz, Giorgio Della Rocca

ABSTRACT

During liver transplantation surgery, the pulmonary artery catheter-despite its invasiveness-remains the gold standard for measuring cardiac output. However, the new EV1000 transpulmonary thermodilution calibration technique was recently introduced into the market by Edwards LifeSciences. We designed a single-center prospective observational study to determine if these two techniques for measuring cardiac output are interchangeable in this group of patients. Patients were monitored with both pulmonary artery catheter and the EV1000 system. Simultaneous intermittent cardiac output measurements were collected at predefined steps: after induction of anesthesia (T1), during the anhepatic phase (T2), after liver reperfusion (T3), and at the end of the surgery (T4). The 4-quadrant and polar plot techniques were used to assess trending ability between the two methods. We enrolled 49 patients who underwent orthotopic liver transplantation surgery. We analyzed a total of 588 paired measurements. The mean bias between pulmonary artery catheter and the EV1000 system was 0.35 L/min with 95% limits of agreement of - 2.30 to 3.01 L/min, and an overall percentage error of 35%. The concordance rate between the two techniques in 4-quadrant plot analysis was 65% overall. The concordance rate of the polar plot showed an overall value of 83% for all pairs. In the present study, in liver transplantation patients we found that intermittent cardiac output monitoring with EV1000 system showed a percentage error compared with pulmonary artery catheter in the acceptable threshold of 45%. On the others hand, our results showed a questionable trending ability between the two techniques. More... »

PAGES

223-231

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10877-018-0149-9

DOI

http://dx.doi.org/10.1007/s10877-018-0149-9

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1103781706

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29725794


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/2008/1102", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Cardiorespiratory Medicine and Haematology", 
        "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": "University of Udine", 
          "id": "https://www.grid.ac/institutes/grid.5390.f", 
          "name": [
            "Anesthesiology and Intensive Care Clinic, Department of Medicine, University of Udine, P.le S. Maria della Misericordia n.15, 33100, Udine, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Vetrugno", 
        "givenName": "Luigi", 
        "id": "sg:person.01346773513.43", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01346773513.43"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Parma", 
          "id": "https://www.grid.ac/institutes/grid.10383.39", 
          "name": [
            "Anesthesiology, Critical Care and Pain Medicine Division, Department of Medicine and Surgery, University of Parma, Viale Gramsci 14, 43126, Parma, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bignami", 
        "givenName": "Elena", 
        "id": "sg:person.01332744233.07", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01332744233.07"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Anesthesiology and Intensive Care 1, University-Hospital of Udine, P.le S. Maria della Misericordia n.15, 33100, Udine, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Barbariol", 
        "givenName": "Federico", 
        "id": "sg:person.01221265104.42", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01221265104.42"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Udine", 
          "id": "https://www.grid.ac/institutes/grid.5390.f", 
          "name": [
            "Anesthesiology and Intensive Care Clinic, Department of Medicine, University of Udine, P.le S. Maria della Misericordia n.15, 33100, Udine, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Langiano", 
        "givenName": "Nicola", 
        "id": "sg:person.01271267076.70", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01271267076.70"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Udine", 
          "id": "https://www.grid.ac/institutes/grid.5390.f", 
          "name": [
            "Anesthesiology and Intensive Care Clinic, Department of Medicine, University of Udine, P.le S. Maria della Misericordia n.15, 33100, Udine, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "De Lorenzo", 
        "givenName": "Francesco", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Anesthesiology and Intensive Care 1, University-Hospital of Udine, P.le S. Maria della Misericordia n.15, 33100, Udine, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Matellon", 
        "givenName": "Carola", 
        "id": "sg:person.014140771374.25", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014140771374.25"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Statistical Physics, SISSA, University of Trieste, via Bonomea 265, 34136, Trieste, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Menegoz", 
        "givenName": "Giuseppe", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Udine", 
          "id": "https://www.grid.ac/institutes/grid.5390.f", 
          "name": [
            "Anesthesiology and Intensive Care Clinic, Department of Medicine, University of Udine, P.le S. Maria della Misericordia n.15, 33100, Udine, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Della Rocca", 
        "givenName": "Giorgio", 
        "id": "sg:person.0717435457.77", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0717435457.77"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1371/journal.pone.0164521", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006849604"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/mot.0b013e3283005832", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012618290"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/mot.0b013e3283005832", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012618290"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1053/j.jvca.2011.01.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014004490"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/aln.0b013e3181ee3130", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015637019"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/aln.0b013e3181ee3130", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015637019"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/aln.0b013e3181ee3130", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015637019"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1213/ane.0b013e3181f08a5b", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017390424"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1213/ane.0b013e3181f08a5b", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017390424"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1213/ane.0b013e3181f08a5b", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017390424"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1213/ane.0b013e3181f08a5b", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017390424"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.transproceed.2009.02.046", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018391769"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00000658-198911000-00013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023172271"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00000658-198911000-00013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023172271"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0041-1345(03)00602-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023815350"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0041-1345(03)00602-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023815350"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/cc7129", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024787401", 
          "https://doi.org/10.1186/cc7129"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/hrt.55.1.14", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026676120"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1499-3872(14)60250-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029273940"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/lt.21689", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029682361"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1399-0012.2011.01568.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032944922"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3389/fmed.2016.00003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034296574"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3389/fmed.2016.00003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034296574"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jclinane.2013.04.017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036140242"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0265021505001717", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037403691"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0265021505001717", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037403691"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0265021505001717", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037403691"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/lt.21543", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038789973"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jacc.2009.12.075", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039983018"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1009982611386", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040257350", 
          "https://doi.org/10.1023/a:1009982611386"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(86)90837-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040287180"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(86)90837-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040287180"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.res.10.1.17", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040485999"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/cc11366", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040657833", 
          "https://doi.org/10.1186/cc11366"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1053/j.jvca.2015.03.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044725935"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bja/aet116", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048254444"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2044.1997.079-az0077.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049849014"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2044.1997.079-az0077.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049849014"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/cc9332", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050270560", 
          "https://doi.org/10.1186/cc9332"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/aln.0b013e31823d7784", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060338701"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/aln.0b013e31823d7784", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060338701"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/aln.0b013e31823d7784", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060338701"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1078603200", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1078871161", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1081943269", 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13089-017-0067-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1086097995", 
          "https://doi.org/10.1186/s13089-017-0067-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13089-017-0067-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1086097995", 
          "https://doi.org/10.1186/s13089-017-0067-y"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-04", 
    "datePublishedReg": "2019-04-01", 
    "description": "During liver transplantation surgery, the pulmonary artery catheter-despite its invasiveness-remains the gold standard for measuring cardiac output. However, the new EV1000 transpulmonary thermodilution calibration technique was recently introduced into the market by Edwards LifeSciences. We designed a single-center prospective observational study to determine if these two techniques for measuring cardiac output are interchangeable in this group of patients. Patients were monitored with both pulmonary artery catheter and the EV1000 system. Simultaneous intermittent cardiac output measurements were collected at predefined steps: after induction of anesthesia (T1), during the anhepatic phase (T2), after liver reperfusion (T3), and at the end of the surgery (T4). The 4-quadrant and polar plot techniques were used to assess trending ability between the two methods. We enrolled 49 patients who underwent orthotopic liver transplantation surgery. We analyzed a total of 588 paired measurements. The mean bias between pulmonary artery catheter and the EV1000 system was 0.35\u00a0L/min with 95% limits of agreement of -\u20092.30 to 3.01\u00a0L/min, and an overall percentage error of 35%. The concordance rate between the two techniques in 4-quadrant plot analysis was 65% overall. The concordance rate of the polar plot showed an overall value of 83% for all pairs. In the present study, in liver transplantation patients we found that intermittent cardiac output monitoring with EV1000 system showed a percentage error compared with pulmonary artery catheter in the acceptable threshold of 45%. On the others hand, our results showed a questionable trending ability between the two techniques.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10877-018-0149-9", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1118054", 
        "issn": [
          "1387-1307", 
          "1573-2614"
        ], 
        "name": "Journal of Clinical Monitoring and Computing", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "33"
      }
    ], 
    "name": "Cardiac output measurement in liver transplantation patients using pulmonary and transpulmonary thermodilution: a comparative study", 
    "pagination": "223-231", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10877-018-0149-9"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "24b20fdf9ccc55e3bf4ef20cfd3e4f9193758d0a5caeffa3519a4b0fda4238e1"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1103781706"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9806357"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "29725794"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10877-018-0149-9", 
      "https://app.dimensions.ai/details/publication/pub.1103781706"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-15T09:01", 
    "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/v90/0000000375_0000000375/records_91444_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs10877-018-0149-9"
  }
]
 

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.10.1007/s10877-018-0149-9'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10877-018-0149-9'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10877-018-0149-9'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10877-018-0149-9'


 

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

220 TRIPLES      21 PREDICATES      60 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10877-018-0149-9 schema:about anzsrc-for:11
2 anzsrc-for:1102
3 schema:author N060bf58482604301847273d590d54921
4 schema:citation sg:pub.10.1023/a:1009982611386
5 sg:pub.10.1186/cc11366
6 sg:pub.10.1186/cc7129
7 sg:pub.10.1186/cc9332
8 sg:pub.10.1186/s13089-017-0067-y
9 https://app.dimensions.ai/details/publication/pub.1078603200
10 https://app.dimensions.ai/details/publication/pub.1078871161
11 https://app.dimensions.ai/details/publication/pub.1081943269
12 https://doi.org/10.1002/lt.21543
13 https://doi.org/10.1002/lt.21689
14 https://doi.org/10.1016/j.jacc.2009.12.075
15 https://doi.org/10.1016/j.jclinane.2013.04.017
16 https://doi.org/10.1016/j.transproceed.2009.02.046
17 https://doi.org/10.1016/s0041-1345(03)00602-x
18 https://doi.org/10.1016/s0140-6736(86)90837-8
19 https://doi.org/10.1016/s1499-3872(14)60250-2
20 https://doi.org/10.1017/s0265021505001717
21 https://doi.org/10.1053/j.jvca.2011.01.003
22 https://doi.org/10.1053/j.jvca.2015.03.013
23 https://doi.org/10.1093/bja/aet116
24 https://doi.org/10.1097/00000658-198911000-00013
25 https://doi.org/10.1097/aln.0b013e3181ee3130
26 https://doi.org/10.1097/aln.0b013e31823d7784
27 https://doi.org/10.1097/mot.0b013e3283005832
28 https://doi.org/10.1111/j.1365-2044.1997.079-az0077.x
29 https://doi.org/10.1111/j.1399-0012.2011.01568.x
30 https://doi.org/10.1136/hrt.55.1.14
31 https://doi.org/10.1161/01.res.10.1.17
32 https://doi.org/10.1213/ane.0b013e3181f08a5b
33 https://doi.org/10.1371/journal.pone.0164521
34 https://doi.org/10.3389/fmed.2016.00003
35 schema:datePublished 2019-04
36 schema:datePublishedReg 2019-04-01
37 schema:description During liver transplantation surgery, the pulmonary artery catheter-despite its invasiveness-remains the gold standard for measuring cardiac output. However, the new EV1000 transpulmonary thermodilution calibration technique was recently introduced into the market by Edwards LifeSciences. We designed a single-center prospective observational study to determine if these two techniques for measuring cardiac output are interchangeable in this group of patients. Patients were monitored with both pulmonary artery catheter and the EV1000 system. Simultaneous intermittent cardiac output measurements were collected at predefined steps: after induction of anesthesia (T1), during the anhepatic phase (T2), after liver reperfusion (T3), and at the end of the surgery (T4). The 4-quadrant and polar plot techniques were used to assess trending ability between the two methods. We enrolled 49 patients who underwent orthotopic liver transplantation surgery. We analyzed a total of 588 paired measurements. The mean bias between pulmonary artery catheter and the EV1000 system was 0.35 L/min with 95% limits of agreement of - 2.30 to 3.01 L/min, and an overall percentage error of 35%. The concordance rate between the two techniques in 4-quadrant plot analysis was 65% overall. The concordance rate of the polar plot showed an overall value of 83% for all pairs. In the present study, in liver transplantation patients we found that intermittent cardiac output monitoring with EV1000 system showed a percentage error compared with pulmonary artery catheter in the acceptable threshold of 45%. On the others hand, our results showed a questionable trending ability between the two techniques.
38 schema:genre research_article
39 schema:inLanguage en
40 schema:isAccessibleForFree false
41 schema:isPartOf N3b1a9b28517941969cca88dd1e2e9dc3
42 Na2f92cfea54c4eed995d696fcceaea81
43 sg:journal.1118054
44 schema:name Cardiac output measurement in liver transplantation patients using pulmonary and transpulmonary thermodilution: a comparative study
45 schema:pagination 223-231
46 schema:productId N0429bdf9799b4609ab1d9711692a71e0
47 N1551f8eb227f4287bbe000fa885f2b15
48 N26de0a5a47d546fa9bc2e95552666f39
49 N3bc2ec683d1047b699ce959458def0ab
50 N5414bb3152a540e0aba9fefcf8a18a60
51 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103781706
52 https://doi.org/10.1007/s10877-018-0149-9
53 schema:sdDatePublished 2019-04-15T09:01
54 schema:sdLicense https://scigraph.springernature.com/explorer/license/
55 schema:sdPublisher Ndca18519d3d9407088d094981575656a
56 schema:url https://link.springer.com/10.1007%2Fs10877-018-0149-9
57 sgo:license sg:explorer/license/
58 sgo:sdDataset articles
59 rdf:type schema:ScholarlyArticle
60 N0429bdf9799b4609ab1d9711692a71e0 schema:name pubmed_id
61 schema:value 29725794
62 rdf:type schema:PropertyValue
63 N060bf58482604301847273d590d54921 rdf:first sg:person.01346773513.43
64 rdf:rest N86e08d28bb9b47339ecf16cc4366eaab
65 N1551f8eb227f4287bbe000fa885f2b15 schema:name nlm_unique_id
66 schema:value 9806357
67 rdf:type schema:PropertyValue
68 N188494c99a7f4b25a873a5a1147378ae rdf:first sg:person.0717435457.77
69 rdf:rest rdf:nil
70 N1c6e7e55ed1a43b5a7eab4541c3a94ec rdf:first N285abd42391f48f29e4a6ec933df3a0c
71 rdf:rest N9e5722b35e0342a48394343e3f11e20d
72 N1d7b3b57a8c54266a4d334c4e031006b rdf:first sg:person.01221265104.42
73 rdf:rest N55821010527b47bd81851dd8df6c6b40
74 N26de0a5a47d546fa9bc2e95552666f39 schema:name readcube_id
75 schema:value 24b20fdf9ccc55e3bf4ef20cfd3e4f9193758d0a5caeffa3519a4b0fda4238e1
76 rdf:type schema:PropertyValue
77 N285abd42391f48f29e4a6ec933df3a0c schema:affiliation https://www.grid.ac/institutes/grid.5390.f
78 schema:familyName De Lorenzo
79 schema:givenName Francesco
80 rdf:type schema:Person
81 N2fba92e2fffd4b0f9f859b56bc7e0cb9 schema:affiliation N7ee7d7a1a32c4f26b17373c7d9450b45
82 schema:familyName Menegoz
83 schema:givenName Giuseppe
84 rdf:type schema:Person
85 N3a25ed4bbc0b46e490cdceb5ec8c73eb schema:name Anesthesiology and Intensive Care 1, University-Hospital of Udine, P.le S. Maria della Misericordia n.15, 33100, Udine, Italy
86 rdf:type schema:Organization
87 N3b1a9b28517941969cca88dd1e2e9dc3 schema:issueNumber 2
88 rdf:type schema:PublicationIssue
89 N3bc2ec683d1047b699ce959458def0ab schema:name doi
90 schema:value 10.1007/s10877-018-0149-9
91 rdf:type schema:PropertyValue
92 N42920e787608477ba4a77432052782da rdf:first N2fba92e2fffd4b0f9f859b56bc7e0cb9
93 rdf:rest N188494c99a7f4b25a873a5a1147378ae
94 N5414bb3152a540e0aba9fefcf8a18a60 schema:name dimensions_id
95 schema:value pub.1103781706
96 rdf:type schema:PropertyValue
97 N55821010527b47bd81851dd8df6c6b40 rdf:first sg:person.01271267076.70
98 rdf:rest N1c6e7e55ed1a43b5a7eab4541c3a94ec
99 N7ee7d7a1a32c4f26b17373c7d9450b45 schema:name Statistical Physics, SISSA, University of Trieste, via Bonomea 265, 34136, Trieste, Italy
100 rdf:type schema:Organization
101 N86e08d28bb9b47339ecf16cc4366eaab rdf:first sg:person.01332744233.07
102 rdf:rest N1d7b3b57a8c54266a4d334c4e031006b
103 N9e5722b35e0342a48394343e3f11e20d rdf:first sg:person.014140771374.25
104 rdf:rest N42920e787608477ba4a77432052782da
105 Na2f92cfea54c4eed995d696fcceaea81 schema:volumeNumber 33
106 rdf:type schema:PublicationVolume
107 Na497542f5fe24e26bb5f49fa049a945d schema:name Anesthesiology and Intensive Care 1, University-Hospital of Udine, P.le S. Maria della Misericordia n.15, 33100, Udine, Italy
108 rdf:type schema:Organization
109 Ndca18519d3d9407088d094981575656a schema:name Springer Nature - SN SciGraph project
110 rdf:type schema:Organization
111 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
112 schema:name Medical and Health Sciences
113 rdf:type schema:DefinedTerm
114 anzsrc-for:1102 schema:inDefinedTermSet anzsrc-for:
115 schema:name Cardiorespiratory Medicine and Haematology
116 rdf:type schema:DefinedTerm
117 sg:journal.1118054 schema:issn 1387-1307
118 1573-2614
119 schema:name Journal of Clinical Monitoring and Computing
120 rdf:type schema:Periodical
121 sg:person.01221265104.42 schema:affiliation N3a25ed4bbc0b46e490cdceb5ec8c73eb
122 schema:familyName Barbariol
123 schema:givenName Federico
124 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01221265104.42
125 rdf:type schema:Person
126 sg:person.01271267076.70 schema:affiliation https://www.grid.ac/institutes/grid.5390.f
127 schema:familyName Langiano
128 schema:givenName Nicola
129 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01271267076.70
130 rdf:type schema:Person
131 sg:person.01332744233.07 schema:affiliation https://www.grid.ac/institutes/grid.10383.39
132 schema:familyName Bignami
133 schema:givenName Elena
134 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01332744233.07
135 rdf:type schema:Person
136 sg:person.01346773513.43 schema:affiliation https://www.grid.ac/institutes/grid.5390.f
137 schema:familyName Vetrugno
138 schema:givenName Luigi
139 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01346773513.43
140 rdf:type schema:Person
141 sg:person.014140771374.25 schema:affiliation Na497542f5fe24e26bb5f49fa049a945d
142 schema:familyName Matellon
143 schema:givenName Carola
144 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014140771374.25
145 rdf:type schema:Person
146 sg:person.0717435457.77 schema:affiliation https://www.grid.ac/institutes/grid.5390.f
147 schema:familyName Della Rocca
148 schema:givenName Giorgio
149 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0717435457.77
150 rdf:type schema:Person
151 sg:pub.10.1023/a:1009982611386 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040257350
152 https://doi.org/10.1023/a:1009982611386
153 rdf:type schema:CreativeWork
154 sg:pub.10.1186/cc11366 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040657833
155 https://doi.org/10.1186/cc11366
156 rdf:type schema:CreativeWork
157 sg:pub.10.1186/cc7129 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024787401
158 https://doi.org/10.1186/cc7129
159 rdf:type schema:CreativeWork
160 sg:pub.10.1186/cc9332 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050270560
161 https://doi.org/10.1186/cc9332
162 rdf:type schema:CreativeWork
163 sg:pub.10.1186/s13089-017-0067-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1086097995
164 https://doi.org/10.1186/s13089-017-0067-y
165 rdf:type schema:CreativeWork
166 https://app.dimensions.ai/details/publication/pub.1078603200 schema:CreativeWork
167 https://app.dimensions.ai/details/publication/pub.1078871161 schema:CreativeWork
168 https://app.dimensions.ai/details/publication/pub.1081943269 schema:CreativeWork
169 https://doi.org/10.1002/lt.21543 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038789973
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1002/lt.21689 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029682361
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1016/j.jacc.2009.12.075 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039983018
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1016/j.jclinane.2013.04.017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036140242
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1016/j.transproceed.2009.02.046 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018391769
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1016/s0041-1345(03)00602-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1023815350
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1016/s0140-6736(86)90837-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040287180
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1016/s1499-3872(14)60250-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029273940
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1017/s0265021505001717 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037403691
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1053/j.jvca.2011.01.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014004490
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1053/j.jvca.2015.03.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044725935
190 rdf:type schema:CreativeWork
191 https://doi.org/10.1093/bja/aet116 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048254444
192 rdf:type schema:CreativeWork
193 https://doi.org/10.1097/00000658-198911000-00013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023172271
194 rdf:type schema:CreativeWork
195 https://doi.org/10.1097/aln.0b013e3181ee3130 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015637019
196 rdf:type schema:CreativeWork
197 https://doi.org/10.1097/aln.0b013e31823d7784 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060338701
198 rdf:type schema:CreativeWork
199 https://doi.org/10.1097/mot.0b013e3283005832 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012618290
200 rdf:type schema:CreativeWork
201 https://doi.org/10.1111/j.1365-2044.1997.079-az0077.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1049849014
202 rdf:type schema:CreativeWork
203 https://doi.org/10.1111/j.1399-0012.2011.01568.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1032944922
204 rdf:type schema:CreativeWork
205 https://doi.org/10.1136/hrt.55.1.14 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026676120
206 rdf:type schema:CreativeWork
207 https://doi.org/10.1161/01.res.10.1.17 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040485999
208 rdf:type schema:CreativeWork
209 https://doi.org/10.1213/ane.0b013e3181f08a5b schema:sameAs https://app.dimensions.ai/details/publication/pub.1017390424
210 rdf:type schema:CreativeWork
211 https://doi.org/10.1371/journal.pone.0164521 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006849604
212 rdf:type schema:CreativeWork
213 https://doi.org/10.3389/fmed.2016.00003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034296574
214 rdf:type schema:CreativeWork
215 https://www.grid.ac/institutes/grid.10383.39 schema:alternateName University of Parma
216 schema:name Anesthesiology, Critical Care and Pain Medicine Division, Department of Medicine and Surgery, University of Parma, Viale Gramsci 14, 43126, Parma, Italy
217 rdf:type schema:Organization
218 https://www.grid.ac/institutes/grid.5390.f schema:alternateName University of Udine
219 schema:name Anesthesiology and Intensive Care Clinic, Department of Medicine, University of Udine, P.le S. Maria della Misericordia n.15, 33100, Udine, Italy
220 rdf:type schema:Organization
 




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


...