Ultrasound shear wave elastography for assessing diaphragm function in mechanically ventilated patients: a breath-by-breath analysis View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2020-11-27

AUTHORS

Quentin Fossé, Thomas Poulard, Marie-Cécile Niérat, Sara Virolle, Elise Morawiec, Jean-Yves Hogrel, Thomas Similowski, Alexandre Demoule, Jean-Luc Gennisson, Damien Bachasson, Martin Dres

ABSTRACT

BackgroundDiaphragm dysfunction is highly prevalent in mechanically ventilated patients. Recent work showed that changes in diaphragm shear modulus (ΔSMdi) assessed using ultrasound shear wave elastography (SWE) are strongly related to changes in Pdi (ΔPdi) in healthy subjects. The aims of this study were to investigate the relationship between ΔSMdi and ΔPdi in mechanically ventilated patients, and whether ΔSMdi is responsive to change in respiratory load when varying the ventilator settings.MethodsA prospective, monocentric study was conducted in a 15-bed ICU. Patients were included if they met the readiness-to-wean criteria. Pdi was continuously monitored using a double-balloon feeding catheter orally introduced. The zone of apposition of the right hemidiaphragm was imaged using a linear transducer (SL10-2, Aixplorer, Supersonic Imagine, France). Ultrasound recordings were performed under various pressure support settings and during a spontaneous breathing trial (SBT). A breath-by-breath analysis was performed, allowing the direct comparison between ΔPdi and ΔSMdi. Pearson’s correlation coefficients (r) were used to investigate within-individual relationships between variables, and repeated measure correlations (R) were used for determining overall relationships between variables. Linear mixed models were used to compare breathing indices across the conditions of ventilation.ResultsThirty patients were included and 930 respiratory cycles were analyzed. Twenty-five were considered for the analysis. A significant correlation was found between ΔPdi and ΔSMdi (R = 0.45, 95% CIs [0.35 0.54], p < 0.001). Individual correlation displays a significant correlation in 8 patients out of 25 (r = 0.55–0.86, all p < 0.05, versus r = − 0.43–0.52, all p > 0.06). Changing the condition of ventilation similarly affected ΔPdi and ΔSMdi. Patients in which ΔPdi–ΔSMdi correlation was non-significant had a faster respiratory rate as compared to that of patient with a significant ΔPdi–ΔSMdi relationship (median (Q1–Q3), 25 (18–33) vs. 21 (15–26) breaths.min−1, respectively).ConclusionsWe demonstrate that ultrasound SWE may be a promising surrogate to Pdi in mechanically ventilated patients. Respiratory rate appears to negatively impact SMdi measurement. Technological developments are needed to generalize this method in tachypneic patients.Trial registrationNCT03832231. More... »

PAGES

669

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s13054-020-03338-y

DOI

http://dx.doi.org/10.1186/s13054-020-03338-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1132948548

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/33246478


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1116", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical Physiology", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Diaphragm", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Elasticity Imaging Techniques", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "France", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prospective Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Respiration, Artificial", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Respiratory Mechanics", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Ultrasonography", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Ventilator Weaning", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "AP-HP. Sorbonne Universit\u00e9, H\u00f4pital Piti\u00e9-Salp\u00eatri\u00e8re, Service de Pneumologie, M\u00e9decine intensive \u2013 R\u00e9animation (D\u00e9partement \u201cR3S\u201d), 75013, Paris, France", 
          "id": "http://www.grid.ac/institutes/grid.411439.a", 
          "name": [
            "Sorbonne Universit\u00e9, INSERM, UMRS1158 Neurophysiologie respiratoire exp\u00e9rimentale et clinique, Paris, France", 
            "AP-HP. Sorbonne Universit\u00e9, H\u00f4pital Piti\u00e9-Salp\u00eatri\u00e8re, Service de Pneumologie, M\u00e9decine intensive \u2013 R\u00e9animation (D\u00e9partement \u201cR3S\u201d), 75013, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Foss\u00e9", 
        "givenName": "Quentin", 
        "id": "sg:person.013413772327.48", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013413772327.48"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Laboratoire d\u2019Imagerie Biom\u00e9dicale Multimodale, BioMaps, Universit\u00e9 Paris-Saclay, CEA, CNRS UMR 9011, INSERM UMR1281, SHFJ, Orsay, France", 
          "id": "http://www.grid.ac/institutes/grid.460789.4", 
          "name": [
            "Institut de Myologie, Laboratoire de Physiologie et d\u2019Evaluation Neuromusculaire, Paris, France", 
            "Laboratoire d\u2019Imagerie Biom\u00e9dicale Multimodale, BioMaps, Universit\u00e9 Paris-Saclay, CEA, CNRS UMR 9011, INSERM UMR1281, SHFJ, Orsay, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Poulard", 
        "givenName": "Thomas", 
        "id": "sg:person.012021031327.35", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012021031327.35"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Sorbonne Universit\u00e9, INSERM, UMRS1158 Neurophysiologie respiratoire exp\u00e9rimentale et clinique, Paris, France", 
          "id": "http://www.grid.ac/institutes/grid.462844.8", 
          "name": [
            "Sorbonne Universit\u00e9, INSERM, UMRS1158 Neurophysiologie respiratoire exp\u00e9rimentale et clinique, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ni\u00e9rat", 
        "givenName": "Marie-C\u00e9cile", 
        "id": "sg:person.0663335436.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0663335436.19"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "AP-HP. Sorbonne Universit\u00e9, H\u00f4pital Piti\u00e9-Salp\u00eatri\u00e8re, Service de Pneumologie, M\u00e9decine intensive \u2013 R\u00e9animation (D\u00e9partement \u201cR3S\u201d), 75013, Paris, France", 
          "id": "http://www.grid.ac/institutes/grid.411439.a", 
          "name": [
            "Sorbonne Universit\u00e9, INSERM, UMRS1158 Neurophysiologie respiratoire exp\u00e9rimentale et clinique, Paris, France", 
            "AP-HP. Sorbonne Universit\u00e9, H\u00f4pital Piti\u00e9-Salp\u00eatri\u00e8re, Service de Pneumologie, M\u00e9decine intensive \u2013 R\u00e9animation (D\u00e9partement \u201cR3S\u201d), 75013, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Virolle", 
        "givenName": "Sara", 
        "id": "sg:person.012571131507.83", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012571131507.83"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "AP-HP. Sorbonne Universit\u00e9, H\u00f4pital Piti\u00e9-Salp\u00eatri\u00e8re, Service de Pneumologie, M\u00e9decine intensive \u2013 R\u00e9animation (D\u00e9partement \u201cR3S\u201d), 75013, Paris, France", 
          "id": "http://www.grid.ac/institutes/grid.411439.a", 
          "name": [
            "Sorbonne Universit\u00e9, INSERM, UMRS1158 Neurophysiologie respiratoire exp\u00e9rimentale et clinique, Paris, France", 
            "AP-HP. Sorbonne Universit\u00e9, H\u00f4pital Piti\u00e9-Salp\u00eatri\u00e8re, Service de Pneumologie, M\u00e9decine intensive \u2013 R\u00e9animation (D\u00e9partement \u201cR3S\u201d), 75013, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Morawiec", 
        "givenName": "Elise", 
        "id": "sg:person.01232376071.84", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01232376071.84"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institut de Myologie, Laboratoire de Physiologie et d\u2019Evaluation Neuromusculaire, Paris, France", 
          "id": "http://www.grid.ac/institutes/grid.418250.a", 
          "name": [
            "Institut de Myologie, Laboratoire de Physiologie et d\u2019Evaluation Neuromusculaire, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hogrel", 
        "givenName": "Jean-Yves", 
        "id": "sg:person.01270235450.35", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01270235450.35"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "AP-HP. Sorbonne Universit\u00e9, H\u00f4pital Piti\u00e9-Salp\u00eatri\u00e8re, Service de Pneumologie, M\u00e9decine intensive \u2013 R\u00e9animation (D\u00e9partement \u201cR3S\u201d), 75013, Paris, France", 
          "id": "http://www.grid.ac/institutes/grid.411439.a", 
          "name": [
            "Sorbonne Universit\u00e9, INSERM, UMRS1158 Neurophysiologie respiratoire exp\u00e9rimentale et clinique, Paris, France", 
            "AP-HP. Sorbonne Universit\u00e9, H\u00f4pital Piti\u00e9-Salp\u00eatri\u00e8re, Service de Pneumologie, M\u00e9decine intensive \u2013 R\u00e9animation (D\u00e9partement \u201cR3S\u201d), 75013, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Similowski", 
        "givenName": "Thomas", 
        "id": "sg:person.01235111105.45", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01235111105.45"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "AP-HP. Sorbonne Universit\u00e9, H\u00f4pital Piti\u00e9-Salp\u00eatri\u00e8re, Service de Pneumologie, M\u00e9decine intensive \u2013 R\u00e9animation (D\u00e9partement \u201cR3S\u201d), 75013, Paris, France", 
          "id": "http://www.grid.ac/institutes/grid.411439.a", 
          "name": [
            "Sorbonne Universit\u00e9, INSERM, UMRS1158 Neurophysiologie respiratoire exp\u00e9rimentale et clinique, Paris, France", 
            "AP-HP. Sorbonne Universit\u00e9, H\u00f4pital Piti\u00e9-Salp\u00eatri\u00e8re, Service de Pneumologie, M\u00e9decine intensive \u2013 R\u00e9animation (D\u00e9partement \u201cR3S\u201d), 75013, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Demoule", 
        "givenName": "Alexandre", 
        "id": "sg:person.0673253666.83", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0673253666.83"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Laboratoire d\u2019Imagerie Biom\u00e9dicale Multimodale, BioMaps, Universit\u00e9 Paris-Saclay, CEA, CNRS UMR 9011, INSERM UMR1281, SHFJ, Orsay, France", 
          "id": "http://www.grid.ac/institutes/grid.460789.4", 
          "name": [
            "Laboratoire d\u2019Imagerie Biom\u00e9dicale Multimodale, BioMaps, Universit\u00e9 Paris-Saclay, CEA, CNRS UMR 9011, INSERM UMR1281, SHFJ, Orsay, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gennisson", 
        "givenName": "Jean-Luc", 
        "id": "sg:person.01120533215.99", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01120533215.99"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institut de Myologie, Laboratoire de Physiologie et d\u2019Evaluation Neuromusculaire, Paris, France", 
          "id": "http://www.grid.ac/institutes/grid.418250.a", 
          "name": [
            "Institut de Myologie, Laboratoire de Physiologie et d\u2019Evaluation Neuromusculaire, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bachasson", 
        "givenName": "Damien", 
        "id": "sg:person.01322166106.32", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01322166106.32"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "AP-HP. Sorbonne Universit\u00e9, H\u00f4pital Piti\u00e9-Salp\u00eatri\u00e8re, Service de Pneumologie, M\u00e9decine intensive \u2013 R\u00e9animation (D\u00e9partement \u201cR3S\u201d), 75013, Paris, France", 
          "id": "http://www.grid.ac/institutes/grid.411439.a", 
          "name": [
            "Sorbonne Universit\u00e9, INSERM, UMRS1158 Neurophysiologie respiratoire exp\u00e9rimentale et clinique, Paris, France", 
            "AP-HP. Sorbonne Universit\u00e9, H\u00f4pital Piti\u00e9-Salp\u00eatri\u00e8re, Service de Pneumologie, M\u00e9decine intensive \u2013 R\u00e9animation (D\u00e9partement \u201cR3S\u201d), 75013, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dres", 
        "givenName": "Martin", 
        "id": "sg:person.01120203457.34", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01120203457.34"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s00134-015-4125-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003806404", 
          "https://doi.org/10.1007/s00134-015-4125-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00134-012-2547-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042841095", 
          "https://doi.org/10.1007/s00134-012-2547-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/cc9094", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024386586", 
          "https://doi.org/10.1186/cc9094"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13613-018-0401-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103601685", 
          "https://doi.org/10.1186/s13613-018-0401-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00134-016-4400-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021445337", 
          "https://doi.org/10.1007/s00134-016-4400-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00134-019-05892-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1124076869", 
          "https://doi.org/10.1007/s00134-019-05892-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13054-020-2745-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1124557919", 
          "https://doi.org/10.1186/s13054-020-2745-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00134-015-3687-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021654315", 
          "https://doi.org/10.1007/s00134-015-3687-3"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2020-11-27", 
    "datePublishedReg": "2020-11-27", 
    "description": "BackgroundDiaphragm dysfunction is highly prevalent in mechanically ventilated patients. Recent work showed that changes in diaphragm shear modulus (\u0394SMdi) assessed using ultrasound shear wave elastography (SWE) are strongly related to changes in Pdi (\u0394Pdi) in healthy subjects. The aims of this study were to investigate the relationship between \u0394SMdi and \u0394Pdi in mechanically ventilated patients, and whether \u0394SMdi is responsive to change in respiratory load when varying the ventilator settings.MethodsA prospective, monocentric study was conducted in a 15-bed ICU. Patients were included if they met the readiness-to-wean criteria. Pdi was continuously monitored using a double-balloon feeding catheter orally introduced. The zone of apposition of the right hemidiaphragm was imaged using a linear transducer (SL10-2, Aixplorer, Supersonic Imagine, France). Ultrasound recordings were performed under various pressure support settings and during a spontaneous breathing trial (SBT). A breath-by-breath analysis was performed, allowing the direct comparison between \u0394Pdi and \u0394SMdi. Pearson\u2019s correlation coefficients (r) were used to investigate within-individual relationships between variables, and repeated measure correlations (R) were used for determining overall relationships between variables. Linear mixed models were used to compare breathing indices across the conditions of ventilation.ResultsThirty patients were included and 930 respiratory cycles were analyzed. Twenty-five were considered for the analysis. A significant correlation was found between \u0394Pdi and \u0394SMdi (R\u2009=\u20090.45, 95% CIs [0.35 0.54], p\u2009<\u20090.001). Individual correlation displays a significant correlation in 8 patients out of 25 (r\u2009=\u20090.55\u20130.86, all p\u2009<\u20090.05, versus r\u2009=\u2009\u2212\u20090.43\u20130.52, all p\u2009>\u20090.06). Changing the condition of ventilation similarly affected \u0394Pdi and \u0394SMdi. Patients in which \u0394Pdi\u2013\u0394SMdi correlation was non-significant had a faster respiratory rate as compared to that of patient with a significant \u0394Pdi\u2013\u0394SMdi relationship (median (Q1\u2013Q3), 25 (18\u201333) vs. 21 (15\u201326) breaths.min\u22121, respectively).ConclusionsWe demonstrate that ultrasound SWE may be a promising surrogate to Pdi in mechanically ventilated patients. Respiratory rate appears to negatively impact SMdi measurement. Technological developments are needed to generalize this method in tachypneic patients.Trial registrationNCT03832231.", 
    "genre": "article", 
    "id": "sg:pub.10.1186/s13054-020-03338-y", 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1117766", 
        "issn": [
          "1364-8535", 
          "1466-609X"
        ], 
        "name": "Critical Care", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "24"
      }
    ], 
    "keywords": [
      "spontaneous breathing trial", 
      "shear wave elastography", 
      "respiratory rate", 
      "conditions of ventilation", 
      "pressure support settings", 
      "significant correlation", 
      "wave elastography", 
      "zone of apposition", 
      "ResultsThirty patients", 
      "tachypneic patients", 
      "ultrasound shear wave elastography", 
      "monocentric study", 
      "breathing trial", 
      "feeding catheter", 
      "right hemidiaphragm", 
      "diaphragm function", 
      "ventilator settings", 
      "healthy subjects", 
      "respiratory load", 
      "patients", 
      "respiratory cycle", 
      "breath analysis", 
      "linear mixed models", 
      "ultrasound recordings", 
      "linear transducer", 
      "ventilation", 
      "breath", 
      "support settings", 
      "Pearson correlation", 
      "elastography", 
      "mixed models", 
      "measures correlation", 
      "promising surrogate", 
      "ICU", 
      "hemidiaphragm", 
      "catheter", 
      "dysfunction", 
      "MethodsA", 
      "setting", 
      "trials", 
      "correlation", 
      "individual correlations", 
      "apposition", 
      "study", 
      "ConclusionsWe", 
      "subjects", 
      "rate", 
      "direct comparison", 
      "overall relationship", 
      "PDI", 
      "recordings", 
      "aim", 
      "changes", 
      "relationship", 
      "index", 
      "criteria", 
      "analysis", 
      "variables", 
      "surrogate", 
      "individual relationships", 
      "readiness", 
      "function", 
      "development", 
      "conditions", 
      "comparison", 
      "transducer", 
      "cycle", 
      "recent work", 
      "method", 
      "measurements", 
      "model", 
      "load", 
      "zone", 
      "work", 
      "technological development", 
      "modulus", 
      "shear modulus"
    ], 
    "name": "Ultrasound shear wave elastography for assessing diaphragm function in mechanically ventilated patients: a breath-by-breath analysis", 
    "pagination": "669", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1132948548"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s13054-020-03338-y"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "33246478"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s13054-020-03338-y", 
      "https://app.dimensions.ai/details/publication/pub.1132948548"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-10-01T06:46", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20221001/entities/gbq_results/article/article_835.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1186/s13054-020-03338-y"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s13054-020-03338-y'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s13054-020-03338-y'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s13054-020-03338-y'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s13054-020-03338-y'


 

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

303 TRIPLES      21 PREDICATES      123 URIs      107 LITERALS      20 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s13054-020-03338-y schema:about N0f14bdffbc4040eaa09641d7816c8d7d
2 N1f506c1361274290b2d687a8663ff176
3 N2632e36c6c334a72a04ea03055139da5
4 N2d155b1c67f64fbe9ca8713f9f358d4a
5 N4153749caf7e4acca91a16a1575e7ae6
6 N7604eddeac474d469ed1f78312bd9b75
7 N7b852b6ffee746fd82b4a2c3d6bb4b43
8 Naf694384f9d24e1a808a34d274f903eb
9 Nd2dcdcb75ef145038b95403ce909f50b
10 Nd652294f4aed44a0835f18aa85af41fc
11 Nebef3dee194a4641b2b08f57417cdbd9
12 Nf13a8e8a2ea34085913e91d0a53de168
13 Nfc7d2c5eaa564a96bc8956b174f5d5d3
14 anzsrc-for:11
15 anzsrc-for:1116
16 schema:author Ne9ee6e02a0af4c7b90e6eaabde8d4a07
17 schema:citation sg:pub.10.1007/s00134-012-2547-7
18 sg:pub.10.1007/s00134-015-3687-3
19 sg:pub.10.1007/s00134-015-4125-2
20 sg:pub.10.1007/s00134-016-4400-x
21 sg:pub.10.1007/s00134-019-05892-8
22 sg:pub.10.1186/cc9094
23 sg:pub.10.1186/s13054-020-2745-6
24 sg:pub.10.1186/s13613-018-0401-y
25 schema:datePublished 2020-11-27
26 schema:datePublishedReg 2020-11-27
27 schema:description BackgroundDiaphragm dysfunction is highly prevalent in mechanically ventilated patients. Recent work showed that changes in diaphragm shear modulus (ΔSMdi) assessed using ultrasound shear wave elastography (SWE) are strongly related to changes in Pdi (ΔPdi) in healthy subjects. The aims of this study were to investigate the relationship between ΔSMdi and ΔPdi in mechanically ventilated patients, and whether ΔSMdi is responsive to change in respiratory load when varying the ventilator settings.MethodsA prospective, monocentric study was conducted in a 15-bed ICU. Patients were included if they met the readiness-to-wean criteria. Pdi was continuously monitored using a double-balloon feeding catheter orally introduced. The zone of apposition of the right hemidiaphragm was imaged using a linear transducer (SL10-2, Aixplorer, Supersonic Imagine, France). Ultrasound recordings were performed under various pressure support settings and during a spontaneous breathing trial (SBT). A breath-by-breath analysis was performed, allowing the direct comparison between ΔPdi and ΔSMdi. Pearson’s correlation coefficients (r) were used to investigate within-individual relationships between variables, and repeated measure correlations (R) were used for determining overall relationships between variables. Linear mixed models were used to compare breathing indices across the conditions of ventilation.ResultsThirty patients were included and 930 respiratory cycles were analyzed. Twenty-five were considered for the analysis. A significant correlation was found between ΔPdi and ΔSMdi (R = 0.45, 95% CIs [0.35 0.54], p < 0.001). Individual correlation displays a significant correlation in 8 patients out of 25 (r = 0.55–0.86, all p < 0.05, versus r = − 0.43–0.52, all p > 0.06). Changing the condition of ventilation similarly affected ΔPdi and ΔSMdi. Patients in which ΔPdi–ΔSMdi correlation was non-significant had a faster respiratory rate as compared to that of patient with a significant ΔPdi–ΔSMdi relationship (median (Q1–Q3), 25 (18–33) vs. 21 (15–26) breaths.min−1, respectively).ConclusionsWe demonstrate that ultrasound SWE may be a promising surrogate to Pdi in mechanically ventilated patients. Respiratory rate appears to negatively impact SMdi measurement. Technological developments are needed to generalize this method in tachypneic patients.Trial registrationNCT03832231.
28 schema:genre article
29 schema:isAccessibleForFree true
30 schema:isPartOf N6408bb7d43f347bdb8eaa3391c5591b3
31 Na9c77553b0ef4a13bfe961c25da4698f
32 sg:journal.1117766
33 schema:keywords ConclusionsWe
34 ICU
35 MethodsA
36 PDI
37 Pearson correlation
38 ResultsThirty patients
39 aim
40 analysis
41 apposition
42 breath
43 breath analysis
44 breathing trial
45 catheter
46 changes
47 comparison
48 conditions
49 conditions of ventilation
50 correlation
51 criteria
52 cycle
53 development
54 diaphragm function
55 direct comparison
56 dysfunction
57 elastography
58 feeding catheter
59 function
60 healthy subjects
61 hemidiaphragm
62 index
63 individual correlations
64 individual relationships
65 linear mixed models
66 linear transducer
67 load
68 measurements
69 measures correlation
70 method
71 mixed models
72 model
73 modulus
74 monocentric study
75 overall relationship
76 patients
77 pressure support settings
78 promising surrogate
79 rate
80 readiness
81 recent work
82 recordings
83 relationship
84 respiratory cycle
85 respiratory load
86 respiratory rate
87 right hemidiaphragm
88 setting
89 shear modulus
90 shear wave elastography
91 significant correlation
92 spontaneous breathing trial
93 study
94 subjects
95 support settings
96 surrogate
97 tachypneic patients
98 technological development
99 transducer
100 trials
101 ultrasound recordings
102 ultrasound shear wave elastography
103 variables
104 ventilation
105 ventilator settings
106 wave elastography
107 work
108 zone
109 zone of apposition
110 schema:name Ultrasound shear wave elastography for assessing diaphragm function in mechanically ventilated patients: a breath-by-breath analysis
111 schema:pagination 669
112 schema:productId N2007b5a00a5a4cb6bee4699616bf3988
113 N6e209359f39d480987fa57311c06bad5
114 N7071365507464aff9661e6f2b8779713
115 schema:sameAs https://app.dimensions.ai/details/publication/pub.1132948548
116 https://doi.org/10.1186/s13054-020-03338-y
117 schema:sdDatePublished 2022-10-01T06:46
118 schema:sdLicense https://scigraph.springernature.com/explorer/license/
119 schema:sdPublisher N7fc6bb006c5a462c871543524e7ad4b7
120 schema:url https://doi.org/10.1186/s13054-020-03338-y
121 sgo:license sg:explorer/license/
122 sgo:sdDataset articles
123 rdf:type schema:ScholarlyArticle
124 N01bae0d02eb340209989595ff64d69a1 rdf:first sg:person.01270235450.35
125 rdf:rest N35804e744f084ab6bf5f2b5f3d2a7fed
126 N049b5834432743e497911f9366c84a03 rdf:first sg:person.01322166106.32
127 rdf:rest Nab8c1a3d74144f5ab81213cbda5c57c6
128 N0f14bdffbc4040eaa09641d7816c8d7d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
129 schema:name Ventilator Weaning
130 rdf:type schema:DefinedTerm
131 N1f506c1361274290b2d687a8663ff176 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
132 schema:name Ultrasonography
133 rdf:type schema:DefinedTerm
134 N2007b5a00a5a4cb6bee4699616bf3988 schema:name doi
135 schema:value 10.1186/s13054-020-03338-y
136 rdf:type schema:PropertyValue
137 N2632e36c6c334a72a04ea03055139da5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
138 schema:name Female
139 rdf:type schema:DefinedTerm
140 N28f944f9483a497193a67fbf984145d8 rdf:first sg:person.012571131507.83
141 rdf:rest N312630a7698847ceb5b73e41c89899a7
142 N298dd1bdd75141c98aa5743955f9f8f7 rdf:first sg:person.012021031327.35
143 rdf:rest N6b2b589073a04978a9dd0955fbe4fe9b
144 N2d155b1c67f64fbe9ca8713f9f358d4a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
145 schema:name Prospective Studies
146 rdf:type schema:DefinedTerm
147 N312630a7698847ceb5b73e41c89899a7 rdf:first sg:person.01232376071.84
148 rdf:rest N01bae0d02eb340209989595ff64d69a1
149 N35804e744f084ab6bf5f2b5f3d2a7fed rdf:first sg:person.01235111105.45
150 rdf:rest Neefc7042253040b0bb6b047ee83b0a80
151 N4153749caf7e4acca91a16a1575e7ae6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
152 schema:name Middle Aged
153 rdf:type schema:DefinedTerm
154 N6408bb7d43f347bdb8eaa3391c5591b3 schema:volumeNumber 24
155 rdf:type schema:PublicationVolume
156 N6b2b589073a04978a9dd0955fbe4fe9b rdf:first sg:person.0663335436.19
157 rdf:rest N28f944f9483a497193a67fbf984145d8
158 N6e209359f39d480987fa57311c06bad5 schema:name pubmed_id
159 schema:value 33246478
160 rdf:type schema:PropertyValue
161 N7071365507464aff9661e6f2b8779713 schema:name dimensions_id
162 schema:value pub.1132948548
163 rdf:type schema:PropertyValue
164 N7604eddeac474d469ed1f78312bd9b75 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
165 schema:name Humans
166 rdf:type schema:DefinedTerm
167 N7b852b6ffee746fd82b4a2c3d6bb4b43 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
168 schema:name Respiration, Artificial
169 rdf:type schema:DefinedTerm
170 N7fc6bb006c5a462c871543524e7ad4b7 schema:name Springer Nature - SN SciGraph project
171 rdf:type schema:Organization
172 N9a6d3fba19f8489fa816a2645f3719b3 rdf:first sg:person.01120533215.99
173 rdf:rest N049b5834432743e497911f9366c84a03
174 Na9c77553b0ef4a13bfe961c25da4698f schema:issueNumber 1
175 rdf:type schema:PublicationIssue
176 Nab8c1a3d74144f5ab81213cbda5c57c6 rdf:first sg:person.01120203457.34
177 rdf:rest rdf:nil
178 Naf694384f9d24e1a808a34d274f903eb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
179 schema:name Elasticity Imaging Techniques
180 rdf:type schema:DefinedTerm
181 Nd2dcdcb75ef145038b95403ce909f50b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
182 schema:name France
183 rdf:type schema:DefinedTerm
184 Nd652294f4aed44a0835f18aa85af41fc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
185 schema:name Aged
186 rdf:type schema:DefinedTerm
187 Ne9ee6e02a0af4c7b90e6eaabde8d4a07 rdf:first sg:person.013413772327.48
188 rdf:rest N298dd1bdd75141c98aa5743955f9f8f7
189 Nebef3dee194a4641b2b08f57417cdbd9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
190 schema:name Diaphragm
191 rdf:type schema:DefinedTerm
192 Neefc7042253040b0bb6b047ee83b0a80 rdf:first sg:person.0673253666.83
193 rdf:rest N9a6d3fba19f8489fa816a2645f3719b3
194 Nf13a8e8a2ea34085913e91d0a53de168 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
195 schema:name Male
196 rdf:type schema:DefinedTerm
197 Nfc7d2c5eaa564a96bc8956b174f5d5d3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
198 schema:name Respiratory Mechanics
199 rdf:type schema:DefinedTerm
200 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
201 schema:name Medical and Health Sciences
202 rdf:type schema:DefinedTerm
203 anzsrc-for:1116 schema:inDefinedTermSet anzsrc-for:
204 schema:name Medical Physiology
205 rdf:type schema:DefinedTerm
206 sg:journal.1117766 schema:issn 1364-8535
207 1466-609X
208 schema:name Critical Care
209 schema:publisher Springer Nature
210 rdf:type schema:Periodical
211 sg:person.01120203457.34 schema:affiliation grid-institutes:grid.411439.a
212 schema:familyName Dres
213 schema:givenName Martin
214 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01120203457.34
215 rdf:type schema:Person
216 sg:person.01120533215.99 schema:affiliation grid-institutes:grid.460789.4
217 schema:familyName Gennisson
218 schema:givenName Jean-Luc
219 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01120533215.99
220 rdf:type schema:Person
221 sg:person.012021031327.35 schema:affiliation grid-institutes:grid.460789.4
222 schema:familyName Poulard
223 schema:givenName Thomas
224 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012021031327.35
225 rdf:type schema:Person
226 sg:person.01232376071.84 schema:affiliation grid-institutes:grid.411439.a
227 schema:familyName Morawiec
228 schema:givenName Elise
229 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01232376071.84
230 rdf:type schema:Person
231 sg:person.01235111105.45 schema:affiliation grid-institutes:grid.411439.a
232 schema:familyName Similowski
233 schema:givenName Thomas
234 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01235111105.45
235 rdf:type schema:Person
236 sg:person.012571131507.83 schema:affiliation grid-institutes:grid.411439.a
237 schema:familyName Virolle
238 schema:givenName Sara
239 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012571131507.83
240 rdf:type schema:Person
241 sg:person.01270235450.35 schema:affiliation grid-institutes:grid.418250.a
242 schema:familyName Hogrel
243 schema:givenName Jean-Yves
244 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01270235450.35
245 rdf:type schema:Person
246 sg:person.01322166106.32 schema:affiliation grid-institutes:grid.418250.a
247 schema:familyName Bachasson
248 schema:givenName Damien
249 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01322166106.32
250 rdf:type schema:Person
251 sg:person.013413772327.48 schema:affiliation grid-institutes:grid.411439.a
252 schema:familyName Fossé
253 schema:givenName Quentin
254 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013413772327.48
255 rdf:type schema:Person
256 sg:person.0663335436.19 schema:affiliation grid-institutes:grid.462844.8
257 schema:familyName Niérat
258 schema:givenName Marie-Cécile
259 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0663335436.19
260 rdf:type schema:Person
261 sg:person.0673253666.83 schema:affiliation grid-institutes:grid.411439.a
262 schema:familyName Demoule
263 schema:givenName Alexandre
264 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0673253666.83
265 rdf:type schema:Person
266 sg:pub.10.1007/s00134-012-2547-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042841095
267 https://doi.org/10.1007/s00134-012-2547-7
268 rdf:type schema:CreativeWork
269 sg:pub.10.1007/s00134-015-3687-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021654315
270 https://doi.org/10.1007/s00134-015-3687-3
271 rdf:type schema:CreativeWork
272 sg:pub.10.1007/s00134-015-4125-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003806404
273 https://doi.org/10.1007/s00134-015-4125-2
274 rdf:type schema:CreativeWork
275 sg:pub.10.1007/s00134-016-4400-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1021445337
276 https://doi.org/10.1007/s00134-016-4400-x
277 rdf:type schema:CreativeWork
278 sg:pub.10.1007/s00134-019-05892-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1124076869
279 https://doi.org/10.1007/s00134-019-05892-8
280 rdf:type schema:CreativeWork
281 sg:pub.10.1186/cc9094 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024386586
282 https://doi.org/10.1186/cc9094
283 rdf:type schema:CreativeWork
284 sg:pub.10.1186/s13054-020-2745-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1124557919
285 https://doi.org/10.1186/s13054-020-2745-6
286 rdf:type schema:CreativeWork
287 sg:pub.10.1186/s13613-018-0401-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1103601685
288 https://doi.org/10.1186/s13613-018-0401-y
289 rdf:type schema:CreativeWork
290 grid-institutes:grid.411439.a schema:alternateName AP-HP. Sorbonne Université, Hôpital Pitié-Salpêtrière, Service de Pneumologie, Médecine intensive – Réanimation (Département “R3S”), 75013, Paris, France
291 schema:name AP-HP. Sorbonne Université, Hôpital Pitié-Salpêtrière, Service de Pneumologie, Médecine intensive – Réanimation (Département “R3S”), 75013, Paris, France
292 Sorbonne Université, INSERM, UMRS1158 Neurophysiologie respiratoire expérimentale et clinique, Paris, France
293 rdf:type schema:Organization
294 grid-institutes:grid.418250.a schema:alternateName Institut de Myologie, Laboratoire de Physiologie et d’Evaluation Neuromusculaire, Paris, France
295 schema:name Institut de Myologie, Laboratoire de Physiologie et d’Evaluation Neuromusculaire, Paris, France
296 rdf:type schema:Organization
297 grid-institutes:grid.460789.4 schema:alternateName Laboratoire d’Imagerie Biomédicale Multimodale, BioMaps, Université Paris-Saclay, CEA, CNRS UMR 9011, INSERM UMR1281, SHFJ, Orsay, France
298 schema:name Institut de Myologie, Laboratoire de Physiologie et d’Evaluation Neuromusculaire, Paris, France
299 Laboratoire d’Imagerie Biomédicale Multimodale, BioMaps, Université Paris-Saclay, CEA, CNRS UMR 9011, INSERM UMR1281, SHFJ, Orsay, France
300 rdf:type schema:Organization
301 grid-institutes:grid.462844.8 schema:alternateName Sorbonne Université, INSERM, UMRS1158 Neurophysiologie respiratoire expérimentale et clinique, Paris, France
302 schema:name Sorbonne Université, INSERM, UMRS1158 Neurophysiologie respiratoire expérimentale et clinique, Paris, France
303 rdf:type schema:Organization
 




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


...