Differentiation of infiltrative cardiomyopathy from hypertrophic cardiomyopathy using high-sensitivity cardiac troponin T: a case-control study View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2015-06-16

AUTHORS

Toru Kubo, Yuichi Baba, Takayoshi Hirota, Katsutoshi Tanioka, Naohito Yamasaki, Shigeo Yamanaka, Tatsuo Iiyama, Naoko Kumagai, Takashi Furuno, Tetsuro Sugiura, Hiroaki Kitaoka

ABSTRACT

BackgroundBecause infiltrative cardiomyopathy and hypertrophic cardiomyopathy (HCM) share clinical and hemodynamic features of left ventricular (LV) hypertrophy and abnormal diastolic function, it is often difficult to distinguish these entities.MethodsWe investigated the potential role of high-sensitivity cardiac troponin T (hs-cTnT) for differentiation of infiltrative cardiomyopathy from HCM.ResultsThe study group consisted of 46 consecutive patients with infiltrative cardiomyopathies or HCM in whom sarcomere protein gene mutations were identified at Kochi Medical School Hospital; of these, there were 11 patients with infiltrative cardiomyopathy (cardiac amyloidosis in 8 patients and Fabry disease in 3 patients) and 35 HCM patients. Serum hs-cTnT level was significantly higher in patients who had infiltrative cardiomyopathy than in those who had HCM (0.083 ± 0.057 ng/ml versus 0.027 ± 0.034 ng/ml, p < 0.001), whereas brain natriuretic peptide levels did not differ between the two groups. In two age-matched the 2 cohorts (patients evaluated at > 40 years at age), hs-cTnT level, maximum LV wall thickness, posterior wall thickness, peak early (E) transmitral filling velocity, peak early diastolic (Ea) velocity of tissue Doppler imaging at the lateral corner and E/Ea ratios at both the septal and lateral corners were significantly different between the two groups. As for diagnostic accuracy to differentiate the two groups by using receiver operating characteristic analysis, hs-cTnT was the highest value of area under the curve (0.939) and E/Ea (lateral) was second highest value (0.914).ConclusionsSerum hs-cTnT is a helpful diagnostic indicator for accurate differentiation between infiltrative cardiomyopathy and HCM. More... »

PAGES

53

References to SciGraph publications

  • 2007-08-29. Use of tissue Doppler imaging to identify and manage systemic diseases in CLINICAL RESEARCH IN CARDIOLOGY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/s12872-015-0043-z

    DOI

    http://dx.doi.org/10.1186/s12872-015-0043-z

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1021870616

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/26077897


    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/2008/1102", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Cardiorespiratory Medicine and Haematology", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Adult", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Aged", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Amyloidosis", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Cardiomyopathies", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Cardiomyopathy, Hypertrophic", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Case-Control Studies", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Diagnosis, Differential", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Diastole", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Echocardiography, Doppler", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Fabry Disease", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Female", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Humans", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Hypertrophy, Left Ventricular", 
            "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": "ROC Curve", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Troponin T", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Ventricular Dysfunction, Left", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Department of Cardiology, Neurology and Aging Science, Kochi Medical School, Oko-cho, 783-8505, Nankoku-shi, Kochi, Japan", 
              "id": "http://www.grid.ac/institutes/grid.415887.7", 
              "name": [
                "Department of Cardiology, Neurology and Aging Science, Kochi Medical School, Oko-cho, 783-8505, Nankoku-shi, Kochi, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kubo", 
            "givenName": "Toru", 
            "id": "sg:person.01130443161.31", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01130443161.31"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Cardiology, Neurology and Aging Science, Kochi Medical School, Oko-cho, 783-8505, Nankoku-shi, Kochi, Japan", 
              "id": "http://www.grid.ac/institutes/grid.415887.7", 
              "name": [
                "Department of Cardiology, Neurology and Aging Science, Kochi Medical School, Oko-cho, 783-8505, Nankoku-shi, Kochi, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Baba", 
            "givenName": "Yuichi", 
            "id": "sg:person.0612240723.34", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0612240723.34"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Cardiology, Neurology and Aging Science, Kochi Medical School, Oko-cho, 783-8505, Nankoku-shi, Kochi, Japan", 
              "id": "http://www.grid.ac/institutes/grid.415887.7", 
              "name": [
                "Department of Cardiology, Neurology and Aging Science, Kochi Medical School, Oko-cho, 783-8505, Nankoku-shi, Kochi, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Hirota", 
            "givenName": "Takayoshi", 
            "id": "sg:person.01141103055.34", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01141103055.34"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Cardiology, Neurology and Aging Science, Kochi Medical School, Oko-cho, 783-8505, Nankoku-shi, Kochi, Japan", 
              "id": "http://www.grid.ac/institutes/grid.415887.7", 
              "name": [
                "Department of Cardiology, Neurology and Aging Science, Kochi Medical School, Oko-cho, 783-8505, Nankoku-shi, Kochi, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Tanioka", 
            "givenName": "Katsutoshi", 
            "id": "sg:person.0641464775.06", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0641464775.06"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Cardiology, Neurology and Aging Science, Kochi Medical School, Oko-cho, 783-8505, Nankoku-shi, Kochi, Japan", 
              "id": "http://www.grid.ac/institutes/grid.415887.7", 
              "name": [
                "Department of Cardiology, Neurology and Aging Science, Kochi Medical School, Oko-cho, 783-8505, Nankoku-shi, Kochi, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Yamasaki", 
            "givenName": "Naohito", 
            "id": "sg:person.01176602147.55", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01176602147.55"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Laboratory Medicine, Kochi Medical School, Kochi, Japan", 
              "id": "http://www.grid.ac/institutes/grid.415887.7", 
              "name": [
                "Department of Laboratory Medicine, Kochi Medical School, Kochi, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Yamanaka", 
            "givenName": "Shigeo", 
            "id": "sg:person.01203264540.10", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01203264540.10"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Clinical Trial Center, Kochi Medical School, Kochi, Japan", 
              "id": "http://www.grid.ac/institutes/grid.415887.7", 
              "name": [
                "Clinical Trial Center, Kochi Medical School, Kochi, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Iiyama", 
            "givenName": "Tatsuo", 
            "id": "sg:person.0611356763.30", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0611356763.30"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Clinical Trial Center, Kochi Medical School, Kochi, Japan", 
              "id": "http://www.grid.ac/institutes/grid.415887.7", 
              "name": [
                "Clinical Trial Center, Kochi Medical School, Kochi, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kumagai", 
            "givenName": "Naoko", 
            "id": "sg:person.0763242273.07", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0763242273.07"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Cardiology, Neurology and Aging Science, Kochi Medical School, Oko-cho, 783-8505, Nankoku-shi, Kochi, Japan", 
              "id": "http://www.grid.ac/institutes/grid.415887.7", 
              "name": [
                "Department of Cardiology, Neurology and Aging Science, Kochi Medical School, Oko-cho, 783-8505, Nankoku-shi, Kochi, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Furuno", 
            "givenName": "Takashi", 
            "id": "sg:person.01115723141.24", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01115723141.24"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Laboratory Medicine, Kochi Medical School, Kochi, Japan", 
              "id": "http://www.grid.ac/institutes/grid.415887.7", 
              "name": [
                "Department of Laboratory Medicine, Kochi Medical School, Kochi, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Sugiura", 
            "givenName": "Tetsuro", 
            "id": "sg:person.0706420742.40", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0706420742.40"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Cardiology, Neurology and Aging Science, Kochi Medical School, Oko-cho, 783-8505, Nankoku-shi, Kochi, Japan", 
              "id": "http://www.grid.ac/institutes/grid.415887.7", 
              "name": [
                "Department of Cardiology, Neurology and Aging Science, Kochi Medical School, Oko-cho, 783-8505, Nankoku-shi, Kochi, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kitaoka", 
            "givenName": "Hiroaki", 
            "id": "sg:person.01203210357.49", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01203210357.49"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/s00392-007-0566-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045051177", 
              "https://doi.org/10.1007/s00392-007-0566-0"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2015-06-16", 
        "datePublishedReg": "2015-06-16", 
        "description": "BackgroundBecause infiltrative cardiomyopathy and hypertrophic cardiomyopathy (HCM) share clinical and hemodynamic features of left ventricular (LV) hypertrophy and abnormal diastolic function, it is often difficult to distinguish these entities.MethodsWe investigated the potential role of high-sensitivity cardiac troponin T (hs-cTnT) for differentiation of infiltrative cardiomyopathy from HCM.ResultsThe study group consisted of 46 consecutive patients with infiltrative cardiomyopathies or HCM in whom sarcomere protein gene mutations were identified at Kochi Medical School Hospital; of these, there were 11 patients with infiltrative cardiomyopathy (cardiac amyloidosis in 8 patients and Fabry disease in 3 patients) and 35 HCM patients. Serum hs-cTnT level was significantly higher in patients who had infiltrative cardiomyopathy than in those who had HCM (0.083\u2009\u00b1\u20090.057\u00a0ng/ml versus 0.027\u2009\u00b1\u20090.034\u00a0ng/ml, p\u2009<\u20090.001), whereas brain natriuretic peptide levels did not differ between the two groups. In two age-matched the 2 cohorts (patients evaluated at\u2009>\u200940\u00a0years at age), hs-cTnT level, maximum LV wall thickness, posterior wall thickness, peak early (E) transmitral filling velocity, peak early diastolic (Ea) velocity of tissue Doppler imaging at the lateral corner and E/Ea ratios at both the septal and lateral corners were significantly different between the two groups. As for diagnostic accuracy to differentiate the two groups by using receiver operating characteristic analysis, hs-cTnT was the highest value of area under the curve (0.939) and E/Ea (lateral) was second highest value (0.914).ConclusionsSerum hs-cTnT is a helpful diagnostic indicator for accurate differentiation between infiltrative cardiomyopathy and HCM.", 
        "genre": "article", 
        "id": "sg:pub.10.1186/s12872-015-0043-z", 
        "inLanguage": "en", 
        "isAccessibleForFree": true, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.5868421", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.6076055", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": [
          {
            "id": "sg:journal.1024935", 
            "issn": [
              "1471-2261"
            ], 
            "name": "BMC Cardiovascular Disorders", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "15"
          }
        ], 
        "keywords": [
          "high-sensitivity cardiac troponin T", 
          "hs-cTnT levels", 
          "infiltrative cardiomyopathy", 
          "cardiac troponin T", 
          "hs-cTnT", 
          "troponin T", 
          "brain natriuretic peptide levels", 
          "maximum LV wall thickness", 
          "sarcomere protein gene mutations", 
          "serum hs-cTnT levels", 
          "helpful diagnostic indicator", 
          "abnormal diastolic function", 
          "natriuretic peptide levels", 
          "early diastolic velocity", 
          "ResultsThe study group", 
          "left ventricular hypertrophy", 
          "posterior wall thickness", 
          "LV wall thickness", 
          "case-control study", 
          "Kochi Medical School Hospital", 
          "Medical School Hospital", 
          "lateral corner", 
          "protein gene mutations", 
          "diastolic function", 
          "consecutive patients", 
          "ventricular hypertrophy", 
          "diastolic velocity", 
          "HCM patients", 
          "tissue Doppler", 
          "hypertrophic cardiomyopathy", 
          "study group", 
          "School Hospital", 
          "peptide levels", 
          "cardiomyopathy", 
          "hemodynamic features", 
          "patients", 
          "diagnostic accuracy", 
          "gene mutations", 
          "wall thickness", 
          "potential role", 
          "diagnostic indicators", 
          "accurate differentiation", 
          "characteristic analysis", 
          "HCM", 
          "group", 
          "differentiation", 
          "hypertrophy", 
          "hospital", 
          "cohort", 
          "BackgroundBecause", 
          "MethodsWe", 
          "levels", 
          "Doppler", 
          "mutations", 
          "study", 
          "entities", 
          "role", 
          "higher values", 
          "indicators", 
          "function", 
          "values", 
          "ratio", 
          "receiver", 
          "curves", 
          "analysis", 
          "features", 
          "area", 
          "EA", 
          "thickness", 
          "peak", 
          "velocity", 
          "accuracy", 
          "share", 
          "corner"
        ], 
        "name": "Differentiation of infiltrative cardiomyopathy from hypertrophic cardiomyopathy using high-sensitivity cardiac troponin T: a case-control study", 
        "pagination": "53", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1021870616"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1186/s12872-015-0043-z"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "26077897"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1186/s12872-015-0043-z", 
          "https://app.dimensions.ai/details/publication/pub.1021870616"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-05-10T10:11", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20220509/entities/gbq_results/article/article_667.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1186/s12872-015-0043-z"
      }
    ]
     

    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/s12872-015-0043-z'

    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/s12872-015-0043-z'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12872-015-0043-z'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12872-015-0043-z'


     

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

    289 TRIPLES      22 PREDICATES      119 URIs      110 LITERALS      25 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1186/s12872-015-0043-z schema:about N181f3822c90b47c2ac74cf51ebfac3d3
    2 N1e9fd704fb924469b2d2c35754acee2c
    3 N29d45d43ba7b4819a510d7af82a0df6a
    4 N322c9837bd2342fbadf43bdbfa4a0f9e
    5 N41dea062f6dc4bfea04a82d2d089a6de
    6 N445b5e75c9704eebb34c95f23a84af09
    7 N4b89341585cd416fa8980e5483b8ca16
    8 N690b6cb7b21840a097d8cee692ce3d2e
    9 N733ca83ce3d143cea4360d96585e4bf5
    10 N838f302f7f784273bf124fb786e79507
    11 N8512563b73714aa09f71ca8667d1536b
    12 Nb5c83d54d37b4ce28ac5dea3a670acde
    13 Nbecec0a2f57e4634b5a02419b3e120d5
    14 Nbfabc44ecb94444abb1f571a3d93223a
    15 Ndb01b8dadd174db59bd0136a67e33529
    16 Ndc1d7b6fdee740849ff3a0de2f9e312e
    17 Nf0125ad5bed14932b9ff26f571c76759
    18 Nf8acf8424dd04053ad2b5730d9ace2ac
    19 anzsrc-for:11
    20 anzsrc-for:1102
    21 schema:author N9b6631d01c14499cbcbcb844c1e56a66
    22 schema:citation sg:pub.10.1007/s00392-007-0566-0
    23 schema:datePublished 2015-06-16
    24 schema:datePublishedReg 2015-06-16
    25 schema:description BackgroundBecause infiltrative cardiomyopathy and hypertrophic cardiomyopathy (HCM) share clinical and hemodynamic features of left ventricular (LV) hypertrophy and abnormal diastolic function, it is often difficult to distinguish these entities.MethodsWe investigated the potential role of high-sensitivity cardiac troponin T (hs-cTnT) for differentiation of infiltrative cardiomyopathy from HCM.ResultsThe study group consisted of 46 consecutive patients with infiltrative cardiomyopathies or HCM in whom sarcomere protein gene mutations were identified at Kochi Medical School Hospital; of these, there were 11 patients with infiltrative cardiomyopathy (cardiac amyloidosis in 8 patients and Fabry disease in 3 patients) and 35 HCM patients. Serum hs-cTnT level was significantly higher in patients who had infiltrative cardiomyopathy than in those who had HCM (0.083 ± 0.057 ng/ml versus 0.027 ± 0.034 ng/ml, p < 0.001), whereas brain natriuretic peptide levels did not differ between the two groups. In two age-matched the 2 cohorts (patients evaluated at > 40 years at age), hs-cTnT level, maximum LV wall thickness, posterior wall thickness, peak early (E) transmitral filling velocity, peak early diastolic (Ea) velocity of tissue Doppler imaging at the lateral corner and E/Ea ratios at both the septal and lateral corners were significantly different between the two groups. As for diagnostic accuracy to differentiate the two groups by using receiver operating characteristic analysis, hs-cTnT was the highest value of area under the curve (0.939) and E/Ea (lateral) was second highest value (0.914).ConclusionsSerum hs-cTnT is a helpful diagnostic indicator for accurate differentiation between infiltrative cardiomyopathy and HCM.
    26 schema:genre article
    27 schema:inLanguage en
    28 schema:isAccessibleForFree true
    29 schema:isPartOf Ndd22435fc72f40f4bfb8a47e9dda042f
    30 Necd4d3763feb409c8ca367e7c252b45c
    31 sg:journal.1024935
    32 schema:keywords BackgroundBecause
    33 Doppler
    34 EA
    35 HCM
    36 HCM patients
    37 Kochi Medical School Hospital
    38 LV wall thickness
    39 Medical School Hospital
    40 MethodsWe
    41 ResultsThe study group
    42 School Hospital
    43 abnormal diastolic function
    44 accuracy
    45 accurate differentiation
    46 analysis
    47 area
    48 brain natriuretic peptide levels
    49 cardiac troponin T
    50 cardiomyopathy
    51 case-control study
    52 characteristic analysis
    53 cohort
    54 consecutive patients
    55 corner
    56 curves
    57 diagnostic accuracy
    58 diagnostic indicators
    59 diastolic function
    60 diastolic velocity
    61 differentiation
    62 early diastolic velocity
    63 entities
    64 features
    65 function
    66 gene mutations
    67 group
    68 helpful diagnostic indicator
    69 hemodynamic features
    70 high-sensitivity cardiac troponin T
    71 higher values
    72 hospital
    73 hs-cTnT
    74 hs-cTnT levels
    75 hypertrophic cardiomyopathy
    76 hypertrophy
    77 indicators
    78 infiltrative cardiomyopathy
    79 lateral corner
    80 left ventricular hypertrophy
    81 levels
    82 maximum LV wall thickness
    83 mutations
    84 natriuretic peptide levels
    85 patients
    86 peak
    87 peptide levels
    88 posterior wall thickness
    89 potential role
    90 protein gene mutations
    91 ratio
    92 receiver
    93 role
    94 sarcomere protein gene mutations
    95 serum hs-cTnT levels
    96 share
    97 study
    98 study group
    99 thickness
    100 tissue Doppler
    101 troponin T
    102 values
    103 velocity
    104 ventricular hypertrophy
    105 wall thickness
    106 schema:name Differentiation of infiltrative cardiomyopathy from hypertrophic cardiomyopathy using high-sensitivity cardiac troponin T: a case-control study
    107 schema:pagination 53
    108 schema:productId N2a25ff28f4ab46dab9b4714f4b176125
    109 N344adb28a4c643c89ebedb688562c7b5
    110 N8974af855e834c1aa3f2602c96e2cb0a
    111 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021870616
    112 https://doi.org/10.1186/s12872-015-0043-z
    113 schema:sdDatePublished 2022-05-10T10:11
    114 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    115 schema:sdPublisher Ne86d66291afe46478aa7510101906d8d
    116 schema:url https://doi.org/10.1186/s12872-015-0043-z
    117 sgo:license sg:explorer/license/
    118 sgo:sdDataset articles
    119 rdf:type schema:ScholarlyArticle
    120 N181f3822c90b47c2ac74cf51ebfac3d3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    121 schema:name Adult
    122 rdf:type schema:DefinedTerm
    123 N1e9fd704fb924469b2d2c35754acee2c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    124 schema:name Fabry Disease
    125 rdf:type schema:DefinedTerm
    126 N26b9e9eaf33f49e490450a4bd7946b82 rdf:first sg:person.01203210357.49
    127 rdf:rest rdf:nil
    128 N29d45d43ba7b4819a510d7af82a0df6a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    129 schema:name Echocardiography, Doppler
    130 rdf:type schema:DefinedTerm
    131 N2a25ff28f4ab46dab9b4714f4b176125 schema:name doi
    132 schema:value 10.1186/s12872-015-0043-z
    133 rdf:type schema:PropertyValue
    134 N322c9837bd2342fbadf43bdbfa4a0f9e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    135 schema:name Diagnosis, Differential
    136 rdf:type schema:DefinedTerm
    137 N344adb28a4c643c89ebedb688562c7b5 schema:name pubmed_id
    138 schema:value 26077897
    139 rdf:type schema:PropertyValue
    140 N41dea062f6dc4bfea04a82d2d089a6de schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    141 schema:name Diastole
    142 rdf:type schema:DefinedTerm
    143 N445b5e75c9704eebb34c95f23a84af09 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    144 schema:name Middle Aged
    145 rdf:type schema:DefinedTerm
    146 N4b89341585cd416fa8980e5483b8ca16 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    147 schema:name Male
    148 rdf:type schema:DefinedTerm
    149 N51231156ec48477293a16c45415e53ab rdf:first sg:person.01141103055.34
    150 rdf:rest Na039b2c7185b45f78dc20f52ffa3da72
    151 N690b6cb7b21840a097d8cee692ce3d2e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    152 schema:name Cardiomyopathies
    153 rdf:type schema:DefinedTerm
    154 N733ca83ce3d143cea4360d96585e4bf5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    155 schema:name Ventricular Dysfunction, Left
    156 rdf:type schema:DefinedTerm
    157 N838f302f7f784273bf124fb786e79507 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    158 schema:name Humans
    159 rdf:type schema:DefinedTerm
    160 N8512563b73714aa09f71ca8667d1536b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    161 schema:name Case-Control Studies
    162 rdf:type schema:DefinedTerm
    163 N87363b091ece4acbbb3b60971b4cdf5d rdf:first sg:person.0612240723.34
    164 rdf:rest N51231156ec48477293a16c45415e53ab
    165 N8974af855e834c1aa3f2602c96e2cb0a schema:name dimensions_id
    166 schema:value pub.1021870616
    167 rdf:type schema:PropertyValue
    168 N94e527a558534f66a70068748a53a27a rdf:first sg:person.0706420742.40
    169 rdf:rest N26b9e9eaf33f49e490450a4bd7946b82
    170 N9681815868854c9598ef5472acc7e476 rdf:first sg:person.01115723141.24
    171 rdf:rest N94e527a558534f66a70068748a53a27a
    172 N9b6631d01c14499cbcbcb844c1e56a66 rdf:first sg:person.01130443161.31
    173 rdf:rest N87363b091ece4acbbb3b60971b4cdf5d
    174 Na039b2c7185b45f78dc20f52ffa3da72 rdf:first sg:person.0641464775.06
    175 rdf:rest Nc2e71ed9bf4f473f99863fed86d5dcaf
    176 Naebeb06b60b34a6085d824afb72c3943 rdf:first sg:person.0611356763.30
    177 rdf:rest Nff43c453d1fc4eaa91dff21a838fd116
    178 Nb5c83d54d37b4ce28ac5dea3a670acde schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    179 schema:name ROC Curve
    180 rdf:type schema:DefinedTerm
    181 Nbecec0a2f57e4634b5a02419b3e120d5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    182 schema:name Cardiomyopathy, Hypertrophic
    183 rdf:type schema:DefinedTerm
    184 Nbfabc44ecb94444abb1f571a3d93223a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    185 schema:name Amyloidosis
    186 rdf:type schema:DefinedTerm
    187 Nc2e71ed9bf4f473f99863fed86d5dcaf rdf:first sg:person.01176602147.55
    188 rdf:rest Ne43142b690144a579492d12e376713a7
    189 Ndb01b8dadd174db59bd0136a67e33529 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    190 schema:name Troponin T
    191 rdf:type schema:DefinedTerm
    192 Ndc1d7b6fdee740849ff3a0de2f9e312e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    193 schema:name Aged
    194 rdf:type schema:DefinedTerm
    195 Ndd22435fc72f40f4bfb8a47e9dda042f schema:volumeNumber 15
    196 rdf:type schema:PublicationVolume
    197 Ne43142b690144a579492d12e376713a7 rdf:first sg:person.01203264540.10
    198 rdf:rest Naebeb06b60b34a6085d824afb72c3943
    199 Ne86d66291afe46478aa7510101906d8d schema:name Springer Nature - SN SciGraph project
    200 rdf:type schema:Organization
    201 Necd4d3763feb409c8ca367e7c252b45c schema:issueNumber 1
    202 rdf:type schema:PublicationIssue
    203 Nf0125ad5bed14932b9ff26f571c76759 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    204 schema:name Hypertrophy, Left Ventricular
    205 rdf:type schema:DefinedTerm
    206 Nf8acf8424dd04053ad2b5730d9ace2ac schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    207 schema:name Female
    208 rdf:type schema:DefinedTerm
    209 Nff43c453d1fc4eaa91dff21a838fd116 rdf:first sg:person.0763242273.07
    210 rdf:rest N9681815868854c9598ef5472acc7e476
    211 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
    212 schema:name Medical and Health Sciences
    213 rdf:type schema:DefinedTerm
    214 anzsrc-for:1102 schema:inDefinedTermSet anzsrc-for:
    215 schema:name Cardiorespiratory Medicine and Haematology
    216 rdf:type schema:DefinedTerm
    217 sg:grant.5868421 http://pending.schema.org/fundedItem sg:pub.10.1186/s12872-015-0043-z
    218 rdf:type schema:MonetaryGrant
    219 sg:grant.6076055 http://pending.schema.org/fundedItem sg:pub.10.1186/s12872-015-0043-z
    220 rdf:type schema:MonetaryGrant
    221 sg:journal.1024935 schema:issn 1471-2261
    222 schema:name BMC Cardiovascular Disorders
    223 schema:publisher Springer Nature
    224 rdf:type schema:Periodical
    225 sg:person.01115723141.24 schema:affiliation grid-institutes:grid.415887.7
    226 schema:familyName Furuno
    227 schema:givenName Takashi
    228 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01115723141.24
    229 rdf:type schema:Person
    230 sg:person.01130443161.31 schema:affiliation grid-institutes:grid.415887.7
    231 schema:familyName Kubo
    232 schema:givenName Toru
    233 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01130443161.31
    234 rdf:type schema:Person
    235 sg:person.01141103055.34 schema:affiliation grid-institutes:grid.415887.7
    236 schema:familyName Hirota
    237 schema:givenName Takayoshi
    238 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01141103055.34
    239 rdf:type schema:Person
    240 sg:person.01176602147.55 schema:affiliation grid-institutes:grid.415887.7
    241 schema:familyName Yamasaki
    242 schema:givenName Naohito
    243 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01176602147.55
    244 rdf:type schema:Person
    245 sg:person.01203210357.49 schema:affiliation grid-institutes:grid.415887.7
    246 schema:familyName Kitaoka
    247 schema:givenName Hiroaki
    248 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01203210357.49
    249 rdf:type schema:Person
    250 sg:person.01203264540.10 schema:affiliation grid-institutes:grid.415887.7
    251 schema:familyName Yamanaka
    252 schema:givenName Shigeo
    253 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01203264540.10
    254 rdf:type schema:Person
    255 sg:person.0611356763.30 schema:affiliation grid-institutes:grid.415887.7
    256 schema:familyName Iiyama
    257 schema:givenName Tatsuo
    258 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0611356763.30
    259 rdf:type schema:Person
    260 sg:person.0612240723.34 schema:affiliation grid-institutes:grid.415887.7
    261 schema:familyName Baba
    262 schema:givenName Yuichi
    263 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0612240723.34
    264 rdf:type schema:Person
    265 sg:person.0641464775.06 schema:affiliation grid-institutes:grid.415887.7
    266 schema:familyName Tanioka
    267 schema:givenName Katsutoshi
    268 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0641464775.06
    269 rdf:type schema:Person
    270 sg:person.0706420742.40 schema:affiliation grid-institutes:grid.415887.7
    271 schema:familyName Sugiura
    272 schema:givenName Tetsuro
    273 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0706420742.40
    274 rdf:type schema:Person
    275 sg:person.0763242273.07 schema:affiliation grid-institutes:grid.415887.7
    276 schema:familyName Kumagai
    277 schema:givenName Naoko
    278 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0763242273.07
    279 rdf:type schema:Person
    280 sg:pub.10.1007/s00392-007-0566-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045051177
    281 https://doi.org/10.1007/s00392-007-0566-0
    282 rdf:type schema:CreativeWork
    283 grid-institutes:grid.415887.7 schema:alternateName Clinical Trial Center, Kochi Medical School, Kochi, Japan
    284 Department of Cardiology, Neurology and Aging Science, Kochi Medical School, Oko-cho, 783-8505, Nankoku-shi, Kochi, Japan
    285 Department of Laboratory Medicine, Kochi Medical School, Kochi, Japan
    286 schema:name Clinical Trial Center, Kochi Medical School, Kochi, Japan
    287 Department of Cardiology, Neurology and Aging Science, Kochi Medical School, Oko-cho, 783-8505, Nankoku-shi, Kochi, Japan
    288 Department of Laboratory Medicine, Kochi Medical School, Kochi, Japan
    289 rdf:type schema:Organization
     




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


    ...