Combination of extracellular volume fraction by cardiac magnetic resonance imaging and QRS duration for the risk stratification for patients with ... View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2020-05-16

AUTHORS

Sho Kodama, Shingo Kato, Keigo Hayakawa, Mai Azuma, Minako Kagimoto, Kohei Iguchi, Masahiro Fukuoka, Kazuki Fukui, Tae Iwasawa, Daisuke Utsunomiya, Masami Kosuge, Kazuo Kimura, Kouichi Tamura

ABSTRACT

The extracellular volume fraction (ECV) by T1 mapping can quantify diffuse myocardial fibrosis, and useful as a non-invasive marker for risk stratification for patients with non-ischemic dilated cardiomyopathy (NIDCM). Prolonged QRS interval on electrocardiogram is related to worse clinical outcome for heart failure patients. The purpose of this study was to evaluate the prognostic value of the combination of ECV and QRS duration for NIDCM patients. A total of 60 NIDCM patients (mean age 61 ± 12 years, mean left ventricular ejection fraction 37 ± 10%, mean QRS duration 110 ± 19 ms) were enrolled. Using a 1.5-T MR scanner and 32-channel cardiac coils, the mean ECV value of six myocardial segments at the mid-ventricular level was measured by the modified look-locker inversion recovery method. Adverse events were defined as follows: cardiac death; recurrent hospitalization due to heart failure. Patients were allocated into three groups based on ECV value and QRS duration (group 1: ECV ≦ 0.30 and QRS ≦ 120 ms; group 2: ECV > 0.30 or QRS > 120 ms; group 3: ECV > 0.30 and QRS > 120 ms). During a median follow-up duration of 370 days, 7 of 60 (12%) NIDCM patients experienced adverse events. NIDCM patients with events had longer QRS duration (134 ± 31 ms vs. 106 ± 14 ms, p = 0.01) and higher ECV (0.34 ± 0.07 vs 0.29 ± 0.05, p = 0.026) compared with those without events. On Kaplan–Meier curve analysis, significant difference was found between group 1 and group 3 (p < 0.001, log-rank test). No significant difference was found between group 1 and group 2 (p = 0.053), group 2 and group 3 (p = 0.115). The area under the receiver operating characteristic curve (AUC) for predicting adverse events was 0.778 (95% confidence interval CI 0.612–0.939) for ECV, 0.792 (95% CI 0.539–0.924) for QRS duration, 0.822 (95% CI 0.688–0.966) for combination of ECV and QRS duration. NIDCM patients with high ECV and prolonged QRS duration had significantly worse prognosis compared to those with normal ECV and normal QRS duration. The combination of ECV and QRS duration could be useful as a non-invasive method for better risk stratification for patients with NIDCM. More... »

PAGES

1439-1445

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00380-020-01618-9

DOI

http://dx.doi.org/10.1007/s00380-020-01618-9

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1127654499

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/32417957


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": "Action Potentials", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged, 80 and over", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cardiomyopathy, Dilated", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Disease Progression", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Electrocardiography", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Fibrosis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Heart Conduction System", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Heart Disease Risk Factors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Heart Rate", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Magnetic Resonance Imaging, Cine", 
        "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": "Myocardium", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Predictive Value of Tests", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prognosis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Reproducibility of Results", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Retrospective Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Risk Assessment", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Stroke Volume", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Ventricular Function, Left", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Cardiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Kanagawa, Japan", 
          "id": "http://www.grid.ac/institutes/grid.419708.3", 
          "name": [
            "Department of Cardiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Kanagawa, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kodama", 
        "givenName": "Sho", 
        "id": "sg:person.013056552235.96", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013056552235.96"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Cardiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Kanagawa, Japan", 
          "id": "http://www.grid.ac/institutes/grid.419708.3", 
          "name": [
            "Department of Cardiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Kanagawa, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kato", 
        "givenName": "Shingo", 
        "id": "sg:person.01360015547.94", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01360015547.94"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Cardiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Kanagawa, Japan", 
          "id": "http://www.grid.ac/institutes/grid.419708.3", 
          "name": [
            "Department of Cardiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Kanagawa, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hayakawa", 
        "givenName": "Keigo", 
        "id": "sg:person.014451513235.01", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014451513235.01"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Cardiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Kanagawa, Japan", 
          "id": "http://www.grid.ac/institutes/grid.419708.3", 
          "name": [
            "Department of Cardiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Kanagawa, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Azuma", 
        "givenName": "Mai", 
        "id": "sg:person.014111730201.09", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014111730201.09"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Cardiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Kanagawa, Japan", 
          "id": "http://www.grid.ac/institutes/grid.419708.3", 
          "name": [
            "Department of Cardiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Kanagawa, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kagimoto", 
        "givenName": "Minako", 
        "id": "sg:person.013163256365.13", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013163256365.13"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Cardiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Kanagawa, Japan", 
          "id": "http://www.grid.ac/institutes/grid.419708.3", 
          "name": [
            "Department of Cardiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Kanagawa, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Iguchi", 
        "givenName": "Kohei", 
        "id": "sg:person.0626105331.22", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0626105331.22"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Cardiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Kanagawa, Japan", 
          "id": "http://www.grid.ac/institutes/grid.419708.3", 
          "name": [
            "Department of Cardiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Kanagawa, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fukuoka", 
        "givenName": "Masahiro", 
        "id": "sg:person.0722226332.32", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0722226332.32"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Cardiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Kanagawa, Japan", 
          "id": "http://www.grid.ac/institutes/grid.419708.3", 
          "name": [
            "Department of Cardiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Kanagawa, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fukui", 
        "givenName": "Kazuki", 
        "id": "sg:person.0650622624.12", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0650622624.12"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Radiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Kanagawa, Japan", 
          "id": "http://www.grid.ac/institutes/grid.419708.3", 
          "name": [
            "Department of Radiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Kanagawa, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Iwasawa", 
        "givenName": "Tae", 
        "id": "sg:person.0775461372.89", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0775461372.89"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Radiology, Yokohama City University, Yokohama, Kanagawa, Japan", 
          "id": "http://www.grid.ac/institutes/grid.268441.d", 
          "name": [
            "Department of Radiology, Yokohama City University, Yokohama, Kanagawa, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Utsunomiya", 
        "givenName": "Daisuke", 
        "id": "sg:person.01057517177.81", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01057517177.81"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Cardiology, Yokohama City University Medical Center, Yokohama, Kanagawa, Japan", 
          "id": "http://www.grid.ac/institutes/grid.413045.7", 
          "name": [
            "Department of Cardiology, Yokohama City University Medical Center, Yokohama, Kanagawa, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kosuge", 
        "givenName": "Masami", 
        "id": "sg:person.01046454325.76", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01046454325.76"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Cardiology, Yokohama City University Medical Center, Yokohama, Kanagawa, Japan", 
          "id": "http://www.grid.ac/institutes/grid.413045.7", 
          "name": [
            "Department of Cardiology, Yokohama City University Medical Center, Yokohama, Kanagawa, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kimura", 
        "givenName": "Kazuo", 
        "id": "sg:person.016170645072.55", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016170645072.55"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Medical Science and Cardiorenal Medicine, Yokohama City University, Yokohama, Kanagawa, Japan", 
          "id": "http://www.grid.ac/institutes/grid.268441.d", 
          "name": [
            "Department of Medical Science and Cardiorenal Medicine, Yokohama City University, Yokohama, Kanagawa, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tamura", 
        "givenName": "Kouichi", 
        "id": "sg:person.013174322507.05", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013174322507.05"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1186/s12968-017-0389-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092132740", 
          "https://doi.org/10.1186/s12968-017-0389-8"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2020-05-16", 
    "datePublishedReg": "2020-05-16", 
    "description": "The extracellular volume fraction (ECV) by T1 mapping can quantify diffuse myocardial fibrosis, and useful as a non-invasive marker for risk stratification for patients with non-ischemic dilated cardiomyopathy (NIDCM). Prolonged QRS interval on electrocardiogram is related to worse clinical outcome for heart failure patients. The purpose of this study was to evaluate the prognostic value of the combination of ECV and QRS duration for NIDCM patients. A total of 60 NIDCM patients (mean age 61\u2009\u00b1\u200912\u00a0years, mean left ventricular ejection fraction 37\u2009\u00b1\u200910%, mean QRS duration 110\u2009\u00b1\u200919\u00a0ms) were enrolled. Using a 1.5-T MR scanner and 32-channel cardiac coils, the mean ECV value of six myocardial segments at the mid-ventricular level was measured by the modified look-locker inversion recovery method. Adverse events were defined as follows: cardiac death; recurrent hospitalization due to heart failure. Patients were allocated into three groups based on ECV value and QRS duration (group 1: ECV\u00a0\u2266\u00a00.30 and QRS\u00a0\u2266\u00a0120\u00a0ms; group 2: ECV\u2009>\u20090.30 or QRS\u2009>\u2009120\u00a0ms; group 3: ECV\u2009>\u20090.30 and QRS\u2009>\u2009120\u00a0ms). During a median follow-up duration of 370\u00a0days, 7 of 60 (12%) NIDCM patients experienced adverse events. NIDCM patients with events had longer QRS duration (134\u2009\u00b1\u200931\u00a0ms vs. 106\u2009\u00b1\u200914\u00a0ms, p\u2009=\u20090.01) and higher ECV (0.34\u2009\u00b1\u20090.07 vs 0.29\u2009\u00b1\u20090.05, p\u2009=\u20090.026) compared with those without events. On Kaplan\u2013Meier curve analysis, significant difference was found between group 1 and group 3 (p\u2009<\u20090.001, log-rank test). No significant difference was found between group 1 and group 2 (p\u2009=\u20090.053), group 2 and group 3 (p\u2009=\u20090.115). The area under the receiver operating characteristic curve (AUC) for predicting adverse events was 0.778 (95% confidence interval CI 0.612\u20130.939) for ECV, 0.792 (95% CI 0.539\u20130.924) for QRS duration, 0.822 (95% CI 0.688\u20130.966) for combination of ECV and QRS duration. NIDCM patients with high ECV and prolonged QRS duration had significantly worse prognosis compared to those with normal ECV and normal QRS duration. The combination of ECV and QRS duration could be useful as a non-invasive method for better risk stratification for patients with NIDCM.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s00380-020-01618-9", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1095887", 
        "issn": [
          "0910-8327", 
          "1615-2573"
        ], 
        "name": "Heart and Vessels", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "10", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "35"
      }
    ], 
    "keywords": [
      "extracellular volume fraction", 
      "higher extracellular volume fractions", 
      "NIDCM patients", 
      "QRS duration", 
      "adverse events", 
      "risk stratification", 
      "group 2", 
      "group 1", 
      "group 3", 
      "Kaplan-Meier curve analysis", 
      "cardiac magnetic resonance imaging", 
      "worse clinical outcomes", 
      "heart failure patients", 
      "normal QRS duration", 
      "better risk stratification", 
      "longer QRS duration", 
      "non-invasive marker", 
      "mid-ventricular level", 
      "mean ECV values", 
      "ECV values", 
      "significant differences", 
      "magnetic resonance imaging", 
      "median follow", 
      "failure patients", 
      "cardiac death", 
      "heart failure", 
      "clinical outcomes", 
      "recurrent hospitalizations", 
      "prognostic value", 
      "worse prognosis", 
      "non-invasive method", 
      "myocardial fibrosis", 
      "QRS interval", 
      "myocardial segments", 
      "patients", 
      "resonance imaging", 
      "curve analysis", 
      "characteristic curve", 
      "T1 mapping", 
      "duration", 
      "cardiac coil", 
      "MR scanner", 
      "stratification", 
      "NIDCM", 
      "hospitalization", 
      "prognosis", 
      "cardiomyopathy", 
      "fibrosis", 
      "follow", 
      "electrocardiogram", 
      "death", 
      "events", 
      "outcomes", 
      "total", 
      "differences", 
      "markers", 
      "days", 
      "combination", 
      "imaging", 
      "failure", 
      "group", 
      "interval", 
      "levels", 
      "inversion recovery method", 
      "study", 
      "fraction", 
      "segments", 
      "values", 
      "scanner", 
      "purpose", 
      "receiver", 
      "curves", 
      "method", 
      "analysis", 
      "area", 
      "coil", 
      "mapping", 
      "volume fraction", 
      "recovery method"
    ], 
    "name": "Combination of extracellular volume fraction by cardiac magnetic resonance imaging and QRS duration for the risk stratification for patients with non-ischemic dilated cardiomyopathy", 
    "pagination": "1439-1445", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1127654499"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00380-020-01618-9"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "32417957"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00380-020-01618-9", 
      "https://app.dimensions.ai/details/publication/pub.1127654499"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-11-24T21:06", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20221124/entities/gbq_results/article/article_869.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s00380-020-01618-9"
  }
]
 

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/s00380-020-01618-9'

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/s00380-020-01618-9'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00380-020-01618-9'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00380-020-01618-9'


 

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

330 TRIPLES      21 PREDICATES      128 URIs      119 LITERALS      30 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00380-020-01618-9 schema:about N11c63ab5910145e797aa9172414c102f
2 N138ccf52683e4581845d3c7b3986212c
3 N183532ef47a049c2ba0bec99da55c2a7
4 N1c499293a1a749b987bf455eac829abf
5 N25c3806a889143979d79591ddebb16b0
6 N2ab94656462540ac9ded6f9356926b00
7 N30490045d1e14c0e80221d9894badfee
8 N30f62b9508344aa58e6758fd2642431e
9 N3401e17bfaef4c93a9e1fc685686c8b2
10 N4870a42a89074f8fbfc85ed83dab70c0
11 N4f54519f262b4b49906e7436d32826e4
12 N50b96a6098764e588a837b017d9ede15
13 N5203fd74a25e4966a51c4cc3e8736291
14 N54d371b4f7d943e49c2799525720150e
15 N65fa207c592240078e3ec5f9ed68fbe0
16 N9880587b4a13455cb9063cd0e09cbda6
17 Nad7f2417eaeb406ea2fcdf9c201e846a
18 Nae2c5554150b4800ac78d424827bd8a6
19 Nafe76bddbef3444085d9b597aad078ce
20 Nb09618cf1f924b1597d88d75d7973974
21 Nf1291964870c4cddb53eb4756158b6d8
22 Nf35774c9e9424075838a978740422ea6
23 Nf8de88a08006425ea331707f6b214daa
24 anzsrc-for:11
25 anzsrc-for:1102
26 schema:author N8cb6ab5494d9424c9a7202b1c852ba52
27 schema:citation sg:pub.10.1186/s12968-017-0389-8
28 schema:datePublished 2020-05-16
29 schema:datePublishedReg 2020-05-16
30 schema:description The extracellular volume fraction (ECV) by T1 mapping can quantify diffuse myocardial fibrosis, and useful as a non-invasive marker for risk stratification for patients with non-ischemic dilated cardiomyopathy (NIDCM). Prolonged QRS interval on electrocardiogram is related to worse clinical outcome for heart failure patients. The purpose of this study was to evaluate the prognostic value of the combination of ECV and QRS duration for NIDCM patients. A total of 60 NIDCM patients (mean age 61 ± 12 years, mean left ventricular ejection fraction 37 ± 10%, mean QRS duration 110 ± 19 ms) were enrolled. Using a 1.5-T MR scanner and 32-channel cardiac coils, the mean ECV value of six myocardial segments at the mid-ventricular level was measured by the modified look-locker inversion recovery method. Adverse events were defined as follows: cardiac death; recurrent hospitalization due to heart failure. Patients were allocated into three groups based on ECV value and QRS duration (group 1: ECV ≦ 0.30 and QRS ≦ 120 ms; group 2: ECV > 0.30 or QRS > 120 ms; group 3: ECV > 0.30 and QRS > 120 ms). During a median follow-up duration of 370 days, 7 of 60 (12%) NIDCM patients experienced adverse events. NIDCM patients with events had longer QRS duration (134 ± 31 ms vs. 106 ± 14 ms, p = 0.01) and higher ECV (0.34 ± 0.07 vs 0.29 ± 0.05, p = 0.026) compared with those without events. On Kaplan–Meier curve analysis, significant difference was found between group 1 and group 3 (p < 0.001, log-rank test). No significant difference was found between group 1 and group 2 (p = 0.053), group 2 and group 3 (p = 0.115). The area under the receiver operating characteristic curve (AUC) for predicting adverse events was 0.778 (95% confidence interval CI 0.612–0.939) for ECV, 0.792 (95% CI 0.539–0.924) for QRS duration, 0.822 (95% CI 0.688–0.966) for combination of ECV and QRS duration. NIDCM patients with high ECV and prolonged QRS duration had significantly worse prognosis compared to those with normal ECV and normal QRS duration. The combination of ECV and QRS duration could be useful as a non-invasive method for better risk stratification for patients with NIDCM.
31 schema:genre article
32 schema:isAccessibleForFree false
33 schema:isPartOf N40a9c2572de64c18a1889e0770a7369e
34 Neaf4c3f5b61142c0a122013210cd5e40
35 sg:journal.1095887
36 schema:keywords ECV values
37 Kaplan-Meier curve analysis
38 MR scanner
39 NIDCM
40 NIDCM patients
41 QRS duration
42 QRS interval
43 T1 mapping
44 adverse events
45 analysis
46 area
47 better risk stratification
48 cardiac coil
49 cardiac death
50 cardiac magnetic resonance imaging
51 cardiomyopathy
52 characteristic curve
53 clinical outcomes
54 coil
55 combination
56 curve analysis
57 curves
58 days
59 death
60 differences
61 duration
62 electrocardiogram
63 events
64 extracellular volume fraction
65 failure
66 failure patients
67 fibrosis
68 follow
69 fraction
70 group
71 group 1
72 group 2
73 group 3
74 heart failure
75 heart failure patients
76 higher extracellular volume fractions
77 hospitalization
78 imaging
79 interval
80 inversion recovery method
81 levels
82 longer QRS duration
83 magnetic resonance imaging
84 mapping
85 markers
86 mean ECV values
87 median follow
88 method
89 mid-ventricular level
90 myocardial fibrosis
91 myocardial segments
92 non-invasive marker
93 non-invasive method
94 normal QRS duration
95 outcomes
96 patients
97 prognosis
98 prognostic value
99 purpose
100 receiver
101 recovery method
102 recurrent hospitalizations
103 resonance imaging
104 risk stratification
105 scanner
106 segments
107 significant differences
108 stratification
109 study
110 total
111 values
112 volume fraction
113 worse clinical outcomes
114 worse prognosis
115 schema:name Combination of extracellular volume fraction by cardiac magnetic resonance imaging and QRS duration for the risk stratification for patients with non-ischemic dilated cardiomyopathy
116 schema:pagination 1439-1445
117 schema:productId N0afa4fa2375e4529a4361084324afd9b
118 N235eb0e82ae7462e9949c229f5f5ca4a
119 N75e8235a5f9149f2bc53b1b990ef431e
120 schema:sameAs https://app.dimensions.ai/details/publication/pub.1127654499
121 https://doi.org/10.1007/s00380-020-01618-9
122 schema:sdDatePublished 2022-11-24T21:06
123 schema:sdLicense https://scigraph.springernature.com/explorer/license/
124 schema:sdPublisher N3be50b973a56401e90b1295d81b6ad84
125 schema:url https://doi.org/10.1007/s00380-020-01618-9
126 sgo:license sg:explorer/license/
127 sgo:sdDataset articles
128 rdf:type schema:ScholarlyArticle
129 N011566977fd34d4e9550bd55df2226e3 rdf:first sg:person.0650622624.12
130 rdf:rest N1c02b57c8c0d49f19f2a43b1e0b9798d
131 N01e6b55923894fb1a24d652ca85619e8 rdf:first sg:person.0626105331.22
132 rdf:rest N46ea05291c2448489f659300d2a18e56
133 N0afa4fa2375e4529a4361084324afd9b schema:name dimensions_id
134 schema:value pub.1127654499
135 rdf:type schema:PropertyValue
136 N11c63ab5910145e797aa9172414c102f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
137 schema:name Ventricular Function, Left
138 rdf:type schema:DefinedTerm
139 N138ccf52683e4581845d3c7b3986212c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
140 schema:name Stroke Volume
141 rdf:type schema:DefinedTerm
142 N15f9925d5f714c81a9b053eeb6e3d7a5 rdf:first sg:person.014451513235.01
143 rdf:rest Ne89576f01fab42fd818102fda0cebbde
144 N183532ef47a049c2ba0bec99da55c2a7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
145 schema:name Reproducibility of Results
146 rdf:type schema:DefinedTerm
147 N1c02b57c8c0d49f19f2a43b1e0b9798d rdf:first sg:person.0775461372.89
148 rdf:rest Nde3b84d427324f5b9ee8a49a4edcc246
149 N1c499293a1a749b987bf455eac829abf schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
150 schema:name Predictive Value of Tests
151 rdf:type schema:DefinedTerm
152 N235eb0e82ae7462e9949c229f5f5ca4a schema:name doi
153 schema:value 10.1007/s00380-020-01618-9
154 rdf:type schema:PropertyValue
155 N25c3806a889143979d79591ddebb16b0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
156 schema:name Heart Conduction System
157 rdf:type schema:DefinedTerm
158 N2ab94656462540ac9ded6f9356926b00 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
159 schema:name Female
160 rdf:type schema:DefinedTerm
161 N30490045d1e14c0e80221d9894badfee schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
162 schema:name Middle Aged
163 rdf:type schema:DefinedTerm
164 N30f62b9508344aa58e6758fd2642431e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
165 schema:name Magnetic Resonance Imaging, Cine
166 rdf:type schema:DefinedTerm
167 N3401e17bfaef4c93a9e1fc685686c8b2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
168 schema:name Humans
169 rdf:type schema:DefinedTerm
170 N3be50b973a56401e90b1295d81b6ad84 schema:name Springer Nature - SN SciGraph project
171 rdf:type schema:Organization
172 N40a9c2572de64c18a1889e0770a7369e schema:volumeNumber 35
173 rdf:type schema:PublicationVolume
174 N46ea05291c2448489f659300d2a18e56 rdf:first sg:person.0722226332.32
175 rdf:rest N011566977fd34d4e9550bd55df2226e3
176 N4870a42a89074f8fbfc85ed83dab70c0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
177 schema:name Male
178 rdf:type schema:DefinedTerm
179 N4f54519f262b4b49906e7436d32826e4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
180 schema:name Retrospective Studies
181 rdf:type schema:DefinedTerm
182 N50b96a6098764e588a837b017d9ede15 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
183 schema:name Fibrosis
184 rdf:type schema:DefinedTerm
185 N5203fd74a25e4966a51c4cc3e8736291 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
186 schema:name Action Potentials
187 rdf:type schema:DefinedTerm
188 N54d371b4f7d943e49c2799525720150e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
189 schema:name Myocardium
190 rdf:type schema:DefinedTerm
191 N65fa207c592240078e3ec5f9ed68fbe0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
192 schema:name Risk Assessment
193 rdf:type schema:DefinedTerm
194 N75e8235a5f9149f2bc53b1b990ef431e schema:name pubmed_id
195 schema:value 32417957
196 rdf:type schema:PropertyValue
197 N8a8c2eeb467d44328cd0f1b9f254e38a rdf:first sg:person.01046454325.76
198 rdf:rest N99143719005c412f9cd9b462c4516553
199 N8baf1dedfba342b5adf04494b0c6f88b rdf:first sg:person.01360015547.94
200 rdf:rest N15f9925d5f714c81a9b053eeb6e3d7a5
201 N8cb6ab5494d9424c9a7202b1c852ba52 rdf:first sg:person.013056552235.96
202 rdf:rest N8baf1dedfba342b5adf04494b0c6f88b
203 N947bdb0bdeec4df69b73940116d7341e rdf:first sg:person.013163256365.13
204 rdf:rest N01e6b55923894fb1a24d652ca85619e8
205 N9880587b4a13455cb9063cd0e09cbda6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
206 schema:name Disease Progression
207 rdf:type schema:DefinedTerm
208 N99143719005c412f9cd9b462c4516553 rdf:first sg:person.016170645072.55
209 rdf:rest Nef2750bd82694281ba42daecda03901e
210 Nad7f2417eaeb406ea2fcdf9c201e846a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
211 schema:name Cardiomyopathy, Dilated
212 rdf:type schema:DefinedTerm
213 Nae2c5554150b4800ac78d424827bd8a6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
214 schema:name Heart Rate
215 rdf:type schema:DefinedTerm
216 Nafe76bddbef3444085d9b597aad078ce schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
217 schema:name Prognosis
218 rdf:type schema:DefinedTerm
219 Nb09618cf1f924b1597d88d75d7973974 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
220 schema:name Heart Disease Risk Factors
221 rdf:type schema:DefinedTerm
222 Nde3b84d427324f5b9ee8a49a4edcc246 rdf:first sg:person.01057517177.81
223 rdf:rest N8a8c2eeb467d44328cd0f1b9f254e38a
224 Ne89576f01fab42fd818102fda0cebbde rdf:first sg:person.014111730201.09
225 rdf:rest N947bdb0bdeec4df69b73940116d7341e
226 Neaf4c3f5b61142c0a122013210cd5e40 schema:issueNumber 10
227 rdf:type schema:PublicationIssue
228 Nef2750bd82694281ba42daecda03901e rdf:first sg:person.013174322507.05
229 rdf:rest rdf:nil
230 Nf1291964870c4cddb53eb4756158b6d8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
231 schema:name Aged
232 rdf:type schema:DefinedTerm
233 Nf35774c9e9424075838a978740422ea6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
234 schema:name Aged, 80 and over
235 rdf:type schema:DefinedTerm
236 Nf8de88a08006425ea331707f6b214daa schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
237 schema:name Electrocardiography
238 rdf:type schema:DefinedTerm
239 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
240 schema:name Medical and Health Sciences
241 rdf:type schema:DefinedTerm
242 anzsrc-for:1102 schema:inDefinedTermSet anzsrc-for:
243 schema:name Cardiorespiratory Medicine and Haematology
244 rdf:type schema:DefinedTerm
245 sg:journal.1095887 schema:issn 0910-8327
246 1615-2573
247 schema:name Heart and Vessels
248 schema:publisher Springer Nature
249 rdf:type schema:Periodical
250 sg:person.01046454325.76 schema:affiliation grid-institutes:grid.413045.7
251 schema:familyName Kosuge
252 schema:givenName Masami
253 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01046454325.76
254 rdf:type schema:Person
255 sg:person.01057517177.81 schema:affiliation grid-institutes:grid.268441.d
256 schema:familyName Utsunomiya
257 schema:givenName Daisuke
258 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01057517177.81
259 rdf:type schema:Person
260 sg:person.013056552235.96 schema:affiliation grid-institutes:grid.419708.3
261 schema:familyName Kodama
262 schema:givenName Sho
263 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013056552235.96
264 rdf:type schema:Person
265 sg:person.013163256365.13 schema:affiliation grid-institutes:grid.419708.3
266 schema:familyName Kagimoto
267 schema:givenName Minako
268 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013163256365.13
269 rdf:type schema:Person
270 sg:person.013174322507.05 schema:affiliation grid-institutes:grid.268441.d
271 schema:familyName Tamura
272 schema:givenName Kouichi
273 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013174322507.05
274 rdf:type schema:Person
275 sg:person.01360015547.94 schema:affiliation grid-institutes:grid.419708.3
276 schema:familyName Kato
277 schema:givenName Shingo
278 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01360015547.94
279 rdf:type schema:Person
280 sg:person.014111730201.09 schema:affiliation grid-institutes:grid.419708.3
281 schema:familyName Azuma
282 schema:givenName Mai
283 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014111730201.09
284 rdf:type schema:Person
285 sg:person.014451513235.01 schema:affiliation grid-institutes:grid.419708.3
286 schema:familyName Hayakawa
287 schema:givenName Keigo
288 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014451513235.01
289 rdf:type schema:Person
290 sg:person.016170645072.55 schema:affiliation grid-institutes:grid.413045.7
291 schema:familyName Kimura
292 schema:givenName Kazuo
293 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016170645072.55
294 rdf:type schema:Person
295 sg:person.0626105331.22 schema:affiliation grid-institutes:grid.419708.3
296 schema:familyName Iguchi
297 schema:givenName Kohei
298 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0626105331.22
299 rdf:type schema:Person
300 sg:person.0650622624.12 schema:affiliation grid-institutes:grid.419708.3
301 schema:familyName Fukui
302 schema:givenName Kazuki
303 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0650622624.12
304 rdf:type schema:Person
305 sg:person.0722226332.32 schema:affiliation grid-institutes:grid.419708.3
306 schema:familyName Fukuoka
307 schema:givenName Masahiro
308 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0722226332.32
309 rdf:type schema:Person
310 sg:person.0775461372.89 schema:affiliation grid-institutes:grid.419708.3
311 schema:familyName Iwasawa
312 schema:givenName Tae
313 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0775461372.89
314 rdf:type schema:Person
315 sg:pub.10.1186/s12968-017-0389-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092132740
316 https://doi.org/10.1186/s12968-017-0389-8
317 rdf:type schema:CreativeWork
318 grid-institutes:grid.268441.d schema:alternateName Department of Medical Science and Cardiorenal Medicine, Yokohama City University, Yokohama, Kanagawa, Japan
319 Department of Radiology, Yokohama City University, Yokohama, Kanagawa, Japan
320 schema:name Department of Medical Science and Cardiorenal Medicine, Yokohama City University, Yokohama, Kanagawa, Japan
321 Department of Radiology, Yokohama City University, Yokohama, Kanagawa, Japan
322 rdf:type schema:Organization
323 grid-institutes:grid.413045.7 schema:alternateName Department of Cardiology, Yokohama City University Medical Center, Yokohama, Kanagawa, Japan
324 schema:name Department of Cardiology, Yokohama City University Medical Center, Yokohama, Kanagawa, Japan
325 rdf:type schema:Organization
326 grid-institutes:grid.419708.3 schema:alternateName Department of Cardiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Kanagawa, Japan
327 Department of Radiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Kanagawa, Japan
328 schema:name Department of Cardiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Kanagawa, Japan
329 Department of Radiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Kanagawa, Japan
330 rdf:type schema:Organization
 




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


...