Increased epicardial adipose tissue thickness is a predictor of new-onset diabetes mellitus in patients with coronary artery disease treated with ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-01-11

AUTHORS

Jeehoon Kang, Young-Chan Kim, Jin Joo Park, Sehun Kim, Si-Hyuck Kang, Young Jin Cho, Yeonyee E. Yoon, Il-Young Oh, Chang-Hwan Yoon, Jung-Won Suh, Young-Seok Cho, Tae-Jin Youn, In-Ho Chae, Dong-Ju Choi

ABSTRACT

BACKGROUND: Statins are widely used for lipid lowering in patients with coronary artery disease (CAD), but increasing evidence indicates an association between statin use and new-onset of diabetes mellitus (NODM). Epicardial adipose tissue (EAT) refers to the visceral fat surrounding the heart, which is associated with metabolic diseases. We sought to determine the association between EAT thickness and NODM in CAD patients treated with high-intensity statins. METHODS: We conducted a retrospective medical record review of CAD patients treated with high-intensity statins for at least 6 months after percutaneous coronary intervention performed between January 2009 and June 2013 at Seoul National University Bundang Hospital. EAT thickness was measured by echocardiography using standardized methods. RESULTS: A total of 321 patients were enrolled, who received high-intensity statins for a mean of 952 days; atorvastatin 40 mg in 204 patients (63.6%), atorvastatin 80 mg in 57 patients (17.8%), and rosuvastatin 20 mg in 60 patients (18.7%). During the follow-up period of 3.9 ± 1.7 years, NODM occurred in 40 patients (12.5%). On Cox proportional-hazard regression analysis, EAT thickness at systole [for each 1 mm: hazard ratio (HR) 1.580; 95% confidence interval (CI) 1.346-1.854; P < 0.001] and prediabetes at baseline (HR 4.321; 95% CI 1.998-9.349; P < 0.001) were the only independent predictors of NODM. Using binary cutoff values derived from the receiver operating characteristic curve analysis, EAT thickness at systole larger than 5.0 mm had an HR of 3.402 (95% CI 1.751-6.611, P < 0.001), sensitivity of 52.5%, and specificity of 80.8% for predicting NODM. Also, patients with EAT thickness ≥ 5 mm and prediabetes at baseline had a 12.0-times higher risk of developing NODM compared to the risk noted in patients with EAT thickness < 5 mm and normal glucose tolerance at baseline. CONCLUSION: Epicardial adipose tissue thickness at systole is a consistent independent predictor of NODM in patients with CAD treated with high-intensity statins. Such predictors may help physicians plan adequate surveillance for early detection of NODM. More... »

PAGES

10

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12933-017-0650-3

DOI

http://dx.doi.org/10.1186/s12933-017-0650-3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1100315518

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29325562


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/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adipose Tissue", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Atorvastatin", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Coronary Artery Disease", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Diabetes Mellitus", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Echocardiography", 
        "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": "Hydroxymethylglutaryl-CoA Reductase Inhibitors", 
        "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": "Pericardium", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Predictive Value of Tests", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Retrospective Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Risk Factors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Rosuvastatin Calcium", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Seoul", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Time Factors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Treatment Outcome", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea", 
          "id": "http://www.grid.ac/institutes/grid.412484.f", 
          "name": [
            "Department of Internal Medicine, Seoul National University Bundang Hospital, 82 Gumiro173 Beongil, Bundang, Seongnam, Gyeonggi 13620 South Korea", 
            "Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kang", 
        "givenName": "Jeehoon", 
        "id": "sg:person.01025305045.32", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01025305045.32"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea", 
          "id": "http://www.grid.ac/institutes/grid.412484.f", 
          "name": [
            "Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Young-Chan", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Internal Medicine, Seoul National University Bundang Hospital, 82 Gumiro173 Beongil, Bundang, Seongnam, Gyeonggi 13620 South Korea", 
          "id": "http://www.grid.ac/institutes/grid.412480.b", 
          "name": [
            "Department of Internal Medicine, Seoul National University Bundang Hospital, 82 Gumiro173 Beongil, Bundang, Seongnam, Gyeonggi 13620 South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Park", 
        "givenName": "Jin Joo", 
        "id": "sg:person.0716716015.82", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0716716015.82"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Division of Cardiology, Hallym University Hangang Sacred Heart Hospital, Seoul, South Korea", 
          "id": "http://www.grid.ac/institutes/grid.413641.5", 
          "name": [
            "Division of Cardiology, Hallym University Hangang Sacred Heart Hospital, Seoul, South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Sehun", 
        "id": "sg:person.012720622607.06", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012720622607.06"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Internal Medicine, Seoul National University Bundang Hospital, 82 Gumiro173 Beongil, Bundang, Seongnam, Gyeonggi 13620 South Korea", 
          "id": "http://www.grid.ac/institutes/grid.412480.b", 
          "name": [
            "Department of Internal Medicine, Seoul National University Bundang Hospital, 82 Gumiro173 Beongil, Bundang, Seongnam, Gyeonggi 13620 South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kang", 
        "givenName": "Si-Hyuck", 
        "id": "sg:person.0666067133.85", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0666067133.85"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Internal Medicine, Seoul National University Bundang Hospital, 82 Gumiro173 Beongil, Bundang, Seongnam, Gyeonggi 13620 South Korea", 
          "id": "http://www.grid.ac/institutes/grid.412480.b", 
          "name": [
            "Department of Internal Medicine, Seoul National University Bundang Hospital, 82 Gumiro173 Beongil, Bundang, Seongnam, Gyeonggi 13620 South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cho", 
        "givenName": "Young Jin", 
        "id": "sg:person.015043677217.46", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015043677217.46"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Internal Medicine, Seoul National University Bundang Hospital, 82 Gumiro173 Beongil, Bundang, Seongnam, Gyeonggi 13620 South Korea", 
          "id": "http://www.grid.ac/institutes/grid.412480.b", 
          "name": [
            "Department of Internal Medicine, Seoul National University Bundang Hospital, 82 Gumiro173 Beongil, Bundang, Seongnam, Gyeonggi 13620 South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yoon", 
        "givenName": "Yeonyee E.", 
        "id": "sg:person.01144574663.02", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01144574663.02"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Internal Medicine, Seoul National University Bundang Hospital, 82 Gumiro173 Beongil, Bundang, Seongnam, Gyeonggi 13620 South Korea", 
          "id": "http://www.grid.ac/institutes/grid.412480.b", 
          "name": [
            "Department of Internal Medicine, Seoul National University Bundang Hospital, 82 Gumiro173 Beongil, Bundang, Seongnam, Gyeonggi 13620 South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Oh", 
        "givenName": "Il-Young", 
        "id": "sg:person.01157552667.31", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01157552667.31"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Internal Medicine, Seoul National University Bundang Hospital, 82 Gumiro173 Beongil, Bundang, Seongnam, Gyeonggi 13620 South Korea", 
          "id": "http://www.grid.ac/institutes/grid.412480.b", 
          "name": [
            "Department of Internal Medicine, Seoul National University Bundang Hospital, 82 Gumiro173 Beongil, Bundang, Seongnam, Gyeonggi 13620 South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yoon", 
        "givenName": "Chang-Hwan", 
        "id": "sg:person.01002315533.55", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01002315533.55"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Internal Medicine, Seoul National University Bundang Hospital, 82 Gumiro173 Beongil, Bundang, Seongnam, Gyeonggi 13620 South Korea", 
          "id": "http://www.grid.ac/institutes/grid.412480.b", 
          "name": [
            "Department of Internal Medicine, Seoul National University Bundang Hospital, 82 Gumiro173 Beongil, Bundang, Seongnam, Gyeonggi 13620 South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Suh", 
        "givenName": "Jung-Won", 
        "id": "sg:person.01221307336.14", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01221307336.14"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Seoul National University College of Medicine, Seoul, South Korea", 
          "id": "http://www.grid.ac/institutes/grid.31501.36", 
          "name": [
            "Department of Internal Medicine, Seoul National University Bundang Hospital, 82 Gumiro173 Beongil, Bundang, Seongnam, Gyeonggi 13620 South Korea", 
            "Seoul National University College of Medicine, Seoul, South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cho", 
        "givenName": "Young-Seok", 
        "id": "sg:person.012531646700.00", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012531646700.00"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Seoul National University College of Medicine, Seoul, South Korea", 
          "id": "http://www.grid.ac/institutes/grid.31501.36", 
          "name": [
            "Department of Internal Medicine, Seoul National University Bundang Hospital, 82 Gumiro173 Beongil, Bundang, Seongnam, Gyeonggi 13620 South Korea", 
            "Seoul National University College of Medicine, Seoul, South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Youn", 
        "givenName": "Tae-Jin", 
        "id": "sg:person.0634045514.10", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0634045514.10"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Seoul National University College of Medicine, Seoul, South Korea", 
          "id": "http://www.grid.ac/institutes/grid.31501.36", 
          "name": [
            "Department of Internal Medicine, Seoul National University Bundang Hospital, 82 Gumiro173 Beongil, Bundang, Seongnam, Gyeonggi 13620 South Korea", 
            "Seoul National University College of Medicine, Seoul, South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chae", 
        "givenName": "In-Ho", 
        "id": "sg:person.0750274114.26", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0750274114.26"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Seoul National University College of Medicine, Seoul, South Korea", 
          "id": "http://www.grid.ac/institutes/grid.31501.36", 
          "name": [
            "Department of Internal Medicine, Seoul National University Bundang Hospital, 82 Gumiro173 Beongil, Bundang, Seongnam, Gyeonggi 13620 South Korea", 
            "Seoul National University College of Medicine, Seoul, South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Choi", 
        "givenName": "Dong-Ju", 
        "id": "sg:person.01140400105.84", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01140400105.84"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1186/s12933-017-0528-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084512901", 
          "https://doi.org/10.1186/s12933-017-0528-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12933-015-0210-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039929475", 
          "https://doi.org/10.1186/s12933-015-0210-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/hr.2015.72", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025505121", 
          "https://doi.org/10.1038/hr.2015.72"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12933-017-0583-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091206559", 
          "https://doi.org/10.1186/s12933-017-0583-x"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-01-11", 
    "datePublishedReg": "2018-01-11", 
    "description": "BACKGROUND: Statins are widely used for lipid lowering in patients with coronary artery disease (CAD), but increasing evidence indicates an association between statin use and new-onset of diabetes mellitus (NODM). Epicardial adipose tissue (EAT) refers to the visceral fat surrounding the heart, which is associated with metabolic diseases. We sought to determine the association between EAT thickness and NODM in CAD patients treated with high-intensity statins.\nMETHODS: We conducted a retrospective medical record review of CAD patients treated with high-intensity statins for at least 6\u00a0months after percutaneous coronary intervention performed between January 2009 and June 2013 at Seoul National University Bundang Hospital. EAT thickness was measured by echocardiography using standardized methods.\nRESULTS: A total of 321 patients were enrolled, who received high-intensity statins for a mean of 952\u00a0days; atorvastatin 40\u00a0mg in 204 patients (63.6%), atorvastatin 80\u00a0mg in 57 patients (17.8%), and rosuvastatin 20\u00a0mg in 60 patients (18.7%). During the follow-up period of 3.9\u00a0\u00b1\u00a01.7\u00a0years, NODM occurred in 40 patients (12.5%). On Cox proportional-hazard regression analysis, EAT thickness at systole [for each 1\u00a0mm: hazard ratio (HR) 1.580; 95% confidence interval (CI) 1.346-1.854; P\u00a0<\u00a00.001] and prediabetes at baseline (HR 4.321; 95% CI 1.998-9.349; P\u00a0<\u00a00.001) were the only independent predictors of NODM. Using binary cutoff values derived from the receiver operating characteristic curve analysis, EAT thickness at systole larger than 5.0\u00a0mm had an HR of 3.402 (95% CI 1.751-6.611, P\u00a0<\u00a00.001), sensitivity of 52.5%, and specificity of 80.8% for predicting NODM. Also, patients with EAT thickness\u00a0\u2265\u00a05\u00a0mm and prediabetes at baseline had a 12.0-times higher risk of developing NODM compared to the risk noted in patients with EAT thickness\u00a0<\u00a05\u00a0mm and normal glucose tolerance at baseline.\nCONCLUSION: Epicardial adipose tissue thickness at systole is a consistent independent predictor of NODM in patients with CAD treated with high-intensity statins. Such predictors may help physicians plan adequate surveillance for early detection of NODM.", 
    "genre": "article", 
    "id": "sg:pub.10.1186/s12933-017-0650-3", 
    "inLanguage": "en", 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1031021", 
        "issn": [
          "1475-2840"
        ], 
        "name": "Cardiovascular Diabetology", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "17"
      }
    ], 
    "keywords": [
      "high-intensity statins", 
      "coronary artery disease", 
      "epicardial adipose tissue thickness", 
      "epicardial adipose tissue", 
      "adipose tissue thickness", 
      "EAT thickness", 
      "CAD patients", 
      "artery disease", 
      "diabetes mellitus", 
      "independent predictors", 
      "Cox proportional hazards regression analysis", 
      "new-onset diabetes mellitus", 
      "retrospective medical record review", 
      "Seoul National University Bundang Hospital", 
      "proportional hazards regression analysis", 
      "percutaneous coronary intervention", 
      "medical record review", 
      "only independent predictor", 
      "normal glucose tolerance", 
      "consistent independent predictor", 
      "characteristic curve analysis", 
      "tissue thickness", 
      "atorvastatin 40", 
      "atorvastatin 80", 
      "statin use", 
      "coronary intervention", 
      "glucose tolerance", 
      "record review", 
      "visceral fat", 
      "high risk", 
      "statins", 
      "patients", 
      "adipose tissue", 
      "metabolic diseases", 
      "cutoff value", 
      "adequate surveillance", 
      "early detection", 
      "curve analysis", 
      "disease", 
      "baseline", 
      "prediabetes", 
      "mellitus", 
      "systole", 
      "NODM", 
      "regression analysis", 
      "predictors", 
      "risk", 
      "association", 
      "such predictors", 
      "echocardiography", 
      "hospital", 
      "physicians", 
      "months", 
      "intervention", 
      "total", 
      "heart", 
      "fat", 
      "surveillance", 
      "tissue", 
      "hr", 
      "days", 
      "review", 
      "lipids", 
      "years", 
      "specificity", 
      "evidence", 
      "period", 
      "sensitivity", 
      "tolerance", 
      "analysis", 
      "use", 
      "detection", 
      "thickness", 
      "receiver", 
      "values", 
      "means", 
      "method", 
      "National University Bundang Hospital", 
      "University Bundang Hospital", 
      "Bundang Hospital", 
      "binary cutoff values"
    ], 
    "name": "Increased epicardial adipose tissue thickness is a predictor of new-onset diabetes mellitus in patients with coronary artery disease treated with high-intensity statins", 
    "pagination": "10", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1100315518"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s12933-017-0650-3"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "29325562"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s12933-017-0650-3", 
      "https://app.dimensions.ai/details/publication/pub.1100315518"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-01-01T18:46", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220101/entities/gbq_results/article/article_758.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1186/s12933-017-0650-3"
  }
]
 

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

HOW TO GET THIS DATA PROGRAMMATICALLY:

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

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s12933-017-0650-3'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s12933-017-0650-3'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12933-017-0650-3'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12933-017-0650-3'


 

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

335 TRIPLES      22 PREDICATES      130 URIs      118 LITERALS      26 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s12933-017-0650-3 schema:about N13ad35e376be4f9fb5b6c222ce1b5c99
2 N1f16e704d78148c3af1f3817b62b0deb
3 N2232d71604da4d1bae3c81c0ed6c8c6c
4 N33068400012e4fa9af70281aa626a856
5 N3ec0fd0deb104d2d81d1066eca35d627
6 N41beb5f8b75d4e0c925e11454219e11f
7 N4d872b32faa04546852282da1ed953aa
8 N4f6e53750f554d3d8a909e99e984d578
9 N4fcf667650df4859847bc24d76b5fe72
10 N53bd6795c3a645aab221385a098a89e4
11 N5db045fb144b4c548b843136dbe11631
12 N6835228458334a8f88c9f4e945a1742d
13 N6990d6dfabe34c418b08db1dcebbbc31
14 N936d44b9afca40d79eb26e5f65ba65c3
15 Nba400ef685aa49179e2154783192db45
16 Nd2ea8e1050ca42f799431b21d260b862
17 Ndb4b864340eb4712971fcc51535f430e
18 Ndf13cdce16ac408d8d1af9ec3f2f021b
19 Ne4cb4efff3724a7ab751a25b8e264a73
20 anzsrc-for:11
21 anzsrc-for:1103
22 schema:author N606779ab059c4bb1a02d08ccd640ab9a
23 schema:citation sg:pub.10.1038/hr.2015.72
24 sg:pub.10.1186/s12933-015-0210-7
25 sg:pub.10.1186/s12933-017-0528-4
26 sg:pub.10.1186/s12933-017-0583-x
27 schema:datePublished 2018-01-11
28 schema:datePublishedReg 2018-01-11
29 schema:description BACKGROUND: Statins are widely used for lipid lowering in patients with coronary artery disease (CAD), but increasing evidence indicates an association between statin use and new-onset of diabetes mellitus (NODM). Epicardial adipose tissue (EAT) refers to the visceral fat surrounding the heart, which is associated with metabolic diseases. We sought to determine the association between EAT thickness and NODM in CAD patients treated with high-intensity statins. METHODS: We conducted a retrospective medical record review of CAD patients treated with high-intensity statins for at least 6 months after percutaneous coronary intervention performed between January 2009 and June 2013 at Seoul National University Bundang Hospital. EAT thickness was measured by echocardiography using standardized methods. RESULTS: A total of 321 patients were enrolled, who received high-intensity statins for a mean of 952 days; atorvastatin 40 mg in 204 patients (63.6%), atorvastatin 80 mg in 57 patients (17.8%), and rosuvastatin 20 mg in 60 patients (18.7%). During the follow-up period of 3.9 ± 1.7 years, NODM occurred in 40 patients (12.5%). On Cox proportional-hazard regression analysis, EAT thickness at systole [for each 1 mm: hazard ratio (HR) 1.580; 95% confidence interval (CI) 1.346-1.854; P < 0.001] and prediabetes at baseline (HR 4.321; 95% CI 1.998-9.349; P < 0.001) were the only independent predictors of NODM. Using binary cutoff values derived from the receiver operating characteristic curve analysis, EAT thickness at systole larger than 5.0 mm had an HR of 3.402 (95% CI 1.751-6.611, P < 0.001), sensitivity of 52.5%, and specificity of 80.8% for predicting NODM. Also, patients with EAT thickness ≥ 5 mm and prediabetes at baseline had a 12.0-times higher risk of developing NODM compared to the risk noted in patients with EAT thickness < 5 mm and normal glucose tolerance at baseline. CONCLUSION: Epicardial adipose tissue thickness at systole is a consistent independent predictor of NODM in patients with CAD treated with high-intensity statins. Such predictors may help physicians plan adequate surveillance for early detection of NODM.
30 schema:genre article
31 schema:inLanguage en
32 schema:isAccessibleForFree true
33 schema:isPartOf N01f4b4f1f7334358aa4b40badae4b8b6
34 Nddb2cac2ed734cf6a49db13e0143741a
35 sg:journal.1031021
36 schema:keywords Bundang Hospital
37 CAD patients
38 Cox proportional hazards regression analysis
39 EAT thickness
40 NODM
41 National University Bundang Hospital
42 Seoul National University Bundang Hospital
43 University Bundang Hospital
44 adequate surveillance
45 adipose tissue
46 adipose tissue thickness
47 analysis
48 artery disease
49 association
50 atorvastatin 40
51 atorvastatin 80
52 baseline
53 binary cutoff values
54 characteristic curve analysis
55 consistent independent predictor
56 coronary artery disease
57 coronary intervention
58 curve analysis
59 cutoff value
60 days
61 detection
62 diabetes mellitus
63 disease
64 early detection
65 echocardiography
66 epicardial adipose tissue
67 epicardial adipose tissue thickness
68 evidence
69 fat
70 glucose tolerance
71 heart
72 high risk
73 high-intensity statins
74 hospital
75 hr
76 independent predictors
77 intervention
78 lipids
79 means
80 medical record review
81 mellitus
82 metabolic diseases
83 method
84 months
85 new-onset diabetes mellitus
86 normal glucose tolerance
87 only independent predictor
88 patients
89 percutaneous coronary intervention
90 period
91 physicians
92 prediabetes
93 predictors
94 proportional hazards regression analysis
95 receiver
96 record review
97 regression analysis
98 retrospective medical record review
99 review
100 risk
101 sensitivity
102 specificity
103 statin use
104 statins
105 such predictors
106 surveillance
107 systole
108 thickness
109 tissue
110 tissue thickness
111 tolerance
112 total
113 use
114 values
115 visceral fat
116 years
117 schema:name Increased epicardial adipose tissue thickness is a predictor of new-onset diabetes mellitus in patients with coronary artery disease treated with high-intensity statins
118 schema:pagination 10
119 schema:productId N08394272363248899d71d02132b7ffaf
120 N3118e3667544440684e26336a8c96549
121 N595bb37b465a4458bcf11fb645588a72
122 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100315518
123 https://doi.org/10.1186/s12933-017-0650-3
124 schema:sdDatePublished 2022-01-01T18:46
125 schema:sdLicense https://scigraph.springernature.com/explorer/license/
126 schema:sdPublisher N1d859478782a484e8264f93f0cee6776
127 schema:url https://doi.org/10.1186/s12933-017-0650-3
128 sgo:license sg:explorer/license/
129 sgo:sdDataset articles
130 rdf:type schema:ScholarlyArticle
131 N004f9814c548479fabf74b3104df03eb rdf:first sg:person.01002315533.55
132 rdf:rest Na49d23c10d9c48ae88d38a7197a8157c
133 N01f4b4f1f7334358aa4b40badae4b8b6 schema:volumeNumber 17
134 rdf:type schema:PublicationVolume
135 N08394272363248899d71d02132b7ffaf schema:name pubmed_id
136 schema:value 29325562
137 rdf:type schema:PropertyValue
138 N13ad35e376be4f9fb5b6c222ce1b5c99 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
139 schema:name Male
140 rdf:type schema:DefinedTerm
141 N1d859478782a484e8264f93f0cee6776 schema:name Springer Nature - SN SciGraph project
142 rdf:type schema:Organization
143 N1f16e704d78148c3af1f3817b62b0deb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
144 schema:name Atorvastatin
145 rdf:type schema:DefinedTerm
146 N2232d71604da4d1bae3c81c0ed6c8c6c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
147 schema:name Diabetes Mellitus
148 rdf:type schema:DefinedTerm
149 N3118e3667544440684e26336a8c96549 schema:name dimensions_id
150 schema:value pub.1100315518
151 rdf:type schema:PropertyValue
152 N33068400012e4fa9af70281aa626a856 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
153 schema:name Humans
154 rdf:type schema:DefinedTerm
155 N3c31917c2a25475b8add50a3a2c7e187 rdf:first sg:person.012720622607.06
156 rdf:rest Nb078507ced1d428fadb3a0f0ced9657b
157 N3ec0fd0deb104d2d81d1066eca35d627 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
158 schema:name Risk Factors
159 rdf:type schema:DefinedTerm
160 N41beb5f8b75d4e0c925e11454219e11f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
161 schema:name Retrospective Studies
162 rdf:type schema:DefinedTerm
163 N4d872b32faa04546852282da1ed953aa schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
164 schema:name Coronary Artery Disease
165 rdf:type schema:DefinedTerm
166 N4f6e53750f554d3d8a909e99e984d578 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
167 schema:name Time Factors
168 rdf:type schema:DefinedTerm
169 N4f8f9ecbba634878bca17105b7d3a4a5 rdf:first sg:person.0716716015.82
170 rdf:rest N3c31917c2a25475b8add50a3a2c7e187
171 N4fcf667650df4859847bc24d76b5fe72 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
172 schema:name Predictive Value of Tests
173 rdf:type schema:DefinedTerm
174 N53bd6795c3a645aab221385a098a89e4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
175 schema:name Hydroxymethylglutaryl-CoA Reductase Inhibitors
176 rdf:type schema:DefinedTerm
177 N595bb37b465a4458bcf11fb645588a72 schema:name doi
178 schema:value 10.1186/s12933-017-0650-3
179 rdf:type schema:PropertyValue
180 N5db045fb144b4c548b843136dbe11631 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
181 schema:name Seoul
182 rdf:type schema:DefinedTerm
183 N606779ab059c4bb1a02d08ccd640ab9a rdf:first sg:person.01025305045.32
184 rdf:rest Nc0bb2b31322c4d17a333d3810125a0dc
185 N64452edb85364016940c57998d18f93b rdf:first sg:person.0750274114.26
186 rdf:rest Ndf3ca582d130412b89466129dee5e6d9
187 N6835228458334a8f88c9f4e945a1742d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
188 schema:name Echocardiography
189 rdf:type schema:DefinedTerm
190 N6990d6dfabe34c418b08db1dcebbbc31 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
191 schema:name Middle Aged
192 rdf:type schema:DefinedTerm
193 N7c8df8dc1cd144129f84b2fb919b66f8 schema:affiliation grid-institutes:grid.412484.f
194 schema:familyName Kim
195 schema:givenName Young-Chan
196 rdf:type schema:Person
197 N83f02d26ce364b9bada15bfc9d45eab9 rdf:first sg:person.012531646700.00
198 rdf:rest N95e424e774ab43feb3e933fb7ae78e32
199 N8a778bf9ef80418d8a0119a164767d04 rdf:first sg:person.01157552667.31
200 rdf:rest N004f9814c548479fabf74b3104df03eb
201 N916cbd3c47134c78a7fae1782a2810dd rdf:first sg:person.01144574663.02
202 rdf:rest N8a778bf9ef80418d8a0119a164767d04
203 N936d44b9afca40d79eb26e5f65ba65c3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
204 schema:name Aged
205 rdf:type schema:DefinedTerm
206 N95e424e774ab43feb3e933fb7ae78e32 rdf:first sg:person.0634045514.10
207 rdf:rest N64452edb85364016940c57998d18f93b
208 Na49d23c10d9c48ae88d38a7197a8157c rdf:first sg:person.01221307336.14
209 rdf:rest N83f02d26ce364b9bada15bfc9d45eab9
210 Nb078507ced1d428fadb3a0f0ced9657b rdf:first sg:person.0666067133.85
211 rdf:rest Ne8ce4065791847f6bd78577caa94c752
212 Nba400ef685aa49179e2154783192db45 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
213 schema:name Pericardium
214 rdf:type schema:DefinedTerm
215 Nc0bb2b31322c4d17a333d3810125a0dc rdf:first N7c8df8dc1cd144129f84b2fb919b66f8
216 rdf:rest N4f8f9ecbba634878bca17105b7d3a4a5
217 Nd2ea8e1050ca42f799431b21d260b862 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
218 schema:name Treatment Outcome
219 rdf:type schema:DefinedTerm
220 Ndb4b864340eb4712971fcc51535f430e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
221 schema:name Adipose Tissue
222 rdf:type schema:DefinedTerm
223 Nddb2cac2ed734cf6a49db13e0143741a schema:issueNumber 1
224 rdf:type schema:PublicationIssue
225 Ndf13cdce16ac408d8d1af9ec3f2f021b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
226 schema:name Female
227 rdf:type schema:DefinedTerm
228 Ndf3ca582d130412b89466129dee5e6d9 rdf:first sg:person.01140400105.84
229 rdf:rest rdf:nil
230 Ne4cb4efff3724a7ab751a25b8e264a73 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
231 schema:name Rosuvastatin Calcium
232 rdf:type schema:DefinedTerm
233 Ne8ce4065791847f6bd78577caa94c752 rdf:first sg:person.015043677217.46
234 rdf:rest N916cbd3c47134c78a7fae1782a2810dd
235 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
236 schema:name Medical and Health Sciences
237 rdf:type schema:DefinedTerm
238 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
239 schema:name Clinical Sciences
240 rdf:type schema:DefinedTerm
241 sg:journal.1031021 schema:issn 1475-2840
242 schema:name Cardiovascular Diabetology
243 schema:publisher Springer Nature
244 rdf:type schema:Periodical
245 sg:person.01002315533.55 schema:affiliation grid-institutes:grid.412480.b
246 schema:familyName Yoon
247 schema:givenName Chang-Hwan
248 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01002315533.55
249 rdf:type schema:Person
250 sg:person.01025305045.32 schema:affiliation grid-institutes:grid.412484.f
251 schema:familyName Kang
252 schema:givenName Jeehoon
253 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01025305045.32
254 rdf:type schema:Person
255 sg:person.01140400105.84 schema:affiliation grid-institutes:grid.31501.36
256 schema:familyName Choi
257 schema:givenName Dong-Ju
258 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01140400105.84
259 rdf:type schema:Person
260 sg:person.01144574663.02 schema:affiliation grid-institutes:grid.412480.b
261 schema:familyName Yoon
262 schema:givenName Yeonyee E.
263 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01144574663.02
264 rdf:type schema:Person
265 sg:person.01157552667.31 schema:affiliation grid-institutes:grid.412480.b
266 schema:familyName Oh
267 schema:givenName Il-Young
268 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01157552667.31
269 rdf:type schema:Person
270 sg:person.01221307336.14 schema:affiliation grid-institutes:grid.412480.b
271 schema:familyName Suh
272 schema:givenName Jung-Won
273 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01221307336.14
274 rdf:type schema:Person
275 sg:person.012531646700.00 schema:affiliation grid-institutes:grid.31501.36
276 schema:familyName Cho
277 schema:givenName Young-Seok
278 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012531646700.00
279 rdf:type schema:Person
280 sg:person.012720622607.06 schema:affiliation grid-institutes:grid.413641.5
281 schema:familyName Kim
282 schema:givenName Sehun
283 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012720622607.06
284 rdf:type schema:Person
285 sg:person.015043677217.46 schema:affiliation grid-institutes:grid.412480.b
286 schema:familyName Cho
287 schema:givenName Young Jin
288 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015043677217.46
289 rdf:type schema:Person
290 sg:person.0634045514.10 schema:affiliation grid-institutes:grid.31501.36
291 schema:familyName Youn
292 schema:givenName Tae-Jin
293 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0634045514.10
294 rdf:type schema:Person
295 sg:person.0666067133.85 schema:affiliation grid-institutes:grid.412480.b
296 schema:familyName Kang
297 schema:givenName Si-Hyuck
298 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0666067133.85
299 rdf:type schema:Person
300 sg:person.0716716015.82 schema:affiliation grid-institutes:grid.412480.b
301 schema:familyName Park
302 schema:givenName Jin Joo
303 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0716716015.82
304 rdf:type schema:Person
305 sg:person.0750274114.26 schema:affiliation grid-institutes:grid.31501.36
306 schema:familyName Chae
307 schema:givenName In-Ho
308 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0750274114.26
309 rdf:type schema:Person
310 sg:pub.10.1038/hr.2015.72 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025505121
311 https://doi.org/10.1038/hr.2015.72
312 rdf:type schema:CreativeWork
313 sg:pub.10.1186/s12933-015-0210-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039929475
314 https://doi.org/10.1186/s12933-015-0210-7
315 rdf:type schema:CreativeWork
316 sg:pub.10.1186/s12933-017-0528-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084512901
317 https://doi.org/10.1186/s12933-017-0528-4
318 rdf:type schema:CreativeWork
319 sg:pub.10.1186/s12933-017-0583-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1091206559
320 https://doi.org/10.1186/s12933-017-0583-x
321 rdf:type schema:CreativeWork
322 grid-institutes:grid.31501.36 schema:alternateName Seoul National University College of Medicine, Seoul, South Korea
323 schema:name Department of Internal Medicine, Seoul National University Bundang Hospital, 82 Gumiro173 Beongil, Bundang, Seongnam, Gyeonggi 13620 South Korea
324 Seoul National University College of Medicine, Seoul, South Korea
325 rdf:type schema:Organization
326 grid-institutes:grid.412480.b schema:alternateName Department of Internal Medicine, Seoul National University Bundang Hospital, 82 Gumiro173 Beongil, Bundang, Seongnam, Gyeonggi 13620 South Korea
327 schema:name Department of Internal Medicine, Seoul National University Bundang Hospital, 82 Gumiro173 Beongil, Bundang, Seongnam, Gyeonggi 13620 South Korea
328 rdf:type schema:Organization
329 grid-institutes:grid.412484.f schema:alternateName Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea
330 schema:name Department of Internal Medicine, Seoul National University Bundang Hospital, 82 Gumiro173 Beongil, Bundang, Seongnam, Gyeonggi 13620 South Korea
331 Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea
332 rdf:type schema:Organization
333 grid-institutes:grid.413641.5 schema:alternateName Division of Cardiology, Hallym University Hangang Sacred Heart Hospital, Seoul, South Korea
334 schema:name Division of Cardiology, Hallym University Hangang Sacred Heart Hospital, Seoul, South Korea
335 rdf:type schema:Organization
 




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


...