Glasgow prognostic score can be a prognostic indicator after percutaneous coronary intervention: a two-center study in Japan View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2021-11-22

AUTHORS

Ryota Noike, Hideo Amano, Shinya Suzuki, Hiroto Kano, Yuji Oikawa, Junji Yajima, Shojiro Hirano, Yoshimasa Kojima, Yosuke Oka, Hiroto Aikawa, Shingo Matsumoto, Takayuki Yabe, Ryo Okubo, Rine Nakanishi, Takuto Arita, Naoharu Yagi, Mikio Kishi, Hiroaki Semba, Shunsuke Matsuno, Yuko Kato, Takayuki Otsuka, Tokuhisa Uejima, Minoru Matsuhama, Mitsuru Iida, Takeshi Yamashita, Takanori Ikeda

ABSTRACT

Glasgow prognostic score (GPS) has been used to evaluate inflammatory response and nutritional status. This study aimed to investigate the impact of nutritional status on cardiac prognosis by using GPS in patients after undergoing percutaneous coronary intervention (PCI). We included 862 patients who underwent PCI for stable angina pectoris between 2015 and 2018. We used the original cutoff values, which were an albumin (Alb) level of 3.5 g/dl and a C-reactive protein (CRP) level of 0.3 mg/dl. We categorized them into the three groups: originally defined GPS (od-GPS) 0 (high Alb and low CRP), 1 (low Alb or high CRP), and 2 (low Alb and high CRP). Major adverse clinical events (MACEs) included all-cause death, nonfatal myocardial infarction, revascularization, and hospitalization for heart failure. The median follow-up period was 398.5 days. During the follow-up, MACEs occurred in 136 patients. Od-GPS 2 had higher prevalence rates in terms of chronic kidney disease (CKD; 31.7% [229/722] vs. 44.9% [53/118] vs. 63.6% [14/22], p < 0.001), hemodialysis (6.4% [46/722] vs. 14.4% [17/118] vs. 31.8% [7/22], p < 0.001), and heart failure cases (HF; 9.1% [66/722] vs. 14.4% [17/118] vs. 27.3% [6/22], p = 0.007), with higher creatinine (1.17 ± 1.37 mg/dl vs. 1.89 ± 2.60 mg/dl vs. 3.49 ± 4.01 mg/dl, p < 0.001) and brain natriuretic peptide levels (104.1 ± 304.6 pg/ml vs. 242.4 ± 565.9 pg/ml vs. 668.1 ± 872.2 pg/ml, p < 0.001) and lower low-density lipoprotein cholesterol (101.5 ± 32.9 mg/dl vs. 98.2 ± 28.8 mg/dl vs. 77.1 ± 24.3 mg/dl, p = 0.002) than od-GPS 0 and 1.Od-GPS 2 (HR 2.42; 95% CI 1.16–5.02; p = 0.018), od-GPS 1 (HR 2.09; 95% CI 1.40–3.13; p < 0.001), diabetes (HR 1.41; 95% CI 1.00–1.99; p = 0.048), CKD (HR 2.10; 95% CI 1.49–2.96; p < 0.001), and HF (HR 1.64; 95% CI 1.05–2.56; p = 0.029) were independent predictors of MACEs. A scoring system using CRP and Alb levels with a milder definition than GPS suitably predicted the risk of MACEs in the patients who underwent PCI. More... »

PAGES

1-8

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00380-021-01986-w

DOI

http://dx.doi.org/10.1007/s00380-021-01986-w

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1142725554

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/34807279


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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Division of Cardiovascular Medicine, Department of Internal Medicine, Toho University Graduate School Medicine, 6-11-1 Omorinishi, Ota-ku, 143-8541, Tokyo, Japan", 
          "id": "http://www.grid.ac/institutes/grid.265050.4", 
          "name": [
            "Division of Cardiovascular Medicine, Department of Internal Medicine, Toho University Graduate School Medicine, 6-11-1 Omorinishi, Ota-ku, 143-8541, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Noike", 
        "givenName": "Ryota", 
        "id": "sg:person.012231061742.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012231061742.19"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Division of Cardiovascular Medicine, Department of Internal Medicine, Toho University Graduate School Medicine, 6-11-1 Omorinishi, Ota-ku, 143-8541, Tokyo, Japan", 
          "id": "http://www.grid.ac/institutes/grid.265050.4", 
          "name": [
            "Division of Cardiovascular Medicine, Department of Internal Medicine, Toho University Graduate School Medicine, 6-11-1 Omorinishi, Ota-ku, 143-8541, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Amano", 
        "givenName": "Hideo", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "The Cardiovascular Institute, Tokyo, Japan", 
          "id": "http://www.grid.ac/institutes/grid.413415.6", 
          "name": [
            "The Cardiovascular Institute, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Suzuki", 
        "givenName": "Shinya", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "The Cardiovascular Institute, Tokyo, Japan", 
          "id": "http://www.grid.ac/institutes/grid.413415.6", 
          "name": [
            "The Cardiovascular Institute, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kano", 
        "givenName": "Hiroto", 
        "id": "sg:person.0770152550.44", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0770152550.44"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "The Cardiovascular Institute, Tokyo, Japan", 
          "id": "http://www.grid.ac/institutes/grid.413415.6", 
          "name": [
            "The Cardiovascular Institute, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Oikawa", 
        "givenName": "Yuji", 
        "id": "sg:person.01220440326.34", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01220440326.34"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "The Cardiovascular Institute, Tokyo, Japan", 
          "id": "http://www.grid.ac/institutes/grid.413415.6", 
          "name": [
            "The Cardiovascular Institute, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yajima", 
        "givenName": "Junji", 
        "id": "sg:person.01254300674.39", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01254300674.39"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Division of Cardiovascular Medicine, Department of Internal Medicine, Toho University Faculty of Medicine, Tokyo, Japan", 
          "id": "http://www.grid.ac/institutes/grid.265050.4", 
          "name": [
            "Division of Cardiovascular Medicine, Department of Internal Medicine, Toho University Faculty of Medicine, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hirano", 
        "givenName": "Shojiro", 
        "id": "sg:person.014633176240.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014633176240.16"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Division of Cardiovascular Medicine, Department of Internal Medicine, Toho University Faculty of Medicine, Tokyo, Japan", 
          "id": "http://www.grid.ac/institutes/grid.265050.4", 
          "name": [
            "Division of Cardiovascular Medicine, Department of Internal Medicine, Toho University Faculty of Medicine, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kojima", 
        "givenName": "Yoshimasa", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Division of Cardiovascular Medicine, Department of Internal Medicine, Toho University Faculty of Medicine, Tokyo, Japan", 
          "id": "http://www.grid.ac/institutes/grid.265050.4", 
          "name": [
            "Division of Cardiovascular Medicine, Department of Internal Medicine, Toho University Faculty of Medicine, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Oka", 
        "givenName": "Yosuke", 
        "id": "sg:person.014005327560.96", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014005327560.96"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Division of Cardiovascular Medicine, Department of Internal Medicine, Toho University Faculty of Medicine, Tokyo, Japan", 
          "id": "http://www.grid.ac/institutes/grid.265050.4", 
          "name": [
            "Division of Cardiovascular Medicine, Department of Internal Medicine, Toho University Faculty of Medicine, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Aikawa", 
        "givenName": "Hiroto", 
        "id": "sg:person.010223675573.48", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010223675573.48"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Division of Cardiovascular Medicine, Department of Internal Medicine, Toho University Faculty of Medicine, Tokyo, Japan", 
          "id": "http://www.grid.ac/institutes/grid.265050.4", 
          "name": [
            "Division of Cardiovascular Medicine, Department of Internal Medicine, Toho University Faculty of Medicine, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Matsumoto", 
        "givenName": "Shingo", 
        "id": "sg:person.012615205774.43", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012615205774.43"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Division of Cardiovascular Medicine, Department of Internal Medicine, Toho University Faculty of Medicine, Tokyo, Japan", 
          "id": "http://www.grid.ac/institutes/grid.265050.4", 
          "name": [
            "Division of Cardiovascular Medicine, Department of Internal Medicine, Toho University Faculty of Medicine, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yabe", 
        "givenName": "Takayuki", 
        "id": "sg:person.0636455575.84", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0636455575.84"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Division of Cardiovascular Medicine, Department of Internal Medicine, Toho University Faculty of Medicine, Tokyo, Japan", 
          "id": "http://www.grid.ac/institutes/grid.265050.4", 
          "name": [
            "Division of Cardiovascular Medicine, Department of Internal Medicine, Toho University Faculty of Medicine, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Okubo", 
        "givenName": "Ryo", 
        "id": "sg:person.01242057573.50", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01242057573.50"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Division of Cardiovascular Medicine, Department of Internal Medicine, Toho University Graduate School Medicine, 6-11-1 Omorinishi, Ota-ku, 143-8541, Tokyo, Japan", 
          "id": "http://www.grid.ac/institutes/grid.265050.4", 
          "name": [
            "Division of Cardiovascular Medicine, Department of Internal Medicine, Toho University Graduate School Medicine, 6-11-1 Omorinishi, Ota-ku, 143-8541, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nakanishi", 
        "givenName": "Rine", 
        "id": "sg:person.0670655447.65", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0670655447.65"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "The Cardiovascular Institute, Tokyo, Japan", 
          "id": "http://www.grid.ac/institutes/grid.413415.6", 
          "name": [
            "The Cardiovascular Institute, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Arita", 
        "givenName": "Takuto", 
        "id": "sg:person.0632025272.48", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0632025272.48"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "The Cardiovascular Institute, Tokyo, Japan", 
          "id": "http://www.grid.ac/institutes/grid.413415.6", 
          "name": [
            "The Cardiovascular Institute, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yagi", 
        "givenName": "Naoharu", 
        "id": "sg:person.0746253672.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0746253672.16"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "The Cardiovascular Institute, Tokyo, Japan", 
          "id": "http://www.grid.ac/institutes/grid.413415.6", 
          "name": [
            "The Cardiovascular Institute, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kishi", 
        "givenName": "Mikio", 
        "id": "sg:person.015467504641.89", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015467504641.89"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "The Cardiovascular Institute, Tokyo, Japan", 
          "id": "http://www.grid.ac/institutes/grid.413415.6", 
          "name": [
            "The Cardiovascular Institute, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Semba", 
        "givenName": "Hiroaki", 
        "id": "sg:person.01103501365.64", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01103501365.64"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "The Cardiovascular Institute, Tokyo, Japan", 
          "id": "http://www.grid.ac/institutes/grid.413415.6", 
          "name": [
            "The Cardiovascular Institute, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Matsuno", 
        "givenName": "Shunsuke", 
        "id": "sg:person.0725511226.63", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0725511226.63"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "The Cardiovascular Institute, Tokyo, Japan", 
          "id": "http://www.grid.ac/institutes/grid.413415.6", 
          "name": [
            "The Cardiovascular Institute, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kato", 
        "givenName": "Yuko", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "The Cardiovascular Institute, Tokyo, Japan", 
          "id": "http://www.grid.ac/institutes/grid.413415.6", 
          "name": [
            "The Cardiovascular Institute, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Otsuka", 
        "givenName": "Takayuki", 
        "id": "sg:person.0722037350.31", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0722037350.31"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "The Cardiovascular Institute, Tokyo, Japan", 
          "id": "http://www.grid.ac/institutes/grid.413415.6", 
          "name": [
            "The Cardiovascular Institute, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Uejima", 
        "givenName": "Tokuhisa", 
        "id": "sg:person.01331263741.17", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01331263741.17"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "The Cardiovascular Institute, Tokyo, Japan", 
          "id": "http://www.grid.ac/institutes/grid.413415.6", 
          "name": [
            "The Cardiovascular Institute, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Matsuhama", 
        "givenName": "Minoru", 
        "id": "sg:person.01055214753.10", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01055214753.10"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "The Cardiovascular Institute, Tokyo, Japan", 
          "id": "http://www.grid.ac/institutes/grid.413415.6", 
          "name": [
            "The Cardiovascular Institute, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Iida", 
        "givenName": "Mitsuru", 
        "id": "sg:person.014051633465.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014051633465.38"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "The Cardiovascular Institute, Tokyo, Japan", 
          "id": "http://www.grid.ac/institutes/grid.413415.6", 
          "name": [
            "The Cardiovascular Institute, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yamashita", 
        "givenName": "Takeshi", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Division of Cardiovascular Medicine, Department of Internal Medicine, Toho University Graduate School Medicine, 6-11-1 Omorinishi, Ota-ku, 143-8541, Tokyo, Japan", 
          "id": "http://www.grid.ac/institutes/grid.265050.4", 
          "name": [
            "Division of Cardiovascular Medicine, Department of Internal Medicine, Toho University Graduate School Medicine, 6-11-1 Omorinishi, Ota-ku, 143-8541, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ikeda", 
        "givenName": "Takanori", 
        "id": "sg:person.01014152452.22", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01014152452.22"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/sj.bjc.6601242", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024195508", 
          "https://doi.org/10.1038/sj.bjc.6601242"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00380-019-01435-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1114803176", 
          "https://doi.org/10.1007/s00380-019-01435-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10753-014-0018-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001598530", 
          "https://doi.org/10.1007/s10753-014-0018-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00380-020-01554-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1124228488", 
          "https://doi.org/10.1007/s00380-020-01554-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.bjc.6601962", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016200084", 
          "https://doi.org/10.1038/sj.bjc.6601962"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00380-018-1229-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1105811029", 
          "https://doi.org/10.1007/s00380-018-1229-y"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2021-11-22", 
    "datePublishedReg": "2021-11-22", 
    "description": "Glasgow prognostic score (GPS) has been used to evaluate inflammatory response and nutritional status. This study aimed to investigate the impact of nutritional status on cardiac prognosis by using GPS in patients after undergoing percutaneous coronary intervention (PCI). We included 862 patients who underwent PCI for stable angina pectoris between 2015 and 2018. We used the original cutoff values, which were an albumin (Alb) level of 3.5\u00a0g/dl and a C-reactive protein (CRP) level of 0.3\u00a0mg/dl. We categorized them into the three groups: originally defined GPS (od-GPS) 0 (high Alb and low CRP), 1 (low Alb or high CRP), and 2 (low Alb and high CRP). Major adverse clinical events (MACEs) included all-cause death, nonfatal myocardial infarction, revascularization, and hospitalization for heart failure. The median follow-up period was 398.5\u00a0days. During the follow-up, MACEs occurred in 136 patients. Od-GPS 2 had higher prevalence rates in terms of chronic kidney disease (CKD; 31.7% [229/722] vs. 44.9% [53/118] vs. 63.6% [14/22], p\u2009<\u20090.001), hemodialysis (6.4% [46/722] vs. 14.4% [17/118] vs. 31.8% [7/22], p\u2009<\u20090.001), and heart failure cases (HF; 9.1% [66/722] vs. 14.4% [17/118] vs. 27.3% [6/22], p\u2009=\u20090.007), with higher creatinine (1.17\u2009\u00b1\u20091.37\u00a0mg/dl vs. 1.89\u2009\u00b1\u20092.60\u00a0mg/dl vs. 3.49\u2009\u00b1\u20094.01\u00a0mg/dl, p\u2009<\u20090.001) and brain natriuretic peptide levels (104.1\u2009\u00b1\u2009304.6\u00a0pg/ml vs. 242.4\u2009\u00b1\u2009565.9\u00a0pg/ml vs. 668.1\u2009\u00b1\u2009872.2\u00a0pg/ml, p\u2009<\u20090.001) and lower low-density lipoprotein cholesterol (101.5\u2009\u00b1\u200932.9\u00a0mg/dl vs. 98.2\u2009\u00b1\u200928.8\u00a0mg/dl vs. 77.1\u2009\u00b1\u200924.3\u00a0mg/dl, p\u2009=\u20090.002) than od-GPS 0 and 1.Od-GPS 2 (HR 2.42; 95% CI 1.16\u20135.02; p\u2009=\u20090.018), od-GPS 1 (HR 2.09; 95% CI 1.40\u20133.13; p\u2009<\u20090.001), diabetes (HR 1.41; 95% CI 1.00\u20131.99; p\u2009=\u20090.048), CKD (HR 2.10; 95% CI 1.49\u20132.96; p\u2009<\u20090.001), and HF (HR 1.64; 95% CI 1.05\u20132.56; p\u2009=\u20090.029) were independent predictors of MACEs. A scoring system using CRP and Alb levels with a milder definition than GPS suitably predicted the risk of MACEs in the patients who underwent PCI.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s00380-021-01986-w", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1095887", 
        "issn": [
          "0910-8327", 
          "1615-2573"
        ], 
        "name": "Heart and Vessels", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }
    ], 
    "keywords": [
      "major adverse clinical events", 
      "Glasgow Prognostic Score", 
      "percutaneous coronary intervention", 
      "coronary intervention", 
      "prognostic score", 
      "lower low-density lipoprotein cholesterol", 
      "nutritional status", 
      "C-reactive protein levels", 
      "low-density lipoprotein cholesterol", 
      "nonfatal myocardial infarction", 
      "natriuretic peptide levels", 
      "stable angina pectoris", 
      "chronic kidney disease", 
      "adverse clinical events", 
      "two-center study", 
      "heart failure cases", 
      "high prevalence rates", 
      "original cutoff value", 
      "cause death", 
      "median follow", 
      "lipoprotein cholesterol", 
      "cardiac prognosis", 
      "angina pectoris", 
      "albumin levels", 
      "GPS 0", 
      "heart failure", 
      "higher creatinine", 
      "independent predictors", 
      "ALB levels", 
      "kidney disease", 
      "clinical events", 
      "prognostic indicator", 
      "myocardial infarction", 
      "inflammatory response", 
      "prevalence rates", 
      "peptide levels", 
      "cutoff value", 
      "patients", 
      "protein levels", 
      "dl", 
      "intervention", 
      "scores", 
      "status", 
      "pectoris", 
      "revascularization", 
      "hospitalization", 
      "CKD", 
      "infarction", 
      "hemodialysis", 
      "creatinine", 
      "diabetes", 
      "prognosis", 
      "levels", 
      "CRP", 
      "follow", 
      "disease", 
      "cholesterol", 
      "death", 
      "failure cases", 
      "risk", 
      "predictors", 
      "study", 
      "days", 
      "failure", 
      "group", 
      "response", 
      "period", 
      "cases", 
      "rate", 
      "events", 
      "indicators", 
      "impact", 
      "Japan", 
      "HF", 
      "definition", 
      "values", 
      "system", 
      "terms"
    ], 
    "name": "Glasgow prognostic score can be a prognostic indicator after percutaneous coronary intervention: a two-center study in Japan", 
    "pagination": "1-8", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1142725554"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00380-021-01986-w"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "34807279"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00380-021-01986-w", 
      "https://app.dimensions.ai/details/publication/pub.1142725554"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-05-20T07:39", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220519/entities/gbq_results/article/article_909.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s00380-021-01986-w"
  }
]
 

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/s00380-021-01986-w'

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/s00380-021-01986-w'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00380-021-01986-w'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00380-021-01986-w'


 

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

333 TRIPLES      22 PREDICATES      108 URIs      94 LITERALS      5 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00380-021-01986-w schema:about anzsrc-for:11
2 anzsrc-for:1103
3 schema:author N0da48296ac0a4874b92e13a2f491c68c
4 schema:citation sg:pub.10.1007/s00380-018-1229-y
5 sg:pub.10.1007/s00380-019-01435-9
6 sg:pub.10.1007/s00380-020-01554-8
7 sg:pub.10.1007/s10753-014-0018-8
8 sg:pub.10.1038/sj.bjc.6601242
9 sg:pub.10.1038/sj.bjc.6601962
10 schema:datePublished 2021-11-22
11 schema:datePublishedReg 2021-11-22
12 schema:description Glasgow prognostic score (GPS) has been used to evaluate inflammatory response and nutritional status. This study aimed to investigate the impact of nutritional status on cardiac prognosis by using GPS in patients after undergoing percutaneous coronary intervention (PCI). We included 862 patients who underwent PCI for stable angina pectoris between 2015 and 2018. We used the original cutoff values, which were an albumin (Alb) level of 3.5 g/dl and a C-reactive protein (CRP) level of 0.3 mg/dl. We categorized them into the three groups: originally defined GPS (od-GPS) 0 (high Alb and low CRP), 1 (low Alb or high CRP), and 2 (low Alb and high CRP). Major adverse clinical events (MACEs) included all-cause death, nonfatal myocardial infarction, revascularization, and hospitalization for heart failure. The median follow-up period was 398.5 days. During the follow-up, MACEs occurred in 136 patients. Od-GPS 2 had higher prevalence rates in terms of chronic kidney disease (CKD; 31.7% [229/722] vs. 44.9% [53/118] vs. 63.6% [14/22], p < 0.001), hemodialysis (6.4% [46/722] vs. 14.4% [17/118] vs. 31.8% [7/22], p < 0.001), and heart failure cases (HF; 9.1% [66/722] vs. 14.4% [17/118] vs. 27.3% [6/22], p = 0.007), with higher creatinine (1.17 ± 1.37 mg/dl vs. 1.89 ± 2.60 mg/dl vs. 3.49 ± 4.01 mg/dl, p < 0.001) and brain natriuretic peptide levels (104.1 ± 304.6 pg/ml vs. 242.4 ± 565.9 pg/ml vs. 668.1 ± 872.2 pg/ml, p < 0.001) and lower low-density lipoprotein cholesterol (101.5 ± 32.9 mg/dl vs. 98.2 ± 28.8 mg/dl vs. 77.1 ± 24.3 mg/dl, p = 0.002) than od-GPS 0 and 1.Od-GPS 2 (HR 2.42; 95% CI 1.16–5.02; p = 0.018), od-GPS 1 (HR 2.09; 95% CI 1.40–3.13; p < 0.001), diabetes (HR 1.41; 95% CI 1.00–1.99; p = 0.048), CKD (HR 2.10; 95% CI 1.49–2.96; p < 0.001), and HF (HR 1.64; 95% CI 1.05–2.56; p = 0.029) were independent predictors of MACEs. A scoring system using CRP and Alb levels with a milder definition than GPS suitably predicted the risk of MACEs in the patients who underwent PCI.
13 schema:genre article
14 schema:inLanguage en
15 schema:isAccessibleForFree false
16 schema:isPartOf sg:journal.1095887
17 schema:keywords ALB levels
18 C-reactive protein levels
19 CKD
20 CRP
21 GPS 0
22 Glasgow Prognostic Score
23 HF
24 Japan
25 adverse clinical events
26 albumin levels
27 angina pectoris
28 cardiac prognosis
29 cases
30 cause death
31 cholesterol
32 chronic kidney disease
33 clinical events
34 coronary intervention
35 creatinine
36 cutoff value
37 days
38 death
39 definition
40 diabetes
41 disease
42 dl
43 events
44 failure
45 failure cases
46 follow
47 group
48 heart failure
49 heart failure cases
50 hemodialysis
51 high prevalence rates
52 higher creatinine
53 hospitalization
54 impact
55 independent predictors
56 indicators
57 infarction
58 inflammatory response
59 intervention
60 kidney disease
61 levels
62 lipoprotein cholesterol
63 low-density lipoprotein cholesterol
64 lower low-density lipoprotein cholesterol
65 major adverse clinical events
66 median follow
67 myocardial infarction
68 natriuretic peptide levels
69 nonfatal myocardial infarction
70 nutritional status
71 original cutoff value
72 patients
73 pectoris
74 peptide levels
75 percutaneous coronary intervention
76 period
77 predictors
78 prevalence rates
79 prognosis
80 prognostic indicator
81 prognostic score
82 protein levels
83 rate
84 response
85 revascularization
86 risk
87 scores
88 stable angina pectoris
89 status
90 study
91 system
92 terms
93 two-center study
94 values
95 schema:name Glasgow prognostic score can be a prognostic indicator after percutaneous coronary intervention: a two-center study in Japan
96 schema:pagination 1-8
97 schema:productId N36feea2479e3479d91b8205d5bc97da2
98 N43e7750b69674a77b38970541aa87f53
99 N5a3be4ee6c3b46b3a3ac4c7c26d51820
100 schema:sameAs https://app.dimensions.ai/details/publication/pub.1142725554
101 https://doi.org/10.1007/s00380-021-01986-w
102 schema:sdDatePublished 2022-05-20T07:39
103 schema:sdLicense https://scigraph.springernature.com/explorer/license/
104 schema:sdPublisher Nb0433614a8154b9ea8e88738ae82d2b5
105 schema:url https://doi.org/10.1007/s00380-021-01986-w
106 sgo:license sg:explorer/license/
107 sgo:sdDataset articles
108 rdf:type schema:ScholarlyArticle
109 N0584de997ada48539aa99112b8147b0c rdf:first N97f305c87fe54db3b97f8d2d9785bf14
110 rdf:rest N62c82a47e84b4a42a05e9fc62049d954
111 N0bca938613b7472ab25202da1c049855 rdf:first sg:person.0632025272.48
112 rdf:rest N45897625b4fc45af9cde7111e9b1a951
113 N0da48296ac0a4874b92e13a2f491c68c rdf:first sg:person.012231061742.19
114 rdf:rest Na5b9706c488f4fc282df7e73261a626a
115 N13328d59c9204bda8bea376ab787f3b5 rdf:first sg:person.0725511226.63
116 rdf:rest N6c94a8a88096492fbe7b919ad3a285d8
117 N18f2d0b7fb94421ab203d1165a918da7 rdf:first sg:person.01103501365.64
118 rdf:rest N13328d59c9204bda8bea376ab787f3b5
119 N1e4407fb77d9418981b980539e64998c rdf:first sg:person.0636455575.84
120 rdf:rest N78500c653f82488c8895d1f5d40048dd
121 N3011e4feff584e34b3bb018df8bd7130 rdf:first sg:person.010223675573.48
122 rdf:rest Naaf8b77992dc47f6bfd8637cb94ea990
123 N32932112d7eb4f7c97f241fe8889b1fc rdf:first sg:person.015467504641.89
124 rdf:rest N18f2d0b7fb94421ab203d1165a918da7
125 N36feea2479e3479d91b8205d5bc97da2 schema:name dimensions_id
126 schema:value pub.1142725554
127 rdf:type schema:PropertyValue
128 N43e7750b69674a77b38970541aa87f53 schema:name doi
129 schema:value 10.1007/s00380-021-01986-w
130 rdf:type schema:PropertyValue
131 N45897625b4fc45af9cde7111e9b1a951 rdf:first sg:person.0746253672.16
132 rdf:rest N32932112d7eb4f7c97f241fe8889b1fc
133 N4b30775516e04f60b0c8f519986b26ad rdf:first sg:person.01014152452.22
134 rdf:rest rdf:nil
135 N4b353ea483d14729a551ca1d64d878fd rdf:first sg:person.014051633465.38
136 rdf:rest Nbebf2f726af347c3a00436757f867f89
137 N4e716c632da8456a9bbb2cda990fd496 schema:affiliation grid-institutes:grid.265050.4
138 schema:familyName Kojima
139 schema:givenName Yoshimasa
140 rdf:type schema:Person
141 N4eba0a701df24904a12046f15f99c26d rdf:first sg:person.014005327560.96
142 rdf:rest N3011e4feff584e34b3bb018df8bd7130
143 N594f748124e84052a659b46eb32169ee schema:affiliation grid-institutes:grid.413415.6
144 schema:familyName Kato
145 schema:givenName Yuko
146 rdf:type schema:Person
147 N5a3be4ee6c3b46b3a3ac4c7c26d51820 schema:name pubmed_id
148 schema:value 34807279
149 rdf:type schema:PropertyValue
150 N62c82a47e84b4a42a05e9fc62049d954 rdf:first sg:person.0770152550.44
151 rdf:rest N967cc6394f5d423a80bdd60bb573fa49
152 N666caefc79904b2f8b012baef0283051 schema:affiliation grid-institutes:grid.413415.6
153 schema:familyName Yamashita
154 schema:givenName Takeshi
155 rdf:type schema:Person
156 N6c94a8a88096492fbe7b919ad3a285d8 rdf:first N594f748124e84052a659b46eb32169ee
157 rdf:rest Ncea5d93f44104a87aabd7625ffd53e74
158 N78500c653f82488c8895d1f5d40048dd rdf:first sg:person.01242057573.50
159 rdf:rest Ncdd0f5a8bcdc4f77a8adf26b8f0687ea
160 N7ecd1c30b34e4f1abc71c3b12de5b19f rdf:first sg:person.01331263741.17
161 rdf:rest Ne6b85a64028c4831921e4d4f74b41c09
162 N967cc6394f5d423a80bdd60bb573fa49 rdf:first sg:person.01220440326.34
163 rdf:rest Nb36173a7bea141cd97ae0306e00189b1
164 N97f305c87fe54db3b97f8d2d9785bf14 schema:affiliation grid-institutes:grid.413415.6
165 schema:familyName Suzuki
166 schema:givenName Shinya
167 rdf:type schema:Person
168 Na5b9706c488f4fc282df7e73261a626a rdf:first Nc38829bf3a424e0ab8041d57ceb5bf59
169 rdf:rest N0584de997ada48539aa99112b8147b0c
170 Naaf8b77992dc47f6bfd8637cb94ea990 rdf:first sg:person.012615205774.43
171 rdf:rest N1e4407fb77d9418981b980539e64998c
172 Nb0433614a8154b9ea8e88738ae82d2b5 schema:name Springer Nature - SN SciGraph project
173 rdf:type schema:Organization
174 Nb36173a7bea141cd97ae0306e00189b1 rdf:first sg:person.01254300674.39
175 rdf:rest Nc5a8e38948ab48569e7b75e30aef66be
176 Nbebf2f726af347c3a00436757f867f89 rdf:first N666caefc79904b2f8b012baef0283051
177 rdf:rest N4b30775516e04f60b0c8f519986b26ad
178 Nc38829bf3a424e0ab8041d57ceb5bf59 schema:affiliation grid-institutes:grid.265050.4
179 schema:familyName Amano
180 schema:givenName Hideo
181 rdf:type schema:Person
182 Nc5a8e38948ab48569e7b75e30aef66be rdf:first sg:person.014633176240.16
183 rdf:rest Nfffd6d9e8f274e0b99b39c107672b06a
184 Ncdd0f5a8bcdc4f77a8adf26b8f0687ea rdf:first sg:person.0670655447.65
185 rdf:rest N0bca938613b7472ab25202da1c049855
186 Ncea5d93f44104a87aabd7625ffd53e74 rdf:first sg:person.0722037350.31
187 rdf:rest N7ecd1c30b34e4f1abc71c3b12de5b19f
188 Ne6b85a64028c4831921e4d4f74b41c09 rdf:first sg:person.01055214753.10
189 rdf:rest N4b353ea483d14729a551ca1d64d878fd
190 Nfffd6d9e8f274e0b99b39c107672b06a rdf:first N4e716c632da8456a9bbb2cda990fd496
191 rdf:rest N4eba0a701df24904a12046f15f99c26d
192 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
193 schema:name Medical and Health Sciences
194 rdf:type schema:DefinedTerm
195 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
196 schema:name Clinical Sciences
197 rdf:type schema:DefinedTerm
198 sg:journal.1095887 schema:issn 0910-8327
199 1615-2573
200 schema:name Heart and Vessels
201 schema:publisher Springer Nature
202 rdf:type schema:Periodical
203 sg:person.01014152452.22 schema:affiliation grid-institutes:grid.265050.4
204 schema:familyName Ikeda
205 schema:givenName Takanori
206 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01014152452.22
207 rdf:type schema:Person
208 sg:person.010223675573.48 schema:affiliation grid-institutes:grid.265050.4
209 schema:familyName Aikawa
210 schema:givenName Hiroto
211 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010223675573.48
212 rdf:type schema:Person
213 sg:person.01055214753.10 schema:affiliation grid-institutes:grid.413415.6
214 schema:familyName Matsuhama
215 schema:givenName Minoru
216 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01055214753.10
217 rdf:type schema:Person
218 sg:person.01103501365.64 schema:affiliation grid-institutes:grid.413415.6
219 schema:familyName Semba
220 schema:givenName Hiroaki
221 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01103501365.64
222 rdf:type schema:Person
223 sg:person.01220440326.34 schema:affiliation grid-institutes:grid.413415.6
224 schema:familyName Oikawa
225 schema:givenName Yuji
226 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01220440326.34
227 rdf:type schema:Person
228 sg:person.012231061742.19 schema:affiliation grid-institutes:grid.265050.4
229 schema:familyName Noike
230 schema:givenName Ryota
231 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012231061742.19
232 rdf:type schema:Person
233 sg:person.01242057573.50 schema:affiliation grid-institutes:grid.265050.4
234 schema:familyName Okubo
235 schema:givenName Ryo
236 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01242057573.50
237 rdf:type schema:Person
238 sg:person.01254300674.39 schema:affiliation grid-institutes:grid.413415.6
239 schema:familyName Yajima
240 schema:givenName Junji
241 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01254300674.39
242 rdf:type schema:Person
243 sg:person.012615205774.43 schema:affiliation grid-institutes:grid.265050.4
244 schema:familyName Matsumoto
245 schema:givenName Shingo
246 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012615205774.43
247 rdf:type schema:Person
248 sg:person.01331263741.17 schema:affiliation grid-institutes:grid.413415.6
249 schema:familyName Uejima
250 schema:givenName Tokuhisa
251 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01331263741.17
252 rdf:type schema:Person
253 sg:person.014005327560.96 schema:affiliation grid-institutes:grid.265050.4
254 schema:familyName Oka
255 schema:givenName Yosuke
256 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014005327560.96
257 rdf:type schema:Person
258 sg:person.014051633465.38 schema:affiliation grid-institutes:grid.413415.6
259 schema:familyName Iida
260 schema:givenName Mitsuru
261 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014051633465.38
262 rdf:type schema:Person
263 sg:person.014633176240.16 schema:affiliation grid-institutes:grid.265050.4
264 schema:familyName Hirano
265 schema:givenName Shojiro
266 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014633176240.16
267 rdf:type schema:Person
268 sg:person.015467504641.89 schema:affiliation grid-institutes:grid.413415.6
269 schema:familyName Kishi
270 schema:givenName Mikio
271 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015467504641.89
272 rdf:type schema:Person
273 sg:person.0632025272.48 schema:affiliation grid-institutes:grid.413415.6
274 schema:familyName Arita
275 schema:givenName Takuto
276 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0632025272.48
277 rdf:type schema:Person
278 sg:person.0636455575.84 schema:affiliation grid-institutes:grid.265050.4
279 schema:familyName Yabe
280 schema:givenName Takayuki
281 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0636455575.84
282 rdf:type schema:Person
283 sg:person.0670655447.65 schema:affiliation grid-institutes:grid.265050.4
284 schema:familyName Nakanishi
285 schema:givenName Rine
286 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0670655447.65
287 rdf:type schema:Person
288 sg:person.0722037350.31 schema:affiliation grid-institutes:grid.413415.6
289 schema:familyName Otsuka
290 schema:givenName Takayuki
291 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0722037350.31
292 rdf:type schema:Person
293 sg:person.0725511226.63 schema:affiliation grid-institutes:grid.413415.6
294 schema:familyName Matsuno
295 schema:givenName Shunsuke
296 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0725511226.63
297 rdf:type schema:Person
298 sg:person.0746253672.16 schema:affiliation grid-institutes:grid.413415.6
299 schema:familyName Yagi
300 schema:givenName Naoharu
301 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0746253672.16
302 rdf:type schema:Person
303 sg:person.0770152550.44 schema:affiliation grid-institutes:grid.413415.6
304 schema:familyName Kano
305 schema:givenName Hiroto
306 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0770152550.44
307 rdf:type schema:Person
308 sg:pub.10.1007/s00380-018-1229-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1105811029
309 https://doi.org/10.1007/s00380-018-1229-y
310 rdf:type schema:CreativeWork
311 sg:pub.10.1007/s00380-019-01435-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1114803176
312 https://doi.org/10.1007/s00380-019-01435-9
313 rdf:type schema:CreativeWork
314 sg:pub.10.1007/s00380-020-01554-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1124228488
315 https://doi.org/10.1007/s00380-020-01554-8
316 rdf:type schema:CreativeWork
317 sg:pub.10.1007/s10753-014-0018-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001598530
318 https://doi.org/10.1007/s10753-014-0018-8
319 rdf:type schema:CreativeWork
320 sg:pub.10.1038/sj.bjc.6601242 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024195508
321 https://doi.org/10.1038/sj.bjc.6601242
322 rdf:type schema:CreativeWork
323 sg:pub.10.1038/sj.bjc.6601962 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016200084
324 https://doi.org/10.1038/sj.bjc.6601962
325 rdf:type schema:CreativeWork
326 grid-institutes:grid.265050.4 schema:alternateName Division of Cardiovascular Medicine, Department of Internal Medicine, Toho University Faculty of Medicine, Tokyo, Japan
327 Division of Cardiovascular Medicine, Department of Internal Medicine, Toho University Graduate School Medicine, 6-11-1 Omorinishi, Ota-ku, 143-8541, Tokyo, Japan
328 schema:name Division of Cardiovascular Medicine, Department of Internal Medicine, Toho University Faculty of Medicine, Tokyo, Japan
329 Division of Cardiovascular Medicine, Department of Internal Medicine, Toho University Graduate School Medicine, 6-11-1 Omorinishi, Ota-ku, 143-8541, Tokyo, Japan
330 rdf:type schema:Organization
331 grid-institutes:grid.413415.6 schema:alternateName The Cardiovascular Institute, Tokyo, Japan
332 schema:name The Cardiovascular Institute, Tokyo, Japan
333 rdf:type schema:Organization
 




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


...