Association between Chronic Kidney Disease and Carotid Intima-Media Thickening in Individuals with Hypertension and Impaired Glucose Metabolism View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2007

AUTHORS

Nobukazu Ishizaka, Yuko Ishizaka, Ei-ichi Toda, Kazuhiko Koike, George Seki, Ryozo Nagai, Minoru Yamakado

ABSTRACT

We investigated whether chronic kidney disease (CKD) was associated with carotid intima-media thickening in 1,351 male individuals undergoing general health screening. Glomerular filtration rate (GFR) was estimated by the Modification of Diet in Renal Disease equations using 0.881 as a coefficient for Japanese, and low estimated GFR (eGFR) was defined as an eGFR value of <60 mL/min/1.73 m(2). Albuminuria was defined as a urine albumin-to-urine creatinine ratio of >or=30 mg/g, and CKD was defined when low eGFR and/or albuminuria was present. After adjusting for age, CKD was associated with carotid intima-media thickening with an odds ratio of 1.47 (95% confidence interval [CI] 1.05-2.06, p=0.0024). After adjusting for age, fasting plasma glucose, and smoking status, both albuminuria and low eGFR were significantly associated with intima-media thickening in individuals with hypertension with an odds ratio of 1.85 (95% CI 1.13-3.03, p=0.015) and 1.79 (95% CI 1.09-2.94, p=0.022), respectively. On the other hand, neither of them was associated with carotid intima-media thickening in individuals without hypertension. Similarly, after adjusting for age, systolic blood pressure, and smoking status, both albuminuria and low eGFR were significantly associated with intima-media thickening in individuals with high fasting glucose (defined as fasting plasma glucose levels of >or=110 mg/dL or current use of anti-diabetic medication), but not in those without. Our data indicate that CKD or its components (low eGFR and albuminuria) may be associated with early carotid atherosclerosis in low-risk individuals, such as those undergoing general health screening, who have hypertension and/or impaired glucose metabolism. More... »

PAGES

1035

Identifiers

URI

http://scigraph.springernature.com/pub.10.1291/hypres.30.1035

DOI

http://dx.doi.org/10.1291/hypres.30.1035

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1001884130

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/18250552


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/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "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"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Carotid Arteries", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Carotid Artery Diseases", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Chronic Disease", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cross-Sectional Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Glomerular Filtration Rate", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Glucose", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Hypertension", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Kidney Diseases", 
        "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": "Smoking", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tunica Intima", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tunica Media", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Tokyo", 
          "id": "https://www.grid.ac/institutes/grid.26999.3d", 
          "name": [
            "Department of Cardiovascular Medicine, University of Tokyo Graduate School of Medicine, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ishizaka", 
        "givenName": "Nobukazu", 
        "id": "sg:person.01003460567.51", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01003460567.51"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Mitsui Memorial Hospital", 
          "id": "https://www.grid.ac/institutes/grid.415980.1", 
          "name": [
            "Center for Multiphasic Health Testing and Services, Mitsui Memorial Hospital, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ishizaka", 
        "givenName": "Yuko", 
        "id": "sg:person.0644344022.81", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0644344022.81"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Mitsui Memorial Hospital", 
          "id": "https://www.grid.ac/institutes/grid.415980.1", 
          "name": [
            "Center for Multiphasic Health Testing and Services, Mitsui Memorial Hospital, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Toda", 
        "givenName": "Ei-ichi", 
        "id": "sg:person.01236433170.61", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01236433170.61"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Tokyo", 
          "id": "https://www.grid.ac/institutes/grid.26999.3d", 
          "name": [
            "Department of Infectious Diseases, University of Tokyo Graduate School of Medicine, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Koike", 
        "givenName": "Kazuhiko", 
        "id": "sg:person.01231713652.67", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01231713652.67"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Tokyo", 
          "id": "https://www.grid.ac/institutes/grid.26999.3d", 
          "name": [
            "Department of Nephrology, University of Tokyo Graduate School of Medicine, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Seki", 
        "givenName": "George", 
        "id": "sg:person.01356664373.27", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01356664373.27"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Tokyo", 
          "id": "https://www.grid.ac/institutes/grid.26999.3d", 
          "name": [
            "Department of Cardiovascular Medicine, University of Tokyo Graduate School of Medicine, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nagai", 
        "givenName": "Ryozo", 
        "id": "sg:person.0772176333.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0772176333.38"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Mitsui Memorial Hospital", 
          "id": "https://www.grid.ac/institutes/grid.415980.1", 
          "name": [
            "Center for Multiphasic Health Testing and Services, Mitsui Memorial Hospital, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yamakado", 
        "givenName": "Minoru", 
        "id": "sg:person.0760572422.12", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0760572422.12"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1291/hypres.27.21", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002921914", 
          "https://doi.org/10.1291/hypres.27.21"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ndt/gfl733", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004759535"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.hyp.13.5_suppl.i80", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004991820"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa041031", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005610447"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1053/j.ajkd.2005.07.048", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008514602"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.atherosclerosis.2005.01.026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008520652"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/eurheartj/ehl394", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013396177"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00041552-200111000-00009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014848825"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00041552-200111000-00009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014848825"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.ki.5000050", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020974505", 
          "https://doi.org/10.1038/sj.ki.5000050"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1681/asn.2005060584", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022922530"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1681/asn.2005060584", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022922530"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.ki.5000047", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023275640", 
          "https://doi.org/10.1038/sj.ki.5000047"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0140-6736(92)91401-s", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024929304"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0140-6736(92)91401-s", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024929304"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0272-6386(02)70081-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027844151"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.atv.0000161274.87407.26", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027985353"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.atv.0000161274.87407.26", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027985353"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1253/circj.70.954", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033551465"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1053/ajkd.2002.32799", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041427834"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1053/j.ajkd.2006.06.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046369723"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1111/j.1523-1755.2004.09212.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049169727", 
          "https://doi.org/10.1111/j.1523-1755.2004.09212.x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.ki.5001504", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050301087", 
          "https://doi.org/10.1038/sj.ki.5001504"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1291/hypres.29.515", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052802659", 
          "https://doi.org/10.1291/hypres.29.515"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.asn.0000127045.14709.75", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060319593"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.asn.0000127045.14709.75", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060319593"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.asn.0000127045.14709.75", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060319593"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.str.26.10.1781", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063341396"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/diacare.18.11.1502", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070746580"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/diacare.21.11.1848", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070748007"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5414/cnp66011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072833102"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2007", 
    "datePublishedReg": "2007-01-01", 
    "description": "We investigated whether chronic kidney disease (CKD) was associated with carotid intima-media thickening in 1,351 male individuals undergoing general health screening. Glomerular filtration rate (GFR) was estimated by the Modification of Diet in Renal Disease equations using 0.881 as a coefficient for Japanese, and low estimated GFR (eGFR) was defined as an eGFR value of <60 mL/min/1.73 m(2). Albuminuria was defined as a urine albumin-to-urine creatinine ratio of >or=30 mg/g, and CKD was defined when low eGFR and/or albuminuria was present. After adjusting for age, CKD was associated with carotid intima-media thickening with an odds ratio of 1.47 (95% confidence interval [CI] 1.05-2.06, p=0.0024). After adjusting for age, fasting plasma glucose, and smoking status, both albuminuria and low eGFR were significantly associated with intima-media thickening in individuals with hypertension with an odds ratio of 1.85 (95% CI 1.13-3.03, p=0.015) and 1.79 (95% CI 1.09-2.94, p=0.022), respectively. On the other hand, neither of them was associated with carotid intima-media thickening in individuals without hypertension. Similarly, after adjusting for age, systolic blood pressure, and smoking status, both albuminuria and low eGFR were significantly associated with intima-media thickening in individuals with high fasting glucose (defined as fasting plasma glucose levels of >or=110 mg/dL or current use of anti-diabetic medication), but not in those without. Our data indicate that CKD or its components (low eGFR and albuminuria) may be associated with early carotid atherosclerosis in low-risk individuals, such as those undergoing general health screening, who have hypertension and/or impaired glucose metabolism.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1291/hypres.30.1035", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1313717", 
        "issn": [
          "0916-9636", 
          "1348-4214"
        ], 
        "name": "Hypertension Research", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "11", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "30"
      }
    ], 
    "name": "Association between Chronic Kidney Disease and Carotid Intima-Media Thickening in Individuals with Hypertension and Impaired Glucose Metabolism", 
    "pagination": "1035", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "08f9b5a42a51b131bb9445178ec07d2b3f69132d3a24287713f0d1c20846bfa5"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "18250552"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9307690"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1291/hypres.30.1035"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1001884130"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1291/hypres.30.1035", 
      "https://app.dimensions.ai/details/publication/pub.1001884130"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T19:44", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8681_00000421.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/hr2007145"
  }
]
 

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.10.1291/hypres.30.1035'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1291/hypres.30.1035'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1291/hypres.30.1035'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1291/hypres.30.1035'


 

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

261 TRIPLES      21 PREDICATES      70 URIs      37 LITERALS      25 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1291/hypres.30.1035 schema:about N065fd7697c6641939fee168404f604ad
2 N0a52df21c4f1468f8fac73bb31be65ad
3 N154fd9620eb7413b85e1fa6bf4494011
4 N2008f1be0b904a1e9f111dd247511a7a
5 N21665706cabd4f7fb0b2ffac914cea31
6 N4f76637171b44e2d86b5196df3edb7ad
7 N5881c34d580049b989457ce1b8beacf3
8 N604829f330124abdb42b1a56911601b6
9 N69f2d55f398144539332e1110d84d7d0
10 N8d3b066b54be46b79d6b6bc16a9fefb2
11 N9c33b283e7b14f0fb8432d118bc8bf09
12 Nb0886b6b344a4954ab66b88b0a736886
13 Nb9013ab74a674ba68b02b95556faa1f3
14 Ndd81d3d2e8e94aa0b54c4ca52448d199
15 Ne3099b3448614d559fb80be0da1a0895
16 Nfe530c85ba0449d1a64526a3f0e9f745
17 anzsrc-for:11
18 anzsrc-for:1103
19 schema:author Na2168faa29ef42d1ad43549486d72f5b
20 schema:citation sg:pub.10.1038/sj.ki.5000047
21 sg:pub.10.1038/sj.ki.5000050
22 sg:pub.10.1038/sj.ki.5001504
23 sg:pub.10.1111/j.1523-1755.2004.09212.x
24 sg:pub.10.1291/hypres.27.21
25 sg:pub.10.1291/hypres.29.515
26 https://doi.org/10.1016/0140-6736(92)91401-s
27 https://doi.org/10.1016/j.atherosclerosis.2005.01.026
28 https://doi.org/10.1016/s0272-6386(02)70081-4
29 https://doi.org/10.1053/ajkd.2002.32799
30 https://doi.org/10.1053/j.ajkd.2005.07.048
31 https://doi.org/10.1053/j.ajkd.2006.06.003
32 https://doi.org/10.1056/nejmoa041031
33 https://doi.org/10.1093/eurheartj/ehl394
34 https://doi.org/10.1093/ndt/gfl733
35 https://doi.org/10.1097/00041552-200111000-00009
36 https://doi.org/10.1097/01.asn.0000127045.14709.75
37 https://doi.org/10.1161/01.atv.0000161274.87407.26
38 https://doi.org/10.1161/01.hyp.13.5_suppl.i80
39 https://doi.org/10.1161/01.str.26.10.1781
40 https://doi.org/10.1253/circj.70.954
41 https://doi.org/10.1681/asn.2005060584
42 https://doi.org/10.2337/diacare.18.11.1502
43 https://doi.org/10.2337/diacare.21.11.1848
44 https://doi.org/10.5414/cnp66011
45 schema:datePublished 2007
46 schema:datePublishedReg 2007-01-01
47 schema:description We investigated whether chronic kidney disease (CKD) was associated with carotid intima-media thickening in 1,351 male individuals undergoing general health screening. Glomerular filtration rate (GFR) was estimated by the Modification of Diet in Renal Disease equations using 0.881 as a coefficient for Japanese, and low estimated GFR (eGFR) was defined as an eGFR value of <60 mL/min/1.73 m(2). Albuminuria was defined as a urine albumin-to-urine creatinine ratio of >or=30 mg/g, and CKD was defined when low eGFR and/or albuminuria was present. After adjusting for age, CKD was associated with carotid intima-media thickening with an odds ratio of 1.47 (95% confidence interval [CI] 1.05-2.06, p=0.0024). After adjusting for age, fasting plasma glucose, and smoking status, both albuminuria and low eGFR were significantly associated with intima-media thickening in individuals with hypertension with an odds ratio of 1.85 (95% CI 1.13-3.03, p=0.015) and 1.79 (95% CI 1.09-2.94, p=0.022), respectively. On the other hand, neither of them was associated with carotid intima-media thickening in individuals without hypertension. Similarly, after adjusting for age, systolic blood pressure, and smoking status, both albuminuria and low eGFR were significantly associated with intima-media thickening in individuals with high fasting glucose (defined as fasting plasma glucose levels of >or=110 mg/dL or current use of anti-diabetic medication), but not in those without. Our data indicate that CKD or its components (low eGFR and albuminuria) may be associated with early carotid atherosclerosis in low-risk individuals, such as those undergoing general health screening, who have hypertension and/or impaired glucose metabolism.
48 schema:genre research_article
49 schema:inLanguage en
50 schema:isAccessibleForFree true
51 schema:isPartOf N5cdc125a24f7405b9fd4f7410892cebc
52 Ne65d2a9dffe749bba2ad30e469fbb9e5
53 sg:journal.1313717
54 schema:name Association between Chronic Kidney Disease and Carotid Intima-Media Thickening in Individuals with Hypertension and Impaired Glucose Metabolism
55 schema:pagination 1035
56 schema:productId N259907866d5749468beeb3615666417e
57 N552503d4a5e0477982804bdae4d4398c
58 N76a37f80a4f747dc979dfb98308f8a6d
59 Ncf09bfaf87f4406493293b359315a5fa
60 Nfda93d763f4f43bc96b567a20525babe
61 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001884130
62 https://doi.org/10.1291/hypres.30.1035
63 schema:sdDatePublished 2019-04-10T19:44
64 schema:sdLicense https://scigraph.springernature.com/explorer/license/
65 schema:sdPublisher N117bec26adf44be69cf6f8b3cb967346
66 schema:url https://www.nature.com/articles/hr2007145
67 sgo:license sg:explorer/license/
68 sgo:sdDataset articles
69 rdf:type schema:ScholarlyArticle
70 N065fd7697c6641939fee168404f604ad schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
71 schema:name Humans
72 rdf:type schema:DefinedTerm
73 N0a52df21c4f1468f8fac73bb31be65ad schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
74 schema:name Chronic Disease
75 rdf:type schema:DefinedTerm
76 N117bec26adf44be69cf6f8b3cb967346 schema:name Springer Nature - SN SciGraph project
77 rdf:type schema:Organization
78 N154fd9620eb7413b85e1fa6bf4494011 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
79 schema:name Glucose
80 rdf:type schema:DefinedTerm
81 N16111eedfcb74ce1910ca4055bda48d8 rdf:first sg:person.01356664373.27
82 rdf:rest N37701f5615da45238048ab2a21126d0e
83 N2008f1be0b904a1e9f111dd247511a7a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
84 schema:name Cross-Sectional Studies
85 rdf:type schema:DefinedTerm
86 N21665706cabd4f7fb0b2ffac914cea31 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
87 schema:name Adult
88 rdf:type schema:DefinedTerm
89 N259907866d5749468beeb3615666417e schema:name dimensions_id
90 schema:value pub.1001884130
91 rdf:type schema:PropertyValue
92 N37701f5615da45238048ab2a21126d0e rdf:first sg:person.0772176333.38
93 rdf:rest N3ccc98135869406ab39bf85f835a1e8a
94 N3ccc98135869406ab39bf85f835a1e8a rdf:first sg:person.0760572422.12
95 rdf:rest rdf:nil
96 N4f76637171b44e2d86b5196df3edb7ad schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
97 schema:name Carotid Artery Diseases
98 rdf:type schema:DefinedTerm
99 N552503d4a5e0477982804bdae4d4398c schema:name nlm_unique_id
100 schema:value 9307690
101 rdf:type schema:PropertyValue
102 N5881c34d580049b989457ce1b8beacf3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
103 schema:name Kidney Diseases
104 rdf:type schema:DefinedTerm
105 N5cdc125a24f7405b9fd4f7410892cebc schema:issueNumber 11
106 rdf:type schema:PublicationIssue
107 N604829f330124abdb42b1a56911601b6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
108 schema:name Male
109 rdf:type schema:DefinedTerm
110 N69f2d55f398144539332e1110d84d7d0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
111 schema:name Tunica Media
112 rdf:type schema:DefinedTerm
113 N76a37f80a4f747dc979dfb98308f8a6d schema:name readcube_id
114 schema:value 08f9b5a42a51b131bb9445178ec07d2b3f69132d3a24287713f0d1c20846bfa5
115 rdf:type schema:PropertyValue
116 N8d3b066b54be46b79d6b6bc16a9fefb2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
117 schema:name Tunica Intima
118 rdf:type schema:DefinedTerm
119 N9c33b283e7b14f0fb8432d118bc8bf09 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
120 schema:name Smoking
121 rdf:type schema:DefinedTerm
122 Na2168faa29ef42d1ad43549486d72f5b rdf:first sg:person.01003460567.51
123 rdf:rest Nf03d1e3cf0934beea97f4bb1fb3c3543
124 Nb0886b6b344a4954ab66b88b0a736886 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
125 schema:name Carotid Arteries
126 rdf:type schema:DefinedTerm
127 Nb9013ab74a674ba68b02b95556faa1f3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
128 schema:name Aged
129 rdf:type schema:DefinedTerm
130 Ncf09bfaf87f4406493293b359315a5fa schema:name pubmed_id
131 schema:value 18250552
132 rdf:type schema:PropertyValue
133 Ndd81d3d2e8e94aa0b54c4ca52448d199 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
134 schema:name Glomerular Filtration Rate
135 rdf:type schema:DefinedTerm
136 Ne3099b3448614d559fb80be0da1a0895 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
137 schema:name Middle Aged
138 rdf:type schema:DefinedTerm
139 Ne65d2a9dffe749bba2ad30e469fbb9e5 schema:volumeNumber 30
140 rdf:type schema:PublicationVolume
141 Nf03d1e3cf0934beea97f4bb1fb3c3543 rdf:first sg:person.0644344022.81
142 rdf:rest Nf253765e6b7b4bb689dd693791fb774a
143 Nf08ae930c39e4a90a893673c876f8a7b rdf:first sg:person.01231713652.67
144 rdf:rest N16111eedfcb74ce1910ca4055bda48d8
145 Nf253765e6b7b4bb689dd693791fb774a rdf:first sg:person.01236433170.61
146 rdf:rest Nf08ae930c39e4a90a893673c876f8a7b
147 Nfda93d763f4f43bc96b567a20525babe schema:name doi
148 schema:value 10.1291/hypres.30.1035
149 rdf:type schema:PropertyValue
150 Nfe530c85ba0449d1a64526a3f0e9f745 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
151 schema:name Hypertension
152 rdf:type schema:DefinedTerm
153 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
154 schema:name Medical and Health Sciences
155 rdf:type schema:DefinedTerm
156 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
157 schema:name Clinical Sciences
158 rdf:type schema:DefinedTerm
159 sg:journal.1313717 schema:issn 0916-9636
160 1348-4214
161 schema:name Hypertension Research
162 rdf:type schema:Periodical
163 sg:person.01003460567.51 schema:affiliation https://www.grid.ac/institutes/grid.26999.3d
164 schema:familyName Ishizaka
165 schema:givenName Nobukazu
166 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01003460567.51
167 rdf:type schema:Person
168 sg:person.01231713652.67 schema:affiliation https://www.grid.ac/institutes/grid.26999.3d
169 schema:familyName Koike
170 schema:givenName Kazuhiko
171 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01231713652.67
172 rdf:type schema:Person
173 sg:person.01236433170.61 schema:affiliation https://www.grid.ac/institutes/grid.415980.1
174 schema:familyName Toda
175 schema:givenName Ei-ichi
176 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01236433170.61
177 rdf:type schema:Person
178 sg:person.01356664373.27 schema:affiliation https://www.grid.ac/institutes/grid.26999.3d
179 schema:familyName Seki
180 schema:givenName George
181 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01356664373.27
182 rdf:type schema:Person
183 sg:person.0644344022.81 schema:affiliation https://www.grid.ac/institutes/grid.415980.1
184 schema:familyName Ishizaka
185 schema:givenName Yuko
186 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0644344022.81
187 rdf:type schema:Person
188 sg:person.0760572422.12 schema:affiliation https://www.grid.ac/institutes/grid.415980.1
189 schema:familyName Yamakado
190 schema:givenName Minoru
191 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0760572422.12
192 rdf:type schema:Person
193 sg:person.0772176333.38 schema:affiliation https://www.grid.ac/institutes/grid.26999.3d
194 schema:familyName Nagai
195 schema:givenName Ryozo
196 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0772176333.38
197 rdf:type schema:Person
198 sg:pub.10.1038/sj.ki.5000047 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023275640
199 https://doi.org/10.1038/sj.ki.5000047
200 rdf:type schema:CreativeWork
201 sg:pub.10.1038/sj.ki.5000050 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020974505
202 https://doi.org/10.1038/sj.ki.5000050
203 rdf:type schema:CreativeWork
204 sg:pub.10.1038/sj.ki.5001504 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050301087
205 https://doi.org/10.1038/sj.ki.5001504
206 rdf:type schema:CreativeWork
207 sg:pub.10.1111/j.1523-1755.2004.09212.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1049169727
208 https://doi.org/10.1111/j.1523-1755.2004.09212.x
209 rdf:type schema:CreativeWork
210 sg:pub.10.1291/hypres.27.21 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002921914
211 https://doi.org/10.1291/hypres.27.21
212 rdf:type schema:CreativeWork
213 sg:pub.10.1291/hypres.29.515 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052802659
214 https://doi.org/10.1291/hypres.29.515
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1016/0140-6736(92)91401-s schema:sameAs https://app.dimensions.ai/details/publication/pub.1024929304
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1016/j.atherosclerosis.2005.01.026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008520652
219 rdf:type schema:CreativeWork
220 https://doi.org/10.1016/s0272-6386(02)70081-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027844151
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1053/ajkd.2002.32799 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041427834
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1053/j.ajkd.2005.07.048 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008514602
225 rdf:type schema:CreativeWork
226 https://doi.org/10.1053/j.ajkd.2006.06.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046369723
227 rdf:type schema:CreativeWork
228 https://doi.org/10.1056/nejmoa041031 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005610447
229 rdf:type schema:CreativeWork
230 https://doi.org/10.1093/eurheartj/ehl394 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013396177
231 rdf:type schema:CreativeWork
232 https://doi.org/10.1093/ndt/gfl733 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004759535
233 rdf:type schema:CreativeWork
234 https://doi.org/10.1097/00041552-200111000-00009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014848825
235 rdf:type schema:CreativeWork
236 https://doi.org/10.1097/01.asn.0000127045.14709.75 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060319593
237 rdf:type schema:CreativeWork
238 https://doi.org/10.1161/01.atv.0000161274.87407.26 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027985353
239 rdf:type schema:CreativeWork
240 https://doi.org/10.1161/01.hyp.13.5_suppl.i80 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004991820
241 rdf:type schema:CreativeWork
242 https://doi.org/10.1161/01.str.26.10.1781 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063341396
243 rdf:type schema:CreativeWork
244 https://doi.org/10.1253/circj.70.954 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033551465
245 rdf:type schema:CreativeWork
246 https://doi.org/10.1681/asn.2005060584 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022922530
247 rdf:type schema:CreativeWork
248 https://doi.org/10.2337/diacare.18.11.1502 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070746580
249 rdf:type schema:CreativeWork
250 https://doi.org/10.2337/diacare.21.11.1848 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070748007
251 rdf:type schema:CreativeWork
252 https://doi.org/10.5414/cnp66011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072833102
253 rdf:type schema:CreativeWork
254 https://www.grid.ac/institutes/grid.26999.3d schema:alternateName University of Tokyo
255 schema:name Department of Cardiovascular Medicine, University of Tokyo Graduate School of Medicine, Tokyo, Japan
256 Department of Infectious Diseases, University of Tokyo Graduate School of Medicine, Tokyo, Japan
257 Department of Nephrology, University of Tokyo Graduate School of Medicine, Tokyo, Japan
258 rdf:type schema:Organization
259 https://www.grid.ac/institutes/grid.415980.1 schema:alternateName Mitsui Memorial Hospital
260 schema:name Center for Multiphasic Health Testing and Services, Mitsui Memorial Hospital, Tokyo, Japan
261 rdf:type schema:Organization
 




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


...