Source:http://linkedlifedata.com/resource/pubmed/id/20700408
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| rdf:type | |
| lifeskim:mentions | |
| pubmed:dateCreated |
2010-8-11
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| pubmed:abstractText |
Background. Renal disease is commonly described as a complication of metabolic syndrome (MetS) but some recent studies suggest that Chronic Kidney disease (CKD) may actually antecede MetS. Few studies have explored the predictive utility of co-clustering CKD with MetS for cardiovascular disease (CVD) mortality. Methods. Data from a nationally representative sample of United States adults (NHANES) was utilized. A sample of 13115 non-pregnant individuals aged >/=35 years, with available follow-up mortality assessment was selected. Multivariable Cox Proportional hazard regression analysis techniques explored the relationship between co-clustered CKD, MetS and CVD mortality. Bayesian analysis techniques tested the predictive accuracy for CVD Mortality of two models using co-clustered MetS and CKD and MetS alone. Results. Co-clustering early and late CKD respectively resulted in statistically significant higher hazard for CVD mortality (HR = 1.80, CI = 1.45-2.23, and HR = 3.23, CI = 2.56-3.70) when compared with individuals with no MetS and no CKD. A model with early CKD and MetS has a higher predictive accuracy (72.0% versus 67.6%), area under the ROC (0.74 versus 0.66), and Cohen's kappa (0.38 versus 0.21) than that with MetS alone. Conclusion. The study findings suggest that the co-clustering of early CKD with MetS increases the accuracy of risk prediction for CVD mortality.
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| pubmed:commentsCorrections |
http://linkedlifedata.com/resource/pubmed/commentcorrection/20700408-10212839,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20700408-10842650,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20700408-11092432,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20700408-11368702,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20700408-12485966,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20700408-12500213,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20700408-12666059,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20700408-12676170,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20700408-12811230,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20700408-12859163,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20700408-14722647,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20700408-15113720,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20700408-15769755,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20700408-15983333,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20700408-16183411,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20700408-16419355,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20700408-7494564,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20700408-8598597
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| pubmed:language |
eng
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| pubmed:journal | |
| pubmed:status |
PubMed-not-MEDLINE
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| pubmed:issn |
2090-0732
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| pubmed:author | |
| pubmed:issnType |
Electronic
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| pubmed:volume |
2010
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| pubmed:owner |
NLM
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| pubmed:authorsComplete |
Y
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| pubmed:year |
2010
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| pubmed:articleTitle |
Renal dysfunction, metabolic syndrome and cardiovascular disease mortality.
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| pubmed:affiliation |
Department of Medicine, Charles Drew University of Medicine and Science, 1731 E 20th Street, Los Angeles, CA 90059, USA.
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| pubmed:publicationType |
Journal Article
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