Linked Life Data

20700408

Source:http://linkedlifedata.com/resource/pubmed/id/20700408

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pubmed-article:20700408pubmed:dateCreated2010-8-11lld:pubmed
pubmed-article:20700408pubmed:abstractTextBackground. 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.lld:pubmed
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pubmed-article:20700408pubmed:languageenglld:pubmed
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pubmed-article:20700408pubmed:statusPubMed-not-MEDLINElld:pubmed
pubmed-article:20700408pubmed:issn2090-0732lld:pubmed
pubmed-article:20700408pubmed:authorpubmed-author:FaixJJlld:pubmed
pubmed-article:20700408pubmed:authorpubmed-author:NorrisKeithKlld:pubmed
pubmed-article:20700408pubmed:authorpubmed-author:MartinsDavidDlld:pubmed
pubmed-article:20700408pubmed:authorpubmed-author:OgunyemiOmolo...lld:pubmed
pubmed-article:20700408pubmed:authorpubmed-author:AniChizobamClld:pubmed
pubmed-article:20700408pubmed:issnTypeElectroniclld:pubmed
pubmed-article:20700408pubmed:volume2010lld:pubmed
pubmed-article:20700408pubmed:ownerNLMlld:pubmed
pubmed-article:20700408pubmed:authorsCompleteYlld:pubmed
pubmed-article:20700408pubmed:year2010lld:pubmed
pubmed-article:20700408pubmed:articleTitleRenal dysfunction, metabolic syndrome and cardiovascular disease mortality.lld:pubmed
pubmed-article:20700408pubmed:affiliationDepartment of Medicine, Charles Drew University of Medicine and Science, 1731 E 20th Street, Los Angeles, CA 90059, USA.lld:pubmed
pubmed-article:20700408pubmed:publicationTypeJournal Articlelld:pubmed