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Predictive value of triglyceride/high-density lipoprotein cholesterol for major clinical outcomes in advanced chronic kidney disease: a nationwide population-based study

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dc.contributor.authorKim, Yaerim-
dc.contributor.authorLee, Soojin-
dc.contributor.authorLee, Yeonhee-
dc.contributor.authorKang, Min Woo-
dc.contributor.authorPark, Sehoon-
dc.contributor.authorPark, Sanghyun-
dc.contributor.authorHan, Kyungdo-
dc.contributor.authorPaek, Jin Hyuk-
dc.contributor.authorPark, Woo Yeong-
dc.contributor.authorJin, Kyubok-
dc.contributor.authorHan, Seugyeup-
dc.contributor.authorHan, Seung Seok-
dc.contributor.authorLee, Hajeong-
dc.contributor.authorLee, Jung Pyo-
dc.contributor.authorJoo, Kwon Wook-
dc.contributor.authorLim, Chun Soo-
dc.contributor.authorKim, Yon Su-
dc.contributor.authorKim, Dong Ki-
dc.date.accessioned2021-11-15T01:40:13Z-
dc.date.available2021-11-15T01:40:13Z-
dc.date.created2021-11-15-
dc.date.issued2021-08-
dc.identifier.issn2048-8505-
dc.identifier.urihttp://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/41611-
dc.description.abstractBackground. Dyslipidemia is an essential parameter in the prediction of cardiovascular disease (CVD). We aimed to explore whether lipid profiles could predict major outcomes in patients with advanced chronic kidney disease (CKD). Methods. We retrospectively reviewed the National Health Insurance Service database for people who received nationwide health screening in 2009. All subjects exposed to a lipid-lowering agent before screening were excluded. The population was divided into control, early [estimated glomerular filtration rate (eGFR) 45-59 mL/min/1.73 m(2)] and advanced (eGFR <45 mL/ min/1.73 m(2)) CKD groups. The hazard ratios (HRs) of outcomes were calculated using multivariate Cox regression models. Results. A total of 3 634 873 participants were included in this study, with 404 298 (11.1%) and 66 805 (1.8%) having early and advanced CKD, respectively. For all populations, levels of triglyceride/high-density lipoprotein cholesterol (TG/HDL-C) showed a linear association with major cardiovascular and cerebrovascular events (MACCEs) and all-cause mortality, while low-density lipoprotein cholesterol (LDL-C) showed a different pattern of association with MACCEs (linear association) from all-cause mortality (U-shaped association). The significance between the levels of LDL-C and outcomes was attenuated in the advanced CKD group. For TG/HDL-C, although the significance was decreased, the linear patterns with both MACCEs and all-cause mortality were maintained in the advanced CKD group. Conclusions. The pattern and significance of lipid profiles were different according to the grade of kidney function. TG/HDL-C should be additionally considered as a predictive marker for CVD and mortality along with LDL-C in patients with CKD.-
dc.language영어-
dc.language.isoen-
dc.publisherOXFORD UNIV PRESS-
dc.relation.isPartOfCLINICAL KIDNEY JOURNAL-
dc.titlePredictive value of triglyceride/high-density lipoprotein cholesterol for major clinical outcomes in advanced chronic kidney disease: a nationwide population-based study-
dc.typeArticle-
dc.identifier.doi10.1093/ckj/sfaa252-
dc.type.rimsART-
dc.identifier.bibliographicCitationCLINICAL KIDNEY JOURNAL, v.14, no.8, pp.1961 - 1968-
dc.description.journalClass1-
dc.identifier.wosid000697706300015-
dc.citation.endPage1968-
dc.citation.number8-
dc.citation.startPage1961-
dc.citation.titleCLINICAL KIDNEY JOURNAL-
dc.citation.volume14-
dc.contributor.affiliatedAuthorHan, Kyungdo-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.subject.keywordAuthorall-cause mortality-
dc.subject.keywordAuthorcardiovascular disease-
dc.subject.keywordAuthorchronic kidney disease-
dc.subject.keywordAuthorlipid profiles-
dc.subject.keywordAuthortriglyceride/HDL cholesterol-
dc.subject.keywordPlusLDL-C-
dc.subject.keywordPlusCARDIOVASCULAR MORTALITY-
dc.subject.keywordPlusASSOCIATION-
dc.subject.keywordPlusRISK-
dc.subject.keywordPlusHDL-
dc.relation.journalResearchAreaUrology & Nephrology-
dc.relation.journalWebOfScienceCategoryUrology & Nephrology-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
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