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Overlapping Pattern of the Four Individual Components of Dyslipidemia in Adults: Analysis of Nationally Representative Data
Zheng, Wenxiao1; Zhang, Jiayue2; Jiang, Ying3; Wang, Shuting1; Yang, Zuyao1
2024-06-01
Source PublicationJournal of Clinical Medicine
ISSN2077-0383
Volume13Issue:12Pages:3624
Abstract

Background/Objectives: Dyslipidemia is a well-established risk factor for cardiovascular disease (CVD). However, among available drug treatments, only those targeted at lowering LDL-C and consequently TC have demonstrated efficacy in preventing CVD. This is to say that the benefit for those with isolated high TG or low HDL-C is limited. The objective of this study is to examine the overlapping pattern of the four dyslipidemia components in US adult populations, which is important for quantifying the proportion of those who are less likely to benefit from lipid-lowering drugs and for a more precise use of the drug. Methods: A total of 7822 participants aged over 20 with abnormalities in any of the four lipid parameters, excluding those on lipid-lowering medications, were included from the National Health and Nutrition Examination Survey (NHANES) cycles spanning 1999–2000 through 2017–2018. The proportions of different combinations of them were calculated and presented using area-proportional Euler plots. Results: High TC, high LDL-C, high TG, and low HDL-C were seen in 32.8% (95% CI: 31.3%–34.2%), 28.1% (95% CI: 26.6%–29.6%), 26.7% (95% CI: 25.4%–28.0%), and 65.9% (95% CI: 64.0%–67.7%) of the people with dyslipidemia, respectively. The proportions of dyslipidemia cases attributable to “high LDL-C or high TC” (irrespective of HDL-C and TG levels), “normal LDL-C, normal TC, but high TG” (irrespective of HDL-C level), and “normal LDL-C, normal TC, normal TG, but low HDL-C” (i.e., isolated low HDL-C) accounted for 37.5% (95% CI: 35.9%–39.1%), 18.3% (95% CI: 17.2%–19.4%), and 44.2% (95% CI: 42.5%–46.0%), respectively. Conclusions: Some two-thirds of those with dyslipidemia had low HDL-C or high TG but normal LDL-C and normal TC. As these people are less likely to benefit from currently available drug treatments in terms of CVD prevention, it is important to identify other effective strategies or interventions targeted at them in order to achieve more precise and cost-effective management of dyslipidemia.

KeywordCardiovascular Diseases Cross-sectional Study Dyslipidemias
DOI10.3390/jcm13123624
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaGeneral & Internal Medicine
WOS SubjectMedicine, General & Internal
WOS IDWOS:001256006000001
PublisherMDPI, ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
Scopus ID2-s2.0-85197114321
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionUniversity of Macau
Affiliation1.JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong
2.Faculty of Medicine, Macau University of Science of Technology, Macao
3.Chronic Disease Research Institute, The Children’s Hospital, National Clinical Research Center for Child Health, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, 310052, China
Recommended Citation
GB/T 7714
Zheng, Wenxiao,Zhang, Jiayue,Jiang, Ying,et al. Overlapping Pattern of the Four Individual Components of Dyslipidemia in Adults: Analysis of Nationally Representative Data[J]. Journal of Clinical Medicine, 2024, 13(12), 3624.
APA Zheng, Wenxiao., Zhang, Jiayue., Jiang, Ying., Wang, Shuting., & Yang, Zuyao (2024). Overlapping Pattern of the Four Individual Components of Dyslipidemia in Adults: Analysis of Nationally Representative Data. Journal of Clinical Medicine, 13(12), 3624.
MLA Zheng, Wenxiao,et al."Overlapping Pattern of the Four Individual Components of Dyslipidemia in Adults: Analysis of Nationally Representative Data".Journal of Clinical Medicine 13.12(2024):3624.
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