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  4. Comparison of predictive performance of various fatty acids for the risk of cardiovascular disease events and all-cause deaths in a community-based cohort
 
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Comparison of predictive performance of various fatty acids for the risk of cardiovascular disease events and all-cause deaths in a community-based cohort

Journal
Atherosclerosis
Journal Volume
230
Journal Issue
1
Pages
140-147
Date Issued
2013
Author(s)
KUO-LIONG CHIEN  
HUNG-JU LIN  
Hsu, Hsiu-Ching
Chen, Pei-Chun
TA-CHEN SU  
MING-FONG CHEN  
Lee, Yuan-Teh
DOI
10.1016/j.atherosclerosis.2013.06.015
URI
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84881618006&doi=10.1016%2fj.atherosclerosis.2013.06.015&partnerID=40&md5=42a771566520f4cffc90bab2f9c67902
https://scholars.lib.ntu.edu.tw/handle/123456789/514801
Abstract
Background: The issue of whether saturated fats and trans fats are superior predictors of all-cause death and cardiovascular disease than n-3 polyunsaturated fatty acids, such as eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA), remains a matter of contention. Furthermore, few studies have examined the relationship between fatty acids and the outcomes of cardiovascular disease (CVD) in Asian populations. The aim of this study was to compare the effectiveness of various plasma fatty acids as predictors for all-cause death and CVD events in an ethnic Chinese population. Methods: This study assembled a community-based prospective cohort, comprising 1833 participants (60.6±10.5yrs, 44.5% women) who underwent a comprehensive evaluation of fatty acids in blood using gas chromatography. None of the subjects had a history of CVD at the time of recruitment. Results: A total of 568 individuals died and 275 individuals developed CVD during the follow-up period (median of 9.6 years; interquartile range of 8.9-10.5 years). Following adjustment for established cardiovascular risk factors, the relative risk of all-cause death in the highest quartile, compared with the lowest quartile, was 1.33 for saturated fats (95% confidence interval [CI], 1.01-1.75, test for trend, P=0.015), 1.71 for trans fats (95% CI, 1.27-2.31, test for trend, P=0.0003), 0.77 for EPA (95% CI, 0.59-1.00, test for trend, P=0.048), and 0.89 for DHA (95% CI, 0.68-1.18, test for trend, P=0.354). Similar patterns were observed for CVD events. Trans fats presented the largest area under the receiver operator characteristic curve (0.740, 95% CI, 0.716-0.766) for the prediction of all-cause death. A mutually adjusted two-marker model indicated that saturated fats and trans fats were significant predictors of all-cause death and CVD; however, the other fatty acids were not. In addition, trans fats presented the greatest improvement in net reclassification for all-cause death (7.7%, P=0.003), followed by EPA (3.8%, P=0.033). Saturated fats presented the greatest improvement in net reclassification for CVD events (5.6%, P=0.039). Conclusions: Our data provides strong evidence to support that plasma saturated fats and trans fats can predict all-cause death and CVD more effectively than other fatty acid markers. ? 2013 Elsevier Ireland Ltd.
SDGs

[SDGs]SDG3

Other Subjects
docosahexaenoic acid; fatty acid; high density lipoprotein cholesterol; icosapentaenoic acid; low density lipoprotein cholesterol; monounsaturated fatty acid; omega 3 fatty acid; saturated fatty acid; trans fatty acid; adult; area under the curve; article; cardiovascular disease; cardiovascular mortality; cardiovascular risk; Chinese; cholesterol blood level; clinical evaluation; cohort analysis; comparative study; fatty acid blood level; female; follow up; gas chromatography; human; incidence; major clinical study; male; medical history; priority journal; prospective study; receiver operating characteristic; All-cause death; Cardiovascular disease; Cohort; Fatty acids; Aged; Asian Continental Ancestry Group; Cardiovascular Diseases; Cause of Death; Chromatography, Gas; Docosahexaenoic Acids; Eicosapentaenoic Acid; Fatty Acids; Female; Follow-Up Studies; Humans; Male; Middle Aged; Prospective Studies; Reproducibility of Results; Risk Factors; ROC Curve; Sensitivity and Specificity; Treatment Outcome
Type
journal article

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