Evidence mapPaperPMID 39286552Full record

ArticleCurrent developments in nutrition2024

Novel Classification of Cardiovascular Disease Subtypes Reveals Associations Between Mortality and Polyunsaturated Fatty Acids: Insights from the United Kingdom Biobank Study.

Jiamei Li, Haiqing Zheng, Xuanhui Chen, Shuo Ma, Qing Li, Jiaqi Sun, Ziying Chen, Li Yunyi, Li Dantong, Lin Miao and 2 more

Abstract read
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Article in Current developments in nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Jiamei LiDepartment of Epidemiology, School of Public Health, China Medical University, Shenyang, China.
Haiqing ZhengMedical Big Data Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong Province, 510080, China.
Xuanhui ChenMedical Big Data Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong Province, 510080, China.
Shuo MaClinical Data Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Qing LiDepartment of Epidemiology, School of Public Health, China Medical University, Shenyang, China.
Jiaqi SunDepartment of Epidemiology, School of Public Health, China Medical University, Shenyang, China.
Ziying ChenMedical Big Data Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong Province, 510080, China.
Li YunyiSchool of Software, South China University of Technology, China.
Li DantongMedical Big Data Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong Province, 510080, China.
Lin MiaoMedical Big Data Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong Province, 510080, China.
Huiying LiangDepartment of Epidemiology, School of Public Health, China Medical University, Shenyang, China.
Huixian LiMedical Big Data Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong Province, 510080, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Traditional association studies of cardiovascular disease (CVD) categorizations and polyunsaturated fatty acids (PUFAs) yielded conflicting findings. We propose a novel classification system based on fundamental characteristics of cardiovascular patients, such as age, body mass index, waist-hip ratio, to more accurately assess the impact of PUFAs (plasma measures) such as omega (ω)-3 (n-3) and ω-6 on mortality in cardiovascular patients. Methods: Principal component analysis and Results: Among the 35,096 participants, 3,786 fatalities occurred. Three distinct CVD subtypes were identified, with cluster 3 characterized by older age, male gender, and low high-density lipoprotein-cholesterol, having the highest risk of mortality. Clusters 2 and 3 had the highest DHA and ω-6/ω-3 ratios, respectively, compared with Cluster 1. The protective effects of total PUFAs, ω-3, and DHA were mainly reflected in all-cause mortality and were more significant in clusters 2 and 3. Furthermore, the ω-6/ω-3 ratio of the highest quartile increased risk of all-cause [Q3: hazard ratio (HR): 1.14, 95% confidence interval [CI]: 1.00, 1.29; Q4: HR: 1.41, 95% CI: 1.24, 1.61], CVD (Q4: HR: 1.36, 95% CI: 1.07, 1.75), and IHD mortality (Q4: HR: 1.17, 95% CI: 1.12, 2.03) in cluster 3 compared with the first quartile. Conclusions: Our findings highlight the heterogeneity of associations observed for the same type of PUFAs across distinct clusters. This association may be elucidated by the intricate interplay of various factors, encompassing inflammation, lipid metabolism, and cardiovascular health.

Indexed as

cardiovascular diseasemortalitypolyunsaturated fatty acidssubtypesω-3ω-6ω-6/ω-3 ratio

Identifiers

PMID39286552
PMCPMC11403268

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