Literature DB >> 32013600

Association of four lipid components with mortality, myocardial infarction, and stroke in statin-naïve young adults: A nationwide cohort study.

Heesun Lee1,2, Jun-Bean Park1,3, In-Chang Hwang1,4, Yeonyee E Yoon1,4, Hyo Eun Park1,2, Su-Yeon Choi1,2, Yong-Jin Kim1,3, Goo-Yeong Cho1,4, Kyungdo Han5, Hyung-Kwan Kim1,3.   

Abstract

AIMS: Dyslipidaemia is a modifiable cardiovascular risk factor with prognostic implications. Current strategies for lipid management in young adults are largely based on expert recommendations. We investigated the risks of death and cardiovascular disease in relation to each lipid component to establish evidence for primary prevention in young adults.
METHODS: In this nationwide population-based cohort study, we analysed 5,688,055 statin-naïve subjects, aged 20-39 years, undergoing general health check-ups between 2009 and 2014. The endpoint was a composite of clinical events including death, myocardial infarction (MI), and stroke. We compared the incidence and risk of clinical events according to each lipid variable.
RESULTS: During follow-up (median 7.1 years), clinical events occurred in 30,330 subjects (0.53%): 16,262 deaths (0.29%), 8578 MIs (0.15%), and 5967 strokes (0.10%). The risk of clinical events gradually increased with increasing total cholesterol (TC) and triglycerides and decreasing high-density lipoprotein cholesterol (HDL-C), largely driven by MI. Low-density lipoprotein cholesterol (LDL-C) had a J-shaped association with clinical events, showing the lowest risk for LDL-C of 84-101 mg/dL. Among lipid variables, triglycerides remained the sole independent predictor (adjusted hazard ratio, 1.20; p < 0.001) after adjusting for conventional risk factors.
CONCLUSIONS: For statin-naïve young adults, the risk of clinical events was proportional to lipid levels, positively with TC and triglycerides, negatively with HDL-C, and J-shaped with LDL-C. Triglycerides had an independent and the strongest association with the clinical events. Screening and intervention for abnormal lipid levels, particularly triglycerides, from an early age might be of clinical value.

Entities:  

Keywords:  Dyslipidaemia; nationwide population-based cohort; primary prevention; prognosis; young adult

Year:  2020        PMID: 32013600     DOI: 10.1177/2047487319898571

Source DB:  PubMed          Journal:  Eur J Prev Cardiol        ISSN: 2047-4873            Impact factor:   7.804


  7 in total

1.  Augmented risk of dementia in hypertrophic cardiomyopathy: A propensity score matching analysis using the nationwide cohort.

Authors:  Heesun Lee; Hyung-Kwan Kim; Bongseong Kim; Kyungdo Han; Jun-Bean Park; In-Chang Hwang; Yeonyee E Yoon; Hyo Eun Park; Su-Yeon Choi; Yong-Jin Kim; Goo-Yeong Cho
Journal:  PLoS One       Date:  2022-06-16       Impact factor: 3.752

2.  Risk Factors for Premature Myocardial Infarction: A Systematic Review and Meta-analysis of 77 Studies.

Authors:  Sagar B Dugani; Yousif M Hydoub; Ana Patricia Ayala; Roger Reka; Tarek Nayfeh; Jingyi Francess Ding; Shannon N McCafferty; Muayad Alzuabi; Medhat Farwati; M Hassan Murad; Alawi A Alsheikh-Ali; Samia Mora
Journal:  Mayo Clin Proc Innov Qual Outcomes       Date:  2021-06-23

Review 3.  Cardiovascular Research Using the Korean National Health Information Database.

Authors:  Eue Keun Choi
Journal:  Korean Circ J       Date:  2020-05-20       Impact factor: 3.243

Review 4.  Hypertriglyceridemia: A Neglected Risk Factor for Ischemic Stroke?

Authors:  Hai-Jie Liang; Qing-Yi Zhang; Yi-Tong Hu; Guo-Qing Liu; Rong Qi
Journal:  J Stroke       Date:  2022-01-31       Impact factor: 6.967

5.  Association between four nontraditional lipids and ischemic stroke: a cohort study in Shanghai, China.

Authors:  Minhua Tang; Qi Zhao; Kangqi Yi; Yiling Wu; Yu Xiang; Shuheng Cui; Xuyan Su; Yuting Yu; Genming Zhao; Yonggen Jiang
Journal:  Lipids Health Dis       Date:  2022-08-16       Impact factor: 4.315

Review 6.  Triglyceride-Rich Lipoproteins and Their Remnants as Silent Promoters of Atherosclerotic Cardiovascular Disease and Other Metabolic Disorders: A Review.

Authors:  Radu Sascău; Alexandra Clement; Rodica Radu; Cristina Prisacariu; Cristian Stătescu
Journal:  Nutrients       Date:  2021-05-22       Impact factor: 5.717

7.  Comparison of the effectiveness of Martin's equation, Friedewald's equation, and a Novel equation in low-density lipoprotein cholesterol estimation.

Authors:  Youhyun Song; Hye Sun Lee; Su Jung Baik; Soyoung Jeon; Donghee Han; Su-Yeon Choi; Eun Ju Chun; Hae-Won Han; Sung Hak Park; Jidong Sung; Hae Ok Jung; Ji Won Lee; Hyuk-Jae Chang
Journal:  Sci Rep       Date:  2021-06-29       Impact factor: 4.379

  7 in total

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