Remnant cholesterol and risk of premature mortality: an analysis from a nationwide prospective cohort study

Author:

Li Likang1,Lai Jun2,Zhang Jingyi1,Van Spall Harriette G C34,Thabane Lehana567ORCID,Lip Gregory Y H89,Li Guowei1510

Affiliation:

1. Center for Clinical Epidemiology and Methodology (CCEM), Guangdong Second Provincial General Hospital , Guangzhou 510317 , China

2. Department of Cardiology, Guangdong Second Provincial General Hospital , Guangzhou 510317 , China

3. Department of Medicine, McMaster University , Hamilton, L8N 3Z5 ON , Canada

4. Population Health Research Institute, McMaster University , Hamilton, L8L 2X2 ON , Canada

5. Department of Health Research Methods, Evidence, and Impact (HEI), McMaster University , Hamilton, L8S 4L8 ON , Canada

6. Centre for Evaluation of Medicines, St Joseph's Health Care , Hamilton, L8N 4A6 ON , Canada

7. Faculty of Health Sciences, University of Johannesburg , Johannesburg 2094 , South Africa

8. Liverpool Centre for Cardiovascular Science, University of Liverpool , Liverpool L7 8TX , UK

9. Department of Clinical Medicine, Aalborg University , Aalborg 9000 , Denmark

10. Father Sean O'Sullivan Research Centre, St. Joseph's Healthcare Hamilton , Hamilton, L8N 4A6 ON , Canada

Abstract

Abstract Aims To explore the relationship between remnant cholesterol (RC) and the risk of premature mortality as well as life expectancy in the general population. Methods We included a total of 428 804 participants from the UK Biobank for analyses. Equivalent population percentiles approach based on the low-density lipoprotein cholesterol cut-off points was performed to categorize participants into three RC groups: low (with a mean RC of 0.34 mmol/L), moderate (0.53 mmol/L), and high (1.02 mmol/L). We used multivariable Cox proportional hazards models to evaluate the relationship between RC groups and the risk of premature mortality (defined as death before age 75 years). Life table methods were used to estimate life expectancy by RC groups. Results During a median follow-up of 12.1 years (Q1–Q3 11.0–13.0), there were 23 693 all-cause premature deaths documented, with an incidence of 4.83 events per 1000 person-years [95% confidence interval (CI): 4.77–4.89]. Compared with the low RC group, the moderate RC group was associated with a 9% increased risk of all-cause premature mortality [hazard ratio (HR) = 1.09, 95% CI: 1.05–1.14], while the high RC group had an 11% higher risk (HR = 1.11, 95% CI: 1.07–1.16). At the age of 50 years, high RC group was associated with an average 2.2 lower years of life expectancy for females, and an average 0.1 lower years of life expectancy for males when compared with their counterparts in the low RC group. Conclusions Elevated RC was significantly related to an increased risk of premature mortality and a reduced life expectancy. Premature death in the general population would benefit from measurement to aid risk stratification and proactive management of RC to improve cardiovascular risk prevention efforts.

Funder

Science Foundation of Guangdong Second Provincial General Hospital

Youth Science Foundation of Guangdong Second Provincial General Hospital

Publisher

Oxford University Press (OUP)

Subject

Cardiology and Cardiovascular Medicine,Health Policy

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