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Association of Increased Remnant Cholesterol and the Risk of Coronary Artery Disease: A Retrospective Study.
Kexin, Wang; Yaodong, Ding; Wen, Gao; Rui, Wang; Jiaxin, Yang; Xiaoli, Liu; Hua, Shen; Hailong, Ge.
Affiliation
  • Kexin W; Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
  • Yaodong D; Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
  • Wen G; Department of Cardiology, Bayannaoer City Hospital, Bayannaoer, China.
  • Rui W; Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
  • Jiaxin Y; Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
  • Xiaoli L; Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
  • Hua S; Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
  • Hailong G; Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Front Cardiovasc Med ; 8: 740596, 2021.
Article de En | MEDLINE | ID: mdl-34778402
ABSTRACT
Background and

Aims:

Low-density lipoprotein cholesterol (LDL-C) is the primary target of lipid-lowering therapy in coronary artery disease (CAD). But some patients with the normal levels of LDL-C still suffer from CAD progression and malignant outcomes (e.g., major adverse cardiovascular events [MACEs]), and the mechanism is unclear. The previous prospective studies demonstrated that the remnant cholesterol (RC) and non-high-density lipoprotein cholesterol (non-HDL-C) were capable to predict the risk of CAD. This study evaluated the association between RC and non-HDL-C with the risk of CAD.

Methods:

In our study, 12,563 patients were enrolled. We categorized patients into four concordance/discordance groups according to the median of RC, LDL-C, and non-HDL-C. Then, we performed a propensity score matching (PSM) strategy. The unadjusted and adjusted multivariate logistic regression models were used to evaluate the relationship between the lipid concentrations.

Results:

In this study, 8,658 (68.9%) patients were male with a median age of 61 (54 and 67) years. The multivariate logistic regression showed the odds ratio (OR) of RC was 1.952 (CI = 1.276-2.988, p = 0.002). The OR of the low RC/high LDL-C group was 0.626 (CI = 0.504-0.778, p < 0.001) and the OR of the low RC/high non-HDL-C group was 0.574 (CI = 0.462-0.714, p < 0.001). The p-values for interaction between the RC and hypertension, diabetes were both < 0.001.

Conclusion:

Our study showed a significant association between the RC and CAD. The level of RC was more capable to reflect the risk of CAD than LDL-C and non-HDL-C. There was an interaction relationship between RC and age, gender, hypertension, diabetes, in CAD. But we did not find whether there was a relationship between the non-HDL-C and CAD.
Mots clés

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Langue: En Journal: Front Cardiovasc Med Année: 2021 Type de document: Article Pays d'affiliation: Chine

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Langue: En Journal: Front Cardiovasc Med Année: 2021 Type de document: Article Pays d'affiliation: Chine