Hui-Hui Liu1, Sha Li1, Ye-Xuan Cao1, Yuan-Lin Guo1, Cheng-Gang Zhu1, Na-Qiong Wu1, Jian-Jun Li2. 1. State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 BeiLiShi Road, XiCheng District, Beijing, China. 2. State Key Laboratory of Cardiovascular Disease, FuWai Hospital, National Center for Cardiovascular Diseases, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 BeiLiShi Road, XiCheng District, Beijing, China. Electronic address: lijianjun938@126.com.
Abstract
BACKGROUND AND AIMS: The association of triglyceride-rich lipoprotein-cholesterol (TRL-C) with recurrent cardiovascular events (RCVEs) has not been studied. Moreover, whether inflammation can affect TRL-C-associated cardiovascular risk is unknown. This study sought to examine the association between TRL-C and RCVEs, and whether this relationship is modulated by systemic inflammation in statin-treated patients with coronary artery disease (CAD) and nearly normal triglyceride. METHODS: In this study, 6723 CAD patients were consecutively enrolled, following a first CVE with triglyceride <2.3 mmol/L. Baseline lipid profile and high-sensitivity C-reactive protein (hsCRP) levels were determined. All patients were searched for RCVEs. The risk of RCVEs was assessed across quartiles (Q) of baseline TRL-C and further stratified by the median of hsCRP. RESULTS: Over a mean follow-up of 58.91 ± 17.79 months, 538 RCVEs were recorded. After adjustment for potential confounders, Q4 of TRL-C was significantly associated with the risk of RCVEs, which remained unchanged after hsCRP stratification. When subjects were grouped according to both TRL-C and hsCRP levels, patients with Q4 of TRL-C and hsCRP had the highest increase of the risk of RCVEs compared with the reference group (TRL-C Q1-3 and hsCRP Q1-3; HR, 1.90; 95%CI: 1.27-2.87). Furthermore, adding TRL-C to the original predicting model led to a slight but significant improvement. CONCLUSIONS: The present analysis firstly showed that elevated TRL-C was associated with an increased RCVEs risk in statin-treated patients with CAD independent of systemic inflammation, suggesting that it might be a useful marker for risk stratification and a treatment target in this patient population.
BACKGROUND AND AIMS: The association of triglyceride-rich lipoprotein-cholesterol (TRL-C) with recurrent cardiovascular events (RCVEs) has not been studied. Moreover, whether inflammation can affect TRL-C-associated cardiovascular risk is unknown. This study sought to examine the association between TRL-C and RCVEs, and whether this relationship is modulated by systemic inflammation in statin-treated patients with coronary artery disease (CAD) and nearly normal triglyceride. METHODS: In this study, 6723 CAD patients were consecutively enrolled, following a first CVE with triglyceride <2.3 mmol/L. Baseline lipid profile and high-sensitivity C-reactive protein (hsCRP) levels were determined. All patients were searched for RCVEs. The risk of RCVEs was assessed across quartiles (Q) of baseline TRL-C and further stratified by the median of hsCRP. RESULTS: Over a mean follow-up of 58.91 ± 17.79 months, 538 RCVEs were recorded. After adjustment for potential confounders, Q4 of TRL-C was significantly associated with the risk of RCVEs, which remained unchanged after hsCRP stratification. When subjects were grouped according to both TRL-C and hsCRP levels, patients with Q4 of TRL-C and hsCRP had the highest increase of the risk of RCVEs compared with the reference group (TRL-C Q1-3 and hsCRP Q1-3; HR, 1.90; 95%CI: 1.27-2.87). Furthermore, adding TRL-C to the original predicting model led to a slight but significant improvement. CONCLUSIONS: The present analysis firstly showed that elevated TRL-C was associated with an increased RCVEs risk in statin-treated patients with CAD independent of systemic inflammation, suggesting that it might be a useful marker for risk stratification and a treatment target in this patient population.