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Low-density lipoprotein cholesterol (LDL-C) has been considered as the primary target for the prevention and treatment of atherosclerotic cardiovascular disease (ASCVD). However, there are still residual cardiovascular risks in some patients even if LDL-C achieves the target level. Emerging evidence suggestes that elevated triglyceride (TG) level or triglyceride-rich lipoprotein (TRL) cholesterol (TRL-C) is one of the important components of the residual cardiovascular risks. Omega-3 fatty acids have been shown to be one of the effective drugs for reducing TG. However, its efficacy in reducing the risk of ASCVD is inconsistent in large randomized clinical trials. There is lack of consensus among Experts regarding the application of omega-3 fatty acids in cardiovascular diseases including heart failure, arrhythmia, cardiomyopathy, hypertension, and sudden death. Hence, the current consensus will comprehensively and scientifically present the detailed knowledge about the omega-3 fatty acids from a variety of aspects to provide a reference for its management of omega-3 fatty acids application in the Chinese population.

AimThe aim of this study was to evaluate the relationship between renal function and low-density lipoprotein cholesterol (LDL-C) goal achievement and compare the strategy of lipid-lowering therapy (LLT) among the patients with coronary artery disease (CAD) with different renal functions.MethodsIn this study, we enrolled 933 Chinese patients with CAD from September 2020 to June 2021 admitted to the Cardiometabolic Center of Fuwai Hospital in Beijing consecutively. All individuals were divided into two groups based on their estimated glomerular filtration rate (eGFR). The multiple logistical regression analysis was performed to identify and compare the independent factors which impacted LDL-C goal achievement in the two groups after at least 3 months of treatment.ResultsThere were 808 subjects with eGFR ≥ 60 ml/min/1.73 m2 who were divided into Group 1 (G1). A total of 125 patients with eGFR 2 were divided into Group 2 (G2). The rate of LDL-C goal attainment (LDL-C P = 0.02), even though there was no significant difference in the aspect of LLT between the two groups (high-intensity LLT: 82.50% vs. 85.60% P = 0.40). Notably, in G1, the proportion of LDL-C goal achievement increased with the intensity of LLT (23.36% vs. 39.60% vs. 64.52% in the subgroup under low-/moderate-intensity LLT, or high-intensity LLT without proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitor (PCSK9i), or high-intensity LLT with PCSK9i, respectively, P < 0.005). In addition, in G2, there was a trend that the rate of LDL-C goal achievement was higher in the subgroup under high-intensity LLT (26.60% in the subgroup under high-intensity LLT without PCSK9i and 25.00% in the subgroup under high-intensity LLT with PCSK9i) than that under low-/moderate-intensity LLT (15.38%, P = 0.49). Importantly, after multiple regression analysis, we found that eGFR 2 [odds ratio (OR) 1.81; 95%CI, 1.15–2.87; P = 0.01] was an independent risk factor to impact LDL-C goal achievement. However, the combination strategy of LLT was a protective factor for LDL-C goal achievement independently (statin combined with ezetimibe: OR 0.42; 95%CI 0.30–0.60; P < 0.001; statin combined with PCSK9i: OR 0.15; 95%CI 0.07–0.32; P < 0.001, respectively).ConclusionImpaired renal function (eGFR 2) was an independent risk factor for LDL-C goal achievement in the patients with CAD. High-intensity LLT with PCSK9i could improve the rate of LDL-C goal achievement significantly. It should be suggested to increase the proportion of high-intensity LLT with PCSK9i for patients with CAD, especially those with impaired renal function.

Additional file 1: Table S1. Weighted multivariable ordinal logistic regression analysis between RC levels (log-transformed) and age-stratified quartiles of the CERAD delayed score. Table S2. Weighted multivariable ordinal logistic regression analysis between the TC/RC ratio (log-transformed) and age-stratified quartiles of the CERAD delayed score.

Additional file 1: Table S1. Medications at admission and on discharge of patients with and without MACEs. Table S2. Cox regression analyses of RC, Lp(a), and hsCRP levels for predicting MACEs according to LDL-C levels. Table S3. Pearson correlation analyses of the association among RC, Lp(a), and hsCRP.

The benefits and harms of dual antiplatelet therapy (DAPT) continuation with aspirin and clopidogrel beyond 1 year after percutaneous coronary intervention (PCI) with drug-eluting stent (DES) implantation for high ischemic or bleeding risk patients remain unclear. All consecutive patients undergoing PCI were prospectively included in the Fuwai PCI Registry from January 2013 to December 2013. We evaluated 7521 patients who were at high risk for thrombotic or hemorrhagic complications and were events free at 1 year after the index procedure. “TWILIGHT-like” patients with high risk of bleeding or ischemic events were defined by clinical and angiographic criteria. The primary ischemic outcome was major adverse cardiac and cerebrovascular events [MACCE] (a composite of all-cause death, myocardial infarction, or stroke). Median follow-up duration was 2.4 years. The risk of MACCE was significantly lower in DAPT>1-year group (n = 5252) than DAPT≤1-year group (n = 2269) (1.5% vs. 3.8%; hazard ratio [HR]: 0.37; 95% confidence interval [CI]: 0.27–0.50; P < .001). This difference was largely driven by a lower risk of all-cause death. In contrast, the risk of Bleeding Academic Research Consortium (BARC) type 2, 3 or 5 bleeding was statistically similar between the two groups (1.0% vs. 1.1%; HR: 0.80; 95% CI: 0.50–1.28; P = .346). Results were consistent after multivariable regression and propensity-score matching. Prolonged DAPT beyond 1 year after DES implantation resulted in a significantly lower rate of atherothrombotic events, including a mortality benefit, with no higher risk of clinically relevant bleeding in “TWILIGHT-like” patients who were at high-risk for ischemic or bleeding events.

Additional file 1: Table S1. Correlation analysis between log-transformed PCSK9 and related-parameters in all patients (N=2293). Table S2. Multiple linear analysis of PCSK9 and coagulation-related indexes. Table S3. Cox regression analysis of PCSK9, PT-t status with MACEs. Figure S1. The flowchart of this study. PCSK9, proprotein convertase subtilisin/kexin type 9; MACEs, major adverse cardiovascular events.

Additional file 1.