Adjustment of the GRACE Risk Score by Monocyte to High-Density Lipoprotein Ratio Improves Prediction of Adverse Cardiovascular Outcomes in Patients With Acute Coronary Syndrome Undergoing Percutaneous Coronary Intervention

High-density lipoprotein-related inflammatory indices predict repeat revascularization in coronary drug-eluting stenting

Background: HDL-C-related inflammatory indices are potential predictors of repeat revascularization (RR) after coronary drug-eluting stenting. Methods: Multivariable Cox regression with restricted cubic splines and receiver operating curve was used. Results: The median follow-up was 50 months. A total of 521 (35.42%) patients experienced RR. The incidence of RR was positively associated with the monocyte-to-HDL-C ratio, neutrophil-to-HDL-C ratio and lymphocyte-to-HDL-C ratio (log-rank p < 0.05). After being fully adjusted, the largest tertile of monocyte-to-HDL-C ratio, neutrophil-to-HDL-C ratio, white blood cell-to-HDL-C ratio and lymphocyte-to-HDL-C ratio increased the risk by 38, 30, 28 and 37%, respectively. Monocyte-to-HDL-C ratio was dose-responsive and linearly correlated with RR. HDL-C-related inflammatory indices had over 60% predictive ability. Conclusion: HDL-C-related inflammatory indices independently predicted RR after coronary drug-eluting stenting.

Monocyte-to-High Density Lipoprotein Cholesterol Ratio Positively Predicts Coronary Artery Disease and Multi-Vessel Lesions in Acute Coronary Syndrome

Purpose

We investigated the hypothesis that MHR (monocyte-to-high density lipoprotein cholesterol ratio) is related to the severity of coronary artery in ACS (acute coronary syndrome).

Methods

In this case-control study, we recruited 15,853 participants undergoing the first time percutaneous coronary intervention (PCI) including 4093 normal controls, 10,518 chronic coronary artery disease (CAD), and 1242 ACS cases. Examination of demographic clinical data and biochemical profiles, as well as MHR values, were performed before PCI. The relationship between MHR and severity of coronary artery lesion in ACS was analyzed. We also used a flow cytometric assay to distinguish CD14+/CD16- classical monocyte subsets in peripheral blood mononucleated cells from CAD patients.

Results

MHR was higher in patients with ACS compared with MHR in normal control and chronic CAD (normal control vs chronic CAD vs ACS: 0.46 ± 0.27 × 109/mmol vs 0.53 ± 0.29 × 109/mmol vs 0.73 ± 0.47 × 109/mmol, P < 0.001). MHR showed a significantly progressive increase as the angiographic severity of coronary lesions increased (single vessel lesion vs multi-vessel lesions in ACS: 0.54 ± 0.31 × 109/mmol vs 0.58 ± 0.35 × 109/mmol, P < 0.001), and classical monocyte subset to HDL-C ratio (CMHR) was increased in with CAD patients compared with control [4.69 (IQR, 1.06, 2.97) × 103/mmol vs 1.92 (IQR, 0.92, 3.04) × 103/mmol, P = 0.02]. Using a multivariate analysis, after adjusting for age, gender, body mass index (BMI), diabetes, and dyslipidemia, MHR was positively associated with multi-vessel lesions in ACS [OR (odds ratio): 1.28 (95% CI: 1.03-1.59, P = 0.029)].

Conclusion

MHR level could be a potential predictor of coronary artery lesion severity in ACS.

Inflammation in coronary artery disease-clinical implications of novel HDL-cholesterol-related inflammatory parameters as predictors

Coronary artery disease (CAD) is the leading cause of death worldwide. Inflammation and atherosclerotic plaques are the primary pathological mechanisms of CAD. Upon stimulation by deposited lipids and damaged endothelium, innate and adaptive immune cells are activated and recruited to initiate plaque development. Therefore, inflammatory cells and mediators are used to identify inflammatory risk in CAD patients. HDL-cholesterol (HDL-C) is demonstrated to have anti-inflammatory roles in atherosclerosis by interfering with plasma membrane lipid rafts of immune cells. Based on this, novel inflammatory parameters such as monocyte to HDL-C ratio are explored to improve the risk estimation of CAD prognosis. Moreover, with the advance in treatment strategies targeting the inflammatory process in atherosclerosis, identifying CAD patients with increased inflammatory risk by novel inflammatory parameters is of great importance in guiding CAD management. Therefore, this review aims to summarize the current information regarding inflammatory activation and HDL-C in atherosclerosis with a particular focus on the clinical implication of the novel HDL-C-related inflammatory parameters in CAD.

Prognostic value of systemic inflammatory response index in patients with acute coronary syndrome undergoing percutaneous coronary intervention

BACKGROUND

The systemic inflammatory response index (SIRI) is a novel inflammatory biomarker in many diseases.

OBJECTIVES

The aim of this study was to examine the association between SIRI and adverse events in patients with the acute coronary syndrome (ACS) undergoing percutaneous coronary intervention.

METHODS

A total of 1724 patients with ACS enrolled from June 2016 to November 2017 at a single centre were included in this study, and SIRI was calculated for each patient. The primary endpoint was the composite of major adverse cardiovascular events (MACE), including overall death, non-fatal myocardial infarction, non-fatal stroke, and unplanned repeat revascularization.

RESULTS

During a median follow-up of 927 days, 355 patients had MACE. Multivariate Cox analysis showed that SIRI was significantly associated with MACE (hazard ratio: 1.127, 95% confidence interval: 1.034-1.229 p = .007). The results were consistent in multiple sensitivity analyses. The addition of SIRI had an incremental effect on the predictive ability of the Global Registry of Acute Coronary Events risk score for MACE (integrated discrimination improvement: 0.007, p = .040; net reclassification improvement: 0.175, p = .020; likelihood ratio test: p < .001). The restricted cubic spline showed a monotonic increase with a greater SIRI value for MACE (p < .001).

CONCLUSION

SIRI was an independent risk factor for MACE and provided incremental prognostic information in patients with ACS undergoing percutaneous coronary intervention. KEY MESSAGESThe SIRI is a strong and independent risk factor for adverse outcomes in patients with ACS undergoing percutaneous coronary intervention.Higher SIRI is associated with a more severe disease status.The SIRI could increase the prognostic value of the GRACE risk score.

Combination of TyG Index and GRACE Risk Score as Long-Term Prognostic Marker in Patients with ACS Complicated with T2DM Undergoing PCI

OBJECTIVE

We aimed to investigate the prognostic value of the triglyceride-glucose (TyG) index combined the with Global Registry of Acute Coronary Events (GRACE) score in adult acute coronary syndrome (ACS) patients with type 2 diabetes mellitus (T2DM) who underwent percutaneous coronary intervention (PCI).

METHODS

The study enrolled total 899 ACS patients with T2DM who underwent PCI. TyG index and the GRACE risk score were calculated and assessed by median. The correlation was analyzed by Spearman's rank correlation coefficient. The cumulative major adverse cardiovascular event (MACE) curve was generated using the Kaplan-Meier method. Multivariate Cox regression was used to identify predictors of MACEs. Additionally, the receiver operating characteristic curve (ROC), net reclassification index (NRI) and Integrated Discrimination Improvement (IDI) were applied to analyze the performance of each single factor index and combined multivariate index in predicting MACE.

RESULTS

In the ACS patients with T2DM after PCI, there were significant differences in the TyG index and GRACE risk score between the MACE group and the MACE-free group (P < 0.001). Kaplan-Meier analysis showed that the TyG index combined with the GRACE risk score was positively correlated with the occurrence of MACEs (log rank P < 0.001). Multivariate Cox regression analyses showed that the TyG index, the GRACE risk score, and the TyG index combined with the GRACE risk score were independent predictors of long-term MACEs (adjusted HR: 1.805; 95% CI: 1.479-2.203, P < 0.001; adjusted HR: 1.012; 95% CI: 1.009-1.016, P < 0.001; and adjusted HR: 2.337; 95% CI: 1.805-3.025, P < 0.001, respectively). Correlation analysis indicated that the TyG index was positively correlated with the GRACE risk score (R = 0.140, P < 0.001). The analysis of AUC, NRI and IDI revealed that the combined multivariate index performed better prognostic role than each single factor index in predicting the occurrence of MACE.

CONCLUSION

Both the GRACE risk score and the TyG index could be significant and independent predictors of clinical outcomes in ACS patients with T2DM after PCI. A combination of them could be enhanced predictions of clinical outcomes in these patients.