&lt;p&gt;The Predictive Value of Monocyte Count to High-Density Lipoprotein Cholesterol Ratio in Restenosis After Drug-Eluting Stent Implantation&lt;/p&gt;

Jiang, Nan; Meng, Shuai; Hu, Hongyu; Chen, Ce; Peng, Jianjun; Zou, Jin

doi:10.2147/ijgm.s275202

Cited by 6 publications

(4 citation statements)

References 39 publications

(64 reference statements)

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“…Therefore, early identification of risk factors for ISR is crucial in preventing major Previous studies 5,6 summarized the predictors of ISR as follows: medication history (eg, clopidogrel), prior PCI, stent characteristics, and some indicators concerning inflammatory responses and lipid metabolism (eg, TC, LDL-C, CRP, monocyte). 11 Similar to the previous studies, 11 we also found that monocytes can be one of the independent risk factors for ISR. Nan et al reported that activated monocytes release large amounts of pro-inflammatory cytokines, and then cause vasoconstriction and non-specific recruitment, proliferation, and activation of other cells, including vascular smooth muscle cells in the vascular wall, which may account for the results in our study.…”

Section: Discussionsupporting

confidence: 90%

“…The preoperative factors comprised the following: the morphological characteristics of the diseased vessel, the location of the lesion, the degree of stenosis, and part of blood biochemical indicators which are associated with inflammatory responses and lipid metabolism. [3][4][5][6][7][8] Among these, the levels of monocyte and LDL-C are considered to be critical factors related to inflammatory response and to lipid metabolism, [9][10][11] respectively.…”

Section: Introductionmentioning

confidence: 99%

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A Nomogram for Predicting In-Stent Restenosis Risk in Patients Undergoing Percutaneous Coronary Intervention: A Population-Based Analysis

Luo¹,

Tan²,

Zhao³

et al. 2022

IJGM

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In-stent restenosis (ISR) is a fatal complication of percutaneous coronary intervention (PCI). An early predictive model with the medical history of patients, angiographic characteristics, inflammatory indicators and blood biochemical index is urgently needed to predict ISR events. We aim to establish a risk prediction model for ISR in CAD patients undergoing PCI. Methods: A total of 477 CAD patients who underwent PCI with DES (drug-eluting stents) between January 2017 and December 2020 were retrospectively enrolled. And the preoperative factors were compared between the non-ISR and ISR groups. The least absolute shrinkage and selection operator (LASSO) and multi-factor logistic regression were used for statistical analysis. The prediction model was evaluated using receiver operator characteristic (ROC) analysis, the Hosmer-Lemeshow 2 statistic, and the calibration curve. Results: In this study, 94 patients developed ISR after PCI. Univariate analysis showed that post-PCI ISR was associated with the underlying disease (COPD), higher Gensini score (GS score), higher LDL-C, higher neutrophil/lymphocyte ratio, and higher remnant cholesterol (RC). The multi-factor logistic regression analysis suggested that remnant cholesterol (odds ratio [OR] = 2.09, 95% confidence interval , P < 0.001), GS score (OR = 1.01, 95% CI [1.00, 1.02], P = 0.002), medical history of COPD (OR = 4.56, 95% CI [1.98,10.40], P < 0.001), and monocyte (OR = 1.30, 95% CI [1.04, 1.70], P < 0.001) were independent risk factors for ISR. A nomogram was generated and displayed favorable fitting (Hosmer-Lemeshow test P = 0.609), discrimination (area under ROC curve was 0.847), and clinical usefulness by decision curve analysis. Conclusion: Patients with certain preoperative characteristics, such as a history of COPD, higher GS scores, higher levels of RC, and monocytes, who undergo PCI may have a higher risk of developing ISR. The predictive nomogram, based on the above predictors, can be used to help identify patients who are at a higher risk of ISR early on, with a view to provide post-PCI health management for patients.

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Section: Discussionsupporting

confidence: 90%

Section: Introductionmentioning

confidence: 99%

A Nomogram for Predicting In-Stent Restenosis Risk in Patients Undergoing Percutaneous Coronary Intervention: A Population-Based Analysis

Luo¹,

Tan²,

Zhao³

et al. 2022

IJGM

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“…Moreover, MHR independently contributes to bare-metal stent restenosis (SR) in population with stable or unstable angina pectoris (OR, 3.64; 95% CI, 2.45–4.84; P < 0.001) and ACS (HR, 1.03; 95% CI, 1.02–1.06; P < 0.01) [ 69 , 93 ]. Similarly, a high relation between SR and MHR is demonstrated in ACS patients who have received drug-eluting stent implantation after a mean follow-up duration of 12 months [ 83 ]. As contrast-induced nephropathy (CIN) is an acute complication of PCI and inflammation is the main pathophysiological mechanism, MHR is explored to reveal the association with CIN (adjusted OR, 4.48; 95% CI, 1.38–14.5; P < 0.01) [ 67 ].…”

Section: Hdl-cholesterol–related Inflammatory Parameters In Coronary ...mentioning

confidence: 99%

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

Guo

2022

Coronary Artery Disease

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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.

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“…Drug-eluting stent (DES) reduced the probability of repeat revascularization, compared with bare-metal stent (BMS) [1], However, despite the use of DES and other novel medication at large, In-stent restenosis (ISR) remains the most common complication after PCI, approximately 10% occurred in stents implanted patients [2,3]. Several studies showed that laboratory serological parameters or microRNAs which detected before the coronary stenting procedure could predict ISR [4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Gensini Score as a Predictor for in-Stent Restenosis in Patients with Coronary Artery Disease (CAD)

Shi-qi

Gai

Wang

et al. 2021

Preprint

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Background: Despite Drug-eluting stent (DES) have considerably reduced the rates of in-stent restenosis (ISR). ISR is still the most common limitation of percutaneous coronary intervention（PCI). The aim of this study was to investigate potential predictors on ISR in patients with DES implantation for Coronary heart disease (CAD).Methods: A retrospective case-control study was conducted. A total of 916 patients who underwented DESs implantations and angiography follow-up within one year at the First Affiliated hospital of Xinjiang medical University, between September, 2013, and September, 2016, were included. The subjects were divided into 2 groups, ISR (n=315) and non-ISR (n=601), ISR was defined as a diameter stenosis of ≥50% located within a coronary stent or up to 5 mm beyond the stent edges. Clinical data and angiographic characteristics were collected. CAD severity was evaluated by calculating the Gensini score. The logistic regression and ROC analysis were pereformed to screen out efficient predictors.Results: Comparation between the ISR group and the non-ISR group, Gensini Score, diastolic pressure, waist, blood glucose, left ventricular end diastolic diameter (LVED), left ventricular end systolic diameter (LVES) levels were higher in ISR group, and ApoA1, ejection fraction (EF%), and accidence of myocardial infarction (MI) were lower in the ISR group. Comparation of angiographic characteristics between the groups, the results showed the occurrence of stenosis in vessels of left main coronary artery (LM), left anterior descending artery(LAD), or right coronary artery (RCA) have more vulnerability to ISR. Patients in the ISR group have been implanted more stents. In univariate regression analysis, diastolic pressure, waist, history of MI, ApoA1, number of implanted stents, and Gensini Score were associated with ISR. After multiple logistic regression analysis, Gensini score was screen out to be an independent risk factor of ISR. Receiver operating characteristic curve analysis identified that the Gensini score was a reliable predictor for ISR, area under curve (AUC): 0.80 (0.78-0.83), Sensitivity and specificity were 73.33% and 72.33%, respectively.Conclusions: Gensini score was independently associated with ISR, and was a good predictor for ISR in patients with DES implantaion.

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<p>The Predictive Value of Monocyte Count to High-Density Lipoprotein Cholesterol Ratio in Restenosis After Drug-Eluting Stent Implantation</p>

Cited by 6 publications

References 39 publications

A Nomogram for Predicting In-Stent Restenosis Risk in Patients Undergoing Percutaneous Coronary Intervention: A Population-Based Analysis

A Nomogram for Predicting In-Stent Restenosis Risk in Patients Undergoing Percutaneous Coronary Intervention: A Population-Based Analysis

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

Gensini Score as a Predictor for in-Stent Restenosis in Patients with Coronary Artery Disease (CAD)

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