Association between discordance of LDL-C and non-HDL-C and clinical outcomes in patients with stent implantation: from the FU-Registry

Discordance analyses comparing LDL cholesterol, Non-HDL cholesterol, and apolipoprotein B for cardiovascular risk estimation

For decades, studies have tried to identify the cholesterol marker that best reflects risk of atherosclerotic cardiovascular disease(ASCVD). Comparing low-density-lipoprotein(LDL) cholesterol, non-high-density-lipoprotein(non-HDL) cholesterol, and apolipoprotein B(apoB) as ASCVD risk markers has been challenged by high correlation between them. Thus, discordance analyses, directly addressing disagreements between the cholesterol markers, have emerged. Approaches adopted to define discordance originate in one of three methods: discordance by cut-points, discordance by percentiles, or discordance by residuals. Commonly, concordant lipid levels serve as reference examining the association between discordant lipid levels with risk of ASCVD. Importantly, concordant reference groups present heterogeneity of clinical relevance across different discordance methods as concordant low lipid levels associate with lowest ASCVD risk while concordant high lipid levels associate with highest risk. Thus, results from different discordance approaches cannot be directly compared. Moreover, discordance between cholesterol markers is more frequently seen in individuals treated with lipid-lowering medication than in individuals not treated with lipid-lowering medication. Accordingly, studies performing discordance analyses have reported inconsistent and even conflicting results. Discordance by cut-points appears the most intuitive and clinically applicable method; results from these analyses suggest that elevated LDL cholesterol, non-HDL cholesterol, or apoB levels in individuals not treated with lipid-lowering medication confer increased ASCVD risk while in individuals treated with lipid-lowering medication, elevated non-HDL cholesterol and apoB levels best indicate residual risk. Results from discordance analyses comparing LDL cholesterol, non-HDL cholesterol, and apoB in risk of ASCVD as well as complexities of discordance analyses and considerations regarding interpretations are discussed in this review.

Low-Density Lipoprotein Cholesterol Levels Are Associated With Subsequent Stented-Territory Ischemic Stroke After Carotid Artery Stenting: A Single Center Retrospective Study

Objective

The role of low-density lipoprotein cholesterol (LDL-C) after carotid artery stenting (CAS) is not well known with respect to stented-territory infarction (STI) and in-stent restenosis (ISR). We hypothesized that LDL-C levels after CAS might be independently associated with STI and ISR.

Methods

We conducted a retrospective study for patients with significant extracranial carotid stenosis who were subjected to CAS between September 2013 and May 2021. LDL-C levels were measured after 6 and 12 months following CAS. The association between STI and ISR, and LDL-C was explored using Cox proportional-hazard model.

Results

Of 244 patients enrolled, STI and ISR were observed in 11 (4.5%) and 10 (4.1%) patients, respectively. In multivariable analysis, higher white blood cell count (hazard ratio [HR], 1.408 per 10³/mm³; 95% confidence interval [CI], 1.085-1.828; p=0.010), higher LDL-C levels after 12 months (HR, 1.037 per 1 mg/dL; 95% CI, 1.011-1.063; p=0.005), and ISR (HR, 13.526; 95% CI, 3.405-53.725; p<0.001) were independent predictors of STI. Diabetes (HR, 4.746; 95% CI, 1.026-21.948; p=0.046), smaller stent diameter (HR, 0.725 per 1 mm; 95% CI, 0.537-0.980; p=0.036), and higher LDL-C levels after 12 months (HR, 1.031 per 1 mg/dL; 95% CI, 1.007-1.055; p=0.011) were independent predictors of ISR.

Conclusion

We showed that LDL-C levels after 12 months independently predict STI and ISR after CAS. It is necessary to investigate the optimal target LDL-C level for STI prevention through well designed research in the future.

miR-30b-5p Downregulation as a Predictive Biomarker of Coronary In-Stent Restenosis

In-stent restenosis (ISR) is one of the main limitations of percutaneous coronary intervention (PCI) therapy with drug-eluting stents (DES) implantation. The aim of this study was to determine if circulating microRNAs (miRNAs) have diagnostic capability for determining ISR in a cohort of matched patients. Blood samples were collected from 55 patients who underwent previously PCI and were readmitted for a new coronary angiography. Patients were divided into subgroups comprising patients who presented ISR or not (non-ISR). A microarray analysis determined that up to 49 miRNAs were differentially expressed between ISR and non-ISR patients. Of these, 10 miRNAs are related to vascular smooth muscle and endothelial cells proliferation, migration, and differentiation, well-known hallmarks of vascular remodeling. Additionally, we identified that the expression of miR-30b-5p is significantly lower in serum samples of ISR patients, as compared to non-ISR. A further analysis demonstrated that miR-30b-5p provides better values of the receiver operator characteristic curve than other miRNAs and biochemical parameters. Finally, the in-silico analysis suggests that miR-30b-5p is predicted to target 62 genes involved in different signaling pathways involved in vascular remodeling. In conclusion, we determined for the first time that circulating mi-R30b-5p can reliably prognose restenosis in patient with implanted DES, which could be potentially helpful in the establishment of an early diagnosis and therapy of ISR.

The characteristics and risk factors of in-stent restenosis in patients with percutaneous coronary intervention: what can we do

BACKGROUND

Percutaneous coronary intervention (PCI) is a common treatment for patients with coronary heart disease, and intra-stent restenosis (ISR) is a serious complication after PCI. It's necessary to identify the potential risk factors to provide evidence for the prevention of ISR.

METHODS

The patients who underwent coronary angiography 1 year after PCI in our hospital from January 2017 to May 2019 were selected. The characteristics and results of clinical examination of ISR and no-ISR patients were compared, Multivariate logistic regression analyses were performed to identify the risk factors.

RESULTS

A total of 209 patients were included, the incidence of ISR after PCI was 30.62%. There were significant differences on the hypertension, diabetes, number of coronary artery lesions, reasons for stent implantation, the diameter of stent, the length of stent and stent position between ISR group and no-ISR patients (all p < 0.05). The LDL-C in ISR groups was significantly higher than that of no-ISR group (p = 0.048), there were no significant differences between two groups in FPG, TG, TC, HDL-C, Apo A1, Apo B, LP-a and glycated haemoglobin (all p > 0.05). The hypertension (OR 4.30, 95% CI 1.12-9.34), diabetes (OR 5.29, 95% CI 1.25-9.01), number of coronary artery lesions ≥ 2 (OR 4.84, 95% CI 1.21-9.55), LDL-C ≥ 1.9 mmol/L (OR 5.93, 95% CI 2.29-10.01), unstable angina (OR 2.92, 95% CI 1.20-4.55), left anterior descending artery (OR 4.01, 95% CI 1.73-7.58), diameter of stent ≥ 3 mm (OR 5.42, 95% CI 1.24-10.84), the length of stent > 20 mm (OR 3.06, 95% CI 1.19-5.22) were the independent risk factor for ISR (all p < 0.05).

CONCLUSION

It is necessary to take preventive measures against these risk factors to reduce ISR, and studies with larger sample size and longer follow-up on this issue are needed in the future.

Discordance of Low-Density Lipoprotein Cholestrol and Non-High-Density Lipoprotein Cholestrol and Coronary Artery Disease Severity

BACKGROUND

A sizeable proportion of patients have discordant low-density lipoprotein cholesterol (LDL-C) and non-high-density lipoprotein cholesterol (non-HDL-C).

OBJECTIVES

We assessed the relationship between discordance of LDL-C and non-HDL-C and coronary artery disease (CAD) severity.

METHODS

We retrospectively evaluated the data of 574 consecutive patients who underwent coronary angiography. Fasting serum lipid profiles were recorded, SYNTAX and Gensini scores were calculated to establish CAD complexity and severity. We determined the medians for LDL-C and non-HDL-C to examine the discordance between LDL-C and non-HDL-C. Discordance was defined as LDL-C greater than or equal to the median and non-HDL-C less than median; or LDL-C less than median and non-HDL-C greater than or equal to median. A p value < 0.05 was accepted as statistically significant.

RESULTS

LDL-C levels were strongly and positively correlated with non-HDL-C levels (r = 0.865, p < 0.001) but 15% of patients had discordance between LDL-C and non-HDL-C. The percentage of patients with a Gensini score of zero or SYNTAX score of zero did not differ between discordant or concordant groups (p = 0.837, p = 0.821, respectively). Mean Gensini and SYNTAX scores, percentage of patients with Gensini score ≥20 and SYNTAX score >22 were not different from group to group (p = 0.635, p = 0.733, p = 0.799, p = 0.891, respectively). Also, there was no statistically significant correlation between LDL-C and Gensini or SYNTAX scores in any of the discordant or concordant groups. Additionally, no correlation was found between non-HDL-C and Gensini or SYNTAX score.

CONCLUSIONS

While there was discordance between LDL-C and non-HDL-C (15% of patients), there is no difference regarding CAD severity and complexity between discordant and concordant groups.

High low-density lipoprotein cholesterol as an independent risk factor for coronary restenosis in hemodialysis patients undergoing percutaneous coronary interventions

HD patients have been reported to have a higher risk of restenosis after percutaneous coronary intervention (PCI). The aim of this study was to investigate the risk factors of coronary restenosis in HD patients. We enrolled 54 HD patients (mean age: 66.5 ± 10.1 years; 72.2% men; mean HD duration: 3.7 years), who received PCI and follow-up coronary angiography. Of the patients, 22 (40.7%) had restenosis within 3 to 12 months of PCI. Univariate logistic analysis showed low-density lipoprotein cholesterol (LDL-C)/high-density lipoprotein cholesterol (HDL-C) ratio, LDL-C, non-HDL-C, and history of major adverse cardiovascular events were significantly associated with coronary restenosis (OR]: 1.89, 1.27, 1.22, and 5.79, respectively). Multivariate analysis showed that LDL-C was significantly associated with coronary restenosis (OR: 1.43). These data suggest that LDL-C is an independent risk factor for coronary restenosis in HD patients undergoing PCI, and strict lipid management may be required.

The Incidence and Possible Predictors of Coronary Restenosis

Objective. Assess time and possible predictors of restenosis after the implantation of first- and second-generation coronary stents and bare metal stents (BMSs) in patients with stable coronary artery disease after elective coronary stenting.

Materials and Methods. From 2010 to 2014, 3,732 (2,897 males, 60 [53; 68] years old) patients with stable exertional angina of functional class I–III underwent coronary stenting. From 2014 to 2017, 1,487 (1,173 males and 314 females) patients returned. Repeat coronary angiography was performed in 699 patients.

Results. A total of 644 first-generation stents, 5,321 second-generation stents, and 473 BMSs were implanted. During the control coronary angiography, contrasting was repeated for 193 first-generation stents, 899 second-generation stents, and 77 BMSs. Restenosis (stenosis of 50 % or more in the previously stented segment) was detected in 28 (14 % of angiographic control) first-generation drug-eluting stents, 94 (10 %) second-generation drug-eluting stents, and 21 (27 %) BMSs. Patients with BMS restenosis returned significantly earlier than patients with restenosis of the first- and second-generation drug-eluting stents (11 [6, 27] months vs. 32 [11; 48]) months and 24 [12; 42] months, respectively; p<0.05). The initial and repeat levels of high-sensitivity C-reactive protein (hs-CRP) were higher in patients with restenosis (2.2 [1.2, 5.0] mg / L vs. 2.1 [1.0, 4.6] mg / L, respectively; p> 0.05) than in patients without restenosis (2.0 [0.9, 4.2] mg / L vs. 1.9 [0.7, 3.5] mg / L respectively, p>0.05). Blood levels of hs-CRP ≥2 mg / L according to receiver operating characteristic curve (ROC) analysis at return visit were used as a predictor to identify restenosis of stents with a diameter <3 mm and a length >25 mm – area under the curve (AUC) 0.67 (95 % confidence interval (CI) 0.51–0.84), p <0.05, odds ratio 3.7 (95 % CI 1.1–12.1), p<0.05. Stent type had a significant effect on the time to restenosis in the survival analysis (p<0.0005).

Conclusion. The time from coronary stenting to the return visit of patients presenting with restenosis after the implantation of first- and second-generation drug-eluting stents is consistent; median time of the return visit of patients with restenosis of the first-generation stents was 2–3 years after coronary stenting. Blood levels of hs-CRP ≥2 mg / L at the return visit is a predictor of restenosis of stents with a diameter <3 mm and a length >25 mm.

Innovatively Established Analysis Method for Lipoprotein Profiles Based on High-Performance Anion-Exchange Liquid Chromatography

Separation analysis of lipoprotein classes have various methods, including ultracentrifugation, electrophoresis, and gel permeation chromatography (GPC). All major lipoprotein classes can be separated via ultracentrifugation, but performing the analysis takes a long time. Low-density lipoprotein (LDL), intermediate-density lipoprotein (IDL), and very low-density lipoprotein (VLDL) in patient samples cannot be sufficiently separated via electrophoresis or GPC. Thus, we established a new method [anion-exchange high-performance liquid chromatography (AEX-HPLC)] by using HPLC with an AEX column containing nonporous gel and an eluent containing chaotropic ions. AEX-HPLC can separate five lipoprotein fractions of high-density lipoprotein (HDL), LDL, IDL, VLDL, and others in human serum, which can be used in substitution for ultracentrifugation method. The method was also approved for clinical use in the public health-care insurance in Japan in 2014. Furthermore, we developed an additional method to measure cholesterol levels of the four leading lipoprotein fractions and two subsequent fractions (i.e., chylomicron and lipoprotein(a)). We evaluated the clinical usefulness of AEX-HPLC in patients with coronary heart disease (CHD), diabetes, and kidney disease and in healthy volunteers. Results indicate that the cholesterol levels in IDL and VLDL measured by AEX-HPLC may be useful risk markers of CHD or diabetes. Furthermore, we developed another new method for the determination of alpha-tocopherol (AT) in lipoprotein classes, and this method is composed of AEX-HPLC for the separation of lipoprotein classes and reverse-phase chromatography to separate AT in each lipoprotein class. The AT levels in LDL were significantly correlated with the lag time to copper ion-induced LDL oxidation, which is an index of oxidation resistance. The application of AEX-HPLC to measure various substances in lipoproteins will be clinically expected in the future.

Non-HDL-c/TC: A Novel Lipid-Related Marker in the Assessment of Severity of Coronary Artery Lesions and Cardiovascular Outcomes

Background

Non-high-density lipoprotein cholesterol (non-HDL-c) predicts the severity of coronary artery lesions in patients not treated with statin. The association between non-HDL-c and severity of coronary artery lesions in patients treated with lipid-lowering therapy has been unknown.

Hypothesis

We hypothesize a novel marker of non-HDL-c/TC predicts the severity of coronary artery lesions and clinical outcomes in 12 months in the patients treated with statin.

Method

473 subjects who met inclusion criteria were eligible for inclusion. Coronary artery angiography (CAG) was performed, and the Gensini score (GS) was calculated in all the subjects divided into three subgroups of low risk, medium risk, and high risk by the tertiles of GS. The non-HDL-c value was calculated as TC minus HDL-c, while non-HDL-c/TC was the ratio of non-HDL-c and TC.

Results

The concentration of non-LDL-c differed between non-obstructive-CAD group and obstructive-CAD group (P < 0.05), and non-HDL-c/TC was elevated in the obstructive-CAD group (P < 0.05). Increased GS was associated with increasing non-HDL-c/TC (P < 0.05). Non-HDL-c/TC (OR: 108.50, 95% CI: 1.57–7520.28; P=0.030) remained as an independent predicting factor of high risk under GS stratification. In unadjusted Cox model, high non-HDL-c/TC (RR: 1.976, 95% CI: 1.155–3.382; P=0.013) predicted the occurrence of adverse events. After multivariate adjustment, high non-HDL-c/TC (RR: 1.921, 95% CI: 1.105–3.339; P=0.021) was an independent predictor of poor outcomes.

Conclusion

High level of non-HDL-c/TC presented an excellent prognostic value compared with other lipid-related markers in CAD patients treated with statin.

Atherosclerotic Coronary Artery Disease in Patients With Cardiometabolic Syndrome

Major risk factors for cardiovascular disease (CVD) include aging, gender, smoking, family history and cardiometabolic syndrome. The relative residual risks for CVD after statin treatment for primary and secondary prevention have been reported by several large-scale randomized clinical trials. Statin treatment appears to prevent one-third of the onset and progression of CVD, but not the remaining two-thirds. There are three major problems regarding the residual risk of CVD: 1) Insufficient reduction of low-density lipoprotein cholesterol levels; 2) Low levels of high-density lipoprotein cholesterol and elevated triglyceride; and 3) Insufficient control of other risk factors (high blood pressure, obesity, metabolic syndrome, type 2 diabetes, etc.). Thus, a multifaceted preventive approach should be needed to prevent CVD after statin treatment.