Improvement of evaluation in Chinese patients with atherosclerotic cardiovascular disease using the very-high-risk refinement: a population-based study

Optimal Definition and Risk Stratification in Prediabetes With Stable Coronary Heart Disease: A Prospective Cohort Study

BACKGROUND

The optimal definition and risk stratification approach to identify high-risk patients with prediabetes and stable coronary heart disease has not been well studied to date. The objective of the current study is to compare the prognostic value of different definitions of prediabetes, and to explore the role of "very-high-risk" (VHR) criteria according to the 2018 American Heart Association/American College of Cardiology cholesterol guideline in the risk stratification of patients with prediabetes and stable coronary heart disease.

METHODS AND RESULTS

This prospective large-cohort study enrolled a total of 7930 patients with stable coronary heart disease. Prediabetes was defined according to various guidelines and further classified on the basis of the VHR criteria according to the 2018 American Heart Association/American College of Cardiology guideline. The primary end point was major adverse cardiovascular events (MACEs), which was defined as the composite end point of cardiac death, nonfatal acute myocardial infarction, and stroke. During a median of 3 years' follow-up, a total of 256 MACEs occurred. Prediabetes defined according to the World Health Organization/International Expert Committee criteria was associated with significant increased MACE risk compared with normoglycemia (adjusted hazard ratio [HR], 1.484 [95% CI, 1.139-1.935]; P=0.0035). The VHR group was associated with increased MACE risk compared with the non-VHR group (adjusted HR, 1.783 [95% CI, 1.344-2.366], P<0.0001). The VHR criteria played an important role in risk stratification, and prediabetes combined with VHR criteria was associated with higher MACE risk regardless of the prediabetes definition.

CONCLUSIONS

Our findings suggested the potential use of the World Health Organization/International Expert Committee definition and VHR criteria in risk stratification of patients with prediabetes and stable coronary heart disease.

CircRNA-mediated regulation of cardiovascular disease

Cardiovascular diseases (CVDs) encompass a range of disorders affecting the heart and blood vessels, such as coronary heart disease, cerebrovascular disease (e.g., stroke), peripheral arterial disease, congenital heart anomalies, deep vein thrombosis, and pulmonary embolism. CVDs are often referred to as the leading cause of mortality worldwide. Recent advancements in deep sequencing have unveiled a plethora of noncoding RNA transcripts, including circular RNAs (circRNAs), which play pivotal roles in the regulation of CVDs. A decade of research has differentiated various circRNAs by their vasculoprotective or deleterious functions, revealing potential therapeutic targets. This review provides an overview of circRNAs and a comprehensive examination of CVDs, the regulatory circRNAs within the vasculature, and the burgeoning research domain dedicated to these noncoding RNAs.

Exposure of cumulative atherogenic index of plasma and the development of prediabetes in middle-aged and elderly individuals: evidence from the CHARLS cohort study

BACKGROUND

The impact of dynamic changes in the degree of atherosclerosis on the development of prediabetes remains unclear. This study aims to investigate the association between cumulative atherogenic index of plasma (CumAIP) exposure during follow-up and the development of prediabetes in middle-aged and elderly individuals.

METHODS

A total of 2,939 prediabetic participants from the first wave of the China Health and Retirement Longitudinal Study (CHARLS) were included. The outcomes for these patients, including progression to diabetes and regression to normal fasting glucose (NFG), were determined using data from the third wave. CumAIP was calculated as the ratio of the average AIP values measured during the first and third waves to the total exposure duration. The association between CumAIP and the development of prediabetes was analyzed using multivariable Cox regression and restricted cubic spline (RCS) regression.

RESULTS

During a median follow-up period of 3 years, 15.21% of prediabetic patients progressed to diabetes, and 22.12% regressed to NFG. Among the groups categorized by CumAIP quartiles, the proportion of prediabetes progressing to diabetes gradually increased (Q1: 10.61%, Q2: 13.62%, Q3: 15.65%, Q4: 20.95%), while the proportion regressing to NFG gradually decreased (Q1: 23.54%, Q2: 23.71%, Q3: 22.18%, Q4: 19.05%). Multivariable-adjusted Cox regression showed a significant positive linear correlation between high CumAIP exposure and prediabetes progression, and a significant negative linear correlation with prediabetes regression. Furthermore, in a stratified analysis, it was found that compared to married individuals, those who were unmarried (including separated, divorced, widowed, or never married) had a relatively higher risk of CumAIP-related diabetes.

CONCLUSION

CumAIP is closely associated with the development of prediabetes. High CumAIP exposure not only increases the risk of prediabetes progression but also hinders its regression within a certain range. These findings suggest that monitoring and maintaining appropriate AIP levels may help prevent the deterioration of blood glucose levels.

Association of HMGCR rs17671591 and rs3761740 with lipidemia and statin response in Uyghurs and Han Chinese

Background

Dyslipidemia plays a very important role in the occurrence and development of cardiovascular disease (CVD). Genetic factors, including single nucleotide polymorphisms (SNPs), are one of the main risks of dyslipidemia. 3-hydroxy-3-methylglutaryl-CoA reductase (HMGCR) is not only the rate-limiting enzyme step of endogenous cholesterol production, but also the therapeutic target of statins.

Methods

We investigated 405 Han Chinese and 373 Uyghur people who took statins for a period of time, recorded their blood lipid levels and baseline data before and after oral statin administration, and extracted DNA from each subject for SNP typing of HMGCR rs17671591 and rs3761740. The effects of HMGCR rs17671591 and rs3761740 on lipid levels and the effect of statins on lipid lowering in Han Chinese and Uyghur ethnic groups were studied.

Results

In this study, for rs17671591, the CC vs. TT+CT model was significantly correlated with the level of LDL-C before oral statin in the Uyghur population, but there were no correlations between rs17671591 and the level of blood lipid before oral statin in the Han population. The CC vs. TT+CT and CT vs. CC+TT models were significantly correlated with the level of LDL-C after oral statin in the Uyghur population. There was no significant correlation between rs3761740 with blood lipids before and after oral statin in the Han population. For rs3761740, before oral statin, the CC vs. AA+CA model was significantly correlated with the level of LDL-C, and the CA vs. CC+AA model was significantly correlated with the level of total cholesterol (TC), low density lipoprotein cholesterol (LDL-C), and non-high density lipoprotein cholesterol (HDL-C) in the Uyghur population. After oral statin, the CC vs. AA+CA and CA vs. CC+AA models were significantly correlated with the level of TC, LDL-C, and apolipoprotein (APOB), and the C vs. A model was significantly correlated with the level of TC, triglyceride (TG), LDL-C, and APOB in the Uyghur population. Particularly, the CT vs. CC+TT model of rs17671591 was significantly correlated with the changes of LDL-C after oral statin in the Uyghur population. In this study, we also explored the association of rs17671591 and rs3761740 with the rate of dyslipidemia as a reference.

Conclusion

We found that HMGCR rs3761740 was correlated with the levels of TC, LDL-C, and non-HDL-C before and after oral statin in Uyghurs, but not with blood lipid levels in the Han population. In the Uyghur population, HMGCR rs17671591 was associated with the level of LDL-C before and after oral statin, and also affected the changes of LDL-C after oral statin.

Machine learning-based prediction model for the efficacy and safety of statins

Objective

The appropriate use of statins plays a vital role in reducing the risk of atherosclerotic cardiovascular disease (ASCVD). However, due to changes in diet and lifestyle, there has been a significant increase in the number of individuals with high cholesterol levels. Therefore, it is crucial to ensure the rational use of statins. Adverse reactions associated with statins, including liver enzyme abnormalities and statin-associated muscle symptoms (SAMS), have impacted their widespread utilization. In this study, we aimed to develop a predictive model for statin efficacy and safety based on real-world clinical data using machine learning techniques.

Methods

We employed various data preprocessing techniques, such as improved random forest imputation and Borderline SMOTE oversampling, to handle the dataset. Boruta method was utilized for feature selection, and the dataset was divided into training and testing sets in a 7:3 ratio. Five algorithms, including logistic regression, naive Bayes, decision tree, random forest, and gradient boosting decision tree, were used to construct the predictive models. Ten-fold cross-validation and bootstrapping sampling were performed for internal and external validation. Additionally, SHAP (SHapley Additive exPlanations) was employed for feature interpretability. Ultimately, an accessible web-based platform for predicting statin efficacy and safety was established based on the optimal predictive model.

Results

The random forest algorithm exhibited the best performance among the five algorithms. The predictive models for LDL-C target attainment (AUC = 0.883, Accuracy = 0.868, Precision = 0.858, Recall = 0.863, F1 = 0.860, AUPRC = 0.906, MCC = 0.761), liver enzyme abnormalities (AUC = 0.964, Accuracy = 0.964, Precision = 0.967, Recall = 0.963, F1 = 0.965, AUPRC = 0.978, MCC = 0.938), and muscle pain/Creatine kinase (CK) abnormalities (AUC = 0.981, Accuracy = 0.980, Precision = 0.987, Recall = 0.975, F1 = 0.981, AUPRC = 0.987, MCC = 0.965) demonstrated favorable performance. The most important features of LDL-C target attainment prediction model was cerebral infarction, TG, PLT and HDL. The most important features of liver enzyme abnormalities model was CRP, CK and number of oral medications. Similarly, AST, ALT, PLT and number of oral medications were found to be important features for muscle pain/CK abnormalities. Based on the best-performing predictive model, a user-friendly web application was designed and implemented.

Conclusion

This study presented a machine learning-based predictive model for statin efficacy and safety. The platform developed can assist in guiding statin therapy decisions and optimizing treatment strategies. Further research and application of the model are warranted to improve the utilization of statin therapy.

Association of Triglyceride Glucose-Derived Indices with Recurrent Events Following Atherosclerotic Cardiovascular Disease

Background

Triglyceride glucose (TyG) and TyG-body mass index (TyG-BMI) are reliable surrogate indices of insulin resistance and used for risk stratification and outcome prediction in patients with atherosclerotic cardiovascular disease (ASCVD). Here, we inserted estimated average glucose (eAG) into the TyG (TyAG) and TyG-BMI (TyAG-BMI) as derived parameters and explored their clinical significance in cardiovascular risk prediction.

Methods

This was a population-based cohort study of 9,944 Chinese patients with ASCVD. The baseline admission fasting glucose and A1C-derived eAG values were recorded. Cardiovascular events (CVEs) that occurred during an average of 38.5 months of follow-up were recorded. We stratified the patients into four groups by quartiles of the parameters. Baseline data and outcomes were analyzed.

Results

Distribution of the TyAG and TyAG-BMI indices shifted slightly toward higher values (the right side) compared with TyG and TyG-BMI, respectively. The baseline levels of cardiovascular risk factors and coronary severity increased with quartile of TyG, TyAG, TyG-BMI, and TyAG-BMI (all P<0.001). The multivariate-adjusted hazard ratios for CVEs when the highest and lowest quartiles were compared from low to high were 1.02 (95% confidence interval [CI], 0.77 to 1.36; TyG), 1.29 (95% CI, 0.97 to 1.73; TyAG), 1.59 (95% CI, 1.01 to 2.58; TyG-BMI), and 1.91 (95% CI, 1.16 to 3.15; TyAG-BMI). The latter two showed statistical significance.

Conclusion

This study suggests that TyAG and TyAG-BMI exhibit more information than TyG and TyG-BMI in disease progression among patients with ASCVD. The TyAG-BMI index provided better predictive performance for CVEs than other parameters.

Efficacy and Safety of Ongericimab in Chinese Patients With Primary Hypercholesterolemia and Mixed Dyslipidemia

BACKGROUND

A phase 3 trial was conducted to evaluate the efficacy and safety of ongericimab, a monoclonal antibody that inhibits proprotein convertase subtilisin/kexin type 9, as an add-on treatment to optimized lipid-lowering therapy in Chinese patients with primary hypercholesterolemia and mixed dyslipidemia.

METHODS AND RESULTS

A total of 806 patients who were receiving stable and optimized lipid-lowering therapy but did not achieve their low-density lipoprotein cholesterol (LDL-C) targets were enrolled and randomly assigned in a 2:1:2:1 ratio to receive either ongericimab 150 mg or matching placebo every 2 weeks, or ongericimab 300 mg or matching placebo every 4 weeks for 52 weeks. Efficacy and safety were evaluated in 802 patients who received at least 1 dose of ongericimab or placebo. The primary end point was the percentage change in LDL-C from baseline to week 24. Our findings demonstrated that the least-squares mean difference of percentage change in LDL-C from baseline to week 24 was -67.7% (95% CI, -72.5% to -63.0%; P<0.0001) in the ongericimab 150 mg every 2 weeks group compared with the placebo every 2 weeks group, and -61.2% (95% CI, -67.1% to -55.2%; P<0.0001) in the ongericimab 300 mg every 4 weeks group compared with the placebo every 4 weeks group. These reductions were sustained up to week 52. Furthermore, treatment with ongericimab favorably altered other lipid parameters. A similar incidence of adverse events was observed in the ongericimab and placebo groups.

CONCLUSIONS

Ongericimab, as an add-on treatment to optimized lipid-lowering therapy, significantly reduced LDL-C and was well-tolerated in Chinese patients with primary hyperlipidemia and mixed dyslipidemia who did not achieve their LDL-C targets.

REGISTRATION

URL: https://www.clinicaltrials.gov; Unique identifier: NCT04781114.

Tafolecimab in Chinese patients with non-familial hypercholesterolemia (CREDIT-1): a 48-week randomized, double-blind, placebo-controlled phase 3 trial

Background

Tafolecimab, a fully human proprotein convertase subtilisin/kexin type 9 (PCSK9) monoclonal antibody developed for the treatment of hypercholesterolemia, demonstrated robust lipid-lowering efficacy and favorable safety in previous short-term studies. We aimed to assess the long-term efficacy and safety of tafolecimab in Chinese non-familial hypercholesterolemia (non-FH) patients.

Methods

Non-FH patients at high or very-high cardiovascular risk with screening low-density lipoprotein cholesterol (LDL-C) level ≥1.8 mmol/L or non-FH patients with screening LDL-C level ≥3.4 mmol/L and on stable lipid-lowering therapy for at least 4 weeks, were randomized in a 2:2:1:1 ratio to receive subcutaneous tafolecimab 450 mg Q4W, tafolecimab 600 mg Q6W, placebo 450 mg Q4W, or placebo 600 mg Q6W, respectively, in the 48-week double-blind treatment period. The primary endpoint was the percent change from baseline to week 48 in LDL-C levels.

Findings

A total of 618 patients were randomized and 614 patients received at least one dose of tafolecimab (n = 411) or placebo (n = 203). At week 48, tafolecimab induced significant reductions in LDL-C levels (treatment differences versus placebo [on-treatment estimand]: -65.0% [97.5% CI: -70.2%, -59.9%] for 450 mg Q4W; -57.3% [97.5% CI: -64.0%, -50.7%] for 600 mg Q6W; both P < 0.0001). Significantly more patients treated with tafolecimab achieved ≥50% LDL-C reductions, LDL-C < 1.8 mmol/L, and LDL-C < 1.4 mmol/L than placebo group at both dose regimens (all P < 0.0001). Furthermore, tafolecimab significantly reduced non-HDL-C, apolipoprotein B, and lipoprotein(a) levels. The most commonly-reported treatment emergent adverse events in the tafolecimab groups included upper respiratory infection, urinary tract infection and hyperuricemia.

Interpretation

Tafolecimab dosed at 450 mg Q4W and 600 mg Q6W was safe and showed superior lipid-lowering efficacy versus placebo, providing a novel treatment option for Chinese hypercholesterolemia patients.

Funding

This study was sponsored by Innovent Biologics, Inc.

Efficacy and Safety of Single-Pill Combination of Rosuvastatin and Ezetimibe in Chinese Patients with Primary Hypercholesterolemia Inadequately Controlled by Statin Treatment (ROZEL): A Randomized, Double-Blind, Double Dummy, Active-Controlled Phase 3 Clinical Trial

INTRODUCTION

Many patients with primary hypercholesterolemia do not achieve their plasma low-density lipoprotein cholesterol (LDL-C) goals with statin alone under a recommended dose of statin (e.g., 10 mg rosuvastatin) in China. The objective of this phase III study was to evaluate the efficacy and safety of a new single-pill combination (SPC) of rosuvastatin 10 mg/ezetimibe 10 mg (R10/E10) in this population.

METHODS

This was a randomized, double-blind, double-dummy, active-controlled study in patients with primary hypercholesterolemia inadequately controlled with statin alone. The participants were randomized 1:1 to receive SPC R10/E10 or R10. The primary objective was to demonstrate the superiority of SPC R10/E10 vs. R10 in reducing the LDL-C levels after 8 weeks.

RESULTS

This trial randomized 305 participants to SPC R10/E10 (n = 153) and R10 (n = 152). The superiority of SPC R10/E10 over R10 was demonstrated with the least square (LS) mean difference of percent change in LDL-C from baseline to week 8: - 13.85% (95% confidence interval [CI] - 20.15% to - 7.56%, P < 0.0001). The proportion of participants who achieved the LDL-C target (< 2.6 mmol/l) at week 8 was larger with SPC R10/E10 (n = 80, 54.1%) than with R10 (n = 42, 29.2%) (Odds ratio = 2.80, 95% CI 1.70 to 4.61, P < 0.0001). No unexpected safety findings were reported.

CONCLUSION

The results suggest that SPC R10/E10 improve LDL-C reduction and goal achievement in Chinese patients with primary hypercholesterolemia not adequately controlled on statin therapy, without new safety findings.

TRIAL REGISTRATION

ClinicalTrials.gov (NCT04669041).

2023 China Guidelines for Lipid Management

Atherosclerotic cardiovascular disease (ASCVD) is the leading cause of death among urban and rural residents in China, and elevated low-density lipoprotein cholesterol (LDL-C) is a risk factor for ASCVD. Considering the increasing burden of ASCVD, lipid management is of the utmost importance. In recent years, research on blood lipids has made breakthroughs around the world, hence a revision of China guidelines for lipid management is imperative, especially since the target lipid levels in the general population vary in respect to the risk of ASCVD. The level of LDL-C, which can be regarded as appropriate in a population without frisk factors, can be considered abnormal in people at high risk of developing ASCVD. As a result, the "Guidelines for the prevention and treatment of dyslipidemia" were adapted into the "China Guidelines for Lipid Management" (henceforth referred to as the new guidelines) by an Experts' committee after careful deliberation. The new guidelines still recommend LDL-C as the primary target for lipid control, with CVD risk stratification to determine its target value. These guidelines recommend that moderate intensity statin therapy in adjunct with a heart-healthy lifestyle, be used as an initial line of treatment, followed by cholesterol absorption inhibitors or/and proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors, as necessary. The new guidelines provide guidance for lipid management across various age groups, from children to the elderly. The aim of these guidelines is to comprehensively improve the management of lipids and promote the prevention and treatment of ASCVD by guiding clinical practice.

2023 Chinese guideline for lipid management

Atherosclerotic cardiovascular disease (ASCVD) is the leading cause of death among urban and rural residents in China, and elevated low-density lipoprotein cholesterol (LDL-C) is a risk factor for ASCVD. Considering the increasing burden of ASCVD, lipid management is of the utmost importance. In recent years, research on blood lipids has made breakthroughs around the world, hence a revision of Chinese guideline for lipid management is imperative, especially since the target lipid levels in the general population vary in respect to the risk of ASCVD. The level of LDL-C, which can be regarded as appropriate in a population without frisk factors, can be considered abnormal in people at high risk of developing ASCVD. As a result, the "Guidelines for the prevention and treatment of dyslipidemia" were adapted into the "Chinese guideline for Lipid Management" (henceforth referred to as the new guidelines) by an Experts' committee after careful deliberation. The new guidelines still recommend LDL-C as the primary target for lipid control, with cardiovascular disease (CVD) risk stratification to determine its target value. These guidelines recommend that moderate intensity statin therapy in adjunct with a heart-healthy lifestyle, be used as an initial line of treatment, followed by cholesterol absorption inhibitors or/and proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors, as necessary. The new guidelines provide guidance for lipid management across various age groups, from children to the elderly. The aim of these guidelines is to comprehensively improve the management of lipids and promote the prevention and treatment of ASCVD by guiding clinical practice.

HMGCR gene polymorphism is associated with residual cholesterol risk in premature triple-vessel disease patients treated with moderate-intensity statins

BACKGROUND

To investigate the association of HMGCR and NPC1L1 gene polymorphisms with residual cholesterol risk (RCR) in patients with premature triple-vessel disease (PTVD).

METHODS

Three SNPs within HMGCR including rs12916, rs2303151, and rs4629571, and four SNPs within NPC1L1 including rs11763759, rs4720470, rs2072183, and rs2073547 were genotyped. RCR was defined as achieved low-density lipoprotein cholesterol (LDL-C) concentrations after statins higher than 1.8 mmol/L (70 mg/dL).

RESULTS

Finally, a total of 609 PTVD patients treated with moderate-intensity statins were included who were divided into two groups: non-RCR group (n = 88) and RCR group (n = 521) according to LDL-C concentrations. Multivariate logistic regression showed the homozygotes for the minor allele of rs12916 within HMGCR gene (CC) were associated with a 2.08 times higher risk of RCR in recessive model [odds ratio (OR): 2.08, 95% confidence interval (CI): 1.16-3.75]. In codominant model, the individuals homozygous for the minor allele of rs12916 (CC) were associated with a 2.26 times higher risk of RCR (OR: 2.26, 95% CI: 1.16-4.43) while the heterozygous individuals (CT) were not, compared with the individuals homozygous for the major allele of rs12916 (TT). There was no significant association between the SNPs within NPC1L1 gene and RCR in various models.

CONCLUSIONS

We first reported that the variant homozygous CC of rs12916 within HMGCR gene may incur a significantly higher risk of RCR in PTVD patients treated with statins, providing new insights into early individualized guidance of precise lipid-lowering treatment.

Current Guideline Risk Stratification and Cardiovascular Outcomes in Chinese Patients Suffered From Atherosclerotic Cardiovascular Disease

Background and Aims

Heterogeneity exists among patients with atherosclerotic cardiovascular disease (ASCVD) with regard to the risk of recurrent events. Current guidelines have definitely refined the disease and we aimed to examine the practicability in Chinese population.

Methods

A cohort of 9944 patients with ASCVD was recruited. Recurrent events occurred during an average of 38.5 months' follow-up were collected. The respective and combinative roles of major ASCVD (mASCVD) events and high-risk conditions, being defined by 2018 AHA/ACC guideline, in coronary severity and outcome were studied.

Results

The number of high-risk conditions was increased with increasing number of mASCVD events (1.95 ± 1.08 vs. 2.16 ± 1.10 vs. 2.42 ± 1.22). Trends toward the higher to the highest frequency of multi-vessel coronary lesions were found in patients with 1- (71.1%) or ≥2 mASCVD events (82.8%) when compared to those without (67.9%) and in patients with 2- (70.5%) or ≥3 high-risk conditions (77.4%) when compared to those with 0-1 high-risk condition (61.9%). The survival rate was decreased by 6.2% between none- and ≥2 mASCVD events or by 3.5% between 0-1 and ≥3 high-risk conditions. Interestingly, diabetes was independently associated with outcome in patients with 1- [1.54(1.06-2.24)] and ≥2 mASCVD events [1.71(1.03-2.84)]. The positive predictive values were increased among groups with number of mASCVD event increasing (1.10 vs. 1.54 vs. 1.71).

Conclusion

Propitious refinement of ASCVD might be reasonable to improve the survival. Concomitant diabetes was differently associated with the incremental risk among different ASCVD categories, suggesting the need of an appropriate estimate rather than a 'blanket' approach in risk stratification.