Coronary Artery Disease: From Mechanism to Clinical Practice

Baseline High-Sensitivity C-Reactive Protein as a Predictor of Adverse Clinical Events in Patients with Coronary Artery Disease Undergoing Percutaneous Coronary Intervention: A Meta-Analysis

Inflammation in patients with coronary artery disease (CAD) has been linked to adverse clinical outcomes. A useful biomarker for measuring inflammation levels, high-sensitivity C-reactive protein (hs-CRP) in the blood can be used to detect the presence of low-grade inflammation. This study sought to assess the predictive value of baseline hs-CRP levels for adverse clinical events in CAD patients undergoing percutaneous coronary intervention (PCI). To investigate this topic, a meta-analysis was performed. We conducted a systematic search of PubMed, Embase, and the Cochrane Library for original articles reporting the correlation between hs-CRP levels and adverse clinical events in CAD patients undergoing PCI. We followed the Preferred Reporting Items for Systematic Reviews and Meta-analyses guidelines and conducted a meta-analysis by extracting relevant data. Our pooled calculations yielded hazard ratios or odds ratios with 95% confidence intervals. A total of 28 studies comprising 60544 patients were included in this analysis. High baseline hs-CRP levels predicted increased risk for major adverse cardiac events ( P = 0.037), major adverse cardiac and cerebrovascular events ( P = 0.020), all-cause mortality ( P = 0.001), cardiovascular mortality ( P < 0.001), death and/or myocardial infarction ( P = 0.017) in patients, as well as restenosis ( P < 0.001). However, there was no association between elevated baseline hs-CRP levels and thrombosis. In conclusion, in CAD patients undergoing PCI, baseline hs-CRP levels are reliable predictors of major adverse cardiac events, major adverse cardiac and cerebrovascular events, all-cause mortality, cardiovascular mortality, death and/or myocardial infarction, and restenosis. Therefore, hs-CRP can effectively assist in prognosis determination for CAD patients undergoing PCI.

Development of a surrogate model for predicting atherosclerotic plaque progression based on agent based modeling data

BackgroundAtherosclerosis of the coronary arteries is a chronic, progressive condition characterized by the buildup of plaque within the arterial walls. Coronary artery disease (CAD), more specifically coronary atherosclerosis (CATS), is one of the leading causes of death worldwide. Computational modeling frameworks have been used for simulation of atherosclerotic plaque progression and with the advancement of agent-based modeling (ABM) the simulation results became more accurate. However, there is a need for optimization of resources for predictive modeling, hence surrogate models are being built to substitute lengthy computational models without compromising the results.ObjectiveThis study explores the development of a surrogate model for atherosclerotic plaque progression using ABM simulation data.MethodThe dataset used for this study contains samples from latin-hypercube sampling based generated simulation parameters used in conjunction with 15 patient-specific geometries and corresponding plaque progression data. The developed surrogate model is based on deep learning using artificial neural networks (ANN).ResultsThe surrogate model achieved an accuracy of 95.4% in benchmarking with the ABM model it was built upon which indicates the robustness of the framework.ConclusionAdoption of surrogate models with high accuracy in practice opens an avenue for utilization of high-fidelity decision support systems for predicting atherosclerotic plaque progression in real-time.

Comparison of Platelet Function Tests for Long-Term Cardiovascular Events after Percutaneous Coronary Interventions

Patients with high on-treatment platelet reactivity (HTPR) undergoing percutaneous coronary intervention (PCI) for acute coronary syndrome (ACS) face increased risks of major adverse cardiovascular events (MACEs). Although platelet function tests like thrombelastography (TEG), vasodilator-stimulated phosphoprotein (VASP), PL-11, and VerifyNow have been described, the correlation between them and their prognostic implications remains uncertain. This prospective study aims to evaluate the consistency and effectiveness of four platelet function detection methods in predicting long-term MACEs in patients with ACS. All 98 ACS patients undergoing PCI with clopidogrel were assessed for HTPR using four platelet function detection methods. The endpoint was the occurrence of MACEs, including cardiac death, nonfatal myocardial infarction (MI), and target vessel revascularization (TVR). Among 98 patients enrolled from April 1, 2014 to June 30, 2014, 27 (27.6%) patients with VerifyNow-detected HTPR (P2Y12 reaction units [PRUs] >240). The incidence of HTPR was 58.2% for TEG, 52% for VASP, and 13.3% for PL-11. VerifyNow and TEG showed the highest consistency in detecting HTPR (kappa = 0.201, p = 0.015). During a median follow-up of 6.1 years, 29 MACEs occurred, including 24 TVRs, 3 cardiovascular deaths, and 2 nonfatal MIs. VerifyNow-detected HTPR independently predicted long-term MACEs (hazard ratio: 5.73, 95% confidence interval: 2.04-16.09, p = 0.001), even after adjusting for traditional risk factors (TRFs). Receiver operating characteristic (ROC) analysis indicated that the model incorporating TRFs and VerifyNow-detected HTPR had superior predictive discrimination for MACEs (area under ROC curve = 0.889). VerifyNow-detected HTPR independently emerges as a robust predictor for long-term MACEs, demonstrating superior predictive discrimination compared with other platelet function tests.

Analysis of epidemiological characteristics and psychopsychological factors of arrhythmia in the elderly

BACKGROUND

Irregular heart rhythms are a primary manifestation of cardiovascular disease, considerably contributing to global morbidity and mortality rates. Moreover, patients with cardiac arrhythmias often experience a higher prevalence of sleep disorders, anxiety, and depression owing to various factors.

AIM

To investigate the epidemiological characteristics and psychological factors associated with arrhythmia in the elderly and to establish a theoretical foundation for its prevention and treatment in older adults.

METHODS

A retrospective analysis was performed on 169 elderly patients admitted to the Shangqiu First People's Hospital from December 2022 to December 2023. All subjects underwent 24-hour electrocardiogram monitoring to record heart rate, heart rate variability, and 24-hour ambulatory electrocardiogram data. Additionally, patients' medical records were reviewed to gather information on their general condition, including age, gender, underlying diseases, and other relevant factors. Patients were divided into four groups based on their Hamilton Anxiety (HAMA) and Hamilton Depression Rating Scale (HAMD) scores: Group A (HAMA scores ≥ 7), Group B (HAMD scores ≥ 7), Group C (both HAMA and HAMD scores ≥ 7), and Group D (HAMA and HAMD scores < 7). Psychological factors such as depression, anxiety, sleep status, and quality of life were analyzed. Pearson correlation was used to examine the relationship between scores from the Pittsburgh Sleep Quality Index (PSQI), HAMA/HAMD scales, and the Short Form 36-item Health Survey (SF-36) with the presence of arrhythmia.

RESULTS

Among the 169 patients, 87 (51.5%) had concurrent arrhythmia. Atrial arrhythmias constituted the largest proportion at 34.8% (30 out of 87), followed by sinus tachycardia at 24.1% (21 out of 87), and ventricular arrhythmias at 9.2% (8 out of 87). Factors such as advanced age, coronary heart disease, hypertension, smoking, exposure to secondhand smoke, and residing in rural areas significantly increased the risk of developing arrhythmia. There was a statistically significant difference between the two groups regarding PSQI, HAMA-14, HAMD-17, and SF-36 scores. Pearson correlation analysis revealed that PSQI, HAMA-14, and HAMD-17 scores were positively correlated with arrhythmia in the elderly, while the SF-36 score was negatively correlated. The anxiety, depression, and combined anxiety-depression groups exhibited significantly higher PSQI, HAMA-14, and HAMD-17 scores compared to the nonanxiety and non-depression group.

CONCLUSION

Arrhythmia among the elderly is primarily found in individuals with advanced age and existing health conditions. It is also linked to psychological factors such as depression, anxiety, reduced quality of life, and sleep disturbances.

The association of non-exercise estimated cardiorespiratory fitness with hypertension and all-cause mortality in American and Chinese populations: evidence from NHANES and CHARLS

Background

The Non-Exercise Estimated Cardiorespiratory Fitness (NEE-CRF) method has gained attention in recent years due to its simplicity and effectiveness. Hypertension and all-cause mortality are significant public health issues worldwide, highlighting the importance of exploring the association between NEE-CRF and these two conditions.

Methods

The data from the National Health and Nutrition Examination Survey (NHANES) and the China Health and Retirement Longitudinal Study (CHARLS) were utilized to validate the association between NEE-CRF and hypertension as well as all-cause mortality. NEE-CRF was calculated using a sex-specific longitudinal non-exercise equation. To investigate the relationship between hypertension and all-cause mortality, multivariable regression analysis, generalized additive models, smooth curve fittings, and threshold effect analysis were employed. Logistic regression was used for hypertension analysis, while Cox proportional hazards regression was applied for all-cause mortality. Additionally, we conducted stratified analyses and interaction tests among different groups.

Results

In the NHANES, after fully adjusting for covariates, each unit increase in NEE-CRF was associated with a 24% reduction in the risk of hypertension (OR: 0.76, 95% CI: 0.74-0.78) and a 12% reduction in the risk of all-cause mortality (HR: 0.88, 95% CI: 0.79-0.86). Subgroup analyses showed that the relationship between NEE-CRF and both hypertension and all-cause mortality remained negatively correlated across different subgroups. The negative association was also validated in the CHARLS.

Conclusions

Higher NEE-CRF levels may reduce the risk of developing hypertension and all-cause mortality.

Long-term body mass index trajectories and the risk of type 2 diabetes mellitus and atherosclerotic cardiovascular disease using healthcare data from UK Biobank participants

BACKGROUND AND AIMS

Most epidemiological studies ignore long-term burden, gain and variability in body weight in assessing cardiometabolic disease risk. We investigated the associations of body mass index (BMI) trajectories measured by general practitioners with incident type 2 diabetes (T2D) and coronary artery disease (CAD).

METHODS

We used electronic healthcare data from 111,615 European-ancestry participants from UK Biobank (57.1 (SD 7.8) years, 59.6 % women) with at least three BMI measurements (median trajectory period: 14.9 [interquartile range 9.5, 20.1] years). We calculated six variables capturing different long-term aspects, including i.e. burden (long-term average, area under the curve), gain (slope) and variability (standard deviation, average of the [absolute] consecutive BMI differences). The variables were used in principal component (PC) analyses and k-means clustering. Newly-derived dimensions and subgroups were used as exposures in cox-proportional hazard models.

RESULTS

The BMI-trajectory indices were captured in two PCs reflecting BMI burden and BMI gain. The BMI-burden PC associated with higher T2D (hazard ratio [95 % confidence interval] per SD higher PC: 1.57 [1.55,1.60]) and CAD (1.17 [1.15,1.19]) risks, while weak or no associations were observed with the BMI-gain PC (T2D: 1.03 [1.01,1.05]; CAD: 1.01 [0.98,1.03]). Participants with the highest BMI burden, compared to those with lowest BMI burden without significant gain, had highest T2D (6.96 [6.41,7.55]) and CAD (1.57 [1.45,1.69]) risks. Both methods to capture BMI burden, gain and variability showed superior model fit compared to a single baseline BMI assessment.

CONCLUSIONS

Long-term high BMI burden, irrespective of BMI gain, was a risk factor for cardiometabolic disease.

Functionalized extracellular vesicles of mesenchymal stem cells for regenerative medicine

Stem cell-derived extracellular vesicles (EVs) have emerged as a safe and potent alternative to regenerative medicine in recent decades. Furthermore, the adjustment of EV functions has been recently enabled by certain stem cell preconditioning methods, providing an exceptional opportunity to enhance the therapeutic potential or confer additional functions of stem cell-derived EVs. In this review, we discuss the recent progress of functionalized EVs, based on stem cell preconditioning, for treating various organ systems, such as the musculoskeletal system, nervous system, integumentary system, cardiovascular system, renal system, and respiratory system. Additionally, we summarize the expected outcomes of preconditioning methods for stem cells and their EVs. With recent progress, we suggest considerations and future directions for developing personalized medicine based on preconditioned stem cell-derived EVs.

Association Study of MTHFR C677T Polymorphism With Homocysteine Level and Coronary Heart Disease in Elderly Patients

Objective: To investigate the relationship between methylenetetrahydrofolate reductase (MTHFR) C677T gene polymorphism and coronary heart disease (CHD) in the elderly patients living in the coastal area of eastern Zhejiang Province in China. Methods: From September 2021 to May 2022, 163 elderly patients (male ≥ 55 years old, female ≥ 65 years old) admitted to the cardiology department in the Ningbo Lihuili Hospital were collected. Among these patients, 90 patients were diagnosed with CHD (CHD group) and 79 patients did not have CHD (control group). The homocysteine (Hcy) level was measured by the blood biochemical test, and the MTHFR genotype was detected by the PCR fluorescence probe method. Results: Compared with the control group, the CHD group showed a significantly higher distribution frequency of TT genotype (X 2 = 5.137, p < 0.05) and a lower frequency of CC genotype (X 2 = 6.560, p < 0.05), indicating that elderly people with MTHFR677 TT genotype are more likely to have CHD. In addition, the Hcy level of TT genotype in the CHD group and the control group were both obviously higher than that of CT genotype and CC genotype (p < 0.05). Finally, the univariate and multivariate logistic regression analyses showed that gender, hypertension, diabetes, and MTHFR677 TT genotype were independent risk factors for CHD (p < 0.05). Conclusion: MTHFR C677T mutation is significantly associated with the serum Hcy, and is an important genetic risk for CHD development in the elderly people living in the coastal area of eastern Zhejiang province, China.

Effects of plant extracts and derivatives on cardiac K+, Nav, and Cav channels: a review

Natural products (NPs) are endless sources of compounds for fighting against several pathologies. Many dysfunctions, including cardiovascular disorders, such as cardiac arrhythmias have their modes of action regulation of the concentration of electrolytes inside and outside the cell targeting ion channels. Here, we highlight plant extracts and secondary metabolites' effects on the treatment of related cardiac pathologies on hERG, Nav, and Cav of cardiomyocytes. The natural product's pharmacology of expressed receptors like alpha-adrenergic receptors causes an influx of Ca2+ ions through receptor-operated Ca2+ ion channels. We also examine the NPs associated with cardiac contractions such as myocardial contractility by reducing the L-type calcium current and decreasing the intracellular calcium transient, inhibiting the K+ induced contractions, decreasing amplitude of myocyte shortening and showed negative ionotropic and chronotropic effects due to decreasing cytosolic Ca2+. We examine whether the NPs block potassium channels, particular the hERG channel and regulatory effects on Nav1.7.

Oxygen-ozone therapy for myocardial ischemic stroke and cardiovascular disorders

Cardiovascular diseases (CVDs) represent a major concern for human health worldwide. Emergencies in this field include wide repertories of studies dealing primarily with CVD prevention. In addition to dietary habits and lifestyles, medical knowledge is fully needed to improve public educational programs toward cardiovascular risk factors and to enrich the endowment of pharmaceutical options and therapies to address CVDs, particularly for ischemic damage due to an impairment in the endothelial-myocardial relationship. Because ozone is a stimulator of the endothelial nitric oxide synthase/nitric oxide pathway, ozone therapy has been widely demonstrated to have the ability to counteract endothelial-cardiac disorders, providing a novel straightforward opportunity to reduce the impact of CVDs, including atrial fibrillation. In this review, we attempt to establish a state-of-the-art method for the use of ozone in CVD, suggesting that future remarks be addressed to provide fundamental insights into this issue. The purpose of this study was to highlight the role of ozone in the adjunctive medical treatment of cardiovascular pathologies such as acute myocardial infarction due to ischemic disorders.

Chest pain in a multi-ethnic population: A community-based study on sex differences in chest pain prevalence and care contacts

Objective

While chest pain is a common symptom, its prevalence among women and men across ethnic groups is unknown. Moreover, how chest pain is associated with general practitioner (GP) and cardiologist visits in women and men across ethnic groups, remains to be determined.

Design

We used baseline data on 12423 women and 9071 men from the multi-ethnic HELIUS cohort (Amsterdam, the Netherlands; 2011-2015). Using logistic regressions, we studied sex differences in chest pain prevalence across ethnic groups. Next, in those who reported chest pain in the past two years (henceforth; recent chest pain), we studied sex differences in GP, cardiologist, and any specialists visits, in total and by ethnicity. Analyses were adjusted for age, ethnicity (in the total population), socioeconomic factors, associated symptoms, clinical parameters, and lifestyle factors.

Results

Across most ethnic groups, women were more likely than men to report lifetime (33 % vs 29 %, p < .001) and recent chest pain (4.5 % vs 2.7 %, p = .001). In those with recent chest pain, women were more likely to have visited a GP, yet less likely to have visited a cardiologist, but not any specialist, compared to men. These differences were also observed in several sensitivity analyses, including in those with symptoms suggestive of typical Angina Pectoris.

Conclusion

Chest pain is more commonly reported in women than men across most ethnic groups. While men were less likely to have visited a GP than women, women were less likely to have visited a cardiologist. Combined, this suggests delays in care may occur at different points in the care trajectory for women and men.

Association Between Glycated Hemoglobin and Severity of Coronary Artery Disease in Type 2 Diabetic Patients With Myocardial Infarction

Background Cardiovascular disease is a leading cause of morbidity and mortality worldwide, with a high prevalence in developing countries, and coronary artery disease (CAD) is a major contributor to it. Diabetes mellitus is a major risk factor for CAD. However, research on the association between glycated hemoglobin (HbA1c) levels and severity of CAD is lacking in developing countries like Pakistan. Therefore, this study aimed to investigate the association between HbA1c levels and the severity of CAD in type 2 diabetic patients with myocardial infarction (MI). Method This cross-sectional study was conducted on 225 type 2 diabetic patients with CAD at Cardiology Unit, Jinnah Hospital, Lahore, Pakistan during the period of one year from August 2020 to August 2021. The recruitment of patients was done via consecutive sampling and predefined inclusion and exclusion criteria. Data was collected through a self-devised proforma. The Gensini scoring system was used to determine the CAD severity. Participants were stratified into two groups based on the Gensini score system. Statistical analysis was performed using IBM SPSS Statistics for Windows, Version 25 (Released 2017; IBM Corp., Armonk, New York, United States) via an independent t-test and chi-squared tests, Pearson's correlation coefficient, and linear regression analysis. A p-value < 0.05 was set statistically significant. Results Of 225 patients, 145 patients (64.45%) had non-severe CAD, while 80 patients (35.55%) had severe CAD. Patients with good glycemic control accounted for n=69 (30.66%), while those with poor glycemic control comprised n=156 (69.34%) of the study population. The differences in means with standard deviations (means ± SD) of Gensini scores (p=0.001) and HbA1c levels (p=0.002) between two study groups (patients with severe CAD and non-severe CAD) were statistically significant. A significant positive correlation was found between HbA1c levels and CAD severity (correlation coefficient (r)=0.75, p=0.002). Moreover, linear regression analysis endorsed the HbA1c level as an important predictor of CAD severity, with a beta coefficient (β) of 3.11 and a 95% CI of 1.52-4.60 (p < 0.001). Conclusion This study demonstrates a significant association between HbA1c levels and CAD severity in type 2 diabetic patients with MI. Elevated HbA1c levels are strongly linked to increased CAD severity, highlighting the importance of tight glycemic control in managing CAD in diabetic patients. This study suggests that HbA1c levels can serve as a preliminary marker for early detection of high-risk acute CAD patients, enabling prompt interventions and enhanced clinical outcomes.

Relationship between elevated serum direct bilirubin and atrial fibrillation risk among patients with coronary artery disease

Background

Observational studies have shown that the direct bilirubin (DBIL) is correlated with metabolic syndrome and cardiovascular disease. However, it remains unclear whether DBIL is associated with atrial fibrillation (AF) risk in the patients with coronary artery disease (CAD). This study aimed to investigate the association between serum DBIL levels and AF in CAD patients.

Methods

A total of 937 patients diagnosed with CAD were retrospectively included. Serum total bilirubin (TBIL), DBIL, lipid profiles, and other data were collected and analyzed between the AF and non-AF groups. The characteristics of participants were compared based on their DBIL tertiles. Univariate and multivariate logistic regression models, as well as restricted cubic spline (RCS) regression, were used to explore the relationship between DBIL and AF.

Results

AF was observed in 72 (7.7%) patients. There was a significant higher level of DBIL in the AF patients compared to non-AF patients (p < 0.001). Individuals from the DBIL T3 group, when compared to those from the T1 or T2 groups, were more likely to have a higher proportion of AF and lower levels of total cholesterol (TC), triglycerides (TG), low-density lipoprotein cholesterol (LDL-C), apolipoprotein B (Apo B) and triglyceride-glucose (TyG) (all p < 0.001). Univariate logistic regression showed that the OR for AF in patients in T3 was 2.796 (95% CI, 1.528-5.116, p = 0.001) compared with participants in T1. The result remained consistent in the multivariate logistic regression (T3 versus 1: adjusted OR: 2.239). The RCS curve demonstrated a significant nonlinear association between DBIL and AF. Subgroup analysis revealed that this association was significant among patients aged ≥65 years old, with body mass index (BMI) < 25, and with diabetes mellitus (DM).

Conclusion

The study suggested a robust relationship between higher levels of DBIL and an increased risk of AF in CAD patients. The association of elevated DBIL with the incidence of AF was higher in CAD patients older than 65 years, with a BMI < 25, and those with DM.

Efficacy and Safety of Stellate Ganglion Block for Treating Angina Pectoris: A Systematic Review and Meta-Analysis

Purpose: This systematic review and meta-analysis of randomized controlled trials (RCTs) is aimed at assessing the clinical efficacy and safety of stellate ganglion block (SGB) for angina pectoris (AP). Methods: PubMed, Embase, Cochrane Library, Web of Science, Chinese National Knowledge Infrastructure, China Science and Technology Journal Database, and Wanfang databases were comprehensively searched for RCTs investigating SGB treatment for AP. The retrieval time was from the establishment date of each database to October 10, 2024. The Cochrane risk of bias assessment tool was used to determine the methodological quality. Review Manager 5.4 software was employed for data analysis, and GRADEpro GDT software was utilized to evaluate the quality of evidence. Results: Ultimately, six RCTs were included, encompassing 373 patients with angina. The overall methodological quality of the included studies was moderate, with the evaluation of evidence quality showing 12 low-quality and five extremely low-quality studies. The meta-analysis results demonstrated that compared with the control group, the experimental group had lower frequency and duration of AP, visual analog scale score, heart rate, detection rate of S-T segment elevation ≥ 0.1 mV on electrocardiogram (ECG) after 24 h of treatment, detection rate of abnormal T waves on ECG after 24 h of treatment, and S-T segment displacement on ECG after treatment. Furthermore, the experimental group exhibited lower serum Cardiac Troponin I levels, a decreased incidence of acute myocardial infarction (AMI) and rehospitalization, and improved clinical efficacy. However, none of the included studies reported SGB-related adverse events. Conclusion: SGB is effective in alleviating myocardial injury and reducing the incidence of AMI and rehospitalization in patients with AP. Nevertheless, the limited number and relatively low quality of included studies emphasize the requirement for more high-quality research to verify these conclusions.

The predictive value of CRP/albumin ratio (CAR) in the diagnosis of ischemia in myocardial perfusion scintigraphy

INTRODUCTION AND OBJECTIVES

Ischemic heart disease (IHD) is the leading cause of mortality worldwide, and finding cheap and accurate screening tests is crucial. This study aimed to evaluate the predictive value of C-reactive protein (CRP)/albumin ratio (CAR) in the diagnosis of IHD using myocardial perfusion imaging (MPI).

METHODS

In this cross-sectional study, a total of 112 patients were investigated to find any relationship between CAR and myocardial ischemia by using myocardial perfusion scintigraphy. Data were analyzed using SPSS, with a P-value below 0.05 considered statistically significant.

RESULTS

Eighty-eight patients had normal MPI. Twenty-two patients had some degree of myocardial ischemia in MPI. The normal MPI and pathological MPI groups were similar in terms of sex, weight, smoking, family history of IHD, albumin levels, diabetes mellitus status, hyperlipidemia, and chest pain type. The CRP, and CAR means in the patients with myocardial ischemia were significantly higher than those with normal MPI.

CONCLUSION

Although the value of CAR was significantly higher in patients with myocardial ischemia compared to subjects with normal MPI and it was an independent predictor of IHD, the capability of CAR in diagnosing myocardial ischemia was not very strong with a sensitivity and specificity of about 60%.

Trends and Outcomes of Lower Limb Amputation in Patients With Coronary Artery Disease

Background and aim Coronary artery disease (CAD) is a leading cause of morbidity and mortality in the United States, with peripheral arterial disease (PAD) and lower limb (LL) amputation contributing to poor cardiovascular outcomes. While previous studies have identified the link between CAD and PAD-related amputations, data on short-term in-hospital outcomes remain limited. This study aimed to compare in-hospital mortality and complications between CAD patients undergoing LL amputation and those without it. Methods We conducted a retrospective cohort study using the Nationwide Inpatient Sample (NIS) from 2016 to 2021, identifying CAD patients with and without LL amputation via International Classification of Diseases, 10th Revision (ICD-10) codes. Propensity score matching (PSM) was performed using a 1:1 nearest-neighbor algorithm to minimize selection bias, adjusting for demographics, comorbidities, and hospital characteristics. The primary outcome was in-hospital all-cause mortality, while secondary outcomes included acute heart failure, cardiogenic shock, acute kidney injury (AKI), major adverse cardiac and cerebrovascular events (MACCE), and healthcare resource utilization. Results A total of 31,379,939 CAD patients were identified, with 119,320 (0.4%) undergoing LL amputation. After propensity score matching (PSM), 23,261 patients were included in each group. The LL amputation cohort exhibited significantly higher in-hospital mortality (5.5% vs. 3.3%, p<0.001), cardiac arrest (2.3% vs. 1.4%, p<0.001), acute kidney injury (AKI) (29.3% vs. 26.8%, p<0.001), and acute limb ischemia (5.2% vs. 0.4%, p<0.001). Conversely, CAD patients without amputation had higher rates of acute heart failure (18.3% vs. 10.7%, p<0.001), major adverse cardiac and cerebrovascular events (MACCE) (22.5% vs. 12.2%, p<0.001), and percutaneous coronary intervention (6.7% vs. 0.9%, p<0.001). The length of stay and total hospital charges were significantly higher in the amputation group (10 days vs. four days; $26,590 vs. $11,686, p<0.001). Conclusion Lower limb amputation in CAD patients is associated with increased in-hospital mortality, cardiac complications, and healthcare resource utilization. These findings underscore the need for early intervention strategies targeting PAD progression and comprehensive perioperative cardiovascular risk management in amputees. Future research should focus on optimizing revascularization approaches, rehabilitation programs, and tailored preventive measures to improve outcomes in this high-risk population.

Palmitoleic and oleic fatty acids as biomarkers for coronary heart disease: A predictive model

BACKGROUND

saturated and unsaturated fatty acid showed a significant link with coronary artery health and disease.

OBJECTIVE

This study aimed to compare plasma levels of unsaturated fatty acids (UFAs) between individuals with coronary heart disease (CHD) and those without. It also investigated the association between specific UFA ratios and the presence or severity of acute coronary syndrome (ACS). Additionally, the study explored the potential of UFAs as biomarkers for assessing CHD risk or disease severity.

METHOD

Patients suspected of coronary heart disease (CHD) at Northern Jiangsu People's Hospital were categorized by coronary angiography into non-CHD (53 cases) and CHD (182 cases). The CHD group was divided into non-acute coronary syndrome (non-ACS) (40 cases) and ACS (142 cases) subgroups. The ACS group was further classified into unstable angina (61 cases), non-ST-elevation myocardial infarction (NSTEMI) (40 cases), and ST-elevation myocardial infarction (STEMI) (41 cases). Lipid profiles, myocardial injury markers, and fourteen unsaturated fatty acids were analyzed using liquid chromatography-mass spectrometry/mass spectrometry (LC-MS/MS).

RESULTS

The CHD group had significantly higher triglycerides (TG), palmitoleic acid (PA), oleic acid (OA), docosahexaenoic acid (DHA), ω-6 fatty acids, and a higher ω-6/ω-3 ratio, but lower ω-3 fatty acids compared to non-CHD. In ACS, PA, LA, OA, and the ω-6/ω-3 ratio were elevated, while EPA and HDL were reduced. Logistic regression identified TG, ω-6/ω-3 ratio, PA, OA, and ω-6 fatty acids as risk factors, with ω-3 fatty acids being protective. PA was protective, while OA posed risk. A combined PA and OA model had a diagnostic efficacy (AUC 0.746).

CONCLUSION

Altered fatty acid metabolism in CHD patients, particularly PA and OA, offers potential as biomarkers. The ω-6/ω-3 ratio is crucial for cardiovascular health.

Construction and evaluation of a triage assessment model for patients with acute non-traumatic chest pain: mixed retrospective and prospective observational study

BACKGROUND

Acute non-traumatic chest pain is one of the common complaints in the emergency department and is closely associated with fatal disease. Triage assessment urgently requires the use of simple, rapid tools to screen patients with chest pain for high-risk condition to improve patient outcomes.

METHODS

After data preprocessing and feature selection, univariate and multiple logistic regression analyses were performed to identify potential predictors associated with acute non-traumatic chest pain. A nomogram was built based on the predictors, and an internal evaluation was performed using bootstrap resampling methods. The model was also externally validated in this center. Furthermore, the model results were risk-stratified using the decision tree analysis to explore the corresponding triage level. Subsequently, we developed an online visualization tool based on the model to assess the risk of high risk in patients with chest pain.

RESULTS

Multiple logistic regression analysis showed that age, smoking, coronary heart disease, hypertension, diabetes, hyperlipidemia, pain site, concomitant symptoms, and electrocardiograph, all of which are independent predictors of high-risk chest pain patients. The AUC of our model in the development and validation groups was 0.919 (95%CI: 0.891 ~ 0.974) and 0.904 (95%CI: 0.855 ~ 0.952). Moreover, our model demonstrated better outcomes in terms of accuracy/sensitivity in both cohorts (81.9%/85.2% and 94.8%/78.5%). The calibration curve shows a high degree of agreement between the predicted and actual probabilities. Decision curve analysis clarified that our model had higher net gains across the entire range of clinical thresholds. Afterward, we developed an online tool, which is used in the triage link to facilitate nurses to screen people with high-risk chest pain.

CONCLUSION

We proposed an accurate model to predict the high-risk populations with chest pain, based on which a simple and rapid online tool was developed and provided substantial support for its application as a decision-making tool for the emergency department.

REGISTRATION

The study protocol was approved by the Ethics Committee Board of Fujian Provincial Hospital.

CLINICAL TRIAL REGISTRATION NUMBER

ChiCTR2200061918.

Impact of Elevated Lipoprotein A on Major Adverse Cardiovascular Events and the Role of Traditional Risk Factors in Patients Undergoing Percutaneous Coronary Intervention

BACKGROUND

Elevated lipoprotein(a) (Lp(a)) is a recognized independent risk factor for adverse cardiovascular outcomes, particularly in patients undergoing percutaneous coronary intervention (PCI).

OBJECTIVE

This study aims to evaluate the impact of elevated Lp(a) on major adverse cardiovascular events (MACE) in patients undergoing PCI and investigate the interplay and independent contributions of Lp(a) and traditional cardiovascular risk factors.

MATERIALS AND METHODS

A prospective cohort study was conducted over two years, including 360 patients undergoing PCI. Participants were divided into high and normal groups according to their baseline Lp(a) levels. To record MACE, which includes myocardial infarction, stroke, repeat revascularization, and cardiovascular mortality, clinical, demographic, and laboratory data were gathered, and patients were monitored for 24 months. The association between Lp(a) levels, MACE, and conventional risk variables was examined using Cox proportional hazards models.

RESULTS

Those with normal Lp(a) (18.69 ± 5.39 mg/dL) had substantially lower rates of MACE, such as myocardial infarction (HR = 1.89, p = 0.002), stroke (HR = 1.48, p = 0.039), and cardiovascular mortality (HR = 2.23, p = 0.001), than those with raised Lp(a) (79.31 ± 35.13 mg/dL). The raised group had a considerably reduced event-free survival rate (74.13% vs. 91.76%, p < 0.001). The raised group was more likely to have traditional risk factors, including diabetes and hypertension, which increased the negative consequences.

CONCLUSION

Elevated Lp(a) significantly increases the risk of MACE in PCI patients, and this risk is further modulated by the presence of traditional cardiovascular risk factors, emphasizing the need for comprehensive risk stratification.

Impact of Diabetes Mellitus on Coronary Artery Disease Severity: A Comparative Analysis of Diabetic and Non-diabetic Patients

Background One of the main risk factors for coronary artery disease (CAD), which is a significant source of morbidity and death, is diabetes mellitus (DM), which also speeds up the disease's course and severity. This study aimed to compare the severity of CAD between diabetic and non-diabetic patients, providing insights to guide clinical decision-making and improve therapeutic outcomes. Methodology A prospective, observational study was conducted at the Sheikh Mohamed Bin Zayed Al Nahyan Institute of Cardiology, Quetta, from August 2018 to July 2019, involving 204 adult patients with CAD, consisting of 102 patients with diabetes and 102 without diabetes. Demographic, clinical, and laboratory data were collected, and coronary angiography was performed to assess the severity of CAD, which was defined as a binary outcome variable (1 = severe CAD, 0 = not severe CAD), based on criteria such as multi-vessel involvement and degree of stenosis. Statistical analysis was carried out using IBM SPSS Statistics for Windows, V. 25.0 (IBM Corp., Armonk, NY, USA), with chi-squared tests used for categorical variables (e.g., number of affected vessels, plaque distribution) and independent t-tests for continuous variables (e.g., fasting blood glucose, hemoglobin A1c(HbA1c) levels, lipid profiles). Logistic regression was employed to identify independent predictors of CAD severity, and odds ratios (ORs) with 95% confidence intervals (CI) were calculated, with statistical significance defined as a p-value of less than 0.05. Results Diabetic patients exhibited significantly higher rates of multi-vessel disease (70 (68.63%) vs. 52 (50.98%); p = 0.02), three-vessel involvement (37 (36.27%) vs. 25 (24.51%); p = 0.01), and severe stenosis (64 (62.75%) vs. 52 (50.98%); p = 0.019) compared to non-diabetic patients. Fasting blood glucose (158.21 ± 45.63 mg/dL vs. 98.31 ± 12.74 mg/dL; p < 0.001) and HbA1c (8.21 ± 1.34% vs. 5.62 ± 0.41%; p < 0.001) levels were significantly higher in diabetics. Multivariate regression analysis revealed that diabetes (OR = 2.12; 95% CI: 1.35-3.32; p = 0.001), hypertension (OR = 1.45; 95% CI: 1.01-2.08; p = 0.04), elevated glucose levels (fasting blood glucose OR = 1.04; 95% CI: 1.02-1.06; p < 0.001; HbA1c OR = 1.27; 95% CI: 1.15-1.41; p < 0.001), and age (OR = 1.03; 95% CI: 1.01-1.05; p = 0.02) were significant predictors of CAD severity, with each increase in fasting blood glucose, HbA1c, and age associated with higher odds of severe CAD. Other variables, such as gender, hyperlipidemia, smoking history, sedentary lifestyle, and regular exercise, did not show significant associations with CAD severity (p > 0.05). However, a family history of CAD was identified as a significant predictor (OR = 1.56; 95% CI: 1.06-2.31; p = 0.02), suggesting that those with a family history of CAD had 56% higher odds of experiencing severe CAD. Systolic blood pressure (OR = 1.18; 95% CI: 1.07-1.30; p = 0.002) was associated with CAD severity, with each 10 mmHg increase in systolic blood pressure increasing the odds of severe CAD.  Conclusion DM is linked to more severe CAD, with high blood pressure, HbA1c, and blood glucose levels contributing to increased severity, emphasizing the need for early detection and aggressive treatment to mitigate its impact on heart health, and further research, including long-term follow-up and therapeutic interventions, is needed to enhance management for diabetic CAD patients.

Minimally Invasive Versus Invasive Proteomics: Urine and Blood Biomarkers in Coronary Artery Disease

Coronary artery disease (CAD) is a major cause of morbidity and mortality worldwide. This underlines the urgent need for effective biomarkers for early diagnosis, risk stratification, and therapeutic counseling. Proteomic signatures from plasma and urine have emerged as promising tools for these efforts, each offering unique advantages and challenges. This review provides a detailed comparison of urine and blood proteomic analyzes in the context of CAD and explores their respective advantages and limitations. Urine proteomics offers a minimally invasive, easily repeatable, and temporally stable sampling method, but faces challenges such as lower protein concentrations and potential contamination. Despite its invasive nature, blood proteomics captures high protein concentration and directly reflects systemic physiological changes, making it valuable for acute assessments. Advances in artificial intelligence (AI) have significantly improved the analysis and interpretation of proteomic data, enabling greater accuracy in diagnosis and predictive modeling. AI algorithms, particularly in pattern recognition and data integration, are helping to uncover subtle relationships between biomarkers and disease progression and supporting the discovery of plasma- and urine-based CAD biomarkers. This review demonstrates the potential of combining urine and blood proteomic data using AI to advance personalized approaches in CAD diagnosis and treatment. Future research should focus on standardization of collection protocols, validation of biomarkers in different populations, and the complexity of integrating data from different sources to maximize the potential of proteomics in the treatment of CAD.

The role of splicing events in the inflammatory response of atherosclerosis: molecular mechanisms and modulation

Atherosclerosis is a chronic inflammatory disease characterized by persistent inflammatory responses throughout all stages of its progression. Modulating these inflammatory responses is a promising avenue for the development of cardiovascular disease therapies. Splicing events modulate gene expression and diversify protein functionality, exerting pivotal roles in the inflammatory mechanisms underlying atherosclerosis. These insights may provide novel opportunities for developing anti-inflammatory therapies for this disease. This article systematically discusses the diverse splice variants and how splicing events impact the inflammatory response in atherosclerosis via endothelial cells, macrophages, and vascular smooth muscle cells, highlighting their underlying molecular mechanisms and implications. Furthermore, this study summarizes clinical evidence supporting splicing-related molecules as diagnostic biomarkers and therapeutic targets in atherosclerosis. Lastly, we outline the current challenges and future research directions concerning splicing events and inflammatory responses in atherosclerosis. This offers a novel perspective and evidence for formulating new therapeutic strategies aimed at lowering the risk of atherosclerosis.

Bawei Chenxiang Powder Protects Cardiomyocytes From Myocardial Ischemia/Reperfusion Injury via the PI3K-AKT Pathway

Ischemia-reperfusion damage to cardiomyocytes is one of the main directions of cardiovascular disease research, and Bawei Chenxiang powder (BWCX) is a traditional ethnomedicinal compound preparation mainly used in the treatment of cardiovascular diseases. On the basis of serum pharmacology, the present study aimed to explore the potential mechanism of BWCX against myocardial ischemia-reperfusion damage to cardiomyocytes. We prepared BWCX-serum containing. Using serum pharmacology and bioinformatics approaches, we explored its protective effects on H9C2 cells in a hypoxia/reoxygenation (H/R) model. Additionally, we investigated the underlying mechanisms. BWCX-containing serum can increase the survival rate of H9C2 cells and reduce oxidative stress levels in an H/R model. Specifically, it decreases the release of malondialdehyde (MDA), lactate dehydrogenase (LDH), creatine kinase (CK), and reactive oxygen species (ROS), while increasing the levels of catalase (CAT), superoxide dismutase (SOD), glutathione peroxidase (GSH-PX), and Complex I. Additionally, it downregulates the expression of NADH dehydrogenase (ubiquinone) 1 alpha sub-Complex 10 (NDUFA-10), thioredoxin (Trx), heme oxygenase 1 (HO-1), and kelch-like ECH-associated protein 1 (Keap1), and it upregulates the expression of nuclear factor erythroid 2-related factor 2 (Nrf2). These effects are potentially mediated through the PI3K-AKT pathway. In the present study, we found that BWCX powder exhibited significant ameliorative and reparative effects on H/R-induced cardiomyocyte injury by alleviating the level of oxidative stress during H/R and acting on the PI3K-AKT pathway.

Acetylation-Mediated Post-Translational Modification of Pyruvate Dehydrogenase Plays a Critical Role in the Regulation of the Cellular Acetylome During Metabolic Stress

Background: Cardiac diseases remain one of the leading causes of death globally, often linked to ischemic conditions that can affect cellular homeostasis and metabolism, which can lead to the development of cardiovascular dysfunction. Considering the effect of ischemic cardiomyopathy on the global population, it is vital to understand the impact of ischemia on cardiac cells and how ischemic conditions change different cellular functions through post-translational modification of cellular proteins. Methods: To understand the cellular function and fine-tuning during stress, we established an ischemia model using neonatal rat ventricular cardiomyocytes. Further, the level of cellular acetylation was determined by Western blotting and affinity chromatography coupled with liquid chromatography-mass spectroscopy. Results: Our study found that the level of cellular acetylation significantly reduced during ischemic conditions compared to normoxic conditions. Further, in mass spectroscopy data, 179 acetylation sites were identified in the proteins in ischemic cardiomyocytes. Among them, acetylation at 121 proteins was downregulated, and 26 proteins were upregulated compared to the control groups. Differentially, acetylated proteins are mainly involved in cellular metabolism, sarcomere structure, and motor activity. Additionally, a protein enrichment study identified that the ischemic condition impacted two major biological pathways: the acetyl-CoA biosynthesis process from pyruvate and the tricarboxylic acid cycle by deacetylation of the associated proteins. Moreover, most differential acetylation was found in the protein pyruvate dehydrogenase complex. Conclusions: Understanding the differential acetylation of cellular protein during ischemia may help to protect against the harmful effect of ischemia on cellular metabolism and cytoskeleton organization. Additionally, our study can help to understand the fine-tuning of proteins at different sites during ischemia.

Multi-Omics Research on Angina Pectoris: A Novel Perspective

Angina pectoris (AP), a clinical syndrome characterized by paroxysmal chest pain, is caused by insufficient blood supply to the coronary arteries and sudden temporary myocardial ischemia and hypoxia. Long-term AP typically induces other cardiovascular events, including myocardial infarction and heart failure, posing a serious threat to patient safety. However, AP's complex pathological mechanisms and developmental processes introduce significant challenges in the rapid diagnosis and accurate treatment of its different subtypes, including stable angina pectoris (SAP), unstable angina pectoris (UAP), and variant angina pectoris (VAP). Omics research has contributed significantly to revealing the pathological mechanisms of various diseases with the rapid development of high-throughput sequencing approaches. The application of multi-omics approaches effectively interprets systematic information on diseases from the perspective of genes, RNAs, proteins, and metabolites. Integrating multi-omics research introduces novel avenues for identifying biomarkers to distinguish different AP subtypes. This study reviewed articles related to multi-omics and AP to elaborate on the research progress in multi-omics approaches (including genomics, transcriptomics, proteomics, and metabolomics), summarized their applications in screening biomarkers employed to discriminate multiple AP subtypes, and delineated integration methods for multi-omics approaches. Finally, we discussed the advantages and disadvantages of applying a single-omics approach in distinguishing diverse AP subtypes. Our review demonstrated that the integration of multi-omics technologies is preferable for quick and precise diagnosis of the three AP types, namely SAP, UAP, and VAP.

Comprehensive Analysis of Cardiovascular Diseases: Symptoms, Diagnosis, and AI Innovations

Cardiovascular diseases are some of the underlying reasons contributing to the relentless rise in mortality rates across the globe. In this regard, there is a genuine need to integrate advanced technologies into the medical realm to detect such diseases accurately. Moreover, numerous academic studies have been published using AI-based methodologies because of their enhanced accuracy in detecting heart conditions. This research extensively delineates the different heart conditions, e.g., coronary artery disease, arrhythmia, atherosclerosis, mitral valve prolapse/mitral regurgitation, and myocardial infarction, and their underlying reasons and symptoms and subsequently introduces AI-based detection methodologies for precisely classifying such diseases. The review shows that the incorporation of artificial intelligence in detecting heart diseases exhibits enhanced accuracies along with a plethora of other benefits, like improved diagnostic accuracy, early detection and prevention, reduction in diagnostic errors, faster diagnosis, personalized treatment schedules, optimized monitoring and predictive analysis, improved efficiency, and scalability. Furthermore, the review also indicates the conspicuous disparities between the results generated by previous algorithms and the latest ones, paving the way for medical researchers to ascertain the accuracy of these results through comparative analysis with the practical conditions of patients. In conclusion, AI in heart disease detection holds paramount significance and transformative potential to greatly enhance patient outcomes, mitigate healthcare expenditure, and amplify the speed of diagnosis.

Clinical Significance of MicroRNA-299-3p in Coronary Artery Disease Based on Bioinformatics Analysis

The purpose of the research was to evaluate the diagnostic performance of microRNA-299-3p (miR-299-3p) in patients with coronary artery disease (CAD). The relative abundance of miR-299-3p in patients with CAD was verified by quantitative real time polymerase chain reaction (qRT-PCR) assay. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) were used for analysis, and target genes were predicted and enriched by DAVID software. The protein-protein interaction (PPI) network was drawn by STRING database. Receiver operating characteristic (ROC) was adopted to appraise the diagnostic value of miR-299-3p in CAD. Bioinformatics analysis showed that the GO function of miR-299-3p target genes of miR-299-3p mainly focuses on specific granular membrane, regulation of apoptotic signaling pathway, growth factor binding and so on. KEGG analysis showed that the most abundant pathways involve fluid shear stress and atherosclerosis, as well as Notch signaling pathways. PPI network showed the seven predictive genes encoding the proteins play pivotal roles in maintaining the stability and interaction of the network, especially matrix metallopeptidase 2 (MMP2) and intercellular cell adhesion molecule-1 (ICAM1). Compared with the control group, serum miR-299-3p in the CAD group was distinctly up-regulated via qRT-PCR (p < 0.001). ROC analysis showed that miR-299-3p was an important index for detecting CAD patients and major adverse cardiovascular events (MACE) patients with an AUC of 0.931 and 0.758, respectively. MiR-299-3p is involved in the development of CAD, and might become a potential biomarker for monitoring CAD.

Circulating circ_0069094 is Correlated with the Present and Endothelial Injury of Acute Coronary Syndrome

To investigate the impacts of circ_0069094 on acute coronary syndrome. Real-time polymerase chain reaction was used to detect the expression levels of circ_0069094, and its diagnostic performance was evaluated using ROC curve. Spearman's method was performed for correlation analysis. The levels of SOD, MDA, vWF in ACS rat models were assessed by commercial kits. The activities of H/R cell models were detected by CCK-8, Transwell, flow cytometry. The GO and KEGG were performed to analyze the function of targeted genes of miR-484. The concentration of circ_0069094 was decreased in patients with ACS, ACS rat models and H/R HUVEC models. The dysfunction of SOD, MDA, vWF, LVIDs, LVDD, and LVEF in the ACS models was regulated by the increase of circ_0069094. The viability, migration, apoptosis of the H/R models were regulated by circ_0069094. MiR-484 was a ceRNA of circ_0069094 and mediated the function of circ_0069094.

Enhanced Hypercoagulability Using Clot Waveform Analysis in Patients with Acute Myocardial Infarction and Acute Cerebral Infarction

Background: Routine activated partial thromboplastin time (APTT) and prothrombin time (PT) measurements do not indicate hypercoagulability in patients with acute myocardial infarction (AMI) and acute cerebral infarction (ACI). Methods: Hypercoagulability in patients with AMI or ACI was evaluated using a clot waveform analysis of the APTT or a small amount of tissue factor activation assay (sTF/FIXa). In the CWA, the derivative peak time (DPT), height (DPH), width (DPW), and area the under the curve (AUC) were evaluated. Results: The APTT did not indicate hypercoagulability, but the second DPT of CWA-sTF/FIXa was significantly shorter in patients with ACI than in healthy volunteers (HVs). The first DPH values of CWA-APTT and CWA-sTF/FIXa in patients with ACI and AMI were significantly higher than in HVs. In the receiver operating characteristic (ROC) analyses of ACI or AMI vs. non-thrombosis, the AUC was >0.800 in the DPHs of CWA-APTT and CWA-sTF/FIXa. The AUC of CWA-APTT and CWA-sTF/FIXa in patients with AMI and ACI was significantly higher than in HVs. The AUC/second DPT of CWA-APTT and CWA-sTF/FIXa in patients with AMI and ACI was significantly higher than in HVs. Regarding the ROC analyses of ACI or AMI vs. HVs, the AUC of ROC was higher than 0.800 in the AUC and AUC/second DPT of CWA-APTT and CWA-sTF/FIXa. Conclusions: The AUC/second DPT of CWA-APTT and CWA-sTF/FIXa may be a useful parameter for detecting a hypercoagulable state in patients with AMI and ACI.

Correlation between remnant cholesterol and premature coronary artery disease and the severity of coronary artery lesions in men: a retrospective study

Objective

To investigate the correlation between remnant cholesterol (RC) and premature coronary artery disease (PCAD) and the severity of coronary artery lesions in men.

Methods

A total of 630 male subjects who underwent coronary angiography were included in the study. The general data, laboratory tests, and coronary angiography data of each group were statistically analyzed, and RC levels were calculated. According to the Gensini score, PCAD was divided into mild and severe lesion groups. The relationship between RC and PCAD and coronary artery lesions was analyzed using multivariate logistic regression and spearman correlation analysis, and the predictive value of RC for coronary artery lesions was evaluated using receiver operating characteristic (ROC) curves.

Results

The RC levels in the PCAD group were significantly higher than those in the non-PCAD group (p < 0.05), and RC was an independent risk factor for PCAD (p < 0.05).The RC levels in the severe lesion group were higher than those in the mild lesion group (p < 0.05), and RC levels were positively correlated with the Gensini score (r = 0.335, p < 0.001).Multivariate logistic regression analysis showed that RC was an independent risk factor for severe coronary artery lesions (p < 0.05).The ROC curve calculated the value of RC in predicting severe coronary artery lesions, with an area under the curve of 0.693, a cutoff value of 0.485 mmol/L, a sensitivity of 64.7%, and a specificity of 66.2%.

Conclusion

RC is an independent risk factor for PCAD and the severity of coronary artery lesions in adult men. RC levels are positively correlated with the severity of coronary artery lesions and can be used as an auxiliary indicator for clinical assessment of PCAD.

Screening for severe coronary stenosis in patients with apparently normal electrocardiograms based on deep learning

BACKGROUND

Patients with severe coronary arterystenosis may present with apparently normal electrocardiograms (ECGs), making it difficult to detect adverse health conditions during routine screenings or physical examinations. Consequently, these patients might miss the optimal window for treatment.

METHODS

We aimed to develop an effective model to distinguish severe coronary stenosis from no or mild coronary stenosis in patients with apparently normal ECGs. A total of 392 patients, including 138 with severe stenosis, were selected for the study. Deep learning (DL) models were trained from scratch and using pre-trained parameters via transfer learning. These models were evaluated based on ECG data alone and in combination with clinical information, including age, sex, hypertension, diabetes, dyslipidemia and smoking status.

RESULTS

We found that DL models trained from scratch using ECG data alone achieved a specificity of 74.6% but exhibited low sensitivity (54.5%), comparable to the performance of logistic regression using clinical data. Adding clinical information to the ECG DL model trained from scratch improved sensitivity (90.9%) but reduced specificity (42.3%). The best performance was achieved by combining clinical information with the ECG transfer learning model, resulting in an area under the receiver operating characteristic curve (AUC) of 0.847, with 84.8% sensitivity and 70.4% specificity.

CONCLUSIONS

The findings demonstrate the effectiveness of DL models in identifying severe coronary stenosis in patients with apparently normal ECGs and validate an efficient approach utilizing existing ECG models. By employing transfer learning techniques, we can extract "deep features" that summarize the inherent information of ECGs with relatively low computational expense.

CYP2C19 Loss-of-Function is an Associated Risk Factor for Premature Coronary Artery Disease: A Case-Control Study

Objective

Cytochrome P450 2C19 (CYP2C19) is a major enzyme involved in the biotransformation and metabolism of various substances. Loss-of-function of the CYP2C19 gene represents downregulation of CYP2C19 enzyme indication limited or no enzymatic function, which may be, in turn, associated with some disease susceptibility. The relationship between CYP2C19 polymorphisms and susceptibility to premature coronary artery disease (PCAD) is not fully understood. This study aimed to assess this relationship.

Methods

This study included 635 PCAD patients, and 548 age-matched non-CAD individuals as controls, from November 2019 to August 2023. The CYP2C19 rs4244285 (681G > A, *2) and rs4986893 (636G > A, *3) were genotyped, and the distribution of CYP2C19 polymorphisms between patients and controls and the relationship between CYP2C19 polymorphisms and PCAD risk were analyzed.

Results

A total of 442 (37.4%), 543 (45.9%), and 198 (16.7%) individuals had CYP2C19 extensive metabolizer (EM) (*1/*1), intermediate metabolizer (IM) (*1/*2 and *1/*3), and poor metabolizer (PM) (*2/*2, *2/*3, and *3/*3) phenotypes, respectively. CYP2C19 *2/*2 genotype frequency was higher, *1/*1 genotype was lower in PCAD patients than controls. Individuals with CYP2C19 PM phenotype had higher triglyceride (TG) levels than those with CYP2C19 EM or IM phenotypes. Logistic regression analysis showed that body mass index (BMI) ≥24.0 kg/m2 (≥24.0 kg/m2 vs 18.5-23.9 kg/m2, odds ratio (OR): 1.326, 95% confidence interval (CI): 1.041-1.688, p = 0.022), smoking (OR: 1.974, 95% CI: 1.283-3.306, p = 0.002), hypertension (OR: 1.327, 95% CI: 1.044-1.687, p = 0.021), diabetes mellitus (OR: 1.390, 95% CI: 1.054-1.834, p = 0.020), CYP2C19 PM phenotype (PM phenotype vs EM phenotype, OR: 1.701, 95% CI: 1.200-2.411, p = 0.003), and CYP2C19 IM+PM phenotypes (IM+PM vs EM phenotype, OR: 1.369, 95% CI: 1.077-1.740, p = 0.010) were associated with PCAD.

Conclusion

CYP2C19 PM or IM+PM phenotypes, overweight, smoking, hypertension, and diabetes mellitus were associated with PCAD.

Molecular Docking, Quantum Mechanics and Molecular Dynamics Simulation of Anti-CAD Drugs Against High-Risk Xanthine Dehydrogenase Variants Associated with Oxidative Stress Pathways

Xanthine dehydrogenase (XDH) contributes significantly to generating reactive oxygen species in coronary artery disease (CAD). XDH has been proposed as a therapeutic target, but its genetic variants could affect protein structure and drug response. We aimed to assess protein structure modification occur due to genetic variants and to screen 215 CAD drugs for their utility in personalized CAD treatment against the XDH variants. A series of computational methods were implemented to identify pathogenic variants that cause XDH structure instability localized at the con served regions contributing to functional significance. Then, the XDH structures with the pathogenic variants were modeled using two different approaches to select the best models for docking with the CAD drugs. Finally, the stability of the docked complexes and their ability to transfer electrons were evaluated using molecular dynamics (MD) simulations and quantum mechanics/molecular mechanics (QM/MM) calculation. Among 751 variants examined; R149C and Q919R showed high pathogenicity, localized in conserved regions could alter protein structure and function. Further, docking of CAD drugs against XDH (native, R149C and Q919R) showed vericiguat with higher affinity, ranging from −7.95 kcal/mol to −10.41 kcal/mol, than the well-known XDH inhibitor (febuxostat, −5.73 kcal/mol to −8.35 kcal/mol). This indicates that vericiguat will be effective in CAD treatment, regardless of the XDH variants. Additionally, MD simulation and QM/MM confirmed vericiguat stability and electron transfer ability to form hydrogen bonds with the XDH protein. In conclusion, vericiguat will be beneficial for the personalized treatment of CAD by inhibiting XDH variants. Additional clinical studies are necessary to confirm our findings.

Efficacy and safety of guanxinshutong capsule combined with western medicine on stable angina pectoris: a systematic review and meta-analysis

Aims: To systematically evaluate the efficacy and safety of the Guanxinshutong capsule (GXST) combined with Western medicine (WM) in treating stable angina pectoris (SAP). Methods: Randomized controlled trials (RCTs) evaluating the efficacy of GXST combined with WM for the treatment of patients with SAP were searched across several databases, including the Cochrane Library, PubMed, Embase, the Chinese National Knowledge Infrastructure (CNKI), the Chinese Science and Technology Journal Database (VIP), and Wan Fang, from inception until 30 April 2024. Two independent reviewers rigorously performed study selection, data extraction, and quality assessment. Version 2 of the Cochrane risk-of-bias tool for randomized trials (RoB 2) was employed to assess the methodological quality of included RCTs. R version 4.2.2 was applied for data synthesis. Results: Between 2012 and 2024, 31 RCTs involving 4,172 patients were identified, with 2,101 in the experimental group and 2,071 in the control group. GXST and WM combination was significantly more effective than WM alone across several metrics: clinical efficacy rate (odds ratio [OR] = 4.05, 95% confidence interval [CI] = 3.42-4.80), electrocardiogram improvement (OR = 3.39, 95% CI = 2.35-4.87), enhancement in left ventricular ejection fraction (mean difference [MD] = 1.07, 95% CI = 0.69-1.46), reduction in total cholesterol levels (MD = -0.78, 95% CI = -1.20 to -0.35), decrease in tumor necrosis factor-alpha (MD = -1.36, 95% CI = -2.18 to -0.53), and improvement in Chinese medicine evidence score (OR = 3.77, 95% CI = 2.20-6.43). No significant difference was observed in the reduction in C-reactive protein levels (MD = -6.66, 95% CI = -15.91 to 2.59), triglyceride levels (MD = -1.62, 95% CI = -3.39 to 0.15), or in the occurrence of adverse drug reactions (OR = 0.60, 95% CI = 0.23-1.57). Based on meta-regression and subgroup analyses, the observed heterogeneity was attributed to variations in GXST capsule dosage, the duration of treatment, and the baseline characteristics of patients. Conclusion: GXST and WM combination therapy demonstrates the potential to enhance clinical outcomes for SAP patients. Nevertheless, additional rigorous studies are imperative to substantiate the reliability and safety of this combined treatment modality. Systematic Review Registration: The protocols for this meta-analysis were registered in the International Prospective Register of Systematic Reviews (PROSPERO, https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=543537, Identifier CRD42024543537).

CYP2C19 Poor Metabolizer Status and High System Inflammation Response Index are Independent Risk Factors for Premature Myocardial Infarction: A Hospital-Based Retrospective Study

Objective

Atherosclerosis (AS) is a sustained chronic vascular inflammatory response caused by lipid metabolism disorders and immune response disorders and is the main cause of premature (men ≤ 55 years old, women ≤ 65 years old) myocardial infarction (PMI). Cytochrome P450 2C19 (CYP2C19) (related to vascular function and lipid metabolism) and peripheral immune cell levels and plays an important role in the course of AS. The association CYP2C19 polymorphisms, comprehensive immunoinflammatory indices with PMI susceptibility is unclear.

Methods

This study included 485 PMI patients, and 639 age-matched non-PMI individuals as controls, from January 2019 to March 2024. The relationship between CYP2C19 polymorphisms, peripheral immunoinflammatory indices (pan-immune inflammation value (PIV), systemic immune inflammation index (SII), and system inflammation response index (SIRI)) and PMI risk were analyzed.

Results

The inflammatory indices levels in PMI patients were higher than those in controls (all p<0.05). The frequencies of the CYP2C19 *1/*2 and *2/*2 genotypes were higher, while the frequency of the *1/*1 genotype was lower in the PMI patients than those in controls. The cut-off values of TC, TG, LDL-C, PIV, SII, and SIRI were 5.065, 1.305, 2.805, 410.485, 869.645, and 1.495 for distinguishing PMI, respectively. Logistic regression analysis showed that male (odds ratio (OR): 1.607, 95% confidence interval (CI): 1.134-2.277, p=0.008), history of smoking (OR: 7.108, 95% CI: 4.351-11.614, p<0.001), diabetes mellitus (OR: 4.906, 95% CI: 3.333-7.223, p<0.001), CYP2C19 poor metabolizer (PM) (*2/*2, *2/*3, and *3/*3) (OR: 2.147, 95% CI: 1.279-3.603, p=0.004), and high TG (≥1.305 vs <1.305, OR: 2.598, 95% CI: 1.864-3.623, p<0.001) and SIRI level (≥1.495 vs <1.495, OR: 2.495, 95% CI: 1.432-4.349, p=0.001) were independent risk factors for PMI.

Conclusion

CYP2C19 PM phenotype, high SIRI level (≥1.495) and TG level (≥1.305), male, history of smoking, and diabetes mellitus were independently associated with PMI susceptibility.

Exploring causal correlations between inflammatory cytokines and coronary heart disease: A Mendelian randomization study

Coronary heart disease (CHD) is a global health concern, with inflammation significantly contributing to its pathogenesis. It is crucial to understand the relationship between inflammatory cytokines and CHD. This study investigates the causal correlations between circulating inflammatory cytokines and CHD using Mendelian randomization (MR), assessing both causative and resultant roles of these cytokines in CHD. In this bidirectional MR analysis, we used genetic data from a genome-wide association study (GWAS) of 60,801 CHD cases and 123,504 controls of European ancestry. We derived inflammatory cytokine data from a GWAS summary of 14,824 participants. The primary analytical approach was the inverse variance-weighted (IVW) method, supported by MR-Egger, weighted median, and weighted mode analyses. Heterogeneity was assessed using the Cochrane Q test, and horizontal pleiotropy was evaluated through the MR-Egger intercept and the MR-PRESSO global test, ensuring robustness against potential pleiotropic bias. This study pinpointed several cytokines as key upstream influencers on the risk of CHD, including eotaxin (CCL11) (odds ratio [OR]: 1.10, 95% confidence interval [CI]: 1.03-1.18, P = .003), C-C motif chemokine ligand 20 (CCL20) (OR: 1.15, 95% CI: 1.05-1.25, P = .002), macrophage colony-stimulating factor 1 (CSF1) (OR: 1.09, 95% CI: 1.01-1.17, P = .020), Fibroblast growth factor 21 (FGF21) (OR: 1.14, 95% CI: 1.01-1.29, P = .038), Fms-related tyrosine kinase 3 ligand (FLT3LG) (OR: 1.26, 95% CI: 1.09-1.44, P = .001), neurotrophin-3 (NT-3) (OR: 1.12, 95% CI: 1.01-1.24, P = .026), and leukemia inhibitory factor (LIF) (OR: 0.89, 95% CI: 0.80-0.99, P = .029). Conversely, T-cell surface glycoprotein CD5 (CD5) (beta: -0.15, 95% CI: -0.29 to -0.01, P = .042) were identified as downstream factors impacted by CHD. No evidence of heterogeneity or horizontal pleiotropy was detected across all results, and a leave-one-out analysis substantiated the robustness of these findings. These findings suggest that CCL11, CCL20, CSF1, FGF21, FLT3LG, NT-3, and LIF may play a crucial role in the pathogenesis of CHD. Additionally, CHD may impact the expression of CD5. Additional research is needed to explore the potential of these biomarkers in the prevention and treatment of CHD.

A systematic review and meta-analysis evaluating the association of high sensitivity troponin levels with outcomes in patients with stable coronary artery disease

BACKGROUND

High-sensitivity cardiac troponins (Hs-cTns) are reliable indicators of myocardial injury, but their relationship with cardiovascular outcomes remains less understood. This study explores the association between adverse cardiac events and Hs-cTnT levels exceeding 14 ng/L in patients with stable CAD.

METHODS

Thirteen pertinent studies were identified using specific keywords from a pool of 208 articles retrieved from PubMed, Scopus, and Google Scholar, spanning 2013 to 2023. The primary outcomes included all-cause mortality (ACM), myocardial infarction (MI), cardiovascular death (CVD), rehospitalization due to decompensated heart failure (RDHF), need for revascularization, and stroke. Comprehensive meta-analysis (CMA) was employed to analyze the data for odds ratios (OR) and 95% confidence intervals (CI). Heterogeneity was assessed using I2 statistics, and both qualitative assessment (Newcastle-Ottawa Scale) and quantitative analysis (Egger's and Beggs test, funnel plots) were conducted.

RESULTS

The analysis included 29,115 participants (74.72% male) with a mean age of 68.34 years. It revealed a significantly elevated risk of ACM among stable CAD patients with Hs-cTnT levels >14 ng/L compared to those with levels <14 ng/L (11.2% vs. 3.3%; OR = 5.46; 95% CI = 1.53-19.54; p = 0.009). Similarly, higher risks were observed for MI (10.9% vs 3.6%; OR = 3.12; 95% CI = 0.98-9.95, p = 0.053), CVD (8.1% vs. 2.1%; OR = 3.37; 95% CI = 1.74-6.50; p < 0.0001), and RDHF (6.62% vs. 0.92%; OR = 9.46; 95% CI = 4.65-19.24; p < 0.0001). Notably, major adverse cardiovascular events (MACE) exhibited a stronger association with Hs-cTnT levels (18.2% vs 7.81%; OR = 1.89; 95% CI = 0.80-4.43; I2 = 97%; p = 0.14) compared to Hs-cTnI levels (20.1% vs 21.1%; OR = 1.30; 95% CI = 1.03-1.64; I2 <0.0001%; p = 0.03).

CONCLUSION

Elevated levels of Hs-cTnT (>14 ng/L) are significantly associated with increased risks of RDHF and ACM in patients with stable CAD. Further large-scale prospective studies are warranted to refine risk assessment strategies and mitigate cardiovascular mortality in this population.

Nuclear Factor Erythroid 2 Related Factor 2 and Mitochondria Form a Mutually Regulating Circuit in the Prevention and Treatment of Metabolic Syndrome

Significance: Metabolic syndrome (MetS) has become a major global public health problem and there is an urgent need to elucidate its pathogenesis and find more effective targets and modalities for intervention. Recent Advances: Oxidative stress and inflammation are two of the major causes of MetS-related symptoms such as insulin resistance and obesity. Nuclear factor erythroid 2 related factor 2 (Nrf2) is one of the important systems responding to oxidative stress and inflammation. As cells undergo stress, cysteines within Kelch-like ECH-associated protein 1 (Keap1) are oxidized or electrophilically modified, allowing Nrf2 to escape ubiquitination and be translocated from the cytoplasm to the nucleus, facilitating the initiation of the antioxidant transcriptional program. Meanwhile, a growing body of evidence points out a specific modulation of mitochondrial homeostasis by Nrf2. After nuclear translocation, Nrf2 activates downstream genes involved in various aspects of mitochondrial homeostasis, including mitochondrial biogenesis and dynamics, mitophagy, aerobic respiration, and energy metabolism. In turn, mitochondria reciprocally activate Nrf2 by releasing reactive oxygen species and regulating antioxidant enzymes. Critical Issues: In this review, we first summarize the interactions between Nrf2 and mitochondria in the modulation of oxidative stress and inflammation to ameliorate MetS, then propose that Nrf2 and mitochondria form a mutually regulating circuit critical to maintaining homeostasis during MetS. Future Directions: Targeting the Nrf2-mitochondrial circuit may be a promising strategy to ameliorate MetS, such as obesity, diabetes, and cardiovascular diseases.

Vascular medicine in the 21st century: Embracing comprehensive vasculature evaluation and multidisciplinary treatment

The field of vascular medicine has undergone a profound transformation in the 21st century, transforming our approach to assessment and treatment. Atherosclerosis, a complex inflammatory disease that affects medium and large arteries, presents a major challenge for researchers and healthcare professionals. This condition, characterized by arterial plaque formation and narrowing, poses substantial challenges to vascular health at individual, national, and global scales. Its repercussions are far-reaching, with clinical outcomes including ischemic heart disease, ischemic stroke, and peripheral arterial disease-conditions with escalating global prevalence. Early detection of vascular changes caused by atherosclerosis is crucial in preventing these conditions, reducing morbidity, and averting mortality. This article underscored the imperative of adopting a holistic approach to grappling with the intricacies, trajectories, and ramifications of atherosclerosis. It stresses the need for a thorough evaluation of the vasculature and the implementation of a multidisciplinary treatment approach. By considering the entire vascular system, healthcare providers can explore avenues for prevention, early detection, and effective management of this condition, ultimately leading to improved patient outcomes. We discussed current practices and proposed new directions made possible by emerging diagnostic modalities and treatment strategies. Additionally, we considered healthcare expenditure, resource allocation, and the transformative potential of new innovative treatments and technologies.

Serum LOXL2 is Elevated and an Independent Biomarker in Patients with Coronary Artery Disease

Background

Arterial stiffness is associated with accelerated progression of atherosclerosis and plaque rupture. Lysyl oxidase-like 2 (LOXL2) plays a vital role in inflammatory responses, matrix deposition and arterial stiffness. This study assessed the correlation between the serum LOXL2 concentration and disease severity, inflammation, and endothelial dysfunction of coronary artery disease (CAD).

Methods

The study included 143 CAD patients and 150 non-CAD patients who underwent coronary angiography. Medical records, demographic and clinical baseline parameters were collected. Serum LOXL2 levels were measured using an ELISA kit.

Results

CAD patients had higher serum LOXL2 levels than non-CAD patients, and LOXL2 levels were associated with severity of coronary lesions. Serum LOXL2 level was positively correlated with low-density lipoprotein cholesterol (LDL-C) (r=0.161, P=0.054), systolic blood pressure (SBP) (r=0.175, P=0.036), high-sensitivity C-reactive protein (hs-CRP) (r=0.177, P=0.035), intima-media thickness (IMT) (r=0.190, P=0.023), and brachial-ankle pulse wave velocity (baPWV) (r=0.203, P=0.015), while negatively associated with high-density lipoprotein cholesterol (HDL-C) (r=-0.191, P=0.023) and flow-mediated dilation (FMD) (r=-0.183, P=0.028) in CAD patients. Multivariate logistic regression showed that LOXL2 is independently correlated with LDL-C (OR=3.380; 95% CI=1.258-9.082; P=0.016), hs-CRP (OR=10.988; 95% CI=1.962-61.532; P=0.006), TC (OR=2.229; 95% CI=1.005-4.944; P=0.049), IMT (OR=72.719; 95% CI=2.313-2286.008; P=0.015), and baPWV (OR=1.002; 95% CI=1.001-1.004; P=0.005) in CAD patients. The receiver operating characteristic (ROC) curve showed that the best cut-off for CAD as serum LOXL2 is 275.35 pg/mL, with sensitivity and specificity of 77.6% and 84%, respectively.

Conclusion

Our data demonstrated that LOXL2 could be a potential biomarker and independent risk factor for CAD patients.

Correlation Between the Neutrophil-to-Lymphocyte Ratio and the Severity of Coronary Artery Disease in Patients With Myocardial Infarction

Background Coronary artery disease (CAD) is one of the major causes of death all over the world. Its severity evaluation through the Gensini scoring system is quite a complex process as these score systems require complex investigations and cardiologists. Therefore, this study aimed to determine the predictive capacity of neutrophil-to-lymphocyte ratio (NLR) for the severity of CAD in patients with myocardial infarction. Methods This cross-sectional study was performed on 208 patients with acute myocardial infarction whose coronary angiography was performed in the Department of Cardiology of Benazir Bhutto Hospital (BBH), Rawalpindi, Pakistan during the period of one year from January 2022 to March 2023. The enrollment of patients was made through purposive sampling and established inclusion and exclusion criteria. Ethical approval and informed consent were acquired before the data collection. Data was collected through a self-structured form. Vessel score and Gensini score were applied for the assessment of the severity of CAD. Patients were divided into two groups based on the Gensini score system. Data analysis was carried out in the Statistical Package for the Social Sciences (SPSS) version 25 (Released 2017; IBM Corp., Armonk, New York, United States). Both descriptive and inferential statistics were used to compare the study variables between the patients with non-severe CAD and patients with severe CAD. Pearson's correlation was used to determine the correlation between the NLR and the severity of CAD. A linear regression model was applied to evaluate the predictive capacity of the NLR for the severity of CAD. A p-value less than 0.05 was set as statistically significant. Results Out of 208 patients, 128 (61.53%) patients had non-severe CAD while 80 (38.47%) patients had severe CAD. Significant differences were observed in the Gensini mean scores, NLR values, and in the frequencies of hypertension, diabetes mellitus, dyslipidemia, and history of smoking, with p≤0.05 for all these variables, between the non-severe CAD group and severe CAD group. NLR was significantly correlated with the severity of CAD (p-value=0.001). Pearson's correlation coefficient was 0.71 for NLR with the Gensini scores. The simple linear regression model was valid (the p-value of the F test was <0.000), with beta coefficients of 2.60 (p=0.002) for NLR. The R2 value was 0.80 (80%). Conclusions In the current study, a significant percentage of patients had severe CAD. Furthermore, a positive and significant association was noted between the NLR with the severity of CAD. This present study suggests that NLR is a reliable predictor of CAD severity; therefore, it could be used for risk stratification of cardiac patients with CAD.

The application of extracorporeal shock wave therapy on stem cells therapy to treat various diseases

In the last ten years, stem cell (SC) therapy has been extensively used to treat a range of conditions such as degenerative illnesses, ischemia-related organ dysfunction, diabetes, and neurological disorders. However, the clinical application of these therapies is limited due to the poor survival and differentiation potential of stem cells (SCs). Extracorporeal shock wave therapy (ESWT), as a non-invasive therapy, has shown great application potential in enhancing the proliferation, differentiation, migration, and recruitment of stem cells, offering new possibilities for utilizing ESWT in conjunction with stem cells for the treatment of different systemic conditions. The review provides a detailed overview of the advances in using ESWT with SCs to treat musculoskeletal, cardiovascular, genitourinary, and nervous system conditions, suggesting that ESWT is a promising strategy for enhancing the efficacy of SC therapy for various diseases.

Waterpipe smoking is associated with presence and severity of coronary artery disease: a propensity score-matched study

BACKGROUND

The prevalence of waterpipe smoking (WPS) has been increasing worldwide. This trend is alarming as WPS can negatively impact cardiovascular health. In the present study, we explored the association between WPS and the presence and severity of CAD.

METHODS

This study was a retrospective analysis of patients who underwent diagnostic coronary angiography at Tehran Heart Center between April 2021 and May 2022. Patients with a previous history of percutaneous coronary intervention and coronary surgery were excluded. Waterpipe smokers were matched with non-smokers based on age, gender, and cigarette smoking using a 1:4 propensity score matching model. Stenosis ≥ 50% in any coronary artery was considered a CAD diagnosis. Gensini score was also calculated to measure the severity of the CAD.

RESULTS

We reviewed the medical records of 8699 patients, including 380 waterpipe smokers. After matching, 1520 non-smokers with similar propensity scores to the waterpipe smokers were selected. Waterpipe smokers were more likely to have CAD than non-smokers (OR: 1.29; 95% CI: 1.04-1.60, P = 0.021). In addition, WPS increased the natural logarithm of the Gensini score by 1.24 (95% CI: 1.04-1.48, P = 0.014) in patients with atherosclerotic coronary disease.

CONCLUSION

WPS may increase the risk of CAD independent of age, gender, and cigarette smoking. In addition, among patients with any degree of atherosclerosis in coronary arteries (GS > 0), WPS may lead to higher average GS, suggesting more severe atherosclerosis.

Computed Tomography Angiography Identified High-Risk Coronary Plaques: From Diagnosis to Prognosis and Future Management

CT angiography has become, in recent years, a main evaluating modality for patients with coronary artery disease (CAD). Recent advancements in the field have allowed us to identity not only the presence of obstructive disease but also the characteristics of identified lesions. High-risk coronary atherosclerotic plaques are identified in CT angiographies via a number of specific characteristics and may provide prognostic and therapeutic implications, aiming to prevent future ischemic events via optimizing medical treatment or providing coronary interventions. In light of new evidence evaluating the safety and efficacy of intervening in high-risk plaques, even in non-flow-limiting disease, we aim to provide a comprehensive review of the diagnostic algorithms and implications of plaque vulnerability in CT angiography, identify any differences with invasive imaging, analyze prognostic factors and potential future therapeutic options in such patients, as well as discuss new frontiers, including intervening in non-flow-limiting stenoses and the role of CT angiography in patient stratification.

Development and validation of a prediction nomogram for sleep disorders in hospitalized patients with acute myocardial infarction

PURPOSE

Sleep disorders are becoming more prevalent in hospitalized patients with acute myocardial infarction (AMI). We aimed to investigate the risk factors for sleep disorders in hospitalized patients with AMI, then develop and validate a prediction nomogram for the risk of sleep disorders.

METHODS

Clinical data were collected from patients with AMI hospitalized in our hospital from January 2020 to June 2023. All patients were divided into the training group and the validation group with a ratio of 7:3 in sequential order. The LASSO regression analysis and multivariate logistic regression analysis were used to screen potential risk factors for sleep disorders. The concordance index (C-index), calibration curves, and decision curve analysis (DCA) were plotted.

RESULTS

A total of 256 hospitalized patients with AMI were enrolled. Patients were divided into the training group (180) and the validation group (76) according to a scale of 7:3. Of the 256 patients, 90 patients (35.16%) suffered from sleep disorders, and 33 patients (12.89%) needed hypnotics. The variables screened by LASSO regression included age, smoking, NYHA class, anxiety status at admission, depression status at admission, and strangeness of environment. A nomogram model was established by incorporating the risk factors selected. The C-index, calibration curve, and DCA showed good predictive performance.

CONCLUSIONS

We identified six clinical characteristics as predictors of sleep disorders in hospitalized patients with AMI. It helps nurses make appropriate decisions in clinical practice.

Efficacy of Diagnostic Testing of Suspected Coronary Artery Disease: A Contemporary Review

BACKGROUND

Coronary artery disease (CAD) is a highly prevalent condition which can lead to myocardial ischemia as well as acute coronary syndrome. Early diagnosis of CAD can improve patient outcomes through guiding risk factor modification and treatment modalities.

SUMMARY

Testing for CAD comes with increased cost and risk; therefore, physicians must determine which patients require testing, and what testing modality will offer the most useful data to diagnose patients with CAD. Patients should have an initial risk stratification for pretest probability of CAD based on symptoms and available clinical data. Patients with a pretest probability less than 5% should receive no further testing, while patients with a high pretest probability should be considered for direct invasive coronary angiography. In patients with a pretest probability between 5 and 15%, coronary artery calcium score and or exercise electrocardiogram can be obtained to further risk stratify patients to low-risk versus intermediate-high-risk. Intermediate-high-risk patients should be tested with coronary computed tomography angiography (preferred) versus positron emission tomography or single photon emission computed tomography based on their individual patient characteristics and institutional availability.

KEY MESSAGES

This comprehensive review aimed to describe the available CAD testing modalities, detail their risks and benefits, and propose when each should be considered in the evaluation of a patient with suspected CAD.

BACKGROUND

Coronary artery disease (CAD) is a highly prevalent condition which can lead to myocardial ischemia as well as acute coronary syndrome. Early diagnosis of CAD can improve patient outcomes through guiding risk factor modification and treatment modalities.

SUMMARY

Testing for CAD comes with increased cost and risk; therefore, physicians must determine which patients require testing, and what testing modality will offer the most useful data to diagnose patients with CAD. Patients should have an initial risk stratification for pretest probability of CAD based on symptoms and available clinical data. Patients with a pretest probability less than 5% should receive no further testing, while patients with a high pretest probability should be considered for direct invasive coronary angiography. In patients with a pretest probability between 5 and 15%, coronary artery calcium score and or exercise electrocardiogram can be obtained to further risk stratify patients to low-risk versus intermediate-high-risk. Intermediate-high-risk patients should be tested with coronary computed tomography angiography (preferred) versus positron emission tomography or single photon emission computed tomography based on their individual patient characteristics and institutional availability.

KEY MESSAGES

This comprehensive review aimed to describe the available CAD testing modalities, detail their risks and benefits, and propose when each should be considered in the evaluation of a patient with suspected CAD.

Predictive value of initial Lp-PLA2, NT-proBNP, and peripheral blood-related ratios for heart failure after early onset infarction in patients with acute myocardial infarction

OBJECTIVE

To analyze the predictive value of lipoprotein-associated phospholipase A2 (Lp-PLA2), N-terminal prohormone of brain natriuretic peptide (NT-proBNP), and peripheral blood-related ratios at the initial diagnosis for heart failure (HF) after early-onset infarction in patients with acute myocardial infarction (AMI).

METHODS

This retrospective analysis included 151 patients first diagnosed with AMI at Xianyang Central Hospital from February 2020 to February 2023. Patients were classified into two groups: those who developed HF during hospitalization (HF group, n=45) and those who did not (non-HF group, NHF, n=106). Differences in Lp-PLA2, NT-proBNP, and peripheral blood ratios at initial diagnosis were compared between the groups. Binary logistic regression was used to identify independent risk factors for HF, and a nomogram model was developed based on these factors.

RESULTS

HR (P=0.032), C-reactive protein (CRP) (P<0.001), alanine aminotransferase (ALT) (P=0.015), coronary artery lesion score (CALDS) (P<0.001), D-dimer (D-D) (P=0.021), neutrophil-to-lymphocyte ratio (NLR) (P<0.001), Lp-PLA2 (P<0.001), and NT-proBNP (P<0.001) were significantly higher in the HF group than in the NHF group. Left ventricular end-systolic diameter (LVESD) (P<0.001) and left ventricular end-diastolic diameter (LVEDD) (P<0.001) were significantly lower in the HF group. Multifactorial logistic regression identified HR (P=0.034), CRP (P=0.028), CALDS (P=0.007), NLR (P=0.001), Lp-PLA2 (P=0.001), and NT-proBNP (P=0.002) as independent predictors of HF. The AUCs for NLR, Lp-PLA2, and NT-proBNP were 0.806, 0.849, and 0.780, respectively. The nomogram model achieved an AUC of 0.964, significantly outperforming individual indicators per Delong's test, highlighting its superior predictive efficacy.

CONCLUSION

HR, CRP, CALDS, NLR, Lp-PLA2, and NT-proBNP were identified as independent predictors of HR post-AMI myocardial infarction. The constructed nomogram model provides an effective tool for early clinical identification of high-risk patients, potentially improving prognosis and guiding therapeutic strategies.

Identification of Endoplasmic Reticulum Stress-Related Biomarkers in Coronary Artery Disease

Coronary artery disease (CAD) is caused by atherosclerotic lesions in the coronary vessels. Endoplasmic reticulum stress (ERS) acts in cardiovascular disease, and its role in CAD is not clear. A total of 13 differentially expressed ERS-related genes (DEERSRGs) in CAD were identified. Functional enrichment analysis demonstrated the DEERSRGs were mainly enriched in endoplasmic reticulum (ER)-related pathways. Then, eight genes (RCN2, HRC, DERL2, RNF183, CRH, TMED2, PPP1R15A, and IL1A) were authenticated as ERS-related biomarkers in CAD by least absolute shrinkage and selection operator (LASSO). The receiver operating characteristic (ROC) analysis showed that the LASSO logistic model constructed based on biomarkers had a better diagnostic effect, which was confirmed by the ANN and GSE23561 datasets. Also, ROC results showed that seven of the eight biomarkers had better diagnostic effects. The nomogram model had good predictive power, and biomarkers were mostly enriched in pathways associated with CAD. The biomarkers were significantly associated with 10 immune cells, and RCN2, DERL2, TMED2, and RNF183 were negatively correlated with most chemokines. Eight biomarkers had significant correlations with both immunoinhibitors and immunostimulators. In addition, eight biomarkers were significantly different in both CAD and control samples, CRH and HRC were upregulated in CAD. The quantitative reverse transcription-polymerase chain reaction (qRT-PCR) showed that RCN2, HRC, DERL2, CRH, and IL1A were consistent with the bioinformatics analysis. RCN2, HRC, DERL2, RNF183, CRH, TMED2, PPP1R15A, and IL1A were identified as biomarkers of CAD. Functional enrichment analysis and immunoassays for biomarkers provide new ideas for the treatment of CAD.

The Chest Pain That Never Went Away: A Case of Complex Cardiopulmonary Pathologies in a 64-Year-Old Caucasian Male

Chest pain is a common and complex symptom that can arise from various etiologies, ranging from benign musculoskeletal conditions to life-threatening cardiovascular events. It is a hallmark symptom of myocardial infarction, angina, and other ischemic heart diseases, necessitating prompt and thorough evaluation. Ongoing chest pain post-procedures and medication administration presents a diagnostic challenge, as it may be indicative of an exacerbation of underlying conditions. We present the case of a 64-year-old Caucasian male who initially presented with severe and persistent chest pain suggestive of an anterior wall ST-elevation myocardial infarction (STEMI). He had a history of coronary artery disease and had recently undergone cardiac catheterization. Despite prompt administration of nitroglycerin and aspirin, the patient's symptoms persisted, prompting emergent percutaneous coronary intervention (PCI). Subsequent to PCI, ongoing chest discomfort persisted, prompting further investigation, which revealed a concurrent lung mass and nodules on imaging. Additional interventions, including repeated PCI procedures and thoracentesis, were undertaken. Unfortunately, the patient's clinical course rapidly deteriorated, culminating in cardiac arrest and unsuccessful resuscitative efforts. This case highlights the complexities inherent in managing intricate cardiovascular conditions and emphasizes the critical importance of maintaining vigilance for concomitant pathologies.