Independent Predictor Of Cardiovascular Events Research Articles

Antihypertensive Drug Recommendations for Reducing Arterial Stiffness in Patients With Hypertension: Machine Learning-Based Multicohort (RIGIPREV) Study.

High systolic blood pressure is one of the leading global risk factors for mortality, contributing significantly to cardiovascular diseases. Despite advances in treatment, a large proportion of patients with hypertension do not achieve optimal blood pressure control. Arterial stiffness (AS), measured by pulse wave velocity (PWV), is an independent predictor of cardiovascular events and overall mortality. Various antihypertensive drugs exhibit differential effects on PWV, but the extent to which these effects vary depending on individual patient characteristics is not well understood. Given the complexity of selecting the most appropriate antihypertensive medication for reducing PWV, machine learning (ML) techniques offer an opportunity to improve personalized treatment recommendations. This study aims to develop an ML model that provides personalized recommendations for antihypertensive medications aimed at reducing PWV. The model considers individual patient characteristics, such as demographic factors, clinical data, and cardiovascular measurements, to identify the most suitable antihypertensive agent for improving AS. This study, known as the RIGIPREV study, used data from the EVA, LOD-DIABETES, and EVIDENT studies involving individuals with hypertension with baseline and follow-up measurements. Antihypertensive drugs were grouped into classes such as angiotensin-converting enzyme inhibitors (ACEIs), angiotensin receptor blockers (ARBs), β-blockers, diuretics, and combinations of diuretics with ACEIs or ARBs. The primary outcomes were carotid-femoral and brachial-ankle PWV, while the secondary outcomes included various cardiovascular, anthropometric, and biochemical parameters. A multioutput regressor using 6 random forest models was used to predict the impact of each antihypertensive class on PWV reduction. Model performance was evaluated using the coefficient of determination (R2) and mean squared error. The random forest models exhibited strong predictive capabilities, with internal validation yielding R2 values between 0.61 and 0.74, while external validation showed a range of 0.26 to 0.46. The mean squared values ranged from 0.08 to 0.22 for internal validation and from 0.29 to 0.45 for external validation. Variable importance analysis revealed that glycated hemoglobin and weight were the most critical predictors for ACEIs, while carotid-femoral PWV and total cholesterol were key variables for ARBs. The decision tree model achieved an accuracy of 84.02% in identifying the most suitable antihypertensive drug based on individual patient characteristics. Furthermore, the system's recommendations for ARBs matched 55.3% of patients' original prescriptions. This study demonstrates the utility of ML techniques in providing personalized treatment recommendations for antihypertensive therapy. By accounting for individual patient characteristics, the model improves the selection of drugs that control blood pressure and reduce AS. These findings could significantly aid clinicians in optimizing hypertension management and reducing cardiovascular risk. However, further studies with larger and more diverse populations are necessary to validate these results and extend the model's applicability.

Abstract 4138555: The ApoB/LDL-C Ratio Predicts Cardiovascular Events in Coronary Artery Disease Patients Independently of Type 2 Diabetes Status

A high ApoB/LDL-C ratio reflects small LDL particle size which like type 2 diabetes (T2DM) is associated with insulin resistance. Whether the ApoB/LDL-C ratio and the presence of T2DM are mutually independent predictors of cardiovascular events is unclear and is addressed in the present study. We enrolled a large high-risk cohort of 1200 patients with coronary artery disease. T2DM was diagnosed according to current ADA guidelines. Prospectively, cardiovascular events were recorded over a mean follow-up period of 10.5±4.9 years. At baseline, the ApoB/LDL-C ratio was significantly higher in patients with T2DM (n=422) than in subjects who did not have T2DM (0.81±0.18 vs. 0.74±0.15 p<0.001). During follow-up, 662 patients suffered cardiovascular events. The Apo B/LDL-C ratio predicted cardiovascular events in univariate analysis (HR=1.11 [1.03-1.20] p= 0.006), and the event rate was higher in patients with than in those without T2DM (62.2% vs. 52.3%; p=0.001). In a multivariate adjusted Cox regression model both the ApoB/LDL-C ratio and T2DM significantly predicted cardiovascular events in a mutually independent manner, with standardized adjusted HRs of 1.11 [1.03-1.20]; p=0.008 and 1.39 [1.18- 1.64]; p<0.001, respectively. We conclude that in subjects with coronary artery disease the ApoB/LDL-C and T2DM are mutually independent predictors of cardiovascular events.

Abstract 4138559: Cystatin C Predicts Cardiovascular Events in Patients With Coronary Artery Disease Both Among Patients With and Among Those Without Type 2 Diabetes

Cystatin C is an established biomarker for renal function, and, given the close association of chronic kidney disease and cardiovascular disease might indicate new-onset or deteriorating cardiovascular disease. However, evidence for cystatin C as a predictor of cardiovascular events is limited and controversial. We therefore aimed at investigating the role of cystatin C as a predictor of future cardiovascular events in a high risk-cohort of patients with established coronary artery disease (CAD). We prospectively recorded cardiovascular events in 1053 patients with angiographically verified CAD over a mean follow-up of 9.5±5.3 years. At baseline, 352 patients had type 2 diabetes mellitus (T2DM) and 701 did not have T2DM. During follow-up, 560 (53.2%) of our patients suffered cardiovascular events. Cystatin C proved to be a strong and independent predictor for cardiovascular events in the total study cohort (standardized adjusted HR 1.22 [1.12-1.33], p<0.001). When T2DM status was taken into account, cystatin C significantly predicted cardiovascular events both in patients with T2DM (HR 1.18 [1.04-1.35], p=0.011) and in non-diabetic patients (HR 1.23 [1.09-1.38], p<0.001). We conclude that cystatin C predicts cardiovascular events in CAD patients both among those with and among those without T2DM.

Abstract 4138547: The A Body Shape Index and Type 2 Diabetes are Mutually Independent Predictors of Cardiovascular Events in Patients With Established Coronary Artery Disease

The A Body Shape index (ABSI) is a validated measure of visceral adiposity that is calculated based on waist circumference, height and BMI. Its power to predict cardiovascular events in patients with coronary artery disease (CAD) is unclear and is addressed in the present study. We prospectively recorded cardiovascular events in a cohort of 938 patients with CAD over a mean follow-up time of 8.1±4.2 years. At baseline, the ABSI was higher in patients with type 2 diabetes (T2DM; n=308) than in those who did not have diabetes (8.4±0.6 vs. 8.3±0.5; p=0.032). Prospectively, the ABSI significantly predicted the incidence of cardiovascular events (n=389) after adjustment for age, gender, smoking, hypertension, LDL cholesterol, HDL cholesterol, and T2DM (standardized adjusted HRs 1.12 [1.03-1.22]; p=0.009, respectively). T2DM in turn also significantly predicted cardiovascular events in this model with a HR of 1.23 [1.02-1.49]; p=0.034 after adjustment for ABSI. We conclude that ABSI and T2DM are mutually independent risk factors for cardiovascular events in patients with established CAD.

Abstract 4137895: Serum High-density Lipoprotein-Associated Paraoxonase-1 Levels Predict Recurrent Cardiovascular Events after Stent Implantation in Patients with Stable Angina Pectoris

Background: Poor clinical outcomes for patients undergoing hemodialysis (HD) after drug-eluting stent (DES) implantation have been reported. High-density lipoprotein (HDL) cholesterol is well-established as a negative risk factor for coronary artery disease, and its anti-oxidant property has been attributed mainly to the HDL-bound enzyme paraoxonase-1 (PON-1). Myeloperoxidase (MPO), a pro-oxidant enzyme released from activated neutrophils, has been shown to alter the atheroprotective function of HDL to a dysfunctional form. The aim of this study was to investigate the relationship between plasma MPO and serum PON-1 levels after implantation of DES in patients with stable angina pectoris (SAP) with and without HD. Methods: Serum PON-1 concentrations and PON-arylesterase activity were measured in 183 patients with SAP after DES implantation (HD group, n=37; non-HD group, n=146) with a sandwich ELISA method. Cardiovascular events were defined as sudden cardiac death, fatal or non-fatal myocardial infarction, cerebral infarction and other non-fatal events including unstable angina pectoris or coronary revascularization. Results: Serum PON-1 concentrations and PON-arylesterase activity were significantly lower in the HD group than in the non-HD group (PON-1 concentrations, P<0.0001; PON-arylesterase activity, P<0.0001). In addition, plasma MPO in patients undergoing HD were significantly higher than in patients not undergoing HD (P<0.0001). Moreover, plasma MPO showed a significant inverse correlation with serum PON-1 concentrations and PON-arylesterase activity (concentration: R= -0.24, P=0.0013; arylesterase-activity: R=-0.24, P=0.0014). Cardiovascular event rates were significantly higher in the HD group than in the non-HD group (67.6% vs. 43.8%, P<0.01). Kaplan-Meier survival analysis showed that the low-PON-1 group (<58.0 mg/mL, median) had a significantly worse outcome than the high-PON-1 group ( P =0.013). Multivariate analysis showed that a low serum PON-1 concentration was the only independent predictor of cardiovascular events (odds ratio, 1.93; 95% confidence interval, 1.10 to 3.40, P =0.024). Conclusions: These findings demonstrate that plasma MPO have a significant inverse correlation with PON-1 in patients undergoing HD and suggest that an imbalance between pro-oxidants and anti-oxidants may contribute to the progression and destabilization of human coronary atherosclerotic lesions in patients with SAP who undergo HD following DES implantation.

The ApoB/LDL-C ratio predicts cardiovascular events in coronary artery disease patients independent of type 2 diabetes status

Abstract A high ApoB/LDL-C ratio reflects small LDL particle size which like type 2 diabetes (T2DM) is associated with insulin resistance. Whether the ApoB/LDL-C ratio and the presence of T2DM are mutually independent predictors of cardiovascular events is unclear and is addressed in the present study. We enrolled a large high-risk cohort of 1200 patients with coronary artery disease. T2DM was diagnosed according to current ADA guidelines. Prospectively, cardiovascular events were recorded over a mean follow-up period of 10.5±4.9 years. At baseline, the ApoB/LDL-C ratio was significantly higher in patients with T2DM (n=422) than in subjects who did not have T2DM (0.81±0.18 vs. 0.74±0.15 p<0.001). During follow-up, 662 patients suffered cardiovascular events. The Apo B/LDL-C ratio predicted cardiovascular events in univariate analysis (HR=1.11 [1.03-1.20] p= 0.006), and the event rate was higher in patients with than in those without T2DM (62.2% vs. 52.3%; p=0.001). In a multivariate adjusted Cox regression model both the ApoB/LDL-C ratio and T2DM significantly predicted cardiovascular events in a mutually independent manner, with standardized adjusted HRs of 1.11 [1.03-1.20]; p=0.008 and 1.39 [1.18- 1.64]; p<0.001, respectively. We conclude that in subjects with coronary artery disease the ApoB/LDL-C and T2DM are mutually independent predictors of cardiovascular events.

Cystatin C predicts cardiovascular events in patients with coronary artery disease both among patients with and among those without type 2 diabetes

Abstract Cystatin C is an established biomarker for renal function, and, given the close association of chronic kidney disease and cardiovascular disease might indicate new-onset or deteriorating cardiovascular disease. However, evidence for cystatin C as a predictor of cardiovascular events is limited and controversial. We therefore aimed at investigating the role of cystatin C as a predictor of future cardiovascular events in a high risk-cohort of patients with established coronary artery disease (CAD). We prospectively recorded cardiovascular events in 1053 patients with angiographically verified CAD over a mean follow-up of 9.5±5.3 years. At baseline, 352 patients had type 2 diabetes mellitus (T2DM) and 701 did not have T2DM. During follow-up, 560 (53.2%) of our patients suffered cardiovascular events. Cystatin C proved to be a strong and independent predictor for cardiovascular events in the total study cohort (standardized adjusted HR 1.22 [1.12-1.33], p<0.001). When T2DM status was taken into account, cystatin C significantly predicted cardiovascular events both in patients with T2DM (HR 1.18 [1.04-1.35], p=0.011) and in non-diabetic patients (HR 1.23 [1.09-1.38], p<0.001). We conclude that cystatin C predicts cardiovascular events in CAD patients both among those with and among those without T2DM.

The visceral adiposity index predicts cardiovascular events both in coronary artery disease patients with and in those without diabetes

Abstract The Visceral Adiposity Index (VAI) is calculated based on waist circumference, BMI, triglyceride and HDL-cholesterol levels and is a validated measure of visceral adiposity. In the general population, the VAI has been shown to be an independent risk factor for premature mortality. Its power to predict cardiovascular events in patients with coronary artery disease (CAD) with or without type 2 diabetes mellitus (T2DM) is not known and is addressed in the present study. We prospectively investigated 927 patients with angiographically diagnosed CAD over a mean follow-up time of 8.2±4.3 years. At baseline, the VAI was significantly higher in patients with T2DM (n=303) than in those who did not have diabetes (6.5±5.2 vs. 4.8±4.9; p<0.001). During follow-up, we recorded 385 cardiovascular events. The VAI significantly predicted the incidence of cardiovascular events both univariately (standardized HR 1.09 [1.02-1.16]; p=0.011) and after adjustment for age, gender, smoking, LDL cholesterol, hypertension and T2DM (standardized adjusted HR 1.11 [1.04- 1.18]; p=0.002); T2DM also significantly predicted cardiovascular events in this fully adjusted model (adjusted HR 1.26 [1.04-1.52]; p=0.018) independently from the VAI. We conclude that the VAI and T2DM are mutually independent predictors of cardiovascular events in patients with CAD.

Assessing the impact of implantable loop recorder placement on anxiety level

Abstract Background Anxiety is a prolonged state of apprehension or worry that can be an independent predictor of cardiovascular events, associated with a 48% increased risk of cardiac death. About one-third of patients with arrhythmias present with high anxiety levels, and subsequently worse quality of life. In our experience of patient care, many patients feel anxious about the possibility of an arrhythmia that could lead to their demise, especially if their symptoms are undiagnosed. Purpose Our project aims to explore the change in patients’ anxiety levels following implantable loop recorder (ILR) placement. Methods This is a survey-based observational study that was performed in an outpatient clinic and hospital using validated General Anxiety Disorder-7 (GAD-7) questionnaires. Individuals who met indications to undergo ILR implantation including palpitations, syncope, subclinical atrial fibrillation, and cryptogenic stroke underwent baseline assessment of anxiety prior to implantation. Individuals had repeat assessments at 6 weeks and 12 weeks post-implantation to evaluate the effect of ILR placement. Results Our study included 50 individuals. Out of the initial subjects, 10/25 females and 11/25 males were lost to follow-up. The average initial GAD-7 score was 3.3 (Range 0, 15), average 6-week score was 1.6 (Range 0, 14), and average 12-week score was 0.9 (Range 0, 10). Total decrease in GAD-7 score after 6 weeks of having ILR was 50%. Total decrease in GAD-7 score after 12 weeks of ILR was statistically significant at 73% (P=0.03). Females showed greater improvement of GAD-7 scores in comparison to males at 6 weeks (67% vs 36%) and 12 weeks (81% vs 66%). Conclusion Studies have suggested an overall decreased level of anxiety in patients receiving implantable devices that have the potential to treat arrhythmias such as implantable cardiac defibrillators and pacemakers. Our results suggest that the benefit may extend to implantable devices that seek to provide further diagnostic information and aid in the prognostication of disease burden. As seen in our study population, GAD-7 scores showed dramatic improvement with greater percentage in female than male population. After the placement of loop recorders, many patients experience a sense of security with having a device that monitors them. Our study is the first to address the association between ILR and anxiety. Future studies evaluating this association would help increase the power of the study.Figure 1:Bar graph of GAD-7 Scores

Association of R2-CHA2DS2-VASc score and clinical outcomes after bioprosthetic valve replacement: Subanalysis from BPV-AF registry

Abstract Background Although bioprosthetic valve (BPV) replacements are becoming more common, there are limited studies about prognostic prediction method for patients after BPV replacement. R2-CHA2DS2-VASc score is modified CHA2DS2-VASc score by adding reduced estimated glomerular filtration rate (eGFR < 60 mL/min/1.73m2). It is increasingly used for the prediction of cardiovascular (CV) events in patients with atrial fibrillation (AF), device implantation, and acute coronary syndrome. Purpose We aimed to evaluate the predictive value of R2-CHA2DS2-VASc score for future CV events in patients after BPV replacement. Methods BPV-AF, an observational, multicenter, prospective registry, enrolled AF patients that underwent BPV replacement. Patients were stratified into three risk groups according to their R2-CHA2DS2-VASc score as follows; low (scores, 0–1), moderate (scores, 2–4), and high (scores, 5–11). The primary outcome measure was a composite of stroke, systemic embolism, CV events including heart failure hospitalization, and cardiac death. Results A total of 766 patients were included in the analysis. The mean age was 80.3 years and 419 patients (54.7%) were female. Mean R2-CHA2DS2-VASc score was 4.1±1.5. Low, moderate, and high R2-CHA2DS2-VASc score groups consisted of 12 (1.6%), 178 (23.2%), and 576 (75.2%) patients, respectively. Median follow up period was 491 (interquartile range: 393-561) days. Kaplan-Meier analysis showed higher incidence of the composite CV events in high R2-CHA2DS2-VASc score group (Log rank test; p<0.01). Multivariate Cox proportional hazards regression analysis revealed that the R2CHA2DS2-VASc score as a continuous variable was an independent predictor of CV events (hazard ratio 1.33, 95% confidence interval 1.18 to 1.51, p<0.01). Conclusion The R2-CHA2DS2-VASc score is useful for CV risk stratification in AF patients after BPV replacement.Cumulative Incidence for Composite CV Ev

Prognostic value of multiparametric cardiac magnetic resonance after revascularized STEMI

Abstract Despite early revascularization of STEMI through angioplasty, the prognosis following STEMI remains poor for a non-negligible percentage of patients (1). In this setting, multiple imaging parameters have demonstrated their prognostic value. The aim of the present study is to evaluate which of these parameters are the most potent predictors of events following revascularized STEMI. Methods A prospective observational study was conducted, including a cohort of revascularized STEMI patients and who underwent cardiac MRI during the first week. The protocol included cardiac functional analysis and with b-SSFP sequences for evaluation of volumes, mass, ejection fraction and also circumferential and radial strain with feature tracking. STIR sequences were used to assess edema and salvaged myocardium, IR-FGE sequences were employed for evaluation of necrosis size and microvascular obstruction. Intra-infarct hemorrhage assessment was performed using T2* mapping sequences as previosly described (2,3,4) . A semi-automatic analysis was conducted, considering as microvascular obstruction segments with hypointensity in the infarct core and as segments with hemorrhage those with a T2* less than 20 ms. The association of imaging parameters with cardiovascular events in the first year following STEMI was studied using ROC curves. Variables with significant association were analyzed using a multivariate logistic regression model. Results Ninety-four patients with a mean age of 63 (SD 13) years were included. Nine of them had cardiovascular events in the first year and two of them died. The relative extent of necrosis and microvascular obstruction, minimal radial strain, left ventricular ejection fraction (LVEF) and indexed left ventricular end- systolic volume (ILVESV) showed significant association with cardiovascular events after STEMI. Variables with significant association were entered into a multivariate predictive model, revealing that the extent of microvascular obstruction (OR: 1.9, p=0.02) and the left ventricular end-systolic volume (OR: 1.04, p<0.01) are the only independent predictors of cardiovascular events following STEMI. Conclusion Although multiple imaging parameters have shown prognostic value after STEMI, the ILVESV and the extent of microvascular obstruction are the only independent predictors of events following STEMI.Multiparametric cardiac MR in STEMIAREA UNDER ROC CURVE OF CMR PARAMETERS

Endothelial cells derived extracellular vesicles promote diabetic arterial calcification via circ_0008362/miR-1251-5p/Runx2 axial

IntroductionArterial calcification, an independent predictor of cardiovascular events, increases morbidity and mortality in patients with diabetes mellitus (DM), but its mechanisms remain unclear. Extracellular vesicles (EVs) play an important role in intercellular communication. The study investigates the role and potential mechanisms of EVs derived from endothelial cells (ECs) in regulating vascular smooth muscle cell (VSMC) calcification under high glucose (HG) condition, with a goal of developing effective prevention and treatment strategies for diabetic arterial calcification.ResultsThe results showed that EVs derived from HG induced ECs (ECHG-EVs) exhibited a bilayer structure morphology with a mean diameter of 74.08 ± 31.78 nm, expressing EVs markers including CD9, CD63 and TSG101, but not express calnexin. ECHG-EVs was internalized by VSMCs and induced VSMC calcification by increasing Runx2 expression and mineralized nodule formation. The circ_0008362 was enriched in ECHG-EVs, and it can be transmitted to VSMCs to promote VSMC calcification both in vitro and in vivo. Mechanistically, miR-1251-5p might be one of the targets of circ_0008362 and they were co-localization in the cytoplasm of VSMCs. Runx2 was identified as the downstream target of miR-1251-5p, and circ_0008362 acted as a sponge, enhancing Runx2 expression and then promoted VSMC calcification. Besides, circ_0008362 could directly interact with Runx2 to aggravate VSMC calcification. Notably, DiR-labelled ECHG-EVs was detected in the vessels of mice. Meanwhile, the level of circ_0008362 and Runx2 were increased significantly, while the expression of miR-1251-5p was decreased significantly in calcified artery tissues of mice. However, inhibiting the release of EVs by GW4869 attenuated arterial calcification in diabetic mice. Finally, the level of circulation of plasma EVs circ_0008362 was significantly higher in patients with DM compared with normal controls. Elevated levels of plasma EVs circ_0008362 were associated with more severe coronary and aorta artery calcification in patients with DM.ConclusionsOur findings suggested that circ_0008362 was enriched in EVs derived from ECs and promoted VSMC calcification under HG conditions, both by sponging miR-1251-5p to upregulate Runx2 expression and through direct interaction with Runx2. Furthermore, elevated levels of plasma EVs circ_0008362 were associated with more severe coronary and aorta artery calcification in patients with DM. These results may serve as a potential prevention and therapeutic target for diabetic arterial calcification.Graphical abstract

Reference equations for pulse wave velocity, augmentation index, amplitude of forward and backward wave in a European general adult population

Pulsatile hemodynamics have been shown to be independent predictors of cardiovascular events. The aim of the current study was to describe four pulsatile hemodynamic markers in a large, well-established, population-based cohort and to provide reference equations for sex- and age-based standardization of these measurements. 6828 adult participants from the Austrian LEAD (Lung, hEart, sociAl, boDy) cohort study, who were free from overt cardiovascular disease, non-diabetic based on blood test results, and had no history of pharmacological treatment for hypertension, dyslipidemia, and diabetes, comprised the “reference population”. Carotid-femoral pulse wave velocity (cfPWV), augmentation index (AIx), amplitude of forward wave (Pf), and backward wave (Pb) were described in different age categories for both sexes. Sex-specific reference equations for cfPWV, AIx, Pf, and Pb with age as the predictive variable were created using the Lambda-Mu-Sigma (LMS) method. All four parameters increased with age. CfPWV and Pf were higher in males than females, especially in young and middle-age groups (P < 0.001). AIx was higher in females than males in all age categories (P < 0.001). Pb was also higher in females than males in age groups older than 40 years (P < 0.01). Reference equations for the skewness (Lambda), median (Mu), and coefficient of variation (Sigma) values were determined, enabling the calculation of sex- and age-standardized values (z-scores) for each individual’s pulsatile hemodynamic measurement, and an online application was developed. Reference equations derived from a large population-based dataset constitute a suitable tool for the standardization of pulsatile hemodynamics and for the accurate interpretation of vascular aging.

Association between high plasma levels of legumain and cardiovascular events in patients undergoing coronary angiography.

Degradation of vascular extracellular matrix is important in atherosclerosis. Cysteine protease legumain is upregulated in atherosclerotic plaques. We recently reported that plasma legumain levels are high in patients with complex coronary lesions. This study investigated the association between legumain levels and cardiovascular events in 372 patients undergoing coronary angiography. Patients with acute coronary syndrome were excluded. Of the 372 patients, 225 had coronary artery disease (CAD). During a mean follow-up of 7.0 ± 4.3 years, cardiovascular events occured in 62 patients. Compared with 310 patients without events, 62 with events tended to have higher prevalence of complex lesions (15% vs. 10%). Notably, patients with events had higher legumain levels (median 5.51 vs. 4.90 ng/mL, P < 0.01) than those without events. A Kaplan-Meier analysis showed lower event-free survival in patients with legumain > 5.0 ng/mL than in those with ≤ 5.0 ng/mL (P < 0.01). In multivariate Cox regression analysis, legumain level was an independent predictor of cardiovascular events. The hazard ratio for legumain > 5.0 ng/mL for cardiovascular events was 2.18 (95%CI = 1.27-3.77, P < 0.01). Only among 225 patients with CAD, patients with events had higher legumain levels (5.49 vs. 4.73 ng/mL) than without events (P < 0.02). Legumain level was also a predictor of cardiovascular events in patients with CAD. Thus, high plasma legumain levels were associated with an increased risk of cardiovascular events in patients undergoing coronary angiography and those with stable CAD.

Comparative effects of sacubitril/valsartan and ACEI/ARB on endothelial function and arterial stiffness in patients with heart failure: a protocol for systematic review and meta-analysis

IntroductionHeart failure (HF) is a complex syndrome that affects millions of people worldwide and leads to significant morbidity and mortality. Sacubitril/valsartan, a combination drug consisting of a neprilysin inhibitor and...

Association Between Coronary Calcium Detection on Chest Computed Tomography and Ischemic Cardiovascular Events and Mortality in Asymptomatic Chronic Obstructive Pulmonary Disease Patients. Systematic Review of the Literature

IntroductionLiterature suggests that there is a close relationship between chronic obstructive pulmonary disease (COPD) and cardiovascular (CV) disease. The aim of this study was to assess whether the presence of coronary calcium (CC) on chest computed tomography (CT) in asymptomatic COPD patients is associated with an increased risk of CV events and mortality. Material and methodsA systematic review of the literature was performed following PRISMA recommendations. Studies published in the last 20 years in four databases (PubMed, Web of Science, Embase and MEDLINE) were included. ResultsThree hundred fifty articles were identified, eight of them met the selection criteria. The included studies, conducted between 2013 and 2024, were predominantly multicentre cohort studies. The meta-analysis showed that the presence of CC on chest CT of COPD patients is an independent predictor of CV events (hazard ratio 1.44, 95% CI 1.22–1.70) and associated with an increased mortality during the follow-up period (hazard ratio 1.57, 95% CI 1.35–1.83). ConclusionsOur analysis suggests that the identification of CC on chest CT scans of COPD patients may be useful in the early detection and treatment of CV disease in asymptomatic patients. Prospective, multicentre studies confirming our findings are needed to explore the potential impact of early detection and treatment of CV risk in COPD patients.

Abstract P232: Estradiol Supplementation Prevents Ovariectomy-Induced Arterial Stiffness and Vascular Fibrosis

Background: Arterial stiffness is an independent predictor of cardiovascular events and mortality. Clinical data shows arterial stiffness increases rapidly after menopause, but mechanisms that mediate this change are not well known. The effect of ovariectomy (ovx) in rodent models is inconsistent in the literature. We hypothesize that the loss of estradiol (E2) contributes to ovx-induced arterial stiffening in a mouse model via fibrotic mechanisms, and that restoration of E2 will prevent these changes. Methods: Eight-week-old female C57/Bl6J mice received bilateral ovx or sham operation. Subcutaneous placebo or E2 (0.36 mg/day) pellets were implanted 2 weeks later to achieve three groups (sham+placebo, ovx+placebo, and ovx+E2). Aortic pulse wave velocity (PWV) was measured as an index of arterial stiffness. Blood pressure (BP) was measured by radiotelemetry. Aortic fibrosis was assessed by histological quantification of Masson’s trichrome staining and expressed as fold change in %fibrosis from sham. Pro-fibrotic genes were assessed in aortic tissue via quantitative PCR. Data presented are mean ± SEM. Results: Successful ovx was confirmed by reduction in uterine weight in the ovx group compared with other groups ( p &lt;0.0001). At 6-weeks-post-surgery (N=16-18/group), PWV was increased in ovx (5.2±0.2 mm/ms) versus sham (3.4±0.1 mm/ms, p &lt;0.0001) and ovx+E2 (3.5±0.1 mm/ms, p &lt;0.0001) groups. In biweekly measures (N=4-5/group), PWV was greater in the ovx group at 4- and 6-weeks-post-surgery compared with sham ( p &lt;0.0001) and ovx+E2 ( p &lt;0.0001) groups, while PWV in the ovx+E2 group did not differ from sham at any time ( p ≥0.6). At 6-weeks post-surgery (N=5/group), there were no observed differences between groups for dark or light cycle systolic or diastolic BP, mean arterial pressure, or pulse pressure. Aortic fibrosis was increased in the ovx group (1.6-fold) compared with sham ( p =0.03) and ovx+E2 (0.9-fold, p =0.02) groups (N=10-12/group). Aortic fibrosis correlated with PWV at 6-weeks-post-surgery (R 2 =0.25, p &lt;0.01). Aortic mRNA expression of collagen1a1 was increased in ovx versus ovx+E2 mice ( p =0.04, N=4-6/group). Conclusion: In conclusion, the restoration of E2 prevents ovx-driven arterial stiffening in female mice via a reduction in fibrotic remodeling of the aorta. The results also support that ovx is an appropriate model to study the mechanisms of menopause-induced arterial stiffening and that anti-fibrotic therapeutics may be beneficial in aging women.

Prognostic value of left atrial reverse remodelling in patients hospitalized with acute decompensated heart failure.

Left atrial (LA) volume index (LAVI) in chronic heart failure (HF) predicts cardiovascular outcomes. However, the association between LAVI reduction during acute decompensated HF (ADHF) and its prognostic potential is limited. We hypothesized that LA reverse remodelling (LARR) after ADHF therapy would be associated with better clinical outcomes. This retrospective study analysed clinical outcomes and the LAVI reduction rate of 363 out of 861 patients hospitalized for ADHF who underwent two-point echocardiography at admission and discharge between January 2015 and December 2019. The mean age was 74.3±13.6years, and the mean ejection fraction (EF) was 38.9±15.2%. The follow-up echocardiogram was performed 13.0 [9.5, 20] days after admission. As the median LAVI reduction rate was 7.02%, the LARR was defined as an LAVI reduction rate >7%. During the 34.0±20.2months of follow-up, 117 patients (32.2%) reached the primary endpoint defined as cardiovascular death and rehospitalization for ADHF. Kaplan-Meier survival analysis showed that patients with LARR had a better prognosis. Multivariate analysis indicated that LARR was an independent predictor of cardiovascular events. Similar findings were observed in the subgroup analyses of patients with persistent/permanent atrial fibrillation and those with non-HF with reduced EF. Among patients who were brain natriuretic peptide (BNP) responders, defined as a relative reduction of >70% in BNP from admission to discharge, non-LARR was observed in 41.6%. BNP responders without LARR experienced worse prognoses. LARR in the early vulnerable phase after hospitalization for ADHF was associated with better long-term clinical outcomes.

Performance assessment of an artificial intelligence-based coronary artery calcium scoring algorithm in non-gated chest CT scans of different slice thickness.

The coronary artery calcium score (CACS) has been shown to be an independent predictor of cardiovascular events. The traditional coronary artery calcium scoring algorithm has been optimized for electrocardiogram (ECG)-gated images, which are acquired with specific settings and timing. Therefore, if the artificial intelligence-based coronary artery calcium score (AI-CACS) could be calculated from a chest low-dose computed tomography (LDCT) examination, it could be valuable in assessing the risk of coronary artery disease (CAD) in advance, and it could potentially reduce the occurrence of cardiovascular events in patients. This study aimed to assess the performance of an AI-CACS algorithm in non-gated chest scans with three different slice thicknesses (1, 3, and 5 mm). A total of 135 patients who underwent both LDCT of the chest and ECG-gated non-contrast enhanced cardiac CT were prospectively included in this study. The Agatston scores were automatically derived from chest CT images reconstructed at slice thicknesses of 1, 3, and 5 mm using the AI-CACS software. These scores were then compared to those obtained from the ECG-gated cardiac CT data using a conventional semi-automatic method that served as the reference. The correlations between the AI-CACS and electrocardiogram-gated coronary artery calcium score (ECG-CACS) were analyzed, and Bland-Altman plots were used to assess agreement. Risk stratification was based on the calculated CACS, and the concordance rate was determined. A total of 112 patients were included in the final analysis. The correlations between the AI-CACS at three different thicknesses (1, 3, and 5 mm) and the ECG-CACS were 0.973, 0.941, and 0.834 (all P<0.01), respectively. The Bland-Altman plots showed mean differences in the AI-CACS for the three thicknesses of -6.5, 15.4, and 53.1, respectively. The risk category agreement for the three AI-CACS groups was 0.868, 0.772, and 0.412 (all P<0.01), respectively. While the concordance rates were 91%, 84.8%, and 62.5%, respectively. The AI-based algorithm successfully calculated the CACS from LDCT scans of the chest, demonstrating its utility in risk categorization. Furthermore, the CACS derived from images with a slice thickness of 1 mm was more accurate than those obtained from images with slice thicknesses of 3 and 5 mm.

Long term worsening of arterial stiffness from monitoring of QKD interval predicts the occurrence of cardiovascular events.

Arterial stiffness is an independent predictor of cardiovascular events in different populations. Destiffening appears to be possible through the control of the main cardiovascular risk factors, with however important individual variations. There are so far too few data available on the prognostic importance of changes in arterial stiffness. We tested the consequences of changes in arterial stiffness assessed with the QKD method on the incidence of cardiovascular events in a cohort of hypertensive patients. The change of QKD100-60 was calculated as the difference between baseline and last follow-up value. Patients were classified as group 0 with stable or increased QKD100-60 and group 1 with decreased QKD100-60 (increased arterial stiffness). The prognostic of these two groups was analysed with a Cox model including age, baseline QKD100-60, 24 h SBP (baseline and change), delay between first and last recording, sex, diabetes, smoking, and hypercholesterolemia. We included 555 essential hypertensive patients with 24 h ambulatory measurement of BP and QKD at baseline and follow-up. The follow-up period was 12.28 ± 7.38 years with an average time between baseline and last recording of 8.86 ± 6.48 years. 94 cardiovascular events occurred. The group with increased arterial stiffness shows the double risk of occurrence of cardiovascular event than the group with stable or reduced arterial stiffness independently of other factors including changes in 24 h SBP.