Adverse Cardiac Events In Patients Research Articles

Artificial intelligence-assisted measurements of coronary computed tomography angiography parameters such as stenosis, flow reserve and fat attenuation for predicting major adverse cardiac events in patients with coronary arterial disease.

Advancements in artificial intelligence (AI) offer promising tools for improving diagnostic accuracy and patient outcomes in cardiovascular medicine. This study explores the potential of AI-assisted measurements in enhancing the prediction of major adverse cardiac events (MACE) in patients with coronary artery disease (CAD). We conducted a retrospective cohort study involving patients diagnosed with CAD who underwent coronary computed tomography angiography (CCTA). Participants were classified into MACE and non-MACE groups based on their clinical outcomes. Clinical characteristics and AI-assisted measurements of CCTA parameters, including CT-derived fractional flow reserve (CT-FFR) and fat attenuation index (FAI), were collected. Both univariate and multivariable logistic regression analyses were performed to identify independent predictors of MACE, which were used to build predictive models. Statistical analyses revealed three independent predictors of MACE: severe stenosis, CT-FFR ≤ 0.8, and mean FAI (P < 0.05). Seven predictive models incorporating various combinations of these predictors were developed. The model combining all three predictors demonstrated superior performance, as evidenced by the receiver operating characteristic (ROC) curve, with an area under the curve (AUC) of 0.811 (95% CI 0.774 - 0.847), a sensitivity of 0.776, and a specificity of 0.726. Our findings suggest that AI-assisted CCTA analysis, particularly using FFR and FAI, could significantly improve the prediction of MACE in CAD patients, thereby potentially aiding clinical decision-making.

The role of microvascular obstruction and intramyocardial hemorrhage in reperfusion injury to the heart

Microvascular obstruction (MVO) of coronary arteries promotes an increase in mortality and major adverse cardiac events in patients with acute myocardial infarction (AMI) and percutaneous coronary intervention (PCI). Intramyocardial hemorrhage (IMH) is observed in 41–50 % of patients with ST-segment elevation myocardial infarction and PCI and is accompanied by inflammation. There is evidence that microthrombi are not involved in the development of MVO, which is associated with infarct size, the duration of ischemia, and myocardial edema. However, there is no conclusive evidence that the latter plays an important role in the development of MVO. There is evidence that platelets, inflammation, Ca2+ overload, neuropeptide Y, and endothelin-1 could be involved in the pathogenesis of MVO. The role of endothelial cell dysfunction in MVO formation in patients with AMI and PCI remains under question. It is unclear whether nitric oxide production is decreased in patients with MVO. It was obtained only indirect evidence on the involvement of inflammation in the development of MVO. The role of reactive oxygen species, necroptosis and pyroptosis in the pathogenesis of MVO is also not studied. The participation of thromboxane A2, vasopressin, and prostacyclin in the formation of MVO is unknown. It was not obtained conclusive evidence on the involvement of coronary artery spasm in the development of MVO. Dual antiplatelet therapy improves the efficacy of PCI in prevention of MVO. It is unknown whether epinephrine or L-type Ca2+-channel blockers improves coronary blood flow in patients with MVO.

Evaluation of time-to-onset and outcome of cardiac adverse events related to pembrolizumab using post-marketing surveillance in Japanese patients.

Pembrolizumab has been widely used in patients since its release, but information on cardiac Adverse Events (AEs) related to pembrolizumab remains lacking, particularly in Japanese populations. This study aims to evaluate time to onset, incidence rates, and outcomes for pembrolizumab-induced cardiac AEs in patients with cancer using the Japanese Adverse Drug Event Report database. We analysed data for the period from April 2004 to March 2022. Data on cardiac AEs were extracted and relative risks of AEs were estimated using the reporting odds ratio. We analysed 2,021,907 reports and identified 15,306 reports of AEs caused by pembrolizumab. Of these, 399 cardiac AEs were associated with pembrolizumab. Signals were detected for six cardiac AEs: myocarditis, immune-mediated myocarditis, pericardial effusion, cardiac tamponade, pericarditis, and pericarditis malignant. A histogram of median times to onset showed occurrence from 33 (21-97) days for immune-mediated myocarditis to 138 (67-168) days for pericarditis malignant, but some cases occurred even more than 1year after the start of administration. Among these, myocarditis was the most frequently reported (27.1%), with fatal cases also reported. This study focused on cardiac AEs caused by pembrolizumab as post-marketing AEs. Patients should be monitored not only at the time of administration, but also over time for signs of these AEs, especially myocarditis, as some patients may have serious outcomes.

Major cardiovascular events in patients with cardiovascular monosodium urate deposits in atherosclerotic plaques.

To determine the association of cardiovascular atherosclerotic plaque monosodium urate deposits with the occurrence of major cardiovascular events in gout and hyperuricemia patients. This retrospective cohort study included patients with clinically suspicion of gout, who performed a dual energy computed tomography of the affected limb and thorax between June 1st, 2012 and December 5th, 2019. Clinical and laboratory parameters were retrieved from patientś charts. Established cardiovascular risk factors were evaluated. Medical history review identified the presence of major adverse cardiac events with a median follow up time of 33 months (range 0-108 months) after the performed computed tomography scan. Full data sets were available for 189 patients: 131 (69.3%) gout patients, 40 (21.2%) hyperuricemia patients, and 18 (9.5%) controls. Patients with cardiovascular monosodium urate deposits (n = 85/189, 45%) revealed increased serum acute phase reactants, uric acid levels and calcium scores in computed tomography compared with patients without cardiovascular monosodium urate deposits. Major adverse cardiac events were observed in 35 patients (18.5%) with a higher prevalence in those patients revealing cardiovascular monosodium urate deposits (n = 22/85, 25.9%) compared with those without cardiovascular monosodium urate deposits (n = 13/104, 12.5%, OR 2.4, p= 0.018). This is the first study demonstrating the higher hazard of major adverse cardiac events in patients with dual energy computed tomography-verified cardiovascular monosodium urate deposits. The higher prevalence of cardiac events in patients with cardiovascular monosodium urate deposits may facilitate risk stratification of gout patients, as classical cardiovascular risk scores or laboratory markers fail in their proper identification.

Porphyromonas gingivalis Infection is Associated with Increased Vascular Inflammation in Patients with and Without Coronary Artery Disease

Vascular inflammation is a critical measure of risk for major adverse cardiac events in patients with and without known coronary artery disease. It is recognized that patients with poor oral hygiene tend to have an increased prevalence of coronary artery disease and myocardial infarction. Porphyromonas gingivalis (PG) is the keystone pathogen leading to periodontal disease. Despite evidence suggesting a link between active PG infection and coronary artery disease, there is limited data investigating whether PG can contribute to increased markers of vascular inflammation in patients with coronary artery disease. In this study, we studied 112 consecutive patients who presented at a community preventive cardiology clinic who consented to be assessed for the presence of PG. Subjects were enrolled in a mouth along assessment with measures of vascular inflammation, which was part of their routine clinical care. The average age of patients was 70.4 ± 8.5 years with 48.6% of the patients positive for PG and 20.5% with a history of coronary artery disease (CAD). The distribution of PG positivity was 48.3% and 34.8% in patients without and with a history of CAD, respectively. Patients with CAD have significantly greater levels of high sensitivity C-reactive protein (hsCRP_ (1.3 ± 0.3 vs. 3.2 ± 1.1 mg/dL, p = 0.04) and MPO (245.1 ± 19.4 vs. 371.4 ± 39.1 pmol/L, p = 0.003). Patients without a history of CAD, only Myeloperoxidase (MPO) was significantly increased. Statin use was significantly greater in those patients with a history of CAD. Interestingly, statin use tended to be greater in PG+ patients (71% vs. 62%) regardless of CAD status. The data from this early study demonstrate a link between active PG infection and increase in markers of vascular inflammation, especially in patients with established CAD. The findings suggest PG as a marker of cardiovascular risk, especially in patients with residual inflammatory risk.

Diagnostic and prognostic performance of artificial intelligence-based fully-automated on-site CT-FFR in patients with CAD

Currently, clinically available coronary CT angiography (CCTA) derived fractional flow reserve (CT-FFR) is time-consuming and complex. We propose a novel artificial intelligence-based fully-automated, on-site CT-FFR technology, which combines the automated coronary plaque segmentation and luminal extraction model with reduced order 3 dimentional (3D) computational fluid dynamics. A total of 463 consecutive patients with 600 vessels from the updated China CT-FFR study in Cohort 1 undergoing both CCTA and invasive fractional flow reserve (FFR) within 90 d were collected for diagnostic performance evaluation. For Cohort 2, a total of 901 chronic coronary syndromes patients with index CT-FFR and clinical outcomes at 3-year follow-up were retrospectively analyzed. In Cohort 3, the association between index CT-FFR from triple-rule-out CTA and major adverse cardiac events in patients with acute chest pain from the emergency department was further evaluated. The diagnostic accuracy of this CT-FFR in Cohort 1 was 0.82 with an area under the curve of 0.82 on a per-patient level. Compared with the manually dependent CT-FFR techniques, the operation time of this technique was substantially shortened by 3 times and the number of clicks from about 60 to 1. This CT-FFR technique has a highly successful (> 99%) calculation rate and also provides superior prediction value for major adverse cardiac events than CCTA alone both in patients with chronic coronary syndromes and acute chest pain. Thus, the novel artificial intelligence-based fully automated, on-site CT-FFR technique can function as an objective and convenient tool for coronary stenosis functional evaluation in the real-world clinical setting.

Predictive Value of Artificial Intelligence-Enabled Electrocardiography in Patients With Takotsubo Cardiomyopathy.

Recent studies have indicated high rates of future major adverse cardiovascular events in patients with Takotsubo cardiomyopathy (TC), but there is no well-established tool for risk stratification. This study sought to evaluate the prognostic value of several artificial intelligence-augmented ECG (AI-ECG) algorithms in patients with TC. This study examined consecutive patients in the prospective and observational Mayo Clinic Takotsubo syndrome registry. Several previously validated AI-ECG algorithms were used for the estimation of ECG- age, probability of low ejection fraction, and probability of atrial fibrillation. Multivariable models were constructed to evaluate the association of AI-ECG and other clinical characteristics with major adverse cardiac events, defined as cardiovascular death, recurrence of TC, nonfatal myocardial infarction, hospitalization for congestive heart failure, and stroke. In the final analysis, 305 patients with TC were studied over a median follow-up of 4.8 years. Patients with future major adverse cardiac events were more likely to be older, have a history of hypertension, congestive heart failure, worse renal function, as well as high-risk AI-ECG findings compared with those without. Multivariable Cox proportional hazards analysis indicated that the presence of 2 or 3 high-risk findings detected by AI-ECG remained a significant predictor of major adverse cardiac events in patients with TC after adjustment by conventional risk factors (hazard ratio, 4.419 [95% CI, 1.833-10.66], P=0.001). The combined use of AI-ECG algorithms derived from a single 12-lead ECG might detect subtle underlying patterns associated with worse outcomes in patients with TC. This approach might be beneficial for stratifying high-risk patients with TC.

Impact of Chronic Kidney Disease on Major Adverse Cardiac Events in Patients with Acute Myocardial Infarction: A Retrospective Cohort Study

Background: Acute Myocardial Infarction (AMI) results in a reduction in patients’ life expectancy. Different risk factors affect the risk of Major Adverse Cardiac Events (MACE). Although the role of kidney dysfunction in patients with Chronic Kidney Disease (CKD) in cardiac events has been identified, many patients with AMI are unaware of their underlying kidney disease. This study aimed to compare the incidence of adverse cardiovascular events and identify predictors of major adverse cardiovascular events in the medium term among patients with and without renal dysfunction following AMI. Methods: This retrospective cohort study was conducted on 1039 patients who were hospitalized for Acute Myocardial Infarction (AMI) between 2018 and 2019. The patient cohort comprised 314 women (mean age: 69.8 ± 13.2 years) and 725 men (mean age: 60.5 ± 13.8 years). Patient data were obtained from the registry of patients with acute myocardial infarction and the participants were followed up for a minimum of one year following hospital discharge to assess the incidence of MACE. Results: The study found that patients with a Glomerular Filtration Rate (GFR) level below 60 had a significantly higher mortality rate than those with a GFR level of 60 or above (15.7% vs. 3.5%, p &lt; 0.0001). The multivariate analysis showed that Diabetes Mellitus (DM), GFR, and Non-ST Elevation Myocardial Infarction (NSTEMI) are significant risk factors for cardiovascular events. (p = 0.016, p = 0.015, p = 0.006 respectively), while variables such as sex, age, and Hypertension (HTN) were not significant risk factors. There was a negative correlation between GFR and death (0.241 - = r, p &lt; 0.0001) Conclusion: This study highlights the importance of detecting kidney disease during an AMI and managing risk factors for cardiovascular disease to improve health outcomes and reduce the risk of mortality.

Serum Remnant Cholesterol Level Predicts Adverse Cardiac Events In Patients With Chronic Heart Failure

Serum Remnant Cholesterol Level Predicts Adverse Cardiac Events In Patients With Chronic Heart Failure

ATF3 coordinates the survival and proliferation of cardiac macrophages and protects against ischemia–reperfusion injury

Cardiac resident MerTK+ macrophages exert multiple protective roles after ischemic injury; however, the mechanisms regulating their fate are not fully understood. In the present study, we show that the GAS6-inducible transcription factor, activating transcription factor 3 (ATF3), prevents apoptosis of MerTK+ macrophages after ischemia–reperfusion (IR) injury by repressing the transcription of multiple genes involved in type I interferon expression (Ifih1 and Ifnb1) and apoptosis (Apaf1). Mice lacking ATF3 in cardiac macrophages or myeloid cells showed excessive loss of MerTK+ cardiac macrophages, poor angiogenesis and worse heart dysfunction after IR, which were rescued by the transfer of MerTK+ cardiac macrophages. GAS6 administration improved cardiac repair in an ATF3-dependent manner. Finally, we showed a negative association of GAS6 and ATF3 expression with the risk of major adverse cardiac events in patients with ischemic heart disease. These results indicate that the GAS6–ATF3 axis has a protective role against IR injury by regulating MerTK+ cardiac macrophage survival and/or proliferation.

Importance of Positive T-wave in Lead aVR and Major Adverse Cardiac Events in Patients with ST Elevation Myocardial Infarction: A Cohort Study

Introduction: It is well known that ST-Segment Elevation Myocardial Infarction (STEMI) is a significant contributor to both illness and death on a global scale. An Electrocardiogram (ECG) is an easily accessible bedside tool for diagnosing acute myocardial infarction. The T wave is usually negative in lead aVR (augmented unipolar right arm lead). However, a positive T wave in lead aVR has been shown to be associated with adverse in-hospital outcomes in patients with Acute Coronary Syndrome (ACS). Aim: To examine whether a positive T wave in lead aVR can be used as an indicator to predict Major Adverse Cardiac Events (MACE) during the hospital stay in patients with STEMI. Materials and Methods: A cohort study was performed at Shri BM Patil Medical College, Hospital and Research Centre, Vijayapura, involving patients admitted with STEMI. A total of 98 newly diagnosed ST-segment elevation patients were classified into two groups: Group A (positive T wave) in lead aVR with an amplitude of ≥ 0 mV, and Group B (negative T wave) in lead aVR with an amplitude of ≤0 mV. The hospital stays of STEMI patients were evaluated for adverse cardiac events. Chi-square test was used to assess relationships between categorical variables. Results: A total of 98 patients were evaluated, among which two were excluded. Hence, among 96 patients considered, 25 were females and 71 were male, with average ages of 57 years in Group A and 55 years in Group B. Among the 96 patients, 34 had positive T waves (35.4%) and 62 had negative T waves (64.5%) in lead aVR. The study revealed significantly higher rates of in-hospital MACE (heart failure, pulmonary oedema, and arrhythmias) in patients with positive T waves (Group A) in lead aVR, with p-values &lt;0.05, which were statistically significant. Conclusion: The present study showed that a positive T wave in lead aVR is a valuable and cost-effective tool for predicting inhospital MACE in patients with STEMI. Utilising this simple and readily available ECG measurement could support clinicians in detecting high-risk patients who require closer monitoring and more aggressive interventions, potentially leading to improved patient outcomes and resource allocation.

Development of a Novel Nomogram to Predict Major Adverse Cardiac Events in Patients with Chronic Total Occlusion.

Objectives: To create a nomogram using single photon emission computed tomography (SPECT) myocardial perfusion imaging and 18F-FDG positron emissions tomography (PET) gated myocardial metabolism imaging to forecast major adverse cardiovascular events (MACE) in chronic total occlusion (CTO) patients treated with optimal medical therapy (OMT). Methods: A total of 257 patients who received OMT between January 2016 and December 2021 were included in this retrospective study. Patients were randomly divided into development (n=179) and validation (n=78) cohorts. A thorough evaluation was conducted, encompassing clinical features and imaging analysis, which involved assessing myocardial perfusion and metabolism. Independent risk factors were identified using least absolute shrinkage and selection operator (LASSO) and multivariate Cox regression analyses. Calibration curves and decision curve analysis (DCA) were used to evaluate the clinical usefulness. Results: In the development cohort, 53 patients (29.6%) experienced MACE out of 179 patients, while in the validation cohort, MACE occurred in 23 (29.5%) patients out of 78. The PET-left ventricular end-systolic volume (P-ESV) (HR 1.01; 95% CI 1.003-1.017; p=0.003), hibernating myocardium / total perfusion defect (HM/TPD) (HR 1.053; 95% CI 1.038-1.069; p<0.001), PET-left ventricular ejection fraction (P-LVEF) (HR 0.862; 95% CI 0.788-0.943; p=0.001), and left anterior descending branch (LAD) (HR 2.303; 95% CI 1.086-4.884; p=0.03) were significantly associated with MACE and were used to develop the nomogram. The nomogram demonstrated excellent discrimination with C-indexes of 0.931 and 0.911 in the development and validation cohorts. DCA determined that the model exhibited a considerably superior net advantage in predicting MACE. Conclusion: A new nomogram integrating clinical factors and imaging features was created to predict the risk of MACE in patients with CTO.

CMR 2-78 - Machine Learning for Prediction of Major Adverse Cardiac Events in Patients with Suspected Cardiomyopathy Using Clinical and Cardiac MRI Variables

CMR 2-78 - Machine Learning for Prediction of Major Adverse Cardiac Events in Patients with Suspected Cardiomyopathy Using Clinical and Cardiac MRI Variables

Comparison of grace, timi risk scores for prediction of major adverse cardiac events in patients with acute myocardial infarction, Vietnam

Acute myocardial infarction (MI) is one of the leading causes of cardiovascular death and can experience many events during illness. Therefore, many risk prediction scales have been established to stratify patients with acute MI, in which TIMI and GRACE scores are common. We conducted this study to compare the predictability of GRACE and TIMI scores in patients with acute MI within 12 months. A prospective cohort study was performed on 195 patients with acute MI, of which 86 patients had ST elevation (STEMI) and 109 patients without ST elevation (NSTEMI). The study looked at five major events including death, coronary re-intervention, bleeding due to drug use, re-hospitalization, and stroke. As a result, the heart rate in the STEMI group was 83.06 ± 14.78, higher than the heart rate of the NSTEMI group at admission (78.59 ± 10.63), the difference was significant with p = 0.015. The study has not shown the predictive effect of GRACE and TIMI scores on the occurrence of events in patients with acute MI within 12 months. However, the study showed that GRACE can better ability to stratify the risk for the group of subjects that had not yet occurred.

Prediction of major adverse cardiac events in patients with multivessel coronary artery disease with an interpretable classification tree model based on coronary computed tomography angiography.

Prediction of major adverse cardiac events in patients with multivessel coronary artery disease with an interpretable classification tree model based on coronary computed tomography angiography.

Serum cystatin C predicts the risk of non-ST-elevation acute coronary syndrome

ObjectiveInflammation markers have been proposed as the predictors of adverse cardiac events in patients with non-ST-elevation acute coronary syndrome (NSTE-ACS). This study aimed to investigate prognostic value of serum cystatin C (Cys-C) for NSTE-ACS patients.MethodsCys-C, neutrophil to lymphocyte ratio (NLR) and high-sensitivity C-reactive protein (hsCRP) were examined in 212 NSTE-ACS patients and 60 controls. Global registry of acute coronary events (GRACE) score and major adverse cardiac events (MACE) in NSTE-ACS patients were recorded.ResultsCys-C level in the serum was significantly higher in NSTE-ACS patients than in control, and was positively correlated with hsCRP level and NLR as well as GRACE score at admission and 6 months after discharge in NSTE-ACS patients. Serum Cys-C level was identified as a new predictor of MACE.ConclusionSerum Cys-C level may be an inflammation biomarker in patients with NSTE-ACS, and could be used as an independent predictor of MACE.

Prevalence of Cannabis Use Disorder and Its Association with Major Adverse Cardiac Events in Patients with Sickle Cell Crisis: Insights from the National Inpatient Sample

Background: Cannabis use has grown in popularity, with the possible therapeutic advantages being widely debated, one of which is in Sickle Cell Crisis (SCC). With increasing surveys reporting overlapping use of recreational and medicinal cannabis and high addiction potential, the aim of this nationwide study is to investigate the relationship between cannabis use disorder (CUD) in SCC patients. Methods: Using ICD-10 codes, the National Inpatient Sample-2020 was utilized to identify adult (&amp;gt;18 years) hospitalized patients due to SCD with and without crisis and further divided into patients with SCC with CUD (SCC+CUD+) and patients with SCC without CUD (SCC+CUD-). The prevalence of CUD in SCC and Major Adverse Cardiac Events [MACE, Acute Myocardial Infarction (AMI); Atrial Fibrillation (AFib) and cardiac arrest] were the primary outcomes; other associated comorbidities, Length of Stay (LOS), and hospitalization costs were secondary outcomes. After examining the baseline features on descriptive analysis, to compare the variables, Pearson's chi-squared test and Mann- Whitney U test were used to compare categorical and continuous data, respectively. Multivariable analyses were performed, controlling covariates, to assess the odds of MACE in the CUD+ vs. CUD- cohort. Results: Out of a total of 77,610 SCC adult hospitalizations, 4,535 (5.8%, p&amp;lt;0.001) had CUD. The median age of hospitalization for the CUD+ cohort was lower (28 years) than for the CUD- cohort (31 years). They were often of black ethnicity (95.8% vs. 95.3%, p=0.03), Medicaid enrollees (55.3% vs. 46.3%, p&amp;lt;0.001), and were hospitalized as non-electively (98.6% vs. 97.5%, p&amp;lt;0.001) to urban teaching hospitals (87% vs. 85.5%, p&amp;lt;0.001) in the Southern (47.7% vs. 53.7%, p&amp;lt;0.001) region. Chronic Pulmonary diseases (29.3% vs. 24.1%, p&amp;lt;0.001), prior venous thromboembolism (21.1% vs. 25.3%, p&amp;lt;0.001), hypertension (17.3% vs. 23.3%, p&amp;lt;0.001) and depression (16.3% vs 13.5%, p&amp;lt;0.001) were the majorly associated comorbidities in both (SCC+CUD+) and (SCC+CUD-) cohorts. On analysis of MACE in SCD patients with crisis; AMI (0.6% vs 0.7%, p=0.28), AFib (0.3% for both, p&amp;lt;0.001), cardiac arrest (0.3% for both, p = 0.89) were comparable in both SCC cohorts with and without CUD, suggesting no significant difference in MACE between these patient groups except for AFib. However, after adjusting for confounders, on multivariable analysis, none of the MACE (AMI: OR=0.85, CI= 0.35-2.05, p=0.71; AFib: OR=0.81, CI= 0.39-1.69, p= 0.57; cardiac arrest: OR = 1.23, CI= 0.39-3.86, p= 0.71) were found to be significant, p&amp;gt;0.05 for all. In (SCC+CUD+) and (SCC+CUD-) patients, there was no difference observed in LOS (4 days in both) and hospitalization costs (USD 29,216 vs. USD 31,604). Conclusion: Our study evaluated the prevalence and association between CUD and its cardiovascular effects during SCC, bringing light on an essential and understudied association in SCC patients while adjusting for other major concomitant mixed substance abuses like tobacco and alcohol. The observed disparities in MACE require further exploration via prospective research to better understand the possible recreational and therapeutic implications of cannabis use in patients with SCC.

Inter-atrial block and atrial fibrillation predict cardiac adverse events in heart failure with preserved ejection fraction

Abstract Background Atrial fibrillation (AF) is a prognostic risk-factor in heart failure with preserved ejection fraction (HFpEF). Earlier stages of atrial dysfunction identified by the ECG, particularly inter-atrial block (IAB), may provide additional risk predictions in HFpEF patients in sinus rhythm. Purpose To assess the prevalence of IAB in patients diagnosed with HFpEF compared to non-HFpEF, and to evaluate the prognostic association of IAB and AF in patients diagnosed with HFpEF. Methods Consecutive symptomatic patients referred for a systematic diagnostic work-up to rule-in or rule-out HFpEF were included. The diagnosis of HFpEF was based on current guidelines (including HFA-PEFF and H2FPEF algorithms) and confirmed by consensus of multiple experienced HF specialists. Patients in whom HFpEF was ruled-out were included as non-HFpEF. We excluded patients with cardiac valve interventions before or up to 1 year after baseline, or with paced rhythm during IAB assessment. ECGs at baseline were assessed in detail for P-wave duration, morphology, and presence of IAB using digital calipers by investigators blinded to clinical data. IAB was defined based on a P-wave duration of &amp;gt;120ms. Patients with HFpEF and non-HFpEF were grouped into either i) AF based on ECG or medical history, ii) IAB based on ECG, or iii) no IAB or AF based on ECG. Adverse events were evaluated only in HFpEF patients and included HF hospitalization, cardiac or sudden death, and a composite of both. Results 372 patients with HFpEF and 68 non-HFpEF were included (females: 67.7% vs. 64.7%, p = 0.726; mean age: 75±7 vs. 67±10 years, p&amp;lt;0.001). AF was more common in HFpEF than non-HFpEF (64.8% vs. 23.5%, p&amp;lt;0.001). In sinus rhythm, presence of IAB was comparable between HFpEF and non-HFpEF (87.0% vs. 80.8%). During a mean follow-up of 3.2±1.6 years in HFpEF patients, more adverse cardiac events were observed when AF was present (23.7%, HR 10.6 [95%CI 1.5-1334.4]) compared to IAB (10.5%, HR 4.2 [95%CI 0.56-542.6]) and no IAB (0%), p = 0.0004 (Figure 1). Pairwise comparisons confirmed these observations: AF vs. IAB p = 0.006, AF vs. no IAB p = 0.031. In HFpEF patients with sinus rhythm, a trend was found for more adverse events when IAB was present versus no IAB (p = 0.06). Conclusion Patients with HFpEF have a higher prevalence of AF and similar prevalence of IAB compared to symptomatic patients ruled-out for HFpEF. Presence of IAB or AF in HFpEF may predispose to adverse cardiac events in patients without severe valve disease. IAB may enrich cardiac risk stratification in addition to AF in HFpEF.Survival curves for no IAB, IAB, and AF

Atherogenic lipid profile in patients with acute coronary syndrome

Abstract Background Adverse atherogenic lipid profile is associated with an increased risk of major adverse cardiac events in patients with acute coronary syndrome (ACS). Objective To evaluate the control status of atherogenic lipid profile among ACS patients within 12 months after discharge. Methods We retrospectively analyzed the data from the multi-center iHeart program. Twenty tertiary hospitals in China were included. Natural language processing technique was used to extract real-world data from electronic health records (EHRs). Patients with a diagnosis of ACS from January 2014 to December 2021 during index hospitalization and having at least one medical record after discharge within 12 months were enrolled. Measurements of total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), non–high-density lipoprotein cholesterol (non-HDL-C), triglycerides (TGs), apolipoprotein B (ApoB), lipoprotein (a) (Lp[a]) at baseline and follow-up were collected and analyzed. Remnant cholesterol (RC) was calculated as TC minus HDL-C minus LDL-C. The treatment goal of LDL-C was defined as &amp;lt;1.8 mmol/L according to the guideline. An even lower LDL-C goal of &amp;lt;1.4 mmol/L was recommended in specific patients at extremely high risk with concomitant diabetes or ischemic cerebral vascular diseases. Results Among the 3956 patients, the mean age was 72 (12) years, and 64.8% were men. Diabetes was common (22.7%). There were 1612 (40.7%) patients with unstable angina, 391(9.9%) patients with non-ST-elevation myocardial infarction, 1146 (29.0%) patients with ST-elevation myocardial infarction, and 807 (20.4%) patients with undetermined ACS category. At baseline, the mean values for TC, LDL-C, HDL-C, non-HDL-C, ApoB, and RC were 4.61 (1.26) mmol/L, 2.83 (0.98) mmol/L, 1.12 (0.30) mmol/L, 3.38 (0.75) mmol/L, 96 (34) mg/dL, and 0.65 (0.56) mmol/L, respectively. The median values for TGs and Lp(a) were 1.44 mmol/L [1.06, 2.00] and 27.22 mg/dL [12.34, 39.2], respectively. The rate of lipid-lowering treatment was 94.8% (statins 93.1%, PCSK9 inhibitors 0.4%). The levels of TC, TGs, LDL-C, HDL-C, non-HDL-C, and ApoB were significantly decreased (P &amp;lt; 0.001) within 12 months. Median Lp(a) was 19.52 mg/dL [8.73, 39.08] (P = 0.117). Mean RC was 0.69 (1.10) mmol/L (P &amp;lt; 0.001). Overall, the proportion of patients achieving the LDL-C level of &amp;lt;1.8 mmol/L at baseline increased from 13.42% to 36.6% during follow-up. In patients with concomitant diabetes or ischemic cerebral vascular diseases, the rate of LDL-C &amp;lt;1.4 mmol/L was 17.79% and 17.52%, respectively. Conclusion Only 1/3 of patients had LDL-C &amp;lt;1.8mmol/L within 12 months after ACS. Despite the high treatment rate of statins, Lp(a) level had no change beyond the reduction in LDL-C. Elevated remnant cholesterol may be a critical contributor to residual risk. Novel therapeutics targeting the whole atherogenic lipid profile will be warranted to improve cardiovascular outcomes.LDL-C control rate within 12 months

Abstract 15158: Prognostic Impact of Right Ventricular-Pulmonary Arterial Coupling Ratio in Patients Undergoing Transcatheter Aortic Valve Replacement

Introduction: Right ventricular (RV) dysfunction is known as an important prognostic factor in heart failure. As reduced RV systolic reserve, RV contractility no longer increases against afterload, resulting in lower ratios of RV function to pulmonary artery (PA) pressure, known as RV-PA coupling ratios. Hypothesis: The assessment of RV-PA coupling ratios provides prognostic information for patients undergoing transcatheter aortic valve replacement (TAVR). Methods and Results: A total of 540 patients with TAVR (age, 84 ± 6 years; 186 men, 354 women) were included in this study. The RV-PA coupling ratio was calculated by dividing the tricuspid annular plane systolic excursion (TAPSE) by the PA systolic pressure (PASP) using transthoracic echocardiography before TAVR. Based on the median TAPSE/PASP (0.584 mm/mmHg), the patients were divided into two groups. Kaplan-Meier analysis demonstrated a higher incidence of adverse cardiac events (cardiac death and heart failure hospitalization) in the group with a low TAPSE/PASP ratio (log-rank test, P &lt;0.001). In multivariate Cox regression analysis, TAPSE/PASP was identified as an independent prognostic parameter (adjusted hazard ratio, 0.259; P = 0.028), whereas neither TAPSE alone nor PASP alone demonstrated any significant prognostic value. Conclusion: The RV-PA coupling ratio serves as a prognostic predictor for adverse cardiac events in patients undergoing TAVR.