Biological Basis and Proposed Mechanism of Action of CSL112 (Apolipoprotein A-I [Human]) for Prevention of Major Adverse Cardiovascular Events in Patients post Myocardial Infarction

2021 ◽  
Vol 242 ◽  
pp. 158
Author(s):  
Syed Hassan A. Kazmi ◽  
Serge Korjian ◽  
Gerald Chi ◽  
Arzu Kalayci ◽  
Jane J. Lee ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Mechanism Of Action ◽  
Cardiovascular Events ◽  
Post Myocardial Infarction ◽  
Major Adverse Cardiovascular Events ◽  
Biological Basis ◽  
Apolipoprotein A

scholarly journals Usefulness of serial post-systolic shortening by speckle tracking echocardiography to predict major adverse cardiovascular events and segmental function improvement after acute myocardial infarction

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0244589
Author(s):  
Ju-Feng Hsiao ◽  
Kuo-Li Pan ◽  
Chi-Ming Chu ◽  
Shih-Tai Chang ◽  
Chang-Min Chung ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Cardiovascular Events ◽  
Speckle Tracking ◽  
Wall Motion ◽  
Speckle Tracking Echocardiography ◽  
Regional Wall Motion ◽  
Post Myocardial Infarction ◽  
Major Adverse Cardiovascular Events ◽  
Segmental Function

Purpose The aim is to determine whether serial post-systolic shortening (PSS) using speckle tracking echocardiography (STE) could predict major adverse cardiovascular events (MACE), especially symptom-driven infarct-related artery (IRA) revascularization and improvement in segmental function in post-myocardial infarction patients. Methods/Results Ninety-four patients (average age 61.1 ± 12.5 y, 84 [84.9%] male) with new-onset acute myocardial infarction were enrolled. Serial echocardiography was performed during the initial presentation, and at 3, 6 and 12 months after admission. PSS, strain and systolic strain rate were calculated using STE. Improvement in segmental function was defined as a decrease of ≧1 grade in wall motion score. During the follow-up (29.4 ± 12.7months), 22 patients (23.4%) had MACE and 17 patients had symptom-driven IRA revascularization. In multivariate model, PSS at 3 months was independently predictive for symptom-driven IRA revascularization (Hazard ratio (HR) = 0.5, 95% CI = 0.26–0.97) and for MACE (HR = 0.4, 95% CI = 0.24–0.67) (p < 0.05). Segmental function improvements were found in 255 segments (66.1%) and ROC curve analyses showed that AUC (95% CI) of the initial PSS was 0.7(0.65–0.77) (cut-off values = -1.08, sensitivity = 58%, specificity = 73% specificity). Conclusions Post-systolic shortening at 3 months is an independent predictor for symptom-driven IRA revascularization and MACE. Regional wall motion recovery also could be predicted by initial PSS. Serial assessment of two-dimensional STE should be investigated in post-myocardial infarction patients in the future.

Abstract P019: A Single Model For Predicting Major Adverse Cardiovascular Events In Individuals With And Without History Of Atherosclerotic Cardiovascular Disease: The Atherosclerosis Risk In Communities (aric) Study

Circulation ◽  
2021 ◽  
Vol 143 (Suppl_1) ◽  
Author(s):  
Yejin Mok ◽  
Lena Mathews ◽  
Ron C Hoogeveen ◽  
Michael J Blaha ◽  
Christie M Ballantyne ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Cardiovascular Disease ◽  
High Risk ◽  
Risk Stratification ◽  
Cardiovascular Events ◽  
Major Adverse Cardiovascular Events ◽  
Atherosclerotic Cardiovascular Disease ◽  
Single Model ◽  
History Of ◽  
Very High

Background: In the 2018 AHA/ACC Cholesterol guideline, risk stratification is an essential element. The use of a Pooled Cohort Equation (PCE) is recommended for individuals without atherosclerotic cardiovascular disease (ASCVD), and the new dichotomous classification of very high-risk vs. high-risk has been introduced for patients with ASCVD. These distinct risk stratification systems mainly rely on traditional risk factors, raising the possibility that a single model can predict major adverse cardiovascular events (MACEs) in persons with and without ASCVD. Methods: We studied 11,335 ARIC participants with (n=885) and without (n=10,450) a history of ASCVD (myocardial infarction, ischemic stroke, and symptomatic peripheral artery disease) at baseline (1996-98). We modeled factors in the PCE and the new classification for ASCVD patients (Figure legend) in a single CVD prediction model. We examined their associations with MACEs (myocardial infarction, stroke, and heart failure) using Cox models and evaluated the discrimination and calibration for a single model including those factors. Results: During a median follow-up of 18.4 years, there were 3,658 MACEs (3,105 in participants without ASCVD). In general, the factors in the PCE and the risk classification system for ASCVD patients were associated similarly with MACEs regardless of baseline ASCVD status, although age and systolic blood pressure showed significant interactions. A single model with these predictors and the relevant interaction terms showed good calibration and discrimination for those with and without ASCVD (c-statistic=0.729 and 0.704, respectively) (Figure). Conclusion: A single CVD prediction model performed well in persons with and without ASCVD. This approach will provide a specific predicted risk to ASCVD patients (instead of dichotomy of very high vs. high risk) and eliminate a practice gap between primary vs. secondary prevention due to different risk prediction tools.

scholarly journals EFFECTIVENESS OF TICAGRELOR COMPARED TO CLOPIDOGREL IN REDUCING THE RISK OF MAJOR ADVERSE CARDIOVASCULAR EVENTS IN PATIENTS WITH CORONARY HEART DISEASE AFTER PERCUTANEOUS CORONARY INTERVENTION

2017 ◽  
Vol 9 (9) ◽  
pp. 178 ◽  
Author(s):  
Hendra Wana Nur’amin ◽  
Iwan Dwiprahasto ◽  
Erna Kristin
Keyword(s):  
Myocardial Infarction ◽  
Coronary Heart Disease ◽  
Percutaneous Coronary Intervention ◽  
Heart Disease ◽  
Cardiovascular Events ◽  
Coronary Intervention ◽  
Population Based ◽  
Major Adverse Cardiovascular Events ◽  
Repeat Revascularization ◽  
Percutaneous Coronary

Objective: Antiplatelet therapy is recommended in patients with coronary heart disease (CHD) who had the percutaneous coronary intervention (PCI) procedure to reduce major adverse cardiovascular events (MACE). There has been a lack of population-based studies that showed the superior effectiveness of ticagrelor over clopidogrel and similar studies have not been conducted in Indonesia yet. The aim of the study was to investigate the effectiveness of ticagrelor compared to clopidogrel in reducing the risk of MACE in patients with CHD after PCI.Methods: A retrospective cohort study with 1-year follow-up was conducted. 361 patients consisted of 111 patients with ticagrelor exposure and 250 patients with clopidogrel exposure. The primary outcome was MACE, defined as a composite of repeat revascularization, myocardial infarction, or all-cause death. The association between antiplatelet exposure and the MACE was analyzed with Cox proportional hazard regression, adjusted for sex, age, comorbid, PCI procedures and concomitant therapy.Results: MACE occurred in 22.7% of the subjects. Clopidogrel had a significantly higher risk of MACE compared with ticagrelor (28.8%, vs 9.0%, hazard ratio (HR): 1.96 (95% CI 1.01 to 3.81, p=0.047). There were no significant differences in risk of repeat revascularization (20.40% vs 5.40%, HR: 2.32, 95% CI 0.99 to 5.42, p = 0.05), myocardial infarction (11.60% vs 3.60%, HR: 2.08, 95% CI, 0.73 to 5.93, p = 0.17), and death (1.60% vs 1.80%, HR: 0.77, 95% CI, 0.14 to 4.25, p = 0.77).Conclusion: Clopidogrel had a higher risk of MACE compared to clopidogrel in patients with CHD after PCI, but there were no significant differences in the risk of repeat revascularization, myocardial infarction, and all-cause death. 

P6424The association between long-term beta-blocker use and outcome in a contemporary large-scale cohort of patients with acute myocardial infarction

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
C X Song ◽  
R Fu ◽  
J G Yang ◽  
K F Dou ◽  
Y J Yang
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Beta Blocker ◽  
Cardiovascular Events ◽  
Beta Blockers ◽  
Left Ventricular Ejection ◽  
Major Adverse Cardiovascular Events ◽  
Baseline Characteristics

Abstract Background Controversy exists regarding the use of beta-blockers (BBs) among patients with acute myocardial infarction (AMI) in contemporary reperfusion era. Previous studies predominantly focused on beta-blockers prescribed at discharge, and the effect of long-term adherence to beta-blocker on major adverse cardiovascular events (MACE) remains unclear. Objective To explore the association between long-term beta-blocker use patterns and MACE among contemporary AMI patients. Methods We enrolled 7860 patients with AMI, who were discharged alive and prescribed with BBs based on CAMI registry from January 2013 to September 2014. Patients were divided into two groups according to BBs use pattern: Always users group (n=4476) were defined as patients reporting BBs use at both 6- and 12-month follow-up; Inconsistent users group were defined as patients reporting at least once not using BBs at 6- or 12-month follow-up. Primary outcome was defined as MACE at 24-month follow-up, including all-cause death, non-fatal MI and repeat-revascularization. Multivariable cox proportional hazards regression model was used to assess the association between BBs and MACE. Results Baseline characteristics are shown in table 1. At 2-year follow-up, 518 patients in inconsistent users group (15.6%) and 548 patients in always users group (12.3%) had MACE. After multivariable adjustment, inconsistent use of BBs was associated with higher risk of MACE (HR: 1.323, 95% CI: 1.171–1.493, p<0.001). Table 1 Baseline characteristics Variable Always user (N=4476) Inconsistent user (N=3384) P value Age (years) 60.6±12.0 61.2±12.2 <0.001 Male 3381 (75.7%) 2461 (74.3%) 0.084 Diabetes 892 (20.0%) 610 (18.4%) 0.003 Hypertension 2372 (53.2%) 1543 (46.6%) <0.001 Dyslipidemia 244 (5.5%) 126 (3.8%) <0.001 Prior myocardial infarction 351 (7.9%) 232 (7.0%) <0.001 Heart failure 88 (2.0%) 63 (1.9%) <0.001 Chronic obstructive pulmonary disease 66 (1.5%) 60 (1.8%) <0.001 Current smoker 2054 (46.1%) 1579 (47.8%) 0.179 Left ventricular ejection fraction (%) 53.7±11.48 54.0±10.9 <0.001 Major Adverse Cardiovascular Events 548 (12.3%) 518 (15.6%) <0.001 Conclusions Our results showed consistent BBs use was associated with reduced risk of MACE among patients with AMI managed by contemporary treatment. Acknowledgement/Funding CAMS Innovation Fund for Medical Sciences (CIFMS) (2016-I2M-1-009)

scholarly journals Comparison of In-hospital Major Adverse Cardiovascular Events in Patients of Acute Inferior Myocardial Infarction With or Without Precordial ST Segment Depression

2017 ◽  
pp. 180-9
Author(s):  
Jaya Suganti ◽  
Abdullah Afif Siregar ◽  
Harris Hasan
Keyword(s):  
Myocardial Infarction ◽  
Cardiovascular Events ◽  
Multiple Logistic Regression Analysis ◽  
Major Adverse Cardiovascular Events ◽  
Bivariate Analysis ◽  
P Value ◽  
Inferior Myocardial Infarction ◽  
St Segment ◽  
Increased Risk ◽  
Acute Inferior Myocardial Infarction

Background: The clinical implications of precordial ST segment depression (PSTD) during acute inferior myocardial infarction has been an area of debate, and still under investigation with conflicting results. Based on previous studies, the presence of PSTD defines a high risk subset of patients with acute inferior myocardial infarction due to a more extensive myocardial ischemia that lead to a higher incidence of major adverse cardiovascular events (MACE). Despite of these results, others still considered this ECG finding as a benign electrical phenomenon. The aim of this study is to compare the incidence of in-hospital MACE in patients of acute inferior myocardial infarction with or without PSTD and to know whether PSTD can be used as a predictor of in-hospital MACE in acute inferior myocardial infarction.Methods: A total of 96 acute inferior myocardial infarction patients admitted from December 2013-2015 at Cardiology Department of Haji Adam Malik General Hospital were retrospectively analyzed. Patients were divided into two groups based on the presence of PSTD on admission ECG. Bivariate and multivariate analyses were performed to study the association between PSTD and in-hospital MACE, p value<0.05 was considered statistically significant.Results: The bivariate analysis showed that in-hospital MACE was significantly higher in patients of acute inferior myocardial infarction with PSTD than without PSTD (92% vs 8%, p<0.001). On multiple logistic regression analysis, patients of acute inferior myocardial infarction with PSTD have a 5.4 fold increased risk of in-hospital MACE than patients without PSTD (OR 5.480; 95% CI 1.759-17.067, p=0.003).Conclusion: The presence of precordial ST segment depression on admission ECG in acute inferior myocardial infarction patients was associated with a higher in-hospital MACE and was an independent predictor of in-hospital MACE.

scholarly journals A soft voting ensemble classifier for early prediction and diagnosis of occurrences of major adverse cardiovascular events for STEMI and NSTEMI during 2-year follow-up in patients with acute coronary syndrome

PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0249338
Author(s):  
Syed Waseem Abbas Sherazi ◽  
Jang-Whan Bae ◽  
Jong Yun Lee
Keyword(s):  
Myocardial Infarction ◽  
Cardiovascular Events ◽  
Ensemble Classifier ◽  
Major Adverse Cardiovascular Events ◽  
Test Dataset ◽  
St Segment Elevation ◽  
Segment Elevation Myocardial Infarction ◽  
Complete Dataset ◽  
St Segment

Objective Some researchers have studied about early prediction and diagnosis of major adverse cardiovascular events (MACE), but their accuracies were not high. Therefore, this paper proposes a soft voting ensemble classifier (SVE) using machine learning (ML) algorithms. Methods We used the Korea Acute Myocardial Infarction Registry dataset and selected 11,189 subjects among 13,104 with the 2-year follow-up. It was subdivided into two groups (ST-segment elevation myocardial infarction (STEMI), non ST-segment elevation myocardial infarction NSTEMI), and then subdivided into training (70%) and test dataset (30%). Third, we selected the ranges of hyper-parameters to find the best prediction model from random forest (RF), extra tree (ET), gradient boosting machine (GBM), and SVE. We generated each ML-based model with the best hyper-parameters, evaluated by 5-fold stratified cross-validation, and then verified by test dataset. Lastly, we compared the performance in the area under the ROC curve (AUC), accuracy, precision, recall, and F-score. Results The accuracies for RF, ET, GBM, and SVE were (88.85%, 88.94%, 87.84%, 90.93%) for complete dataset, (84.81%, 85.00%, 83.70%, 89.07%) STEMI, (88.81%, 88.05%, 91.23%, 91.38%) NSTEMI. The AUC values in RF were (98.96%, 98.15%, 98.81%), ET (99.54%, 99.02%, 99.00%), GBM (98.92%, 99.33%, 99.41%), and SVE (99.61%, 99.49%, 99.42%) for complete dataset, STEMI, and NSTEMI, respectively. Consequently, the accuracy and AUC in SVE outperformed other ML models. Conclusions The performance of our SVE was significantly higher than other machine learning models (RF, ET, GBM) and its major prognostic factors were different. This paper will lead to the development of early risk prediction and diagnosis tool of MACE in ACS patients.

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