scholarly journals Radiomics Detection of Pulmonary Hypertension via Texture-Based Assessments of Cardiac MRI: A Machine-Learning Model Comparison—Cardiac MRI Radiomics in Pulmonary Hypertension

2021 ◽  
Vol 10 (9) ◽  
pp. 1921
Author(s):  
Sarv Priya ◽  
Tanya Aggarwal ◽  
Caitlin Ward ◽  
Girish Bathla ◽  
Mathews Jacob ◽  
...  
Keyword(s):  
Pulmonary Hypertension ◽  
Feature Selection ◽  
Left Ventricle ◽  
Subgroup Analysis ◽  
Cardiac Mri ◽  
Model Performance ◽  
Texture Features ◽  
Left Ventricular ◽  
Left Ventricular Ejection ◽  
Primary Analysis

The role of reliable, non-invasive imaging-based recognition of pulmonary hypertension (PH) remains a diagnostic challenge. The aim of the current pilot radiomics study was to assess the diagnostic performance of cardiac MRI (cMRI)-based texture features to accurately predict PH. The study involved IRB-approved retrospective analysis of cMRIs from 72 patients (42 PH and 30 healthy controls) for the primary analysis. A subgroup analysis was performed including patients from the PH group with left ventricle ejection fraction ≥ 50%. Texture features were generated from mid-left ventricle myocardium using balanced steady-state free precession (bSSFP) cine short-axis imaging. Forty-five different combinations of classifier models and feature selection techniques were evaluated. Model performance was assessed using receiver operating characteristic curves. A multilayer perceptron model fitting using full feature sets was the best classifier model for both the primary analysis (AUC 0.862, accuracy 78%) and the subgroup analysis (AUC 0.918, accuracy 80%). Model performance demonstrated considerable variation between the models (AUC 0.523–0.918) based on the chosen model–feature selection combination. Cardiac MRI-based radiomics recognition of PH using texture features is feasible, even with preserved left ventricular ejection fractions.

scholarly journals Title: Cardiac MRI derived radiomics based machine learning (ML) models in identifying pulmonary hypertension (PH)- Impact of segmentation, radiomics side experiments and DAFIT approach on model performance

2021 ◽  
Author(s):  
Sarv Priya ◽  
Tanya Aggarwal ◽  
Caitlin Ward ◽  
Girish Bathla ◽  
Mathews Jacob ◽  
...  
Keyword(s):  
Machine Learning ◽  
Pulmonary Hypertension ◽  
Feature Selection ◽  
Subgroup Analysis ◽  
Cardiac Mri ◽  
Model Performance ◽  
Poor Performance ◽  
Superior Performance ◽  
Feature Filtering ◽  
The Impact

Abstract Side experiments are performed on radiomics models to improve their reproducibility. We measure the impact of myocardial masks, radiomic side experiments and data augmentation for information transfer (DAFIT) approach to differentiate patients with and without pulmonary hypertension (PH) using cardiac MRI (CMRI) derived radiomics. Feature extraction was performed from the left ventricle (LV) and right ventricle (RV) myocardial masks using CMRI in 82 patients (42 PH and 40 controls). Various side study experiments were evaluated: Original data without and with intraclass correlation (ICC) feature-filtering and DAFIT approach (without and with ICC feature-filtering). Multiple machine learning and feature selection strategies were evaluated. Primary analysis included all PH patients with subgroup analysis including PH patients with preserved LVEF (≥ 50%). For both primary and subgroup analysis, DAFIT approach without feature-filtering was the highest performer (AUC 0.957–0.958). ICC approaches showed poor performance compared to DAFIT approach. The performance of combined LV and RV masks was superior to individual masks alone. There was variation in top performing models across all approaches (AUC 0.862–0.958). DAFIT approach with features from combined LV and RV masks provide superior performance with poor performance of feature filtering approaches. Model performance varies based upon the feature selection and model combination.

scholarly journals Radiomics side experiments and DAFIT approach in identifying pulmonary hypertension using Cardiac MRI derived radiomics based machine learning models

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Sarv Priya ◽  
Tanya Aggarwal ◽  
Caitlin Ward ◽  
Girish Bathla ◽  
Mathews Jacob ◽  
...  
Keyword(s):  
Machine Learning ◽  
Pulmonary Hypertension ◽  
Feature Selection ◽  
Subgroup Analysis ◽  
Cardiac Mri ◽  
Intraclass Correlation ◽  
Poor Performance ◽  
Superior Performance ◽  
Feature Filtering ◽  
The Impact

AbstractSide experiments are performed on radiomics models to improve their reproducibility. We measure the impact of myocardial masks, radiomic side experiments and data augmentation for information transfer (DAFIT) approach to differentiate patients with and without pulmonary hypertension (PH) using cardiac MRI (CMRI) derived radiomics. Feature extraction was performed from the left ventricle (LV) and right ventricle (RV) myocardial masks using CMRI in 82 patients (42 PH and 40 controls). Various side study experiments were evaluated: Original data without and with intraclass correlation (ICC) feature-filtering and DAFIT approach (without and with ICC feature-filtering). Multiple machine learning and feature selection strategies were evaluated. Primary analysis included all PH patients with subgroup analysis including PH patients with preserved LVEF (≥ 50%). For both primary and subgroup analysis, DAFIT approach without feature-filtering was the highest performer (AUC 0.957–0.958). ICC approaches showed poor performance compared to DAFIT approach. The performance of combined LV and RV masks was superior to individual masks alone. There was variation in top performing models across all approaches (AUC 0.862–0.958). DAFIT approach with features from combined LV and RV masks provide superior performance with poor performance of feature filtering approaches. Model performance varies based upon the feature selection and model combination.

New Hybrid Method for Left Ventricular Ejection Fraction Assessment from Radionuclide Ventriculography Images

2020 ◽  
Vol 16 ◽  
Author(s):  
Halima Dziri ◽  
Mohamed Ali Cherni ◽  
Dorra Ben Sellem
Keyword(s):  
Left Ventricular Ejection Fraction ◽  
Left Ventricle ◽  
Ejection Fraction ◽  
Positive Predictive Value ◽  
Roc Curve ◽  
Radionuclide Ventriculography ◽  
Left Ventricular ◽  
The Other ◽  
Left Ventricular Ejection ◽  
Ventricular Ejection Fraction

Background: In this paper, we propose a new efficient method of radionuclide ventriculography image segmentation to estimate the left ventricular ejection fraction. This parameter is an important prognostic factor for diagnosing abnormal cardiac function. Methods: The proposed method combines the Chan-Vese and the mathematical morphology algorithms. It was applied to diastolic and systolic images obtained from the Nuclear Medicine Department of Salah AZAIEZ Institute.In order to validate our proposed method, we compare the obtained results to those of two methods of the literature. The first one is based on mathematical morphology, while the second one uses the basic Chan-Vese algorithm. To evaluate the quality of segmentation, we compute accuracy, positive predictive value and area under the ROC curve. We also compare the left ventricle ejection fraction estimated by our method to that of the reference given by the software of the gamma-camera and validated by the expert, using Pearson’s correlation coefficient, ANOVA test and linear regression. Results and conclusion: Static results show that the proposed method is very efficient in the detection of the left ventricle. The accuracy was 98.60%, higher than that of the other two methods (95.52% and 98.50%). Likewise, the positive predictive value was the highest (86.40% vs. 83.63% 71.82%). The area under the ROC curve was also the most important (0.998% vs. 0.926% 0.919%). On the other hand, Pearson's correlation coefficient was the highest (99% vs. 98% 37%). The correlation was significantly positive (p<0.001).

scholarly journals The Use of Artificial Hypoxia in Endurance Training in Patients after Myocardial Infarction

2021 ◽  
Vol 18 (4) ◽  
pp. 1633 ◽  
Author(s):  
Agata Nowak-Lis ◽  
Tomasz Gabryś ◽  
Zbigniew Nowak ◽  
Paweł Jastrzębski ◽  
Urszula Szmatlan-Gabryś ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Left Ventricle ◽  
Endurance Training ◽  
Exercise Tolerance ◽  
Collateral Circulation ◽  
Left Ventricular ◽  
Left Ventricular Ejection ◽  
Test Duration ◽  
Hemodynamic Parameters ◽  
Ventricular Ejection Fraction

The presence of a well-developed collateral circulation in the area of the artery responsible for the infarction improves the prognosis of patients and leads to a smaller area of infarction. One of the factors influencing the formation of collateral circulation is hypoxia, which induces angiogenesis and arteriogenesis, which in turn cause the formation of new vessels. The aim of this study was to assess the effect of endurance training conducted under normobaric hypoxia in patients after myocardial infarction at the level of exercise tolerance and hemodynamic parameters of the left ventricle. Thirty-five patients aged 43–74 (60.48 ± 4.36) years who underwent angioplasty with stent implantation were examined. The program included 21 training units lasting about 90 min. A statistically significant improvement in exercise tolerance assessed with the cardiopulmonary exercise test (CPET) was observed: test duration (p < 0.001), distance covered (p < 0.001), HRmax (p = 0.039), maximal systolic blood pressure (SBPmax) (p = 0.044), peak minute ventilation (VE) (p = 0.004) and breathing frequency (BF) (p = 0.044). Favorable changes in left ventricular hemodynamic parameters were found for left ventricular end-diastolic dimension LVEDD (p = 0.002), left ventricular end-systolic dimension LVESD (p = 0.015), left ventricular ejection fraction (LVEF) (p = 0.021), lateral e’ (p < 0.001), septal e’ (p = 0.001), and E/A (p = 0.047). Endurance training conducted in hypoxic conditions has a positive effect on exercise tolerance and the hemodynamic indicators of the left ventricle.

Left ventricular remodeling: is there a real impact of cardiac rehabilitation?

2021 ◽  
Vol 28 (Supplement_1) ◽  
Author(s):  
NPD Cunha ◽  
I Aguiar-Ricardo ◽  
T Rodrigues ◽  
P Silverio Antonio ◽  
S Couto Pereira ◽  
...  
Keyword(s):  
Exercise Training ◽  
Left Ventricle ◽  
Cardiac Rehabilitation ◽  
Phase Ii ◽  
Left Ventricular ◽  
Cardiac Resynchronization ◽  
Left Ventricular Ejection ◽  
Ventricular Ejection Fraction ◽  
Ischemic Disease ◽  
The Impact

Abstract Funding Acknowledgements Type of funding sources: None. Introduction A number of randomized controlled trials have examined the effect of exercise training on left ventricle (LV) remodeling in individuals with cardiovascular disease. However, the results of these trials have been inconclusive.  Purpose Evaluation of the impact of a cardiac rehabilitation program (CRP) on left ventricle remodelling evaluated by echocardiogram.  Methods Observational single centre study including consecutive patients, undergoing structured CRP since June 2016 until February 2020. Phase II CRP included 3 months of exercise training, aerobic and strength exercise, individually prescribed, 3 times a week, 60 minutes sessions. All patients were submitted to a clinical evaluation, echocardiogram, and cardiopulmonary exercise test before and after the CRP. Results 205 patients (62.6 ± 11 years, 83.4% men, 82.3% ischemic disease) were included in a phase II CRP. Most patients had ischemic disease (82.3%) and 23.5% of patients had left ventricular ejection fraction (LVEF) &lt;40%. Of the cardiovascular risk factors, hypertension was the most prevalent (76%), followed by dyslipidaemia (67.4%), active smoking (45.9%) and diabetes (26.9%).  After the CRP, there was a significant improvement of LVEF (from 48.3 ± 13 to 52 ± 11.6 %, p = 0.001) and a significant reduction of LV volumes (LV end-diastolic volume, LVEDV , decreased from 140 ± 81 to 121 ± 57, p = 0.002; LV end-systolic volume , LVESV , reduced from 80 ± 75 to 64 ± 48, p = 0.004). Considering only the patients with LVEF &lt; 40% (n = 38), the improvement was even greater: LVEF increased from 30 ± 8 to 39 ± 13 (p = 0.002); LVEDV reduced from 206 ± 107 to 159 ± 81 (p = 0.001) and LVESV reduced from 142 ± 99 to 101 ± 66 (p = 0.002). 63.6%(n = 14) of these patients improved at least 10% of LVEF and only 1 of them had a cardiac resynchronization therapy device.  Conclusions A phase II CR program was associated with significant improvements in left ventricular reverse remodelling irrespective of baseline EF classification. Those with reduced baseline EF derived an even greater improvement, highlighting the great importance of CR in this subgroup of patients.

scholarly journals Left ventricular noncompaction—a rare cause of triad: heart failure, ventricular arrhythmias, and systemic embolic events: a case report 

2021 ◽  
Vol 15 (1) ◽  
Author(s):  
Despina Toader ◽  
Alina Paraschiv ◽  
Petrișor Tudorașcu ◽  
Diana Tudorașcu ◽  
Constantin Bataiosu ◽  
...  
Keyword(s):  
Heart Failure ◽  
Cardiac Magnetic Resonance ◽  
Magnetic Resonance ◽  
Left Ventricle ◽  
Ventricular Arrhythmias ◽  
Left Ventricular ◽  
Left Ventricular Ejection ◽  
Left Ventricular Noncompaction ◽  
Ventricular Noncompaction ◽  
The Right

Abstract Background Left ventricular noncompaction is a rare cardiomyopathy characterized by a thin, compacted epicardial layer and a noncompacted endocardial layer, with trabeculations and recesses that communicate with the left ventricular cavity. In the advanced stage of the disease, the classical triad of heart failure, ventricular arrhythmia, and systemic embolization is common. Segments involved are the apex and mid inferior and lateral walls. The right ventricular apex may be affected as well. Case presentation A 29-year-old Caucasian male was hospitalized with dyspnea and fatigue at minimal exertion during the last months before admission. He also described a history of edema of the legs and abdominal pain in the last weeks. Physical examination revealed dyspnea, pulmonary rales, cardiomegaly, hepatomegaly, and splenomegaly. Electrocardiography showed sinus rhythm with nonspecific repolarization changes. Twenty-four-hour Holter monitoring identified ventricular tachycardia episodes with right bundle branch block morphology. Transthoracic echocardiography at admission revealed dilated left ventricle with trabeculations located predominantly at the apex but also in the apical and mid portion of lateral and inferior wall; end-systolic ratio of noncompacted to compacted layers > 2; moderate mitral regurgitation; and reduced left ventricular ejection fraction. Between apical trabeculations, multiple thrombi were found. The right ventricle had normal morphology and function. Speckle-tracking echocardiography also revealed systolic left ventricle dysfunction and solid body rotation. Abdominal echocardiography showed hepatomegaly and splenomegaly. Abdominal computed tomography was suggestive for hepatic and renal infarctions. Laboratory tests revealed high levels of N-terminal pro-brain natriuretic peptide and liver enzymes. Cardiac magnetic resonance evaluation at 1 month after discharge confirmed the diagnosis. The patient received anticoagulants, antiarrhythmics, and heart failure treatment. After 2 months, before device implantation, he presented clinical improvement, and echocardiographic evaluation did not detect thrombi in the left ventricle. Coronary angiography was within normal range. A cardioverter defibrillator was implanted for prevention of sudden cardiac death. Conclusions Left ventricular noncompaction is rare cardiomyopathy, but it should always be considered as a possible diagnosis in a patient hospitalized with heart failure, ventricular arrhythmias, and systemic embolic events. Echocardiography and cardiac magnetic resonance are essential imaging tools for diagnosis and follow-up.

Abstract 17311: Ventricular Arrhythmias and Fibrosis in Patients With Heart Failure and Preserved Ejection Fraction

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Natasha Cuk ◽  
Jae H Cho ◽  
Donghee Han ◽  
Joseph E Ebinger ◽  
Eugenio Cingolani
Keyword(s):  
Heart Failure ◽  
Ejection Fraction ◽  
Cardiac Mri ◽  
Ventricular Arrhythmias ◽  
Left Ventricular ◽  
Left Ventricular Ejection ◽  
Preserved Ejection Fraction ◽  
Ventricular Ejection Fraction ◽  
Patients With Heart Failure ◽  
Ventricular Fibrosis

Introduction: Sudden death due to ventricular arrhythmias (VA) is one of the main causes of mortality in patients with heart failure and preserved ejection fraction (HFpEF). Ventricular fibrosis in HFpEF has been suspected as a substrate of VA, but the degree of fibrosis has not been well characterized. Hypothesis: HFpEF patients with increased degree of fibrosis will manifest more VA. Methods: Cedars-Sinai medical records were probed using Deep 6 artificial intelligence data extraction software to identify patients with HFpEF who underwent cardiac magnetic resonance imaging (MRI). MRI of identified patients were reviewed to measure extra-cellular volume (ECV) and degree of fibrosis. Ambulatory ECG monitoring (Ziopatch) of those patients were also reviewed to study the prevalence of arrhythmias. Results: A total of 12 HFpEF patients who underwent cardiac MRI were identified. Patients were elderly (mean age 70.3 ± 7.1), predominantly female (83%), and overweight (mean BMI 32 ± 9). Comorbidities included hypertension (83%), dyslipidemia (75%), and coronary artery disease (67%). Mean left ventricular ejection fraction by echocardiogram was 63 ± 8.7%. QTc as measured on ECG was not significantly prolonged (432 ± 15 ms). ECV was normal in those patients for whom it was available (24.2 ± 3.1, n = 9) with 3/12 patients (25%) demonstrating ventricular fibrosis by MRI (average burden of 9.6 ± 5.9%). Ziopatch was obtained in 8/12 patients (including all 3 patients with fibrosis) and non-sustained ventricular tachycardia (NSVT) was identified in 5/8 (62.5%). One patient with NSVT and without fibrosis on MRI also had a sustained VA recorded. In those patients who had Ziopatch monitoring, there was no association between presence of fibrosis and NSVT (X2 = 0.035, p = 0.85). Conclusions: Ventricular fibrosis was present in 25% of HFpEF patients in this study and NSVT was observed in 62.5% of those patients with HFpEF who had Ziopatch monitoring. The presence of fibrosis by Cardiac MRI was not associated with NSVT in this study; however, the size of the cohort precludes broadly generalizable conclusions about this association. Further investigation is required to better understand the relationship between ventricular fibrosis by MRI and VA in patients with HFpEF.

COVID-19-associated myocarditis: single center experience of pathogenetic treatment

2021 ◽  
Vol 28 (3) ◽  
pp. 9-19
Author(s):  
V. M. Kovalenko ◽  
E. G. Nesukay ◽  
N. S. Titova ◽  
S. V. Cherniuk ◽  
R. M. Kirichenko ◽  
...  
Keyword(s):  
Left Ventricular Ejection Fraction ◽  
Left Ventricle ◽  
Ejection Fraction ◽  
Proinflammatory Cytokines ◽  
Left Ventricular ◽  
Ventricular Ejection ◽  
Glucocorticoid Therapy ◽  
Volume Index ◽  
Left Ventricular Ejection ◽  
Ventricular Ejection Fraction

The aim – to evaluate the effectiveness of glucocorticoid therapy in patients with myocarditis with reduced left ventricular ejection fraction that developed after COVID-19 infection.Materials and methods. The results of glucocorticoid therapy in 32 patients aged (35.2±2.3) years with acute myocarditis after COVID-19 infection and left ventricular ejection fraction < 40 % are presented. All patients were prescribed a 3-month course of methylprednisolone at a daily dose of 0.25 mg/kg, followed by a gradual dose reduction of 1 mg per week until complete withdrawal 6 months after the start of treatment.Results and discussion. The analysis of the results of the examinations was performed in the 1st month from the onset of myocarditis to the appointment of glucocorticoids and after 6 months of observation. Six months later, the end-diastolic volume index decreased by 18.5 %, the left ventricular ejection fraction increased by 23.8 %, and the longitudinal global systolic straine increased by 39.8 %. On cardiac MRI, the number of left ventricular segments affected by inflammatory changes decreased from 6.22±0.77 to 2.89±0.45 segments, and the number of segments with fibrotic changes did not change significantly. After 6 months of treatment, there was a significant decrease in the concentrations of proinflammatory cytokines and cardiospecific antibodies.Conclusions. The use of a 6-month course of glucocorticoid therapy in patients with myocarditis that developed after COVID-19 infection improved the contractility of the left ventricle against the background of a significant reduction in inflammatory lesions of the left ventricle and reduced concentrations of proinflammatory cytokines and cardiospecific antibodies.

scholarly journals Epicardial Adipose Tissue Role as a Marker of Higher Vulnerability in Patients with Coronary Artery Disease

2018 ◽  
Vol 3 (2) ◽  
pp. 77-83 ◽  
Author(s):  
Tiberiu Nyulas ◽  
Mirabela Morariu ◽  
Nora Rat ◽  
Emese Marton ◽  
Victoria Ancuta Rus ◽  
...  
Keyword(s):  
Adipose Tissue ◽  
Left Ventricular Ejection Fraction ◽  
Left Ventricle ◽  
Epicardial Adipose Tissue ◽  
Left Ventricular ◽  
Left Ventricular Ejection ◽  
Ventricular Ejection Fraction ◽  
The Mean ◽  
Group 2 ◽  
Group 1

Abstract Background: Epicardial adipose tissue (EAT) has been recently identified as a major player in the development of the atherosclerotic process. This study aimed to investigate the role of EAT as a marker associated with a higher vulnerability of atheromatous coronary plaques in patients with acute myocardial infarction (AMI) as compared to patients with stable angina. Material and methods: This analysis enrolled a total of 89 patients, 47 with stable angina (SA) and 42 with AMI, who underwent echocardiographic investigations and epicardial fat measurement in 2D-parasternal long axis view. The study lot was divided as follows: Group 1 included patients with prior AMI, and Group 2 included patients with SA. Results: There were no significant differences between the two groups regarding cardiovascular risk factors, excepting smoking status, which was recorded more frequently in Group 1 as compared to Group 2 (36.17% vs. 11.63%, p = 0.02). The mean epicardial fat diameter was 9.12 ± 2.28 mm (95% CI: 8.45–9.79 mm) in Group 1 and 6.30 ± 2.03 mm (95% CI: 5.675–6.93 mm) in Group 2, the difference being highly significant statistically (p <0.0001). The mean value of left ventricular ejection fraction was significantly lower in patients with AMI (Group 1 – 47.60% ± 7.96 vs. Group 2 – 51.23% ± 9.05, p = 0.04). EAT thickness values showed a weak but significant positive correlation with the level of total cholesterol (r = −0.22, p = 0.03) and with the value of end-systolic left ventricle diameter (r = 0.33, = 0.001). Conclusions: The increased thickness of EAT was associated with other serum- or image-based biomarkers of disease severity, such as the left ventricular ejection fraction, end-systolic diameter of the left ventricle, and total cholesterol. Our results indicate that EAT is significantly higher in patients with acute coronary syndrome, proving that EAT could serve as a marker of vulnerability in cardiovascular diseases.

87Effects of the chymase inhibitor fulacimstat on adverse cardiac remodelling after acute myocardial infarction - Results of the CHIARA MIA 2 trial

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
H D Duengen ◽  
R J Kim ◽  
D Zahger ◽  
K Orvin ◽  
D Admon ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Cardiac Mri ◽  
Left Ventricular ◽  
Cardiac Remodelling ◽  
Left Ventricular Ejection ◽  
Controlled Study ◽  
P Value ◽  
Tissue Remodelling ◽  
Ventricular Ejection Fraction ◽  
Chymase Inhibitor

Abstract Introduction Adverse cardiac remodelling represents the most important risk factor for the development of heart failure (HF) after myocardial infarction (MI). Chymase is a protease that generates locally pro-fibrotic factors such as angiotensin II, TGFβ, and matrixmetallproteases that contribute to tissue remodelling. Purpose This phase IIa study examined the effects of the chymase inhibitor fulacimstat on functional parameters of adverse cardiac remodelling after acute MI. Methods A double-blind, multinational, randomized, placebo-controlled study was performed in patients after first STEMI who were treated with primary percutaneous coronary intervention within 24h of symptom onset. To enrich for patients at risk of adverse remodelling, main inclusion criteria were a left-ventricular ejection fraction (LVEF)≤45% and an infarct size>10% on day 5 to 9 post MI as measured by cardiac MRI. On day 6 to 12 post MI, patients were randomized to treatment with either 25 mg fulacimstat (n=54) or placebo (n=53) twice daily on top of standard of care. The changes in LVEF, LVEDVI, and LVESVI from baseline to 6 months of treatment were analyzed by a central blinded cardiac MRI core laboratory. Results Fulacimstat was safe and well tolerated, 64.8% of patients treated with fulacimstat and 75.5% of patients treated with placebo reported treatment emergent adverse events. Fulacimstat achieved exposures that were approximately 10-fold higher than those predicted to be required for minimal therapeutic activity. After six months of treatment, there were no effects of fulacimstat compared to placebo on the changes in LVEF, LVEDVI, and LVESVI (see Table). Analysis of primary efficacy parameters Parameter Placebo Fulacimstat p-value LVEF (%) baseline 37.2±6.1 39.1±5.5 0.15 6 months 41.2±8.4 42.6±8.4 0.45 delta 4.0±5.0 3.5±5.4 0.69 LVEDVI (mL/m2) baseline 80.0±17.1 77.4±18.2 0.51 6 months 85.1±19.1 84.7±23.4 0.94 delta 5.1±18.9 7.3±13.3 0.54 LVESVI (mL/m2) baseline 50.5±13.0 47.3±12.3 0.26 6 months 51.1±16.9 49.6±18.1 0.71 delta 0.6±14.8 2.3±11.2 0.56 Data are given as mean ± standard deviation. Conclusion Fulacimstat was safe and well tolerated in patients with left-ventricular dysfunction (LVD) after first STEMI but had no effect on adverse cardiac remodelling in the experimental setting of this study. Acknowledgement/Funding The study was funded by its sponsor BAYER AG

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