[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"st-elevation-stemi-myocardial-infarction\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:st-elevation-stemi-myocardial-infarction":24},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,4,0,[8,47,72,93],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":4,"eligibilityCriteria":15,"healthyVolunteers":11,"sex":16,"minAge":17,"maxAge":4,"enrollmentInfo":18,"targetDuration":4,"studyType":21,"phases":4,"briefSummary":22,"conditions":23,"keywords":27,"overallStatus":35,"whyStopped":4,"lastUpdateSubmitDate":36,"lastUpdatePostDateStruct":37,"startDateStruct":40,"completionDateStruct":41,"leadSponsor":43,"locationsCount":46},"100621135","clinical-characteristics-frailty-and-prognostic-predictors-in-patients-aged-75-and-older-with-acute-coronary-syndrome-100621135",false,"NCT07366684","Clinical Characteristics, Frailty, and Prognostic Predictors in Patients Aged 75 and Older With Acute Coronary Syndrome","Investigation of Clinical Characteristics, Frailty, and Predictors of In-Hospital and Six-Month Prognosis in Hospitalized Patients Aged 75 Years and Older With Acute Coronary Syndrome","Inclusion Criteria:\n\n* Age ≥ 75 years\n* Diagnosis of acute coronary syndrome (STEMI, NSTEMI, or unstable angina)\n* Hospitalization in a tertiary care center (University Clinical Center Niš)\n* For prospective cohort: signed informed consent\n\nExclusion Criteria:\n\n* Refusal to provide informed consent (prospective cohort)\n* Missing or incomplete medical documentation (retrospective cohort)","ALL","75 Years",{"count":19,"type":20},550,"ESTIMATED","OBSERVATIONAL","This study will evaluate clinical characteristics, frailty, and predictors of prognosis in patients aged 75 years and older who are hospitalized with acute coronary syndrome (ACS). The research includes both a retrospective and a prospective cohort. The aim is to determine whether frailty scores, combined with clinical and laboratory parameters available at admission, can improve risk prediction for complications and mortality compared with standard risk scores (TIMI, GRACE, Syntax). The study will also compare outcomes between patients treated with percutaneous coronary intervention (PCI) and those treated conservatively with medications. Patients will be followed during hospitalization and for six months after discharge. The results are expected to contribute to more personalized treatment strategies for elderly patients with ACS.",[24,25,26],"ST Elevation (STEMI) Myocardial Infarction","Non ST Elevation Myocardial Infarction (NSTEMI)","Unstable Angina Pectoris",[28,29,30,31,32,33,34],"Acute Coronary Syndrome (ACS)","Elderly","Frailty","Percutaneous Coronary Intervention (PCI)","Conservative Treatment","Major adverse cardiovascular events (MACE)","Prognostic Predictors \u002F Risk Stratification","RECRUITING","2026-05-13",{"date":38,"type":39},"2026-05-15","ACTUAL",{"date":36,"type":39},{"date":42,"type":20},"2027-09",{"name":44,"class":45},"Clinical Center Niš","OTHER",1,{"id":48,"slug":49,"hasResults":11,"nctId":50,"briefTitle":51,"officialTitle":52,"acronym":4,"eligibilityCriteria":53,"healthyVolunteers":54,"sex":16,"minAge":55,"maxAge":4,"enrollmentInfo":56,"targetDuration":4,"studyType":21,"phases":4,"briefSummary":58,"conditions":59,"keywords":60,"overallStatus":62,"whyStopped":4,"lastUpdateSubmitDate":63,"lastUpdatePostDateStruct":64,"startDateStruct":66,"completionDateStruct":68,"leadSponsor":70,"locationsCount":46},"100613184","la-strain-in-predicting-early-complication-in-stemi-after-ppci-100613184","NCT07263282","LA Strain in Predicting Early Complication in STEMI After PPCI","Left Atrium Strain as a Predictor of In-Hospital Outcomes in Patients With ST-Segment Elevation Myocardial Infarction Undergoing Primary Percutaneous Coronary Intervention","Inclusion Criteria:\n\n* Adults aged ≥18 years.\n* Diagnosed with ST-segment elevation myocardial infarction (STEMI) according to current ESC\u002FAHA criteria\n* Underwent successful primary percutaneous coronary intervention (PPCI) within 12 hours of symptom onset.\n* Sinus rhythm on admission .\n* Trans thoracic echocardiography (TTE) performed within 48 hours of admission with adequate image quality for speckle-tracking analysis.\n\nExclusion Criteria:\n\n* Previous myocardial infarction or prior PCI\u002FCABG.\n* Patients known to have atrial fibrillation or other sustained supraventricular arrhythmias.\n* Significant valvular heart disease (severe stenosis or regurgitation).\n* Congenital heart disease or cardiomyopathy (hypertrophic, dilated, restrictive).\n* Poor echocardiographic window preventing LA strain analysis .\n* Mechanical complications (e.g., papillary muscle rupture, VSD, free wall rupture).\n* Prior cardiac surgery or known structural lesions that preventing reliable LA measurement.\n* patient presenting with killip class III or IV from the start",true,"18 Years",{"count":57,"type":20},135,"The goal of this observational study To evaluate the predictive value of left atrial strain for in-hospital outcomes in patients with ST-segment elevation myocardial infarction undergoing PPCI. The main questions it aims to answer are:\n\nIs low parameters of left atrial strain associated early complication ? What is the correlation between LA strain parameters and conventional echocardiographic indices of left ventricular systolic and diastolic function ? Is there more affection to LA strain in certain territory over the others ? What is the correlation between LA strain and LA volume index across infarct territories ? Does LA strain Correlate with TAPSE and PASP to evaluate right-heart interactions ?",[24],[61],"strain in STEMI","NOT_YET_RECRUITING","2025-12-05",{"date":65,"type":39},"2025-12-12",{"date":67,"type":20},"2025-12-01",{"date":69,"type":20},"2027-02-01",{"name":71,"class":45},"Assiut University",{"id":73,"slug":74,"hasResults":11,"nctId":75,"briefTitle":76,"officialTitle":76,"acronym":4,"eligibilityCriteria":77,"healthyVolunteers":11,"sex":16,"minAge":55,"maxAge":4,"enrollmentInfo":78,"targetDuration":4,"studyType":21,"phases":4,"briefSummary":80,"conditions":81,"keywords":82,"overallStatus":62,"whyStopped":4,"lastUpdateSubmitDate":84,"lastUpdatePostDateStruct":85,"startDateStruct":87,"completionDateStruct":89,"leadSponsor":91,"locationsCount":46},"100614269","development-and-validation-of-a-cardiac-magnetic-resonance-based-multimodal-deep-learning-model-for-long-term-outcome-prediction-in-st-segment-elevation-myocardial-infarction-100614269","NCT07277400","Development and Validation of a Cardiac Magnetic Resonance-Based Multimodal Deep Learning Model for Long-Term Outcome Prediction in ST-Segment Elevation Myocardial Infarction","Inclusion Criteria:\n\n(1)diagnosis of STEMI , elevated cardiac biomarkers (troponin) above the 99th percentile upper reference limit together with at least one of the following: chest pain lasting \\>30 minutes; ST-segment elevation ≥0.1 mV in two or more contiguous limb leads or ≥0.2 mV in two or more contiguous precordial leads on a 12-lead ECG; (2) age \\>18 years, first episode of STEMI treated with primary PCI; (3)diagnostic and therapeutic management consistent with current clinical standards and guideline recommendations; (4) Killip class≤III at presentation; (5) provided informed consent for CMR imaging and clinical follow-up.\n\nExclusion Criteria:\n\n(1) contraindications to CMR (e.g., cardiac pacemakers, severe claustrophobia, known allergy to gadolinium-based contrast agents, or impaired renal function defined as eGFR\\\u003C30mL\u002Fmin\u002F1.73m²). (2) structural heart disease (e.g., significant valvular or congenital disease); (3) documented history of prior myocardial infarction, PCI, or coronary artery bypass grafting (CABG)； (4) comorbidities severely compromising overall prognosis or the ability to undergo the study procedures, such as serious hematological disorders, active systemic infections, or active malignancy; (5) cognitive impairment or psychiatric conditions precluding adequate cooperation with the CMR examination or clinical follow-up; (6) Poor-quality CMR images or missing essential sequences precluding accurate quantitative analysis.",{"count":79,"type":20},800,"Objective: This study aims to develop and test a novel artificial intelligence-based prediction model. This model will integrate cardiac magnetic resonance imaging and clinical data to predict the long-term risk of major adverse cardiovascular events in patients who have undergone emergency percutaneous coronary intervention for ST-segment elevation myocardial infarction.\n\nDescription: This study plans to enroll patients with STEMI who have received primary PCI. Approximately one week after the procedure, patients will undergo a cardiac magnetic resonance scan. Concurrently, we will collect patients' basic information, blood test results during treatment, and procedural records. Thereafter, patients will be followed up regularly (every six months) to record the occurrence of any major adverse cardiac events, such as cardiovascular death, recurrent myocardial infarction, hospitalization for heart failure, or unplanned repeat revascularization.All collected data, including clinical data and analyzed cardiac MR images, will be used to construct a multimodal deep learning model. The model will learn to identify features associated with future cardiac problems. The accuracy of the model will be tested and validated in different patient groups.\n\nPotential Impact: If successful, this prediction tool could assist physicians in identifying high-risk patients earlier and more accurately, enabling closer monitoring and more timely interventions, ultimately improving the long-term prognosis for these patients.",[24],[83],"cardiac magnetic resonance; ST-segment elevation myocardial infarction; deep learning; prediction model","2025-11-30",{"date":86,"type":39},"2025-12-11",{"date":88,"type":20},"2026-01-31",{"date":90,"type":20},"2026-06-30",{"name":92,"class":45},"Qian geng",{"id":94,"slug":95,"hasResults":11,"nctId":96,"briefTitle":97,"officialTitle":98,"acronym":4,"eligibilityCriteria":99,"healthyVolunteers":54,"sex":16,"minAge":55,"maxAge":4,"enrollmentInfo":100,"targetDuration":4,"studyType":21,"phases":4,"briefSummary":102,"conditions":103,"keywords":104,"overallStatus":62,"whyStopped":4,"lastUpdateSubmitDate":108,"lastUpdatePostDateStruct":109,"startDateStruct":111,"completionDateStruct":113,"leadSponsor":115,"locationsCount":4},"100602925","bempedoic-acid-in-ppci-impact-on-clinical-outcome-and-inflammatory-markers-100602925","NCT07129850","Bempedoic Acid in PPCI Impact on Clinical Outcome and Inflammatory Markers","Bempedoic Acid in Primary Percutaneous Coronary Intervention: Impact on Inflammatory Markers, Procedural and Clinical Outcomes","Inclusion Criteria:\n\nAge ≥18 years STEMI diagnosis Undergoing primary PCI\n\nExclusion Criteria:\n\nKnown allergy to Bempedoic acid Active infection or chronic inflammatory disease Severe hepatic or renal dysfunction Use of immunosuppressive therapy",{"count":101,"type":20},100,"Bempedoic acid in PPCI",[24],[105,106,107],"Bempedoic acid","TNF alpha","PPCI","2025-08-18",{"date":110,"type":39},"2025-08-19",{"date":112,"type":20},"2025-08-14",{"date":114,"type":20},"2027-11-14",{"name":71,"class":45}]