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70 active trials for Percutaneous Coronary Intervention

Plaque mOrphology iMpact on Side Branch Occlusion at oPtical Coherence Tomography Evaluation in Percutaneous Coronary Interventions

Despite recent advances in interventional cardiology, bifurcation coronary artery stenoses (which account for 15-20% of all coronary lesions treated by PCI), remain a challenge for PCI operators with higher rates of failure, in-stent restenosis, stent thrombosis, and recurrent clinical events, when compared to simple non-bifurcation lesions. POMPEI trial is a prospective observational study. We aim to investigate the impact of morphological plaque characteristics assessed by optical coherence tomography (OCT) on the risk of developing side branch occlusion (SBO) in bifurcation PCI. A total of 27 patients undergoing bifurcation PCI will be recruited into the trial. PCI will be performed according to local practice.The bifurcation lesion will be imaged by OCT on at least two time-points for each patient. Plaque morphology will be characterized by OCT. Off-line quantitative coronary angiography (QCA) will be performed before and after PCI and the following QCA parameters will be computed: reference vessel diameter (RVD), lesion length and diameter stenosis (DS) of Main Vessel (MV) and side branch (SB). Blood samples will be taken prior to PCI and 8-12 hours later to determine peri-procedural myocardial injury and infarction following PCI by measuring serum Troponin. The OCT data analysis will be performed in collaboration with Dr Valeria Paradies who has been trained in interventional cardiology in Rotterdam (The Netherlands) with specific interest in intravascular imaging. In conclusion, we will use OCT to detect specific morphological characteristics which are associated with acute SBO following main vessel stenting. The routine use of OCT during bifurcation PCI to detect those patients at risk of acute SBO following main vessel stenting will allow the PCI operator to implement measures for reducing the risk of SBO, thereby minimizing the risk of peri- and post-PCI angina, preventing peri-procedural myocardial injury and infarction, and improving clinical outcomes.

Start: July 2018
Cloud-based ECG Monitoring and Healthcare Model Building on the Population With Coronary Artery Revascularization

Percutaneous coronary intervention (PCI) and coronary artery bypass graft (CABG) are the golden treatments for stable coronary artery disease (CAD) combined with heart failure (HF). The goal of treating HF patients is to prevent repeated hospitalizations and improve peri-operative survival; clinically, although routines including beta-receptor inhibitors, angiotensin-converting enzyme (ACE) inhibitors, and mineralocorticoids have been shown beneficial for the prognosis, for patients with severely low left ventricular ejection rate, hypotension, and pulmonary disease, the introduction of these drugs in the early postoperative period should still be cautious and may need to be adjusted with related cardiovascular function parameters. Patients with low cardiac output syndrome, ventricular arrhythmia, or hemodynamic instability should be suspected of the failure of bypass grafts if accompanied by changes in the electrocardiogram (EKG) and an increase in myocardial enzymes. Intervention should be carried out as soon as possible after angiography detects graft failure to limit the occurrence of large-scale myocardial injury and prevent the development of severe myocardial failure. This study is start on June 1 2020. And will include 400 patients who have just undergone PCI and 300 CABG patients who diagnosis of stable coronary artery disease. We will register their medical history, medications, and routine medical examinations within one year, and perform tests such as phonocardiography (Audiocor). They will be worn and measured daily at home after discharge. The data of the electrocardiogram and the PPG bracelet will be registered with their continuous daily values. All subjects tracked the occurrence of adverse medical events within one year after discharge from the hospital. Based on the home-based remote personal care model for patients with CABG, a risk prediction model for heart failure and vascular restenosis was established to effectively reduce medical treatment, adverse events, and medical expenditure.

Start: July 2020