Project description:Left ventricular outflow tract (LVOT) pseudoaneurysm is a rare condition with a wide range of causes and various clinical outcomes. The causes range from infections, trauma to the chest wall, and iatrogenic origins. We present a unique case of idiopathic LVOT pseudoaneurysm in a patient with no obvious clinical risk factors. (Level of Difficulty: Advanced.).
Project description:Prosthetic valve complications are not uncommon after valve replacement. In this paper we report a female patient who presented with aortic prosthetic valve endocarditis and echocardiographic appearance of periaortic abscess. After 6 weeks of antibiotic therapy, echocardiographic examination revealed resolution of abscess cavity and replacement with a clear blood-filled anechoic sac. Diagnosis was made by cardiac computed tomography, which showed a left ventricular outflow tract (LVOT) pseudoaneurysm rather than an abscess, located just below the sewing ring of the prosthetic aortic valve. We assumed that either resolution of thrombus in LVOT pseudoaneurysm following effective warfarin therapy or clearance of infective content in pseudoaneurysm after co-administered antibiotics gave rise to change in echocardiographic characteristics in the perivalvular area.
Project description:We present a case of a pseudoaneurysm arising from the left ventricular outflow tract/aortic root as a complication of aortic valve surgery. A 45-year-old Nigerian female presented to our institution's emergency department with chest discomfort. She had three bioprosthetic aortic valve replacements in the preceding year at an outside institution for aortic regurgitation and wanted a second opinion on remaining surgical options. The learning points relevant to this case are as follows: (1) Recognizing potential complications postmultiple valve surgeries, (2) screening patients for chronic infections and rheumatologic conditions that can contribute to failed valve surgeries.
Project description:IntroductionMultiple algorithms based on 12-lead ECG measurements have been proposed to identify the right ventricular outflow tract (RVOT) and left ventricular outflow tract (LVOT) locations from which ventricular tachycardia (VT) and frequent premature ventricular complex (PVC) originate. However, a clinical-grade machine learning algorithm that automatically analyzes characteristics of 12-lead ECGs and predicts RVOT or LVOT origins of VT and PVC is not currently available. The effective ablation sites of RVOT and LVOT, confirmed by a successful ablation procedure, provide evidence to create RVOT and LVOT labels for the machine learning model.MethodsWe randomly sampled training, validation, and testing data sets from 420 patients who underwent successful catheter ablation (CA) to treat VT or PVC, containing 340 (81%), 38 (9%), and 42 (10%) patients, respectively. We iteratively trained a machine learning algorithm supplied with 1,600,800 features extracted via our proprietary algorithm from 12-lead ECGs of the patients in the training cohort. The area under the curve (AUC) of the receiver operating characteristic curve was calculated from the internal validation data set to choose an optimal discretization cutoff threshold.ResultsThe proposed approach attained the following performance: accuracy (ACC) of 97.62 (87.44-99.99), weighted F1-score of 98.46 (90-100), AUC of 98.99 (96.89-100), sensitivity (SE) of 96.97 (82.54-99.89), and specificity (SP) of 100 (62.97-100).ConclusionsThe proposed multistage diagnostic scheme attained clinical-grade precision of prediction for LVOT and RVOT locations of VT origin with fewer applicability restrictions than prior studies.
Project description:We present a unique case of acute coronary syndrome (ACS) secondary to external coronary artery compression from a left ventricular outflow tract pseudoaneurysm in a postsurgical aortic valve replacement (AVR) patient, subsequently sealed with a pericardial patch. We highlight this rare presentation of ACS in postsurgical AVR patients and the importance of multimodality imaging and treatment of this unique, potentially serious sequela. (Level of Difficulty: Intermediate.).