Importance: Machine learning algorithms enable the automatic classification of cardiovascular diseases based on raw cardiac ultrasound imaging data. However, the utility of machine learning in distinguishing between takotsubo syndrome (TTS) and acute myocardial infarction (AMI) has not been studied.
Objectives: To assess the utility of machine learning systems for automatic discrimination of TTS and AMI.
Study Objectives: Patients who have experienced heart failure with central sleep apnea/Cheyne-Stokes respiration (CSA/CSR) have an impaired prognosis. Continuous positive airway pressure (CPAP) and adaptive servoventilation (ASV) as well as nocturnal oxygen (O₂) are proposed treatment modalities of CSA/CSR. The goal of the study is to assess whether and how different treatments of CSA/CSR affect cardiac function.
View Article and Find Full Text PDFObjective: Clinical data on the effect of non-steroidal anti-inflammatory drugs (NSAIDs) in myopericarditis are limited. Since NSAIDs are standard therapy in pericarditis, we retrospectively investigated their safety in myopericarditis.
Methods: In a retrospective case-control study, we identified 60 patients with myopericarditis from September 2010 to August 2017.
Background: There is a major unmet need to identify high-risk patients in myocarditis. Although decreasing cardiac and inflammatory markers are commonly interpreted as resolving myocarditis, this assumption has not been confirmed as of today. We sought to evaluate whether routine laboratory parameters at diagnosis predict dynamic of late gadolinium enhancement (LGE) as persistent LGE has been shown to be a risk marker in myocarditis.
View Article and Find Full Text PDFTakotsubo syndrome (TTS) was first described in 1991 as a rare, spontaneous and completely reversible left ventricular regional systolic dysfunction. Today the incidence of TTS is estimated at 2% in patients with an initial diagnosis of acute coronary syndrome (ACS). Notably, the incidence can be as high as 5.
View Article and Find Full Text PDFAims: Takotsubo syndrome (TTS) is typically provoked by negative stressors such as grief, anger, or fear leading to the popular term 'broken heart syndrome'. However, the role of positive emotions triggering TTS remains unclear. The aim of the present study was to analyse the prevalence and characteristics of patients with TTS following pleasant events, which are distinct from the stressful or undesirable episodes commonly triggering TTS.
View Article and Find Full Text PDFBackground: Multiple risk prediction models have been validated in all-age patients presenting with acute coronary syndrome (ACS) and treated with percutaneous coronary intervention (PCI); however, they have not been validated specifically in the elderly.
Methods: We calculated the GRACE (Global Registry of Acute Coronary Events) score, the logistic EuroSCORE, the AMIS (Acute Myocardial Infarction Swiss registry) score, and the SYNTAX (Synergy between Percutaneous Coronary Intervention with TAXUS and Cardiac Surgery) score in a consecutive series of 114 patients ≥75 years presenting with ACS and treated with PCI within 24 hours of hospital admission. Patients were stratified according to score tertiles and analysed retrospectively by comparing the lower/mid tertiles as an aggregate group with the higher tertile group.
Background: The SYNTAX score (SXscore), an angiographic score reflecting coronary lesion complexity, predicts clinical outcomes in patients with left main or multivessel disease, and in patients with ST-segment elevation myocardial infarction undergoing primary PCI. The clinical SXscore (CSS) integrates the SXscore and clinical variables (age, ejection fraction, serum creatinine) into a single score. We analyzed these scores in elderly patients with acute coronary syndrome (ACS) undergoing primary PCI.
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