Cardiovascular effects of antimuscarinic agents and beta3-adrenergic receptor agonist for the treatment of overactive bladder

Overactive bladder (OAB) syndrome is common in the general population, particularly in elderly patients. Antimuscarinic drugs (AMs) are considered the mainstay pharmaceutical treatment of OAB whereas \u3b23-adrenoceptor agonists, such as mirabegron, represent a good alternative. Owing to the important role of muscarinic and \u3b23 receptors in cardiovascular (CV) tissue and to the fact that OAB patients often have CV comorbidities, the safety-profile of these drugs constitute an important challenge. Area covered: The aim of this review is to evaluate the CV effects of AMs and mirabegron in OAB. A systematic literature search from inception until December 2017 was performed on PubMed and Medline. Expert opinion: AMs are generally considered to have good CV safety profile but, however, they may cause undesirable adverse events, such as dry mouth, constipation. CV AEs are rare but noteworthy, the most common CV consequences related to the use of these drugs are constituted by an increase in HR and QT interval. Mirabegron has similar efficacy and tolerability to AMs but causes less adverse events, with either modest hypertension and modest increase in HR (<5 bpm) being the most commonly reported

Amplifying the Effects of Contrast Agents on Magnetic Resonance Images Using a Deep Learning Method Trained on Synthetic Data

OBJECTIVES: Artificial intelligence (AI) methods can be applied to enhance contrast in diagnostic images beyond that attainable with the standard doses of contrast agents (CAs) normally used in the clinic, thus potentially increasing diagnostic power and sensitivity. Deep learning-based AI relies on training data sets, which should be sufficiently large and diverse to effectively adjust network parameters, avoid biases, and enable generalization of the outcome. However, large sets of diagnostic images acquired at doses of CA outside the standard-of-care are not commonly available. Here, we propose a method to generate synthetic data sets to train an "AI agent" designed to amplify the effects of CAs in magnetic resonance (MR) images. The method was fine-tuned and validated in a preclinical study in a murine model of brain glioma, and extended to a large, retrospective clinical human data set. MATERIALS AND METHODS: A physical model was applied to simulate different levels of MR contrast from a gadolinium-based CA. The simulated data were used to train a neural network that predicts image contrast at higher doses. A preclinical MR study at multiple CA doses in a rat model of glioma was performed to tune model parameters and to assess fidelity of the virtual contrast images against ground-truth MR and histological data. Two different scanners (3 T and 7 T, respectively) were used to assess the effects of field strength. The approach was then applied to a retrospective clinical study comprising 1990 examinations in patients affected by a variety of brain diseases, including glioma, multiple sclerosis, and metastatic cancer. Images were evaluated in terms of contrast-to-noise ratio and lesion-to-brain ratio, and qualitative scores. RESULTS: In the preclinical study, virtual double-dose images showed high degrees of similarity to experimental double-dose images for both peak signal-to-noise ratio and structural similarity index (29.49 dB and 0.914 dB at 7 T, respectively, and 31.32 dB and 0.942 dB at 3 T) and significant improvement over standard contrast dose (ie, 0.1 mmol Gd/kg) images at both field strengths. In the clinical study, contrast-to-noise ratio and lesion-to-brain ratio increased by an average 155% and 34% in virtual contrast images compared with standard-dose images. Blind scoring of AI-enhanced images by 2 neuroradiologists showed significantly better sensitivity to small brain lesions compared with standard-dose images (4.46/5 vs 3.51/5). CONCLUSIONS: Synthetic data generated by a physical model of contrast enhancement provided effective training for a deep learning model for contrast amplification. Contrast above that attainable at standard doses of gadolinium-based CA can be generated through this approach, with significant advantages in the detection of small low-enhancing brain lesions.</p

MELAS Syndrome with Cardiac Involvement: A Multimodality Imaging Approach

A 49-year-old man presented with chest pain, dyspnea, and lactic acidosis. Left ventricular hypertrophy and myocardial fibrosis were detected. The sequencing of mitochondrial genome (mtDNA) revealed the presence of A to G mtDNA point mutation at position 3243 (m.3243A&gt;G) in tRNA(Leu(UUR)) gene. Diagnosis of cardiac involvement in a patient with Mitochondrial Encephalomyopathy, Lactic Acidosis, and Stroke-like episodes syndrome (MELAS) was made. Due to increased risk of sudden cardiac death, cardioverter defibrillator was implanted

Pharmacokinetics and pharmacodynamics of ticagrelor in the treatment of cardiac ischemia

Introduction: After acute coronary syndromes (ACS), the so-called dual antiplatelet therapy (DAPT), which usually consists of low-dose of aspirin in combination with a thienopyridine (clopidogrel, prasugrel) or with a cyclopentyltriazolopyrimidine (ticagrelor), reduces the risk of ischemic events. Ticagrelor, un particular, is an effective drug as it isn' a prodrug, doesn't require metabolic activation and demonstrates a rapid onset and faster offset of action.Areas covered: This article evaluates the pharmacokinetics, efficacy, safety and tolerability of ticagrelor during DAPT after ACS and its potential use beyond the canonical twelve months after PCI. The review discusses studies comparing: ticagrelor and clopidogrel (DISPERSE, DISPERSE-2, PLATO, RESPOND Trial, ONSET/OFFSET Trials), ticagrelor and placebo (PEGASUS TIMI 54 Trial).Expert opinion: For ACS patients, the PLATO trial showed that ticagrelor was superior to clopidogrel in the reduction of cardiovascular death, myocardial infarction and stroke. PEGASUS TIMI 54 showed that patients in whom ischemic events and cardiovascular death outweigh the risk of life-threatening bleeding, may benefit from prolonged ticagrelor-based dual antiplatelet therapy, over 12 months. This strategy has been recently approved by the ACC/AHA guidelines. Further studies are needed to evaluate and eventually validate the role of the prolonged DAPT in patients treated with new generation stents

Mutation Analysis of PRKAR1A Gene in a Patient with Atrial Myxoma

reserved7noBACKGROUND: Intracardiac myxomas are frequent benign tumors of the heart and typically localize in the left atri- um and interatrial septum. When myxomas generate at other sites, they are designated as atypical. Mutations in the PRKAR1A gene (a tumor suppressor gene that encodes a protein kinase A [PKA] regulatory 1-alpha subunit) have been identified in both syndromic and non-syndromic cardiac atypical myxomas. METHODS: We report the case of a 33-year old woman suffering from night fever, weight loss, asthenia, and progressive dyspnea. RESULTS: The blood laboratory tests revealed microcytic anemia, leukocytosis, thrombocytosis, increased serum levels of C-reactive protein level, and negative blood cultures. Physical examination also demonstrated a 2/6 systolic murmur. Transthoracic and trans-esophageal echocardiography showed a voluminous, mobile mass in the left atrium with a secondary dynamic obstruction of the left cardiac chamber and a significant functional mitral stenosis. A myxoma was supposed and the patient underwent surgery. Histologically, the lesion was identified as myxomatous tumor with gelatinous pattern. No germline mutations of the PRKAR1A gene were detected. The postoperative course did not present any complications, and the patient was discharged on the sixth postoperative day in good clinical condition. Accordingly, there was an improvement in the laboratory tests' results and a resolution of symptoms. CONCLUSIONS: The patient presented an atrial giant gelatinous myxoma with peculiarity of fever of unknown origin, without PRKAR1A gene germline mutations.mixedMassobrio, Laura; Nasti, Sabina; Martinuzzi, Claudia; Chiarella, Francesco; Montecucco, Fabrizio; Rosa, Gian Marco; Valbusa, AlbertoMassobrio, Laura; Nasti, Sabina; Martinuzzi, Claudia; Chiarella, Francesco; Montecucco, Fabrizio; Rosa, GIAN MARCO; Valbusa, Albert