Italian return to play protocol after COVID-19 in young competitive and professional athletes: diagnostic yield and cost-benefit analysis.

BACKGROUND: Return to play (RTP) protocols have been proposed to early detect cardiovascular involvement due to COVID-19 and reduce the risk of sports-related sudden cardiac death. However, uncertainties remain about the true prevalence of COVID-19 myopericarditis, the arrhythmic risk and the cost of this protocol. METHODS: We collected data from 217 competitive and professional athletes of both genders who underwent RTP protocol (clinical history, resting and exercise ECG, and echocardiography). Holter monitoring and/or cardiac magnetic resonance (CMR) were performed in case of abnormalities. In 107 athletes, the RTP data were compared with those of preparticipation evaluation (PPE) performed prior to COVID-19 infection. RESULTS: Out of 217 consecutive athletes evaluated with the RTP protocol, 7 underwent CMR: among these we found alterations compatible with myopericarditis in 3 (1.4%), with a cost per person of € 223.93 and a cost per diagnosis of € 16,197.53. Of the 107 athletes previously evaluated with PPE, 4 underwent RMC: we made a final diagnosis of myocarditis in 1 athlete (0.9%), whereas another athlete (0.9%) showed moderate pericardial effusion. The clinical presentation of both these athletes was characterized by the presence of ventricular arrhythmias newly detected during RTP. Compared to PPE, during RTP higher values were observed for shortness of breath, weight, heart rate and corrected QT interval, whereas lower values for sinus bradycardia and the E/A ratio of mitral flow. CONCLUSIONS: The prevalence of myopericarditis was similar to that reported in previous cross-sectional and case-control studies. The availability of data recorded before COVID-19 was important in the evaluation of athletes with arrhythmias. The RTP protocol has proven to be less cost effective than normal PPE.

Comprehensive functional and anatomic assessment of myocardial bridging: Unlocking the Gordian Knot.

Myocardial bridging (MB) is the most frequent congenital coronary anomaly in which a segment of an epicardial coronary artery takes a tunneled course under a bridge of the myocardium. This segment is compressed during systole, resulting in the so-called "milking effect" at coronary angiography. As coronary blood flow occurs primarily during diastole, the clinical relevance of MB is heterogeneous, being usually considered an asymptomatic bystander. However, many studies have suggested its association with myocardial ischemia, anginal symptoms, and adverse cardiac events. The advent of contemporary non-invasive and invasive imaging modalities and the standardization of intracoronary functional assessment tools have remarkably improved our understanding of MB-related ischemia, suggesting the role of atherosclerotic lesions proximal to MB, vasomotor disorders and microvascular dysfunction as possible pathophysiological substrates. The aim of this review is to provide a contemporary overview of the pathophysiology and of the non-invasive and invasive assessment of MB, in the attempt to implement a case-by-case therapeutic approach according to the specific endotype of MB-related ischemia.

Application of a Decision Tree Model to Predict the Outcome of Non-Intensive Inpatients Hospitalized for COVID-19.

Many studies have identified predictors of outcomes for inpatients with coronavirus disease 2019 (COVID-19), especially in intensive care units. However, most retrospective studies applied regression methods to evaluate the risk of death or worsening health. Recently, new studies have based their conclusions on retrospective studies by applying machine learning methods. This study applied a machine learning method based on decision tree methods to define predictors of outcomes in an internal medicine unit with a prospective study design. The main result was that the first variable to evaluate prediction was the international normalized ratio, a measure related to prothrombin time, followed by immunoglobulin M response. The model allowed the threshold determination for each continuous blood or haematological parameter and drew a path toward the outcome. The model's performance (accuracy, 75.93%; sensitivity, 99.61%; and specificity, 23.43%) was validated with a k-fold repeated cross-validation. The results suggest that a machine learning approach could help clinicians to obtain information that could be useful as an alert for disease progression in patients with COVID-19. Further research should explore the acceptability of these results to physicians in current practice and analyze the impact of machine learning-guided decisions on patient outcomes.

Capsaicin 8% dermal patch in clinical practice: an expert opinion.

INTRODUCTION: Neuropathic pain (NP) is caused by a lesion or disease of the somatosensory system, which can severely impact patients' quality of life. The current-approved treatments for NP comprise of both centrally acting agents and topical drugs, including capsaicin 8% dermal patches, which is approved for the treatment of peripheral NP. AREAS COVERED: The authors summarize literature data regarding capsaicin use in patients who suffer from NP and discuss the clinical applications of this topical approach. EXPERT OPINION: Overall, the capsaicin 8% dermal patch is as effective in reducing pain intensity as other centrally active agents (i.e. pregabalin). Some studies have also reported fewer systemic side effects, a faster onset of action and superior treatment satisfaction compared with systemic agents. In our opinion, capsaicin 8% dermal patches also present additional advantages, such as a good systemic tolerability, the scarcity of adverse events, the possibility to combine it with other agents, and a good cost-effective profile. It is important to note that, as the mechanism of action of capsaicin 8% is the 'defunctionalization' of small afferent fibers through interaction with TRPV1 receptors, the peripheral expression of this receptor on nociceptor fibers, is crucial to predict patient's response to treatment.

Assessment of ultrasound acoustic artifacts in patients with acute dyspnea: a multicenter study.

BACKGROUND: Recent reports indicate that numerical assessment of B-lines during transthoracic ultrasound may aid the differential diagnosis of acute diffuse pleuropulmonary disorders. PURPOSE: To determine whether B-lines are different in normal and diseased lungs and whether they can be used to discriminate between different types of pulmonary disorders in acutely ill patients. MATERIAL AND METHODS: In this multicenter study, transthoracic ultrasonography was performed on 193 patients with acute dyspnea, 193 healthy non-smokers, and 58 patients who had undergone pneumonectomy for lung cancer. Examinations were done with a low-medium frequency (3.5-5.0 MHz) convex probe and a high-frequency (8-12.5 MHz) linear probe. Video recordings were re-examined by a second set of examiners. In each participant, we measured the number of B-lines observed per scan. RESULTS: B-lines counts were higher in dyspnoic patients (means: 3.11 per scan per linear probe scan vs. 1.93 in healthy controls and 1.86 in pneumonectomized patients; P < 0.001 for all); all counts were higher when convex probes were used (5.4 in dyspnoic patients and 2 in healthy controls; P < 0.001 vs. the linear probe). Subgroups of dyspnoic patients defined by cause of dyspnea displayed no significant differences in the number of B-lines. CONCLUSION: Our results demonstrate that there are a significant higher number of B-lines in the lungs of patients with dyspnea compared to healthy subjects and to pneumonectomized patients. Nevertheless, the quantification of B-lines does not make any significant contribution to the differential diagnosis of dyspnea.