Variation in the management and treatment of children with giant coronary artery aneurysm following Kawasaki disease.

Objectives: Giant coronary artery aneurysms are rare but potentially fatal complications of Kawasaki disease. The lack of evidence-based recommendations on their management and treatment cause guidelines and practices to differ. We aimed to assess these variations.

Mistakes are not an option: aggression from peers and other correlates of anxiety and depression in pediatricians in training.

Introduction: Pediatricians in training are a population at risk for anxiety and depression: they face long working hours, they are confronted with the suffering and death of a vulnerable population and may have personal characteristics that put them in danger. Nonetheless, few studies have looked at their prevalence and associated factors. We aimed to compare demographic, professional activities, adversities and perfectionism personality features between a group of pediatricians in training with depression and/or anxiety and a group of pediatricians in training without depression nor anxiety and, to identify the variables that increase the probabilities of depression and/or anxiety in pediatricians in training.

Patient-specific Cardio-respiratory Motion Prediction in X-ray Angiography using LSTM Networks.

To develop a novel patient-specific cardio-respiratory motion prediction approach for X-ray angiography time series based on a simple long short-term memory (LSTM) model.The cardio-respiratory motion behavior in an X-ray image sequence was represented as a sequence of 2D affine transformation matrices, which provide the displacement information of contrasted moving objects (arteries and medical devices) in a sequence. The displacement information includes translation, rotation, shearing, and scaling in 2D.

Generative learning approach for radiation dose reduction in X-ray guided cardiac interventions.

Background: Navigation guidance in cardiac interventions is provided by X-ray angiography. Cumulative radiation exposure is a serious concern for pediatric cardiac interventions.

Purpose: A generative learning-based approach is proposed to predict X-ray angiography frames to reduce the radiation exposure for pediatric cardiac interventions while preserving the image quality.

Probable Case of Vertical Transmission of SARS-CoV-2 in a Newborn in Mexico.

Background: Much remains unknown about the transmission of the SARS-CoV-2 virus. Pregnant women are considered part of the risk population, and vertical transmission of other coronaviruses has been suggested; however, this type of transmission in SARS-CoV-2 is believed to be unlikely.

Case Report: A newborn delivered in term via cesarean section to an asymptomatic but COVID-19-positive 35-year-old woman started with respiratory distress in the first 30 min of life.

Supravalvular and Valvular Pulmonary Stenosis: Predictive Features and Responsiveness to Percutaneous Dilation.

Supravalvular pulmonary stenosis (SVPS) is considered a rare form of pulmonary stenosis (PS) and represents both a diagnostic and therapeutic challenge. There currently exist no reliable echocardiographic criteria to accurately predict the supravalvular form. The aims of the study were to describe the response to treatment of the different PS presentations and to outline the diagnostic capacity of echocardiogram to differentiate the SVPS from valvular PS (VPS).

Combining Adobe Forms and Dropbox to Obtain a Low-Cost Electronic Data Collection System.

Background: The method used to collect, store, and analyze data can affect the quality of data obtained. Many studies have shown the advantages of electronic systems over paper. Numerous tools are available for this purpose; however, they tend to be implemented only in high-budget protocols as they tend to be expensive.