Anaphylaxis in pediatric patients: single-center study in a private hospital.

This study aimed to characterize the profile of probable anaphylaxis cases treated at a private pediatric hospital emergency department in São Paulo. It investigated triggering factors, the presence of cofactors, treatments administered, and follow-up for these cases through interviews with the patients' families. A single-center cross-sectional study analyzed medical records of children and adolescents treated between 2016 and 2020.

Impact of variables on recovery time in patients undergoing hemodialysis: an international survey.

Background: Dialysis recovery time (DRT) refers to the period during which fatigue and weakness subside following hemodialysis treatment, allowing patients to resume their daily routines. This study aimed to identify the factors influencing DRT in hemodialysis patients in Turkey and Portugal, where the prevalence of chronic kidney disease is notably high.

Methods: A cross-sectional observational study was conducted in a private dialysis center in Turkey and three dialysis centers in Portugal.

Artificial intelligence applied to bed regulation in Rio Grande do Norte: Data analysis and application of machine learning on the "RegulaRN Leitos Gerais" platform.

Bed regulation within Brazil's National Health System (SUS) plays a crucial role in managing care for patients in need of hospitalization. In Rio Grande do Norte, Brazil, the RegulaRN Leitos Gerais platform was the information system developed to register requests for bed regulation for COVID-19 cases. However, the platform was expanded to cover a range of diseases that require hospitalization.

Multicenter comparative analysis of local and aggregated data training strategies in COVID-19 outcome prediction with Machine learning.

Machine learning (ML) is a promising tool in assisting clinical decision-making for improving diagnosis and prognosis, especially in developing regions. It is often used with large samples, aggregating data from different regions and hospitals. However, it is unclear how this affects predictions in local centers.

Validation of ACC/AHA and ESC Sudden Cardiac Death Risk Guidelines in Diverse Hypertrophic Cardiomyopathy Cohort: Stratification HCM Study.

Background: Sudden cardiac death (SCD) is a major concern in patients with hypertrophic cardiomyopathy (HCM). The American College of Cardiology/American Heart Association (ACC/AHA) and the European Society of Cardiology (ESC) have different guidelines for SCD risk stratification. Their comparative performance in diverse populations remains uncertain.