Anaphylaxis management: knowledge of Brazilian pediatricians.

Objective: To verify the level of knowledge of Brazilian pediatricians about anaphylaxis, identifying sociodemographic and educational characteristics of the professional which contribute to the adequate management of this clinical disorder.

Methods: A survey was carried out on the management of anaphylaxis using a questionnaire prepared and distributed by email to pediatricians in different states in Brazil. The level of knowledge about anaphylaxis was classified as: satisfactory; unsatisfactory; more than satisfactory; ideal, according to evaluation criteria adopted for the statements of clinical cases that addressed the drug of choice, route of administration, positioning of the patient with anaphylaxis and recognition of the clinical case with differential diagnosis.

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.

Carbon Footprint Analysis of an Outpatient Dermatology Practice at an Academic Medical Center.

Importance: There is growing awareness of the US health sector's substantial contribution to the country's greenhouse gas (GHG) emissions, exacerbating the health threats from climate change. Reducing health care's environmental impact requires understanding its carbon emissions, but there are few published audits of health systems and fewer comprehensive emissions analyses at the clinic or department level.

Objective: To quantify the annual GHG emissions from a large outpatient dermatology practice, compare relative sources of emissions, and identify actionable targets.

Influenza a Virus Detection at the Human-Swine Interface in US Midwest Swine Farms.

This study evaluated influenza A virus (IAV) detection and genetic diversity over time, specifically at the human-swine interface in breeding and nursery farms. Active surveillance was performed monthly in five swine farms in the Midwest United States targeting the employees, the prewean piglets at sow farms, and the same cohort of piglets in downstream nurseries. In addition, information was collected at enrollment for each employee and farm to assess production management practices, IAV vaccination status, diagnostic procedures, and biosecurity.

Structural Characterization and In Vitro and In Silico Studies on the Anti--Glucosidase Activity of Anacardic Acids from .

The growing focus on sustainable use of natural resources has brought attention to cashew nut shell liquid (CNSL), a by-product rich in anacardic acids (AAs) with potential applications in diabetes treatment. In this study, three different AAs from CNSL, monoene (15:1, AAn1), diene (15:2, AAn2), and triene (15:3, AAn3), and a mixture of the three (mix) were evaluated as -glucosidase inhibitors. The samples were characterized by combining 1D and 2D NMR spectroscopy, along with ESI-MS.