Insect Allergy: Barriers in Training and Practice: A Work Group Report of the AAAAI Anaphylaxis Committee.

Background: The evaluation and management of insect sting allergy is a complex core competency taught in Allergy and Immunology fellowship programs. It is unclear if current training on insect allergy is sufficient to meet the needs of the field, and what training barriers exist.

Objective: To investigate the extent of training on stinging insect allergy, and factors currently impacting stinging insect allergy clinical practice through a pilot needs-assessment survey.

Influenza vaccine effectiveness against hospitalizations and emergency department or urgent care encounters for children, adolescents, and adults during the 2023-2024 season, United States.

Background: The 2023-2024 influenza season had predominant influenza A(H1N1)pdm09 virus activity, but A(H3N2) and B viruses co-circulated. Seasonal influenza vaccine strains were well-matched to these viruses.

Methods: Using health care encounters data from health systems in 8 states, we evaluated influenza vaccine effectiveness (VE) against influenza-associated medical encounters from October 2023-April 2024.

Clinical outcomes of a twice daily metronidazole dosing strategy for Bacteroides bloodstream infections.

Objective: The optimal metronidazole dose for the treatment of Bacteroides spp. has not been well-defined.

Methods: This study was a multicenter, retrospective chart review of adult patients with bacteremia secondary to Bacteroides spp.

Rapid prediction of conformationally-dependent DFT-level descriptors using graph neural networks for carboxylic acids and alkyl amines.

Data-driven reaction discovery and development is a growing field that relies on the use of molecular descriptors to capture key information about substrates, ligands, and targets. Broad adaptation of this strategy is hindered by the associated computational cost of descriptor calculation, especially when considering conformational flexibility. Descriptor libraries can be precomputed agnostic of application to reduce the computational burden of data-driven reaction development.

Impact of a multicomponent strategy including decentralized molecular testing for tuberculosis on mortality: planned analysis of a cluster-randomized trial in Uganda.

Background: Rapid diagnosis of tuberculosis (TB) is important for improving outcomes and reducing transmission. Previous studies assessing the impact of Xpert MTB/RIF (Xpert), a molecular assay that provides results within 2 h, on mortality have been inconclusive. In this planned analysis of a pragmatic cluster-randomized trial in Uganda, we assessed whether a multicomponent strategy, including decentralized Xpert testing, decreased mortality among adults evaluated for TB.