Blood Culture Use in Medical and Surgical Intensive Care Units and Wards.

Importance: Blood culture (BC) use benchmarks in US hospitals have not been defined.

Objective: To characterize BC use in adult intensive care units (ICUs) and wards in US hospitals.

Design, Setting, And Participants: A retrospective cross-sectional study of BC use in adult medical ICUs, medical-surgical ICUs, medical wards, and medical-surgical wards from acute care hospitals from the 4 US geographic regions was conducted.

Mixed-methods multicenter assessment of healthcare workers' knowledge, perceptions, and practices related to blood culture utilization in hospitalized adults.

Objective: To understand healthcare workers' (HCWs) beliefs and practices toward blood culture (BCx) use.

Design: Cross-sectional electronic survey and semi-structured interviews.

Setting: Academic hospitals in the United States.

Mortality patterns in candidemia: Insights from a multispecies analysis using a global research network.

Understanding the impact of different Candida species on patient outcomes is crucial for effective management and treatment strategies. This study aims to comprehensively analyze the association between Candida species and mortality in documented candidemia. We queried TriNetX, a global research network database, to identify patients diagnosed with candidemia through polymerase chain reaction from 2020 to 2023.

The Neurologist's Role in Promoting Brain Health: Emerging Issues in Neurology.

Neurologic conditions are a leading cause of morbidity and mortality within the United States and worldwide. Brain health is a global concern, and the American Academy of Neurology's Brain Health Initiative promises to drive progress in this field over the next decades. Neurologists with detailed training and insight into brain function are uniquely positioned to apply emerging preventive health data to promote healthy brain development and maintain optimal brain function throughout the lifespan.

A head-to-head comparison of the accuracy of commercially available large language models for infection prevention and control inquiries, 2024.

We investigated the accuracy and completeness of four large language model (LLM) artificial intelligence tools. Most LLMs provided acceptable answers to commonly asked infection prevention questions (accuracy 98.9%, completeness 94.