Safety concerns of aztreonam: a real-world disproportionality analysis based on FDA Adverse Event Reporting System.

Background: Aztreonam was approved by the FDA for treating Gram-negative infections, including metallo-β-lactamase producers. This study extensively evaluated aztreonam-related adverse events (AEs) from the FDA Adverse Event Reporting System (FAERS) database for a better understanding of toxicities.

Methods: The signals of aztreonam-related AEs were quantified using disproportionality analyses, like reporting odds ratio, proportional reporting ratio, Bayesian confidence propagation neural network, and multi-item gamma Poisson shrinker algorithms.

Epidermal growth factor receptor mutations in plasma DNA samples predict tumor response in Chinese patients with stages IIIB to IV non-small-cell lung cancer.

Purpose: Mutations in the epidermal growth factor receptor (EGFR) kinase domain can predict tumor response to tyrosine kinase inhibitors (TKIs) in non-small-cell lung cancer (NSCLC). However, obtaining tumor tissues for mutation analysis is challenging. We hypothesized that plasma-based EGFR mutation analysis is feasible and has value in predicting tumor response in patients with NSCLC.