Clinical Research Directory

ADAPT-AST (Adaptive Antimicrobial Susceptibility Testing)

Sponsor: Liverpool University Hospitals NHS Foundation Trust

Summary

The goal of this study is to improve the way urinary tract infections (UTIs) are tested for antibiotic resistance. The main questions it aims to answer are: * Can the investigators use a method called Bayesian causal inference to create or check clinical prediction models that help predict if certain antibiotics will work for a urinary infection, using patient information from the National Health Service (NHS)? * Can this new ADAPT-AST method, which uses data and a smarter approach, do a better job of testing for urinary infection than the old methods? Will it help doctors make quicker decisions and save resources by being more efficient? Participants in this study will not be receiving treatments. The study will involve: Using statistical methods to predict UTI test results based on patient data. Evaluating whether this new approach can provide doctors with more timely and useful information for treating UTIs. Assessing whether it can help save money and resources in the lab and pharmacy.

Official title: Adaptive Prediction of Antimicrobial Susceptibility and Its Implementation to Improve the Management of Urinary Tract Infection

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