ADAPT-AST (Adaptive Antimicrobial Susceptibility Testing)

NCT06297837 · Status: ACTIVE_NOT_RECRUITING · Type: OBSERVATIONAL · Enrollment: 500000

Last updated 2025-02-04

No results posted yet for this study

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.

Conditions

Sponsors & Collaborators

  • Liverpool University Hospitals NHS Foundation Trust

    lead OTHER_GOV

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-09-01
Primary Completion
2025-12-31
Completion
2026-03-31

Countries

  • United Kingdom

Study Locations

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Entities

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06297837 on ClinicalTrials.gov