Leigh Sanyaolu 1, Victoria Best 2, Rebecca Cannings-John 3, Fiona Wood 1, Adrian Edwards 1, Ashley Akbari 2, Gail Hayward 4, Haroon Ahmed 1
1 Division of Population Medicine and PRIME Centre Wales, Cardiff University
2 Population Data Science, Swansea University Medical School, Faculty of Medicine, Health & Life Science, Swansea University
3 Centre for Trials Research, Cardiff University
4 Nuffield Department of Primary Care Health Sciences, Oxford University
A population-based study of 92,213 women with recurrent urinary tract infections and 26,862 women using prophylactic antibiotic users including urine microbiology and resistance patterns: a cross sectional study in Wales from 2010-2020.
The aim of this research is to improve the use of long-term antibiotics used to prevent urinary tract infections (UTIs) in patients who have recurrent UTIs.
Leigh Sanyaolu
Division of Population Medicine,
Cardiff University,
3rd Floor,
Neuadd Meirionnydd,
Heath Park,
Cardiff,
CF14 4YS UK
Email: SanyaoluLN@cardiff.ac.uk
Recurrent urinary tract infections and prophylactic antibiotic use in women: a cross-sectional study in primary care
Sanyaolu S, et al. (2024). Recurrent urinary tract infections and prophylactic antibiotic use in women: a cross-sectional study in primary care. British Journal of General Practice 2024; 74 (746): e619-e627. DOI: https://doi.org/10.3399/BJGP.2024.0015
Prophylactic antibiotics to prevent recurrent UTIs and risk of antibiotic resistance: target trial emulation using the SAIL databank
This research is funded by the Welsh Government through Health and Care Research Wales (NIHR-FS-2021-LS).
This study makes use of anonymised data held in the Secure Anonymised Information Linkage (SAIL) Databank. We would like to acknowledge all the data providers who make anonymised data available for research.
All research has been completed under the permission and approval of the SAIL independent Information Governance Review Panel (IGRP) project number 1161. Further details of this process can be found on the SAIL Databank website (https://saildatabank.com/)
This work is licensed under a Creative Commons Attribution 4.0 International License.
This is the github repository to store SQL and R scripts and code lists used for the ImPART project lead by Leigh Sanyaolu. SAIL project number 1169