Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Molecular epidemiology of Pseudomonas aeruginosa in an unsegregated bronchiectasis cohort sharing hospital facilities with a cystic fibrosis cohort

Mitchelmore, Philip J., Randall, Joanna, Bull, Matthew, Moore, Karen A., O'Neill, Paul A., Paszkiewicz, Konrad, Mahenthiralingam, Eshwar ORCID: https://orcid.org/0000-0001-9014-3790, Scotton, Chris J., Sheldon, Christopher D., Withers, Nicholas J. and Brown, Alan R. 2018. Molecular epidemiology of Pseudomonas aeruginosa in an unsegregated bronchiectasis cohort sharing hospital facilities with a cystic fibrosis cohort. Thorax 73 (7) , pp. 677-679. 10.1136/thoraxjnl-2016-209889

[thumbnail of Thoraxjnl_2016_209889_R2.pdf]
Preview
PDF - Accepted Post-Print Version
Download (269kB) | Preview

Abstract

While Pseudomonas aeruginosa (PA) cross-infection is well documented among patients with cystic fibrosis (CF), the equivalent risk among patients with non-CF bronchiectasis (NCFB) is unclear, particularly those managed alongside patients with CF. We performed analysis of PA within a single centre that manages an unsegregated NCFB cohort alongside a segregated CF cohort. We found no evidence of cross-infection between the two cohorts or within the segregated CF cohort. However, within the unsegregated NCFB cohort, evidence of cross-infection was found between three (of 46) patients. While we do not presently advocate any change in the management of our NCFB cohort, longitudinal surveillance is clearly warranted.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Biosciences
Publisher: BMJ Publishing Group
ISSN: 0040-6376
Date of First Compliant Deposit: 16 August 2017
Date of Acceptance: 14 August 2017
Last Modified: 11 Nov 2023 03:29
URI: https://orca.cardiff.ac.uk/id/eprint/103655

Citation Data

Cited 9 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics