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A prospective study of the microbiology of chronic venous leg ulcers to re-evaluate the clinical predictive value of tissue biopsies and swabs

Davies, Charlotte Emma, Hill, Katja E. ORCID: https://orcid.org/0000-0002-8590-0117, Newcombe, Robert Gordon ORCID: https://orcid.org/0000-0003-4400-8867, Stephens, Philip ORCID: https://orcid.org/0000-0002-0840-4996, Wilson, Melanie ORCID: https://orcid.org/0000-0002-8834-8268, Harding, Keith Gordon and Thomas, David William ORCID: https://orcid.org/0000-0001-7319-5820 2007. A prospective study of the microbiology of chronic venous leg ulcers to re-evaluate the clinical predictive value of tissue biopsies and swabs. Wound Repair and Regeneration 15 (1) , pp. 17-22. 10.1111/j.1524-475X.2006.00180.x

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Abstract

This study determined whether comprehensive microbiological analysis offered real predictive value in terms of healing outcome, and assessed the clinical usefulness of surface swabs vs. tissue biopsies for clinically noninfected leg wounds. The wound microflora of 70 patients with chronic venous leg ulcers was quantified after sampling by swabbing and biopsy. A highly significant association between wound surface area at 4 weeks and eventual healing at 6 months was found (p<0.001), although initial wound size, sex, height, and weight were not significant predictors of outcome (p>0.1). A significant association between healing and bacterial diversity in the wound as assessed by swab (p=0.023) was demonstrated. Furthermore, the bacterial density of wound surface area by swab (CFU/mL; p=0.018) or biopsy (CFU/g tissue; p=0.038) were shown to be independent predictors of nonhealing. Logistic regression showed that microbiological analysis of biopsies provided no additional prognostic information when compared with analysis of the surface microflora (p=0.27). Hence, if biopsies do not contribute significantly to patient management, their use should be discouraged in clinically noninfected wounds. Furthermore, independent predictors of healing, such as wound surface microbial diversity and density, could identify patients likely to have an unfavorable outcome and to whom resources should be targeted.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Dentistry
Medicine
Systems Immunity Research Institute (SIURI)
Publisher: Elsevier
ISSN: 1524-475X
Last Modified: 01 Dec 2022 09:44
URI: https://orca.cardiff.ac.uk/id/eprint/473

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