Literature DB >> 25894837

Assessment of Microbiota and Their Drug Resistance in Chronic Fistulous Tracts.

Xiuwen Wu1, Jianan Ren1, Xiaoting Li2, Song Liu1, Qin Wu1, Gefei Wang1, Guosheng Gu1, Huajian Ren1, Jieshou Li1.   

Abstract

BACKGROUND: Bacteria colonizing an enterocutaneous fistula tract have not been clarified. The aims of this study were to investigate the pathogen spectra of fistulous tracts and their resistance to antibiotics in patients with chronic fistulas.
METHODS: We conducted a one-year prospective single-center study. In the absence of significant sepsis, consecutively stabilized patients with chronic enterocutaneous fistula were included. Microbiology and antimicrobial susceptibility of isolates from the tracts were analyzed. The correlations between the existence of bacteria and various clinical values were investigated further.
RESULTS: Forty-one patients were enrolled, of whom eight had a negative culture. A total of 48 bacterial strains were harvested, including 42 strains of gram-negative bacteria and six strains of gram-positive bacteria, most of which were multiple-drug-resistant. The three bacteria cultured most often were Escherichia coli (11 strains; 22.9%), Pseudomonas aeruginosa (eight strains; 16.7%), and Klebsiella pneumoniae (eight strains). Binary logistic regression analysis with forward (conditional) stepwise selection found that fistula length correlated with positive bacterial results (p=0.018). Other variables, namely entire length of hospitalization and fistula duration and location, were unrelated to the presence of micro-organisms in fistula tracts.
CONCLUSIONS: Multiple-drug-resistant gram-negative bacteria were the main pathogens colonizing chronic fistula tracts. Fistula length was significantly associated with the presence of pathogens in a multivariable logistic regression model.

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Year:  2015        PMID: 25894837      PMCID: PMC4487689          DOI: 10.1089/sur.2013.161

Source DB:  PubMed          Journal:  Surg Infect (Larchmt)        ISSN: 1096-2964            Impact factor:   2.150


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