bioRxivMicrobiology
Bloodstream Infection with Extended-spectrum Beta-lactamase-producing Escherichia coli: the role of virulence genes
W.-T. Hung, M.-F. Cheng, F.-C. Tseng, Y.-S. Chen, S. S.-J. Lee, T.-H. Chang, H.-H. Lin, C.-H. Hung, J.-L. Wang
Abstract
BackgroundVarious bacterial putative virulence factors are involved in the pathogenesis of bacterial infection. However, the effect of comorbidities or infection syndrome in the association of virulence factors and mortality remains inconclusive.\n\nMethodThis study addressed whether specific sequence type (ST) and virulence factors of extended-spectrum beta-lactamase-producing Escherichia coli (ESBL-EC) are associated with different outcomes in patients with bloodstream infection.121 adults from southern Taiwan with ESBL-producing E. coli bloodstream infections were enrolled during a 6-year period. Demographic data, including infection syndromes, underlying disease and outcomes, were collected. The virulence factors in isolates were analyzed by PCR and multilocus sequence typing.\n\nResultPositivity for the virulence genes iha, hlyD, sat, iut, fyu, malX, ompT, usp and traT was associated with ST131 positivity (P<0.05). Some ESBL-EC virulence genes associated with urinary tract infection (UTI) were revealed. Positivity for ST405 and the virulence genes iroN and iss was significantly associated with increased 30-day mortality (death within 30 days) on univariate analysis (P<0.05). Independent risk factors of 30-day mortality in bacteremic patients with UTI included underlying chronic liver disease and malignancy. ST131 was borderline associated with 30-day mortality. Independent risk factors associated with 30-day mortality among bacteremic patients without UTI included comorbidities and iroN positivity.\n\nConclusionIn bacteremic patients with UTI, and the ST131 clone was borderline associated with mortality. Positivity for the virulence gene iroN may be linked to mortality in bacteremic patients without UTI.
- organism: E. coli
- assay: clinical cohort / trial
- research focus: host-pathogen & immune response
- approach: statistical model
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