• Am J Emerg Med · Feb 2008

    Predictors of mortality in patients with necrotizing fasciitis.

    • Cheng-Ting Hsiao, Hsu-Huei Weng, Yao-Dong Yuan, Chih-Tsung Chen, and I-Chuan Chen.
    • Department of Emergency Medicine, Chang Gung Memorial Hospital, Puzih City, Chiayi County 613, Taiwan.
    • Am J Emerg Med. 2008 Feb 1;26(2):170-5.

    BackgroundNecrotizing fasciitis is an uncommon and life-threatening soft tissue infection with high mortality. Though early aggressive surgical intervention is important for improving survival, the impact of mortality from different microorganisms remains uncertain. Our study aims to identify the association of mortality and different microorganisms, and the positive and negative predictors of mortality in patients with necrotizing fasciitis.MethodsThis retrospective cohort study enrolled patients admitted via the emergency department (ED) with discharged diagnosis of necrotizing fasciitis (International Classification of Diseases, Ninth Revision, code 72886). Multivariate logistic regression analysis was used to identify microbiological, clinical, and biochemical variables independently associated with the mortality of necrotizing fasciitis.ResultsMultivariate logistic regression analysis showed that Vibrio infection, Aeromonas infection, hypotension, malignancy, and band form 10% or greater were significantly associated with increase of mortality (P < .05). They were considered as positive predictors of mortality. The presence of hemorrhagic bullae, however, was significantly associated with decrease of mortality (P < .05). It was considered as negative predictor of mortality.ConclusionAeromonas infection, Vibrio infection, cancer, hypotension, and band form white blood cell count greater than 10% are independent positive predictors of mortality in patients with necrotizing fasciitis. Streptococcal and staphylococcal infections, in contrast, are not predictors of mortality. The presence of hemorrhagic bullae is an independent negative predictor of mortality. Further study should focus on the accuracy of these factors.

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