Literature DB >> 8439000

Predicting infectious morbidity in elective operations.

N V Christou1.   

Abstract

The determination of surgical risk is a major problem in general surgical practice and many studies have attempted to predict postoperative outcome. Clinical judgment is still a fundamental skill with which the experienced surgeon can estimate the risk of postoperative infectious morbidity. Predictive scores based on statistical analysis have also proven to be valid and useful tools. This discussion analyzes the importance of surgical risk prediction. With future research in this area, it is hoped that therapeutic strategies will result that will reduce or eliminate this risk.

Mesh:

Year:  1993        PMID: 8439000     DOI: 10.1016/s0002-9610(05)81207-3

Source DB:  PubMed          Journal:  Am J Surg        ISSN: 0002-9610            Impact factor:   2.565


  3 in total

1.  Neutrophil Migration Activity (NMA) - A new migration test for the monitoring of wound healing in traumatology?

Authors:  H P Hofer; G Egger; E Kukovetz; W Petek; R J Schaur
Journal:  Eur J Orthop Surg Traumatol       Date:  1995-12

2.  Canadian practice guidelines for surgical intra-abdominal infections.

Authors:  Anthony W Chow; Gerald A Evans; Avery B Nathens; Chad G Ball; Glen Hansen; Godfrey Km Harding; Andrew W Kirkpatrick; Karl Weiss; George G Zhanel
Journal:  Can J Infect Dis Med Microbiol       Date:  2010       Impact factor: 2.471

3.  Culture of human peritoneum--a new method to measure the local cytokine response and the effect of immunomodulators.

Authors:  W Haupt; J Riese; C Denzel; M Zowe; J Gusinde; M Siassi; W Hohenberger
Journal:  Infection       Date:  1998 Sep-Oct       Impact factor: 3.553

  3 in total

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