Acute prognosis of critically ill patients with secondary peritonitis: the impact of the number of surgical revisions, and of the duration of surgical therapy

Am J Surg. 2012 Jul;204(1):28-36. doi: 10.1016/j.amjsurg.2011.07.019. Epub 2012 Jan 5.

Abstract

Background: Duration of surgical therapy and the number of surgical revisions performed to control the focus may be important prognostic variables. Association of such time-dependent therapies with survival, however, has not yet been studied.

Methods: We analyzed survival times of adult patients (n = 283) who were suffering from secondary peritonitis and associated organ failure. Cox-type additive hazard regression models were used to analyze associations of surgical variables with survival time.

Results: Seventy-two patients (25.4%) survived the period of excess mortality after intensive care unit admission. A total of 79.5% of the 283 patients required one or more surgical revisions. Besides the underlying disease and disease severity at intensive care unit admission, there was a nonlinear smoothed association between a poorer outcome and the duration of surgical therapy, and the number of surgical revisions. For the latter, hazard ratios increased sharply between 1 and 5 revisions, and remained largely constant later on.

Conclusions: In critically ill patients with peritonitis, a long therapy and the necessity for a high number of reoperations is related inversely to acute survival.

MeSH terms

  • APACHE
  • Acute Disease
  • Adult
  • Aged
  • Aged, 80 and over
  • Community-Acquired Infections / mortality
  • Community-Acquired Infections / surgery
  • Confounding Factors, Epidemiologic
  • Critical Care
  • Critical Illness / mortality*
  • Female
  • Germany / epidemiology
  • Hospital Mortality
  • Humans
  • Intensive Care Units / statistics & numerical data*
  • Male
  • Middle Aged
  • Odds Ratio
  • Peritonitis / etiology
  • Peritonitis / mortality*
  • Peritonitis / surgery*
  • Predictive Value of Tests
  • Prognosis
  • Proportional Hazards Models
  • Reoperation / statistics & numerical data*
  • Retrospective Studies
  • Risk Factors
  • Survival Analysis
  • Time Factors
  • Treatment Outcome