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[Prognostic factors in diffuse peritonitis].

W Barthlen1, H Bartels, R Busch

  • 1Chirurgische Klinik und Poliklinik, TU München, BRD.

Langenbecks Archiv Fur Chirurgie
|January 1, 1992
PubMed
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This study identified key factors predicting survival in diffuse peritonitis patients. Independent predictors include surgical source control, initial serum creatinine, advanced age, and pre-existing liver disease.

Area of Science:

  • Medicine
  • Critical Care
  • Infectious Diseases

Background:

  • Diffuse peritonitis is a severe condition with high mortality.
  • Identifying prognostic factors is crucial for patient management and outcomes.

Purpose of the Study:

  • To evaluate the prognostic relevance of various clinical and laboratory variables for survival in patients with diffuse peritonitis.

Main Methods:

  • A univariate and multivariate analysis was performed on 46 variables in 184 patients with diffuse peritonitis.
  • Key parameters assessed included patient demographics, comorbidities, infection source control, hemodynamic status, organ function, and microbiological findings.

Main Results:

  • Univariate analysis revealed significant correlations between survival and age (≥70 years), pre-existing hepatic/cardiac disease, lack of primary infection source eradication, cardiovascular instability, respiratory failure, hyperbilirubinemia, thrombocytopenia, elevated creatinine, reduced creatinine clearance, and specific microbial findings (Pseudomonas aeruginosa, Candida albicans).

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  • Multivariate analysis identified independent prognostic factors for survival as: surgical eradication of the primary infection source at the first laparotomy, initial serum creatinine levels, age (≥70 years), and pre-existing hepatic disease.

    • Conclusions:

    • Surgical eradication of the infection source, initial renal function, advanced age, and pre-existing hepatic disease are critical independent predictors of survival in diffuse peritonitis.
    • These factors can aid in risk stratification and guide clinical decision-making for improved patient outcomes.