C Ohmann1, Q Yang, T Hau, H Wacha. 1. Department of General and Trauma Surgery, Heinrich-Heine-University, Düsseldorf, Federal Republic of Germany.
Abstract
OBJECTIVE: To develop and to evaluate a new score to aid management in peritonitis. DESIGN: Prospective, multicentre study. SETTING: 18 departments of surgery in Germany. Austria, and Switzerland. SUBJECTS: 355 patients with peritonitis confirmed at laparotomy. INTERVENTIONS: Computation of four different prognostic systems: APACHE II; APACHE II and successful operation; APACHE II, successful operation and Goris score on the first postoperative day: and multivariate analysis. Predictions were evaluated according to the following criteria: specificity with a fixed sensitivity at 80%, receiver operating characteristic (ROC-) curve, and predictive value. MAIN OUTCOME MEASURE: The ability to predict hospital death and infective complications. RESULTS: Multivariate analysis was superior to APACHE II: APACHE II and successful operation: and APACHE II, successful operation, and Goris score. From the analysis a new prognostic model was derived from which it was possible to identify patients early in the postoperative period who are at high risk of developing further complications (prognostic peritonitis model: PPM). CONCLUSIONS: None of the existing scores was of particular use for therapeutic decision making in peritonitis. The new prognostic model should be the focus of further trials in the management of peritonitis.
OBJECTIVE: To develop and to evaluate a new score to aid management in peritonitis. DESIGN: Prospective, multicentre study. SETTING: 18 departments of surgery in Germany. Austria, and Switzerland. SUBJECTS: 355 patients with peritonitis confirmed at laparotomy. INTERVENTIONS: Computation of four different prognostic systems: APACHE II; APACHE II and successful operation; APACHE II, successful operation and Goris score on the first postoperative day: and multivariate analysis. Predictions were evaluated according to the following criteria: specificity with a fixed sensitivity at 80%, receiver operating characteristic (ROC-) curve, and predictive value. MAIN OUTCOME MEASURE: The ability to predict hospital death and infective complications. RESULTS: Multivariate analysis was superior to APACHE II: APACHE II and successful operation: and APACHE II, successful operation, and Goris score. From the analysis a new prognostic model was derived from which it was possible to identify patients early in the postoperative period who are at high risk of developing further complications (prognostic peritonitis model: PPM). CONCLUSIONS: None of the existing scores was of particular use for therapeutic decision making in peritonitis. The new prognostic model should be the focus of further trials in the management of peritonitis.
Authors: Miriam C J M Sturkenboom; Wim G Goettsch; Gino Picelli; Bas in 't Veld; Don D Yin; Romy B de Jong; Peter M N Y H Go; Ron M C Herings Journal: Br J Clin Pharmacol Date: 2005-10 Impact factor: 4.335
Authors: Bas Lamme; Cecilia W Mahler; Oddeke van Ruler; Dirk J Gouma; Johannes B Reitsma; Marja A Boermeester Journal: World J Surg Date: 2006-12 Impact factor: 3.352