Treffer: [Perforated gastroduodenal ulcer. II. Risk analysis in the prognostic evaluation of the postoperative course].

Title:
[Perforated gastroduodenal ulcer. II. Risk analysis in the prognostic evaluation of the postoperative course].
Transliterated Title:
Das perforierte Gastroduodenalulkus. II. Risikoanalyse zur prognostischen Beurteilung des postoperativen Verlaufes.
Authors:
Krenzien J; Klinik für Chirurgie, Bezirkskrankenhauses Potsdam., Röding H, Rudtke B
Source:
Zentralblatt fur Chirurgie [Zentralbl Chir] 1990; Vol. 115 (8), pp. 471-81.
Publication Type:
Journal Article
Language:
German
Journal Info:
Publisher: Thieme Country of Publication: Germany NLM ID: 0413645 Publication Model: Print Cited Medium: Print ISSN: 0044-409X (Print) Linking ISSN: 0044409X NLM ISO Abbreviation: Zentralbl Chir Subsets: MEDLINE
Imprint Name(s):
Publication: <2009- > : Stuttgart : Thieme
Original Publication: Leipzig : Johann Ambrosius Barth
Entry Date(s):
Date Created: 19900101 Date Completed: 19900802 Latest Revision: 20191210
Update Code:
20250114
PMID:
2360374
Database:
MEDLINE

Weitere Informationen

The data of 245 patients of our clinic, which perforation was treated with simple suture, were analysed by uni- and multivariate statistics to estimate risk factors. The aim was to predict the postoperative outcome. In a first step univariate test methods gave some orientation of the relevance of the factors. There was a highly significant correlation of age, preoperative shock, medical illnesses, time interval perforation-operation and clinical diagnosis to postoperative mortality. In a second step a multivariate decision model was used to calculate a prognostic index of the outcome after operation of perforated peptic ulcer. The index was tested in a cohort study. The results of validation were good for all quality parameters, so that the index allows a relatively safer statement about the so-called risk patients.--The prognostic problems of perforated gastroduodenal ulcer, including diagnosis, are also represented with graphic figures in the form of decision trees.