Document Detail


Small bowel obstruction: computer-assisted prediction of strangulation at presentation.
MedLine Citation:
PMID:  3319029     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
A multivariate computer analysis has been performed on the presenting data of patients with simple small bowel obstruction that settled with conservative treatment (n = 120) and of patients with viable strangulation small bowel obstruction (n = 38) and non-viable strangulation small bowel obstruction (n = 39) found at operation. Initially only 66 per cent of patients with viable strangulation and 46 per cent of those with non-viable strangulation had been treated by immediate surgery after resuscitation. The remainder had been treated conservatively for a median of 3.8 and 2.2 days respectively before undergoing surgery. The computer predicted on the basis of presenting symptoms and signs that 82 per cent of patients with viable strangulation and 97 per cent of those with non-viable strangulation had or would develop strangulation and should have undergone immediate surgery. We advocate that the computer can assist in the management of patients with small bowel obstruction.
Authors:
J A Pain; D S Collier; R Hanka
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  The British journal of surgery     Volume:  74     ISSN:  0007-1323     ISO Abbreviation:  Br J Surg     Publication Date:  1987 Nov 
Date Detail:
Created Date:  1988-02-12     Completed Date:  1988-02-12     Revised Date:  2004-11-17    
Medline Journal Info:
Nlm Unique ID:  0372553     Medline TA:  Br J Surg     Country:  ENGLAND    
Other Details:
Languages:  eng     Pagination:  981-3     Citation Subset:  AIM; IM    
Affiliation:
Department of Surgery, Ipswich Hospital, UK.
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MeSH Terms
Descriptor/Qualifier:
Constriction, Pathologic / diagnosis
Diagnosis, Computer-Assisted*
Female
Humans
Infarction / diagnosis*
Intestinal Obstruction / diagnosis*,  surgery
Intestine, Small / blood supply*
Male
Middle Aged
Retrospective Studies
Time Factors

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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