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Cited by 474

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Prediction of outcome in acute pancreatitis: A comparative study of APACHE II, clinical assessment and multiple factor scoring systems

Wilson, C, Heath, D I, Imrie, C W·1990·Journal of British Surgery

Abstract

The APACHE II severity of disease classification system has been examined prospectively in 160 patients with acute pancreatitis. Using clinical and simple laboratory data APACHE II was able to provide useful discrimination between uncomplicated, complicated and fatal attacks within a few hours of admission. Peak APACHE II scores (recorded during the first 3 days) had a prognostic accuracy similar to the multiple factor scoring systems, but then incurred a similar delay. Patients could be graded according to their risk of death or of developing a major complication; no deaths occurred in patients with a peak APACHE II score < 10. APACHE II can be repeated daily, uncomplicated attacks demonstrating falling scores in association with clinical improvement, in contrast to the rising scores associated with clinical deterioration in those dying early. APACHE II appears to reflect any continuing disease activity and may prove a useful means of monitoring the course of the illness and response to therapy.

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Metadata

Authors
Wilson, C., Heath, D. I., & Imrie, C. W.
Venue
Journal of British Surgery
Published
1990-11-01
Volume
77
Issue
11
Pages
1260-1264
ISSN
  • 0007-1323 (ISSN-L)
  • 1365-2168
OpenAlex
W1976613702
Cited by
474
References
0
FWCI
12.78
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Prediction of outcome in acute pancreatitis: A comparative study of APACHE II, clinical assessment and multiple factor scoring systems. https://app.cochat.ai/papers/10.1002/bjs.1800771120
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Wilson, C., Heath, D. I., & Imrie, C. W. (1990). Prediction of outcome in acute pancreatitis: A comparative study of APACHE II, clinical assessment and multiple factor scoring systems. Journal of British Surgery. https://doi.org/10.1002/bjs.1800771120

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.