Derivation of a clinical prediction rule for evaluating patients with abdominal pain and diarrhea.
Publication/Presentation Date
5-1-2008
Abstract
OBJECTIVE: The objective of the study was to develop a simple prediction rule to reliably identify abdominal pain patients with diarrhea who may require surgical intervention.
METHODS: We performed a secondary analysis of a prospective cohort study of adults with acute nontraumatic abdominal pain and diarrhea in an urban emergency department (ED). Structured data collection included 109 historical and 28 physical examination items, laboratory and radiographic results, and final diagnosis. The main outcome was operative intervention.
RESULTS: One thousand patients were enrolled; 174 patients with diarrhea were included in this analysis. Patients had a mean age of 39 +/- 16 years and were likely to be female (64%) and black (60%). Fifteen (9%) patients received a surgical intervention from the ED. Clinical variables associated with the need for surgical intervention using univariate analysis were age older than 40 years, constant pain, and peritonitis on examination. Using recursive partitioning multivariate analysis, the derived prediction rule included 2 variables: age older than 40 years and constant pain. This rule had a sensitivity of 1.0 (95% confidence interval, 0.78-1.0) and specificity of 0.23 (95% confidence interval, 0.16-0.30).
CONCLUSION: Patients older than 40 years with constant abdominal pain and diarrhea are likely to have a surgical cause of their symptoms.
Volume
26
Issue
4
First Page
450
Last Page
453
ISSN
1532-8171
Published In/Presented At
Chen, E. H., Shofer, F. S., Dean, A. J., Hollander, J. E., Robey, J. L., Sease, K. L., & Mills, A. M. (2008). Derivation of a clinical prediction rule for evaluating patients with abdominal pain and diarrhea. The American journal of emergency medicine, 26(4), 450–453. https://doi.org/10.1016/j.ajem.2007.07.023
Disciplines
Business Administration, Management, and Operations | Health and Medical Administration | Management Sciences and Quantitative Methods
PubMedID
18410814
Department(s)
Administration and Leadership
Document Type
Article