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Dataset Information

Prediction of acute appendicitis among patients with undifferentiated abdominal pain at emergency department.


ABSTRACT:

Background

Early screening and accurately identifying Acute Appendicitis (AA) among patients with undifferentiated symptoms associated with appendicitis during their emergency visit will improve patient safety and health care quality. The aim of the study was to compare models that predict AA among patients with undifferentiated symptoms at emergency visits using both structured data and free-text data from a national survey.

Methods

We performed a secondary data analysis on the 2005-2017 United States National Hospital Ambulatory Medical Care Survey (NHAMCS) data to estimate the association between emergency department (ED) patients with the diagnosis of AA, and the demographic and clinical factors present at ED visits during a patient's ED stay. We used binary logistic reg

SUBMITTER: Su D 

PROVIDER: S-EPMC8759254 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature