Applying classification trees to hospital administrative data to identify patients with lower gastrointestinal bleeding

Juned Siddique, Gregory W. Ruhnke, Andrea Flores, Micah T. Prochaska, Elizabeth Paesch, David O. Meltzer, Chad T. Whelan

Research output: Contribution to journalArticle

8 Scopus citations

Abstract

Background. Lower gastrointestinal bleeding (LGIB) is a common cause of acute hospitalization. Currently, there is no accepted standard for identifying patients with LGIB in hospital administrative data. The objective of this study was to develop and validate a set of classification algorithms that use hospital administrative data to identify LGIB. Methods. Our sample consists of patients admitted between July 1, 2001 and June 30, 2003 (derivation cohort) and July 1, 2003 and June 30, 2005 (validation cohort) to the general medicine inpatient service of the University of Chicago Hospital, a large urban academic medical center. Confirmed cases of LGIB in both cohorts were determined by reviewing the charts of those patients who had at least 1 of 36 principal or secondary International Classification of Diseases, Ninth revision, Clinical Modification (ICD-9-CM) diagnosis codes associated with LGIB. Classification trees were used on the data of the derivation cohort to develop a set of decision rules for identifying patients with LGIB. These rules were then applied to the validation cohort to assess their performance. Results. Three classification algorithms were identified and validated: a high specificity rule with 80.1% sensitivity and 95.8%specificity, a rule that balances sensitivity and specificity (87.8% sensitivity, 90.9%specificity), and a high sensitivity rule with 100% sensitivity and 91.0% specificity. Conclusion. These classification algorithms can be used in future studies to evaluate resource utilization and assess outcomes associated with LGIB without the use of chart review.

Original languageEnglish (US)
Article numbere0138987
JournalPloS one
Volume10
Issue number9
DOIs
StatePublished - Sep 25 2015

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Agricultural and Biological Sciences(all)
  • General

Fingerprint Dive into the research topics of 'Applying classification trees to hospital administrative data to identify patients with lower gastrointestinal bleeding'. Together they form a unique fingerprint.

  • Cite this

    Siddique, J., Ruhnke, G. W., Flores, A., Prochaska, M. T., Paesch, E., Meltzer, D. O., & Whelan, C. T. (2015). Applying classification trees to hospital administrative data to identify patients with lower gastrointestinal bleeding. PloS one, 10(9), [e0138987]. https://doi.org/10.1371/journal.pone.0138987