A novel risk score to stratify severity of Crohn's disease hospitalizations

Ashwin N Ananthakrishnan1, Emily L McGinley, David G Binion

  • 1Division of Gastroenterology and Hepatology, Medical College of Wisconsin, Milwaukee, Wisconsin 53226, USA. aanantha@mcw.edu

Insights

A new risk score effectively predicts severe Crohn's disease (CD) hospitalizations. This tool helps stratify patient severity, aiding in better healthcare management for this chronic condition.

Area of Science:

  • Gastroenterology
  • Health Services Research
  • Clinical Epidemiology

Background:

  • Crohn's disease (CD) is a chronic condition with frequent hospitalizations.
  • Existing comorbidity indices are not optimized for predicting CD hospitalization severity.
  • There is a need for tools to stratify CD hospitalizations by severity.

Purpose of the Study:

  • To develop and validate a quantitative risk score for predicting severe hospitalizations in Crohn's disease patients.
  • To identify independent predictors of severe CD hospitalizations.

Main Methods:

  • Utilized Nationwide Inpatient Sample data (2004, 2007) for Crohn's disease hospitalizations.
  • Developed a risk score based on multivariate regression of independent predictors.
  • Defined severe hospitalization as requiring nonelective bowel surgery or >7-day stay.
  • Validated the score against Elixhauser and Charlson comorbidity indices.

Main Results:

  • A cohort of 25,938 CD hospitalizations was analyzed; 23.8% were severe.
  • Key predictors included disease phenotype, anemia, malnutrition, blood transfusion, parenteral nutrition, C. difficile infection, teaching hospital admission, and inter-hospital transfer.
  • The risk score (0-13 points) showed intermediate (OR 2.63) and high (OR 13.62) scores significantly associated with severe hospitalizations.

Conclusions:

  • A simple, quantitative risk score was developed using administrative data to assess Crohn's disease hospitalization severity.
  • This score can aid in stratifying risk and potentially improving patient management.
Abstract

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