Predictors of 30-Day Mortality in Hospitalized Patients with Clostridium difficile Infection

Jayakrishna Chintanaboina1, Seyedehsan Navabi1, Kristen Suchniak-Mussari1

  • 1From the Department of Gastroenterology, Division of General Internal Medicine, Penn State Hershey Medical Center, Hershey, Pennsylvania.

Insights

Advanced age, peptic ulcer disease, Charlson comorbidity index, and ICU status predict 30-day mortality in hospitalized patients with Clostridium difficile infection (CDI). Identifying these factors aids in managing this common nosocomial infection.

Area of Science:

  • Infectious Diseases
  • Epidemiology
  • Critical Care Medicine

Background:

  • Clostridium difficile infection (CDI) is a leading cause of hospital-acquired infections in the US, costing billions annually.
  • Epidemiological shifts in CDI necessitate identifying new risk factors for both initial and recurrent infections.
  • Understanding predictors of mortality is crucial for improving patient outcomes and resource allocation.

Purpose of the Study:

  • To identify independent predictors of 30-day all-cause mortality in hospitalized patients diagnosed with Clostridium difficile infection.
  • To analyze risk factors associated with mortality following an incident CDI diagnosis.

Main Methods:

  • Retrospective cohort study of 893 patients diagnosed with CDI between January 2011 and December 2014.
  • Data extraction via electronic medical records and chart review.
  • Multivariable logistic regression analysis to determine significant predictors of 30-day mortality.

Main Results:

  • Of 893 CDI patients, 98 (10.97%) died within 30 days.
  • Significant predictors of 30-day mortality included peptic ulcer disease, advanced age, Charlson comorbidity index, and intensive care unit (ICU) status.
  • No significant association was found between acid suppression therapy and CDI-related mortality.

Conclusions:

  • Advanced age, Charlson comorbidity index, ICU admission, and peptic ulcer disease are key predictors of 30-day mortality in hospitalized CDI patients.
  • These findings can inform clinical risk stratification and management strategies for CDI.
  • Further research may explore interventions targeting these identified risk factors.
Abstract