Development and Validation of a Risk Score for Clostridium difficile Infection in Medicare Beneficiaries: A Population-Based Cohort Study

Marya D. Zilberberg, Andrew F. Shorr, Li Wang, Onur Baser, Holly Yu

Research output: Contribution to journalArticle

6 Scopus citations

Abstract

Objectives: To create a risk stratification score for Clostridium difficile infection (CDI) in elderly adults. Design: A sample from the Medicare 5% data set linked to Medicaid and Minimum Data Set (MDS) files from 2008 to 2009. Risk score was derived via a split-cohort through logistic regression model used to assign numerical values to each retained covariate. Score characteristics were tested using a threshold analysis. Setting: Community, long-term, and acute care settings. Participants: Population-based sample Medicare beneficiaries aged 65 and older on January 1, 2008, with continuous Medicare coverage from January 1, 2008, through December 31, 2009. Measurements: The primary outcome was incident CDI, defined as International Classification of Diseases, Ninth Revision, Clinical Modification code 008.45 or CDI according to the MDS, and no CDI in the preceding 12 months. Results: The cohort consisted of 6,838 participants with CDI and 1,158,327 without. Logistic regression modeling (hospitalization, nursing home stay, or antibiotics in prior year; inflammatory bowel, chronic liver, chronic kidney, or cardiac disease; aged ≥75, Northeast residence; c-statistic = 0.858) was used to determine to a score out of 22 possible points. A score of seven points (found in 18.8% of the total population) had a negative predictive value of 98.7%. Conclusion: CDI risk is high and age dependent in the population aged 65 and older. By stratifying risk, this score should help ensure efficient allocation of prevention resources.

Original languageEnglish (US)
Pages (from-to)1690-1695
Number of pages6
JournalJournal of the American Geriatrics Society
Volume64
Issue number8
DOIs
StatePublished - Aug 1 2016

ASJC Scopus subject areas

  • Geriatrics and Gerontology

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