Marya D Zilberberg1,2, Andrew F Shorr3, Li Wang4, Onur Baser5,6, Holly Yu7. 1. EviMed Research Group, LLC, Goshen, Massachusetts. 2. School of Public Health and Health Sciences, University of Massachusetts, Amherst, Massachusetts. 3. Washington Hospital Center, Washington, District of Columbia. 4. STATinMED Research, Ann Arbor, Michigan. 5. Center for Innovation & Outcomes Research, Department of Surgery, Columbia University, New York, NY. 6. STATinMED Research, New York, NY. 7. Pfizer, Inc., Collegeville, Pennsylvania.
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.
OBJECTIVES: To create a risk stratification score for Clostridium difficileinfection (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.
Authors: Carolyn T A Herzig; Andrew W Dick; Mark Sorbero; Monika Pogorzelska-Maziarz; Catherine C Cohen; Elaine L Larson; Patricia W Stone Journal: J Am Med Dir Assoc Date: 2017-05-25 Impact factor: 4.669
Authors: Laurie Aukes; Bruce Fireman; Edwin Lewis; Julius Timbol; John Hansen; Holly Yu; Bing Cai; Elisa Gonzalez; Jody Lawrence; Nicola P Klein Journal: Open Forum Infect Dis Date: 2021-02-04 Impact factor: 3.835