2018
492. Long-Term Outcomes of Clostridium difficile Infection Among Medicare Beneficiaries
Hatfield K, Baggs J, Winston L, Parker E, Martin B, Meek J, Olson D, Farley M, Revis A, Holzbauer S, Bye M, Wilson L, Perlmutter R, Phipps E, Pierce R, Ocampo V, Kainer M, Smith M, McDonald L, Jernigan J, Guh A. 492. Long-Term Outcomes of Clostridium difficile Infection Among Medicare Beneficiaries. Open Forum Infectious Diseases 2018, 5: s182-s182. PMCID: PMC6253260, DOI: 10.1093/ofid/ofy210.501.Peer-Reviewed Original ResearchClostridium difficile infectionEmerging Infections ProgramDifficile infectionInclusion criteriaCommon healthcare-associated infectionsPrevention's Emerging Infections ProgramMultivariable logistic regression modelICD-9-CM codesOlder adultsDifficile stool testMedicaid Services beneficiariesNumber of hospitalizationsHealthcare-associated infectionsSkilled nursing facilitiesLong-term riskLogistic regression modelsSame catchment areaExcess morbidityHospitalization statusStool testPoor outcomeTerm outcomesAdjusted oddsCDI casesChronic conditions
2015
Identification of population at risk for future Clostridium difficile infection following hospital discharge to be targeted for vaccine trials
Baggs J, Yousey-Hindes K, Ashley ED, Meek J, Dumyati G, Cohen J, Wise ME, McDonald LC, Lessa FC. Identification of population at risk for future Clostridium difficile infection following hospital discharge to be targeted for vaccine trials. Vaccine 2015, 33: 6241-6249. PMID: 26450660, PMCID: PMC4702247, DOI: 10.1016/j.vaccine.2015.09.078.Peer-Reviewed Original ResearchConceptsEmerging Infections ProgramHigh-risk groupRisk groupsRisk scoreIndex hospitalizationHospital dischargeDerivation cohortVaccine trialsValidation cohortDifficile infectionCox proportional hazards modelRisk of CDIAcute care hospitalizationIdentification of patientsClostridium difficile infectionHospital discharge dataNumber of hospitalizationsLow-risk groupProportional hazards modelLarge academic centerAdmission diagnosisPrimary outcomeInpatient stayPatient populationPharmacy data