Literature DB >> 24552133

A retrospective analysis of clinical characteristics, hospitalization, and functional outcomes in residents with and without Clostridium difficile infection in US long-term care facilities.

Howard S Friedman1, Prakash Navaratnam, Gregory Reardon, Kevin P High, Marcie E Strauss.   

Abstract

OBJECTIVE: Patients in long-term care (LTC) are at increased risk for acquiring Clostridium difficile infection (CDI). We compared the characteristics and outcomes of matched cohorts with and without CDI in the LTC setting.
METHODS: Using a retrospective cohort design, demographic characteristics, Minimum Data Set (MDS 2.0) assessments (years 2007-2010), and pharmacy records of residents were analyzed. Residents were required to have a CDI diagnosis, ≥1 MDS 2.0 assessment ≤120 days pre- and post-index event, and receipt of metronidazole (MET) or vancomycin (VAN) within ±7 days of index date. Baseline characteristics were compared between cases and controls matched 1:3 on age, gender, and index year. Cox regression (CR) analysis evaluated the relationship between CDI status, and post-index mortality and hospitalization.
RESULTS: A total of 1145 CDI residents were matched with 3488 non-CDI residents. A second sample used propensity score methods. CDI vs. non-CDI residents had a higher baseline comorbidity burden (Charlson score: 3.0 ± 1.9 vs. 2.2 ± 1.8, respectively), and were more likely to have had a recent hospitalization (63% vs. 9%, respectively) and shorter mean pre-index continuous length of stay (cLOS) in the LTC (386.4 d ± 536.3 d vs. 568.3 d ± 567.4 d, respectively), all P < 0.0001. CR analyses of both samples indicated that CDI was strongly associated with shorter times to hospitalization and mortality (hazard ratio (HR) = 1.3, P = 0.023 and 2.2, P < 0.0001, respectively; propensity-matched group). Pre-index LTC cLOS also remained an important variable in the CR analysis and was the strongest predictor of post-index hospitalization and mortality (HR = 0.999 and 0.996, respectively, P < 0.0001), indicating that residents with longer pre-index LTC cLOS had longer times to post-index hospitalization and mortality. Our reliance on the MDS records for case identification was our chief limitation; misclassification was mitigated by our requirement to include CDI treatment as part of our inclusion criteria.
CONCLUSIONS: Understanding factors that put LTC patients at risk for CDI can help guide better management and improvement of patient outcomes.

Entities:  

Keywords:  Clostridium difficile infection; Infectious diarrhea; Long-term care; Outcomes; Retrospective analysis; Risk factors; Survival analysis

Mesh:

Year:  2014        PMID: 24552133     DOI: 10.1185/03007995.2014.895311

Source DB:  PubMed          Journal:  Curr Med Res Opin        ISSN: 0300-7995            Impact factor:   2.580


  5 in total

1.  Burden of Clostridium difficile infection between 2010 and 2013: Trends and outcomes from an academic center in Eastern Europe.

Authors:  Zsuzsanna Kurti; Barbara D Lovasz; Michael D Mandel; Zoltan Csima; Petra A Golovics; Bence D Csako; Anna Mohas; Lorant Gönczi; Krisztina B Gecse; Lajos S Kiss; Miklos Szathmari; Peter L Lakatos
Journal:  World J Gastroenterol       Date:  2015-06-07       Impact factor: 5.742

2.  Infection Trends in US Nursing Homes, 2006-2013.

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

3.  [Diagnostic workup and therapy of infectious diarrhea. Current standards].

Authors:  A Stallmach; S Hagel; A W Lohse
Journal:  Internist (Berl)       Date:  2015-12       Impact factor: 0.743

4.  Measuring health related quality of life (HRQoL) in community and facility-based care settings with the interRAI assessment instruments: development of a crosswalk to HUI3.

Authors:  John P Hirdes; Julie Bernier; Rochelle Garner; Philippe Finès; Micaela Jantzi
Journal:  Qual Life Res       Date:  2018-02-12       Impact factor: 4.147

5.  Evaluation of a risk score to predict future Clostridium difficile disease using UK primary care and hospital data in Clinical Practice Research Datalink.

Authors:  Clare Marley; Yassine El Hahi; Germano Ferreira; Laura Woods; Ana Ramirez Villaescusa
Journal:  Hum Vaccin Immunother       Date:  2019-04-04       Impact factor: 3.452

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.