ArticleAmerican journal of infection control2016
Models to predict prevalence and transition dynamics of methicillin-resistant Staphylococcus aureus in community nursing homes.
Article in American journal of infection control, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review of transmission dynamic studies of methicillin-resistant Staphylococcus aureus in non-hospital residential facilities.BMC infectious diseases · 2018Pooled it
- Application of Markov models to predict changes in nasal carriage ofJournal of occupational and environmental hygiene · 2022Article
- Quantifying the relative impact of contact heterogeneity on MRSA transmission in ICUs - a modelling study.BMC infectious diseases · 2020Article
- Prevalence and Molecular Genetics of Methicillin-ResistantThe Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2020Article
- Nasal colonization with methicillin-resistant Staphylococcus aureus among elderly living in nursing homes in Brazil: risk factors and molecular epidemiology.Annals of clinical microbiology and antimicrobials · 2018Article
- Acquisition and persistence of strain-specific methicillin-resistant Staphylococcus aureus and their determinants in community nursing homes.BMC infectious diseases · 2017Article
- Assessing type I error and power of multistate Markov models for panel data-A simulation study.Communications in statistics: Simulation and computation · 2017Article
- Identifying conditions for elimination and epidemic potential of methicillin-resistant Staphylococcus aureus in nursing homes.Antimicrobial resistance and infection control · 2016Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
backgroundRecent spread of USA300 methicillin-resistant Staphylococcus aureus (MRSA) to nursing homes has been of particular concern. We sought to predict the ultimate prevalence of USA300 and non-USA300 MRSA and to examine the influence of potential risk factors on MRSA acquisition in community nursing homes.
methodsThe data were collected during a longitudinal MRSA surveillance study that involved 449 residents in 6 community nursing homes in Wisconsin. The subjects were screened every 3 months for up to 1 year. Markov chain models were employed to predict strain-specific prevalence of MRSA at steady state, and to assess the influence of potential risk factors, including recent hospitalizations, invasive medical devices, and antibiotic exposure on MRSA acquisition rates and average duration of colonization.
resultsAt steady state, 20% (95% confidence interval [CI], 15%-25%) of residents were predicted to remain colonized with non-USA300 and 4% (95% CI, 2%-7%) with USA300 MRSA. Residents who used antibiotics during the previous 3 months were twice more likely to acquire MRSA than those who did not (acquisition rates, 0.052; 95% CI, 0.038-0.075 and 0.025; 95% CI, 0.018-0.037, respectively).
conclusionsNon-USA300 was predicted to remain the dominant MRSA strain in community nursing homes. The higher rate of MRSA acquisition among residents with recent antibiotic exposure suggests that antibiotic stewardship may reduce MRSA colonization in this setting.
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