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. 2021 Nov 13;77(7):1313–1320. doi: 10.1093/gerona/glab345

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© The Author(s) 2021. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

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Figure 2. — Mixed-effects random forest model of Operational Taxonomic Unit (OTU) abundance associated with duration of residence in the nursing home. Panel A shows the permuted variable importance of the top 10 OTUs that show changes in relative abundance associated with longer duration of residence in the nursing home with the most important contributor being the potential urinary pathogen Aerococcus urinae. Panel B shows the relative abundance of OTUs that show variation associated with duration of residence in the nursing home in the mixed-effect random forest (MERF) model with a significance of p < .1 plotted against time of residence within the nursing home. Each plotted point represents an individual sample. Three organisms, Aerococcus urinae, Dilaster pneumosinties, and Clostridium cluster XIVa, show high importance in the model and are significantly associated with increasing duration of residence in the nursing home.