Figure 1.

Clinical and demographic variables that predict microbiome composition. Results from mixed-effect random forest modeling using all demographic and clinical variables (including each medication taken and clinical scoring systems for frailty, nutrition, and comorbidities) to predict species abundance in the gastrointestinal tract. (A) Ranking of forest predictors based on frequency of significance (# of times a predictor is found to be significantly associated with a microbe over the total number of modeled species). Significance was determined by running permutated importance analysis calculations and using an FDR adjusted p-value of .05. (B) Pie chart to illustrate the distribution of the clinical factors found by the modeling to be significantly associated with the NH microbiome. Drugs were grouped by treatment class. NH = nursing home.