Table 3.

Model inclusion variables and logistic regression coefficients.

Index	β
Bacteroides fragilis	0.33
Barnesiella intestinihominis	-0.16
Bifidobacterium longum	0.20
Clostridium bolteae	1.82
Escherichia coli	0.08
Klebsiella pneumoniae	0.14
Megamonas funiformis	-0.19
Parabacteroides merdae	-0.29
Subdoligranulum unclassified	-0.14

Receiver operating characteristics (ROC) curves predict age in the training and test dataset. ROC (Bacteroides fragilis, Barnesiella intestinihominis, Bifidobacterium longum, Clostridium bolteae, Escherichia coli, Klebsiella pneumoniae, Megamonas funiformis, Parabacteroides merdae, and Subdoligranulum unclassified) based on multifactor logistic regression.