TABLE III.

Fit Indices Used to Determine the Final Trajectory Model^*

Model	AIC	BICa	BLRT P Value	Latent Class Probability Range	Entropy	Sample Size per Trajectory Based on Most Likely Membership
1 trajectory	3,622.94	3,626.08	—	1.0	—	220
2 trajectories	3,687.19	3,690.56	<0.001	0.92-0.98	0.902	189/31
3 trajectories	3,628.61	3,632.65	<0.001	0.84-0.90	0.700	75/28/117
4 trajectories	3,594.92	3,599.64	<0.001	0.84-0.99	0.769	71/28/116/5
3 trajectories with baseline pain covariate†‡	3,293.51	3,296.59	<0.001	0.87-0.93	0.740	78/26/98

^*AIC = Akaike information criterion, BIC_a = adjusted Bayesian information criterion, and BLRT = bootstrapped Lo-Mendell-Rubin test.

^†Model with the best fit to the data that respected all criteria (lower AIC and BIC_a values, smallest trajectory with n >5%, adequate classification accuracy).

^‡Addition of baseline pain as a covariate resulted in an adjusted sample size of n = 202.