Table 4.

Model fit for univariable, bivariable, and multivariable models for the risk of no remission at 12 months at different landmark times

Model	AIC	R2, %
Baseline landmark time
Univariable: anti-PLA2R Ab only	100.3	21.5
Multivariable: anti-PLA2R Ab+creatinine clearance	96.4	30.1
3-mo landmark time
Bivariable: anti-PLA2R Ab onlya	88.7	33.1
Multivariable: anti-PLA2R Aba + albumina	70.9	51.8
6-mo landmark time
Bivariable: anti-PLA2R antibody onlya	88.6	33.2
Multivariable: anti-PLA2R Aba + Creatinine clearancea + albumina	68.6	53.0

Results are presented for the risk of not experiencing remission at 12 months using the univariable, bivariable, and multivariable models from Supplemental Table 3 at a baseline landmark time, Table 3 at a 3-month landmark time, and Supplemental Table 4 at a 6-month landmark time. Only predictor variables with P < 0.05 in the multivariable models are listed in the table. A lower AIC and higher R² values indicate better model fit. AIC, Akaike information criterion; PLA2R, phospholipase A2 receptor; Ab, antibody levels.

^aIncludes adjustment for baseline values.