Table 5.

Evaluation of the effects of CRP, PIV, and SII on remission and active RA groups with multiple binary logistic regression analyses.

	Regression coefficients*
	β	S.E.	Wald statistics	p	Exp(β)	95% C.I. for exp(β)
						Lower	Upper
Model 1: remission vs control
Constant	−2.818	0.683	17.011	<0.001*	0.060
PIV	0.011	0.003	13.196	<0.001*	1.011	1.005	1.017
Model 2: active RA vs control
Constant	−6.543	1.379	22.525	<0.001*	0.001
CRP	0.219	0.102	4.568	0.033*	1.244	1.018	1.520
SII	4.207	1.092	14.848	<0.001*	67.128	7.901	570.356
Model 3: active RA vs remission
Constant	−3.373	0.885	14.515	<0.001*	0.034
CRP	0.594	0.189	9.895	0.002*	1.811	1.251	2.623

Elimination method: Backward Wald, P values in bold indicate statistical significance (*P < 0.05 was statistical significant).