Table 3.

ROC analysis results of factors affecting the degree of disability in MS patients.

Index	The best cut-off value	AUC (95% CI)	Sensitivity	Specificity	P
ALB	44.200	0.681 (0.552, 0.811)	0.852	0.511	0.010*
Total number of lesions	5.500	0.665 (0.539, 0.791)	0.704	0.644	0.020*
Combined diagnosis	0.420	0.795 (0.693, 0898)	0.778	0.733	<0.001**

^*P < 0.05,

^**P < 0.01; The AUC of ALB was 0.681, P < 0.05, and the best cut-off value was 44.2 g/L. Its sensitivity to predict the degree of disability in patients with multiple sclerosis was 85.2% and the specificity is 51.1%. The AUC of the total number of lesions was 0.665, P < 0.05, and the best cut-off value was 5.5. Its sensitivity to predict the degree of disability in patients with multiple sclerosis was 70.4%, and the specificity was 64.4%. The AUC of combined ALB, total number of lesions, and drug use was 0.795, P < 0.05, sensitivity was 77.8, and specificity was 73.3%. The optimal diagnostic cut-off value of the regression equation for the EDSS score of patients with multiple sclerosis was 0.420.