Explainable machine learning model for predicting minor amputation in diabetic foot ulcers

Table 2 Multivariable logistic regression analysis

Variables	B	P value	OR (95%CI)
PVC
No	Ref	Ref	Ref
Yes	0.486	0.009	1.626 (1.131-2.336)
PLT	0.001	0.356	1.001 (0.999-1.003)
MONO	0.792	0.111	2.208 (0.835-5.837)
SII	0.000	0.216	1.000 (1.000-1.000)
CALLY	-0.088	0.019	0.915 (0.850-0.986)
Lymph percentage	0.006	0.732	1.006 (0.971-1.042)
CRP	0.002	0.554	1.002 (0.996-1.008)
HDL-C	-0.700	0.093	0.496 (0.219-1.126)
ALB	-0.043	0.028	0.958 (0.921-0.996)
FIB	0.407	0.001	1.503 (1.176-1.920)
BUA	-0.002	0.089	0.998 (0.997-1.000)

ALB: Albumin; B: Regression coefficient; BUA: Blood uric acid; CALLY: C-reactive protein-albumin-lymphocyte; CRP: C-reactive protein; FIB: Fibrinogen; HDL-C: High-density lipoprotein cholesterol; MONO: Monocyte count; OR: Odds ratio; PLT: Platelet count; PVC: Pedal vessel calcification; Ref: Reference category; SII: Systemic immune-inflammation index.