The Predictability of Cystatin C for Peripheral Arterial Disease in Chinese Population with Type 2 Diabetes Mellitus

Table 3

AUCs, cut-off, sensitivity, and specificity of risk factors in ROC analysis to predict PAD.

Characteristics	AUC	95% CI	Cut-off	Sensitivity	Specificity	Youden index
eGFR	0.728	0.682-0.773	95.500	0.692	0.678	0.369
CysC (mg/L)	0.716	0.669-0.762	0.915	0.767	0.594	0.360
BMG (mg/L)	0.713	0.665-0.761	2.240	0.633	0.720	0.353
Diabetes course (years)	0.688	0.638-0.738	11.500	0.644	0.638	0.282
RBC (10^12/L)	0.668	0.619-0.717	4.455	0.617	0.671	0.288
uCREA (mg/L)	0.663	0.614-0.711	5.840	0.704	0.581	0.286
uMALB (mmol/L)	0.649	0.596-0.702	21.380	0.479	0.768	0.247
BUN (mmol/L)	0.616	0.562-0.670	6.550	0.392	0.798	0.190
CREA (umol/L)	0.581	0.523-0.638	73.400	0.383	0.789	0.173
WBC (10^9/L)	0.574	0.520-0.628	8.975	0.225	0.913	0.138
PLT (10^9/L)	0.563	0.510-0.616	206.500	0.742	0.371	0.113
RBP (mg/L)	0.541	0.489-0.593	42.350	0.533	0.563	0.097

Abbreviations: AUC: area under curve; ROC: receiver operating characteristic; PAD: peripheral artery disease; 95% CI: 95% credibility interval; eGFR: estimated glomerular filtration rate; CysC: cystatin C; BMG: beta 2 microglobulin; RBC: red blood cell; uCREA: urine creatinine; uMALB: urine microalbumin; BUN: urea nitrogen; CREA: creatinine; WBC: white blood cell; PLT: platelets; RBP: retinol binding protein.