Table 10.

Parameters of the logistic regression models.

Biomarker	AUC	Sp	Se	Cutoff	i	К
Placenta accreta
“Clusterin”	1	1	1	0.5	1832.89	−2232.65
“miR-21-5p + miR-92a-3p + miR-320a-3р”	1	1	1	0.5	4526.11	−141.53 −868.31 −244.95
“miR-21-5p + miR-92a-3p”	0.995	1	1	0.262	64.43	−3.32 −13.08
“miR-92a-3p + miR-320a-3p”	0.986	0.958	1	0.275	22.9	−4.02 −3.25
“miR-21-5p + miR-320a-3р”	0.958	1	0.888	0.425	11.39	−0.66 −2.19
Placenta increta
“Clusterin”	1	1	1	0.5	287.91	−372.61
“miR-21-5p + miR-320a-3p”	0.981	0.958	1	0.263	16.70	−1.25 −2.41
“miR-21-5p + miR-92a-3p + miR-320a-3р”	0.981	0.916	1	0.277	16.96	−1.24 −0.16 −2.34
“miR-21-5p”	0.958	1	0.933	0.73	12.35	−1.89
“miR-21-5p + miR-92a-3p”	0.958	1	0.933	0.545	15.59	−1.68 −1.25
Placenta percreta
“miR-320a-3p”	1	1	1	0.5	828.41	−298.44

AUC—area under the curve; Sp—specificity; Se—sensitivity; cutoff—intersection point at which there is a balance between sensitivity and specificity; i and K—coefficients used in Equation (1).