Introducing an efficient model for the prediction of placenta accreta spectrum using the MCP regression approach based on sonography indexes: how efficient is sonography in diagnosing accreta?

Table 1 Baseline and clinical characteristics of the study population*

Variable	Sub group	Low risk (n = 185)	High risk (n = 74)†	p-value
Age - yrs		31.43 ± 4.48	33.19 ± 4.25	0.004
Site of placenta - no. (%)	Anterior high	142 (76.3)	0	< 0.001
	Fundal posterior high	34 (18.3)	0
	Lateral high	10 (5.4)	0
	Anterior low lying	0	9 (12.2)
	Posterior low lying	0	7 (9.5)
	Lateral low lying	0	2 (2.7)
	Anterior previa	0	18 (24.3)
	Posterior previa	0	6 (8.1)
Number of Caesarean sections - median (interquartile range)		2 (1, 2)	1 (1, 2)	0.003
Gestational age at diagnosis - wks		34.80 ± 3.46	32.01 ± 5.35	< 0.001
Gestational age at time of delivery - wks		38.30 ± 1.87	34.14 ± 4.97	< 0.001
Time of first Caesarean section - wks		4.90 ± 2.70	4.96 ± 2.87	0.88
Risk factors - no. (%)‡	No	171 (92.4)	67 (90.5)	0.614
Risk factors - no. (%)‡	Yes	14 (7.6)	7 (9.5)	0.614

*All plus-minus values are means and standard deviations unless stated otherwise
†High risk individuals were those who had low lying placenta or placenta previa
‡Risk factors included: rupture of uterus, dilation and curettage, myomectomy and other operations

ISSN: 1471-2393