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. 2019 Nov 5;99(1):59–68. doi: 10.1111/aogs.13706

Table 5.

Univariate analysis and multivariate analysis for prediction of cesarean delivery

Variables Univariate analysis Multivariate analysis
Odds ratio (95% CI) P Adjusted odds ratio (95% CI) P
Maternal height 0.907 (.864‐.952) <0.001 0.894 (0.845‐0.946) <0.001
BMI ≥30 kg/m2 2.257 (1.353‐3.767) 0.002
Multiparous 0.129 (.063‐.265) <0.001 0.102 (0.048‐0.22) <0.001
EFW 1.001 (1.000‐1.001) 0.023
Bishop score 0.605 (.515‐.71) <0.001
Cervical length 1.916 (1.451‐2.530) <0.001 1.717 (1.183‐2.492) 0.004
Angle of progression 0.953 (.931‐.974) <0.001
Inner cervical SWE 1.43 (1.214‐1.684) <0.001 1.338 (1.077‐1.663) 0.009

Binary logistic regression was performed.

Equation 1: Log(odds) = 13.686 – 2.279*parity (0 for nulliparous, 1 for multiparous)‐ 0.112*mat height + 0.541*cervical length + 0.291* inner cervical SWE.

Abbreviations: BMI, body mass index; EFW, estimated fetal weight; inner cervical SWE, mean of shear wave elasticity of anterior and posterior inner cervix.