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. 2012 Jun 18;119(9):1123–1130. doi: 10.1111/j.1471-0528.2012.03405.x

Table 3.

Modelling of the primary and secondary outcomes of the HYPITAT trial as a function of treatment (expectant monitoring versus labour induction), cervical length and the interaction between treatment and cervical length

Variables Maternal high-risk situation* Caesarean delivery* Adverse neonatal outcome*



Coeff. ± SE P-value Coeff. ± SE P-value Coeff. ± SE P-value
Intercept −0.71 ± 0.32 −2.19 ± 0.45 −2.99 ± 0.73
Treatment (EM versus LI) −0.37 ± 0.50 0.42 −0.06 ± 0.62 0.91 0.72 ± 0.93 0.44
Cervical length (cm) −0.03± 0.10 0.78 0.13 ± 0.14 0.32 0.09 ± 0.22 0.67
Treatment × cervical length 0.31± 0.14 0.03 0.13 ± 0.19 0.48 −0.14 ± 0.29 0.64

EM, expectant management (treatment coding = 1), LI, labour induction (treatment coding = 0), Coeff., coefficient, SE, standard error.

When woman is managed expectantly (treatment code = 1) every centimetre longer for cervical length at randomisation is associated with a 32% increase in the risk of maternal high-risk situations (exp [−0.03 + 0.31] = 1.32). When the labour is induced (treatment code = 0), every centimetre longer for cervical length at randomisation is associated with a 3% decrease in the risk of maternal high-risk situations (exp [−0.03] = 0.97).

*

All models were fit based on the Hosmer–Lemeshow goodness-of-fit test (P ≥ 0.75, high P-values indicate good fit).