Effects of EA on pH, BE, admission to NICU, APGAR scores and perinatal
mortality were tested with linear or logistic regression, respectively,
as
appropriate. Propensity scores were used as covariates to adjust for
potential risk factors (A). Duration and mode of delivery and episiotomy
were
included in all models as further confounders (B). Due to missing values
in the outcome variables, the absolute number of cases for the
underlying
models differed between endpoints. In the logistic regressions, a
positive effect estimate is understood as a higher chance of the
endpoint to
happen, when EA is applied. In linear regressions, the effect estimates
are the proposed mean changes in the end-point variable with EA being
used.
BE, base excess; NICU, neonatal intensive care unit; AS5<7,
Apgar score after 5 minutes below 7.
†, 97.5% CI; *, 95% CI