STATISTICAL ANALYSIS
Clinical continuous data were expressed as mean and standard deviation,
categorical variables were expressed as number and percentage.
Comparison continuous variables were performed with Student’s t-test for
unpaired data. For the categorical variables we performed a Chi-Squared
test for the comparison of two proportions (from independent samples).
We performed a logistic univariate regression analysis to assess the
association of complications during the delivery and cardiovascular or
maternal demographic parameters.
A receiver operating characteristics (ROC) curve was constructed for
each hemodynamic parameter, to identify the best cut-off and convert the
continuous variables into categorical. We performed a univariate binary
logistic regression analysis and odds ratios were calculated.
In conclusion, a multivariate binary logistic regression analysis was
performed including the hemodynamic and maternal significant variables.
Since CO and blood pressure values were included in the SVR formula, and
are related to each other, only SVR was included in the multivariate
binary logistic regression analysis.
The statistical analysis was performed using MedCalc Statistical
Software (MedCalc Software bvba, Ostend, Belgium;
https://www.medcalc.org; 2016). Statistical significance was set to p
< 0,05.