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.