Statistical analysis
Statistical analysis was performed with SPSS 25.0 (SPSS, Inc., Chicago, IL). Categorical variables are presented as percentages and were compared using the chi-square and Fisher’s exact tests, as appropriate. Continuous variables are presented as mean and standard deviation; comparisons were made using Student’s t-test for normally distributed data and the Mann-Whitney U test for non-normally distributed data. All analyses were two sided, and a p value of < 0.05 was considered statistically significant.
Predictors of composite adverse maternal and neonatal outcomes were sought using a multinomial logistic regression model. For this analysis, composite maternal and neonatal outcomes were the dependent variable, whereas trauma scores, demographic details, and positive FCM test as a categorical variable, were independent variables. These confounders were identified according to their clinical significance and/or their statistical significance evaluated in the univariate analysis, and included in the multivariate analysis (vaginal bleeding at admission, uterine contractions at admission, multifetal gestation, and hospitalization). Adjusted Odds Ratios (aOR) and 95% confidence intervals (CI) were computed.