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.