Correction: Length of stay following cesarean sections: A population based study in the Friuli Venezia Giulia region (North-Eastern Italy), 2005-2015

Predictive Analysis of Hospital Stay after Caesarean Section: A Single-Center Study

Caesarean section (CS) rate has seen a significant increase in recent years, especially in industrialized countries. There are, in fact, several causes that justify a CS; however, evidence is emerging that non-obstetric factors may contribute to the decision. In reality, CS is not a risk-free procedure. The intra-operative, post-pregnancy risks and risks for children are just a few examples. From a cost point of view, it must be considered that CS requires longer recovery times, and women often stay hospitalized for several days. This study analyzed data from 12,360 women who underwent CS at the “San Giovanni di Dio e Ruggi D’Aragona” University Hospital between 2010 and 2020 by multiple regression algorithms, including multiple linear regression (MLR), Random Forest, Gradient Boosted Tree, XGBoost, and linear regression, classification algorithms and neural network in order to study the variation of the dependent variable (total LOS) as a function of a group of independent variables. We identify the MLR model as the most suitable because it achieves an R-value of 0.845, but the neural network had the best performance (R = 0.944 for the training set). Among the independent variables, Pre-operative LOS, Cardiovascular disease, Respiratory disorders, Hypertension, Diabetes, Haemorrhage, Multiple births, Obesity, Pre-eclampsia, Complicating previous delivery, Urinary and gynaecological disorders, and Complication during surgery were the variables that significantly influence the LOS. Among the classification algorithms, the best is Random Forest, with an accuracy as high as 77%. The simple regression model allowed us to highlight the comorbidities that most influence the total LOS and to show the parameters on which the hospital management must focus for better resource management and cost reduction.

Caesarean Section on Maternal Request: An Italian Comparative Study on Patients' Characteristics, Pregnancy Outcomes and Guidelines Overview

In recent years, the rate of caesarean sections has risen all over the world. Accordingly, efforts are being made worldwide to understand this trend and to counteract it effectively. Several factors have been identified as contributing to the selection of caesarean section (CS), especially an obstetricians' beliefs, attitudes and clinical practices. However, relatively few studies have been conducted to understand the mechanisms involved, to explore influencing factors and to clearly define the risks associated with the caesarean section on maternal request (CSMR). This comparative study was conducted to elucidate the factors influencing the choice of CSMR, as well as to compare the associated risks of CSMR to CS for breech presentation among Italian women. From 2015 to 2018, a total of 2348 women gave birth by caesarean section, of which 8.60% (202 women) chose a CSMR. We found that high educational attainment, use of assisted reproductive technology, previous operative deliveries and miscarriages within the obstetric history could be positively correlated with the choice of CSMR in a statistically significant way. This trend was not confirmed when the population was stratified based on patients' characteristics, obstetric complications and gestational age. Finally, no major complications were found in patients that underwent CSMR. We believe that it is essential to evaluate patients on a case-by-case basis. It is essential to understand the personal experience, to explain the knowledge available on the subject and to ensure a full understanding of the risks and benefits of the medical practice to guarantee the patients not only their best scientific preparation but also human understanding.