Publications by authors named "Marta Choliz Ezquerro"
The utility of fetal heart rate deceleration's descending slope in searching for a non-National Institute of Child Health and Human Development parameter for the detection of fetal acidosis.
Int J Gynaecol Obstet
August 2024
Objective: To identify new parameters predicting fetal acidemia.
Methods: A retrospective case-control study in a cohort of deliveries from a tertiary referral hospital-based cohort deliveries in Zaragoza, Spain between 2018 and 2021 was performed. To predict fetal acidemia, the NICHD categorizations and non-NICHD parameters were analyzed in the electronic fetal monitoring (EFM).
Article Synopsis
- Electronic fetal monitoring (EFM) is the standard method used to monitor fetal health during labor, and this study aimed to use machine learning to predict fetal acidemia based on EFM data.
- A case-control study involved 378 infants, using models such as logistic regression, random forest, and neural networks to analyze the data, with the random forest model showing the best performance (AUC of 0.865).
- The findings suggest that the predictive model effectively identifies acidemia and could reduce unnecessary cesarean sections while maintaining good accuracy.
Diagnostic capacity and interobserver variability in FIGO, ACOG, NICE and Chandraharan cardiotocographic guidelines to predict neonatal acidemia.
J Matern Fetal Neonatal Med
December 2022
Objective: Despite its routine use in intrapartum care, the technique of fetal cardiotocography has some limitations. The aim of this study is to analyze the predictive capacity and interobserver agreement in the latest versions of four international cardiotocography guidelines: Federation of Gynecology and Obstetrics (FIGO), American College of Obstetrics and Gynecology (ACOG), the National Institute for Health and Care Excellence (NICE) and Chandraharan, used to predict neonatal acidemia.
Study Design: The last 30 min of 150 cardiotocographic records were analyzed over all the pH ranges and were blindly evaluated by three independent reviewers.
Objective: The main objective is to study the predictive capacity of intrapartum total fetal reperfusion (fetal resilience) by itself or in combination with other parameters as a predictor of neonatal acidemia.
Study Design: A retrospective case-control study was carried out at the Miguel Servet University Hospital (Zaragoza, Spain) on a cohort of 5694 pregnant women between June 2017 and October 2018. Maternal, perinatal, and cardiotocographic records were collected.
Objective: To explore the predictive value of serum human epididymis protein 4 (HE4) marker in the preoperative prediction of the risk of advanced disease in the endometrioid subtype of endometrial cancer, and its association with poor prognostic factors. In addition, a cut-off value of HE4 was defined to classify patients according to these results.
Methods: Prospective and multicenter cohort analytical pilot study of patients operated for endometrial cancer at the Miguel Servet University Hospital of Zaragoza (Spain) and the Complejo Universitario of León (Spain) from January 2017 to May 2019.
Objective: To develop fetal growth standards for twin gestations by placental chorionicity in a Spanish population and compare them with European and American standards to estimate the suitability of their use in clinical practice.
Study Design: This was a retrospective cohort study of 518 twin pregnancies, 435 dichorionic-diamniotic and 83 monochorionic-diamniotic, performed between January 2012 and December 2017. A total of 4,783 and 1,455 estimated fetal weights were considered from the 17 to the 37 week of gestation, using multilevel models, to build dichorionic-diamniotic and monochorionic-diamniotic standards, respectively.