Fetal Heart Rate Changes and Labor Neuraxial Analgesia: a Machine Learning Approach

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

1077 participants

Study Classification

OBSERVATIONAL

Study Start Date

2021-06-09

Study Completion Date

2022-05-05

Brief Summary

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This study aims to perform statistical inference and prediction of changes in fetal heart rate during active labor in healthy pregnant women by comparing three different machine learning methods

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Detailed Description

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Purpose: This study aims to perform statistical inference and prediction of changes in fetal heart rate during active labor in healthy pregnant women by comparing three different machine learning methods. Methods: A retrospective analysis of 1077 healthy laboring parturients receiving neuraxial analgesia was conducted. We compared a principal components regression model with treebased random forest, ridge regression, multiple regression, a general additive model, and elastic net in terms of prediction accuracy and interpretability for inference purposes.

Conditions

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Fetal Bradycardia

Study Design

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Observational Model Type

COHORT

Study Time Perspective

RETROSPECTIVE

Interventions

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Labor Neuraxial Analgesia

Intervention Type PROCEDURE

Eligibility Criteria

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Inclusion Criteria

* Older than 18 years
* Pregnancy requiring labor analgesia
* Active labor
* Request of neuraxial analgesia per patient and/or obstetrician
* Received combined spinal-epidural technique

Exclusion Criteria

* Uterine tachysystole before neuraxial analgesia.
* Baseline blood pressure \<90/60 mmHg.
* Third trimester hemorrhage
* Eclampsia
* Allergies to local anesthetics or fentanyl.
* Maternal fever.
* Pruritus before performance of neuraxial analgesia

Minimum Eligible Age

18 Years

Eligible Sex

FEMALE

Accepts Healthy Volunteers

Yes