Development and validation of a multivariable logistic regression model for predicting epidural‐related maternal fever during labor analgesia: A retrospective cohort study

A multivariable logistic regression model using routinely available intrapartum variables demonstrated stable discrimination, calibration, and potential clinical utility for ERMF risk assessment and bedside implementation.

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Publication Details

Journal
International Journal of Gynecology & Obstetrics
Published
2026-03-26
DOI
https://doi.org/10.1002/ijgo.70963
Primary Topic
Preterm Birth and Chorioamnionitis
Type
article
Field-Weighted Citation Impact
0.00
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article

Development and validation of a multivariable logistic regression model for predicting epidural‐related maternal fever during labor analgesia: A retrospective cohort study

Jing Cheng, Junyang Ma, Meiqi Sun, Ping Lu
International Journal of Gynecology & Obstetrics
Preterm Birth and Chorioamnionitis
article

Development and validation of a multivariable logistic regression model for predicting epidural‐related maternal fever during labor analgesia: A retrospective cohort study

Jing Cheng, Junyang Ma, Meiqi Sun, Ping Lu
article en

Abstract

A multivariable logistic regression model using routinely available intrapartum variables demonstrated stable discrimination, calibration, and potential clinical utility for ERMF risk assessment and bedside implementation.

International Journal of Gynecology & Obstetrics
Hubei Provincial Women and Children's Hospital (CN), Wuhan Union Hospital (CN)
Gender equality
Openalex Percentile: Top 9%
Preterm Birth and Chorioamnionitis
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