Development and Validation of a Nomogram for the Failed Conversion of Labor Analgesia to Cesarean Section Anesthesia

© 2024 Zheng et al..

Purpose: The conversion of epidural labor analgesia (ELA) to epidural surgical anesthesia (ESA) for intrapartum cesarean section (CS) often encounters failures. This study aimed to develop a nomogram for predicting the failure rate of this conversion.

Patients and Methods: A retrospective analysis was conducted on data from the Fujian Maternity and Child Health Hospital. Pregnant women (n=214) who underwent cesarean section after receiving labor analgesia. We performed correlation heat map and Lasso regression in terms of exclusion confounding factors and screening independent variables. A nomogram was developed to predict the occurrence.

Results: The developed nomogram incorporated variables such as pregnant history, weight, premature rupture of membranes (PROM), dural puncture epidural (DPE), anesthesiologist level of cesarean section (ALOCS), and Anesthesiologist level of labor analgesia (ALOLA). The model demonstrated good predictive performance, providing a practical tool for assessing the risk of failure in converting labor analgesia to cesarean section anesthesia.

Conclusion: The nomogram can aid anesthesiologists in making informed decisions and optimizing patient care. By utilizing the nomogram, clinicians can estimate the probability of conversion failure based on individual patient characteristics and clinical factors.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:17

Enthalten in:

Journal of pain research - 17(2024) vom: 05., Seite 197-208

Sprache:

Englisch

Beteiligte Personen:

Zheng, Yihan [VerfasserIn]
Zhang, Li [VerfasserIn]
Wu, Xizhu [VerfasserIn]
Zhou, Min [VerfasserIn]

Links:

Volltext

Themen:

Cesarean section anesthesia
Conversion failure
Journal Article
Labor analgesia
Nomogram
Predictive model

Anmerkungen:

Date Revised 16.01.2024

published: Electronic-eCollection

Citation Status PubMed-not-MEDLINE

doi:

10.2147/JPR.S443338

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM367142112