Does epidural analgesia influence labor progress in women aged 35 or more?

Does epidural analgesia influence labor progress in women aged 35 or more?

Favilli, Alessandro;Tiburzi, Cinzia;Gargaglia, Eleonora;Cerotto, Vittorio;Bagaphou, Thierry C;Checcaglini, Angela;Bini, Vittorio;Gori, Fabio;Torrioli, Donatello;Gerli, Sandro;
the journal of maternal-fetal & neonatal medicine : the official journal of the european association of perinatal medicine, the federation of asia and oceania perinatal societies, the interna 2020 pp. 1-5
145
favilli2020doesthe

Abstract

During the last decades, the age of pregnant women significantly increased. The incidence of maternal and labor complications is higher among older women, but conclusive data have not been delivered whether labor epidural analgesia (EA) may affect the duration of labor and delivery outcomes in this population of patients. The aim of this study is to evaluate the effect of EA among women aged over 35 years. We retrospectively reviewed medical records of all, singleton, at term deliveries, laboring with EA, between December 2011 and October 2017. Women aged ≥35 years (study group) were compared with women aged <35 years (control group) to evaluate EA effects on the duration of labor and neonatal outcome. The study enrolled 459 women with EA: 122 women were included in the study group and 337 in the control group. The multiple regression analysis showed that parity was an independent variable for a shorter dilation period ( = .002), second stage length ( = .0001) and for the total labor duration ( = .0001); neonatal weight was significant for a shorter dilation period ( = .005) and for the total labor duration ( = .002); maternal age and cervical dilatation at the beginning of EA did not influence neither the period of the labor stages nor the total labor duration ( > .05). Results of this study indicate that women aged ≥35 with EA may have labor duration and neonatal short-term outcomes similar to younger women with EA.

Citation

ID: 106525
Ref Key: favilli2020doesthe
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
106525
Unique Identifier:
10.1080/14767058.2020.1743672
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet