MedTrace Logo

Prediction of Local Anaesthetic Dosing During Labour Epidural Analgesia

NCT07614516 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 12500

Last updated 2026-05-29

No results posted yet for this study

Summary

Epidural analgesia is the gold standard for controlling labour pain. However, labour pain happens during neuraxial analgesia, due to anaesthetic, obstetric, maternal factors.

The investigators hypothesized that relevant variables, able to predict the local anaesthetic (LA) requirement during labour, can be identified at admission and each parturient may therefore be accordingly classified in "low-requirement" and "high-requirement". In this way, a predictive score may be developed, and the analgesic regimen may be matched to the individual patient, thus ensuring a timely and appropriate treatment of patients likely to require higher doses of LA, while minimizing potentially side effects of excessive treatment in the low-dose group.

Conditions

  • Labour Analgesia

Interventions

OTHER

Machine-learning prediction model

A machine-learning prediction model will be developed to anticipate the parturient's requirement of LA at admission in the Labour Suite, according to demographic, obstetric and anaesthetic features ongoing before administration of the first epidural bolus.

Sponsors & Collaborators

  • Fondazione Policlinico Universitario Agostino Gemelli IRCCS

    lead OTHER

Eligibility

Min Age
18 Years
Sex
FEMALE
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-06-13
Primary Completion
2026-09-30
Completion
2026-10-31

Countries

  • Italy

Study Locations

More Related Trials

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07614516 on ClinicalTrials.gov