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Prediction of Local Anaesthetic Dosing During Labour Epidural Analgesia
Sponsor: Fondazione Policlinico Universitario Agostino Gemelli IRCCS
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.
Official title: Prediction of Local Anaesthetic Dosing During Labour Epidural Analgesia: a Machine-learning Approach. The DIANA (Dosing Intrapartum ANAesthetics) Study.
Key Details
Gender
FEMALE
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
12500
Start Date
2026-06-13
Completion Date
2026-10-31
Last Updated
2026-05-29
Healthy Volunteers
No
Conditions
Interventions
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.
Locations (1)
Fondazione Policlinico Universitario A. Gemelli IRCCS
Rome, RM, Italy