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Prediction of Local Anaesthetic Dosing During Labour Epidural Analgesia

Prediction of Local Anaesthetic Dosing During Labour Epidural Analgesia: a Machine-learning Approach. The DIANA (Dosing Intrapartum ANAesthetics) Study.

Status
Not yet recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT07614516
Acronym
DIANA
Enrollment
12500
Registered
2026-05-29
Start date
2026-06-13
Completion date
2026-10-31
Last updated
2026-05-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Labour Analgesia

Keywords

Machine Learning, Anesthesia, Obstetric, Anesthesia, Epidural, Anesthetics, Local

Brief 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.

Interventions

OTHERMachine-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

Fondazione Policlinico Universitario Agostino Gemelli IRCCS
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
RETROSPECTIVE

Eligibility

Sex/Gender
FEMALE
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Parturients receiving neuraxial analgesia for labour, as clinical practice

Exclusion criteria

* Planned caesarean delivery

Design outcomes

Primary

MeasureTime frameDescription
Machine-learning algorithm able to predict the LA consumptionFrom the epidural catheter placement to delivery.To develop a machine-learning algorithm able to predict the mean hourly cumulative LA consumption administered via the epidural catheter from the catheter placement up to delivery, expressed as time-weighted LA consumption per hour (mg/h) in patients receiving top-up analgesia or the need for adjunctive rescue LA boluses in patients receiving PIEB (Programmed Intermittent Epidural Bolus) analgesia.

Secondary

MeasureTime frameDescription
Clinical scoreAt admission in the Labour Suite and before the epidural catheter is placedTo develop a clinical score, based on the machine learning algorithm, with the aim of predicting the patient's LA requirement at admission, thus categorizing parturients as "low requirement" or "high requirement".
Time-dependent AUC of LA manual bolusesFrom epidural catheter placement to delivery.To compare (between low- and high-requirement parturients) the time-dependent AUC of LA boluses (in case of analgesia maintenance through top-up) and the time-dependent AUC of adjunctive rescue LA boluses (in case of analgesia maintenance through PIEB)
Total LA consumptionFrom epidural catheter placement to delivery.To compare between low- and high-requirement parturients the total LA consumption (mg), mean (+-SD)
Ratio of time to first bolus demand to duration of laborFrom epidural catheter placement to delivery.To compare between low- and high-requirement parturients the ratio of time to first bolus demand to duration of labor (%), mean (+-SD), in case of analgesia maintenance through top-up.
Total demand of LA bolusesFrom epidural catheter placement to delivery.To compare between low- and high-requirement parturients the total demand of LA boluses, mean (+-SD), in case of analgesia maintenance through top-up.
Total adjunctive rescue LA epidural bolusesFrom epidural catheter placement to delivery.To compare between low- and high-requirement parturients the total adjunctive rescue LA epidural boluses, mean (+-SD), in case of analgesia maintenance through PIEB.
Length of active phaseFrom start of the active phase to full cervical dilation, up to 24 hours.To compare between low- and high-requirement parturients the length of active phase in minutes, mean (+-SD).
Length of second stageFrom full cervical dilation to delivery.To compare between low- and high-requirement parturients the length of second stage in minutes, mean (+-SD).
Rate of postpartum haemorrhageIn the first hour after delivery.To compare between low- and high-requirement parturients the rate of postpartum haemorrhage, expressed as percentage.
Rate of perineal lacerationIn the first hour after delivery.To compare between low- and high-requirement parturients the rate of perineal laceration, expressed as percentage.
Rate of episiotomyAt delivery.To compare between low- and high-requirement parturients the rate of episiotomy, expressed as percentage.
Rate of shoulder dystociaAt delivery.To compare between low- and high-requirement parturients the rate of shoulder dystocia, expressed as percentage.
Rate of intrapartum caesarean sectionFrom admission to the Labour suite to delivery, up to 24 hours.To compare between low- and high-requirement parturients the rate of intrapartum caesarean section, expressed as percentage.
Rate of catheter re-siting during labourFrom the placement of the first epidural catheter to delivery, up to 24 hours.To compare between low- and high-requirement parturients the rate of catheter re-siting during labour, expressed as percentage.
Rate of neonatal admission in NICUAfter delivery, up to 1 hour.To compare between low- and high-requirement parturients the rate of neonatal admission in Neonatal Intensive Care Unit (NICU).
Mean Apgar Score at 1 minute1 minute after delivery.To compare between low- and high-requirement parturients the neonatal Apgar score at 1 minute, expressed as mean +- DS. The Apgar score is a 10-point evaluation scoring system used to assess a newborn's health immediately after birth, based on 5 criteria: Appearance, Pulse, Grimace, Activity, and Respiration. Each category is assigned a score of 0, 1 or 2.
Mean Apgar Score at 5 minutes5 minutes after delivery.To compare between low- and high-requirement parturients the neonatal Apgar score at 5 minutes, expressed as mean +- DS. The Apgar score is a 10-point evaluation scoring system used to assess a newborn's health immediately after birth, based on 5 criteria: Appearance, Pulse, Grimace, Activity, and Respiration. Each category is assigned a score of 0, 1 or 2.
Mean Umbilical Cord Arterial pHAt delivery.To compare between low- and high-requirement parturients the umbilical cord arterial pH, expressed as mean +- DS. Reference ranges of cord arterial pH is 7.2 - 7.4.
Mean Umbilical Cord Venous pHAt delivery.To compare between low- and high-requirement parturients the umbilical cord venous pH, expressed as mean +- DS. Reference ranges of cord venous pH is 7.25 - 7.45.
Mean Umbilical Cord Arterial base excessAt delivery.To compare between low- and high-requirement parturients the umbilical cord arterial base excess, expressed as mean +- DS. Reference ranges of cord arterial base excess is -9 to +2.
Mean Umbilical Cord Venous base excessAt delivery.To compare between low- and high-requirement parturients the umbilical cord venous base excess, expressed as mean +- DS. Reference ranges of cord venous base excess is -10 to +0.
The rate of maternal hypertensive disorders.Throughout pregnancy, up to the first postpartum day.To compare between low- and high-requirement parturients the rate of maternal hypertensive disorders.
The rate of gestational diabetes.Throughout pregnancy, up to delivery.To compare between low- and high-requirement parturients the rate of gestational diabetes.

Countries

Italy

Contacts

CONTACTBruno A Zanfini, MD
brunoantonio.zanfini@policlinicogemelli.it06 3015 3105

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: May 30, 2026