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临床试验/NCT07614516
NCT07614516尚未招募不适用

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

Fondazione Policlinico Universitario Agostino Gemelli IRCCS1 个研究点 分布在 1 个国家目标入组 12,500 人开始时间: 2026年6月13日最近更新:

试验速览

阶段
不适用
状态
尚未招募
入组人数
12,500
试验地点
1

研究概览

简要总结

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.

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Retrospective

入排标准

年龄范围
18 Years 至 —(Adult, Older Adult)
性别
Female
接受健康志愿者

入选标准

  • Parturients receiving neuraxial analgesia for labour, as clinical practice

排除标准

  • Planned caesarean delivery

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

ZANFINI BRUNO ANTONIO

Principal Investigator

Fondazione Policlinico Universitario Agostino Gemelli IRCCS

研究点 (1)

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