Prediction of Local Anaesthetic Dosing During Labour Epidural Analgesia: a Machine-learning Approach. The DIANA (Dosing Intrapartum ANAesthetics) Study.
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
- 否
入选标准
- •Parturients receiving neuraxial analgesia for labour, as clinical practice
排除标准
- •Planned caesarean delivery
研究者
ZANFINI BRUNO ANTONIO
Principal Investigator
Fondazione Policlinico Universitario Agostino Gemelli IRCCS
