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Prediction of intraspinal labor analgesia and the incidence rate of vaginal delivery neonates based on machine learning prediction model

Prediction of intraspinal labor analgesia and the incidence rate of vaginal delivery neonates based on machine learning prediction model

Status
Active, not recruiting
Phases
Phase 1
Study type
Interventional
Source
ChiCTR
Registry ID
ChiCTR2200059438
Enrollment
Unknown
Registered
2022-04-29
Start date
2022-04-30
Completion date
Unknown
Last updated
2024-03-04

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

Conditions

Incidence rate of vaginal delivery in neonates

Interventions

Group 1:Labor analgesia
Group 2:No

Sponsors

Shenzhen Maternal and Child Health Hospital Affiliated to Southern Medical University
Lead Sponsor

Eligibility

Sex/Gender
Female
Age
18 Years to 45 Years

Inclusion criteria

Inclusion criteria: 1. ASA I or II level; 2. The gestational age is between 36 and 41 weeks; 3. Women with vaginal midwifery who need fetal head suction or forceps for single fetal head position.

Exclusion criteria

Exclusion criteria: 1. Refuse labor analgesia and spinal anesthesia, or have contraindications.

Design outcomes

Primary

MeasureTime frame
Neonatal incidence rate;—

Contacts

Public ContactSun Jing

Shenzhen Maternal and Child Health Hospital Affiliated to Southern Medical University

187244758@qq.com+86 13501597110

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026