Predict susceptibility characteristics in population for epidural-related maternal fever using internet-of-things based temperature monitoring and Artificial Intelligence technologies

Status

Recruiting

Phases

Early Phase 1

Study type

Observational

Source

ChiCTR

Registry ID

ChiCTR2000037802

Enrollment

Unknown

Registered

2020-09-02

Start date

2020-09-01

Completion date

Unknown

Last updated

2020-11-09

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

Conditions

Epidural-related maternal fever

Interventions

case series:Nil

Eligibility

Sex/Gender

Female

Age

18 Years to 60 Years

Inclusion criteria

Inclusion criteria: Expectant women who intend to deliver vaginally and receive epidural analgesia

Exclusion criteria

Exclusion criteria: (1) Suffer from autoimmune diseases; (2) Take a lot of endosteroids during pregnancy and before delivery; (3) Pregnant women whose pregnancy is diagnosed as sepsis, meningitis, pneumonia, congenital infection or viral infection; (4) Parturients who switched to cesarean section before delivery analgesia due to changes in medical conditions during labor; (5) Women who do not agree to receive epidural analgesia during labor.

Design outcomes

Primary

Measure	Time frame
body temperature;	—

Countries

China

Contacts

Public ContactLili Tian

Sichuan Provincial People's Hospital

fly51114@163.com+86 18008099802

Outcome results

None listed

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