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A ECMO prognosis prediction model based on NMR metabolomics and machine learning technology

A ECMO prognosis prediction model based on NMR metabolomics and machine learning technology

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2100049348
Enrollment
Unknown
Registered
2021-07-31
Start date
2021-08-01
Completion date
Unknown
Last updated
2022-04-19

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

Conditions

disease treated with VA-ECMO or ECPR

Interventions

Case series:None

Sponsors

Institute of Emergency Medicine and Disaster Medicine, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Patients treated with VA-ECMO or ECPR in EICU.

Exclusion criteria

Exclusion criteria: None

Design outcomes

Primary

MeasureTime frame
Discharge survival rate;Serum metabonomics analysis;

Countries

China

Contacts

Public ContactJiang Hua

Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital

cdjianghua@qq.com+86 13980001701

Outcome results

None listed

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