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Development and validation of a machine learning predictive model for intraoperative massive bleeding in patients with lung transplantation

Development and validation of a machine learning predictive model for intraoperative massive bleeding in patients with lung transplantation

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500105606
Enrollment
Unknown
Registered
2025-07-07
Start date
2025-09-01
Completion date
Unknown
Last updated
2025-07-14

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

Conditions

Lung transplantation

Interventions

Intraoperative massive bleeding group:none
Non-intraoperative massive bleeding group:none

Sponsors

Wuxi People's Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1.Age >=18 years old; 2.Receive a lung transplant surgery.

Exclusion criteria

Exclusion criteria: 1.Multi-organ transplantation; 2.Missing key variables: blood loss.

Design outcomes

Primary

MeasureTime frame
Intraoperative blood loss;—

Secondary

MeasureTime frame
Length of stay in the ICU;PGD classification;30-day mortality;One-year mortality;—

Countries

China

Contacts

Public ContactChenglong Liang

Wuxi People's Hospital

liangchenglong@wuxiph.com+86 510 85350891

Outcome results

None listed

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