FindTrial
Sign In

Machine Learning-Based Prediction of Gout Flares During Hospitalization in Patients with Upper Gastrointestinal Bleeding

Machine Learning-Based Prediction of Gout Flares During Hospitalization in Patients with Upper Gastrointestinal Bleeding: A Retrospective Cohort Study

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600127498
Enrollment
Unknown
Registered
2026-07-01
Start date
2026-07-01
Completion date
Unknown
Last updated
2026-07-13

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

Conditions

Upper gastrointestinal bleeding (UGIB)

Interventions

Observation group:None

Sponsors

Fuzhou University Affiliated Provincial Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1. Age >= 18 years old; 2. Hospitalized in the Department of Gastroenterology at the Affiliated Provincial Hospital of Fuzhou University between 2012 and 2025; 3. Main diagnosis is upper gastrointestinal bleeding (UGIB), confirmed through clinical symptoms (vomiting blood, black stools, etc.) and endoscopic examination.

Exclusion criteria

Exclusion criteria: 1. Patients with a known history of gout; 2.Patients who developed a gout flare within the first 24 hours of admission.

Design outcomes

Primary

MeasureTime frame
Diagnostic performance: accuracy, sensitivity, specificity;—

Countries

China

Contacts

Public ContactRongrong Chen

Fuzhou University Affiliated Provincial Hospital

18650303056@163.com+86 186 5030 3056

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Jul 23, 2026