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Clinical characteristics of fever of unknown origin with different etiologies and construction of machine learning prediction models based on multiple clinical parameters

Clinical characteristics of fever of unknown origin with different etiologies and construction of machine learning prediction models based on multiple clinical parameters

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500109238
Enrollment
Unknown
Registered
2025-09-16
Start date
2025-10-01
Completion date
Unknown
Last updated
2025-09-22

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

Conditions

Fever of unknown origin

Interventions

Training set:NA
Validation set:NA

Sponsors

Shulan (Hangzhou) Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
14 Years to No maximum

Inclusion criteria

Inclusion criteria: 1. >=14 years old; 2.The fever lasts more than 3 weeks; 3.Oral body temperature exceeding 38.3 ° C for at least three times (or a temperature fluctuation of more than 1.2 ° C in a day); 4. At least 1 week in the door diagnose thorough examination of the patient or hospitalization remains inconclusive; 5.Complete clinical data.

Exclusion criteria

Exclusion criteria: Pregnant status, nosocomial infection, patients with known confirmed HIV infection, and immunocompromised patients such as neutropenia (pre-existing white blood cell count < 1.0×10^9/L and/or granulocyte count <0.5×10^9/L) and fever for at least 1 week in the past 3 months.

Design outcomes

Primary

MeasureTime frame
Accuracy;—

Countries

China

Contacts

Public ContactYaqing Lin

Shulan (Hangzhou) Hospital

yq8499@163.com+86 178 2687 5568

Outcome results

None listed

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