Reconstruction and validation of a predictive model to estimate the likelihood of infective endocarditis among patients with undiagnosed fever: Multi-center based prospective observational study

Reconstruction and validation of a predictive model to estimate the likelihood of infective endocarditis among patients with undiagnosed fever: Multi-center based prospective observational study - Reconstruction and validation of a predictive model to estimate the likelihood of infective endocarditis among patients with undiagnosed fever: Multi-center based prospective observational study

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000052668

Enrollment

300

Registered

2023-11-16

Start date

2024-04-01

Completion date

Unknown

Last updated

2026-06-29

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

Conditions

Infective endocarditis/fever of unknown origin

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Patients admitted to the research medical institution for any of the following conditions: 1. Patients admitted to the hospital without identification of a specific cause of fever 2. Patient admitted to the hospital with suspected infective endocarditis 3. Patient admitted to the hospital with a definitive diagnosis of infective endocarditis

Exclusion criteria

Exclusion criteria: Patients who meet any of the following condition 1 to 4: 1. Patients with identification of a cause of fever other than infective endocarditis prior to admission 2. Patients who did not undergo at least one of the following tests prior to admission: blood test, urinalysis, and chest X-ray 3. Patients who developed fever after 48 hours of admission 4. Patients who did not agree to participate in this study

Design outcomes

Primary

Measure	Time frame
The AUC, shrinkage coefficient, and stratified likelihood ratio of the predictive model for infective endocarditis to be constructed in this study	—

Secondary

Measure	Time frame
1. Sensitivity analysis of the prediction model among patients with native or bioprosthetic valves in this study 2. The AUC, shrinkage coefficient, and stratified likelihood ratio of our previously developed prediction model for infective endocarditis	—

Countries

Japan

Contacts

Public ContactShun Yamashita

Saga University Hospital Department of General Medicine

sy.hospitalist.japan@gmail.com0952343238

Outcome results