Multi-Omics Inflammatory Phenotype for ABPA Recurrence Risk Prediction

Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18-80
SponsorQianfoshan Hospital

About this trial

To develop and externally validate a machine learning model for predicting the 1-year risk of relapse in patients with stable ABPA, and to further evaluate its value in risk stratification and clinical decision-making.

Eligibility criteria

Qualifiers

Female and Male patients aged 18-80 years

diagnosis of Allergic Bronchopulmonary Aspergillosis ABPA accroding to the 2024 ISHAM Working Group Diagnostic Criteria

Disqualifiers

Patients with malignant tumors or severe organ dysfunction (e.g., cardiac, cerebral, renal, etc.)

Patients with severe comorbidities, including active pulmonary tuberculosis, lung cancer, chronic heart failure (NYHA class Ⅳ), chronic kidney disease (CKD stage 5), decompensated cirrhosis, etc.

Patients with immunosuppressive status, such as HIV infection, long-term use of oral corticosteroids or immunosuppressive agents.

Pregnant or lactating women.

Trial design

Treatments tested in this trial

  • Not listed

Trial groups

300 Participants
are grouped into 1 trial group

Sponsors and collaborators