Multi-Omics Inflammatory Phenotype for ABPA Recurrence Risk Prediction
NCT07611838 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 300
Last updated 2026-06-01
Summary
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.
Conditions
- Allergic Bronchopulmonary Aspergillosis (ABPA)
- Machine Learning
- Multi-omics
- Multicenter Study
- Relapse
Sponsors & Collaborators
-
Qianfoshan Hospital
lead OTHER
Principal Investigators
-
Qian Qi · Shandong First Medical University
Eligibility
- Min Age
- 18 Years
- Max Age
- 80 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2021-01-01
- Primary Completion
- 2028-12-31
- Completion
- 2028-12-31
Countries
- China
Study Locations
More Related Trials
-
Research on Early Diagnosis and Risk Stratification Biomarkers of Anti-Tumor Drug-Associated Interstitial Pneumonia Driven by Multi-Omics Integration
NCT07190703 ·Status: NOT_YET_RECRUITING
-
Role of Thymus-And Activation-Regulated Chemokine (TARC) In Diagnosis Of Allergic Bronchopulmonary Aspergillosis
NCT03267394 ·Status: UNKNOWN
-
Multi-omics Detection Techniques for Differentiating Benign and Malignant Pulmonary Nodules
NCT07047573 ·Status: RECRUITING
-
A Combined Biomarker Model for Risk Stratification of Indeterminate Pulmonary Nodules
NCT06074133 ·Status: ACTIVE_NOT_RECRUITING
-
Recurrent Pneumonia in Children
NCT06583317 ·Status: NOT_YET_RECRUITING
-
Prospective Data Collection of Patients With Diffuse Parenchymal Lung Diseases
NCT01600378 ·Status: RECRUITING
-
Radiomics Multifactorial Biomarker for Pulmonary Nodules
NCT03872362 ·Status: COMPLETED
-
Artificial Intelligence in Computed Tomography for Quantifying Lung Changes of Bronchiectasis Patients
NCT05751538 ·Status: UNKNOWN
-
Predictors for Bronchoalveolar Lavage (BAL) Recovery Rate Derived From Quantified Computed Tomography (qCT)
NCT03388580 ·Status: COMPLETED
-
Multicenter Cohort Study on Predicting Bronchiectasis Progression, Complications, and Prognosis Using Multi-omics
NCT07263373 ·Status: COMPLETED
-
Outcome After Treatment of Pulmonary Aspergilloma
NCT01958710 ·Status: UNKNOWN
-
Constructing a Predictive Model for Differentiating Between Benign and Malignant Solid Pulmonary Nodules Based on Clinical and Imaging Features.
NCT06685458 ·Status: NOT_YET_RECRUITING
-
Multimodal CT-Based Risk Stratification for Postoperative Local Recurrence in NSCLC: A Multicenter Study
NCT07552532 ·Status: ACTIVE_NOT_RECRUITING
-
Race, Ethnicity, and Diffuse Parenchymal Lung Disease
NCT00453713 ·Status: COMPLETED
-
Research on Early Screening and Diagnosis of Pulmonary Nodules Based on Novel Non-invasive Technologies.
NCT07370077 ·Status: RECRUITING
-
Deep Learning Signature for Predicting Occult Nodal Metastasis of Clinical N0 Lung Cancer
NCT05425134 ·Status: UNKNOWN
-
Contribution of the Indoor Environment Medical Advisor in the Management of Fibrosing Hypersensitivity Pneumonitis
NCT05988437 ·Status: NOT_YET_RECRUITING
-
Association of BAL Fluid T-Cell Immune Activity With Tumor PD-L1 Expression and Its Prognostic Value: A Prospective Observational Study
NCT07331701 ·Status: NOT_YET_RECRUITING
-
Biomarkers for Diagnosis of Lung Nodules
NCT01085864 ·Status: ACTIVE_NOT_RECRUITING
-
Phenotype Assessment of Blood and Airway Eosinophils in Patients With COPD and Asthma
NCT05398133 ·Status: UNKNOWN
-
Validation of Soluble Programmed Death-1 in Predicting Progression of Nodular-bronchiectatic Form of Nontuberculous Mycobacterial Lung Disease: a Multi-Country Research
NCT05678166 ·Status: UNKNOWN
-
To Establish a Molecular Typing System for Early Diagnosis of Lung Cancer
NCT05432128 ·Status: RECRUITING
-
Identify Prognostic Biomarkers of Lung Cancer
NCT05010330 ·Status: UNKNOWN
-
Investigating Incidental Pulmonary Nodules in Underserved Communities
NCT05738031 ·Status: WITHDRAWN
-
Digital Modeling of Thoracic CT and Pulmonary Fibrosis
NCT06618924 ·Status: ACTIVE_NOT_RECRUITING