Bronchiectasis Phenotype Identification Model for Adults with Non-Cystic Fibrosis Bronchiectasis Using Longitudinal Data Analysis

What this Trial Is About

Researchers are investigating a method called the Bronchiectasis Phenotype Identification Model BPIM to classify different types of bronchiectasis in adults with non-cystic fibrosis bronchiectasis NCFB. This observational study uses advanced data analysis to identify patterns in disease progression and translate these into a model that can predict disease subtypes based on initial patient data. The study is conducted within the Assiut University bronchiectasis translational research platform and focuses on improving understanding of bronchiectasis phenotypes without assigning any treatments or interventions. The study involves two groups of adult participants with confirmed NCFB a development cohort and a validation cohort. The development cohort is used to analyze longitudinal disease data and train the BPIM to recognize distinct bronchiectasis phenotypes, while the validation cohort is used to test the models accuracy without any adjustments. All participants continue to receive standard clinical care from their physicians throughout the study. No experimental treatment or changes in management are made by the study protocol. Participants will undergo routine clinical assessments including functional tests, oxygenation evaluations, radiological imaging, and inflammatory marker measurements at baseline and during follow-up visits up to 12 months. Researchers will measure how accurately the BPIM classifies bronchiectasis phenotypes compared to established analytical methods. The study also tracks disease exacerbations, hospital admissions, and other clinical outcomes. Participants involvement includes regular assessments to support data collection for model development and validation over the study period.

Bronchiectasis Phenotype Identification Model