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The Global Airways Unit: A Multidisciplinary Strategy for Early Diagnosis and Comorbidity Detection
Diego M Conti1,2, Eduardo J Correa3, Alfonso Del Cuvillo4
1Escuela de Doctorado UAM, Centro de Estudios de Posgrado Universidad Autónoma de Madrid. Calle Francisco Tomás y Valiente, n° 2. Ciudad Universitaria de Cantoblanco Madrid Spain.
Background:
Chronic respiratory diseases impose a large global burden of morbidity, mortality, and cost. The concept of a global airway has become increasingly supported by epidemiologic, mechanistic, and clinical evidence. However, clinical care often remains fragmented between ear, nose, and throat (ENT), allergy, and pulmonology.
Methods:
A multidisciplinary expert panel composed of allergists, pulmonologists, and otolaryngologists from multiple tertiary care centres was convened. Experts were selected using predefined criteria encompassing clinical experience, academic output, geographic and institutional diversity, and gender balance. The panel performed a structured synthesis of current international guidelines and high-impact literature, using a modified Delphi consensus process over 3 rounds, with a predefined agreement threshold of ≥ 80% to define the scope of diseases, diagnostic approach, and interdisciplinary care model.
Results:
The Global Airways Unit (GAU) framework prioritizes multidisciplinary teamwork, early detection of comorbidities, phenotype‑directed investigations, streamlined imaging, and assignment of a lead specialty with scheduled follow‑up. Expected benefits include earlier diagnosis, improved disease control and quality of life (QoL), reduced duplication of testing, and potential cost‑savings for patients and health systems.
Conclusions:
The GAU operationalises the unified airway hypothesis into a reproducible clinical model. We propose the formation of a GAU to coordinate the management of patients with inflammatory airway diseases. Prospective real‑world evaluation of GAU implementation is the next critical step to validate clinical and economic outcomes.
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