Mario Cazzola , Nicola A. Hanania , Paola Rogliani
{"title":"Comorbidities as treatable traits of chronic airway diseases","authors":"Mario Cazzola , Nicola A. Hanania , Paola Rogliani","doi":"10.1016/j.rmed.2025.108333","DOIUrl":null,"url":null,"abstract":"<div><div>Chronic airway diseases, including asthma, chronic obstructive pulmonary disease, and bronchiectasis, are increasingly recognized as heterogeneous conditions influenced not only by airway pathology but also by a wide range of extrapulmonary and behavioral comorbidities. The treatable traits (TT) model, as it has emerged in recent medical literature, offers a precision medicine framework that redefines comorbidities as clinically relevant, identifiable, and modifiable traits. This paradigm shifts the focus from conventional disease labels to a multidimensional approach that considers the individual's unique constellation of pulmonary, extrapulmonary, and psychosocial features. A growing body of research has identified critical targets for intervention. The efficacy of this approach is supported by evidence from clinical trials and real-world studies. These studies demonstrate that trait-based management, especially when incorporating comorbidities, results in improved disease control, reduced symptom burden, enhanced quality of life, and decreased frequency of exacerbations. The implementation of multidimensional assessment tools and multidisciplinary care models is imperative for operationalizing this strategy within both primary and secondary care settings. Future directions for this field include leveraging artificial intelligence and machine learning to refine trait identification and predict individualized treatment responses. Longitudinal studies and adaptive trial designs are also necessary to evaluate the long-term effectiveness, cost-efficiency, and scalability of trait-based interventions across diverse healthcare systems. The recognition of comorbidities as TTs signifies a substantial advancement in the delivery of holistic, patient-centered care for individuals with chronic airway diseases.</div></div>","PeriodicalId":21057,"journal":{"name":"Respiratory medicine","volume":"248 ","pages":"Article 108333"},"PeriodicalIF":3.1000,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Respiratory medicine","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0954611125003968","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Chronic airway diseases, including asthma, chronic obstructive pulmonary disease, and bronchiectasis, are increasingly recognized as heterogeneous conditions influenced not only by airway pathology but also by a wide range of extrapulmonary and behavioral comorbidities. The treatable traits (TT) model, as it has emerged in recent medical literature, offers a precision medicine framework that redefines comorbidities as clinically relevant, identifiable, and modifiable traits. This paradigm shifts the focus from conventional disease labels to a multidimensional approach that considers the individual's unique constellation of pulmonary, extrapulmonary, and psychosocial features. A growing body of research has identified critical targets for intervention. The efficacy of this approach is supported by evidence from clinical trials and real-world studies. These studies demonstrate that trait-based management, especially when incorporating comorbidities, results in improved disease control, reduced symptom burden, enhanced quality of life, and decreased frequency of exacerbations. The implementation of multidimensional assessment tools and multidisciplinary care models is imperative for operationalizing this strategy within both primary and secondary care settings. Future directions for this field include leveraging artificial intelligence and machine learning to refine trait identification and predict individualized treatment responses. Longitudinal studies and adaptive trial designs are also necessary to evaluate the long-term effectiveness, cost-efficiency, and scalability of trait-based interventions across diverse healthcare systems. The recognition of comorbidities as TTs signifies a substantial advancement in the delivery of holistic, patient-centered care for individuals with chronic airway diseases.
期刊介绍:
Respiratory Medicine is an internationally-renowned journal devoted to the rapid publication of clinically-relevant respiratory medicine research. It combines cutting-edge original research with state-of-the-art reviews dealing with all aspects of respiratory diseases and therapeutic interventions. Topics include adult and paediatric medicine, epidemiology, immunology and cell biology, physiology, occupational disorders, and the role of allergens and pollutants.
Respiratory Medicine is increasingly the journal of choice for publication of phased trial work, commenting on effectiveness, dosage and methods of action.