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Published on: November 4, 2010
Workup of difficult-to-treat asthma: implications from treatable traits
Qing Zhang1,2, Wen Wen Wu1,2, Lei Li1,2
1Department of Respiratory and Critical Care Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China.
Identifying and treating individual "treatable traits" in asthma offers a personalized approach. This strategy improved a patient's difficult-to-treat asthma, showing promise beyond traditional stepwise management.
Area of Science:
- Pulmonology and Respiratory Medicine
- Precision Medicine in Chronic Diseases
Background:
- Traditional stepwise asthma management often falls short in complex, heterogeneous cases.
- Difficult-to-treat asthma requires novel therapeutic strategies beyond standard symptom-based adjustments.
Purpose of the Study:
- To evaluate the efficacy of a precision medicine approach targeting 'treatable traits' in a patient with difficult-to-treat asthma.
- To demonstrate the benefits of a multidimensional assessment for identifying individualized asthma management targets.
Main Methods:
- A 71-year-old male with uncontrolled asthma and frequent exacerbations underwent a comprehensive assessment.
- Evaluation covered pulmonary, extrapulmonary, and behavioral/risk factors to identify 15 treatable traits.
- Targeted interventions were applied based on the identified traits.
Main Results:
- The patient presented with multiple treatable traits, including airflow limitation, eosinophilic inflammation, comorbidities (cardiomyopathy, diabetes), and behavioral factors (smoking, inhaler polypharmacy).
- Following targeted treatment, significant improvement in dyspnea and asthma control was achieved.
- The patient successfully reduced medication to low-dose inhaled corticosteroids and a long-acting beta-agonist.
Conclusions:
- The 'treatable traits' approach offers a personalized and effective strategy for managing difficult-to-treat asthma.
- Multidimensional assessment is crucial for uncovering individual factors contributing to poor asthma control.
- This precision medicine model shows superior outcomes compared to traditional stepwise therapy for complex asthma cases.
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