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Published on: November 4, 2010
Personalized approaches to bronchiectasis.
Rosa Maria Girón Moreno1, Adrián Martínez-Vergara1, Miguel Ángel Martínez-García2
1Pneumology Department, Hospital Universitario La Princesa. Instituto De Investigación Sanitaria La Princesa, Madrid, Spain.
Bronchiectasis is a complex lung disease with rising prevalence. This review explores personalized medicine approaches focusing on severity, activity, and impact for better bronchiectasis treatment.
Area of Science:
- Pulmonology
- Precision Medicine
Background:
- Bronchiectasis prevalence is increasing, driven by aging populations and advanced imaging.
- The disease's complexity and heterogeneity make clinical phenotyping challenging.
- High morbidity, mortality, and resource demands necessitate improved management strategies.
Purpose of the Study:
- To review bronchiectasis through the lens of precision medicine.
- To examine the utility of severity, activity, and impact as key dimensions for patient stratification.
- To identify treatable traits in non-cystic fibrosis bronchiectasis.
Main Methods:
- Comprehensive literature search of PubMed using keywords: personalized medicine, bronchiectasis, biomarkers, phenotypes, precision medicine, treatable traits.
- Review focused on the most relevant articles published within the last five years.
- Analysis of bronchiectasis from the perspectives of severity, activity, and impact.
Main Results:
- Bronchiectasis presents significant challenges in establishing useful clinical phenotypes.
- Severity, activity, and impact offer valuable dimensions for patient 'control panels' and clinical fingerprinting.
- Personalized medicine approaches and identification of treatable traits are crucial for non-cystic fibrosis bronchiectasis.
Conclusions:
- A precision medicine framework, utilizing severity, activity, and impact, can enhance bronchiectasis management.
- Identifying and targeting treatable traits is essential for improving patient outcomes in non-cystic fibrosis bronchiectasis.
- Further research into biomarkers and robust phenotyping is needed to fully realize personalized treatment strategies.
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