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Towards precision medicine in severe asthma: Treatment algorithms based on treatable traits
- Source :
- Respiratory Medicine. 142:15-22
- Publication Year :
- 2018
- Publisher :
- Elsevier BV, 2018.
-
Abstract
- Asthma is a common disease, and although its clinical manifestations may be similar among patients, recent research discoveries have shown that it consists of several distinct clinical clusters or phenotypes, each with different underlying molecular pathways yielding different treatment responses. Based on these observations, an alternative approach - known as 'precision medicine' - has been proposed for the management of patients with severe asthma. Precision medicine advocates identification of treatable traits, linking them to therapeutic approaches targeting genetic, immunological, environmental, and/or lifestyle factors in individual patients. The main "goal" of this personalised approach is to enable choosing a treatment which will be more likely to produce a beneficial response in the individual patient rather than a 'one size fits all' approach. The aim of the present review is to discuss different ways of phenotyping asthma and to provide a rationale for treatment algorithms based on principles of precision medicine.
- Subjects :
- Pulmonary and Respiratory Medicine
Endotype
CONTROLLED CLINICAL-TRIAL
Severe asthma
ASPIRIN-INTOLERANT ASTHMA
SPUTUM CELL COUNTS
Placebo-controlled study
Biologics
PLACEBO-CONTROLLED TRIAL
Severity of Illness Index
law.invention
03 medical and health sciences
0302 clinical medicine
Randomized controlled trial
Adrenal Cortex Hormones
AIRWAY SMOOTH-MUSCLE
SEVERE PERSISTENT ASTHMA
law
Humans
Medicine
030212 general & internal medicine
Adrenergic beta-2 Receptor Agonists
NON-EOSINOPHILIC ASTHMA
Asthma
EXACERBATED RESPIRATORY-DISEASE
business.industry
Precision medicine
RANDOMIZED CONTROLLED-TRIAL
medicine.disease
Phenotype
Lifestyle factors
030228 respiratory system
Leukotriene Antagonists
Identification (biology)
EXERCISE-INDUCED BRONCHOCONSTRICTION
business
Algorithm
Algorithms
Biomarkers
Subjects
Details
- ISSN :
- 09546111
- Volume :
- 142
- Database :
- OpenAIRE
- Journal :
- Respiratory Medicine
- Accession number :
- edsair.doi.dedup.....7fbc21fd3ac582eb365768563ef766d6
- Full Text :
- https://doi.org/10.1016/j.rmed.2018.07.006