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lüll Cluster analysis and clinical asthma phenotypes Haldar P; Pavord ID; Shaw DE; Berry MA; Thomas M; Brightling CE; Wardlaw AJ; Green RHAm J Respir Crit Care Med 2008[Aug]; 178 (3): 218-224RATIONALE: Heterogeneity in asthma expression is multidimensional, including variability in clinical, physiologic, and pathologic parameters. Classification requires consideration of these disparate domains in a unified model. OBJECTIVES: To explore the application of a multivariate mathematical technique, k-means cluster analysis, for identifying distinct phenotypic groups. METHODS: We performed k-means cluster analysis in three independent asthma populations. Clusters of a population managed in primary care (n = 184) with predominantly mild to moderate disease, were compared with a refractory asthma population managed in secondary care (n = 187). We then compared differences in asthma outcomes (exacerbation frequency and change in corticosteroid dose at 12 mo) between clusters in a third population of 68 subjects with predominantly refractory asthma, clustered at entry into a randomized trial comparing a strategy of minimizing eosinophilic inflammation (inflammation-guided strategy) with standard care. MEASUREMENTS AND MAIN RESULTS: Two clusters (early-onset atopic and obese, noneosinophilic) were common to both asthma populations. Two clusters characterized by marked discordance between symptom expression and eosinophilic airway inflammation (early-onset symptom predominant and late-onset inflammation predominant) were specific to refractory asthma. Inflammation-guided management was superior for both discordant subgroups leading to a reduction in exacerbation frequency in the inflammation-predominant cluster (3.53 [SD, 1.18] vs. 0.38 [SD, 0.13] exacerbation/patient/yr, P = 0.002) and a dose reduction of inhaled corticosteroid in the symptom-predominant cluster (mean difference, 1,829 mug beclomethasone equivalent/d [95% confidence interval, 307-3,349 mug]; P = 0.02). CONCLUSIONS: Cluster analysis offers a novel multidimensional approach for identifying asthma phenotypes that exhibit differences in clinical response to treatment algorithms.|*Phenotype[MESH]|Adrenal Cortex Hormones/therapeutic use[MESH]|Adult[MESH]|Aged[MESH]|Asthma/*classification/drug therapy/physiopathology[MESH]|Classification[MESH]|Cluster Analysis[MESH]|Female[MESH]|Humans[MESH]|Inflammation/physiopathology[MESH]|Male[MESH]|Middle Aged[MESH]|Prospective Studies[MESH] |