application of the asthma phenotype algorithm from the severe asthma research program to an urban population应用程序从严重哮喘哮喘表型算法的研究项目,城市人口.pdf

Application of the Asthma Phenotype Algorithm from the Severe Asthma Research Program to an Urban Population 1 1 1 2 2 Paru Patrawalla , Angeliki Kazeros , Linda Rogers , Yongzhao Shao , Mengling Liu , Maria- 1 2 1 Elena Fernandez-Beros , Shulian Shang , Joan Reibman * 1 Division of Pulmonary and Critical Care Medicine, Department of Medicine, New York University School of Medicine, New York, New York, United States of America, 2 Environmental Medicine, New York University School of Medicine, New York, New York, United States of America Abstract Rationale: Identification and characterization of asthma phenotypes are challenging due to disease complexity and heterogeneity. The Severe Asthma Research Program (SARP) used unsupervised cluster analysis to define 5 phenotypically distinct asthma clusters that they replicated using 3 variables in a simplified algorithm. We evaluated whether this simplified SARP algorithm could be used in a separate and diverse urban asthma population to recreate these 5 phenotypic clusters. Methods: The SARP simplified algorithm was applied to adults with asthma recruited to the New York University/Bellevue Asthma Registry (NYUBAR) to classify patients into five groups. The clinical phenotypes were summarized and compared. Results: Asthma subjects in NYUBAR (n = 471) were predominantly women (70%) and Hispanic (57%), which were demographically different from the SARP population. The clinical phenotypes of the five groups generated by the simplified SARP algorithm were distinct across groups and distributed similarly to those described for the SARP population. Groups 1 and 2 (6 and 63%, re