H
Huashi Li
Researcher at Wake Forest University
Publications - 25
Citations - 4017
Huashi Li is an academic researcher from Wake Forest University. The author has contributed to research in topics: Asthma & Single-nucleotide polymorphism. The author has an hindex of 12, co-authored 21 publications receiving 3477 citations. Previous affiliations of Huashi Li include National Institutes of Health & University of Arizona.
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Journal ArticleDOI
Identification of Asthma Phenotypes Using Cluster Analysis in the Severe Asthma Research Program
Wendy C. Moore,Deborah A. Meyers,Sally E. Wenzel,W. Gerald Teague,Huashi Li,Xingnan Li,Ralph B. D'Agostino,Mario Castro,Douglas Curran-Everett,Anne M. Fitzpatrick,Benjamin Gaston,Nizar N. Jarjour,Ronald L. Sorkness,William J. Calhoun,Kian Fan Chung,Suzy A.A. Comhair,Raed A. Dweik,Elliot Israel,Stephen P. Peters,William W. Busse,Serpil C. Erzurum,Eugene R. Bleecker +21 more
TL;DR: Five distinct clinical phenotypes of asthma have been identified using an unsupervised hierarchical cluster analysis, which supports clinical heterogeneity in asthma and the need for new approaches for the classification of disease severity in asthma.
Journal ArticleDOI
Sputum neutrophil counts are associated with more severe asthma phenotypes using cluster analysis
Wendy C. Moore,Annette T. Hastie,Xingnan Li,Huashi Li,William W. Busse,Nizar N. Jarjour,Sally E. Wenzel,Stephen P. Peters,Deborah A. Meyers,Eugene R. Bleecker +9 more
TL;DR: In this paper, a multivariate approach identified four asthma subphenotypes representing the severity spectrum from mild-to-moderate allergic asthma with minimal or eosinophil-predominant sputum inflammation to moderate to severe asthma with neutrophil-or mixed granulocytic inflammation.
Journal ArticleDOI
Analyses of asthma severity phenotypes and inflammatory proteins in subjects stratified by sputum granulocytes.
Annette T. Hastie,Wendy C. Moore,Deborah A. Meyers,Penny L. Vestal,Huashi Li,Stephen P. Peters,Eugene R. Bleecker +6 more
TL;DR: Combined increased sputum eosinophils and neutrophils identified patients with asthma with the lowest lung function, worse asthma control, and increased symptoms and health care requirements.
Journal ArticleDOI
Heterogeneity of severe asthma in childhood: confirmation by cluster analysis of children in the National Institutes of Health/National Heart, Lung, and Blood Institute Severe Asthma Research Program.
Anne M. Fitzpatrick,W. Gerald Teague,Deborah A. Meyers,Stephen P. Peters,Xingnan Li,Huashi Li,Sally E. Wenzel,Shean J. Aujla,Mario Castro,Leonard B. Bacharier,Benjamin Gaston,Eugene R. Bleecker,Wendy C. Moore +12 more
TL;DR: How children with severe asthma are distributed across a cluster analysis and how well these clusters conform to current definitions of asthma severity are determined.
Journal ArticleDOI
Biomarker surrogates do not accurately predict sputum eosinophil and neutrophil percentages in asthmatic subjects
Annette T. Hastie,Wendy C. Moore,Huashi Li,Brian Rector,Victor E. Ortega,Rodolfo M. Pascual,Stephen P. Peters,Deborah A. Meyers,Eugene R. Bleecker +8 more
TL;DR: In this article, the accuracy in predicting airway eosinophil and neutrophil percentages either individually or combined is not established, but it is shown that Feno levels, IBE levels, and Feno fraction of exhaled nitric oxide (Feno) levels are poor surrogates for accurately predicting sputum eOSINophil percentage.