Phenotyping of difficult asthma using longitudinal physiological and biomarker measurements reveals significant differences in stability between clusters
Tasneem Zaihra; Christopher J. Walsh; Sara Ahmed; C. Fugère; Qutayba Hamid; Ronald Olivenstein; James G. Martin; Andrea Benedetti · 2016 · BMC Pulmonary Medicine
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
BACKGROUND: Although the heterogeneous nature of asthma has prompted asthma phenotyping with physiological or biomarker data, these studies have been mostly cross-sectional. Longitudinal studies that assess the stability of phenotypes based on a combination of physiological, clinical and biomarker data are currently lacking. Our objective was to assess the longitudinal stability of clusters derived from repeated measures of airway and physiological data over a 1-year period in moderate and severe asthmatics. METHODS: A total of 125 subjects, 48 with moderate asthma (MA) and 77 with severe asth
Abstract by Tasneem Zaihra; Christopher J. Walsh; Sara Ahmed; C. Fugère; Qutayba Hamid; Ronald Olivenstein; James G. Martin; Andrea Benedetti, BMC Pulmonary Medicine (2016) — licensed CC BY 4.0.
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Metadata source: OpenAlex · DOI 10.1186/s12890-016-0232-2