article Open AccessTop 1% cited
Cluster Analysis and Clinical Asthma Phenotypes
American Journal of Respiratory and Critical Care Medicine · 2008 · Vol. 178(3) · pp. 218–224
Pranabashis Haldar✉(Glenfield Hospital)Ian Pavord(Glenfield Hospital)Dominick Shaw(Glenfield Hospital)Michael A. Berry(Glenfield Hospital)Mike Thomas(University of Aberdeen)Christopher E. Brightling(Glenfield Hospital)Andrew J. Wardlaw(Glenfield Hospital)Ruth H. Green(Glenfield Hospital)
Abstract
Cluster analysis offers a novel multidimensional approach for identifying asthma phenotypes that exhibit differences in clinical response to treatment algorithms.
Asthma and respiratory diseasesIL-33, ST2, and ILC PathwaysMedicineAsthmaExacerbationPopulationEosinophilicCluster (spacecraft)Confidence intervalInternal medicineImmunologyPathology
MeSH terms
Adrenal Cortex HormonesAdultAgedAsthmaClassificationFemaleHumansInflammationMaleMiddle AgedPhenotypeProspective StudiesCluster Analysis
Funding
- Pfizer
- AstraZeneca
- GlaxoSmithKline
- Teva Pharmaceutical Industries
- Asthma and Lung UK
Citations
1,981
FWCI
35.25
field-weighted impact
References
26
Percentile
100%
vs. same field & year
Citations per year
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References
The validity of the Hospital Anxiety and Depression Scale
Journal of Psychosomatic Research · 2002 · 9,679 citations
Evidence That Severe Asthma Can Be Divided Pathologically into Two Inflammatory Subtypes with Distinct Physiologic and Clinical Characteristics
American Journal of Respiratory and Critical Care Medicine · 1999 · 1,226 citations
British Guideline on the Management of Asthma
Thorax · 2008 · 2,029 citations
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