Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Cluster analysis of phenotypes, job exposure, and inflammatory patterns in elderly and nonelderly asthma patients.

Allergology international : official journal of the Japanese Society of Allergology - 1 Apr 2024

Chuang Yung-Chi, Tsai Hsin-Hua, Lin Meng-Chih, Wu Chao-Chien, Lin Yuan-Chung, Wang Tsu-Nai

Abstract excerpt

BACKGROUND: Asthma has been identified as different phenotypes due to various risk factors. Age differences may have potential effects on asthma phenotypes. Our study aimed to identify potential asthma phenotypes among adults divided by age as either younger or older than 65 years. We also compared differences in blood granulocyte patterns, occupational asthmagens, and asthma control-related outcomes among...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Aged
Share to Asthma

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Cluster Analysis

Share to Phenotype

Share to Risk Factors

Source

Identifiers

PMID: 38290901
DOI: 10.1016/j.alit.2024.01.001

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 4 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Cluster analysis of phenotypes, job exposure, and inflammatory patterns in elderly and nonelderly asthma patients.PMID 38290901Read ↗

Characterization and cluster analyses of elderly asthma in comparison with nonelderly patients with asthma in Japan.Semantic proximity Read ↗

Classification and implementation of asthma phenotypes in elderly patients.Semantic proximity Read ↗

Distinct Asthma Phenotypes Among Older Adults with Asthma.Semantic proximity Read ↗

Sex-Specific Asthma Phenotypes, Inflammatory Patterns, and Asthma Control in a Cluster Analysis.Semantic proximity Read ↗

Machine learning-derived asthma phenotypes in a representative Swedish adult populationSemantic proximity Read ↗

Phenotyping older adults with asthma by means of cluster analysis.Semantic proximity Read ↗

Late-onset asthma phenotypes by age of onset: a cluster analysis in Swedish population-based cohortsSemantic proximity Read ↗

Classifications of moderate to severe asthma phenotypes in Japan and analysis of serum biomarkers: A Nationwide Cohort Study in Japan (NHOM Asthma Study).Semantic proximity Read ↗

Age-Related Clinical Characteristics, Inflammatory Features, Phenotypes, and Treatment Response in Asthma.Semantic proximity Read ↗

Developing and emerging clinical asthma phenotypes.Semantic proximity Read ↗

Identification of Asthma Phenotypes in the Spanish MEGA Cohort Study Using Cluster Analysis.Semantic proximity Read ↗

Identification of asthma phenotypes using cluster analysis in the Severe Asthma Research Program.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.