4.3 Article

Phenotypic Clustering in Non-Cystic Fibrosis Bronchiectasis Patients: The Role of Eosinophils in Disease Severity

Publisher

MDPI
DOI: 10.3390/ijerph18168431

Keywords

non-cystic fibrosis bronchiectasis; eosinophil counts; biostatistical analyses; multivariate analyses; clinical outcomes; phenotypic clusters; disease severity scores

Funding

  1. FEDER, ISC-III [FIS 18/00075, FIS 21/00215]
  2. CIBERES (ISC-III)
  3. SEPAR 2020
  4. ZAMBON-PHARMA (Spain)
  5. Spanish Ministry of Science and Innovation
  6. FEDER [PGC 2018-101251-B-I00, CEX2018-000792-M]
  7. Generalitat de Catalunya (ICREA Academia programme)

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This study investigated whether high blood eosinophil counts could define a better phenotype in bronchiectasis patients and identified two distinct clinical phenotypes based on blood eosinophil counts. Patients above the threshold exhibited significantly better clinical outcomes, lung function, and nutritional status while showing lower systemic inflammation levels. These results contribute to better characterizing bronchiectasis patients into phenotypic profiles with clinical implications.
Whether high blood eosinophil counts may define a better phenotype in bronchiectasis patients, as shown in chronic obstructive pulmonary disease (COPD), remains to be investigated. Differential phenotypic characteristics according to eosinophil counts were assessed using a biostatistical approach in a large cohort study from the Spanish Online Bronchiectasis Registry (RIBRON). The 906 patients who met the inclusion criteria were clustered into two groups on the basis of their eosinophil levels. The potential differences according to the bronchiectasis severity index (BSI) score between two groups (Mann-Whitney U test and eosinophil count threshold: 100 cells/mu L) showed the most balanced cluster sizes: above-threshold and below-threshold groups. Patients above the threshold exhibited significantly better clinical outcomes, lung function, and nutritional status, while showing lower systemic inflammation levels. The proportion of patients with mild disease was higher in the above-threshold group, while the below-threshold patients were more severe. Two distinct clinical phenotypes of stable patients with non-cystic fibrosis (CF) bronchiectasis of a wide range of disease severity were established on the basis of blood eosinophil counts using a biostatistical approach. Patients classified within the above-threshold cluster were those exhibiting a mild disease, significantly better clinical outcomes, lung function, and nutritional status while showing lower systemic inflammatory levels. These results will contribute to better characterizing bronchiectasis patients into phenotypic profiles with their clinical implications.

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