CASTER: Cross-Sectional Asthma STEroid Response Measurement.

asthma inhaled corticosteroids pharmacogenetics steroid response

Journal

Journal of personalized medicine
ISSN: 2075-4426
Titre abrégé: J Pers Med
Pays: Switzerland
ID NLM: 101602269

Informations de publication

Date de publication:
20 Aug 2020
Historique:
received: 20 07 2020
revised: 11 08 2020
accepted: 17 08 2020
entrez: 23 8 2020
pubmed: 23 8 2020
medline: 23 8 2020
Statut: epublish

Résumé

Asthma patient response to inhaled corticosteroids (ICS) is variable and difficult to quantify. We aimed to define a measure of steroid response suitable for pharmacogenetic research in longitudinal and cross-sectional cohorts. Using longitudinal data from the Childhood Asthma Management Program (CAMP) asthma cohort, we defined the Cross-sectional Asthma STEroid Response (CASTER) measure in cross-sectional data. We then applied this to cross-sectional slices of four independent asthma cohorts: The Improving Asthma Control Trial (IMPACT), the Salmeterol or Corticosteroids Study (SOCS), the Pediatric Asthma Controller Trial (PACT), and the Genetics of Asthma in Costa Rica Study (GACRS). CASTER achieved high accuracy on the childhood asthma cohorts: GACRS, PACT, and also on cross-sectional data from CAMP (AUCs 82%, 71%, 63%, respectively). This demonstrates that select cross-sectional clinical information is sufficient to identify good and poor responders to ICS treatment in childhood asthma. Thus, CASTER represents a major improvement in the usability and applicability of steroid response measures in asthma research.

Identifiants

pubmed: 32825299
pii: jpm10030095
doi: 10.3390/jpm10030095
pmc: PMC7564544
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : NHLBI NIH HHS
ID : R01 HL123915
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL139634
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL141826
Pays : United States
Organisme : NIH HHS
ID : HL139634
Pays : United States

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Auteurs

Alvin T Kho (AT)

Computational Health Informatics Program, Boston Children's Hospital, Boston, MA 02215, USA.

Joanne Sordillo (J)

PRecisiOn Medicine Translational Research (PROMoTeR) Center, Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA 02215, USA.

Ann Chen Wu (AC)

PRecisiOn Medicine Translational Research (PROMoTeR) Center, Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA 02215, USA.

Michael H Cho (MH)

Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02215, USA.

Sunita Sharma (S)

Department of Medicine-Pulmonary Sciences and Critical Care Medicine, University of Colorado Denver, Aurora, CO 80010, USA.

Anshul Tiwari (A)

Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02215, USA.

Jessica Lasky-Su (J)

Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02215, USA.

Scott T Weiss (ST)

Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02215, USA.

Kelan G Tantisira (KG)

Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02215, USA.

Michael J McGeachie (MJ)

Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02215, USA.

Classifications MeSH