Literature DB >> 27579823

Biomarkers Predictive of Exacerbations in the SPIROMICS and COPDGene Cohorts.

Jason D Keene1, Sean Jacobson2, Katerina Kechris3, Gregory L Kinney3, Marilyn G Foreman4, Claire M Doerschuk5, Barry J Make2, Jeffrey L Curtis6,7, Stephen I Rennard8, R Graham Barr9, Eugene R Bleecker10, Richard E Kanner11, Eric C Kleerup12, Nadia N Hansel13, Prescott G Woodruff14, MeiLan K Han6, Robert Paine11, Fernando J Martinez15, Russell P Bowler2, Wanda K O'Neal5.   

Abstract

RATIONALE: Chronic obstructive pulmonary disease exacerbations are associated with disease progression, higher healthcare cost, and increased mortality. Published predictors of future exacerbations include previous exacerbation, airflow obstruction, poor overall health, home oxygen use, and gastroesophageal reflux.
OBJECTIVES: To determine the value of adding blood biomarkers to clinical variables to predict exacerbations.
METHODS: Subjects from the SPIROMICS (Subpopulations and Intermediate Outcomes Measures in COPD Study) (n = 1,544) and COPDGene (Genetic Epidemiology of COPD) (n = 602) cohorts had 90 plasma or serum candidate proteins measured on study entry using Myriad-RBM multiplex panels. We defined total exacerbations as subject-reported worsening in respiratory health requiring therapy with corticosteroids and/or antibiotics, and severe exacerbations as those leading to hospitalizations or emergency room visits. We assessed retrospective exacerbations during the 12 months before enrollment and then documented prospective exacerbations in each cohort. Exacerbations were modeled for biomarker associations with negative binomial regression including clinical covariates (age, sex, percent predicted FEV1, self-reported gastroesophageal reflux, St. George's Respiratory Questionnaire score, smoking status). We used the Stouffer-Liptak test to combine P values for metaanalysis.
MEASUREMENTS AND MAIN RESULTS: Between the two cohorts, 3,471 total exacerbations (1,044 severe) were reported. We identified biomarkers within each cohort that were significantly associated with a history of exacerbation and with a future exacerbation, but there was minimal replication between the cohorts. Although established clinical features were predictive of exacerbations, of the blood biomarkers only decorin and α2-macroglobulin increased predictive value for future severe exacerbations.
CONCLUSIONS: Blood biomarkers were significantly associated with the occurrence of exacerbations but were not robust between cohorts and added little to the predictive value of clinical covariates for exacerbations.

Entities:  

Keywords:  COPD; biomarker; exacerbation

Mesh:

Substances:

Year:  2017        PMID: 27579823      PMCID: PMC5378424          DOI: 10.1164/rccm.201607-1330OC

Source DB:  PubMed          Journal:  Am J Respir Crit Care Med        ISSN: 1073-449X            Impact factor:   21.405


  36 in total

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Journal:  Respir Res       Date:  2014-10-12
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Review 4.  Clinical Epidemiology of COPD: Insights From 10 Years of the COPDGene Study.

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7.  Comparison of Proteomic Assessment Methods in Multiple Cohort Studies.

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Journal:  Proteomics       Date:  2020-06       Impact factor: 3.984

8.  Omics and the Search for Blood Biomarkers in Chronic Obstructive Pulmonary Disease. Insights from COPDGene.

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9.  Systemic Markers of Inflammation in Smokers With Symptoms Despite Preserved Spirometry in SPIROMICS.

Authors:  Suresh Garudadri; Prescott G Woodruff; MeiLan K Han; Jeffrey L Curtis; R Graham Barr; Eugene R Bleecker; Russell P Bowler; Alejandro Comellas; Christopher B Cooper; Gerard Criner; Mark T Dransfield; Nadia N Hansel; Robert Paine; Jerry A Krishnan; Stephen P Peters; Annette T Hastie; Fernando J Martinez; Wanda K O'Neal; David J Couper; Neil E Alexis; Stephanie A Christenson
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