Back to Search Start Over

A simplified score to quantify comorbidity in COPD.

Authors :
Nirupama Putcha
Milo A Puhan
M Bradley Drummond
MeiLan K Han
Elizabeth A Regan
Nicola A Hanania
Carlos H Martinez
Marilyn Foreman
Surya P Bhatt
Barry Make
Joe Ramsdell
Dawn L DeMeo
R Graham Barr
Stephen I Rennard
Fernando Martinez
Edwin K Silverman
James Crapo
Robert A Wise
Nadia N Hansel
Source :
PLoS ONE, Vol 9, Iss 12, p e114438 (2014)
Publication Year :
2014
Publisher :
Public Library of Science (PLoS), 2014.

Abstract

Comorbidities are common in COPD, but quantifying their burden is difficult. Currently there is a COPD-specific comorbidity index to predict mortality and another to predict general quality of life. We sought to develop and validate a COPD-specific comorbidity score that reflects comorbidity burden on patient-centered outcomes.Using the COPDGene study (GOLD II-IV COPD), we developed comorbidity scores to describe patient-centered outcomes employing three techniques: 1) simple count, 2) weighted score, and 3) weighted score based upon statistical selection procedure. We tested associations, area under the Curve (AUC) and calibration statistics to validate scores internally with outcomes of respiratory disease-specific quality of life (St. George's Respiratory Questionnaire, SGRQ), six minute walk distance (6MWD), modified Medical Research Council (mMRC) dyspnea score and exacerbation risk, ultimately choosing one score for external validation in SPIROMICS.Associations between comorbidities and all outcomes were comparable across the three scores. All scores added predictive ability to models including age, gender, race, current smoking status, pack-years smoked and FEV1 (p

Subjects

Subjects :
Medicine
Science

Details

Language :
English
ISSN :
19326203
Volume :
9
Issue :
12
Database :
Directory of Open Access Journals
Journal :
PLoS ONE
Publication Type :
Academic Journal
Accession number :
edsdoj.4a3d969c0f6843ceb3306fae54f714aa
Document Type :
article
Full Text :
https://doi.org/10.1371/journal.pone.0114438