Skip to main content

Main menu

  • Home
  • Current Issue
  • Content
    • Current Issue
    • Early Access
    • Multimedia
    • Podcast
    • Collections
    • Past Issues
    • Articles by Subject
    • Articles by Type
    • Supplements
    • Plain Language Summaries
    • Calls for Papers
  • Info for
    • Authors
    • Reviewers
    • Job Seekers
    • Media
  • About
    • Annals of Family Medicine
    • Editorial Staff & Boards
    • Sponsoring Organizations
    • Copyrights & Permissions
    • Announcements
  • Engage
    • Engage
    • e-Letters (Comments)
    • Subscribe
    • Podcast
    • E-mail Alerts
    • Journal Club
    • RSS
    • Annals Forum (Archive)
  • Contact
    • Contact Us
  • Careers

User menu

  • My alerts

Search

  • Advanced search
Annals of Family Medicine
  • My alerts
Annals of Family Medicine

Advanced Search

  • Home
  • Current Issue
  • Content
    • Current Issue
    • Early Access
    • Multimedia
    • Podcast
    • Collections
    • Past Issues
    • Articles by Subject
    • Articles by Type
    • Supplements
    • Plain Language Summaries
    • Calls for Papers
  • Info for
    • Authors
    • Reviewers
    • Job Seekers
    • Media
  • About
    • Annals of Family Medicine
    • Editorial Staff & Boards
    • Sponsoring Organizations
    • Copyrights & Permissions
    • Announcements
  • Engage
    • Engage
    • e-Letters (Comments)
    • Subscribe
    • Podcast
    • E-mail Alerts
    • Journal Club
    • RSS
    • Annals Forum (Archive)
  • Contact
    • Contact Us
  • Careers
  • Follow annalsfm on Twitter
  • Visit annalsfm on Facebook
Research ArticleOriginal Research

COPD Population in US Primary Care: Data From the Optimum Patient Care DARTNet Research Database and the Advancing the Patient Experience in COPD Registry

Wilson D. Pace, Elias Brandt, Victoria A. Carter, Ku-Lang Chang, Chelsea L. Edwards, Alexander Evans, Chester Fox, Gabriela Gaona, MeiLan K. Han, Alan G. Kaplan, Rachel Kent, Janwillem W. H. Kocks, Maja Kruszyk, Chantal E. Le Lievre, Tessa Li Voti, Cathy Mahle, Barry Make, Amanda R. Ratigan, Asif Shaikh, Neil Skolnik, Brooklyn Stanley, Barbara P. Yawn and David B. Price
The Annals of Family Medicine July 2022, 20 (4) 319-327; DOI: https://doi.org/10.1370/afm.2829
Wilson D. Pace
1DARTNet Institute, Aurora, Colorado;
2University of Colorado Denver, Denver, Colorado;
MD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Elias Brandt
1DARTNet Institute, Aurora, Colorado;
MSc
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Victoria A. Carter
3Optimum Patient Care, Cambridge, United Kingdom;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Ku-Lang Chang
4University of Florida College of Medicine, Gainesville, Florida;
MD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Chelsea L. Edwards
5Optimum Patient Care, Brisbane, Australia;
PhD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Alexander Evans
3Optimum Patient Care, Cambridge, United Kingdom;
MSc
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Chester Fox
1DARTNet Institute, Aurora, Colorado;
6University at Buffalo, Buffalo, New York;
MD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Gabriela Gaona
1DARTNet Institute, Aurora, Colorado;
MPH
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
MeiLan K. Han
7University of Michigan, Ann Arbor, Michigan;
MD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Alan G. Kaplan
8Observational & Pragmatic Research Institute, Singapore;
9Family Physician Airways Group of Canada, Stouffville, Ontario, Canada;
10University of Toronto, Toronto, Canada;
MD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Rachel Kent
1DARTNet Institute, Aurora, Colorado;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Janwillem W. H. Kocks
8Observational & Pragmatic Research Institute, Singapore;
11General Practitioners Research Institute, Groningen, The Netherlands;
MD, PhD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Maja Kruszyk
5Optimum Patient Care, Brisbane, Australia;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Chantal E. Le Lievre
5Optimum Patient Care, Brisbane, Australia;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Tessa Li Voti
3Optimum Patient Care, Cambridge, United Kingdom;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Cathy Mahle
12Boehringer Ingelheim, Ridgefield, Connecticut;
PhD, MBA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Barry Make
13Department of Medicine, National Jewish Health, Denver, Colorado;
MD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Amanda R. Ratigan
1DARTNet Institute, Aurora, Colorado;
PhD, MPH
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Asif Shaikh
12Boehringer Ingelheim, Ridgefield, Connecticut;
MD, MPH
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Neil Skolnik
14Thomas Jefferson University, Woodbury, New Jersey;
15Abington Jefferson Health, Jenkintown, Pennsylvania;
MD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Brooklyn Stanley
3Optimum Patient Care, Cambridge, United Kingdom;
8Observational & Pragmatic Research Institute, Singapore;
MSc
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Barbara P. Yawn
16University of Minnesota, Minneapolis, Minnesota;
17COPD Foundation, Washington, DC;
MD, MSc, MSPH
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
David B. Price
8Observational & Pragmatic Research Institute, Singapore;
18Centre of Academic Primary Care, Division of Applied Health Sciences, University of Aberdeen, Aberdeen, United Kingdom
FRCGP
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: dprice@opri.sg
  • Article
  • Figures & Data
  • eLetters
  • Info & Metrics
  • PDF
Loading

Article Figures & Data

Figures

  • Tables
  • Additional Files
  • Figure 1.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 1.

    Prevalence of comorbidities in COPD patients in the COPD-RD (n = 17,192) and the APEX-COPD registry (n = 1,354).

    APEX = Advancing the Patient Experience; COPD = chronic obstructive pulmonary disease; COPD-RD = COPD Optimum Patient Care DARTNet Research Database; CRS = chronic rhinosinusitis; GERD = gastresophageal reflux disease.

  • Figure 2.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 2.

    Proportion of patients included in the COPD-RD (n = 17,192) and the APEX-COPD registry (n = 1,354) and who experienced exacerbations in the last year.

    APEX = Advancing the Patient Experience; COPD = chronic obstructive pulmonary disease; COPD-RD = COPD Optimum Patient Care DARTNet Research Database.

    Note: See Supplemental Table 6 for exacerbation algorithm.

  • Figure 3.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 3.

    COPD treatment use among patients included in the COPD-RD (n = 17,192) and APEX-COPD registry (n = 1,354).

    APEX = Advancing the Patient Experience; COPD = chronic obstructive pulmonary disease; COPD-RD = COPD Optimum Patient Care DARTNet Research Database; ICS = inhaled corticosteroid; LABA = long-acting β2-agonist; LAMA = long-acting muscarinic antagonist; LTRA = leukotriene receptor antagonist.

    a Prescribed with or without phopohodiesterase-4, macrolide, theophylline, or LTRA.

    b Prescribed with LTRA.

    c Prescribed with or without theophylline or LTRA.

Tables

  • Figures
  • Additional Files
    • View popup
    Table 1.

    Description of Variables Used for Disease Monitoring

    VariableScoreDescription
    CT20,22<10Low impact: Most days are good, but COPD causes a few problems and stops people from doing 1-2 things they would like to do
    10-20Medium impact: COPD is one of the most important problems that they have
    21-30High impact: COPD stops people from doing most of things that they want to do
    >30Very high impact: COPD stops people from doing everything that they want to do; they never have good days
    mMRC dyspnea scale21,220Dyspnea only with strenuous exercise
    1Dyspnea when hurrying or walking up a slight hill
    2Walks slower than people of the same age because of dyspnea or has to stop for breath when walking at own pace
    3Stops for breath after walking 100 yards (91 m) or after a few minutes
    4Too dyspneic to leave house or breathless when dressing
    GOLD Group22ALess symptoms, low risk: mMRC 0-1, CT <10, 0 or 1 moderate or severe exacerbations (not leading to hospital admission)
    BMore symptoms, low risk: mMRC ≥2, CT ≥10, 0 or 1 moderate or severe exacerbations (not leading to hospital admission)
    CLess symptoms, high risk: mMRC 0-1, CT <10, ≥2 moderate or severe exacerbations or ≥1 leading to hospital admission
    DMore symptoms, high risk: mMRC ≥2, CT ≥10, ≥2 moderate or severe exacerbations or ≥1 leading to hospital admission
    • COPD = chronic obstructive pulmonary disease; CT = chronic obstructive pulmonary disease assessment test; GOLD = Global initiative for chronic Obstructive Lung Disease; mMRC = modified Medical Research Council.

    • View popup
    Table 2.

    Demographics of COPD Patients in the COPD-RD and APEX-COPD Registry

    CharacteristicCOPD-RD (n = 17,192)APEX-COPD Registry (n = 1,354)P Value
    Site, No. (%)
      Ohio8,722 (50.7)565 (41.7) 
      North Carolina6,038 (35.1)585 (43.2) 
      New York  1,149 (6.7)  79 (5.8) 
      Texas  811 (4.7)  63 (4.7) 
      Colorado  472 (2.7)  62 (4.6) 
    Gender, No. (%)
      Female9,689 (56.4)759 (56.1).830
    Age, y
      Mean (SD)    67.4 (11.3)  69.3 (10.1) 
      35-44, No. (%)  376 (2.2)  15 (1.1) 
      45-54, No. (%)1,646 (9.6)  68 (5.0).000
      55-64, No. (%)5,182 (30.1)355 (26.2) 
      65-74, (No. %)5,400 (31.4)509 (37.6) 
      75-84, No. (%)3,307 (19.2)305 (22.5) 
      ≥85 years, No. (%)1,281 (7.5)102 (7.5) 
    BMI (kg/m2)a
      Mean (SD)    29.6 (11.1)  29.2 (8.3) 
      <18.5, underweight, No. (%)  813 (4.8)  57 (4.3).886
      18.5 to <25, normal, No. (%)4,408 (26.2)356 (26.6) 
      25 to <30, overweight, No. (%)4,670 (27.7)382 (28.6) 
      ≥30, obese, No. (%)6,958 (41.3)543 (40.6) 
    Race and ethnicity, No. (%)b
      White9,732 (63.9)749 (67.3) 
      African American3,613 (23.7)165 (14.8) 
      Hispanic1,744 (11.5)194 (17.4).484
      Asian  83 (0.5)    1 (0.1) 
      American Indian  46 (0.3)    3 (0.3) 
      Native Hawaiian    7 (0.0)    1 (0.1) 
      Multi-race    0 (0.0)    0 (0.0) 
    Smoking status, No. (%)c
      Smokers6,428 (41.2)414 (31.2) 
      Ex-smokers7,356 (47.1)751 (56.6).000
      Non-smokersd1,824 (11.7)162 (12.2) 
      Unknown smoking status1,584 (9.2)27 (2.0) 
    • APEX = Advancing the Patient Experience; BMI = body mass index; COPD = chronic obstructive pulmonary disease; COPD-RD = COPD Optimum Patient Care DARTNet Research Database.

    • ↵a Data missing: COPD-RD n = 16,849, APEX-COPD n = 1,338.

    • ↵b Race and ethnicity are not mutually exclusive. Data missing: COPD-RD n = 15,225, APEX-COPD n = 1,113.

    • ↵c Data missing: APEX-COPD n = 1,327.

    • ↵d An overestimate as some ex-smokers were coded incorrectly as non-smokers at 1 site.

    • View popup
    Table 3.

    Clinical Characteristics of COPD Patients in the COPD-RD and APEX-COPD Registry

    CharacteristicCOPD-RD (n = 17,192)APEX in COPD Registry (n = 1,354)P Value
    Exacerbations, No. (%)
      ≥1 exacerbation in last 12 months6,579 (38.3)EHR: 640 (47.3)
    PRIO: 646/1294 (49.9)
    .000
      ≥1 exacerbation in last 24 months9,874 (57.4)EHR: 782 (57.8).001
    Recorded vaccination, No (%)
      Influenza in the last 12 months4,561 (26.5)508 (37.5).000
      Pneumococcal in the past 10 years9,811 (57.1)881 (65.1).000
    Steady state eosinophils (cells/μL)a
      Mean (SD)212.8 (226.8)232.8 (181.8).001
      <150, No. (%)4,062 (45.7)166 (35.5) 
      150-300, No. (%)3,102 (34.9)199 (42.5) 
      >300, No. (%)1,718 (19.3)103 (22.0) 
    • APEX = Advancing the Patient Experience; COPD = chronic obstructive pulmonary disease; COPD-RD = COPD Optimum Patient Care DARTNet Research Database; EHR = electronic health record; PRIO = patient-reported information/outcome.

    • ↵a Data missing: COPD-RD n = 8,882, APEX-COPD n = 468.

    • View popup
    Table 4.

    Additional PRIO Data for COPD Patients in the APEX-COPD Registry (N = 1,354)

    VariableAPEX-COPD Registry
    Sample SizeNo. (%)
    COPD assessment testn = 1,322 
      < 10 (Low) 238 (18.0)
      10-20 (Medium) 504 (38.1)
      21-30 (High) 453 (34.3)
      >30 (Very high) 127 (9.6)
    mMRCn = 1,315 
      Grade 0 258 (19.6)
      Grade 1 469 (35.7)
      Grade 2 325 (24.7)
      Grade 3 195 (14.8)
      Grade 4 68 (5.2)
    GOLD characteristicsn = 1,236 
      Less symptoms, low risk (GOLD A) 178 (14.4)
      More symptoms, low risk (GOLD B) 586 (47.4)
      Less symptoms, high risk (GOLD C) 37 (3.0)
      More symptoms, high risk (GOLD D) 435 (35.2)
    Number of exacerbations in the past 12 monthsn = 1,294 
      0 648 (50.1)
      1 241 (18.6)
      2 139 (10.7)
      3+ 266 (20.6)
    Number of hospitalizations in the past 12 monthsn = 1,246 
      0 1,000 (80.3)
      1 123 (9.9)
      2 45 (3.6)
      3+ 78 (6.2)
    Smoking statusn = 1,327 
      Smokers 414 (31.2)
      Ex-smokers 751 (56.6)
      Non-smokers 162 (12.2)
    • APEX = Advancing the Patient Experience; CT = chronic obstructive pulmonary disease assessment test; COPD = chronic obstructive pulmonary disease; GOLD = Global Initiative for chronic Obstructive Lung Disease; mMRC = modified Medical Research Council; PRI = patient reported information; PRIO = patient reported information/outcomes.

    • Note: Missing data for each variable.

    • View popup
    Table 5.

    Disease Management Therapy of COPD Patients in COPD-RD and APEX-COPD Registry

    Type of TherapyInhaled TherapyCOPD-RD (n = 17,192), No. (%)APEX-COPD Registry (n = 1,354), No. (%)P Value
    NoneNo therapy    565 (3.3)103 (7.6) 
    Reliever onlySABA, SAMA, SABA+SAMA1,587 (9.2)  66 (4.9) 
    Controller therapyLABAa     46 (0.3)    4 (0.3) 
    LAMAa2,127 (12.4)  55 (4.1) 
    LABA + LAMAa2,265 (13.2)240 (17.7).000
    ICSa   756 (4.4)  47 (3.5) 
    ICS + LABAa5,070 (29.5)325 (24.0) 
    ICS + LAMAa      66 (0.4)    5 (0.4) 
    ICS + LABA + LAMAa4,658 (27.1)509 (37.6) 
    Macrolidesb8,087 (47.0)613 (45.3) 
    • APEX = Advancing the Patient Experience; COPD = chronic obstructive pulmonary disease; COPD-RD = COPD Optimum Patient Care DARTNet Research Database; ICS = inhaled corticosteroids; LABA = long-acting β2-agoninst; LAMA = long-acting muscarinic antagonist; SABA = short-acting β-agonist; SAMA = short-acting muscarinic antagonist.

    • ↵a May be prescripted with or without reliever therapy.

    • ↵b Any macrolide code in last 12 months.

Additional Files

  • Figures
  • Tables
  • SUPPLEMENTAL APPENDIX AND TABLES 1-6 IN PDF FILE BELOW

    • Price_Supp.pdf
PreviousNext
Back to top

In this issue

The Annals of Family Medicine: 20 (4)
The Annals of Family Medicine: 20 (4)
Vol. 20, Issue 4
July/August 2022
  • Table of Contents
  • Index by author
  • PLAIN LANGUAGE ARTICLE SUMMARIES
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word on Annals of Family Medicine.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
COPD Population in US Primary Care: Data From the Optimum Patient Care DARTNet Research Database and the Advancing the Patient Experience in COPD Registry
(Your Name) has sent you a message from Annals of Family Medicine
(Your Name) thought you would like to see the Annals of Family Medicine web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
10 + 5 =
Solve this simple math problem and enter the result. E.g. for 1+3, enter 4.
Citation Tools
COPD Population in US Primary Care: Data From the Optimum Patient Care DARTNet Research Database and the Advancing the Patient Experience in COPD Registry
Wilson D. Pace, Elias Brandt, Victoria A. Carter, Ku-Lang Chang, Chelsea L. Edwards, Alexander Evans, Chester Fox, Gabriela Gaona, MeiLan K. Han, Alan G. Kaplan, Rachel Kent, Janwillem W. H. Kocks, Maja Kruszyk, Chantal E. Le Lievre, Tessa Li Voti, Cathy Mahle, Barry Make, Amanda R. Ratigan, Asif Shaikh, Neil Skolnik, Brooklyn Stanley, Barbara P. Yawn, David B. Price
The Annals of Family Medicine Jul 2022, 20 (4) 319-327; DOI: 10.1370/afm.2829

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Get Permissions
Share
COPD Population in US Primary Care: Data From the Optimum Patient Care DARTNet Research Database and the Advancing the Patient Experience in COPD Registry
Wilson D. Pace, Elias Brandt, Victoria A. Carter, Ku-Lang Chang, Chelsea L. Edwards, Alexander Evans, Chester Fox, Gabriela Gaona, MeiLan K. Han, Alan G. Kaplan, Rachel Kent, Janwillem W. H. Kocks, Maja Kruszyk, Chantal E. Le Lievre, Tessa Li Voti, Cathy Mahle, Barry Make, Amanda R. Ratigan, Asif Shaikh, Neil Skolnik, Brooklyn Stanley, Barbara P. Yawn, David B. Price
The Annals of Family Medicine Jul 2022, 20 (4) 319-327; DOI: 10.1370/afm.2829
Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • INTRODUCTION
    • METHODS
    • RESULTS
    • DISCUSSION
    • Acknowledgments
    • Footnotes
    • References
  • Figures & Data
  • eLetters
  • Info & Metrics
  • PDF

Related Articles

  • PubMed
  • Google Scholar

Cited By...

  • Adverse Outcomes Associated With Inhaled Corticosteroid Use in Individuals With Chronic Obstructive Pulmonary Disease
  • Looking Back to Move Forward: Reflections of PBRN Directors
  • Google Scholar

More in this TOC Section

  • Performance-Based Reimbursement, Illegitimate Tasks, Moral Distress, and Quality Care in Primary Care: A Mediation Model of Longitudinal Data
  • Adverse Outcomes Associated With Inhaled Corticosteroid Use in Individuals With Chronic Obstructive Pulmonary Disease
  • Family-Based Interventions to Promote Weight Management in Adults: Results From a Cluster Randomized Controlled Trial in India
Show more Original Research

Similar Articles

Keywords

  • APEX
  • characterization
  • electronic medical records
  • patient reported outcomes
  • primary care

Content

  • Current Issue
  • Past Issues
  • Early Access
  • Plain-Language Summaries
  • Multimedia
  • Podcast
  • Articles by Type
  • Articles by Subject
  • Supplements
  • Calls for Papers

Info for

  • Authors
  • Reviewers
  • Job Seekers
  • Media

Engage

  • E-mail Alerts
  • e-Letters (Comments)
  • RSS
  • Journal Club
  • Submit a Manuscript
  • Subscribe
  • Family Medicine Careers

About

  • About Us
  • Editorial Board & Staff
  • Sponsoring Organizations
  • Copyrights & Permissions
  • Contact Us
  • eLetter/Comments Policy

© 2025 Annals of Family Medicine