Literature DB >> 20226647

Predicting risk of airflow obstruction in primary care: Validation of the lung function questionnaire (LFQ).

Nicola A Hanania1, David M Mannino, Barbara P Yawn, Douglas W Mapel, Fernando J Martinez, James F Donohue, Mark Kosinski, Regina Rendas-Baum, Matthew Mintz, Steven Samuels, Priti Jhingran, Anand A Dalal.   

Abstract

The Lung Function Questionnaire (LFQ) is being developed as a case finding tool to identify patients who are appropriate for spirometry testing to confirm the diagnosis of chronic obstructive pulmonary disease (COPD). The cross-sectional study reported herein was conducted to validate the LFQ, to identify item-response scales associated with the best accuracy, and to determine the impact on accuracy of the addition of another item on activity limitations (AL). Patients >or= 40 years old seen at 2 primary care offices completed the LFQ, a demographic questionnaire followed by spirometry. Of the 837 evaluable patients, 18.6% had airflow obstruction (forced expiratory volume in 1 s/forced vital capacity [FEV(1)/FVC] < 0.70). The 5 items (age, wheeze, dyspnea, smoking, and cough) previously identified in initial LFQ development predicted airflow obstruction and showed good evidence of screening accuracy. Screening accuracy was significantly better with 5-point ordinal item-response scales (78%) than binary (yes/no) item-response scales (74%)(p < 0.05). Screening accuracy was good regardless of whether airflow obstruction was defined as FEV(1)/FVC < 0.70 or FEV(1)/FVC < 0.70 and FEV(1) < 80% of predicted. Based on <or=18 was selected to suggest presence of airflow obstruction with area under the receiver operating characteristic curve 0.652; sensitivity 82.6%; specificity 47.8%; 54.3% correctly classified. While the specificity of LFQ is low, its high sensitivity suggests that it can serve to identify patients who should be further assessed using spirometry. Our results confirm the screening accuracy of the LFQ, a simple and effective tool to facilitate early recognition and diagnosis of COPD. Copyright 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20226647     DOI: 10.1016/j.rmed.2010.02.009

Source DB:  PubMed          Journal:  Respir Med        ISSN: 0954-6111            Impact factor:   3.415


  37 in total

1.  Spirometry in primary care for case finding and management of chronic obstructive pulmonary disease primary care diagnostic technology update.

Authors:  Gary Parkes; Annette Plüddemann; Carl Heneghan; Christopher P Price; Jane Wolstenholme; Matthew Thompson
Journal:  Br J Gen Pract       Date:  2011-11       Impact factor: 5.386

2.  Laryngeal measurements and diagnostic tools for diagnosis of chronic obstructive pulmonary disease.

Authors:  Verónica Casado; Sandra M Navarro; Andrés E Alvarez; Mercedes Villafañe; Ana Miranda; Natalia Spaans
Journal:  Ann Fam Med       Date:  2015 Jan-Feb       Impact factor: 5.166

3.  [Dyspnea. From the concept up to diagnostics].

Authors:  R Ewert; S Gläser
Journal:  Internist (Berl)       Date:  2015-08       Impact factor: 0.743

4.  Prevalence of airway obstruction assessed by lung function questionnaire.

Authors:  Matthew L Mintz; Barbara P Yawn; David M Mannino; James F Donohue; Nicola A Hanania; Catherine A Grellet; Alicia W Gilsenan; Lori D McLeod; Anand A Dalal; Ibrahim H Raphiou; Barbara A Prillaman; Glenn D Crater; Michael J Cicale; Douglas W Mapel
Journal:  Mayo Clin Proc       Date:  2011-05       Impact factor: 7.616

5.  A New Approach for Identifying Patients with Undiagnosed Chronic Obstructive Pulmonary Disease.

Authors:  Fernando J Martinez; David Mannino; Nancy Kline Leidy; Karen G Malley; Elizabeth D Bacci; R Graham Barr; Russ P Bowler; MeiLan K Han; Julia F Houfek; Barry Make; Catherine A Meldrum; Stephen Rennard; Byron Thomashow; John Walsh; Barbara P Yawn
Journal:  Am J Respir Crit Care Med       Date:  2017-03-15       Impact factor: 21.405

6.  Case-finding options for COPD: results from the Burden of Obstructive Lung Disease study.

Authors:  Anamika Jithoo; Paul L Enright; Peter Burney; A Sonia Buist; Eric D Bateman; Wan C Tan; Michael Studnicka; Filip Mejza; Suzanne Gillespie; William M Vollmer
Journal:  Eur Respir J       Date:  2012-06-27       Impact factor: 16.671

7.  Targeting Persons With or At High Risk for Chronic Obstructive Pulmonary Disease by State-based Surveillance.

Authors:  Roy A Pleasants; Khosrow Heidari; Anne G Wheaton; Jill A Ohar; Charlie Strange; Janet B Croft; Winston Liao; David M Mannino; Monica Kraft
Journal:  COPD       Date:  2015-09-14       Impact factor: 2.409

8.  Identifying Patients with Undiagnosed COPD in Primary Care Settings: Insight from Screening Tools and Epidemiologic Studies.

Authors:  MeiLan K Han; Anna W Steenrod; Elizabeth D Bacci; Nancy K Leidy; David M Mannino; Byron M Thomashow; R G Barr; Barry J Make; Russ P Bowler; Stephen I Rennard; Julia F Houfek; Barbara P Yawn; Catherine A Meldrum; John W Walsh; Fernando J Martinez
Journal:  Chronic Obstr Pulm Dis       Date:  2015

9.  Diagnosis of chronic obstructive pulmonary disease in the primary care setting.

Authors:  D Spyratos; D Chloros; L Sichletidis
Journal:  Hippokratia       Date:  2012-01       Impact factor: 0.471

10.  Grading Severity of Productive Cough Based on Symptoms and Airflow Obstruction.

Authors:  Rodrigo Vazquez Guillamet; Hans Petersen; Paula Meek; Akshay Sood; Yohannes Tesfaigzi
Journal:  COPD       Date:  2018-04-26       Impact factor: 2.409

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