Literature DB >> 27797591

Which is the Best Screening Strategy for COPD among Smokers in Primary Care?

Montserrat Llordés1, Elba Zurdo1, Ángeles Jaén2, Inmaculada Vázquez1, Luís Pastrana3, Marc Miravitlles4.   

Abstract

We developed a questionnaire to detect cases of chronic obstructive pulmonary disease (COPD) and compared its reliability with other strategies. In order to develop the new questionnaire (COPD screening questionnaire from Terrassa [EGARPOC]) we used data from an epidemiological study on the prevalence of COPD in smokers and calculated the odds ratio for each variable showing significance for the diagnosis of COPD on regression analysis. For comparison among questionnaires and the portable spirometer COPD-6, a cross-sectional multicenter study was performed. The study included 407 smokers or ex-smokers over the age of 40 years with no known diagnosis of COPD, who completed the different questionnaires (EGARPOC, Respiratory Health Screening Questionnaire, COPD-population screener and 2 questions) and underwent spirometry with the COPD-6. We determined the sensitivity, specificity, positive and negative predictive values (S, Sp, PPV and NPV, respectively) and the area under the receiver operating characteristic ROC curve (AUC ROC) of all the questionnaires and the different COPD-6 cut-offs. The prevalence of COPD was 26.3%. The EGARPOC questionnaire showed an S of 81.8%, an Sp of 70.6%, and an NPV of 91.8%; 73.3% of individuals were correctly classified, and the AUC ROC was 0.841. On comparing the questionnaires by the Chi-square test, the 2-question questionnaire showed the worst discrimination; while with an optimal cut-off of forced expiratory volume in one 1 second (FEV1)/FEV6 of 0.78, the COPD-6 was significantly better than the questionnaires in the detection of COPD. Using a cut-off of FEV1/FEV6 of 0.78 the COPD-6 was found to be the best screening tool for COPD in primary care compared to the questionnaires tested, which did not show differences among them.

Entities:  

Keywords:  COPD; portable spirometry; prevalence; primary care; questionnaires; screening

Mesh:

Year:  2016        PMID: 27797591     DOI: 10.1080/15412555.2016.1239703

Source DB:  PubMed          Journal:  COPD        ISSN: 1541-2563            Impact factor:   2.409


  10 in total

Review 1.  Accuracy of portable spirometers in the diagnosis of chronic obstructive pulmonary disease A meta-analysis.

Authors:  Na Yu; Wei Wang; Jiawei Zhou; Xiaomeng Li; Xingjian Wang
Journal:  NPJ Prim Care Respir Med       Date:  2022-04-19       Impact factor: 3.289

2.  Multicenter study of the COPD-6 screening device: feasible for early detection of chronic obstructive pulmonary disease in primary care?

Authors:  Peter Kjeldgaard; Jesper Lykkegaard; Heidi Spillemose; Charlotte Suppli Ulrik
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2017-08-04

3.  Point of care microspirometry to facilitate the COPD diagnostic process in primary care: a clustered randomised trial.

Authors:  Tjard R Schermer; Maria Vatsolaki; Robbert Behr; Joke Grootens; Riet Cretier; Reinier Akkermans; Joke Denis; Patrick Poels; Lisette van den Bemt
Journal:  NPJ Prim Care Respir Med       Date:  2018-05-22       Impact factor: 2.871

4.  A scoring system to detect fixed airflow limitation in smokers from simple easy-to-use parameters.

Authors:  Esther Román-Conejos; Antonio Palazón-Bru; David Manuel Folgado-de la Rosa; Manuel Sánchez-Molla; María Mercedes Rizo-Baeza; Vicente Francisco Gil-Guillén; Ernesto Cortés-Castell
Journal:  Sci Rep       Date:  2018-09-06       Impact factor: 4.379

5.  Clinical characteristics and factors associated with triple therapy use in newly diagnosed patients with COPD.

Authors:  Mònica Monteagudo; Miriam Barrecheguren; Iryna Solntseva; Nafeesa Dhalwani; Alison Booth; Alexa Nuñez; Dimitra Lambrelli; Marc Miravitlles
Journal:  NPJ Prim Care Respir Med       Date:  2021-03-22       Impact factor: 2.871

6.  Developing and validating a chronic obstructive pulmonary disease quick screening questionnaire using statistical learning models.

Authors:  Xiaoyue Wang; Hong He; Liang Xu; Cuicui Chen; Jieqing Zhang; Na Li; Xianxian Chen; Weipeng Jiang; Li Li; Linlin Wang; Yuanlin Song; Jing Xiao; Jun Zhang; Dongni Hou
Journal:  Chron Respir Dis       Date:  2022 Jan-Dec       Impact factor: 3.115

Review 7.  What have we learned from observational studies and clinical trials of mild to moderate COPD?

Authors:  Miriam Barrecheguren; Cruz González; Marc Miravitlles
Journal:  Respir Res       Date:  2018-09-17

8.  Performance and Clinical Utility of Various Chronic Obstructive Pulmonary Disease Case-Finding Tools.

Authors:  Chiung-Zuei Chen; Chau-Chyun Sheu; Shih-Lung Cheng; Hao-Chien Wang; Meng-Chih Lin; Wu-Huei Hsu; Kang-Yun Lee; Diahn-Warng Perng; Hen-I Lin; Ming-Shian Lin; Sheng-Hao Lin; Jong-Rung Tsai; Chin-Chou Wang; Cheng-Yi Wang; Tsung-Ming Yang; Ching-Lung Liu; Tsai-Yu Wang; Ching-Hsiung Lin
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2021-12-18

9.  Performance of COPD population screener questionnaire in COPD screening: a validation study and meta-analysis.

Authors:  Yanhui Gu; Ying Zhang; Qian Wen; Yao Ouyang; Yongchun Shen; He Yu; Chun Wan; Jing Zhu; Fuqiang Wen
Journal:  Ann Med       Date:  2021-12       Impact factor: 4.709

10.  Diagnostic accuracy of screening tools for chronic obstructive pulmonary disease in primary health care: Rapid evidence synthesis.

Authors:  Jyoti Tyagi; Sandeep Moola; Soumyadeep Bhaumik
Journal:  J Family Med Prim Care       Date:  2021-07-02
  10 in total

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