Accuracy of Vitalograph lung monitor as a screening test for COPD in primary care.


Journal

NPJ primary care respiratory medicine
ISSN: 2055-1010
Titre abrégé: NPJ Prim Care Respir Med
Pays: England
ID NLM: 101631999

Informations de publication

Date de publication:
03 01 2020
Historique:
received: 14 05 2019
accepted: 13 11 2019
entrez: 5 1 2020
pubmed: 5 1 2020
medline: 17 3 2021
Statut: epublish

Résumé

Microspirometry may be useful as the second stage of a screening pathway among patients reporting respiratory symptoms. We assessed sensitivity and specificity of the Vitalograph® lung monitor compared with post-bronchodilator confirmatory spirometry (ndd Easy on-PC) among primary care chronic obstructive pulmonary disease (COPD) patients within the Birmingham COPD cohort. We report a case-control analysis within 71 general practices in the UK. Eligible patients were aged ≥40 years who were either on a clinical COPD register or reported chronic respiratory symptoms on a questionnaire. Participants performed pre- and post-bronchodilator microspirometry, prior to confirmatory spirometry. Out of the 544 participants, COPD was confirmed in 337 according to post-bronchodilator confirmatory spirometry. Pre-bronchodilator, using the LLN as a cut-point, the lung monitor had a sensitivity of 50.5% (95% CI 45.0%, 55.9%) and a specificity of 99.0% (95% CI 96.6%, 99.9%) in our sample. Using a fixed ratio of FEV

Identifiants

pubmed: 31900421
doi: 10.1038/s41533-019-0158-2
pii: 10.1038/s41533-019-0158-2
pmc: PMC6941963
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

2

Subventions

Organisme : Department of Health
ID : RP-PG-0109-10061
Pays : United Kingdom

Références

Halbert, R. J. et al. Global burden of COPD: systematic review and meta-analysis. Eur. Respir. J. 28, 523–532 (2006).
doi: 10.1183/09031936.06.00124605
Chapman, K. R. et al. Epidemiology and costs of chronic obstructive pulmonary disease. Eur. Respir. J. 27, 188–207 (2006).
doi: 10.1183/09031936.06.00024505
Lozano, R. et al. Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet 380, 2095–2128 (2012).
doi: 10.1016/S0140-6736(12)61728-0
Global Initiative for Chronic Obstructive Lung Disease. Global Strategy for the Diagnosis, Management, and Prevention of Chronic Obstructive Pulmonary Disease. 2017 Report (Global Initiative for Chronic Obstructive Lung Disease, 2017).
Gibson, G. J., Loddenkemper, R., Sibille, Y. & Lundback, B. Respiratory health and disease in Europe: the new European Lung White Book. Eur. Respir. J. 42, 559–563 (2013).
Mannino, D. M., Gagnon, R. C., Petty, T. L. & Lydick, E. Obstructive lung disease and low lung function in adults in the United States: data from the National Health and Nutrition Examination Survey, 1988–1994. Arch. Intern. Med. 160, 1683–1689 (2000).
doi: 10.1001/archinte.160.11.1683
Labonte, L. E. et al. Undiagnosed chronic obstructive pulmonary disease contributes to the burden of health care use. data from the CanCOLD study. Am. J. Respir. Crit. Care Med. 194, 285–298 (2016).
doi: 10.1164/rccm.201509-1795OC
Soriano, J. B., Zielinski, J. & Price, D. Screening for and early detection of chronic obstructive pulmonary disease. Lancet 374, 721–732 (2009).
doi: 10.1016/S0140-6736(09)61290-3
Lamprecht, B. et al. Determinants of underdiagnosis of COPD in national and international surveys. Chest 148, 971–985 (2015).
doi: 10.1378/chest.14-2535
US Preventive Services Task Force. Screening for chronic obstructive pulmonary disease: US Preventive Services Task Force Recommendation Statement. JAMA 315, 1372–1377 (2016).
doi: 10.1001/jama.2016.2638
UK National Screening Committee. An evaluation of screening for COPD against the National Screening Committee criteria (2013).
Solutions for Public Health. Screening for chronic obstructive pulmonary disease (COPD) in the general adult population. External review against programme appraisal criteria for the UK National Screening Committee (2018).
Haroon, S., Jordan, R., Takwoingi, Y. & Adab, P. Diagnostic accuracy of screening tests for COPD: a systematic review and meta-analysis. BMJ Open 5, e008133 (2015).
doi: 10.1136/bmjopen-2015-008133
Ronaldson, S. J. et al. Determining the optimal approach to identifying individuals with chronic obstructive pulmonary disease: the DOC study. J. Eval. Clin. Pract. 24, 487–495 (2018).
doi: 10.1111/jep.12896
Enright, P. L., CONNETT, J. E. & BAILEY, W. C. The FEV1/FEV6 predicts lung function decline in adult smokers. Respir. Med. 96, 444–449 (2002).
doi: 10.1053/rmed.2001.1270
Jing, J. Y., Huang, T. C., Cui, W., Xu, F. & Shen, H. H. Should FEV1/FEV6 replace FEV1/FVC ratio to detect airway obstruction? A metaanalysis. Chest 135, 991–998 (2009).
doi: 10.1378/chest.08-0723
Lamprecht, B. et al. Six-second spirometry for detection of airway obstruction: a population-based study in Austria. Am. J. Respir. Crit. Care Med. 176, 460–464 (2007).
doi: 10.1164/rccm.200702-337OC
Melbye, H., Medbo, A. & Crockett, A. The FEV1/FEV6 ratio is a good substitute for the FEV1/FVC ratio in the elderly. Prim. Care Respir. J. 15, 294–298 (2006).
doi: 10.1016/j.pcrj.2006.07.002
Labor, M., Vrbica, Z., Gudelj, I., Labor, S. & Plavec, D. Diagnostic accuracy of a pocket screening spirometer in diagnosing chronic obstructive pulmonary disease in general practice: a cross sectional validation study using tertiary care as a reference. BMC Fam. Pract. 17, 112 (2016).
doi: 10.1186/s12875-016-0518-8
Represas-Represas, C. et al. Screening for chronic obstructive pulmonary disease: validity and reliability of a portable device in non-specialized healthcare settings. PLoS ONE 11, e0145571 (2016).
doi: 10.1371/journal.pone.0145571
Frith, P. et al. Simplified COPD screening: validation of the PiKo-6 in primary care. Prim. Care Respir. J. 20, 190–198 (2011).
doi: 10.4104/pcrj.2011.00040
van den Bemt, L. et al. Diagnostic accuracy of pre-bronchodilator FEV1/FEV6 from microspirometry to detect airflow obstruction in primary care: a randomised cross-sectional study. NPJ Prim. Care Respir. Med. 24, 14033 (2014).
doi: 10.1038/npjpcrm.2014.33
Franco-Marina, F. et al. Efficient screening for COPD using three steps: a cross-sectional study in Mexico City. NPJ Prim. Care Respir. Med. 24, 14002 (2014).
doi: 10.1038/npjpcrm.2014.2
Kim, J. K. et al. Active case finding strategy for chronic obstructive pulmonary disease with handheld spirometry. Medicine (Baltimore) 95, e5683 (2016).
doi: 10.1097/MD.0000000000005683
Thorn, J. et al. Improved prediction of COPD in at-risk patients using lung function pre-screening in primary care: a real-life study and cost-effectiveness analysis. Prim. Care Respir. J. 21, 159–166 (2012).
doi: 10.4104/pcrj.2011.00104
Kaufmann, M., Hartl, S., Geyer, K., Breyer, M. K. & Burghuber, O. C. Measuring FEV(6) for detecting early airway obstruction in the primary care setting. Quality and utility of the new PiKo-6 device. Respiration 78, 161–167 (2009).
doi: 10.1159/000197466
Sichletidis, L. et al. A combination of the IPAG questionnaire and PiKo-6(R) flow meter is a valuable screening tool for COPD in the primary care setting. Prim. Care Respir. J. 20, 184–189 (2011).
doi: 10.4104/pcrj.2011.00038
National Institute for Health and Care Excellence. Chronic Obstructive Pulmonary Disease in over 16 s: Diagnosis and Management. Report No. ng115 (National Institute for Health and Care Excellence, 2018).
Miller, M. R. & Levy, M. L. Chronic obstructive pulmonary disease: missed diagnosis versus misdiagnosis. BMJ 351, h3021 (2015).
doi: 10.1136/bmj.h3021
van Dijk, W. et al. Clinical relevance of fixed ratio vs lower limit of normal of FEV1/FVC in COPD: patient-reported outcomes from the CanCOLD cohort. Ann. Fam. Med. 13, 41–48 (2015).
doi: 10.1370/afm.1714
American Thoracic Society. Lung function testing: selection of reference values and interpretative strategies. Am. Rev. Respir. Dis. 144, 1202–1218 (1991).
doi: 10.1164/ajrccm/144.5.1202
Miller, M. R. et al. Clinical characteristics of patients newly diagnosed with COPD by the fixed ratio and lower limit of normal criteria: a cross-sectional analysis of the TargetCOPD trial. Int. J. Chronic Obstr. Pulm. Dis. 13, 1979–1986 (2018).
doi: 10.2147/COPD.S146914
Schermer, T. R. et al. Accuracy and precision of desktop spirometers in general practices. Respiration 83, 344–352 (2012).
Marshall, M., Jackson, J. & Cooper, B. G. Does it matter which type of spirometer is used to measure FEVI, FVC and VC? Thorax 54, A78 (1999).
Duong-Quy, S. et al. Early detection of smoking related chronic obstructive pulmonary disease in Vietnam. Rev. Mal. Respir. 26, 267–274 (2009).
doi: 10.1016/S0761-8425(09)72583-5
Poels, P. J. et al. Variation in spirometry utilization between trained general practitioners in practices equipped with a spirometer. Scand. J. Prim. Health Care 24, 81–87 (2006).
doi: 10.1080/02813430500504362
Adab, P. et al. Cohort profile: the Birmingham Chronic Obstructive Pulmonary Disease (COPD) cohort study. Int. J. Epidemiol. https://doi.org/10.1093/ije/dyv350 (2016).
doi: 10.1093/ije/dyv350
Jordan, R. E. et al. Targeted case finding for chronic obstructive pulmonary disease versus routine practice in primary care (TargetCOPD): a cluster-randomised controlled trial. Lancet Respir. Med. 4, 720–730 (2016).
doi: 10.1016/S2213-2600(16)30149-7
Hankinson, J. L., Odencrantz, J. R. & Fedan, K. B. Spirometric reference values from a sample of the general U.S. population. Am. J. Respir. Crit. Care Med. 159, 179–187 (1999).
doi: 10.1164/ajrccm.159.1.9712108
Miller, M. R. et al. ATS/ERS Task Force: standardisation of spirometry. Eur. Respir. J. 26, 319–338 (2005).
doi: 10.1183/09031936.05.00034805
Mercaldo, N. D., Lau, K. F. & Zhou, X. H. Confidence intervals for predictive values with an emphasis to case-control studies. Stat. Med. 26, 2170–2183 (2007).
doi: 10.1002/sim.2677
Bossuyt, P. M. et al. STARD 2015: an updated list of essential items for reporting diagnostic accuracy studies. BMJ 351, h5527 (2015).
doi: 10.1136/bmj.h5527

Auteurs

A P Dickens (AP)

Institute of Applied Health Research, University of Birmingham, Birmingham, UK. a.p.dickens@bham.ac.uk.

D A Fitzmaurice (DA)

Warwick Medical School - Health Sciences, University of Warwick, Coventry, UK.

P Adab (P)

Institute of Applied Health Research, University of Birmingham, Birmingham, UK. p.adab@bham.ac.uk.

A Sitch (A)

Institute of Applied Health Research, University of Birmingham, Birmingham, UK.

R D Riley (RD)

Centre for Prognosis Research, Research Institute for Primary Care and Health Sciences, Keele University, Keele, UK.

A Enocson (A)

Institute of Applied Health Research, University of Birmingham, Birmingham, UK.

R E Jordan (RE)

Institute of Applied Health Research, University of Birmingham, Birmingham, UK.

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