Spirometric Flow-Volume Curve. Is Visual Analysis Reliable for Detecting Obstruction in Borderline FEV1/FVC Maneuvers?
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Abstract
Introduction: It is proposed that the concavity of the spirometric flow-volume curve could represent early airflow obstruction. The usual way to report it is through visual analysis.
Methods: Through an anonymous virtual survey directed at specialist and trainee pulmonologists, the concordance in the visual evaluation of the flow-volume curve was assessed using Fleiss' kappa statistic. The survey included only images of curves (14 in total) from maneuvers close to their lower normal limit. These curves were characterized as "obstructive" or "non-obstructive". Additionally, respondents were asked to specify their years of experience and the number of spirometric reports they processed weekly to create subgroups.
Results: A total of 124 surveys were analyzed. The global kappa value was 0.293. The intrasubject kappa analysis showed a value of 0.002. According to years of practice, the values were: <5 years: 0.286; 5 to 10 years: 0.423; >10 years: 0.239. Adjusted by the number of weekly spirometric reports, the results were: less than 10: 0.381; 10 to 30: 0.266; more than 30: 0.227. All values were statistically significant, except for the intrasubject analysis. There were no significant differences in age, FVC, FEV1, FEV1/FVC or their respective z-scores in the maneuvers categorized as “obstructive” or “non-obstructive”.
Conclusions: The kappa values found show minimal concordance among professionals regarding the visual evaluation of the flow-volume curve, with no differences when classified by experience. Therefore, the results are not precise.
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Wu TD, McCormack MC, Mitzner W. The history of pulmonary function testing. Springer International Publishing, Basel, 2018; pp. 15–42. https://doi.org/10.1007/978-3-319-94159-2_2
Hyatt RE, Schilder DP, Fry DL. Relationship between maximum expiratory flow and degree of lung inflation. J Applied Physiol 1958;13(3):331–336. https://doi.org/10.1152/jappl.1958.13.3.331
Stanojevic S, Kaminsky DA, Miller, Thompson B, Aliverti A, Barjaktarevic I et al. ERS/ATS technical standard on interpretive strategies for routine lung function tests. Eur Resp J 2022;60(1):2101499. https://doi.org/10.1183/13993003.01499-2021
Hoesterey D, Das N, Janssens W, Cooper CB, Tashkin DP, Barjaktarevic I et al. Spirometric indices of early airflow impairment in individuals at risk of developing COPD: Spirometry beyond FEV1/FVC. Respir Med 2019;156:58–68. https://doi.org/10.1016/j.rmed.2019.08.004
Alotaibi NM, Eddy RL, Sin DD. Mild airways obstruction: spirometric diagnostic pitfalls and solutions. Curr Opin Pulm Med 2024;1;30(2):121-128. https://doi.org/10.1097/MCP.0000000000001023
American Thoracic Society. Standardization of Spirometry, 1994 Update. Am J Respir Crit Care Med 1995;152(3):1107–1136. https://doi.org/10.1164/ajrccm.152.3.7663792
Miller MR, Hankinson J, Brusasco V, Burgos F, Casaburi R, Coates A et al. Standardisation of spirometry. Eur Resp J 2005;26(2):319–338. https://doi.org/10.1183/09031936.05.00034805
Graham BL, Steenbruggen I, Miller MR, Barjaktarevic I, Cooper BG, Hall GL et al. Standardization of Spirometry 2019 Update. An Official American Thoracic Society and European Respiratory Society Technical Statement. Am J Resp Critical Care Med 2019;200(8). https://doi.org/10.1164/rccm.201908-1590ST
Global Lung Function Initiative 2021. GLI Calculator Version 2.0. [Internet]. [Consultado 3 mar 2025]. Disponible en: http://gli-calculator.ersnet.org/index.html
McHugh M. L. Interrater reliability: the kappa statistic. Biochemia Medica 2012;22(3):276–282.
Regan EA, Lynch DA, Curran-Everett D, Curtis JL, Austin JHM, Grenier PA et al. Clinical and Radiologic Disease in Smokers With Normal Spirometry. JAMA Intern Med 2015;175(9):1539–1549. https://doi.org/10.1001/jamainternmed.2015.2735
Postma DS, Brightling C, Baldi S, Van den Berge M, Fabbri LM, Gagnatelli A et al. Exploring the relevance and extent of small airways dysfunction in asthma (ATLANTIS): baseline data from a prospective cohort study. Lancet Respir Med 2019;7:402–416. https://doi.org/10.1016/S2213-2600(19)30049-9
Weiner DJ, Forno E, Sullivan L, Weiner GA, Kurland G. Subjective and Objective Assessments of Flow-Volume Curve Configuration in Children and Young Adults. Ann Am Thorac Soc 2016;13(7):1089–1095. https://doi.org/10.1513/AnnalsATS.201511-774OC