Addressing Reduced Laboratory-Based Pulmonary Function Testing During a Pandemic

Andrew Kouri, Samir Gupta, Azadeh Yadollahi, Clodagh M Ryan, Andrea S Gershon, Teresa To, Susan M Tarlo, Roger S Goldstein, Kenneth R Chapman, Chung-Wai Chow, Andrew Kouri, Samir Gupta, Azadeh Yadollahi, Clodagh M Ryan, Andrea S Gershon, Teresa To, Susan M Tarlo, Roger S Goldstein, Kenneth R Chapman, Chung-Wai Chow

Abstract

To reduce the spread of the severe acute respiratory syndrome coronavirus 2, many pulmonary function testing (PFT) laboratories have been closed or have significantly reduced their testing capacity. Because these mitigation strategies may be necessary for the next 6 to 18 months to prevent recurrent peaks in disease prevalence, fewer objective measurements of lung function will alter the diagnosis and care of patients with chronic respiratory diseases. PFT, which includes spirometry, lung volume, and diffusion capacity measurement, is essential to the diagnosis and management of patients with asthma, COPD, and other chronic lung conditions. Both traditional and innovative alternatives to conventional testing must now be explored. These may include peak expiratory flow devices, electronic portable spirometers, portable exhaled nitric oxide measurement, airwave oscillometry devices, and novel digital health tools such as smartphone microphone spirometers and mobile health technologies along with integration of machine learning approaches. The adoption of some novel approaches may not merely replace but could improve existing management strategies and alter common diagnostic paradigms. With these options comes important technical, privacy, ethical, financial, and medicolegal barriers that must be addressed. However, the coronavirus disease 19 pandemic also presents a unique opportunity to augment conventional testing by including innovative and emerging approaches to measuring lung function remotely in patients with respiratory disease. The benefits of such an approach have the potential to enhance respiratory care and empower patient self-management well beyond the current global pandemic.

Keywords: COPD; COVID-19 pandemic; SARS-CoV-2; asthma; pulmonary function test; review.

Copyright © 2020 American College of Chest Physicians. Published by Elsevier Inc. All rights reserved.

References

    1. Dong E., Du H., Gardner L. An interactive web-based dashboard to track COVID-19 in real time. Lancet Infect Dis. 2020;20(5):533–534.
    1. McCormack M.C., Kaminsky D.A. Pulmonary function laboratories: advice regarding COVID-19.
    1. Ferguson N., Laydon D., Nedjati Gilani G., et al. Report 9: impact of non-pharmaceutical interventions (NPIs) to reduce COVID19 mortality and healthcare demand.
    1. Kissler S.M., Tedijanto C., Goldstein E., Grad Y.H., Lipsitch M. Projecting the transmission dynamics of SARS-CoV-2 through the postpandemic period. Science. 2020;368(6493):860–868.
    1. Henneberger P.K., Patel J.R., Groene GJ de, et al. Workplace interventions for treatment of occupational asthma. Cochrane Database Syst Rev. 2019;10(10):CD006308.
    1. Keesara S., Jonas A., Schulman K. Covid-19 and health care’s digital revolution. N Engl J Med. 2020;382(23):e82.
    1. Graham B.L., Steenbruggen I., Miller M.R., et al. Standardization of spirometry 2019 update. An official American Thoracic Society and European Respiratory Society technical statement. Am J Respir Crit Care Med. 2019;200(8):e70–e88.
    1. World Health Organization Chronic respiratory diseases (asthma, COPD) in Western Pacific.
    1. Global Initiative for Asthma Global strategy for asthma management and prevention. Available from: Accessed April 22, 2020.
    1. Cowie R.L., Underwood M.F., Field S.K. Asthma symptoms do not predict spirometry. Can Respir J. 2007;14(6):339–342.
    1. Yawn B.P., Enright P.L., Lemanske R.F., et al. Spirometry can be done in family physicians’ offices and alters clinical decisions in management of asthma and COPD. Chest. 2007;132(4):1162–1168.
    1. Global Initiative for Chronic Obstructive Lung Disease Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease: 2020 report.
    1. Aaron S.D., Vandemheen K.L., FitzGerald J.M., et al. Reevaluation of diagnosis in adults with physician-diagnosed asthma. JAMA. 2017;317(3):269–279.
    1. Gershon A.S., Hwee J., Chapman K.R., et al. Factors associated with undiagnosed and overdiagnosed COPD. Eur Respir J. 2016;48(2):561–564.
    1. Gershon A.S., Victor J.C., Guan J., Aaron S.D., To T. Pulmonary function testing in the diagnosis of asthma: a population study. Chest. 2012;141(5):1190–1196.
    1. Chapman K.R., Tashkin D.P., Pye D.J. Gender bias in the diagnosis of COPD. Chest. 2001;119(6):1691–1695.
    1. Martinez F.J., Flaherty K. Pulmonary function testing in idiopathic interstitial pneumonias. Proc Am Thorac Soc. 2006;3(4):315–321.
    1. Galiè N., Humbert M., Vachiery J.-L., et al. 2015 ESC/ERS Guidelines for the diagnosis and treatment of pulmonary hypertension. The Joint Task Force for the Diagnosis and Treatment of Pulmonary Hypertension of the European Society of Cardiology (ESC) and the European Respiratory Society (ERS): Endorsed by: Association for European Paediatric and Congenital Cardiology (AEPC), International Society for Heart and Lung Transplantation (ISHLT) Eur Heart J. 2015;37(1):67–119.
    1. Mogayzel P.J., Naureckas E.T., Robinson K.A., et al. Cystic fibrosis pulmonary guidelines: chronic medications for maintenance of lung health. Am J Respir Crit Care Med. 2013;187(7):680–689.
    1. Pasteur M.C., Bilton D., Hill A.T. British Thoracic Society Bronchiectasis non-CF Guideline Group. British Thoracic Society guideline for non-CF bronchiectasis. Thorax. 2010;65(suppl 1):i1–i58.
    1. Adegunsoye A., Strek M.E., Garrity E., Guzy R., Bag R. Comprehensive care of the lung transplant patient. Chest. 2017;152(1):150–164.
    1. Wong A.W., Fidler L., Marcoux V., et al. Practical considerations for the diagnosis and treatment of fibrotic interstitial lung disease during the COVID-19 pandemic. Chest. 2020;158(3):1069–1078.
    1. Mann D.M., Chen J., Chunara R., Testa P.A., Nov O. COVID-19 transforms health care through telemedicine: evidence from the field. J Am Med Inform Assoc. 2020;27(7):1132–1135.
    1. Hull J.H., Lloyd J.K., Cooper B.G. Lung function testing in the COVID-19 endemic. Lancet Respir Med. 2020;8(7):666–667.
    1. European Respiratory Society ERS 9.1 statement on lung function during COVID-19.
    1. Moore V.C., Jaakkola M.S., Burge C.B.S.G., et al. A new diagnostic score for occupational asthma: the area between the curves (ABC Score) of peak expiratory flow on days at and away from work. Chest. 2009;135(2):307–314.
    1. Martinez F.J., Mannino D., Leidy N.K., et al. A new approach for identifying patients with undiagnosed chronic obstructive pulmonary disease. Am J Respir Crit Care Med. 2017;195(6):748–756.
    1. Jithoo A., Enright P., Burney P., et al. Case-finding options for COPD: results from the BOLD study. Eur Respir J. 2013;41(3):548–555.
    1. Mahboub B., Alzaabi A., Soriano J.B., et al. Case-finding of chronic obstructive pulmonary disease with questionnaire, peak flow measurements and spirometry: a cross-sectional study. BMC Res Notes. 2014;7:241.
    1. Perez-Padilla R., Vollmer W.M., Vázquez-García J.C., Enright P.L., Menezes A.M.B., Buist A.S. Can a normal peak expiratory flow exclude severe chronic obstructive pulmonary disease? Int J Tuberc Lung Dis. 2009;13(3):387–393.
    1. Hansen E.F., Vestbo J., Phanareth K., Kok-Jensen A., Dirksen A. Peak flow as predictor of overall mortality in asthma and chronic obstructive pulmonary disease. Am J Respir Crit Care Med. 2001;163(3):690–693.
    1. Aggarwal A.N., Gupta D., Jindal S.K. The relationship between FEV1 and peak expiratory flow in patients with airways obstruction is poor. Chest. 2006;130(5):1454–1461.
    1. Brand P.L., Duiverman E.J., Waalkens H.J., van Essen-Zandvli E.E., Kerrebijn K.F. Peak flow variation in childhood asthma: correlation with symptoms, airways obstruction, and hyperresponsiveness during long term treatment with inhaled corticosteroids. Dutch CNSLD Study Group. Thorax. 1999;54(2):103–107.
    1. Pothirat C., Chaiwong W., Phetsuk N., et al. Peak expiratory flow rate as a surrogate for forced expiratory volume in 1 second in COPD severity classification in Thailand. Int J Chron Obstruct Pulmon Dis. 2015;10:1213–1218.
    1. Llewellin P., Sawyer G., Lewis S., et al. The relationship between FEV1 and PEF in the assessment of the severity of airways obstruction. Respirology. 2002;7(4):333–337.
    1. Kamps A.W.A., Roorda R.J., Brand P.L.P. Peak flow diaries in childhood asthma are unreliable. Thorax. 2001;56(3):180–182.
    1. Carpenter D.M., Jurdi R., Roberts C.A., Hernandez M., Horne R., Chan A. A review of portable electronic spirometers: implications for asthma self-management. Curr Allergy Asthma Rep. 2018;18(10):53.
    1. Ring B, Burbank AJ, Mills K, Ivins S, Dieffenderfer J, Hernandez ML. Validation of an app-based portable spirometer in adolescents with asthma [published online ahead of print December 8, 2019]. J Asthma..
    1. Vegesna A., Tran M., Angelaccio M., Arcona S. Remote patient monitoring via non-invasive digital technologies: a systematic review. Telemed E-Health. 2016;23(1):3–17.
    1. Russell A.-M., Adamali H., Molyneaux P.L., et al. Daily home spirometry: an effective tool for detecting progression in idiopathic pulmonary fibrosis. Am J Respir Crit Care Med. 2016;194(8):989–997.
    1. Zhou P., Yang L., Huang Y.-X. A smart phone based handheld wireless spirometer with functions and precision comparable to laboratory spirometers. Sensors (Basel) 2019;19(11):2487.
    1. Loiseau C., Lemonnier F., Randrianarivelo O., et al. Home spirometry in bronchiolitis obliterans after allogeneic haematopoietic cell transplant. Eur Respir J. 2018;52(1):1702328.
    1. Hernández C.R., Fernández M.N., Sanmartín A.P., et al. Validation of the portable Air-Smart Spirometer. PLoS One. 2018;13(2)
    1. Dweik R.A., Boggs P.B., Erzurum S.C., et al. An official ATS clinical practice guideline: interpretation of exhaled nitric oxide levels (FENO) for clinical applications. Am J Respir Crit Care Med. 2011;184(5):602–615.
    1. Berkman N., Avital A., Breuer R., Bardach E., Springer C., Godfrey S. Exhaled nitric oxide in the diagnosis of asthma: comparison with bronchial provocation tests. Thorax. 2005;60(5):383–388.
    1. Michils A., Baldassarre S., Van Muylem A. Exhaled nitric oxide and asthma control: a longitudinal study in unselected patients. Eur Respir J. 2008;31(3):539–546.
    1. Barnes P.J., Dweik R.A., Gelb A.F., et al. Exhaled nitric oxide in pulmonary diseases: a comprehensive review. Chest. 2010;138(3):682–692.
    1. Silkoff P.E., McClean P.A., Slutsky A.S., et al. Marked flow-dependence of exhaled nitric oxide using a new technique to exclude nasal nitric oxide. Am J Respir Crit Care Med. 1997;155(1):260–267.
    1. Korevaar D.A., Westerhof G.A., Wang J., et al. Diagnostic accuracy of minimally invasive markers for detection of airway eosinophilia in asthma: a systematic review and meta-analysis. Lancet Respir Med. 2015;3(4):290–300.
    1. Price D.B., Buhl R., Chan A., et al. Fractional exhaled nitric oxide as a predictor of response to inhaled corticosteroids in patients with non-specific respiratory symptoms and insignificant bronchodilator reversibility: a randomised controlled trial. Lancet Respir Med. 2018;6(1):29–39.
    1. Selvanathan J., Aaron S.D., Sykes J.R., et al. Performance characteristics of spirometry with negative bronchodilator response and methacholine challenge testing and implications for asthma diagnosis. Chest. 2020;158(2):479–490.
    1. Cockcroft D.W., Davis B.E., Blais C.M. Comparison of methacholine and mannitol challenges: importance of method of methacholine inhalation. Allergy Asthma Clin Immunol. 2020;16(1):1–12.
    1. Harnan S.E., Tappenden P., Essat M., et al. Measurement of exhaled nitric oxide concentration in asthma: a systematic review and economic evaluation of NIOX MINO, NIOX VERO and NObreath. Health Technol Assess Winch Engl. 2015;19(82):1–330.
    1. Usmani O.S. Calling time on spirometry: unlocking the silent zone in acute rejection post lung transplantation. Am J Respir Crit Care Med. 2020;201(12):1468–1470.
    1. Frantz S., Nihlén U., Dencker M., Engström G., Löfdahl C.G., Wollmer P. Impulse oscillometry may be of value in detecting early manifestations of COPD. Respir Med. 2012;106(8):1116–1123.
    1. Dean J., Kolsum U., Hitchen P., Gupta V., Singh D. Clinical characteristics of COPD patients with tidal expiratory flow limitation. Int J Chron Obstruct Pulmon Dis. 2017;12:1503–1506.
    1. Tang FSM, Rutting S, Farrow CE, et al. Ventilation heterogeneity and oscillometry predict asthma control improvement following step-up inhaled therapy in uncontrolled asthma [published online ahead of print February 5, 2020]. Respirology..
    1. Eddy R.L., Westcott A., Maksym G.N., Parraga G., Dandurand R.J. Oscillometry and pulmonary magnetic resonance imaging in asthma and COPD. Physiol Rep. 2019;7(1)
    1. Cho E., Wu J.K.Y., Birriel D.C., et al. Airway oscillometry detects spirometric-silent episodes of acute cellular rejection. Am J Respir Crit Care Med. 2020;201(12):1536–1544.
    1. Wu J.K., DeHaas E., Nadj R., et al. Development of quality assurance and quality control guidelines for respiratory oscillometry in clinic studies. Respir Care. 2020;65(11):1687–1693.
    1. King G.G., Bates J., Berger K.I., et al. Technical standards for respiratory oscillometry. Eur Respir J. 2020;55 1900753.
    1. Jara-Gutierrez P., Aguado E., Del Potro M.G., Fernandez-Nieto M., Mahillo I., Sastre J. Comparison of impulse oscillometry and spirometry for detection of airway hyperresponsiveness to methacholine, mannitol, and eucapnic voluntary hyperventilation in children. Pediatr Pulmonol. 2019;54(8):1162–1172.
    1. Wong A., Hardaker K., Field P., et al. Home-based forced oscillation technique day-to-day variability in pediatric asthma. Am J Respir Crit Care Med. 2019;199(9):1156–1160.
    1. Lundblad L.K.A., Siddiqui S., Bossé Y., Dandurand R.J. Applications of oscillometry in clinical research and practice [published online ahead of print September 4, 2019] Can J Respir Crit Care Sleep Med. 2019 doi: 10.1080/24745332.2019.1649607.
    1. Dandurand R.J., Lavoie J.-P., Lands L.C., Hantos Z. Comparison of oscillometry devices using active mechanical test loads. ERJ Open Res. 2019;5(4):00160–02019.
    1. Thorasys Shaping new perspectives on pulmonary function - tremoflo Airwave Oscillometry.
    1. Sim I. Mobile devices and health. N Engl J Med. 2019;381(10):956–968.
    1. Rahman MM, Nathan V, Nemati E, Vatanparvar K, Ahmed M, Kuang J. Towards reliable data collection and annotation to extract pulmonary digital biomarkers using mobile sensors. In: Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare; May 2019; Trento, Italy. p 179-188.
    1. Larson EC, Goel M, Boriello G, Heltshe S, Rosenfeld M, Patel SN. SpiroSmart: using a microphone to measure lung function on a mobile phone. In: Proceedings of the 2012 ACM Conference on Ubiquitous Computing; September 5-8, 2012; Pittsburgh, PA. p 280-289.
    1. Viswanath V, Garrison J, Patel S. SpiroConfidence: Determining the validity of smartphone based spirometry using machine learning. Presented at: 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC); July 17-21, 2018; Honolulu, HI.
    1. Chung H., Jeong C., Luhach A.K., Nam Y., Lee J. Remote pulmonary function test monitoring in Cloud platform via smartphone built-in microphone. Evol Bioinform Online. 2019;15 1176934319888904.
    1. Thap T., Chung H., Jeong C., et al. High-resolution time-frequency spectrum-based lung function test from a smartphone microphone. Sensors (Basel) 2016;16(8) 1305.
    1. Zubaydi F, Sagahyroon A, Aloul F, Mir H. MobSpiro: mobile based spirometry for detecting COPD. Presented at: 2017 IEEE 7th Annual Computing and Communication Workshop and Conference (CCWC). January 9-11, 2017; Las Vegas, NV.
    1. Hui C.Y., Walton R., McKinstry B., Jackson T., Parker R., Pinnock H. The use of mobile applications to support self-management for people with asthma: a systematic review of controlled studies to identify features associated with clinical effectiveness and adherence. J Am Med Inform Assoc. 2017;24(3):619–632.
    1. Miller L., Schüz B., Walters J., Walters E.H. Mobile technology interventions for asthma self-management: systematic review and meta-analysis. JMIR MHealth UHealth. 2017;5(5):e57.
    1. Yang F., Wang Y., Yang C., Hu H., Xiong Z. Mobile health applications in self-management of patients with chronic obstructive pulmonary disease: a systematic review and meta-analysis of their efficacy. BMC Pulm Med. 2018;18(1):147.
    1. Morrison D., Mair F.S., Yardley L., Kirby S., Thomas M. Living with asthma and chronic obstructive airways disease: using technology to support self-management – an overview. Chron Respir Dis. 2017;14(4):407–419.
    1. Esteban C., Moraza J., Esteban C., et al. Machine learning for COPD exacerbation prediction. Eur Respir J. 2015;46(suppl 59) OA3282.
    1. Boubacar H.A., Texereau J. Ensemble machine learning for the early detection of COPD exacerbations. Eur Respir J. 2017;50(suppl 61) PA3461.
    1. Orchard P., Agakova A., Pinnock H., et al. Improving prediction of risk of hospital admission in chronic obstructive pulmonary disease: application of machine learning to telemonitoring data. J Med Internet Res. 2018;20(9):e263.
    1. Kelly C.J., Karthikesalingam A., Suleyman M., Corrado G., King D. Key challenges for delivering clinical impact with artificial intelligence. BMC Med. 2019;17(1):195.
    1. Centers for Medicare & Medicaid Services Trump administration makes sweeping regulatory changes to help U.S. healthcare system address COVID-19 patient surge.

Source: PubMed

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