Assessment of Ventilatory Heterogeneity in Chronic Obstructive Pulmonary Disease Using the Inspired Sinewave Test

References

• British Lung foundation. Estimating the economic burden of respiratory illness in the UK; 2017. Available from: www.blf.org.uk/what-we-do/our-research/economic-burden. Accessed May 08, 2018.
   Google Scholar
• National Institute for Health and Care Excellence. Chronic obstructive pulmonary disease in adults. Quality Standard 10 (QS10). London: NICE; 2016. Available from: www.nice.org.uk/Guidance/QS10. Accessed May 08, 2018.
   Google Scholar
• Vestbo J, Hurd SS, Agustí AG, et al. Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease. Am J Respir Crit Care Med. 2013;187(4):347–365. doi:10.1164/rccm.201204-0596PP
   PubMed Web of Science ®Google Scholar
• Agusti A, Calverley PM, Celli B, et al. Characterisation of COPD heterogeneity in the ECLIPSE cohort. Respir Res. 2010;11(1):1–14. doi:10.1186/1465-9921-11-122
   PubMedGoogle Scholar
• Miller MR, Hankinson J, Brusasco V, et al. Standardisation of spirometry. Eur Respir J. 2005;26(2):319–338. doi:10.1183/09031936.05.00034805
   PubMed Web of Science ®Google Scholar
• Bellia V, Pistelli R, Catalano F, et al. Quality control of spirometry in the elderly. Am J Respir Crit Care Med. 2000;161(4):1094–1100. doi:10.1164/ajrccm.161.4.9810093
   PubMed Web of Science ®Google Scholar
• Beydon N, Davis SD, Lombardi E, et al. An official American Thoracic Society/European Respiratory Society statement: pulmonary function testing in preschool children. Am J Respir Crit Care Med. 2007;175(12):1304–1345. doi:10.1164/rccm.200605-642ST
   PubMed Web of Science ®Google Scholar
• Han MK, Agusti A, Calverley PM, et al. COPD phenotypes: The future of COPD. Am J Respir Crit Care Med. 2010;182.
   Google Scholar
• Verbeken EK, Cauberghs M, Mertens I, Clement J, Lauweryns JM, Van de Woestijne KP. The senile lung. Comparison with normal and emphysematous lungs. 1. Structural aspects. Chest. 1992;101(3):793–799. doi:10.1378/chest.101.3.793
   PubMed Web of Science ®Google Scholar
• Hogg JC. Pathophysiology of airflow limitation in chronic obstructive pulmonary disease. Lancet. 2004;364(9435):709–721. doi:10.1016/S0140-6736(04)16900-6
   PubMed Web of Science ®Google Scholar
• McDonough JE, Yuan R, Suzuki M, et al. Small-airway obstruction and emphysema in chronic obstructive pulmonary disease. New Engl J Med. 2011;365(17):1567–1575. doi:10.1056/NEJMoa1106955
   PubMed Web of Science ®Google Scholar
• Cosio M, Ghezzo H, Hogg JC, et al. The relations between structural changes in small airways and pulmonary-function tests. New Engl J Med. 1978;298(23):1277–1281. doi:10.1056/NEJM197806082982303
   PubMed Web of Science ®Google Scholar
• Robinson PD, Latzin P, Verbanck S, et al. Consensus statement for inert gas washout measurement using multiple- and single-breath tests. Eur Respir J. 2013;41(3):507–522. doi:10.1183/09031936.00069712
   PubMed Web of Science ®Google Scholar
• Farmery A. Interrogation of the Cardiopulmonary System with Inspired GasTension Sinusoids. University of London; 2008.
   Google Scholar
• Clifton L, Clifton DA, Hahn CEW, Farmery AD. Assessment of lung function using a non-invasive oscillating gas-forcing technique. Respir Physiol Neurobiol. 2013;189(1):174–182. doi:10.1016/j.resp.2013.05.015
   PubMed Web of Science ®Google Scholar
• Bruce RM, Phan PA, Pacpaco E, Rahman NM, Farmery AD. The inspired sine‐wave technique: a novel method to measure lung volume and ventilatory heterogeneity. Exp Physiol. 2018;103:738–747. doi:10.1113/EP086867
   PubMed Web of Science ®Google Scholar
• Bruce RM, Crockett DC, Morgan A, et al. Noninvasive cardiac output monitoring in a porcine model using the inspired sinewave technique: a proof-of-concept study. Br J Anaesth. 2019;123(2):126–134. doi:10.1016/j.bja.2019.02.025
   PubMed Web of Science ®Google Scholar
• Jones PW, Harding G, Berry P, Wiklund I, Chen WH, Kline Leidy N. Development and first validation of the COPD assessment test. Eur Respir J. 2009;34(3):648–654. doi:10.1183/09031936.00102509
   PubMed Web of Science ®Google Scholar
• Mahler DA, Wells CK. Evaluation of clinical methods for rating dyspnea. Chest. 1988;93(3):580–586. doi:10.1378/chest.93.3.580
   PubMed Web of Science ®Google Scholar
• Doel T. Pulmonary Toolkit. Available from: https://github.com/tomdoel/pulmonarytoolkit. Accessed July 01, 2018.
   Google Scholar
• Phan PA, Hahn CEW, Farmery AD. A modification of the Bohr method to determine airways deadspace for non-uniform inspired gas tensions. Physiol Meas. 2017;38(7):N107–n117. doi:10.1088/1361-6579/aa70c0
   PubMed Web of Science ®Google Scholar
• Whiteley JP, Gavaghan DJ, Hahn CE. A tidal breathing model of the inert gas sinewave technique for inhomogeneous lungs. Respir Physiol. 2001;124(1):65–83. doi:10.1016/S0034-5687(00)00185-7
   PubMedGoogle Scholar
• Vogelmeier CF, Criner GJ, Martinez FJ, et al. Global strategy for the diagnosis, management, and prevention of chronic obstructive lung disease 2017 report. GOLD executive summary. Am J Respir Crit Care Med. 2017;195(5):557–582.
   PubMed Web of Science ®Google Scholar
• Verbanck S, Thompson BR, Schuermans D, et al. Ventilation heterogeneity in the acinar and conductive zones of the normal ageing lung. Thorax. 2012;67(9):789–795. doi:10.1136/thoraxjnl-2011-201484
   PubMed Web of Science ®Google Scholar
• Roberts CM, MacRae KD, Winning AJ, Adams L, Seed WA. Reference values and prediction equations for normal lung function in a non-smoking white urban population. Thorax. 1991;46(9):643–650. doi:10.1136/thx.46.9.643
   PubMed Web of Science ®Google Scholar
• Verbanck S, Schuermans D, Muylem AV, et al. Conductive and acinar lung-zone contributions to ventilation inhomogeneity in COPD. Am J Respir Crit Care Med. 1998;157(5):1573–1577. doi:10.1164/ajrccm.157.5.9710042
   PubMed Web of Science ®Google Scholar
• Graham BL, Brusasco V, Burgos F, et al. 2017 ERS/ATS standards for single-breath carbon monoxide uptake in the lung. Eur Respir J. 2017;49(1). doi:10.1183/13993003.00016-2016.
   Web of Science ®Google Scholar
• O’Donnell DE, Laveneziana P. Physiology and consequences of lung hyperinflation in COPD. Eur Respir Rev. 2006;15(100):61–67. doi:10.1183/09059180.00010002
   Google Scholar
• Birring SS, Prudon B, Carr AJ, Singh SJ, Morgan MD, Pavord ID. Development of a symptom specific health status measure for patients with chronic cough: Leicester Cough Questionnaire (LCQ). Thorax. 2003;58(4):339–343. doi:10.1136/thorax.58.4.339
   PubMed Web of Science ®Google Scholar
• Birring SS, Fleming T, Matos S, Raj AA, Evans DH, Pavord ID. The Leicester cough monitor: preliminary validation of an automated cough detection system in chronic cough. Eur Respir J. 2008;31(5):1013–1018. doi:10.1183/09031936.00057407
   PubMed Web of Science ®Google Scholar
• Kim V, Criner GJ. Chronic bronchitis and chronic obstructive pulmonary disease. Am J Respir Crit Care Med. 2013;187(3):228–237. doi:10.1164/rccm.201210-1843CI
   PubMed Web of Science ®Google Scholar
• Gosselink JV, Hayashi S, Elliott WM, et al. Differential expression of tissue repair genes in the pathogenesis of chronic obstructive pulmonary disease. Am J Respir Crit Care Med. 2010;181(12):1329–1335. doi:10.1164/rccm.200812-1902OC
   PubMed Web of Science ®Google Scholar
• Celli BR, MacNee W, Agusti A, et al. Standards for the diagnosis and treatment of patients with COPD: a summary of the ATS/ERS position paper. Eur Respir J. 2004;23(6):932–946. doi:10.1183/09031936.04.00014304
   PubMed Web of Science ®Google Scholar
• Horsley A. Lung clearance index in the assessment of airways disease. Respir Med. 2009;103(6):793–799. doi:10.1016/j.rmed.2009.01.025
   PubMed Web of Science ®Google Scholar
• Qaseem A, Wilt TJ, Weinberger SE, et al. Diagnosis and management of stable chronic obstructive pulmonary disease: a clinical practice guideline update from the American College of Physicians, American College of Chest Physicians, American Thoracic Society, and European Respiratory Society. Ann Intern Med. 2011;155(3):179–191. doi:10.7326/0003-4819-155-3-201108020-00008
   PubMed Web of Science ®Google Scholar
• Macklem PT. Therapeutic implications of the pathophysiology of COPD. Eur Respir J. 2010;35:676–680. doi:10.1183/09031936.00120609
   PubMed Web of Science ®Google Scholar
• Bergin C, Müller N, Nichols DM, et al. The diagnosis of emphysema. Am Rev Respir Dis. 1986;133(4):541–546.
   PubMedGoogle Scholar
• Zulueta JJ, Wisnivesky JP, Henschke CI, et al. Emphysema scores predict death from COPD and lung cancer. Chest. 2012;141(5):1216–1223. doi:10.1378/chest.11-0101
   PubMed Web of Science ®Google Scholar
• Verbanck S, Schuermans D, Meysman M, Paiva M, Vincken W. Noninvasive assessment of airway alterations in smokers: the small airways revisited. Am J Respir Crit Care Med. 2004;170(4):414–419. doi:10.1164/rccm.200401-037OC
   PubMed Web of Science ®Google Scholar
• Vestbo J, Lange P. Can GOLD Stage 0 provide information of prognostic value in chronic obstructive pulmonary disease? Am J Respir Crit Care Med. 2002;166(3):329–332. doi:10.1164/rccm.2112048
   PubMed Web of Science ®Google Scholar
• Boeck L, Gensmer A, Nyilas S, et al. Single-breath washout tests to assess small airway disease in COPD. Chest. 2016;150(5):1091–1100. doi:10.1016/j.chest.2016.05.019
   PubMed Web of Science ®Google Scholar
• Bell AS, Lawrence PJ, Singh D, Horsley A. Feasibility and challenges of using multiple breath washout in COPD. Int J Chron Obstruct Pulmon Dis. 2018;13:2113–2119. doi:10.2147/COPD.S164285
   PubMed Web of Science ®Google Scholar
• Verbanck S, Schuermans D, Van muylem A, Paiva M, Noppen M, Vincken W. Ventilation distribution during histamine provocation. J Appl Physiol. 1997;83(6):1907–1916. doi:10.1152/jappl.1997.83.6.1907
   PubMed Web of Science ®Google Scholar
• Nguyen V. Bayesian optimization for accelerating hyper-parameter tuning. Paper presented at: 2019 IEEE Second International Conference on Artificial Intelligence and Knowledge Engineering (AIKE); June 3–5, 2019.
   Google Scholar
• Harrison C. Methods for Determining Lung Function from Tracer Gas Concentrations. University of Oxford; 2016.
   Google Scholar
• Mountain JE, Santer P, O’Neill DP, et al. Potential for noninvasive assessment of lung inhomogeneity using highly precise, highly time-resolved measurements of gas exchange. J Appl Physiol. 2018;124(3):615–631. doi:10.1152/japplphysiol.00745.2017
   PubMed Web of Science ®Google Scholar
• Tran M, Crockett D, Phan PA, Payne S, Farmery A A tidal lung simulation to quantify lung heterogeneity with the Inspired Sinewave test. 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society; 2020.
   Google Scholar
• Quanjer PH, Tammeling GJ, Cotes JE, Pedersen OF, Peslin R, Yernault J-C. Lung volumes and forced ventilatory flows. Eur Respir J. 1993;6(Suppl 16):5–40. doi:10.1183/09041950.005s1693
   PubMed Web of Science ®Google Scholar
• Quanjer PH, Stanojevic S, Cole TJ, et al. Multi-ethnic reference values for spirometry for the 3–95 year age range: the global lung function 2012 equations. Eur Respir J. 2012;40:1324–1343. doi:10.1183/09031936.00080312
   PubMed Web of Science ®Google Scholar