Abstract
Although many different reference values for spirometry are available from various studies, the elderly are usually underrepresented. Therefore, our objective was to assess reference values in a sample of healthy participants from a prospective population-based cohort study, including a large proportion of elderly. We included spirometry measurements of healthy, never smokers, from the Rotterdam Study and excluded participants with respiratory symptoms or prescriptions for respiratory medication. Age- and height-specific curves for the 5th (lower limit of normal) and the 50th (median) percentile of Forced Expiratory Volume in 1 s (FEV1), Forced Vital Capacity (FVC), and the ratio (FEV1/FVC) were calculated by quantile regression models. The group of healthy elderly study subjects consisted of 1,125 individuals, with a mean age of 68 years, ranging from 47 to 96 years of age. Sex stratified equations for the median and the lower limit of normal were calculated adjusted for age and height. In this study, we report age- and height-dependent reference limits for FEV1, FVC, and FEV1/FVC in a large population, and prediction equations for the lower limit of normal and median values for a sample containing a large proportion of healthy elderly.
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References
From the Global Strategy for the Diagnosis, Management and Prevention of COPD, Global Initiative for Chronic Obstructive Lung Disease (GOLD) www.goldcopd.org. [cited Accessed December 2010]; Available from: http://www.goldcopd.org.
Celli BR, MacNee W. ATS/ERS Task Force. Standards for the diagnosis and treatment of patients with COPD: a summary of the ATS/ERS position paper. Eur Respir J. 2004;23(6):932–46.
British Thoracic Society guidelines for the management of chronic obstructive pulmonary disease. The COPD Guidelines Group of the Standards of Care Committee of the British Thoracic Society. Thorax. 1997;52 Suppl 5(5):S1–28.
Crapo RO. Pulmonary-function testing. N Engl J Med. 1994;331(1):25–30.
Hole DJ, Watt GC, Davey-Smith G, Hart CL, Gillis CR, Hawthorne VM. Impaired lung function and mortality risk in men and women: findings from the Renfrew and Paisley prospective population study. BMJ. 1996;313(7059):711–5. (discussion 5–6).
Schunemann HJ, Dorn J, Grant BJ, Winkelstein W Jr, Trevisan M. Pulmonary function is a long-term predictor of mortality in the general population: 29-year follow-up of the Buffalo Health Study. Chest. 2000;118(3):656–64.
Fletcher C, Peto R. The natural history of chronic airflow obstruction. Br Med J. 1977;1(6077):1645–8.
DeMeo DL, Silverman EK. Genetics of chronic obstructive pulmonary disease. Semin Respir Crit Care Med. 2003;24(2):151–60.
Hancock DB, Eijgelsheim M, Wilk JB, Gharib SA, Loehr LR, Marciante KD, et al. Meta-analyses of genome-wide association studies identify multiple loci associated with pulmonary function. Nat Genet. 2010;42(1):45–52.
Repapi E, Sayers I, Wain LV, Burton PR, Johnson T, Obeidat M, et al. Genome-wide association study identifies five loci associated with lung function. Nat Genet. 2010;42(1):36–44.
Soler Artigas M, Loth DW, Wain LV, Gharib SA, Obeidat M, Tang W, et al. Genome-wide association and large-scale follow up identifies 16 new loci influencing lung function. Nat Genet. 2011;43(11):1082–90.
da Silva LF, Saldiva SR, Saldiva PH, Dolhnikoff M, Bandeira Cientifica P. Impaired lung function in individuals chronically exposed to biomass combustion. Environ Res. 2012;112:111–7.
Quanjer PH, Borsboom GJ, Kivastik J, Merkus PJ, Hankinson JL, Houthuijs D, et al. Cross-sectional and longitudinal spirometry in children and adolescents: interpretative strategies. Am J Respir Crit Care Med. 2008;178(12):1262–70.
Stanojevic S, Wade A, Stocks J, Hankinson J, Coates AL, Pan H, et al. Reference ranges for spirometry across all ages: a new approach. Am J Respir Crit Care Med. 2008;177(3):253–60.
Hankinson JL, Odencrantz JR, Fedan KB. Spirometric reference values from a sample of the general US population. Am J Respir Crit Care Med. 1999;159(1):179–87.
Kuster SP, Kuster D, Schindler C, Rochat MK, Braun J, Held L, et al. Reference equations for lung function screening of healthy never-smoking adults aged 18–80 years. Eur Respir J. 2008;31(4):860–8.
Pellegrino R, Viegi G, Brusasco V, Crapo RO, Burgos F, Casaburi R, et al. Interpretative strategies for lung function tests. Eur Respir J. 2005;26(5):948–68.
Stanojevic S, Wade A, Stocks J. Reference values for lung function: past, present and future. Eur Respir J. 2010;36(1):12–9.
Koch B, Schaper C, Ewert R, Volzke H, Obst A, Friedrich N, et al. Lung function reference values in different German populations. Respir Med. 2011;105(3):352–62.
http://lungfunction.org/publishedreferencevalues.html. 2012 [cited 2012 january 6].
Quanjer PH, Stanojevic S, Cole TJ, Baur X, Hall GL, Culver BH, 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(6):1324–43.
Quanjer PH, Hall GL, Stanojevic S, Cole TJ, Stocks J. on behalf of the Global Lungs I. Age- and height-based prediction bias in spirometry reference equations. Eur Respir J. 2011.
Hofman A, Grobbee DE, de Jong PT, van den Ouweland FA. Determinants of disease and disability in the elderly: the Rotterdam Elderly Study. Eur J Epidemiol. 1991;7(4):403–22.
Hofman A, van Duijn CM, Franco OH, Ikram MA, Janssen HL, Klaver CC, et al. The Rotterdam Study: 2012 objectives and design update. Eur J Epidemiol. 2011;26(8):657–86.
van Durme YM, Verhamme KM, Stijnen T, van Rooij FJ, Van Pottelberge GR, Hofman A, et al. Prevalence, incidence, and lifetime risk for the development of COPD in the elderly: the Rotterdam study. Chest. 2009;135(2):368–77.
Miller MR, Hankinson J, Brusasco V, Burgos F, Casaburi R, Coates A, et al. Standardisation of spirometry. Eur Respir J. 2005;26(2):319–38.
Koenker R, editor. Quantile regression: Econometric Society Monograph Serie. Cambridge: Cambridge University Press; 2005.
Miller MR, Pincock AC. Predicted values: how should we use them? Thorax. 1988;43(4):265–7.
Royston P, Sauerbrei W. Multivariable model—building: a pragmatic approach to regression analysis based on fractional polynomials for modelling continuous variables. New York: Wiley; 2008.
Acknowledgments
Study Design: A.H. Data collection: A.H., D.L, L.L., G.G.B and B.H.S. Data-analysis and writing: D.W.L, T.I., B.H.S and G.G.B. Critical Review: G.G.B., T.I., L.L, A.H., H.G.M.L. and B.H.S. D.W.L and B.H.S. take responsibility for the integrity of this work. The Rotterdam Study is funded by Erasmus Medical Center and Erasmus University, Rotterdam, Netherlands Organization for the Health Research and Development (ZonMw), the Research Institute for Diseases in the Elderly (RIDE), the Ministry of Education, Culture and Science, the Ministry for Health, Welfare and Sports, the European Commission (DG XII) and the Municipality of Rotterdam. The authors are grateful to the study participants, the staff from the Rotterdam Study and the participating general practitioners. Lies Lahousse is the recipient of a European Respiratory Society Fellowship (STRTF fellowship n° 131-2011).
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10654_2013_9800_MOESM1_ESM.pdf
This figure shows the result of the equations for FEV1 from our study compared to those from the study by Hankinson and the ECCS/ERS equations. These graphs show the values for the age range of 60 to 90 years and heights of 160, 170, 180 and 190 cm for males. For Hankinson’s and our equation, we present both the predicted values and the lower limit or normal (PDF 45 kb)
10654_2013_9800_MOESM2_ESM.pdf
This figure shows the result of the equations for FEV1 from our study compared to those from the study by Hankinson and the ECCS/ERS equations. These graphs show the values for the age range of 60 to 90 years and heights of 150, 160, 170 and 180 cm for females. For Hankinson’s and our equation, we present both the predicted values and the lower limit or normal (PDF 44 kb)
10654_2013_9800_MOESM3_ESM.pdf
This figure shows the result of the equations for FVC from our study compared to those from the study by Hankinson and the ECCS/ERS equations. These graphs show the values for the age range of 60 to 90 years and heights of 160, 170, 180 and 190 cm for males. For Hankinson’s and our equation, we present both the predicted values and the lower limit or normal (PDF 44 kb)
10654_2013_9800_MOESM4_ESM.pdf
This figure shows the result of the equations for FVC from our study compared to those from the study by Hankinson and the ECCS/ERS equations. These graphs show the values for the age range of 60 to 90 years and heights of 150, 160, 170 and 180 cm for females. For Hankinson’s and our equation, we present both the predicted values and the lower limit or normal (PDF 44 kb)
10654_2013_9800_MOESM5_ESM.pdf
This figure shows the result of the equations for FEV1/FVC from our study compared to those from the study by Hankinson and the ECCS/ERS equations. These graphs show the values for the age range of 60 to 90 years and heights of 175 cm for males and 165 cm females. For Hankinson’s and our equation, we present both the predicted values and the lower limit or normal (PDF 31 kb)
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Loth, D.W., Ittermann, T., Lahousse, L. et al. Normal spirometry values in healthy elderly: the Rotterdam Study. Eur J Epidemiol 28, 329–334 (2013). https://doi.org/10.1007/s10654-013-9800-4
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DOI: https://doi.org/10.1007/s10654-013-9800-4