help button home button
AJRCCM
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS

Published ahead of print on October 17, 2008, doi:10.1164/rccm.200805-700OC
This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Online Supplement
Right arrow All Versions of this Article:
200805-700OCv1
178/12/1262    most recent
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Quanjer, P. H.
Right arrow Articles by Kühr, J.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Quanjer, P. H.
Right arrow Articles by Kühr, J.
American Journal of Respiratory and Critical Care Medicine Vol 178. pp. 1262-1270, (2008)
© 2008 American Thoracic Society
doi: 10.1164/rccm.200805-700OC


Original Article

Cross-sectional and Longitudinal Spirometry in Children and Adolescents

Interpretative Strategies

Philip H. Quanjer1, Gerard J. J. M. Borsboom2, Jana Kivastik3, Peter J. F. M. Merkus4, John L. Hankinson5, Danny Houthuijs6, Bert Brunekreef7, Gabriele Ihorst8 and Joachim Kühr9

1 Sophia Children's Hospital, 2 Department of Public Health, Erasmus MC, University Medical Centre Rotterdam, The Netherlands; 3 Department of Physiology, University of Tartu, Estonia; 4 Department of Pediatrics, Division of Respiratory Medicine, Radboud University Medical Centre, Nijmegen, The Netherlands; 5 Hankinson Consulting, Valdosta, Georgia; 6 Centre for Environmental Health Research, National Institute for Public Health and the Environment, Bilthoven, The Netherlands; 7 Institute for Risk Assessment Sciences, Utrecht University and Julius Center for Health Sciences and Primary Care, University Medical Center, Utrecht, The Netherlands; 8 Biometry and Data Management, ZKS (CCT—Center of Clinical Trials), University Medical Center, Freiburg, Germany; and 9 Klinik für Kinder-und Jugendmedizin, Zentrum für Kinder und Frauen Kinderklinik Städtisches Klinikum Karlsruhe, Germany

Correspondence and requests for reprints should be addressed to Philip Quanjer, M.D., Ph.D., Kervel 19, 7443 GT Nijverdal, The Netherlands. E-mail: pquanjer{at}xs4all.nl

Rationale: Single and serial spirometric data are commonly compared with predicted values to assess pulmonary function and normal lung growth.

Objectives: Do reference equations adequately describe pulmonary function in a population and in growing individuals?

Methods: We applied five sets of reference equations with appropriate age ranges to cross-sectional data of FEV1, FVC, and FEV1/FVC from the United States, Estonia, and The Netherlands (1,487 boys and 1,340 girls, 6 to 18 years of age), and to serial measurements in Dutch (430 girls and 769 boys, 6 to 19 years of age) and in German and Austrian children (1,305 girls and 1,303 boys, 6 to 13 years of age).

Measurements and Main Results: Compared with reference equations from Polgar and Zapletal, cross-sectional FEV1 and FVC declined between the ages of 6 and 12 and then increased, leading to a spurious change of up to 25% predicted; this pattern was most pronounced in boys. In cross-sectional data this trend was much weaker when using reference equations from Hankinson, Quanjer, and Stanojevic, and these equations provided a good fit from the age of 12 upward. In longitudinal data (i.e., within individuals), the trend was more pronounced for FEV1 in boys than in girls. No set of equations provided a satisfactory fit in the lower limits of normal, but Hankinson and Stanojevic equations performed best.

Conclusions: Spirometric reference equations that use only height for predicting pulmonary function are unsuitable for describing the progression of pulmonary function. Those that incorporate height and age demonstrate some discrepancy with longitudinal data. Failure to take these spurious trends into account leads to significant errors in estimating the natural course of respiratory disease, in allocating patients to treatment groups, or in assessing long-term effects of drug intervention in school children and adolescents.

Key Words: spirometry • reference values • cross-sectional studies • longitudinal studies • growth


AT A GLANCE COMMENTARY

Scientific Knowledge on the Subject
Spirometry is pivotal in assessing airways obstruction and in monitoring disease and lung development. Measurements are commonly compared to predicted values, which may not fit an average child's growth pattern.

What This Study Adds to the Field
Adding age greatly improves the fit of pulmonary function in children to cross-sectional and longitudinal data compared to predicting pulmonary function from height alone.

 



This article has been cited by other articles:


Home page
Am. J. Respir. Crit. Care Med.Home page
J. E. MacLean, H. Grasemann, and P. Subbarao
Changes in Lung Function in Children with Sickle Cell Disease
Am. J. Respir. Crit. Care Med., August 15, 2009; 180(4): 377 - 378.
[Full Text] [PDF]


Home page
Am. J. Respir. Crit. Care Med.Home page
R. Kohansal, P. Martinez-Camblor, A. Agusti, A. S. Buist, D. M. Mannino, and J. B. Soriano
The Natural History of Chronic Airflow Obstruction Revisited: An Analysis of the Framingham Offspring Cohort
Am. J. Respir. Crit. Care Med., July 1, 2009; 180(1): 3 - 10.
[Abstract] [Full Text] [PDF]


Home page
Am. J. Respir. Crit. Care Med.Home page
A. Bush
Update in Pediatric Lung Disease 2008
Am. J. Respir. Crit. Care Med., April 15, 2009; 179(8): 637 - 649.
[Full Text] [PDF]




HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Proc. Am. Thorac. Soc. Am. J. Respir. Cell Mol. Biol.
Copyright © 2008 American Thoracic Society
  Tobacco