Literature DB >> 25064631

Prediction of pulmonary restriction from forced vital capacity in elderly is similar using GLI and ERS equations.

Noémie Bruel Tronchon1, Elodie Frappé, Stéphanie Chomette Ballereau, Jean Claude Barthélémy, Frédéric Costes.   

Abstract

INTRODUCTION: The prevalence of pulmonary restriction increases in the elderly and detection could be challenging due to the difficulty in measuring lung volumes in older patients. The recently published Global Lung Function Initiative (GLI) equations were found to predict better restriction in middle-aged patients compared to ERS'93 norms. However, the ability of the GLI equations to detect pulmonary restriction in older patients has not been investigated. PATIENTS AND METHODS: We extracted spirometric data in patients older than 85 years from the database of our pulmonary function testing laboratory. The population with pulmonary restriction was defined as those having a total lung capacity value (TLC) below the lower limit of normal (LLN) using ERS'93 equations. We then compared the ability of the ERS'93 and GLI equations to detect this when the forced vital capacity (FVC) was below the LLN.
RESULTS: We analyzed data from 285 patients. A true restrictive defect was found in 66 patients (23%). Sensitivity to detect a reduced TLC was higher when calculated from the GLI than the ERS'93 equations, (70 vs 45%). By contrast, specificity was lower (74 vs 89%, respectively); there was no difference in the negative predictive value (89 and 84%). Using receiver operating curves, both sets of equations performed similarly to detect spirometric restriction.
CONCLUSIONS: In conclusion, both sets of equations similarly predicted a pulmonary restriction in older subjects. The high negative predictive value of the GLI equations thus allows for static lung volume measurement to be avoided in older patients when the FCV exceeds the LLN whatever the predicted equation used.

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Year:  2014        PMID: 25064631     DOI: 10.1007/s00408-014-9627-0

Source DB:  PubMed          Journal:  Lung        ISSN: 0341-2040            Impact factor:   2.584


  17 in total

1.  How accurate is spirometry at predicting restrictive pulmonary impairment?

Authors:  S D Aaron; R E Dales; P Cardinal
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2.  Similarities and differences in asthma and COPD. The Dutch hypothesis.

Authors:  Eugene R Bleecker
Journal:  Chest       Date:  2004-08       Impact factor: 9.410

3.  Problems in the measurement of functional residual capacity.

Authors:  Simon J Broughton; Karl P Sylvester; Chloe M Page; Gerrard F Rafferty; Anthony D Milner; Anne Greenough
Journal:  Physiol Meas       Date:  2005-12-19       Impact factor: 2.833

4.  Reference equations for lung function screening of healthy never-smoking adults aged 18-80 years.

Authors:  S P Kuster; D Kuster; C Schindler; M K Rochat; J Braun; L Held; O Brändli
Journal:  Eur Respir J       Date:  2007-12-05       Impact factor: 16.671

5.  Spirometric reference values from a sample of the general U.S. population.

Authors:  J L Hankinson; J R Odencrantz; K B Fedan
Journal:  Am J Respir Crit Care Med       Date:  1999-01       Impact factor: 21.405

6.  Implications of adopting the Global Lungs Initiative 2012 all-age reference equations for spirometry.

Authors:  Philip H Quanjer; Danny J Brazzale; Piotr W Boros; Jeffrey J Pretto
Journal:  Eur Respir J       Date:  2013-03-21       Impact factor: 16.671

7.  Prevalence and correlates of respiratory symptoms and disease in the elderly. Cardiovascular Health Study.

Authors:  P L Enright; R A Kronmal; M W Higgins; M B Schenker; E F Haponik
Journal:  Chest       Date:  1994-09       Impact factor: 9.410

8.  Accuracy of spirometry in diagnosing pulmonary restriction in elderly people.

Authors:  Simone Scarlata; Claudio Pedone; Maria Elisabetta Conte; Raffaele Antonelli Incalzi
Journal:  J Am Geriatr Soc       Date:  2009-09-30       Impact factor: 5.562

Review 9.  Ageing populations: the challenges ahead.

Authors:  Kaare Christensen; Gabriele Doblhammer; Roland Rau; James W Vaupel
Journal:  Lancet       Date:  2009-10-03       Impact factor: 79.321

10.  A spirometry-based algorithm to direct lung function testing in the pulmonary function laboratory.

Authors:  Christine A Glady; Shawn D Aaron; Mary Lunau; Jennifer Clinch; Robert E Dales
Journal:  Chest       Date:  2003-06       Impact factor: 9.410

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