Literature DB >> 29043487

The Differences in Spirometry Predictive Equations in Classifying Presence and Degree of Lung Function Impairment: Which Suit Fits the Best?

Marija Vukoja1,2, Aleksandar Bokan3,4, Gordana Vujasinovic4,5, Ivan Kopitovic3,4.   

Abstract

PURPOSE: The aim of this study was to compare the differences between three most commonly used predictive equations (PE): ECCS (European Community of Coal and Steel), the third National Health and Nutrition Examination Survey (NHANES III), and GLI (Global Lung Initiative) in healthy individuals and when grading severity of lung function impairment in patients with obstructive lung diseases.
METHODS: The study included 200 healthy volunteers and 200 patients with obstructive lung diseases at the Institute for Pulmonary Diseases of Vojvodina. In all subjects, we calculated the absolute and relative (percent) predicted values using ECCS, NHANES III, and GLI reference equations.
RESULTS: The mean differences between ECCS and NHANES III predicted values were 5.63% (95% CI  5.29-5.98%, p < 0.001) for FEV1 and 10% (95% CI 9.52-10.79%, p < 0.001) for FVC. Similar differences were observed between ECCS and GLI predicted values. There were minimal differences between NHANES III and GLI predictive values. In healthy subjects, the mean absolute difference between measured FEV1 and FEV1 ECCS predicted was 0.36l (95% CI 0.32l, 0.40l, p < 0.001), FEV1 NHANES predicted was 0.30 l (95% CI 0.27-0.35l, p < 0.001), and FEV1 GLI predicted was 0.31l (95% CI 0.27- 0.35l, p < 0.001). The use of three different PE leads to significant differences in classification of obstruction severity in both asthma and COPD patients.
CONCLUSIONS: There were significant differences between FEV1 and FVC predicted when using different PE. The absolute difference between actual and predicted FEV1 in healthy individuals was highest when using ECCS. The use of different PE may change the interpretation of severity of airway obstruction.

Entities:  

Keywords:  Asthma; COPD; Lung function tests; Spirometry

Mesh:

Year:  2017        PMID: 29043487     DOI: 10.1007/s00408-017-0065-7

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


  13 in total

1.  Standardisation of spirometry.

Authors:  M R Miller; J Hankinson; V Brusasco; F Burgos; R Casaburi; A Coates; R Crapo; P Enright; C P M van der Grinten; P Gustafsson; R Jensen; D C Johnson; N MacIntyre; R McKay; D Navajas; O F Pedersen; R Pellegrino; G Viegi; J Wanger
Journal:  Eur Respir J       Date:  2005-08       Impact factor: 16.671

2.  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

3.  Applicability of the global lung function spirometry equations in contemporary multiethnic children.

Authors:  Rachel Bonner; Sooky Lum; Janet Stocks; Jane Kirkby; Angie Wade; Samatha Sonnappa
Journal:  Am J Respir Crit Care Med       Date:  2013-08-15       Impact factor: 21.405

4.  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

5.  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

6.  Interpretative consequences of adopting the Global Lungs 2012 reference equations for spirometry for children and adolescents.

Authors:  Philip H Quanjer; Daniel J Weiner
Journal:  Pediatr Pulmonol       Date:  2013-09-20

7.  Reference values for lung function: past, present and future.

Authors:  S Stanojevic; A Wade; J Stocks
Journal:  Eur Respir J       Date:  2010-07       Impact factor: 16.671

8.  Comparison of NHANES III and ERS/GLI 12 for airway obstruction classification and severity.

Authors:  Olinto Linares-Perdomo; Matthew Hegewald; Dave S Collingridge; Denitza Blagev; Robert L Jensen; John Hankinson; Alan H Morris
Journal:  Eur Respir J       Date:  2016-06-10       Impact factor: 16.671

9.  Lung function in our aging population.

Authors:  Wolfgang Marek; E M Marek; K Mückenhoff; H-J Smith; N Kotschy-Lang; M Kohlhäufl
Journal:  Eur J Med Res       Date:  2011-03-28       Impact factor: 2.175

10.  Effect of change of reference standard to NHANES III on interpretation of spirometric 'abnormality'.

Authors:  Akshay Sood; Beth K Dawson; Joseph Q Henkle; Patricia Hopkins-Price; Clifford Quails
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2007
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  2 in total

1.  Metabolic Dysfunction-associated Fatty Liver Disease is Associated with Greater Impairment of Lung Function than Nonalcoholic Fatty Liver Disease.

Authors:  Lei Miao; Li Yang; Li-Sha Guo; Qiang-Qiang Shi; Teng-Fei Zhou; Yang Chen; Huai Zhang; Hui Cai; Zhi-Wei Xu; Shuan-Ying Yang; Hai Lin; Zhe Cheng; Ming-Yang Zhu; Xu Nan; Shuai Huang; Ya-Wen Zheng; Giovanni Targher; Christopher D Byrne; Yu-Ping Li; Ming-Hua Zheng; Cheng-Shui Chen
Journal:  J Clin Transl Hepatol       Date:  2022-01-04

Review 2.  Diagnosis and management of chronic obstructive pulmonary disease in Serbia: an expert group position statement.

Authors:  Marija Vukoja; Ivan Kopitovic; Zorica Lazic; Branislava Milenkovic; Ivana Stankovic; Biljana Zvezdin; Aleksandra Dudvarski Ilic; Ivan Cekerevac; Miodrag Vukcevic; Vladimir Zugic; Sanja Hromis
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2019-09-02
  2 in total

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