Comparison of predicted lung function values estimating height from alternative methods

J. N. Sancho, E. Chiner, A. Camarasa, C. Senent, E. Gómez-Merino, J. Marco (Alicante, Spain)

Source: Annual Congress 2008 - Beyond spirometry: the skills behind lung function testing
Session: Beyond spirometry: the skills behind lung function testing
Session type: Thematic Poster Session
Number: 2199
Disease area: Airway diseases

Congress or journal article abstract

Rating: 0
You must login to grade this presentation.

Share or cite this content

Citations should be made in the following way:
J. N. Sancho, E. Chiner, A. Camarasa, C. Senent, E. Gómez-Merino, J. Marco (Alicante, Spain). Comparison of predicted lung function values estimating height from alternative methods. Eur Respir J 2008; 32: Suppl. 52, 2199

You must login to share this Presentation/Article on Twitter, Facebook, LinkedIn or by email.

Member's Comments

No comment yet.
You must Login to comment this presentation.


Related content which might interest you:
Feasibility and reliability of ulna length measurements in calculating predicted lung function values in children
Source: Eur Respir J 2005; 26: Suppl. 49, 180s
Year: 2005

Comparison of regression models for developing spirometric reference values
Source: International Congress 2016 – Functional assessment of the airways
Year: 2016


Choosing and using lung function prediction equations
Source: Eur Respir J 2016; 48: 1535-1537
Year: 2016


Comparison of the equations developed in children with different body mass indexes with standardized reference equations
Source: Annual Congress 2007 - Paediatric respiratory physiology in health and disease
Year: 2007


Role of different spirometric reference equations for lung volumes assessment
Source: International Congress 2018 – New predictors of morbidity and mortality in COPD
Year: 2018




Multi-ethnic reference values for spirometry for the 3–95-yr age range: the global lung function 2012 equations
Source: Eur Respir J 2012; 40: 1324-1343
Year: 2012



Comparison of different measurement methods of gas diffusion in the lung
Source: Annual Congress 2012 - Pathophysiological mechanisms in disease: new insights
Year: 2012

Limitations of calculating “true” regression slope: impact on estimates of minimal important difference
Source: Eur Respir J 2011; 37: 1296-1297
Year: 2011


Variability of lung function parameters due to use of different spirometers
Source: Eur Respir J 2002; 20: Suppl. 38, 516s
Year: 2002

Predicting IPF outcomes: lung function evaluation by %predicted and z-score
Source: Virtual Congress 2021 – Biomarkers and e-health in idiopathic interstitial pneumonia
Year: 2021


Inter-laboratory variability in the measurement of lung function - contribution of volume calibration errors
Source: Eur Respir J 2004; 24: Suppl. 48, 183s
Year: 2004

The impact of different reference standards when estimating the accuracy of tests for diagnosing asthma
Source: International Congress 2018 – Primary care management of asthma
Year: 2018

The role of reference values in interpreting lung function tests
Source: Eur Respir J 2004; 24: 341-342
Year: 2004


Parameter estimation of pulmonary function tests (PFTs): Comparison of two body plethysmographs.
Source: International Congress 2019 – Quality, performance and interpretation of lung function testing
Year: 2019


Absolute values of the 6 minute walk distance are equally good to predict disease severity in pulmonary hypertension as percent predicted formulas
Source: Annual Congress 2009 - Pulmonary vascular diseases
Year: 2009

Comparison of different analysis algorithms to calculate multiple-breath washout outcomes
Source: ERJ Open Res, 4 (3) 00021-2017; 10.1183/23120541.00021-2017
Year: 2018



Comparison between measured lung function in a healthy elderly women sample and values from predicted equation for general adults
Source: Annual Congress 2010 - New diagnostic approaches in respiratory function
Year: 2010

How best to measure lung function in animals
Source: Annual Congress 2007 - PG11 - Translation of animal models to human airway disease
Year: 2007

Differences between % predicted and z-score. The impact on severity classification in spirometry.
Source: Virtual Congress 2020 – Quality improvements in lung function and sleep diagnostics
Year: 2020