Literature DB >> 15886404

Lung function--clinical importance, problems, and new results.

W T Ulmer1.   

Abstract

This review tackles the usefulness of spirometry, a more than century old method of assessing pulmonary lung function. Variables measured with a spirometer, such as forced expiratory volume in 1 s, have long been the mainstays of the diagnosis and treatment of lung disorders. But there are problems with the reliability of spirometric measurements. The method depends on the cooperation of the investigated subject, which introduces a confounding subjective element and all too often results in test failure, and the results are evaluated against the predicted values that are based on a set of fixed factors, some of which, such as body height, are not in a straight proportion to the intrathoracic gas volume. Substantial spread of results arises, which makes a reliable assessment of lung function difficult. New methods, such as the resistance-volume curve, provide better information on airway behavior in different conditions. These new methods, which basically evolved from spirometry, show that the old idea of lung function analysis is still viable and may remain helpful for diagnosis and treatment of respiratory pathological states.

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Year:  2003        PMID: 15886404

Source DB:  PubMed          Journal:  J Physiol Pharmacol        ISSN: 0867-5910            Impact factor:   3.011


  5 in total

1.  Evaluation of flow-volume spirometric test using neural network based prediction and principal component analysis.

Authors:  Anandan Kavitha; Manoharan Sujatha; Swaminathan Ramakrishnan
Journal:  J Med Syst       Date:  2009-08-05       Impact factor: 4.460

2.  Detection of obstructive respiratory abnormality using flow-volume spirometry and radial basis function neural networks.

Authors:  Mahesh Veezhinathan; Swaminathan Ramakrishnan
Journal:  J Med Syst       Date:  2007-12       Impact factor: 4.460

3.  Prediction of forced expiratory volume in pulmonary function test using radial basis neural networks and k-means clustering.

Authors:  Sujatha C Manoharan; Swaminathan Ramakrishnan
Journal:  J Med Syst       Date:  2009-10       Impact factor: 4.460

4.  A tribute to Professor Wolfgang Traugott Ulmer.

Authors:  Janusz Kowalski
Journal:  Eur J Med Res       Date:  2010-11-04       Impact factor: 2.175

5.  Prediction of gold stage in patients hospitalized with COPD exacerbations using blood neutrophils and demographic parameters as risk factors.

Authors:  Jing Chen; Zhao Yang; Qun Yuan; Li-Quan Guo; Da-Xi Xiong
Journal:  BMC Pulm Med       Date:  2021-10-21       Impact factor: 3.317

  5 in total

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