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Interpretative strategies for lung function tests

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TLDR
This section is written to provide guidance in interpreting pulmonary function tests (PFTs) to medical directors of hospital-based laboratories that perform PFTs, and physicians who are responsible for interpreting the results of PFTS most commonly ordered for clinical purposes.
Abstract
SERIES “ATS/ERS TASK FORCE: STANDARDISATION OF LUNG FUNCTION TESTING” Edited by V. Brusasco, R. Crapo and G. Viegi Number 5 in this Series This section is written to provide guidance in interpreting pulmonary function tests (PFTs) to medical directors of hospital-based laboratories that perform PFTs, and physicians who are responsible for interpreting the results of PFTs most commonly ordered for clinical purposes. Specifically, this section addresses the interpretation of spirometry, bronchodilator response, carbon monoxide diffusing capacity ( D L,CO) and lung volumes. The sources of variation in lung function testing and technical aspects of spirometry, lung volume measurements and D L,CO measurement have been considered in other documents published in this series of Task Force reports 1–4 and in the American Thoracic Society (ATS) interpretative strategies document 5. An interpretation begins with a review and comment on test quality. Tests that are less than optimal may still contain useful information, but interpreters should identify the problems and the direction and magnitude of the potential errors. Omitting the quality review and relying only on numerical results for clinical decision making is a common mistake, which is more easily made by those who are dependent upon computer interpretations. Once quality has been assured, the next steps involve a series of comparisons 6 that include comparisons of test results with reference values based on healthy subjects 5, comparisons with known disease or abnormal physiological patterns ( i.e. obstruction and restriction), and comparisons with self, a rather formal term for evaluating change in an individual patient. A final step in the lung function report is to answer the clinical question that prompted the test. Poor choices made during these preparatory steps increase the risk of misclassification, i.e. a falsely negative or falsely positive interpretation for a lung function abnormality or a change …

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Standardisation of spirometry

TL;DR: This research presents a novel and scalable approach called “Standardation of LUNG FUNCTION TESTing” that combines “situational awareness” and “machine learning” to solve the challenge of integrating nanofiltration into the energy system.
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Multi-ethnic reference values for spirometry for the 3–95-yr age range: the global lung function 2012 equations

TL;DR: Spirometric prediction equations for the 3–95-age range are now available that include appropriate age-dependent lower limits of normal for spirometric indices, which can be applied globally to different ethnic groups.
References
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Short term variability of single breath carbon monoxide transfer factor

TL;DR: The quoted limits for variability in gas transfer over time are valid for a wide range of clinically relevant values and changes in Tco and Kco greater than these limits are unlikely to arise from natural variation.
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Effects of high temperature irradiation on SmCo permanent magnets

TL;DR: In this paper, the relative magnetic flux loss has been calculated with a model based on the local heating caused by the incoming particle, and the theoretical result agrees well with the experimental data.
Journal ArticleDOI

The effects of occupation and smoking on respiratory disease mortality.

TL;DR: Poor lung function and to some extent bronchitic symptoms in 1957 were predictive of mortality by 1977, regardless of smoking habits, however, the effect of symptoms in the absence of concomitant poor lung function, though consistent, was small.
Journal Article

False positive rates of multiple pulmonary function tests in healthy subjects.

TL;DR: Spirometry, diffusing capacity and lung volume tests were performed on 251 healthy, nonsmoking volunteers in order to determine the rate of false positive results of multiple pulmonary function tests.
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