Literature DB >> 14621232

Interpreting pulmonary function tests: recognize the pattern, and the diagnosis will follow.

Feyrouz Al-Ashkar1, Reena Mehra, Peter J Mazzone.   

Abstract

When interpreting pulmonary function tests, one should first try to determine the pattern of abnormality: is it obstructive, restrictive, or normal? Pulmonary function tests cannot by themselves distinguish among the potential causes of abnormalities, and must be interpreted in light of the patient's history, physical examination, and ancillary studies. Once a pattern is recognized, the diagnosis will often follow.

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Year:  2003        PMID: 14621232     DOI: 10.3949/ccjm.70.10.866

Source DB:  PubMed          Journal:  Cleve Clin J Med        ISSN: 0891-1150            Impact factor:   2.321


  12 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.  [Quality of spirometry tests done in primary care units in the province of Gipuzkoa].

Authors:  José Manuel Martínez Eizaguirre; María Isabel Irizar Aranburu; Cristina Estirado Vera; Iñaki Berraondo Zabalegui; Ricardo San Vicente Blanco; Elisa Aguirre Canflanca
Journal:  Aten Primaria       Date:  2008-05       Impact factor: 1.137

4.  Relationship between airflow obstruction and coronary atherosclerosis in asymptomatic individuals: evaluation by coronary CT angiography.

Authors:  Jin-Jin Kim; Dong-Bin Kim; Sung-Won Jang; Eun Joo Cho; Kiyuk Chang; Sang Hong Baek; Ho-Joong Youn; Wook Sung Chung; Ki-Bae Seung; Tai-Ho Rho; Jung Im Jung; Byung-Hee Hwang
Journal:  Int J Cardiovasc Imaging       Date:  2017-11-14       Impact factor: 2.357

Review 5.  Noninvasive effects measurements for air pollution human studies: methods, analysis, and implications.

Authors:  Jaime Mirowsky; Terry Gordon
Journal:  J Expo Sci Environ Epidemiol       Date:  2015-01-21       Impact factor: 5.563

6.  Co-morbidities among silicotics at Shakarpur: A follow up study.

Authors:  Nayanjeet Chaudhury; Rajiv Paliwal; Ajay Phatak
Journal:  Lung India       Date:  2012-01

7.  Spirometry values for detecting a restrictive pattern in occupational health settings.

Authors:  Amir Houshang Mehrparvar; Mohammad Javad Zare Sakhvidi; Mehrdad Mostaghaci; Mohmmad Hossein Davari; Seyed Hesam Hashemi; Zohreh Zare
Journal:  Tanaffos       Date:  2014

8.  The feasibility of CT lung volume as a surrogate marker of donor-recipient size matching in lung transplantation.

Authors:  Woo Sang Jung; Seokjin Haam; Jae Min Shin; Kyunghwa Han; Chul Hwan Park; Min Kwang Byun; Yoon Soo Chang; Hyung Jung Kim; Tae Hoon Kim
Journal:  Medicine (Baltimore)       Date:  2016-07       Impact factor: 1.889

9.  The repeatability of computed tomography lung volume measurements: Comparisons in healthy subjects, patients with obstructive lung disease, and patients with restrictive lung disease.

Authors:  Jae Min Shin; Tae Hoon Kim; Seokjin Haam; Kyunghwa Han; Min Kwang Byun; Yoon Soo Chang; Hyung Jung Kim; Chul Hwan Park
Journal:  PLoS One       Date:  2017-08-10       Impact factor: 3.240

10.  Comparison of Predicted Total Lung Capacity and Total Lung Capacity by Computed Tomography in Lung Transplantation Candidates.

Authors:  Sung Ho Hwang; Jin Gu Lee; Tae Hoon Kim; Hyo Chae Paik; Chul Hwan Park; Seokjin Haam
Journal:  Yonsei Med J       Date:  2016-07       Impact factor: 2.759

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