Literature DB >> 8933890

Value of the peak expiratory flow in bronchodynamic tests.

J M Pino1, F García-Río, C Prados, R Alvarez-Sala, S Díaz, C Villasante, J Villamor.   

Abstract

OBJECTIVE: To determine the accuracy of the peak expiratory flow (PEF) as an alternative parameter to the forced expiratory volume at first second (FEV1) in the bronchodynamic tests.
METHODOLOGY: We studied 84 patients, 53 males and 31 females, with average age 46 +/- 13 years, as clinic suspects of bronchial asthma. PEF was determined with a "mini-Wright peak flow meter" and a spirometry was obtained. Based on the results, 44 subjects were classified under group 1 (FEV1/FVC < 70% and FEV1 < 80% of theoretic value) and subjected to a bronchodilator test. While in group 2 subjects (normal spirometry), a methacholine challenge was performed. During each procedure, PEF readings were obtained before FEV1 determination. The usefulness of the PEF for the diagnosis of reversibility or bronchial obstruction with respect to the FEV1 was assessed in both groups.
RESULTS: In the bronchodilator tests, a cut-off point was found for the increase in the PEF > 18%, which showed a sensitivity of 85%, specificity of 79%, positive predictive value of 77% and negative predictive value of 86%, with respect to an increase in the FEV1 > 15%. In the methacholine challenge, a decrease in the PEF > 12% only achieved a sensitivity of 74% and specificity of 71%.
CONCLUSION: Peak expiratory flow may be an useful parameter in bronchodilator tests. However, it should not be used in methacholine challenge.

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Year:  1996        PMID: 8933890

Source DB:  PubMed          Journal:  Allergol Immunopathol (Madr)        ISSN: 0301-0546            Impact factor:   1.667


  2 in total

1.  Guidelines for diagnosis and management of bronchial asthma: Joint ICS/NCCP (I) recommendations.

Authors:  Ritesh Agarwal; Sahajal Dhooria; Ashutosh Nath Aggarwal; Venkata N Maturu; Inderpaul S Sehgal; Valliappan Muthu; Kuruswamy T Prasad; Lakshmikant B Yenge; Navneet Singh; Digambar Behera; Surinder K Jindal; Dheeraj Gupta; Thanagakunam Balamugesh; Ashish Bhalla; Dhruva Chaudhry; Sunil K Chhabra; Ramesh Chokhani; Vishal Chopra; Devendra S Dadhwal; George D'Souza; Mandeep Garg; Shailendra N Gaur; Bharat Gopal; Aloke G Ghoshal; Randeep Guleria; Krishna B Gupta; Indranil Haldar; Sanjay Jain; Nirmal K Jain; Vikram K Jain; Ashok K Janmeja; Surya Kant; Surender Kashyap; Gopi C Khilnani; Jai Kishan; Raj Kumar; Parvaiz A Koul; Ashok Mahashur; Amit K Mandal; Samir Malhotra; Sabir Mohammed; Prasanta R Mohapatra; Dharmesh Patel; Rajendra Prasad; Pallab Ray; Jai K Samaria; Potsangbam Sarat Singh; Honey Sawhney; Nusrat Shafiq; Navneet Sharma; Updesh Pal S Sidhu; Rupak Singla; Jagdish C Suri; Deepak Talwar; Subhash Varma
Journal:  Lung India       Date:  2015-04

2.  Logistic regression model for prediction of airway reversibility using peak expiratory flow.

Authors:  Javad Shakeri; Omalbanin Paknejad; Keivan Gohari Moghadam; Maryam Taherzadeh
Journal:  Tanaffos       Date:  2012
  2 in total

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