Literature DB >> 8325060

Diagnostic value of the bronchial provocation test with methacholine in asthma. A Bayesian analysis approach.

M Perpiñá1, C Pellicer, A de Diego, L Compte, V Macián.   

Abstract

The Bayesian analysis was used in this study to investigate the diagnostic value of the bronchial provocation test with methacholine in patients with asthma. The best cutoff value of accumulated concentration of methacholine administered that caused a 20 percent fall in FEV1 post-saline (PC20) in our sample, determined with a receiver operator characteristic curve, was 15 mg/ml. The interval security of the test was established by a pretest probability between 0.16 and 0.87 and the best test results were obtained when pretest probability was 0.48. The positive final diagnostic gain of the test was maximal at this pretest probability. We conclude that the application of Bayes' theorem, considering the pretest probability of asthma and the sensitivity and specificity of the individual PC20 obtained, increases the accuracy of the bronchial provocation test with methacholine in the diagnosis of asthma.

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Year:  1993        PMID: 8325060     DOI: 10.1378/chest.104.1.149

Source DB:  PubMed          Journal:  Chest        ISSN: 0012-3692            Impact factor:   9.410


  11 in total

1.  Bronchoprovocation testing.

Authors:  Chakravarthy Reddy
Journal:  Clin Rev Allergy Immunol       Date:  2009-03-17       Impact factor: 8.667

2.  Whole-Body Plethysmography in Suspected Asthma: A Prospective Study of Its Added Diagnostic Value in 302 Patients.

Authors:  Antonius Schneider; Johannes Schwarzbach; Bernhard Faderl; Hubert Hautmann; Rudolf A Jörres
Journal:  Dtsch Arztebl Int       Date:  2015-06-12       Impact factor: 5.594

3.  Different cutoff values of methacholine bronchial provocation test depending on age in children with asthma.

Authors:  Eun Lee; Young-Ho Kim; Seungbong Han; Song-I Yang; Young-Ho Jung; Ju-Hee Seo; Hyo-Bin Kim; So Yeon Lee; Ji-Won Kwon; Soo-Jong Hong
Journal:  World J Pediatr       Date:  2017-03-08       Impact factor: 2.764

4.  Diagnostic accuracy of spirometry in primary care.

Authors:  Antonius Schneider; Lena Gindner; Lisa Tilemann; Tjard Schermer; Geert-Jan Dinant; Franz Joachim Meyer; Joachim Szecsenyi
Journal:  BMC Pulm Med       Date:  2009-07-10       Impact factor: 3.317

5.  The role of measuring airway hyperresponsiveness and inflammatory biomarkers in asthma.

Authors:  Graeme P Currie; Tom C Fardon; Daniel Kc Lee
Journal:  Ther Clin Risk Manag       Date:  2005-06       Impact factor: 2.423

Review 6.  Elucidation of pathways driving asthma pathogenesis: development of a systems-level analytic strategy.

Authors:  Michael L Walker; Kathryn E Holt; Gary P Anderson; Shu Mei Teo; Peter D Sly; Patrick G Holt; Michael Inouye
Journal:  Front Immunol       Date:  2014-09-23       Impact factor: 7.561

7.  Comparison of Two Bayesian Methods in Evaluation of the Absence of the Gold Standard Diagnostic Tests.

Authors:  Taishun Li; Pei Liu
Journal:  Biomed Res Int       Date:  2019-08-21       Impact factor: 3.411

8.  Diagnosing asthma in general practice with portable exhaled nitric oxide measurement--results of a prospective diagnostic study: FENO < or = 16 ppb better than FENO < or =12 ppb to rule out mild and moderate to severe asthma [added].

Authors:  Antonius Schneider; Lisa Tilemann; Tjard Schermer; Lena Gindner; Gunter Laux; Joachim Szecsenyi; Franz Joachim Meyer
Journal:  Respir Res       Date:  2009-03-03

9.  The challenge of objective confirmation of asthma diagnosis in primary care.

Authors:  Jatin Kaicker; Wilfred Dang; Anthony D'Urzo
Journal:  NPJ Prim Care Respir Med       Date:  2014-07-24       Impact factor: 2.871

10.  Influence of the practice setting on diagnostic prediction rules using FENO measurement in combination with clinical signs and symptoms of asthma.

Authors:  Antonius Schneider; Gudrun Wagenpfeil; Rudolf A Jörres; Stefan Wagenpfeil
Journal:  BMJ Open       Date:  2015-11-24       Impact factor: 2.692

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