Literature DB >> 10658562

Development of an expert system for the interpretation of serial peak expiratory flow measurements in the diagnosis of occupational asthma. Midlands Thoracic Society Research Group.

P S Burge1, C F Pantin, D T Newton, P F Gannon, P Bright, J Belcher, J McCoach, D R Baldwin, C B Burge.   

Abstract

If asthma is due to work exposures there must be a relation between these exposures and the asthma. Asthma causes airway hyperresponsiveness and obstruction; the obstruction can be measured with portable meters, which usually measure peak expiratory flow, or sometimes forced expiratory volume in 1 second (FEV1). These can be measured serially (for instance 2 hourly) over several weeks at and away from work. Once occupational asthma develops, the asthma will be induced by many non-specific triggers common to non-occupational asthma. The challenge is to identify changes in peak expiratory flow due to work among other non-occupational causes. Standard statistical tests have been found to be insensitive or non-specific, principally because of the variable period for deterioration to occur after exposure, and the sometimes prolonged time for recovery to occur, such that days away from work may initially have lower measurements than days at work. A computer assisted diagnostic aid (Oasys) has been developed to separate occupational from non-occupational causes of airflow obstruction. Oasys-2 is based on a discriminant analysis, and achieved a sensitivity of 75% and a specificity of at least 94%; therefore peak expiratory flow monitoring combined with Oasys-2 analysis is better to confirm than to exclude occupational asthma. A neural network version in development has improved on this. Both have been based on expert interpretation of peak flow measurements plotted as daily maximum, mean, and minimum, with the first reading at work taken as the first reading of the day. Oasys has been evaluated with independent criteria against measurements made in a wide range of occupational situations. Oasys is sufficiently developed to be the initial method for the confirmation, although less so for exclusion of occupational asthma.

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Year:  1999        PMID: 10658562      PMCID: PMC1757688          DOI: 10.1136/oem.56.11.758

Source DB:  PubMed          Journal:  Occup Environ Med        ISSN: 1351-0711            Impact factor:   4.402


  23 in total

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Journal:  Thorax       Date:  1984-11       Impact factor: 9.139

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Authors:  P S Burge
Journal:  Eur J Respir Dis Suppl       Date:  1982

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Journal:  J Allergy Clin Immunol       Date:  1990-03       Impact factor: 10.793

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Journal:  J Allergy Clin Immunol       Date:  1989-11       Impact factor: 10.793

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Authors:  P S Burge; I M O'Brien; M G Harries
Journal:  Thorax       Date:  1979-06       Impact factor: 9.139

10.  Comparison of normal and asthmatic circadian rhythms in peak expiratory flow rate.

Authors:  M R Hetzel; T J Clark
Journal:  Thorax       Date:  1980-10       Impact factor: 9.139

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  8 in total

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Authors:  Jeremy Beach; Harold Hoffman
Journal:  CMAJ       Date:  2003-08-05       Impact factor: 8.262

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Authors:  David L Sanders; Dominik Aronsky
Journal:  J Am Med Inform Assoc       Date:  2006-04-18       Impact factor: 4.497

3.  The validation of work-related self-reported asthma exacerbation.

Authors:  Aimee R Bolen; Paul K Henneberger; Xiaoming Liang; Susan R Sama; Peggy A Preusse; Richard A Rosiello; Donald K Milton
Journal:  Occup Environ Med       Date:  2006-12-20       Impact factor: 4.402

4.  Computer-aided intelligent system for diagnosing pediatric asthma.

Authors:  Maryam Zolnoori; Mohammad Hossein Fazel Zarandi; Mostafa Moin; Hassan Heidarnezhad; Anoshirvan Kazemnejad
Journal:  J Med Syst       Date:  2010-07-10       Impact factor: 4.460

5.  Occupational asthma due to low molecular weight agents: eosinophilic and non-eosinophilic variants.

Authors:  W Anees; V Huggins; I D Pavord; A S Robertson; P S Burge
Journal:  Thorax       Date:  2002-03       Impact factor: 9.139

6.  Application of intelligent systems in asthma disease: designing a fuzzy rule-based system for evaluating level of asthma exacerbation.

Authors:  Maryam Zolnoori; Mohammad Hossein Fazel Zarandi; Mostafa Moin
Journal:  J Med Syst       Date:  2011-03-12       Impact factor: 4.460

7.  Early incidence of occupational asthma among young bakers, pastry-makers and hairdressers: design of a retrospective cohort study.

Authors:  Thomas Rémen; Vincent Coevoet; Dovi-Stéphanie Acouetey; Jean-Louis Guéant; Rosa-Maria Guéant-Rodriguez; Christophe Paris; Denis Zmirou-Navier
Journal:  BMC Public Health       Date:  2010-04-26       Impact factor: 3.295

8.  Respiratory Symptoms due to Occupational Exposure to Formaldehyde and MDF Dust in a MDF Furniture Factory in Eastern Thailand.

Authors:  Anamai Thetkathuek; Tanongsak Yingratanasuk; Wiwat Ekburanawat
Journal:  Adv Prev Med       Date:  2016-12-14
  8 in total

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