Literature DB >> 8711678

Interrelationships between diagnosed asthma, asthma-like symptoms, and abnormal airway behaviour in adolescence: the Odense Schoolchild Study.

H C Siersted1, G Mostgaard, N Hyldebrandt, H S Hansen, J Boldsen, H Oxhøj.   

Abstract

BACKGROUND: The diagnosis of asthma is based on several characteristics including symptoms and suitable tests of airway lability. However, it is neither clear to what degree various tests and symptoms identify the same subjects, nor how these characteristics are best combined to diagnose asthma. The interrelationships between physician-diagnosed asthma, asthma-like symptoms, and abnormal airway function, as defined by four commonly used tests, have therefore been assessed.
METHODS: A population based sample of 495 Danish schoolchildren aged 12-15 years, comprising 292 randomly selected subjects and 203 subjects considered at risk of having or developing asthma, was examined. Symptoms and background information were recorded by questionnaire. The test panel consisted of baseline forced expiratory volume in one second (FEV1%), provocation with treadmill exercise (EXE) and with inhaled methacholine (PD15), and monitoring of peak expiratory flow (PEF) twice daily for two weeks.
RESULTS: The sensitivity for diagnosed asthma was highest for PD15 followed by PEF monitoring, whereas specificity for asthma or asthma-like symptoms was marginally higher with the other two tests. Most symptomatic subjects with any positive test were identified by PD15 alone (75%) or in combination with PEF monitoring (89%). PEF variability was more susceptible to treatment with inhaled steroids than the PD15 index. Although inter-test agreement was weak (kappa < 0.40 for all pairs), significant associations were found between PD15 and EXE, PEF and EXE, and FEV1% and PD15.
CONCLUSIONS: The agreement between the four tests was weak. In particular, PEF variability and methacholine responsiveness seem to identify different varieties of airway pathophysiology. The combined use of methacholine provocation testing and PEF monitoring may be helpful as an epidemiological screening tool for asthma.

Entities:  

Mesh:

Substances:

Year:  1996        PMID: 8711678      PMCID: PMC473595          DOI: 10.1136/thx.51.5.503

Source DB:  PubMed          Journal:  Thorax        ISSN: 0040-6376            Impact factor:   9.139


  19 in total

1.  Underdiagnosis of asthma in young adults presenting for USAF basic training.

Authors:  W A Nish; L A Schwietz
Journal:  Ann Allergy       Date:  1992-09

2.  A comparative study of four different bronchial challenge tests.

Authors:  L Haugaard; M Iversen; R Dahl
Journal:  Allergy       Date:  1992-04       Impact factor: 13.146

3.  An economic evaluation of asthma in the United States.

Authors:  K B Weiss; P J Gergen; T A Hodgson
Journal:  N Engl J Med       Date:  1992-03-26       Impact factor: 91.245

4.  Blood pressure distribution in a school-age population aged 8-10 years: the Odense Schoolchild Study.

Authors:  H S Hansen; N Hyldebrandt; J R Nielsen; K Froberg
Journal:  J Hypertens       Date:  1990-07       Impact factor: 4.844

5.  Seasonal trends in US asthma hospitalizations and mortality.

Authors:  K B Weiss
Journal:  JAMA       Date:  1990-05-02       Impact factor: 56.272

6.  Clinical longitudinal standards for height, weight, height velocity, weight velocity, and stages of puberty.

Authors:  J M Tanner; R H Whitehouse
Journal:  Arch Dis Child       Date:  1976-03       Impact factor: 3.791

7.  Relationship of airway hyperresponsiveness to respiratory symptoms and diurnal peak flow variation in patients with obstructive lung disease. The Dutch CNSLD Study Group.

Authors:  P L Brand; D S Postma; H A Kerstjens; G H Koëter
Journal:  Am Rev Respir Dis       Date:  1991-05

8.  Comparison of bronchial reactivity and peak expiratory flow variability measurements for epidemiologic studies.

Authors:  B G Higgins; J R Britton; S Chinn; S Cooper; P G Burney; A E Tattersfield
Journal:  Am Rev Respir Dis       Date:  1992-03

9.  Toward a definition of asthma for epidemiology.

Authors:  B G Toelle; J K Peat; C M Salome; C M Mellis; A J Woolcock
Journal:  Am Rev Respir Dis       Date:  1992-09

10.  International Study of Asthma and Allergies in Childhood (ISAAC): rationale and methods.

Authors:  M I Asher; U Keil; H R Anderson; R Beasley; J Crane; F Martinez; E A Mitchell; N Pearce; B Sibbald; A W Stewart
Journal:  Eur Respir J       Date:  1995-03       Impact factor: 16.671

View more
  7 in total

Review 1.  ABC of asthma. Prevalence.

Authors:  John Rees
Journal:  BMJ       Date:  2005-08-20

Review 2.  Overcoming gaps in the management of asthma in older patients: new insights.

Authors:  Pranoy Barua; M Sinead O'Mahony
Journal:  Drugs Aging       Date:  2005       Impact factor: 3.923

3.  Objective measures and the diagnosis of asthma. We need a simple diagnostic test-but don't yet have one.

Authors:  J Britton; S Lewis
Journal:  BMJ       Date:  1998-07-25

4.  Peak flow variability, methacholine responsiveness and atopy as markers for detecting different wheezing phenotypes in childhood.

Authors:  R T Stein; C J Holberg; W J Morgan; A L Wright; E Lombardi; L Taussig; F D Martinez
Journal:  Thorax       Date:  1997-11       Impact factor: 9.139

5.  Asthma control and cognitive function in a cohort of elderly adults.

Authors:  Maile Ray; Mary Sano; Juan P Wisnivesky; Michael S Wolf; Alex D Federman
Journal:  J Am Geriatr Soc       Date:  2015-04-08       Impact factor: 5.562

6.  Population based study of risk factors for underdiagnosis of asthma in adolescence: Odense schoolchild study.

Authors:  H C Siersted; J Boldsen; H S Hansen; G Mostgaard; N Hyldebrandt
Journal:  BMJ       Date:  1998-02-28

Review 7.  Cough. 1: Chronic cough in adults.

Authors:  A H Morice; J A Kastelik
Journal:  Thorax       Date:  2003-10       Impact factor: 9.139

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.