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C P van Schayck a Department of General Practice, Research
Institute ExTra, University of Maastricht, Postbox 616, 6200 MD
Maastricht, Netherlands, b Department of Pulmonology, University of Maastricht, c Department of
General Practice and Family and Social Medicine, University Medical
Centre St Radboud, Nijmegen, Netherlands
Correspondence to: C P van
Schayck Onno.vanschayck{at}hag.unimaas.nl
Objectives:
To investigate the effectiveness of case
finding of patients at risk of developing chronic obstructive pulmonary disease, whether the method is suitable for use in general practice, how patients should be selected, and the time required.
What is already known on this topic
Screening a practice population for the disease is not
feasible Smoking is a known risk factor for patients developing the disease What this study adds
Cough and age are good predictors of the disease in smokers Practice assistants can measure lung function at low cost
Design:
Cross sectional study.
Setting:
Two semirural general practices in the Netherlands.
Participants:
651 smokers aged 35 to 70 years.
Main outcome measures:
Short standardised
questionnaire on bronchial symptoms for current smokers, lung function
with a spirometer, and the quality of the spirometric curve.
Results:
Of the 201 smokers not taking drugs for a pulmonary condition, 169 produced an acceptable curve (fulfilling American Thoracic Society criteria). Of these, 30 (18%, 95%
confidence interval 12% to 24%) had a forced expiratory volume in one
second (FEV1) <80% of predicted. When smokers were
preselected on the basis of chronic cough, the proportion with an
FEV1 <80% of predicted increased to 27% (17 of 64; 12%
to 38%). Chronic cough was a better predictor of airflow obstruction
than other symptoms, such as wheeze and dyspnoea. The presence of two
symptoms was a slightly better predictor than cough only (odds ratio
3.02 (1.37 to 6.64) v 2.50 (1.14 to 5.52)). Age was also a
good predictor of obstruction; smokers over 60 with cough had a 48%
chance of having an obstruction. The mean time needed for spirometry
was four minutes. Detecting one smoker with an FEV1 <80%
of predicted cost
5 to
10.
Conclusions:
Trained practice assistants could check
all patients who smoke for chronic obstructive pulmonary disease at little cost to the practice. Cough and age are the most important predictors of the disease. By testing one smoker a day, an average practice could identify one patient at risk a week.
The number of patients with chronic obstructive pulmonary disease
continues to increase
Case finding of chronic obstructive pulmonary disease by examining
smokers is effective and can be implemented in general
practice
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