The purpose of this study was to investigate the amount of diagnostic
information contained in a set of routine lung function studies and to
attempt to determine which tests could be omitted without significant
loss of discrimination.Cluster analysis was performed on a set of phy
siological and questionnaire data, collected prospectively in 1,542 ma
le patients, referred consecutively for measurement of forced expired
volumes, static lung volumes and measurements of the transfer factor f
or carbon monoxide. A respiratory questionnaire was completed for each
patient. A physician assigned the patients to a rigorously defined di
agnostic category, based on supporting clinical information, as well a
s pulmonary function, apart from 241 patients with unusual diagnoses a
nd those in whom the criteria did not apply satisfactorily. This diagn
osis was never included as a classification variable. Basing the class
ification on three independent measurements, total lung capacity, the
ratio of forced expiratory volume in one second (FEV1) to vital capaci
ty, and the transfer factor for carbon monoxide, the computer generate
d six groups: one normal, one showing an isolated gas exchange defect,
and four with varying degrees of restriction and obstruction. This cl
assification performed well in separating the patients with the clinic
al diagnoses of chronic airflow obstruction, bronchial asthma and inte
rstitial lung disease from those with ischaemic and valvular heart dis
ease and other miscellaneous disorders. Omitting total lung capacity r
esulted in some loss of specificity, but valid information was still o
btained. The inclusion of all the static and dynamic lung volumes and
of carbon monoxide transfer coefficient made little difference. Inclus
ion of information from the respiratory questionnaire about smoking, s
putum and breathlessness was unhelpful, as the resulting groups were l
ess well recognizable physiologically. We conclude that in addition to
confirming the validity of historic classifications, disorders of ven
tilation and gas exchange, these results show that standard respirator
y function tests can contribute useful diagnostic information even whe
n considered in isolation, and may be allowed an important role in the
diagnostic process.