C. Leroyer et al., COMPARISON OF SERIAL MONITORING OF PEAK EXPIRATORY FLOW AND FEV1 IN THE DIAGNOSIS OF OCCUPATIONAL ASTHMA, American journal of respiratory and critical care medicine, 158(3), 1998, pp. 827-832
Citations number
21
Categorie Soggetti
Emergency Medicine & Critical Care","Respiratory System
Peak expiratory flow (PEF) monitoring is often used to establish the r
elationship between occupational exposure and asthma. FEV1 has been fo
und to be a better physiologic index than PEF in the measurement of ai
rflow obstruction. The aim of this study was to compare the accuracy o
f serial monitoring of PEF and FEV1 in the diagnosis of occupational a
sthma. Twenty consecutive subjects referred for possible occupational
asthma were asked to perform serial monitoring of PEF and FEV1 using a
portable ventilometer. Two sets of graphs were plotted for both PEF a
nd FEV1: graphs with the best of all values and graphs with the best o
f two reproducible values. Three observers interpreted both PEF and FE
V1 recordings by the visual method in a blind, randomized manner as ei
ther compatible with occupational asthma or not. Eleven of the subject
s had a positive inhalation challenge test (high-molecular-weight agen
ts, n = 6; low-molecular-weight agents, n = 5). In the case of analysi
s of the graphs plotted with the best of all values, the sensitivity o
f the PEF recording interpreted by the three observers was 82, 73, and
73%, and of the FEV1 recording as 55, 55, and 45%; specificity of PEF
recording was 89, 100, and 100%, and of FEV1 was 56, 89, and 100%. Wh
en an agreement between two of the three readers was required to defin
e occupational asthma, sensitivity and specificity were 73 and 100% fo
r PEF and 55 and 89% for FEV1. Lower sensitivities were found when the
same analyses were performed with the graphs plotted with the best of
two reproducible values. It was concluded that unsupervised FEV1 is n
ot more accurate than unsupervised PEF monitoring in the diagnosis of
occupational asthma. Plotting graphs using the best value gives better
diagnostic accuracy than plotting them with the best of two reproduci
ble values.