Copyright ©ERS Journals Ltd 2001 Airway responsiveness and peak flow variability in the diagnosis of asthma for epidemiological studies1 Division of Respiratory Medicine, Clinical Sciences Building, City Hospital, University of Nottingham, UK. 2 Channing Laboratory, Dept of Medicine, Brigham and Women's Hospital, Boston, USA CORRESPONDENCE: S.A. Lewis, Division of Respiratory Medicine, Clinical Sciences Building, City Hospital, Hucknall Road, Nottingham, NG5 1PB, UK. Fax: 44 1158404771 Keywords: asthma epidemiology, bronchial reactivity, peak flow variability
Received: February 2, 2001
This study was funded by the UK National Asthma Campaign and the British Lung Foundation. S. Lewis was funded by the Medical Research Council.
Airway responsiveness and variability in peak expiratory flow (PEF) are widely used as objective diagnostic measures of asthma, but it is not clear how these variables should be calculated or adjusted to obtain the highest diagnostic validity for physician-diagnosed asthma in the community. Data from a community-based sample of 1,513 adults has been used. Airway responsiveness to methacholine and 7-day PEF data were obtained in 1991, asthma and respiratory symptoms were diagnosed by questionnaires in 1991 and 1999. Airway responsiveness was expressed as the provocative dose causing a 20% fall in forced expiratory volume in one second (PD20), two-point and least-squares regression slopes. PEF variability was expressed as daily amplitude, weekly standard deviation and mean of the two lowest readings. Continuous measures were adjusted for measures of baseline airway calibre by linear regression.
Measures of airway responsiveness had greater sensitivity for specificity for self-reported diagnosed asthma than expressions of PEF variability, before and after adjustment for airway calibre. Diagnostic validity was substantially better in adults aged <50 yrs; PD20 provided the best sensitivity for specificity (61% for 95% at 8.3 µmol). In those aged In younger age groups, provocative dose causing a 20% fall in forced expiratory volume in one second provides a valuable objective measure of asthma for epidemiological studies, but is unable to distinguish between asthma and chronic obstructive pulmonary disease in older people. Objective and valid diagnostic methods are fundamental to the study of asthma. Measurements of airway hyperresponsiveness (AHR) and variability in peak expiratory flow (PEF) have been most widely used in this context. AHR generally appears to be more closely related to clinically-diagnosed asthma than PEF variability 1, but both measures lack specificity at acceptable levels of sensitivity in comparison with ascertaining disease using a questionnaire. Self-reported asthma has good sensitivity and specificity when tested against physician's opinion in developed societies 2. However, it is likely to be less satisfactory for contrasting disease prevalence with developing societies, where access to health services may limit diagnostic ascertainment and linguistic or literacy divides may hinder comparability of symptom-based questionnaires. It is therefore important to explore methods of improving the diagnostic performance of available measures, which do not involve a questionnaire, including AHR and PEF variability. One variable that is closely related to both AHR and PEF variability is baseline lung function, and this study has been carried out to determine whether adjustment for baseline function improves the diagnostic validity of these measures. The most current methods of measuring AHR and PEF variability already include some degree of lung function adjustment, since AHR is usually expressed in terms of percentage change in the forced expiratory volume in one second (FEV1) and PEF variation as a function of the mean of PEF measures made during a period of recording. However, the authors have previously reported that AHR in the general population is still strongly and independently associated with baseline FEV1, expressed in absolute terms, as the per cent predicted and as the per cent of the forced vital capacity (FVC) 3. Several studies have demonstrated that adjusting measures of AHR for baseline airway calibre may reduce age disparities in the distribution of AHR 35. The question, therefore, arises whether the expression of AHR or PEF variability, as residual measures, after full correction for these different indices of initial lung function, improve the clinical diagnosis of asthma and help to distinguish between asthma and chronic obstructive airways disease, particularly in older people. The authors used cross-sectional and longitudinal data from a general population sample, collected in a study of the relation between diet and lung disease, which was initially carried out in 1991 6. A follow-up questionnaire was carried out in 1999 to: 1) explore the relationship between doctor-diagnosed asthma and various different methods of expressing AHR and PEF variability; 2) to investigate the effects of adjustment for baseline lung function on these measures; and 3) to determine their relative predictive value for incident asthma over 9 yrs of follow-up. Whether these results were dependent on age was investigated by looking at these effects within three age strata.
Data were obtained from a previously described cohort of 2,633 subjects aged 1870 yrs. The subjects were identified by systematic sampling from a random starting point in the electoral register of an area in the Nottingham Local Authority, and were first studied in 1991 6. All subjects undertook measurements of (prebronchodilator) FEV1 and FVC, and provided self-reported information on doctor-diagnosed asthma, age at onset of asthma and on the occurrence of respiratory symptoms over the previous 12 months (using questions from the International Union against Tuberculosis and Lung Disease (IUATLD) (1984) questionnaire 7). Allergen skin sensitization to Dermatophagoides pteronyssinus, cat fur and grass pollen was measured, and the response defined as the mean of two right-angled weal diameters, one of which was the largest measurable diameter of the weal, excluding pseudopods and flares. The method of Yan et al. 8 was used to measure airway reactivity to methacholine in all 2,415 (92%) consenting subjects with no medical contraindication to testing and who had a baseline FEV1 >60% pred or 1.5 L, whichever was lower. Methacholine was given until FEV1 had fallen by 20% from the postsaline baseline, or up to a maximum cumulative dose of 12.25 µmol. All subjects were asked to keep a record of PEF measurements taken at 2-h intervals when possible during waking hours for 7 consecutive days. The authors used data from the 1,664 diaries (from a total of 1,702 (65%) returned PEF records) that included at least two readings on at least 4 of the last 5 days. By these criteria, a total of 1,513 subjects provided complete data on all of the variables mentioned earlier.
Follow-up study
Analysis PEF variability was calculated from data from days 37 on the 7-day diary card (days 1 and 2 were excluded to reduce any learning effect 11) and expressed for each subject as: 1) the amplitude as a percentage of the mean PEF computed as the 5-day mean of the daily highest minus the daily lowest value, divided by the daily mean (amp%mean) 12; 2) the standard deviation of all available PEF measurements as a percentage of the 5-day mean (sd%mean) 12; and 3) the mean of the two lowest PEF readings as a percentage of the 5-day mean (two-lowest %mean) 13.
Baseline lung function was expressed as: 1) the absolute value of FEV1 (FEV1); 2) FEV1 as a percentage of FVC (FEV%FVC); and 3) the residual of FEV1 regressed upon sex, age and height (FEVR). Atopy was defined as the occurrence of any saline-corrected allergen skin weal with a diameter of Operator curves were plotted to compare sensitivity for specificity for doctor-diagnosed asthma for each measure of AHR and PEF defined earlier. Sensitivity was computed at constant 95% specificity to facilitate comparison between measures in the whole sample, and also in three predefined age strata (1835, 3650, and 5170) with approximately equal numbers in each. Measures of PEF variability were approximately log normally distributed, and were therefore base 10 log transformed for analysis. A reciprocal (1/(TPS+10) and 1/(LSRS+10)) transformation was applied to the dose-response measures of airway responsiveness, this resulted in variables being closer to normally distributed and having greater stability of variance than the equivalent log transformations 10. Using data on subjects without doctor-diagnosed asthma, the independent effects of FEV1, FEV%FVC and FEVRon each of these measures was assessed using multiple linear regression, fitting higher order polynomial terms as appropriate. The differences between observed and predicted values from these models were used as measures adjusted for lung function, and sensitivity for specificity compared with that for the unadjusted airway responsiveness and PEF variability values. PD20 values were not adjusted for baseline lung function since the analysis of censored data would involve using nonstandard regression techniques. In subjects without diagnosed asthma in 1991, the predictive value of all of these measures for incident asthma between 1991 and 1999 was examined. The distributions of sex, age group, smoking history, FEV1, atopy, and the occurrence of asthma-like symptoms was compared in subjects with extreme values of airway responsiveness and PEF variability before and after adjustment for lung function. A p-value of 0.05 was used for all the statistical analyses.
Unadjusted measures of airway hyperresponsiveness and peak expiratory flow variability The baseline characteristics, age, sex, smoking history and the prevalence of diagnosed asthma, of the original sample of 2,633 subjects studied in 1991 are shown in table 1
In 1991, 122 (8.1%) subjects from the study population of 1,513 reported doctor-diagnosed asthma, andof the 72 who responded in 1999, 57 (79%) of their GPs confirmed both the diagnosis and that it was recorded before 1991. Only 23 individuals reported incident asthma between 19911999 (2.2% of those without asthma in 1991). Of these, a diagnosis was confirmed by the GP in 17 (81% of those who replied), and was first documented in the medical record after 1991 in 16.
During methacholine challenge testing in 1991, inhaled doses of methacholine up to a cumulative total of 12.25 µmol generated a fall in FEV1 of
For PEF variability, the amp%mean measure provided higher sensitivity at 95% specificity in the total sample and in most age groups than either the sd%mean or the two-lowest%mean. However, even sensitivity for amp%mean was low at only 25% in the whole group and, at best, 41% in the age group 3650 yrs (table 2
Adjustment for baseline lung function
Each measure of PEF variability was strongly and independently associated with FEV1, FEV%FVC and FEVR (table 3
Effect of adjustment for baseline lung function on thecharacteristics and predictive value of airway hyperresponsiveness
Dose-response slope versus provocative dose of methacholine causing a 20% fall in forced expiratory volume in one second
The present study confirms that measurements of AHR are more closely approximate to diagnosed asthma in the community than measures of PEF variability in all age groups. However, sensitivity for specificity of airway responsiveness was substantially lower in older age groups, and was reduced further when adjustment was made for baseline airway calibre. In subjects aged <50, adjusting for baseline airway calibre made no substantial difference either to the diagnostic validity of measurements of AHR or the characteristics of the hyperresponsive group. In this younger age group, hyperresponsiveness defined by a cut-off achievable using the PD20 measurement, identified the majority of diagnosed asthmatics and was present in only a small minority of individuals who had neither diagnosed asthma nor symptoms characteristic of asthma.
In the present study, measurement of self-reported doctor-diagnosed asthma via a questionnaire was used as the "gold standard"; self-reported asthma has been previously shown to have good specificity, although it may have lower sensitivity, compared to a physician's opinion 2. Specificity against GP records was found to be PEF variability is a measurement of airflow variability and should therefore be a close measurement of the inherent abnormality of asthma, but in practice it is difficult to estimate. Data was collected over 7 days and analysed over the last 5 days of recording to allow for learning effects 11. It is possible that a longer period of recording would have resulted in more useful measurements, but this approach has to be weighed against the decreased availability of data arising from a longer period of recording. Only two-thirds of the subjects returned their weekly diaries with adequate readings for analysis, substantially less than the 92% of individuals who provided useable methacholine challenge data. A day of PEF readings was considered to be viable if there were at least two readings; the median number was, in fact, seven per day for all age ranges, except the youngest age group where the median number of readings was six. This may have contributed to the poorer diagnostic validity of PEF variability in younger individuals. Three different measurements of PEF variability were tried, which respectively measured variability within, and between, days and on isolated days of low PEF. All three measurements were generally more closely correlated to measures of baseline lung function than were measures of airway responsiveness, and this relationship appeared to largely explain, rather than weaken, the association of PEF variability with diagnosed asthma, especially in the older age groups. This is consistent with previous reports that PEF variability yields information on a different physiological component of disease to that measured by bronchial responsiveness 1, 14, but the data suggests that it may largely be a measure of airway calibre, and as a definitive measure of asthma status, is relatively uninformative. The data also suggests that techniques of PEF variability are essentially unworkable in community surveys. The relationship between airway responsiveness and baseline lung function has been widely reported 3, 1518 but is not fully understood. Explanations for this association range from the suggestion that small airways cause AHR because subjects with small lungs receive a proportionately greater dose of agonist during bronchial challenge, to the hypothesis that AHR is a fundamental abnormality, which causes impairment of FEV1 19, 20. Whatever the explanation, adjusting for airway calibre could either improve or impair the relationship between airway responsiveness and asthma. In some studies, making an adjustment for lung function to measures of airway responsiveness appears to alter the age and sex characteristics of those with hyperresponsiveness 35. However, in the first of these studies, Peat et al. 4 found little change in the sensitivity for specificity of the adjusted measure for asthma. The population used in the present study comprised a wider age range, and conversely, it was found that the diagnostic value of AHR was substantially reduced by adjusting for lung function in the older age group. The authors chose to subdivide arbitrarily at age 50 yrs, but the same was true in further analyses of the 5060 yrs age group (data not presented), suggesting that 50 yrs provides a reasonable cut-off age beyond which measures of AHR, like PEF variability, are largely determined by lung function, and are, therefore, effectively markers of chronic obstructive pulmonary disease (COPD). In nonasthmatics aged <50, the relationship between AHR and lung function was relatively weak, even though it was statistically significant. Therefore, adjustment for lung function had little impact on either the sensitivity or the characteristics of those with AHR. In this younger age group, where the distinction between asthma and COPD does not present such a problem, measures of AHR are much closer to diagnosed asthma or to symptoms suggestive of asthma. Data was not available on subjects <18 yrs of age, hence it is not known whether this is also the case in children. Historically, airway responsiveness has usually been expressed using the PD20, although dose-response alternatives were introduced more recently, with the intention of providing continuous measurements of airway responsiveness, consistent with the notion of disease as a continuum. The dose-response measurements have very similar repeatability to PD20 10, but are more difficult to analyse. Even when reciprocal transformation is used, as in the present study, normally distributed variables are not produced, rendering statistical analysis complicated. It is evident from the analyses of these measures in those aged <50 yrs that airway responsiveness may bear a statistically significant relationship with asthma at levels below that achievable using PD20 16, but there is relatively little gain in sensitivity for loss in specificity beyond this level. Moreover, over the range of specificities attainable using PD20, this measure had marginally better sensitivity for asthma than either dose-response measurement. A PD20 cut-off of 8.3 µmol identified almost two-thirds of asthmatics (63% of those confirmed by the GP), whilst the vast majority (87%) of hyperresponsive individuals, had either asthma or asthma-like symptoms. PD20 is also relatively easy to compute. Despite previous concerns about validity 21, the present study suggests that the provocative dose of methacholine causing a 20% fall in forced expiratory volume in one second provides the best nonquestionnaire diagnostic measurement of asthma.
The authors would like to thank I. Pavord, I. Wahedna, C. Wong, and W. Kinnear for assistance with the survey fieldwork, the General Practitioners and their colleagues who allowed the use of their premises for the study and the people of Gedling who took part.
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