Background It has been claimed that exhaled nitric oxide (FeNO) could be regarded as a surrogate marker for sputum eosinophil count in patients with asthma. However, the FeNO threshold value that identifies a sputum eosinophil count ≥3% in an unselected population of patients with asthma has been poorly studied.
Methods This retrospective study was conducted in 295 patients with asthma aged 15–84 years recruited from the asthma clinic of University Hospital of Liege. Receiver-operating characteristic (ROC) curve and logistic regression analysis were used to assess the relationship between sputum eosinophil count and FeNO, taking into account covariates such as inhaled corticosteroids (ICS), smoking, atopy, age and sex.
Results Derived from the ROC curve, FeNO ≥41 ppb gave 65% sensitivity and 79% specificity (AUC=0.777, p=0.0001) for identifying a sputum eosinophil count ≥3%. Using logistic regression analysis, a threshold of 42 ppb was found to discriminate between eosinophilic and non-eosinophilic asthma (p<0.0001). Patients receiving high doses of ICS (≥1000 μg beclometasone) had a significantly lower FeNO threshold (27 ppb) than the rest of the group (48 ppb, p<0.05). Atopy also significantly altered the threshold (49 ppb for atopic vs 30 ppb for non-atopic patients, p<0.05) and there was a trend for a lower threshold in smokers (27 ppb) compared with non-smokers (46 ppb, p=0.066). Age and sex did not affect the relationship between FeNO and sputum eosinophilia. When combining all variables into the logistic model, FeNO (p<0.0001), high-dose ICS (p<0.05) and smoking (p<0.05) were independent predictors of sputum eosinophilia, while there was a trend for atopy (p=0.086).
Conclusion FeNO is able to identify a sputum eosinophil count ≥3% with reasonable accuracy and thresholds which vary according to dose of ICS, smoking and atopy.
- Asthma, FENO, sputum eosinophils, smoking, inhaled corticoids, atopy
- eosinophil biology
- exhaled airway markers
Statistics from Altmetric.com
- Asthma, FENO, sputum eosinophils, smoking, inhaled corticoids, atopy
- eosinophil biology
- exhaled airway markers
The utility of measuring airway inflammation in the management of asthma has recently been emphasised. Measuring exhaled nitric oxide (FeNO) levels or the sputum eosinophil count in patients with asthma in clinical practice was found to be useful for diagnosis, predicting the response and guiding the anti-inflammatory treatment.1 2 There is evidence that a sputum eosinophil cell count of 3% is a robust biomarker that carries clinical value. There is also increasing evidence that non-eosinophilic asthma (sputum eosinophil count <2–3%) is not improved by short-term treatment with inhaled corticosteroids (ICS).3 Furthermore, in longitudinal studies, targeting the sputum eosinophil count <2–3% for adjustment in the dose of ICS in moderate to severe asthma results in a marked reduction in asthma exacerbations and hospitalisations.4 5 Online measurement of FeNO has the advantage of being simple and providing immediate results. Some studies, including ours,6–8 have shown a correlation between FeNO and sputum eosinophil count in large unselected populations of patients with asthma encountered in daily practice. Berry et al found that a FeNO value ≥8.3 ppb in non-smokers predicted a sputum eosinophil count >3% when measured at a flow rate of 250 ml/s.6
Both FeNO levels and sputum eosinophils were found to be strongly reduced by treatment with ICS.9 10 It is well recognised that smoking lowers FeNO values in patients with asthma,11 and some studies have found that patients with asthma who smoke are less eosinophilic than non-smoking patients with asthma.12 Atopy was found to be associated with raised FeNO irrespective of asthma13 and is known to favour eosinophilic inflammation. There are, however, no data on how treatment with ICS, smoking and atopy may affect the relationship between FeNO and sputum eosinophil count.
We performed a retrospective analysis of a large series of unselected patients with asthma who underwent both FeNO determination and successful sputum induction on the same visit. We determined FeNO values that best identified a sputum eosinophil count ≥3%, taking into account important covariates such as the dose of ICS, atopy, smoking status, age and sex.
Subject characteristics and study design
We conducted a retrospective study on a series of 357 patients with asthma recruited from the University Asthma Clinic of Liege between 1 October 2005 and 30 September 2008. From those patients we selected 295 with asthma who had undergone both FeNO measurement and successful sputum induction. Their demographic and functional characteristics are summarised in table 1. Patients attended the clinic on 2 days at an interval of 1 week. On day 1 each patient underwent FeNO measurement, spirometry with bronchodilation, sputum induction, gave a blood sample and filled in validated asthma control and quality of life questionnaires. On day 2 the subjects underwent methacholine challenge after refraining from using bronchodilators for the appropriate time (8 h for short-acting bronchodilators and 24 h for long-acting bronchodilators) as long as the baseline forced expiratory volume in 1 s (FEV1) value was not less than 70% predicted. Asthma was diagnosed based on symptoms of cough, breathlessness or dyspnoea together with the demonstration of airflow variability. The latter was defined by airway hyper-responsiveness shown by one or more of the following: increase in FEV1 of ≥12% and 200 ml following inhalation of 400 μg salbutamol or inhaled concentration of methacholine provoking a 20% fall in FEV1 of <16 mg/ml. Methacholine challenges were performed according to a standardised methodology as previously described.14 Subjects were characterised as atopic if they had at least one positive specific IgE (>0.35 kU/l; Phadia) for at least one common aeroallergen (cat, dog, house dust mite, grass pollen, tree pollen and a mixture of moulds). Quality of life was assessed using the self administered Asthma Quality of Life Questionnaire (AQLQ)15 and asthma control by the Juniper ACQ.16
Exhaled NO measurement, sputum induction and processing
FeNO was measured by chemiluminescence using a nitric oxide monitor set at an exhalation flow rate of 50 ml/s according to the ERS/ATS recommendations (NIOX, Aerocrine, Sweden). FeNO was measured prior to lung function tests, salbutamol administration and induced sputum.
Sputum was induced and processed as previously reported.17 Cell counts were estimated on samples centrifuged (Cytospin) and stained with Diff Quick after counting 500 cells (Dade, Brussels, Belgium).
The results were expressed as mean±SD for continuous variables; median and interquartile range (IQR) were preferred for skewed distributions. For categorical variables, the number of observations and percentages were given in each category. Comparisons between different subgroups were performed with a Kruskal–Wallis test. The Spearman correlation coefficient was used to measure the association between FeNO and sputum eosinophil count. The receiver-operating characteristic (ROC) curve was constructed to determine the concentration of FeNO which best identified a sputum eosinophil count ≥3% in the whole population. Logistic regression analysis was used to assess the relationship between the binary outcome (sputum eosinophil count ≥3%) and a set of covariates, individually or in combination. Covariates included FeNO (log-transformed), age, gender, smoking, ICS and atopy. Cut-off points on the FeNO scale were determined in each case so that there was a ≥50% probability of a sputum eosinophil count ≥3%. The sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) were also calculated for each cut-off point from the original data. The results were considered to be significant at the 5% critical level (p<0.05). Calculations were done using SAS Version 9.1 (SAS Institute, Cary, North Carolina, USA).
The demographic and functional characteristics of the patients are given in table 1. For the whole group there was a significant positive relationship between the FeNO level and the percentage of sputum eosinophil count (RS=0.54, p<0.0001; figure 1). Despite this significant correlation, some patients showed marked discordance between the two markers. Patients with low sputum eosinophilia (<25% percentile) and high FeNO levels (>75% percentile) were all atopic, non-smokers and receiving low doses of ICS (N=4). By contrast, for patients with high sputum eosinophilia (>75% percentile) and low levels of FeNO (<25% percentile), the only common distinctive feature was high doses of ICS (N=3). Using the ROC curve method we found that a FeNO concentration >41 ppb yielded 65% sensitivity and 79% specificity (AUC=0.78, p<0.0001) for identifying a sputum eosinophil count ≥3% in the whole population (figure 2). This was confirmed by logistic regression analysis as we found that a threshold of 42 ppb discriminated between eosinophilic and non-eosinophilic asthma with 63% sensitivity and 80% specificity (p<0.0001).
Demographic, functional and inflammatory characteristics according to smoking status and the dose of ICS are given in table 2. When taking the dose of ICS into account in non-smokers, we distinguished four groups: steroid-naïve patients and patients receiving low doses of ICS (≤500 μg/day beclometasone), moderate doses (500–1000 μg/day beclometasone) and high doses of ICS (>1000 μg/day beclometasone). These groups had significantly different median FeNO values, reaching 47 ppb, 46 ppb, 32 ppb and 24 ppb in steroid-naïve patients and those on low, moderate and high ICS doses, respectively (p<0.001, table 2). By contrast, there was no significant difference in sputum eosinophil counts between the four groups (2.8% (IQR 0.8–14.4) in steroid--naïve patients, 1.8% (IQR 0–12.2) in patients on low-dose ICS, 1.0% (IQR 0–10.3) in patients on moderate doses and 1.8% (IQR 0.3–7.4) in the high-dose ICS group (p>0.05, table 2). Using logistic regression we found that the FeNO threshold associated with sputum eosinophils ≥3% for patients receiving high doses of ICS was significantly lower (27 ppb) than that of steroid-naïve patients or those receiving low and moderate doses of ICS (48 ppb, p=0.028, table 3).
Median FeNO in atopic subjects was 1.3 times higher (34 ppb) than in non-atopic patients (26 ppb), which is close to that reported by Travers et al (1.2 times, p=0.011).18 By contrast, the sputum eosinophil count did not differ between atopic and non-atopic asthmatic subjects (median 1.8% vs 2%, p=0.543). Using logistic regression, atopic patients had a significantly greater FeNO threshold value (49 ppb) than non-atopic patients (30 ppb, p=0.049) to identify sputum eosinophils ≥3% (table 3).
The FeNO level in smokers was significantly lower than in non-smokers (median 17 ppb for smokers vs 35 ppb for non-smokers, p=0.003). The median FeNO level for non-smokers was two times higher than in current smokers, which was higher than 1.18 obtained by Travers et al18 but in line with the results of Michils et al.19 In contrast, the median (IQR) sputum eosinophil count did not differ significantly between smokers and non-smokers (1.7 (0.2–8) vs (1.8 (0.2–10.7); p=0.765). After logistic regression the FeNO level that identified a sputum eosinophil count of ≥3% was lower in smokers than in non-smokers (28 ppb vs 46 ppb, p=0.066, table 3).
The median FeNO value was 1.33 times greater in men than in women (36 ppb vs 27 ppb, p=0.009), which is in keeping with the results of Travers et al (1.24 times).18 The sputum eosinophil count was greater in men than in women (2.9% vs 1.5%, p=0.042). However, the FeNO threshold that best identified a sputum eosinophil count of ≥3% was not significantly different between men and women (table 3). Likewise, age did not influence the relationship between FeNO and sputum eosinophils.
When combining all variables into the logistic model, FeNO (p<0.0001), high-dose ICS (p=0.019) and smoking (p=0.044) were independent predictors of sputum eosinophilia and there was a trend for atopy (p=0.086), but age and sex were not significant (table 4). The optimal cut-off point for FeNO associated with a sputum eosinophil count >3% ranged from 15 ppb for smoking non-atopic patients receiving a high dose of ICS to 58 ppb for non-smoking atopic patients not treated with a high dose of ICS.
We compared our FeNO values in patients with asthma with those expected based on the equation proposed by Dressel et al20 in a general population, taking into account the height, sex, atopy and smoking status. It appeared that our observed values were much higher than expected, which highlights the importance of asthma as a major factor contributing to the rise in FeNO (table 5).
Although the debate is not over, it is generally accepted that FeNO has the potential to assess the phenotype of airway inflammation. Like those of Berry et al,6 our data show that FeNO can effectively identify sputum eosinophilia in a large cohort of unselected patients with asthma. There is, however, clear variation in the threshold associated with a sputum eosinophil count of ≥3% depending on treatment with ICS, atopy and smoking status.
The technique of induced sputum that allows collection of airway cells has contributed to the emergence of the concept of asthma phenotypes.21 In particular, it appeared that eosinophilic asthma may show a different response to treatment with ICS than non-eosinophilic asthma.22 Although introduced in the early 1990s, the technique has not been widely adopted into clinical practice, probably because it is technically demanding and time-consuming.
Given the recognised clinical value of sputum eosinophil count, we wondered whether FeNO measured at a flow rate of 50 ml/s could effectively identify a sputum eosinophil count >3% in a large cohort of unselected patients with asthma with different disease severity. Overall we found that FeNO was a valuable measurement to identify eosinophilic asthma with a threshold value of 41 ppb, having sensitivity and specificity of 65% and 79% respectively. This threshold is twice as high as the level recommended for an asthma diagnosis (20 ppb) but quite close to the level that Smith et al claimed to predict a positive response to ICS (47 ppb).23 This is also in keeping with the fact that having a sputum eosinophil count of at least 3% is associated with a clinical response to short-term treatment with ICS. Coincidently, our threshold of 41 ppb appears to be the same as the upper limit of the 90% CI found in a normal population.18 There is an emerging consensus that FeNO values >50 ppb indicate active eosinophilic airway inflammation.24 Conversely, FeNO values <25 ppb are associated with minimal airway eosinophilia. According to our data, FeNO <25 ppb has a negative predictive value of 79% for significant airway eosinophilic inflammation and FeNO >50 ppb has a positive predictive value of 75% to identify sputum eosinophilia.
It is well established that chronic treatment of asthma with ICS results in a reduction in airway eosinophilia10 25 together with a fall in FeNO.9 26 27 How this treatment may affect the relationship between sputum eosinophilia and FeNO remains unclear, however. Our data indicate that FeNO is more sensitive than the sputum eosinophil count to ICS as patients receiving higher doses of ICS had lower FeNO values than the other groups, a phenomenon not observed with the sputum eosinophil count. Consequently, the FeNO threshold associated with sputum eosinophilia ≥3% will be lower in patients receiving high doses of ICS than in those not treated or receiving low or medium doses of ICS.
In agreement with previous studies,13 the influence of atopy was evident in our study with a 30% increase in FeNO in atopic compared with non-atopic patients with asthma. On the other hand, the sputum eosinophil count was similar in both groups. Consequently, the FeNO threshold associated with sputum eosinophilia was found to be greater in atopic patients with asthma than in non-atopic patients with asthma.
Interestingly, our data show that sputum eosinophilia may be present in subjects with asthma who smoke. Indeed, the median value in asthmatics who smoke was not significantly lower than that in the non-smoking group, which is consistent with the findings of Boulet et al.28 There are no data showing that starting to smoke reduces the sputum eosinophil count in patients with asthma. There are, however, data showing that smoking cessation in asthma does not impact on the sputum eosinophil count.29 In contrast, the FeNO levels were clearly lower in patients with asthma who smoke, which confirms the results of a previous study.11 This may be explained by partial irreversible inhibition of nitric oxide synthase by cigarette smoke extract,30 31 or by conversion of nitric oxide to peroxynitrite by superoxide release from neutrophils.32 As tobacco influences FeNO and the sputum eosinophil count differently, it therefore changes the FeNO cut-off value.
As expected, we found higher FeNO levels in men than in women. Interestingly, the sputum eosinophil count was lower in women than in men, an observation not previously reported and in keeping with the higher proportion of neutrophilic asthma in women.33 The reasons for this are unclear at present but might be linked to different immunological mechanisms governing airway inflammation.34 Although sex may influence both the FeNO and the sputum eosinophil count, it does not alter the relationship between these two variables.
As several parameters were shown to influence the relationship between FeNO and sputum eosinophils, a multiple logistic regression approach was used to determine the most useful cut-off point in a patient. It confirmed the importance of high-dose ICS and smoking and, to a lesser extent, atopy. We found that the optimal cut-off points varied from 15 ppb for smoking non-atopic patients receiving a high dose of ICS to 58 ppb for non-smoking atopic patients not treated with a high dose of ICS. The gap between these two extremes is large and ought to be taken into account in the interpretation of airway inflammation.
Some of our patients had paucigranulocytic asthma35 and still exhibited raised FeNO levels. This discordance might be explained by inflammation which has not spilled over into the airway lumen, such that induced sputum is negative for eosinophils while this cell type still persists in the airway wall. In these patients, monitoring of FeNO could be more informative than measuring sputum eosinophils.
While it is a reasonable assumption that our derived FeNO cut-off values will be applicable to the general asthma population, further work is required to validate this in practice as we did not divide our dataset into training and testing groups.
FeNO is able to identify the presence of sputum eosinophilia in unselected patients with asthma with reasonable accuracy as long as thresholds are adjusted for high doses of ICS, atopy and smoking status.
The authors thank Monique Henket for her excellent technical assistance in sputum processing and cytospin reading.
Linked articles 132985.
Funding Supported by Interuniversity Attraction Poles (IAP) Project P6/35 and by unrestricted research grants from GSK, Astra-Zeneca and Novartis.
Competing interests None.
Ethics approval This study was conducted with the approval of the ethics committee of CHU Liege.
Provenance and peer review Not commissioned; externally peer reviewed.
If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.