Clinical patterns in asthma based on proximal and distal airway nitric oxide categories
© The Author(s) 2010
Received: 10 December 2009
Accepted: 28 April 2010
Published: 28 April 2010
The exhaled nitric oxide (eNO) signal is a marker of inflammation, and can be partitioned into proximal [J'awNO (nl/s), maximum airway flux] and distal contributions [CANO (ppb), distal airway/alveolar NO concentration]. We hypothesized that J'awNO and CANO are selectively elevated in asthmatics, permitting identification of four inflammatory categories with distinct clinical features.
In 200 consecutive children with asthma, and 21 non-asthmatic, non-atopic controls, we measured baseline spirometry, bronchodilator response, asthma control and morbidity, atopic status, use of inhaled corticosteroids, and eNO at multiple flows (50, 100, and 200 ml/s) in a cross-sectional study design. A trumpet-shaped axial diffusion model of NO exchange was used to characterize J'awNO and CANO.
J'awNO was not correlated with CANO, and thus asthmatic subjects were grouped into four eNO categories based on upper limit thresholds of non-asthmatics for J'awNO (≥ 1.5 nl/s) and CANO (≥ 2.3 ppb): Type I (normal J'awNO and CANO), Type II (elevated J'awNO and normal CANO), Type III (elevated J'awNO and CANO) and Type IV (normal J'awNO and elevated CANO). The rate of inhaled corticosteroid use (lowest in Type III) and atopy (highest in Type II) varied significantly amongst the categories influencing J'awNO, but was not related to CANO, asthma control or morbidity. All categories demonstrated normal to near-normal baseline spirometry; however, only eNO categories with increased CANO (III and IV) had significantly worse asthma control and morbidity when compared to categories I and II.
J'awNO and CANO reveal inflammatory categories in children with asthma that have distinct clinical features including sensitivity to inhaled corticosteroids and atopy. Only categories with increase CANO were related to poor asthma control and morbidity independent of baseline spirometry, bronchodilator response, atopic status, or use of inhaled corticosteroids.
Asthma is a complex disease characterized by inflammation throughout the respiratory tract from the large airways to the alveoli [1–3]. Moreover, there is mounting evidence that asthma control is correlated with the extent of inflammation, such that symptoms are worse when the inflammation reaches the more peripheral lung compartments [2–6]. One of the great challenges in asthma research is to develop minimally invasive approaches, particularly in children, that could assess the site and extent of inflammation. Such tools could enhance our understanding of the mechanisms that characterize asthma, and prove useful in choosing appropriate therapies .
There is mounting data that analysis of exhaled nitric oxide (eNO) could serve as a non-invasive indicator of the extent and site of inflammation in asthma. eNO is a flow dependent signal [8, 9], and current guidelines  stipulate an exhalation flow of 50 ml/s (FENO,50). FENO,50 is purported to be a marker of airway inflammation, since it is elevated in steroid naïve asthmatics , reduced upon administration of anti-inflammatory medications , and is correlated with biological [13–15] and physiological [16–18] markers of airway inflammation. However, some patients may fulfill the criteria for the diagnosis of asthma, and yet FENO,50 levels will be normal . Numerous longitudinal studies have investigated the use of FENO,50 as a tool in the clinical management of asthma [20–27]. The results of these studies have been mixed, as four of the studies demonstrated that FENO,50 was of limited use in managing asthmatic symptoms and corticosteroid dose [20, 23, 24, 26]; however, methodological issues in the design of these studies have been raised . Therefore, despite the undeniable link between NO and inflammation, the promise of FENO,50 as a surrogate marker of airway inflammation has yet to be fulfilled, and an alternate approach may be indicated .
Two hundred pediatric patients with signs and symptoms of asthma within the past three months who presented to the Children's Hospital of Orange County (CHOC) Breathmobile, a mobile asthma clinic staffed with asthma specialists, for an asthma evaluation participated in the cross-sectional study. Criteria for the diagnosis of asthma included a previous history of recurrent coughing, wheezing, shortness of breath (at rest or following exercise), and symptomatic improvement following short acting bronchodilator . Patients were included and considered steroid naïve if they reported no use of inhaled corticosteroid (ICS) in the past 8 weeks, or considered steroid treated if they have reported compliance with prescribed ICS therapy based on NAEPP (National Asthma Education and Prevention Program) guidelines over the previous 8 weeks. Patients were excluded from the study if they had any other heart or lung disease, any smoking within the past five years, or they were ICS treated for less than 8 weeks. Short and long acting β2 agonists were withheld for 12 hours prior to the study. Additionally, twenty-one non-asthmatic non-atopic children were enrolled in the study. Each subject and their guardian completed the informed consent documents which had been approved by the University of California, Irvine and CHOC Institutional Review Boards.
Asthma symptoms were quantified using the validated Asthma Control Test (ACT) for children (age 6 - 11 years)  and adults (age 12 - 17 years) . Retrospective data on asthma risk factors were collected by the physician. These included severe attacks (exacerbation requiring increased use of albuterol and short-term oral corticosteroids when available), emergency department visits, or hospitalizations within the preceding 8 weeks. Skin prick tests for common allergens (cat, dog, feathers, cockroach, dust mites, mold, weeds, trees and grasses) were performed, and the participant was considered atopic if positive to at least one antigen.
The eNO measurements at multiple flows (50 ml/s, 100 ml/s and 200 ml/s; NIOX Flex, Aerocrine Ltd, Stockholm, Sweden) were performed prior to the pre-bronchodilator spirometric maneuver. eNO measurements at all three flows were performed in triplicate in accordance with ATS guidelines , and the order of the nine maneuvers randomized. The physicians did not have access to eNO data at any time; hence clinical management was based solely on history and spirometry.
Standard spirometry was performed (WinDx Spirometer, Creative Biomedics International, CA) in accordance with ATS criteria . To determine the bronchodilator response (BDR), albuterol (180 mcg; 2 puff with spacer) was administered and spirometry was repeated 10 minutes later. The BDR was calculated as the percent change in FEV1 following administration of albuterol.
Calculation of J'awNO and CANO
The average eNO concentration at each flow was calculated following current ATS guidelines . Utilizing a trumpet-shaped model of NO exchange that accounts for axial diffusion , we applied a linear least squares analysis to a plot of the average NO elimination rate (product of average exhaled NO and average flow) versus the average exhalation flow to estimate J'awNO and CANO .
Spearman rank-order correlation was first evaluated among eNO measurements to evaluate the relationships between FENO, J'awNO and CANO, and the asthmatic subjects were further categorized into four categories based on J'awNO and CANO. Clinical features were compared among the four categories and with the non-asthmatic controls using the Kruskal-Wallis test and the Mantel-Haenszel chi-square test. For variables with significant differences among the groups, paired comparisons were applied with Bonferroni's multiple comparison adjustment. Data are reported using median and range (minimum-maximum), or number of subjects and proportion. Significance level was set at 0.05, and analysis was performed using SAS 9 (Cary, NC).
Clinical data and risk factors for the exhaled nitric oxide categories
(n = 179)
(n = 21)
Normal Nitric Oxide
(n = 67)
Proximal Airway Predominant
(n = 66)
Proximal and Distal Airway Predominant
(n = 27)
Distal Airway Predominant
(n = 19)
Paired comparison result$
III<I, II, IV
EXHALED NITRIC OXIDE
II, III>NC, I, IV
II, III>NC, I, IV
III, IV>NC, I, II
CONTROL and MORBIDITY
[n = 167]
[n = 13]
[n = 63]
[n = 60]
[n = 26]
[n = 18]
III>NC, I, IV
III, IV<I, II
FENO,50, J'awNO, and CANO in non-asthmatic control group
In the non-asthmatic non-atopic children, the median and range of FENO,50, J'awNO and CANO were found to be 8.5 (2.2-15.3), 0.67 (0.13 - 1.44) nl/s, and 1.47 (0.1 - 2.23) ppb, respectively (Table 1). Based on this distribution, and rounding up the maximum value to two significant digits produces a conservative estimate of a threshold for elevated FENO,50, proximal airway NO, and distal airway/alveolar NO: FENO,50 ≥ 16 ppb, J'awNO ≥ 1.5 nl/s and CANO ≥ 2.3 ppb. The results for J'awNO and CANO are similar to the findings of other reports using the two compartment model  to partition exhaled NO in non-asthmatic children when axial diffusion is considered [5, 40].
Correlations among FENO and regional nitric oxide parameters
In the asthmatic subjects, J'awNO is strongly correlated with FENO,50 (r = 0.99), FENO,100 (r = 0.93) and FENO,200 (r = 0.95). CANO is not correlated with FENO,50 (r = 0.09) or FENO,100 (r = 0.11). At the highest flow of 200 ml/s, the contribution of the proximal airways is reduced, but CANO is only very weakly correlated (r = 0.23) with FENO,200.
Exhaled nitric oxide (eNO) categories
Type I: J'awNO and CANO not elevated; n = 67, (37%)
Type II: elevated J'awNO; n = 66, (37%)
Type III: elevated J'awNO and elevated CANO; n = 27, (15%)
Type IV: elevated CANO; n = 19, (11%)
There were no gender or age differences amongst the four eNO categories and the non-asthmatic controls (Table 1). The proportion of atopic subjects was significantly different between the groups (p = 0.0001, Table 1), where Type II had significantly higher rates compared to Type I and Type IV.
Based on patient history, inhaled corticosteroid (ICS) naïve was defined as no oral or ICS within the last 8 weeks and ICS treated was defined as prescribed ICS treatment for at least 8 weeks. Significant differences (p < 0.0001, Table 1) existed between the eNO categories with respect to ICS use. The proportion of subjects who were ICS treated was significantly less in Type III when compared to the other eNO categories and was significantly less in Type II compared to Type I.
As defined above, J'awNO was elevated in Type II [3.0 (1.6-17.0) nl/s] and Type III [3.5 (1.5-13.7) nl/s] but not in non-asthmatic controls [0.7 (0.1-1.4) nl/s], Type I [0.7 (0.1-1.5) nl/s] and Type IV [0.5 (0.1-1.3) nl/s]. There was no difference in J'awNO between Type II and Type III. Details are summarized in Table 1.
Also, by design, CANO was elevated in Type III [3.8 (2.4-13.4) ppb] and Type IV [3.1 (2.3-5.1) ppb] but not in non-asthmatic controls [1.5 (0.1-2.2) ppb], Type I [1.0 (0.006-2.3) ppb] and Type II [0.8 (0.02-2.2) ppb] (Table 1). Furthermore, CANO was found to be significantly (p = 0.02) greater in Type III when compared to Type IV.
Since FENO,50 was strongly correlated with J'awNO, FENO,50 was significantly elevated in Type II [33.4 (17.7-186.2) ppb] and Type III [49.9 (22.3-158.9) ppb] when compared to non-asthmatic controls [8.5 (2.2-15.3) ppb], Type I [9.4 (3.7-18.4) ppb] and Type IV [8.5 (4.6-16.9) ppb] (Table 1). However, it was also found that FENO,50 was significantly higher in Type III than Type II.
Clinical patterns of eNO categories
There were significant differences in FEV1/FVC ratio (p = 0.0016), where Type III [83.3 (72-100.1)] was lower than non-asthmatic controls [89.6 (84.5-102.1)] and Type I [89.4 (71.7-100)]. However, the median FEV1/FVC for Type III was within normal limits based on NHLBI/NAEPP guidelines . With regards to FEV1/FVC < 80%, there were approximately 4%, 18%, 22% and 0% for Types I to IV, respectively. There were no significant differences in FEV1 (% predicted) amongst the four eNO categories and the non-asthmatic controls (Table 1).
The BDR was performed in 180 subjects and was found to be significantly different (p < 0.0001, Table 1) amongst the five groups. The BDR in Type III was found to be significantly greater than non-asthmatic controls, Type I, and Type IV. Furthermore, the BDR in Type II was significantly greater than Type I.
The ACT score was significantly different (p < 0.0001, Table 1) amongst the eNO categories. The ACT scores in Type III and Type IV were significantly lower compared to Type I and Type II. Over 80% of Type I and Type II had an ACT score > 19, indicative of good asthma control; while 78% of Type III and 90% of Type IV had and ACT score ≤ 19, indicative of poor asthma control.
The retrospective asthma risk factors (severe attacks, emergency department visits, and hospitalizations) were defined as any event during the last eight weeks (Table 1). There were significant differences amongst the eNO categories in the proportion of children with at least one asthma morbidity event (p < 0.0001, Table 1). Multiple comparison adjustment demonstrated that the frequency of morbidity events was significantly greater in Type III and Type IV when compared to Type II.
Our study has demonstrated that proximal airway (J'awNO) and distal airway/alveolar NO (CANO) are not correlated in children with generally mild well-controlled asthma, thus allowing identification of four distinct eNO categories: Type I (normal nitric oxide), Type II (proximal airway predominant), Type III (proximal and distal airway predominant) and Type IV (distal airway predominant). Our main finding is that eNO categories with increased CANO (i.e., Type III and Type IV) have much worse asthma control and morbidity (Table 1), despite different rates of ICS treatment, atopy, baseline spirometry, and BDR. Together, these findings support the presence of distinct inflammatory categories based on regional eNO, and suggest that distal NO (CANO) may be a more clinically sensitive, objective measure of asthma control compared to spirometry and proximal NO (FENO,50, J'awNO).
Inflammatory categories in asthma
Traditionally, asthma has been grouped into two categories on the basis of etiology : intrinsic and extrinsic. More recently, management guidelines have stratified asthma on the basis of severity . However, the severity classification scheme does not consider the degree of airway inflammation, a factor which could improve clinical management [42, 43]. There are only a few reports which utilize inflammatory patterns to characterize adult asthma [44–46] and none to the best of our knowledge, describe inflammatory categories in pediatric asthma. The idea of stratifying asthma based on inflammatory patterns was first presented by Wenzel et al. in 1999 ; severe asthmatics were divided into two subtypes based on the presence or absence of eosinophils in the bronchial biopsy specimen. In a 2006 study by Simpson et al. , the asthmatics were segregated into four inflammatory subtypes using induced sputum eosinophil and neutrophils counts. More recently, a 2009 study by Nadif et al.  demonstrated that blood eosinophil and neutrophil counts can be used to characterize adult asthma. However, these methods are more invasive in nature, more challenging to perform in children, and may not be ideally suited for the serial monitoring of asthmatic subjects. The current data suggest a relatively simple approach for non-invasively gauging information about the location and extent of inflammation in the asthmatic lung.
Clinical patterns of the eNO categories
Normal Nitric Oxide
Proximal Airway Predominant
Proximal and Distal Airway Predominant
Distal Airway Predominant
EXHALED NITRIC OXIDE
FENO,50 (ppb) #
THERAPY AND ATOPY
BDR > 10%
CONTROL and RISK
ACT ≤ 19
Proximal versus distal airway inflammation
Our observation that J'awNO is strongly related to FENO,50 indicates that an exhalation flow of 50 ml/s is low enough such that FENO,50 is dominated by the proximal airway contribution, and partitioning the exhaled NO signal to estimate J'awNO provides no additional information. Therefore, to characterize the inflammatory status of the proximal lung FENO,50 is sufficient. However, even though the distal airway/alveolar concentration is a greater fraction of FENO at higher flows, it remains very small, and FENO,200 is only very weakly correlated with CANO; hence, the exhaled NO signal must be partitioned using a mathematical model to estimate the much smaller concentration of CANO. Our observation that J'awNO and CANO are not correlated indicates they provide independent information regarding region specific NO. Of note is the confounding role of axial diffusion of NO which has been demonstrated in both healthy adults [37, 47–49] and those with stable asthma), but not in active asthma; if axial diffusion of NO is not considered in our data set, then a strong positive relationship (r = 0.71) is observed between J'awNO and CANO. In other words, a significant proximal airway source can contaminate the distal airway/alveolar region via axial (or "back") diffusion leading to an artificial elevation in CANO and an erroneous positive correlation.
Proximal airway NO (FENO,50 and J'awNO) has not been consistently associated with asthma control or a predictor of exacerbation [20–23]. One possibility for these findings is the confounding influences of ICS therapy and atopy, both of which strongly impact proximal airway NO [5, 12, 51–53]. For example, Paraskakis et. al  has demonstrated that FENO,50 is no different between asthmatic and atopic non-asthmatic children. In our categories, FENO,50 (and J'awNO) progressively increased between Types I, II, and III (9.4, 33.4, 49.9 ppb) as the proportion of subjects on ICS decreased (79%, 56%, 18%), respectively. Type IV asthmatics do not follow this trend (79% and 8.5 ppb, respectively). This observation is likely due to the peripheral (small airway/alveolar) nature of the inflammation which is not targeted by ICS.
In contrast, several different groups have reported clinically relevant observations regarding CANO and asthma control [5, 6, 31–33]. For example, increased levels of CANO have been reported in asthmatics with nocturnal symptoms , asthmatics with poor control (based on bronchodilator use)  or refractory to ICS treatment , as well as a predictor of asthma exacerbation . These observations are consistent with our results of poor control in children with elevated CANO (Types III and IV comprising 26% of our population). The association between poor asthma control and elevated CANO is likely due to the presence of inflammation in the distal lung which can contribute to airflow limitation [2–4]. However, our data, as well as data in the literature, also demonstrate that that CANO is much less dependent on confounding influences of ICS therapy and atopy compared to J'awNO or FENO,50. Paraskakis et. al  studied a group of more severe steroid-treated asthmatic children, and reported that CANO was elevated in the children with poorly controlled asthma, but not in atopic non-asthmatic controls. Although our patient population represented relatively mild asthmatic children, we observed that the rate of atopy and ICS therapy differed amongst the eNO categories, but neither was related to asthma control (e.g., rate of atopy was highest in the well-controlled Type II and rate of ICS highest in poorly controlled Type IV and well-controlled Type I).
Although ICS therapy does not appear to impact CANO, nor improve control in asthmatic children with elevated CANO, reports in the literature demonstrate that CANO and asthma control do respond to systemic medications, namely oral corticosteroids [32, 54] and leukotriene receptor antagonists . Together, these results suggest that proximal airway and distal airway/alveolar NO respond differently to treatment, and thus may be of clinical utility . However, well-designed longitudinal studies are necessary to determine appropriate therapeutic options for achieving asthma control in children with elevated CANO.
Our pediatric population was predominately Hispanic (95%). Ethnicity may impact response to asthma medications due to genetic differences in cellular receptors , and thus our results may not apply to other ethnic groups. Approximately 10% of the asthmatic subjects did not fit the two compartment model of NO exchange in the lungs. However, the model was successfully applied in all of the non-asthmatic subjects. These results are similar to the findings of Paraskakis et al. , and may be related to heterogeneous ventilation and inflammation patterns in some asthmatic subjects . Finally, we enrolled subjects independent of inhaled corticosteroid use which allowed us to evaluate the differential effect of ICS therapy on proximal and distal eNO and the relationship to asthma control.
In summary, we propose a novel method for non-invasively categorizing asthma based on region specific NO parameters J'awNO and CANO. We have shown that J'awNO and CANO can be selectively elevated in asthma, permitting identification of four eNO categories with distinct clinical patterns. The categories characterized by increased CANO (Types III and IV) have much worse (but similar to each other) asthma control and morbidity, despite significantly different rates of ICS therapy, atopy, baseline spirometry and BDR. Hence, our preliminary observations in a mobile asthma clinic setting, suggest that categorizing asthma using proximal and distal NO may be clinically useful, both in terms of feasibility and management of asthma control. For example, our data suggest that Type III and Type IV asthmatics may not achieve good asthma control with standard ICS therapy. Future studies must address the dynamic (i.e., longitudinal) nature of the categories with regards to therapy and disease progression, the relationship to other inflammatory indices such as cells in the sputum, blood or bronchial biopsy, whether this categorization strategy is relevant in maintaining asthma control and reducing asthma morbidity, and the role of axial diffusion of NO in active asthma. Nonetheless, these results suggest that not one (i.e., FENO,50), but all aspects of eNO may be important in the management of asthma, and that partitioning eNO to determine CANOmay significantly improve the clinical relevance of the eNO signal.
This work was supported by a grant from the National Institutes of Health (R01 HL070645) and the Children's Hospital of Orange County.
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