Ventilation heterogeneity is associated with airway responsiveness in asthma but not COPD.

Airway hyperresponsiveness (AHR) occurs in both asthma and COPD. In older people with asthma, AHR is associated with increased acinar ventilation heterogeneity, but it is unknown if this association exists in COPD. Thirty one COPD and 19 age-matched asthmatic subjects had measures of spirometry, lung volumes, exhaled nitric oxide, ventilation heterogeneity, and methacholine challenge. Indices of acinar (Sacin) and conducting (Scond) airway ventilation heterogeneity were calculated from the multiple breath nitrogen washout. Predictors of AHR were then determined. In COPD, AHR was predicted by lower Sacin and lower FVC (model r(2)=0.35, p=0.001). In asthma, AHR was predicted by higher Sacin and higher residual volume (model r(2)=0.62, p<0.001). These findings suggest that airway responsiveness in COPD and asthma is determined by underlying disease-specific processes, rather than a common pattern of physiological abnormality.

The role of the small airways in the clinical expression of asthma in adults.

BACKGROUND: The clinical relevance of increased ventilation heterogeneity, a marker of small-airways disease, in asthmatic patients is unclear. Ventilation heterogeneity is an independent determinant of airway hyperresponsiveness (AHR), improves with bronchodilators and inhaled corticosteroids (ICSs), and worsens during exacerbations, but its relationship to asthma control is unknown. OBJECTIVE: We sought to determine the association between ventilation heterogeneity and current asthma control before and after ICS treatment. METHODS: Adult subjects with asthma had lung function and asthma control (5-item Asthma Control Questionnaire [ACQ-5 score] ≥1.5 = poorly controlled, ACQ-5 score ≤0.75 = well controlled) measured at baseline. A subgroup with AHR had repeat measurements after 3 months of high-dose ICS treatment. The indices of ventilation heterogeneity in the regions of the lung where gas transport occurs predominantly through convection (ventilation heterogeneity in convection-dependent airways [Scond]) and through diffusion (ventilation heterogeneity in diffusion-dependent airways [Sacin]) were derived by using the multiple-breath nitrogen washout technique. RESULTS: At baseline (n = 105), subjects with poorly controlled asthma had worse FEV(1), fraction of exhaled nitric oxide measured at 200 mL/s (Feno), Scond, and Sacin values. In the treatment group (n = 50) spirometric, Feno, residual volume (RV)/total lung capacity (TLC), AHR, and Scond values significantly improved. Asthma control also improved (mean ACQ-5 score, 1.3-0.7; P < .0001). The change in ACQ-5 score correlated with changes in Feno (r(s) = 0.31, P = .03), Sacin (r(s) = 0.32, P = .02), and Scond (r(s) = 0.41, P = .003) values. The independent predictors of a change in asthma control were changes in Scond and Sacin values (model r(2) = 0.20, P = .005). CONCLUSIONS: Current asthma control is associated with markers of small-airways disease. Improvements in ventilation heterogeneity with anti-inflammatory therapy are associated with improvements in symptoms. Sensitive measures of small-airway function might be useful in monitoring the response to therapy in asthmatic subjects.

The effect of airway remodelling on airway hyper-responsiveness in asthma.

RATIONALE: The mechanisms of airway hyper-responsiveness are only partially understood and the contribution of airway remodelling is unknown. Airway remodelling can be assessed by measuring airway distensibility, which is reduced in asthma, even when lung function is normal. We hypothesised that airway remodelling contributes to airway hyper-responsiveness in asthma, independent of steroid-responsive airway inflammation. OBJECTIVES: To determine the relationship between airway distensibility and airway responsiveness at baseline and after 12 weeks of inhaled corticosteroid therapy in a group of asthmatics with airway hyper-responsiveness. METHODS: Nineteen doctor-diagnosed asthmatics had airway distensibility measured as the slope of the relationship between conductance and lung volume by the forced oscillation technique. Lung function, exhaled nitric oxide and methacholine challenge were also measured. Subjects had inhaled corticosteroid therapy for 12 weeks after which all measurements were repeated. RESULTS: At baseline, airway distensibility (mean, 95%CI) was 0.19(0.14-0.23) cm H(2)O(-1)s(-1), exhaled nitric oxide was 13.1(10.3-16.6)ppb and airway distensibility correlated with eNO (p=0.04) and disease duration (p=0.02) but not with airway responsiveness (p=0.46), FEV(1) (p=0.09) or age (p=0.23). After treatment, exhaled nitric oxide decreased (p=0.0002), FEV(1) improved (p=0.0001), airway responsiveness improved (p=0.0002), and there was a small improvement in airway distensibility but it did not normalise (p=0.05). Airway distensibility was not correlated with either exhaled nitric oxide (p=0.49) or airway responsiveness (p=0.20). CONCLUSIONS: Uncontrolled airway inflammation causes a small decrease in the distensibility of the airways of asthmatics with airway hyper-responsiveness. The lack of association between airway responsiveness and airway distensibility, both before and after 12 weeks ICS treatment, suggests that airway remodelling does not contribute to airway hyper-responsiveness in asthma.

Predictors of airway hyperresponsiveness differ between old and young patients with asthma.

BACKGROUND: Age-related increases in morbidity and mortality due to asthma may be due to changes in pathophysiology as patients with asthma get older. There is limited knowledge about the effects of age on the predictors of airway hyperresponsiveness (AHR), a key feature of asthma. The aim of this study was to determine if the pathophysiologic predictors of AHR, including inflammation, ventilation heterogeneity, and airway closure, differed between young and old patients with asthma. METHODS: Sixty-one young (18-46 years) and 43 old (50-80 years) patients with asthma had lung function, lung volumes, fraction of exhaled nitric oxide, ventilation heterogeneity, and airway responsiveness to methacholine measured. Airway response to methacholine was measured by the dose-response slope, as the percent fall in FEV(1) per micromole of methacholine. Indices of ventilation heterogeneity were calculated for convection-dependent and diffusion-dependent airways. RESULTS: In young patients with asthma, the independent predictors of AHR were convection-dependent ventilation heterogeneity, exhaled nitric oxide, and % predicted FEV(1)/FVC (model r(2) = 0.51, P < .0001). In old patients with asthma, the independent predictors of airway responsiveness were % predicted residual volume, diffusion-dependent ventilation heterogeneity, and % predicted FEV(1) (model r(2) = 0.57, P < .0001). CONCLUSIONS: In old patients with asthma, AHR is predicted by gas trapping and ventilation heterogeneity in peripheral, diffusion-dependent airways. In the young, it is predicted by ventilation heterogeneity in less peripheral conducting airways and by inflammation. These findings suggest that there are differences in the pathophysiologic determinants of AHR between young and old patients with asthma.

Obesity is a determinant of asthma control independent of inflammation and lung mechanics.

BACKGROUND: It is unclear why obesity is associated with worse asthma control. We hypothesized that (1) obesity affects asthma control independent of spirometry, airway inflammation, and airway hyperresponsiveness (AHR) and (2) residual symptoms after resolution of inflammation are due to obesity-related changes in lung mechanics. METHODS: Forty-nine subjects with asthma underwent the following tests, before and after 3 months of high-dose inhaled corticosteroid (ICS) treatment: five-item asthma control questionnaire (ACQ-5), spirometry, fraction of exhaled nitric oxide (Feno), methacholine challenge, and the forced oscillation technique, which allows for the calculation of respiratory system resistance (Rrs) and respiratory system reactance (Xrs) as indicators of airway caliber and elastic load, respectively. The effects of treatment were assessed by BMI group (18.5-24.9, 25-29.9, and ≥ 30 kg/m²) using analysis of variance. Multiple regression analyses determined the independent predictors of ACQ-5 results. RESULTS: At baseline, the independent predictors of ACQ-5 results were FEV(1), Feno, and BMI (model r² = 0.38, P < .001). After treatment, asthma control, spirometry, airway inflammation, and AHR improved similarly across BMI groups. The independent predictors of ACQ-5 results after treatment were Rrs and BMI (model r² = 0.42, P < .001). CONCLUSIONS: BMI is a determinant of asthma control independent of airway inflammation, lung function, and AHR. After ICS treatment, BMI again predicts ACQ-5 results, but independent of obesity-related changes in lung mechanics.