Literature DB >> 30454050

Heterogeneous burden of lung disease in smokers with borderline airflow obstruction.

Cheryl S Pirozzi1, Tian Gu2, Pedro M Quibrera3, Elizabeth E Carretta3, MeiLan K Han4, Susan Murray2, Christopher B Cooper5, Donald P Tashkin5, Eric C Kleerup5, Igor Barjaktarevic5, Eric A Hoffman6, Carlos H Martinez2, Stephanie A Christenson7, Nadia N Hansel8, R Graham Barr9, Eugene R Bleecker10, Victor E Ortega11, Fernando J Martinez12, Richard E Kanner13, Robert Paine13,14.   

Abstract

BACKGROUND: The identification of smoking-related lung disease in current and former smokers with normal FEV1 is complex, leading to debate regarding using a ratio of forced expiratory volume in 1 s to forced vital capacity (FEV1/FVC) of less than 0.70 versus the predicted lower limit of normal (LLN) for diagnosis of airflow obstruction. We hypothesized that the discordant group of ever-smokers with FEV1/FVC between the LLN and 0.70 is heterogeneous, and aimed to characterize the burden of smoking-related lung disease in this group.
METHODS: We compared spirometry, chest CT characteristics, and symptoms between 161 ever-smokers in the discordant group and 940 ever-smokers and 190 never-smokers with normal FEV1 and FEV1/FVC > 0.70 in the SPIROMICS cohort. We also estimated sensitivity and specificity for diagnosing objective radiographic evidence of chronic obstructive pulmonary disease (COPD) using different FEV1/FVC criteria thresholds.
RESULTS: The discordant group had more CT defined emphysema and non-emphysematous gas trapping, lower post-bronchodilator FEV1 and FEF25-75, and higher respiratory medication use compared with the other two groups. Within the discordant group, 44% had radiographic CT evidence of either emphysema or non-emphysematous gas trapping; an FEV1/FVC threshold of 0.70 has greater sensitivity but lower specificity compared with LLN for identifying individuals with CT abnormality.
CONCLUSIONS: Ever-smokers with normal FEV1 and FEV1/FVC <  0.70 but > LLN are a heterogeneous group that includes significant numbers of individuals with and without radiographic evidence of smoking-related lung disease. These findings emphasize the limitations of diagnosing COPD based on spirometric criteria alone.

Entities:  

Keywords:  Airway obstruction; Chronic obstructive pulmonary disease; Emphysema; Forced expiratory volume; Maximal Midexpiratory flow rate; Pulmonary function tests; Spirometry

Mesh:

Year:  2018        PMID: 30454050      PMCID: PMC6245799          DOI: 10.1186/s12931-018-0911-z

Source DB:  PubMed          Journal:  Respir Res        ISSN: 1465-9921


Background

Airflow obstruction is a hallmark of chronic obstructive pulmonary disease (COPD), and by current recommendations [1] is confirmed by a reduced ratio of forced expiratory volume in 1 s (FEV1) to forced vital capacity (FVC). To simplify the diagnosis of airflow obstruction, a fixed cut-off ratio of FEV1/FVC (FEV1/FVC <  0.70) is often used instead of predicted lower limit of normal (LLN) (FEV1/FVC < LLN), defined as the lower fifth percentile of a reference population. [2, 3] Because the predicted normal FEV1/FVC declines with age, a fixed cut-off ratio of FEV1/FVC <  0.70 has the potential for misclassification and over diagnosis in the elderly, [4-10] while using predicted LLN may better predict adverse clinical outcomes [11] and more accurately predict all-cause mortality. [4] Although there is a group of younger individuals for whom LLN is > 0.7, a particular challenge is presented by subjects who fall in a “discordant” group with FEV1/FVC ratio > LLN but < 0.7. Compared to subjects with FEV1/FVC > 0.70, the individuals in this discordant group have been found to have greater emphysema, airway wall thickening, and gas trapping, as well as greater risk for chronic obstructive pulmonary disease (COPD)-related hospitalization, emergency department visits, and mortality [12-16]. There has been recent interest in characterizing patients with mild smoking-related lung disease as evidenced by symptoms and radiographic abnormalities despite normal spirometry, [17, 18] highlighting the limitations of using spirometric criteria alone for diagnosis of COPD. We hypothesized that the discordant group of ever-smokers with FEV1/FVC between the LLN and 0.70 is heterogeneous, containing some individuals with smoking-related lung disease and some with changes in lung function related to aging. We address this hypothesis by characterizing clinical, radiographic and physiologic features of ever-smokers in this discordant group and comparing them with the group of individuals with FEV1/FVC > 0.70.1

Methods

SPIROMICS study methods

SPIROMICS is a multicenter prospective cohort study that has enrolled 2981 participants including never-smokers, smokers without airway obstruction and smokers with mild, moderate and severe COPD, with the goals of identifying new COPD subgroups and intermediate markers of disease progression [19]. Participants were 40–80 years old at baseline. “Smokers” were defined as current or former smokers with lifetime smoking history of greater than 20 pack-years. The study design and exclusion criteria have previously been described [19]. The research protocol was approved by the institutional review boards of all participating institutions and all participants gave written informed consent.

Subjects and measure of exposure

We analyzed data for three groups of subjects included in SPIROMICS: Group 1) current or former smokers (ever-smokers) with normal post-bronchodilator FEV1 and FEV1/FVC > LLN but < 0.70 (discordant group, n = 161); Group 2) ever-smokers with normal FEV1 and FEV1/FVC > 0.70 (n = 940); and Group 3) never-smokers with normal FEV1 and FEV1/FVC > 0.70 (n = 190). In a supplementary analysis we also compared outcomes with a Group 4) patients with FEV1/FVC in the 75% quartile of those less than LLN (n = 379).

Pulmonary function methods

Pulmonary function testing was performed and interpreted according to the 2005 ATS/ERS guidelines; post-bronchodilator spirometric measurements were used for analysis [20, 21]. NHANES III spirometric references values were used to calculate percent predicted values and LLN [22].

Outcomes

We compared respiratory symptoms, quality of life, medication use, CT metrics, FEV1% predicted, forced expiratory flow rate between 25 and 75% of FVC or maximum mid-expiratory flow (FEF25–75), 6 min walk distance (6MWD), and two prospective variables: annual FEV1 change and exacerbation rate, between the three groups. Chronic bronchitis was defined as patient reported cough with sputum for at least 3 months for ≥2 years. Dyspnea was defined by the modified Medical Research Council (mMRC) dyspnea score, [23] stratified into two groups as mMRC ≥2 (moderate or severe dyspnea) vs mMRC 0–1 (mild or no dyspnea). Respiratory symptoms were also measured by the COPD Assessment Test (CAT) [24]. Quality of life was measured by the St. George’s Respiratory Questionnaire (SGRQ) [25]. Medication use was defined as patient-reported regular use of inhaled bronchodilators and/or inhaled steroid. Annual FEV1 change was defined using a regression model that incorporated the total number of study visits and spirometry measurements available for each participant. Each participant had a minimum of two spirometry measurements at least 200 days apart, with follow up ranging from 266 to 1749 days. Exacerbation rate was measured as the number of patient-reported events requiring health care utilization in the first year after study enrollment. Multidetector-row computed tomography (MDCT) scans at full inspiration and full expiration were performed at the SPIROMICS baseline visit. Emphysema was defined using a threshold of <− 950 Hounsfield Units on full inspiration. Airway wall thickening was defined as the square root of the airway wall area for a standardized airway with an internal perimeter of 10 mm (Pi10) [26]. Parametric Response Mapping (PRM) was used to define functional small airways disease (fSAD), a measure of non-emphysematous gas trapping, as the percent of voxels with CT attenuation values > − 950 HU on the inspiratory exam and < − 856 HU on the expiratory scan, as previously described [27] using Imbio Lung Density software (Imbio, Minneapolis, MN).

Statistical analysis

Comparisons of categorical predictors across groups 1, 2 and 3 used chi-squared tests. For continuous variables, ANOVA was used to test for overall differences between the 3 groups; pairwise comparisons of continuous outcomes between any two groups were based on t-tests. [28] Multivariable linear regression was used to compare continuous measures (emphysema, fSAD, CT metrics, 6MWD, CAT score, quality of life, FEV1, and FEF25–75) between groups, adjusted for age, sex, race, smoking history (pack-years) and current smoking (yes/no). Multivariable logistic regression was used to compare binary clinical outcomes (emphysema present, fSAD present, chronic bronchitis, mMRC Dyspnea, and medication use) adjusted for the same patient characteristics described above. Quantile regression models [29] applied to healthy never -smokers estimated the 95th percentile for PRM emphysema and, separately, the 95th percentile for PRM fSAD for a normal patient based on their age, sex, BMI and the scanner used. Hereafter, these estimated 95th percentiles will be used to define the upper limit of normal (ULN) for these PRM measures according to patient/scanner characteristics. Presence of emphysema or fSAD was defined when an individual’s observed PRM emphysema percent or PRM fSAD percent was greater than the estimated ULN for a normal patient with similar patient/scanner characteristics. Sensitivity and specificity of each FEV1/FVC cut-off for identifying individuals with radiographic CT evidence of smoking-related lung disease manifest as either emphysema and/or fSAD were estimated.

Results

We compared the discordant group (Group 1) with ever-smokers with normal spirometry (Group 2) and never-smokers (Group 3). The characteristics of the three groups are shown in Table 1. The discordant group had more male and white participants and was older than the other two groups.
Table 1

Baseline characteristics for the three groups

VariableGroup 1Ever-smokers, Normal FEV1,\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ \frac{\mathrm{FEV}1}{\mathrm{FVC}} $$\end{document}FEV1FVC < 0.7 and > LLN(Discordant Group) (n = 161)Group 2Ever-smokers, Normal FEV1,\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ \frac{\mathrm{FEV}1}{\mathrm{FVC}} $$\end{document}FEV1FVC>  0.7(n = 940)Group 3Never-smokers, Normal FEV1,\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ \frac{\mathrm{FEV}1}{\mathrm{FVC}} $$\end{document}FEV1FVC>  0.7(n = 190)P-value
Sex (% male)70.8%49.0%37.9%< 0.001*
Race (% white)89.4%68.2%70.7%< 0.001*
Current smoker (%)32.5%50.0%0%< 0.001*
Age (mean ± SD)69.3 ± 6.460.4 ± 9.756.6 ± 10.2< 0.001
Smoking history in pack-years (mean ± SD)48.3 ± 22.243.1 ± 27.3Not Applicable0.0

*Chi-Square test

†ANOVA

‡t-test

Baseline characteristics for the three groups *Chi-Square test †ANOVA ‡t-test Compared with ever-smokers with FEV1/FVC > 0.70 (Group 2), the discordant individuals (Group 1) had lower post-bronchodilator FEV1% predicted (92.1% vs 97.5%, p <  0.001) and reduced FEF25–75% predicted (61.2% vs 102.3%, p <  0.001) (Table 2, Fig. 1). The two groups of ever-smokers did not differ significantly in 6MWD (437.5 vs 437.2 m, p = 0.97), SGRQ (22.5 vs 24.2, p = 0.28), or CAT score (10.7 vs 11.3, p = 0.36). More smokers in the discordant group reported regular use of either inhaled corticosteroids and/or bronchodilators than either ever-smokers with FEV1/FVC > 0.70, Group 2, (34.4% vs. 25.1%, p = 0.01) or never-smokers, Group 3 (3.9%, p <  0.001). Groups 1 and 2 did not differ in the reported incidence of chronic bronchitis or moderate or severe dyspnea indicated by mMRC score ≥ 2. Nor did they differ with respect to FEV1 decline per year, or exacerbations per year (Table 2).
Table 2

Comparison of physiologic and clinical variables between ever-smokers with normal FEV1 and FEV1/FVC > LLN but < 0.70 (“discordant” group), ever-smokers with normal FEV1 and FEV1/FVC > 0.70, and never-smokers with normal FEV1 and FEV1/FVC > 0.70

Clinical OutcomeGroup 1Ever-smokers, Normal FEV1,\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ \frac{\mathrm{FEV}1}{\mathrm{FVC}} $$\end{document}FEV1FVC < 0.7 and > LLN (Discordant Group)(n = 161)Group 2Ever-smokers, Normal FEV1,\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ \frac{\mathrm{FEV}1}{\mathrm{FVC}} $$\end{document}FEV1FVC>  0.7 (n = 940)Group 3Never-smokers, Normal FEV1,\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ \frac{\mathrm{FEV}1}{\mathrm{FVC}} $$\end{document}FEV1FVC>  0.7 (n = 190)Overall p-value* Unadjusted (Adjusted)P-values for pairwise comparisons (Unadjusted)
Group 1 vs. 2Group 1 vs. 3Group 2 vs. 3
FEV1% predicted92.1 ± 12.097.5 ± 12.8102.0 ± 11.5<  0.001 (<  0.001)<  0.001<  0.001<  0.001**
FEF25–75% % predicted61.2 ± 11.0102.3 ± 33.4121.3 ± 32.5<  0.001 (<  0.001)<  0.001<  0.001<  0.001**
6MWD (m)437.5 ± 109.6437.2 ± 97.7479.3 ± 103.4<  0.001 (0.49)0.97<  0.001< 0.001**
St George’s Respiratory Questionnaire Total Score22.5 ± 17.424.2 ± 19.18.8 ± 10.0<  0.001 (<  0.001)0.28<  0.001<  0.001**
COPD Assessment Test (CAT)10.7 ± 7.411.3 ± 8.14.7 ± 6.0< 0.001 (<  0.001)0.36< 0.001< 0.001**
Use of either inhaled corticosteroid or bronchodilator34.4%25.1%3.9%< 0.001 (< 0.001)0.01< 0.001< 0.001†
Chronic bronchitis17.3%17.8%2.1%< 0.001 (< 0.001)0.88< 0.001< 0.001†
mMRC Dyspnea score ≥ 2 13.8%13.6%2.7%< 0.001 (0.007)0.95< 0.001< 0.001†
Change in FEV1 (ml/year)− 60.5 ± 120.5−55.2 ± 127.5−41.2 ± 99.70.32(0.94)0.640.170.19**
Exacerbation (#/year)0.1 ± 0.40.1 ± 0.60.02 ± 0.10.02(0.21)0.500.130.006**

Emphysema = % of voxels with CT attenuation <− 950 Hounsfield Units (HU) on full inspiration. Functional small airways disease = % of voxels with CT attenuation > − 950 HU on the inspiratory exam and < − 856 HU on the expiratory scan, as determined via dynamic image registration (Parametric Response Mapping, PRM). Airway thickening = square root of the wall area for a standardized airway with an internal perimeter of 10 mm (Pi10)

*From likelihood ratio test comparing means of 3 groups from multivariable model with outcomes (rows) and group status as predictors adjusted for age, sex, race, smoking history (pack-years) and current smoking

**p-values from 2 sample t-test

†Pairwise p-value form Wald test comparing means of 2 groups

Fig. 1

Box plots demonstrating percent of predicted forced expiratory volume in 1 s (FEV1%), forced expiratory flow rate between 25 and 75% of forced vital capacity (FEF25–75%), percent emphysema, and functional small airways disease by parametric response mapping (fSAD) in the three groups

Comparison of physiologic and clinical variables between ever-smokers with normal FEV1 and FEV1/FVC > LLN but < 0.70 (“discordant” group), ever-smokers with normal FEV1 and FEV1/FVC > 0.70, and never-smokers with normal FEV1 and FEV1/FVC > 0.70 Emphysema = % of voxels with CT attenuation <− 950 Hounsfield Units (HU) on full inspiration. Functional small airways disease = % of voxels with CT attenuation > − 950 HU on the inspiratory exam and < − 856 HU on the expiratory scan, as determined via dynamic image registration (Parametric Response Mapping, PRM). Airway thickening = square root of the wall area for a standardized airway with an internal perimeter of 10 mm (Pi10) *From likelihood ratio test comparing means of 3 groups from multivariable model with outcomes (rows) and group status as predictors adjusted for age, sex, race, smoking history (pack-years) and current smoking **p-values from 2 sample t-test †Pairwise p-value form Wald test comparing means of 2 groups Box plots demonstrating percent of predicted forced expiratory volume in 1 s (FEV1%), forced expiratory flow rate between 25 and 75% of forced vital capacity (FEF25–75%), percent emphysema, and functional small airways disease by parametric response mapping (fSAD) in the three groups The discordant group had a modest but significantly greater percentage of lung with CT scan-defined emphysema than Group 2 (2.1% vs 0.7%, p <  0.001) or Group 3 (0.3%, p <  0.001). Individuals in the discordant group also had significantly increased PRM fSAD as compared to Groups 2 and 3 (18.0% vs. 9.1% and 7.1%, respectively, p <  0.001), without detectable differences in airway thickness (Table 3, Fig. 1). Density plots illustrating the distribution of emphysema and small airways disease are presented in supplementary material (Additional file 1: Figure S1 and Additional file 2: Figure S2).
Table 3

Comparison of CT variables between ever-smokers with normal FEV1 and FEV1/FVC > LLN but < 0.70 (“discordant” group), ever-smokers with normal FEV1 and FEV1/FVC > 0.70, and never-smokers with normal FEV1 and FEV1/FVC > 0.70

VariableGroup 1Ever-smokers, Normal FEV1,\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ \frac{\mathrm{FEV}1}{\mathrm{FVC}} $$\end{document}FEV1FVC < 0.7 and > LLN(Discordant Group) (n = 161)Group 2Ever-smokers, Normal FEV1,\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ \frac{\mathrm{FEV}1}{\mathrm{FVC}} $$\end{document}FEV1FVC>  0.7(n = 940)Group 3Never-smokers, Normal FEV1,\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ \frac{\mathrm{FEV}1}{\mathrm{FVC}} $$\end{document}FEV1FVC>  0.7(n = 190)Overall p-value* from likelihood ratio test comparing association with group statusUnadjusted(Adjusted)P-values for pairwise comparisons (Unadjusted)
Group 1 vs. 2Group 1 vs. 3Group 2 vs. 3
Emphysema (%)2.1 ± 2.90.7 ± 2.60.3 ± 0.9< 0.001(<  0.001)<  0.001<  0.001<  0.001**
Functional small airways disease (%)18.0 ± 10.69.1 ± 10.07.1 ± 8.3< 0.001(<  0.001)<  0.001<  0.001<  0.001**
Airway wall thickening (Pi10)3.70 ± 0.013.71 ± 0.003.69 ± 0.01< 0.001(0.17)0.410.01< 0.001**
Emphysema present > ULN 38.7%17.4%8.2%< 0.001(< 0.001)< 0.001< 0.0010.004†
CT-defined functional small airway abnormality (fSAD) present > ULN 15.3%7.8%2.9%< 0.001(0.03)0.003< 0.0010.03†
Either emphysema or fSAD present 44%20.7%9.4%< 0.001 (< 0.001)< 0.001< 0.001< 0.001†
Both emphysema and fSAD present 10%4.5%1.8%0.002 (0.23)0.0070.0050.11†

Presence of emphysema = ≥ upper limit of normal (ULN); Presence of fSAD = ≥ upper limit of normal (ULN). Emphysema = % of voxels with CT attenuation <− 950 Hounsfield Units (HU) on full inspiration. Functional small airways disease = % of voxels with CT attenuation > − 950 HU on the inspiratory exam and < − 856 HU on the expiratory scan, as determined via dynamic image registration (Parametric Response Mapping, PRM)

*From likelihood ratio test comparing means of 3 groups from multivariable model with outcomes (rows) and group status as predictors adjusted for age, sex, race, smoking history (pack-years) and current smoking

**P-value from 2 sample t test

†Pairwise p-value form Wald test comparing means of 2 groups

Comparison of CT variables between ever-smokers with normal FEV1 and FEV1/FVC > LLN but < 0.70 (“discordant” group), ever-smokers with normal FEV1 and FEV1/FVC > 0.70, and never-smokers with normal FEV1 and FEV1/FVC > 0.70 Presence of emphysema = ≥ upper limit of normal (ULN); Presence of fSAD = ≥ upper limit of normal (ULN). Emphysema = % of voxels with CT attenuation <− 950 Hounsfield Units (HU) on full inspiration. Functional small airways disease = % of voxels with CT attenuation > − 950 HU on the inspiratory exam and < − 856 HU on the expiratory scan, as determined via dynamic image registration (Parametric Response Mapping, PRM) *From likelihood ratio test comparing means of 3 groups from multivariable model with outcomes (rows) and group status as predictors adjusted for age, sex, race, smoking history (pack-years) and current smoking **P-value from 2 sample t test †Pairwise p-value form Wald test comparing means of 2 groups Using age-adjusted ULN for % emphysema, more individuals in the discordant group met CT criteria for the presence of emphysema compared with Groups 2 and 3 (38.7% vs. 17.4% (p <  0.001) and 8.2% (p <  0.001), respectively). Similarly, using age-adjusted ULN for PRM fSAD, more individuals in the discordant group also met CT criteria for the presence of fSAD compared with Groups 2 and 3 (15.3% vs. 7.8% (p = 0.003) and 2.9% (p <  0.001), respectively). In the discordant group, 44% of subjects had CT evidence of smoking-related lung disease, manifest as either emphysema or fSAD, compared with 20.7% (p <  0.001) of Group 2 and 9.4% (p <  0.001) of Group 3 subjects. Conversely, 56% of individuals in the discordant group had CT scans without radiographic evidence of smoking-related lung disease (Table 3, Fig. 2 , Additional file 3: Figure S3).
Fig. 2

Percent of patients in each group with emphysema and functional small airways disease (fSAD) present greater than the age-adjusted upper limit of normal (ULN) as measured by parametric response mapping (PRM) on chest CT

Percent of patients in each group with emphysema and functional small airways disease (fSAD) present greater than the age-adjusted upper limit of normal (ULN) as measured by parametric response mapping (PRM) on chest CT Within the discordant group, those with CT evidence of smoking-related lung disease did not have significantly greater respiratory symptoms, FEV1 decline, exacerbations, or lower FEF25–75 compared with those without emphysema or fSAD (Table 4).
Table 4

Comparison of prospective FEV1 decline, exacerbation rate and respiratory symptoms between those in the discordant group (Ever-smokers with normal FEV1, FEV1/FVC < 0.70 and > LLN) with CT findings of emphysema or functional small airways disease, and those without

Ever-smokers with normal FEV1, FEV1/FVC < 0.70 and > LLN (discordant group, n = 161)
With fSAD or emphysema (44%)Without fSAD or emphysema (56%)*Adjusted p-valueUnadjusted p-value
Annual change in FEV1 (ml/year)−65.6 ± 113.0−59.8 ± 130.60.260.79
Exacerbation (#/year)0.13 ± 0.420.06 ± 0.240.900.25
COPD Assessment Test (CAT)11.43 ± 7.449.88 ± 7.250.550.22
Chronic bronchitis (%)14.3 ± 35.318.3 ± 38.90.580.52
FEF25–75% % predicted60.0 ± 11.662.2 ± 10.70.870.24

*Multivariate model adjusting for age, gender, race, pack year, and current smoking status

Comparison of prospective FEV1 decline, exacerbation rate and respiratory symptoms between those in the discordant group (Ever-smokers with normal FEV1, FEV1/FVC < 0.70 and > LLN) with CT findings of emphysema or functional small airways disease, and those without *Multivariate model adjusting for age, gender, race, pack year, and current smoking status When compared to a fourth group of smokers with FEV1/FVC in the 75% quartile of those less than LLN, the discordant group had higher FEV1 and FEF25–75%, fewer respiratory symptoms and exacerbations, less airway wall thickness and fewer % of people with fSAD, however did not differ in the amount of emphysema or FEV1 decline (Additional file 4: Tables S1, S2 and S3). A history of smoking had a significant association with symptoms in groups defined by either FEV1/FVC threshold compared to never-smokers. When compared with never-smokers without airflow obstruction, both groups of ever-smokers had more chronic bronchitis, dyspnea, respiratory symptoms as measured by CAT, and lower quality of life by SGRQ (Table 2). Finally, we evaluated the sensitivity and specificity of the two thresholds for FEV1/FVC for identification of individuals with radiographic evidence of smoking-related lung disease (emphysema > age-adjusted ULN and/or PRM fSAD > age-adjusted ULN). A threshold of FEV1/FVC <  0.7 had a sensitivity of 0.85 and specificity of 0.72 for identifying any radiographic abnormality. The FEV1/FVC < LLN threshold had lower calculated sensitivity (0.78) and higher specificity (0.81) (Table 5). Thus the absolute ratio is more sensitive, while the LLN is more specific.
Table 5

Calculated sensitivity and specificity for diagnosis of COPD defined by presence of radiographic CT evidence of smoking related lung disease, with emphysema > age adjusted upper limit of normal and/or functional small airways disease > ULN. N = 2972. LLN = lower limit of normal

Diagnostic criteriaSensitivitySpecificity
FEV1/FVC < 0.70.850.72
FEV1/FVC < LLN0.780.81
Calculated sensitivity and specificity for diagnosis of COPD defined by presence of radiographic CT evidence of smoking related lung disease, with emphysema > age adjusted upper limit of normal and/or functional small airways disease > ULN. N = 2972. LLN = lower limit of normal

Discussion

In the SPIROMICS cohort, current or former smokers with normal FEV1 who are diagnosed with COPD based on GOLD spirometric criteria, but who do not have airflow obstruction based on the LLN threshold, have more emphysema and functional small airways disease by CT, increased use of inhaled medications, and lower mid-expiratory flow compared with current or former smokers without airway obstruction, defined by FEV1/FVC > 0.70. Almost half of individuals in this discordant group have CT evidence of smoking-related lung disease. Nevertheless, the discordant group did not have increased respiratory symptoms (chronic bronchitis, dyspnea, or CAT) or decreased exercise tolerance when compared with individuals with FEV1/FVC ratio > 0.7. We have focused this analysis on individuals in this discordant group for three reasons. First, in reference populations the ratio of FEV1/FVC decreases with advancing age, suggesting that use of a fixed threshold of 0.7 may inappropriately classify some individuals. Second, studies of this population may help elucidate the boundaries of normal aging in the setting of cigarette smoking. Finally, there has been recent interest in the clinical picture of smokers who may have smoking-related lung disease in the setting of little or no airflow obstruction [17, 18]. This study contributes to the discussion in each of these three areas. Our findings support the presence of early/mild disease among individuals in this discordant group and thus provide potential pathophysiologic explanation for previous studies demonstrating increased risk for COPD-related health effects in this group, including increased adjusted risk of death, COPD-related emergency department visits and hospitalizations [13, 15]. These studies suggest that the LLN threshold lacks sensitivity, failing to identify a number of individuals with clinically significant disease. However, because the predicted FEV1/FVC may decline with normal age, using a fixed cut-off ratio of FEV1/FVC <  0.70 increases diagnosis of obstruction in the elderly, and in very old adults has the potential to classify changes associated with aging as COPD [4-9]. In a cohort of adults 80 years and older, airflow obstruction defined by FEV1/FVC < LLN, but not FEV1/FVC between LLN and 0.70, was associated with increased mortality [4]. Similarly, small amounts of emphysema may occur due to aging-related changes rather than as a consequence of early smoking-related disease. In the multiethnic MESA cohort, full-lung CT scans of healthy nonsmokers revealed a small percent of emphysema (median 1.1%) that was increased in men and with age. [30] CT-defined functional small airway abnormality also increases with age [31]. Therefore, the predicted “normal” amount of emphysema and small airways disease increases with aging even in the absence of smoking exposure. An important question is how to distinguish between early/mild COPD and normal aging. In our study we used data from normal individuals to create age-adjusted upper limits of normal for both emphysema and PRM fSAD, suggesting that the CT abnormality we have identified in the discordant group is beyond that associated with normal aging. Our study extends previous findings by including innovative imaging parameters of small airways disease and comparisons with normal lung density [16]. We found significantly reduced FEF25–75% and CT scan evidence of non-emphysematous air trapping in the discordant group. Reduction in mid-expiratory flow is generally assumed to be an indication of small airways disease [32-34]. We did not identify differences in airway wall thickness, manifest as path specific Pi10, associated with our discordant group. However, changes in lumen dimension may mask changes in wall thickening/thinning by this parameter [35]. CT air trapping is also thought to reflect small airways disease and has been associated with lower lung function and accelerated lung function decline [36, 37]. The functional small airways disease measurement using PRM helps to distinguish non-emphysematous air trapping from emphysema on CT [27]. Thus physiologic and CT scan data both point to subtle but potentially clinically important small airways abnormalities in this discordant group. Several studies have suggested that in the natural history of COPD, small airways may become narrowed or lost prior to the onset of emphysema [34, 38–40] and thus these abnormalities may be an earlier indication of smoking-related COPD. We evaluated two prospective variables: exacerbations in the first year after enrollment, and FEV1 decline over a period of up to 4 years. Though we did not detect more FEV1 decline or exacerbations in the discordant group or those with radiographic emphysema or fSAD, exacerbation rate was overall low in these patients with mild smoking-related lung disease. Longer follow up time will enhance our understanding of the significance of these mild radiographic and physiologic abnormalities as predictors of progression to COPD. The choice of a threshold of FEV1/FVC for diagnosing airflow obstruction may depend on the goals of testing and whether a more sensitive or specific test is preferred. In the SPIROMICS cohort, using a FEV1/FVC threshold of 0.70 is more sensitive but less specific for identifying individuals with radiographic manifestations of COPD, while using LLN is more specific but less sensitive. As a screening test for early/mild disease in ever-smokers, a more sensitive test may be preferred. However, identifying airflow obstruction using either FEV1/FVC threshold will incorrectly classify individuals. There are several important features of this study. SPIROMICS is a large multi-center cohort whose subjects are extensively characterized for symptoms, physiology and radiology. MDCT scans performed at baseline allowed detailed assessment of emphysema, air trapping, and airway wall thickness and image analysis by PRM allowed differentiation of non-emphysematous air trapping from emphysema on CT. We recognize several limitations to our study. FEF25–75% is an effort-dependent measurement like FEV1 and we cannot exclude a confounding effect of limited effort or frailty. However, the subjects described in this report all had studies that met ATS criteria and had normal FVC. The specificity statistic is biased because the analysis data set is not a random sample. Additionally, never-smokers with FEV1/FVC <  0.7 were not included in SPIROMICS and thus could not be compared in this analysis.

Conclusions

Ever-smokers who have normal FEV1 and FEV1/FVC <  0.70 but > LLN (discordant group) have on average more emphysema and small airways disease, and increased respiratory medication use compared with those with FEV1/FVC > 0.70. This is a heterogeneous group that includes a large number of individuals with CT evidence of either emphysema or non-emphysematous gas trapping, as well as many individuals without radiographic evidence of early smoking-related lung disease for whom it is likely that normal aging accounts for the apparent spirometric abnormality. The diagnosis of early/mild COPD requires a more sophisticated approach that goes beyond currently accepted spirometric criteria. Table S1. Baseline characteristics for the four groups. Table S2. Comparison of physiologic and clinical variables between ever-smokers with normal FEV1 and FEV1/FVC > LLN but < 0.70 (“discordant” group, Group 1), ever-smokers with normal FEV1 and FEV1/FVC > 0.70 (Group 2), never-smokers with normal FEV1 and FEV1/FVC > 0.70 (Group 3) and ever-smokers with FEV1/FVC ≤ LLN and > 75th quartile (Group 4). Table S3. Comparison of CT variables between ever-smokers with normal FEV1 and FEV1/FVC > LLN but < 0.70 (“discordant” group, Group 1), ever-smokers with normal FEV1 and FEV1/FVC > 0.70 (Group 2), never-smokers with normal FEV1 and FEV1/FVC > 0.70 (Group 3) and ever-smokers with FEV1/FVC ≤ LLN and > 75th quartile (Group 4). (DOCX 100 kb) Figure S1. Density plot of the distribution of emphysema. (PNG 58 kb) Figure S2. Density plot of the distribution of functional small airways disease. (PNG 55 kb) Figure S3. Venn diagram illustrating patients within the discordant group (ever-smokers with normal FEV1 and FEV1/FVC > LLN but < 0.70) who have emphysema, functional small airways disease (fSAD), and both on chest CT imaging. (PDF 34 kb) Heterogeneous Burden of Lung Disease in Smokers with Borderline Airflow Obstruction. (DOCX 73 kb)
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Authors:  James E Hansen; Xing-Guo Sun; Karlman Wasserman
Journal:  Chest       Date:  2007-02       Impact factor: 9.410

2.  The generalisation of student's problems when several different population variances are involved.

Authors:  B L WELCH
Journal:  Biometrika       Date:  1947       Impact factor: 2.445

3.  Spirometric reference values from a sample of the general U.S. population.

Authors:  J L Hankinson; J R Odencrantz; K B Fedan
Journal:  Am J Respir Crit Care Med       Date:  1999-01       Impact factor: 21.405

4.  Simplified diagnosis of small-airway obstruction.

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Journal:  N Engl J Med       Date:  1973-02-22       Impact factor: 91.245

5.  Comparison of spatially matched airways reveals thinner airway walls in COPD. The Multi-Ethnic Study of Atherosclerosis (MESA) COPD Study and the Subpopulations and Intermediate Outcomes in COPD Study (SPIROMICS).

Authors:  Benjamin M Smith; Eric A Hoffman; Dan Rabinowitz; Eugene Bleecker; Stephanie Christenson; David Couper; Kathleen M Donohue; Meilan K Han; Nadia N Hansel; Richard E Kanner; Eric Kleerup; Stephen Rennard; R Graham Barr
Journal:  Thorax       Date:  2014-06-13       Impact factor: 9.139

6.  Phenotype of normal spirometry in an aging population.

Authors:  Carlos A Vaz Fragoso; Gail McAvay; Peter H Van Ness; Richard Casaburi; Robert L Jensen; Neil MacIntyre; Thomas M Gill; H Klar Yaggi; John Concato
Journal:  Am J Respir Crit Care Med       Date:  2015-10-01       Impact factor: 21.405

7.  Clinical and Radiologic Disease in Smokers With Normal Spirometry.

Authors:  Elizabeth A Regan; David A Lynch; Douglas Curran-Everett; Jeffrey L Curtis; John H M Austin; Philippe A Grenier; Hans-Ulrich Kauczor; William C Bailey; Dawn L DeMeo; Richard H Casaburi; Paul Friedman; Edwin J R Van Beek; John E Hokanson; Russell P Bowler; Terri H Beaty; George R Washko; MeiLan K Han; Victor Kim; Song Soo Kim; Kunihiro Yagihashi; Lacey Washington; Charlene E McEvoy; Clint Tanner; David M Mannino; Barry J Make; Edwin K Silverman; James D Crapo
Journal:  JAMA Intern Med       Date:  2015-09       Impact factor: 21.873

8.  Airflow limitation by the Global Lungs Initiative equations in a cohort of very old adults.

Authors:  Eralda Turkeshi; Bert Vaes; Elena Andreeva; Catharina Matheï; Wim Adriaensen; Gijs Van Pottelbergh; Jean-Marie Degryse
Journal:  Eur Respir J       Date:  2015-04-16       Impact factor: 16.671

9.  Comparison of spirometry criteria for the diagnosis of COPD: results from the BOLD study.

Authors:  W M Vollmer; Thorn Gíslason; P Burney; P L Enright; A Gulsvik; A Kocabas; A S Buist
Journal:  Eur Respir J       Date:  2009-05-21       Impact factor: 16.671

10.  Development and first validation of the COPD Assessment Test.

Authors:  P W Jones; G Harding; P Berry; I Wiklund; W-H Chen; N Kline Leidy
Journal:  Eur Respir J       Date:  2009-09       Impact factor: 16.671

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2.  Ratio of FEV1/Slow Vital Capacity of < 0.7 Is Associated With Clinical, Functional, and Radiologic Features of Obstructive Lung Disease in Smokers With Preserved Lung Function.

Authors:  Spyridon Fortis; Alejandro P Comellas; Surya P Bhatt; Eric A Hoffman; MeiLan K Han; Nirav R Bhakta; Robert Paine; Bonnie Ronish; Richard E Kanner; Mark Dransfield; Daniel Hoesterey; Russell G Buhr; R Graham Barr; Brett Dolezal; Victor E Ortega; M Bradley Drummond; Mehrdad Arjomandi; Robert J Kaner; Victor Kim; Jeffrey L Curtis; Russell P Bowler; Fernando Martinez; Wassim W Labaki; Christopher B Cooper; Wanda K O'Neal; Gerald Criner; Nadia N Hansel; Jerry A Krishnan; Prescott Woodruff; David Couper; Donald Tashkin; Igor Barjaktarevic
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