Sex differences of COPD phenotypes in nonsmoking patients.

BACKGROUND: There is growing evidence about sex-related phenotypes of COPD. However, the sex differences in COPD mainly result from smokers. This study evaluated the sex differences in nonsmoking patients with COPD, focusing on structural changes in the lungs in airway diseases and emphysema.
METHODS: Ninety-seven nonsmoking patients, defined as having <1 pack-year of lifetime cigarette smoking, diagnosed with COPD were selected from a Korean COPD cohort. Emphysema extent and mean wall area percentage (WA%) on computed tomography were compared between the male and female groups.
RESULTS: The 97 patients with COPD included 62 females and 35 males. Emphysema index was significantly lower (3.5±4.2 vs 6.2±5.7, P<0.01) and mean WA% on computed tomography was significantly higher (71.8%±5% vs 69.4%±5%, P<0.01) in females than in males, after adjusting for age, body mass index, history of biomass exposure, and postbronchodilator forced expiratory volume in 1 second (% of predicted).
CONCLUSION: WA% was higher and emphysema extent was lower in nonsmoking females with COPD than in nonsmoking males with COPD. These findings suggest that males may be predisposed to an emphysema phenotype and females may be predisposed to an airway phenotype of COPD.

Introduction

Although characterized by irreversible airflow limitation, COPD is a heterogeneous disease presenting with various phenotypes.1,2 This heterogeneity may result from differences in environmental factors and/or genetic background. Because males and females are exposed to different environmental and genetic factors, there may be sex differences in the clinical presentation of COPD. However, the sex differences in COPD mainly result from smokers.

The prevalence of COPD in females is increasing. Several studies report sex-related differences in clinical characteristics of COPD, including in respiratory symptoms, comorbidities, and outcomes of acute exacerbations,3–7 as well as in biomarkers and genetic polymorphisms.8,9 Structural changes in the lungs in airway disease and emphysema also differ in males and females. Advances in computed tomography (CT) have allowed for the quantitative assessment of the extent of airway disease and emphysema. Males were associated with a broader extent of emphysema in relation to the cumulative smoking history,10,11 whereas, among smokers, females had higher wall area percentage (WA%) in anatomically matched airways than males.12

Sex differences in COPD phenotypes may be more complicated because these studies did not clearly differentiate the effects of sex from the effects of cigarette smoking or included mainly smokers. The clinical relevance of sex-related phenotypes in COPD is therefore unclear. Determining sex differences in nonsmokers with COPD may be valuable in determining the presentation and clinical course of COPD. Therefore, this study evaluated sex differences in nonsmoking patients with COPD, focusing on structural changes in the lungs in patients with airway disease and emphysema.

Patients and methods

Patients

This study analyzed 97 patients with COPD, selected from a Korean cohort. The cohort was developed to observe clinical outcomes of COPD patients living near cement plants in Korea, as previously described.13 The cohort recruited patients from 2012 until the end of 2015, with 445 patients recruited till November 2015. Among the 445 patients in the cohort, 335 patients were diagnosed with COPD if they were aged >45 years and had a postbronchodilator forced expiratory volume in 1 second (FEV1)/forced vital capacity <0.7. Among the 335 patients with COPD, 97 patients were selected for this study if they had a cigarette smoking history of <1 pack-year (Figure 1).

Figure 1

Selection of study patients from the initial Korean cohort.

Abbreviations: FEV1, forced expiratory volume in 1 second; FVC, forced vital capacity.

All patients were evaluated at the enrollment visit by a medical interview, a physical examination, spirometry, laboratory tests, and a CT scan. Initial questionnaire data included demographic characteristics, disease history, environmental exposure, and exacerbation of disease during the previous year. Exacerbations were defined as worsening symptoms (dyspnea, cough, or sputum) requiring treatment with systemic steroids or antibiotics, a visit to the emergency room, and/or admission to a hospital. Dyspnea was evaluated using the modified Medical Research Council (MMRC) dyspnea grade. Health-related quality of life was evaluated by calculating the total score on the patient-reported COPD assessment test (CAT). Patients were questioned on their history of direct exposure to biomass using the question, “For cooking and/or heating, have you ever been exposed to fuels of wood or charcoal?”, with positive exposure to biomass defined as a direct exposure for >10 years.

All pulmonary function tests performed were those recommended by the American Thoracic Society/European Respiratory Society.14 Spirometry was performed using an Easy One kit (NDD Medizintechnik AG, Zurich, Switzerland). Increases in postbronchodilator FEV1 were determined by performing spirometry before bronchodilation and 15 minutes after inhalation of 400 μg of salbutamol through a metered-dose inhaler with a spacer. Bronchodilator reversibility was evaluated by assessing postbronchodilator FEV1 increase in liters.

Analyses of the clinical and imaging data were approved by the Institutional Review Board of Kangwon National University Hospital (2012, 06-007). All patients provided written informed consent.

Computed tomography

Volumetric CT scans were performed at full inspiration and expiration using a first-generation dual source CT system (Somatom Definition; Siemens Healthcare, Forchheim, Germany), as described by Lee et al.15 Whole-lung images were extracted automatically, and the attenuation coefficient of each pixel was calculated. From CT data, the volume fraction (%) of the lung below −950 HU at full inspiration was calculated automatically (emphysema index, EI). The ratio of mean lung density on expiration and inspiration was calculated. Airway dimensions, including wall area (WA), lumen area, and WA% (ie, WA/[WA + lumen area] ×100), were measured near the origin of the right apical and left apicoposterior segmental bronchi. To express the morphologic characteristics quantitatively, we used most frequently used methods, the EI as emphysema extent, and WA% as airway disease.16,17

Statistical analysis

The baseline characteristics of the patients were reported as mean ± standard deviation. Normally distributed parameters were analyzed using independent sample t-tests, and nonnormally distributed data were analyzed using Mann–Whitney U-tests. Multivariate analysis of clinical and CT variables differing in males and females was performed after adjusting for age, body mass index, and postbronchodilator FEV1 (% of predicted), as age, sex, body mass index, and FEV1 (% of predicted) are associated with the extent of emphysema in smokers with COPD.10,18 The history of biomass exposure was also entered into multivariable analysis due to the difference in biomass exposure between females and males, as biomass smoke exposure is associated with less emphysema, suggesting an airway-predominant phenotype.19

All statistical analyses were performed using the SAS statistical package, Version 9.2 (SAS Institute Inc., Cary, NC, USA), and SPSS, Version 15 (SPSS Inc., Chicago, IL, USA), with P-values <0.05 considered statistically significant.

Results

Patient characteristics

Demographic characteristics, lung function, and CT parameters of the 62 females and 35 males with COPD included in this study are shown in Table 1. Females were significantly older (74±7 years vs 71±7 years, P=0.04), had a lower body mass index (23.5±2.9 kg/m2 vs 25±3 kg/m2, P=0.015), and were more frequently exposed to biomass (53.2% vs 14.3%, P<0.01) than males. There were no significant differences in dyspnea scale, quality of life (CAT), history of asthma or other respiratory diseases, and lung function.

Table 1

Baseline characteristics of nonsmoking females and males with COPD

Variables	Females (n=62)	Males (n=35)	P-value
Age, years	74±7.2	71±7.2	0.04
BMI, kg/m2	23.5±2.9	25±3	0.015
MMRC dyspnea scale (0/1/2/3/4)	9/24/6/17/6	6/16/6/2/5	0.13
CAT	19.4±10	18±10.8	0.51
History of respiratory disease (n, %)	32 (51.6)	24 (68.6)	0.10
History of tuberculosis (n, %)	13 (22.4)	5 (14.3)	0.34
History of asthma (n, %)	15 (26.8)	8 (22.8)	0.67
History of biomass exposure (n, %)	33 (53.2)	5 (14.3)	<0.01
History of exacerbation (n, %)	6 (9.7)	2 (5.7)	0.50
FEV1/FVC (median, IQR)	61.8 (55–65.7)	62.3 (54.7–66.8)	0.94
FVC (% of predicted)	104.3±21.1	96.8±18.5	0.084
FEV1 (% of predicted)	84.9±21.2	80.3±17.8	0.29
Mean wall area (%)	71.8±5.1	69.4±5.3	0.027
Emphysema index (median, IQR)	1.7 (0.7–4.9)	4.2 (1.3–10.4)	<0.01
Mean lung density ratio	0.94±0.05	0.94±0.03	0.91

Notes: Results are reported as mean ± standard deviation or as median and IQR and compared by independent sample t-tests and Mann–Whitney U-tests, respectively. Emphysema index = volume fraction (%) of the lung below −950 HU, wall area (%) = wall area/(wall area + lumen area) ×100, and mean lung density ratio = mean lung density ratio of full expiration and inspiration.

Abbreviations: BMI, body mass index; CAT, COPD assessment test; FEV1, forced expiratory volume in 1 second; FVC, forced vital capacity; IQR, interquartile range; MMRC, Modified Medical Research Council.

Sex differences in airway disease and emphysema

A comparison of CT scan results showed that EI was significantly lower (3.5±4.2 vs 6.2±5.7, P<0.01) and WA% significantly higher (71.8±5 vs 69.4±5.3, P=0.013) in females than in males, after adjusting for age, body mass index, FEV1 (% of predicted), and history of biomass exposure (Table 2). However, MMRC, CAT, history of exacerbation, and FEV1 (% of predicted) did not differ significantly between males and females after adjusting for age, body mass index, and history of biomass exposure. Two representative cases showing sex differences, a nonsmoking man with diffuse emphysema and a nonsmoking woman with bronchial wall thickening on CT image, are shown in Figure 2.

Table 2

Multivariate analysis of factors associated with sex differences in CT measurements of changes in lung structure in nonsmoking patients with COPD

CT measurements	Females (n=62)	Males (n=35)	P-value
Mean wall area (%)	71.8±5.1	69.4±5.3	0.013
Emphysema index	3.5±4.2	6.2±5.7	<0.01
MLD ratio	0.94±0.05	0.94±0.03	0.85

Notes: Data are presented as mean ± standard deviation, after adjusting for age, body mass index, lung function, and history of biomass exposure. Emphysema index = volume fraction (%) of the lung below −950 HU, wall area (%) = wall area/(wall area + lumen area) ×100, and mean lung density ratio = mean lung density ratio of full expiration and inspiration.

Abbreviations: CT, computed tomography; MLD, mean lung density.

Figure 2

Representative cases showing sex differences on computed tomography (CT) image.

Notes: (A) CT image of 73-year old male having no history of cigarette smoking showing diffuse emphysema. (B) CT image of 81-year old female having no history of cigarette smoking showing diffuse bronchial wall thickening and no visual emphysema.

Therefore, subgroup analysis of CT parameters was performed as a function of history of biomass exposure. Similar trends in sex differences of EI were observed in both subgroups with and without a history of biomass exposure (the Mann–Whitney U-test for nonnormally distributed data, P=0.052 and P=0.056; Table 3). In addition, WA% was significantly higher in females than in males with a history of biomass exposure (P<0.01), but did not differ significantly in females and males without a history of exposure (Table 4).

Table 3

Subgroup analysis of emphysema index in nonsmoking males and females with COPD with and without a history of biomass exposure

CT measurements	Females	Males	P-value
Emphysema index (median, IQR)
With biomass exposure	2.3 (0.8–4.8)	5.9 (3.5–10.1)	0.052
Without biomass exposure	1.5 (0.4–4.9)	3.8 (1.3–10.4)	0.056

Notes: Data are presented as median with IQRs. Emphysema index = volume fraction (%) of the lung below −950 HU.

Abbreviations: IQR, interquartile range; CT, computed tomography.

Table 4

Subgroup analysis of the extent of airway disease in nonsmoking males and females with COPD with and without a history of biomass exposure

CT measurements	Females	Males	P-value
Mean wall area (%)
With biomass exposure	72.2±5.6	65±4.8	0.02
Without biomass exposure	71.4±4.5	70.1±5	0.18

Notes: Data are presented as mean ± standard deviation, after adjusting for age, body mass index, lung function, and history of biomass exposure. Wall area (%) = wall area/(wall area + lumen area) ×100.

Abbreviation: CT, computed tomography.

Discussion

This study demonstrated an important structural difference between males and females with COPD, in minimizing influences of cigarette smoking. We found that WA% was higher and emphysema extent was lower on CT in nonsmoking females with COPD than in nonsmoking males with COPD, after adjusting for age, body mass index, lung function, and biomass exposure. To our knowledge, this study represents the first direct comparison of lung structure phenotypes in nonsmoking males and females with COPD. These sex differences in lung structure may be important for understanding the differences in pathophysiology, development, clinical presentation, and outcomes between males and females with COPD.

Previous studies show that females and males with COPD may present differently and have different patterns of comorbidities and that females may have higher survival rates after acute exacerbations.20 The incidence of the two major phenotypes of COPD, airway disease and emphysema, also shows sex differences. Airway disease, as measured by methacholine reactivity, was more common among females than males in the Lung Health Study.21 Moreover, CT scans showed that WA% in anatomically matched airways of smokers was higher in females than in males.12 Conversely, the prevalence of emphysema was higher in males than in females,22 and CT results reported higher rates of emphysema in males than in females at all stages of COPD severity.23 Taken together, these studies indicate that males are more likely to have emphysema-predominant COPD, whereas females are more likely to have airway-predominant COPD.

Our results are consistent with these findings, in that WA% was higher and emphysema extent was lower in females with COPD than in males with COPD. However, earlier results showing sex differences in COPD may have been confounded by the effects of exposure to cigarette smoke and/or biomass. The present study showed sex differences in COPD in nonsmokers, after adjusting for history of biomass exposure.

Since many deaths in males and females with COPD can be attributed to cigarette smoking,24 most studies in patients with COPD recruited individuals with at least 10 pack-years of cigarette smoking, concentrating on the role of smoking in COPD. No clear consensus has been reached on the clinical relevance of COPD in nonsmokers because of limited data on the clinical features of COPD in these patients.25,26 As CT scans are more frequently used to characterize COPD, radiologic differences have been observed between smokers and nonsmokers with COPD. The incidence of emphysema on CT scans was lower in nonsmokers than in smokers with COPD.27 Thus, previous studies showing that males are more likely to have emphysema-predominant COPD may be associated with the greater incidence of smoking among males. In contrast, females were more susceptible to the damaging effects of cigarette smoke.28,29 At present, the complex relationship between cigarette smoking and sex in the presentation of COPD cannot be determined because of the lack of clinical data. The present study found that emphysema was more frequent in nonsmoking males with COPD than in nonsmoking females with COPD. These findings may lead to greater understanding of COPD phenotypes, including differentiating the effects of sex from those of cigarette smoking.

Biomass smoke is an important risk factor for the development of COPD.30,31 COPD patients exposed to biomass smoke had similar clinical presentations, but less severe lung function, compared with smokers with COPD.32 Exposure to biomass smoke is associated with a lower rate of emphysema but more air trapping than exposure to tobacco smoke.19 As COPD patients exposed to biomass were more likely to be female,32 reports that females are more likely to have airway-predominant COPD may be related to the effects of biomass smoke exposure. However, little is known about the relationships among sex, biomass exposure, and COPD phenotypes. The present study showed that WA% was higher in nonsmoking females with COPD than in nonsmoking males with COPD, after adjusting for history of biomass exposure and that WA% was higher in females than males with a history of biomass exposure, but that WA% was similar in females and males without a history of biomass exposure. These findings suggest that the airway phenotype of COPD is more common in females, and that females may be more susceptible to the damaging effects of biomass smoke in the development of airway disease.

The sex difference in COPD may result from behavioral and/or environmental factors or biologic and/or genetic factors. As previous studies of sex differences in COPD were conducted primarily in smokers, these sex differences could be ascribed to differences in smoking habits and/or susceptibility to tobacco smoke, despite biologic and/or genetic differences between males and females.29 More recently, however, smoking behavior tends to be similar in males and females.33 Thus, reported sex differences in clinical features of COPD may not be consistently, if not precisely, adjusting the effects of cigarette smoking. Our results suggest that sex differences in the structural characteristics of the airways and parenchyma are not driven by sex differences in cigarette smoking or susceptibility to the effects of cigarette smoke. Broader understanding on sex differences in the pathophysiology of COPD may help in designing sex-based diagnostic and treatment strategies.

This study had several limitations. First, as it was a cross-sectional analysis, the causal relationship between sex and structural changes in the lungs over time could not be determined. Further longitudinal studies are needed to clarify this relationship. Second, there were no comparisons with normal groups, suggesting the need for studies comparing nonsmoking males and females with those with and without COPD. Third, the intensity and duration of previous environmental exposure may not be quantitatively accurate because they were based on participant memory and questionnaires. A long-term follow-up study using exposure metrics is warranted. Fourth, the results of this study may not be generalized because the influence of smoking is not totally excluded, the patients could be influenced by cement dust, and this study relies on CT image analysis and lacks visual evaluation of CT scan. More large-scale or population-based studies will help in identifying sex differences, excluding smoking effects on patients with COPD.

Conclusion

This study showed important structural differences in the lung parenchyma and airways between nonsmoking males with COPD and nonsmoking females with COPD. WA% might be higher and emphysema extent was lower in nonsmoking females than in nonsmoking males. These findings suggest that males may be predisposed to develop an emphysema phenotype of COPD, regardless of exposure to cigarette smoke.