Literature DB >> 35484546

Small airway dysfunction in pneumoconiosis: a cross-sectional study.

Yali Fan1, Ruimin Ma1, Xuqin Du1, Dandan Chai1, Shuangli Yang1, Qiao Ye2.   

Abstract

BACKGROUND: Although several histological studies have documented airway inflammation and remodelling in the small airways of dust-exposed workers, little is known regarding the prevalence and risk factors of small airway dysfunction (SAD) in pneumoconiosis. The present study investigated the prevalence and characteristics of spirometry-defined SAD in pneumoconiosis and assessed the risk factors for associated with SAD.
METHODS: A total of 1255 patients with pneumoconiosis were invited to participate, of whom 1115 patients were eligible for final analysis. Spirometry was performed to assess SAD using the following three indicators: maximal mid-expiratory flow and forced expiratory flow 50% and 75%. SAD was defined as at least two of these three indicators being less than 65% of predicted value. Logistic regression analyses were used to analyse the relationships between clinical variables and SAD.
RESULTS: Overall, 66.3% of patients with pneumoconiosis had SAD, among never-smokers the prevalence of SAD was 66.7%. The proportion of SAD did not differ among the subtypes of pneumoconiosis. In addition, SAD was present across the patients with all stages of pneumoconiosis. Even among those with forced expiratory volume in 1 s (FEV1) ≥ 80% and FEV1/forced vital capacity ratio ≥ 70%, 40.8% of patients had SAD. Patients with SAD were older than patients without SAD, more likely to be women and heavy smokers. Importantly, patients with SAD had more severe airflow obstruction, air trapping, and diffusion dysfunction. All patients with both pneumoconiosis and chronic obstructive pulmonary disease had SAD. Based on multivariate analysis, overall, aged 40 years and older, female sex, heavy smoking, body mass index ≥ 25.0 kg/m2 and pneumoconiosis stage III were significantly associated with increased risk of SAD. Among the never smokers, risk factors for SAD included female sex, BMI ≥ 25.0 kg/m2, pneumoconiosis stage II and stage III
CONCLUSION: Spirometry-defined SAD is one of the common functional abnormalities caused by occupational dust exposure and should be taken into account when monitoring respiratory health of workers to guide the early precautions and management in pneumoconiosis.
© 2022. The Author(s).

Entities:  

Keywords:  Dust exposure; Pneumoconiosis; Prevalence; Risk factor; Small airway dysfunction

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Substances:

Year:  2022        PMID: 35484546      PMCID: PMC9052448          DOI: 10.1186/s12890-022-01929-9

Source DB:  PubMed          Journal:  BMC Pulm Med        ISSN: 1471-2466            Impact factor:   3.320


Background

Pneumoconiosis is an irreversible, potentially fatal dust-related lung disease caused by inhalation of mineral dust [1-3]. This disease remains one of the major occupational health concerns, especially in developing countries and territories [1, 3–5]. In 2019, more than 880,000 patients with pneumoconiosis were reported in China, accounting for 88.9% of the total number of occupational diseases [6]. In 2016, 21,488 deaths were estimated to be due to pneumoconiosis on a global scale [7]. Occupational dust exposure induces inflammation and fibrosis in the lungs, which can affect the entire respiratory tract, including the large and small airways [2]. The small airways are considered the main site of airflow limitation in obstructive lung disease [8]. A recent large epidemiological study showed that the prevalence of small airway dysfunction (SAD) (defined as the presence of at least two of these three indicators less than 65% of predicted values: maximal mid-expiratory flow (MMEF), forced expiratory flow (FEF) 50%, and FEF 75%) was more than 40% among Chinese adults aged 20 years or older, accounting for more than 400 million people in China [9]. Histological data suggested that collagen and hyaluronan were increased in the small airway in chronic obstructive pulmonary disease (COPD), and structural abnormalities in the small airways may precede pathological evidence of emphysematous destruction [10, 11]. SAD is a common early feature of COPD, all patients with COPD had SAD [9-11]. Long-term exposure to mineral dust leads to the development of obstructive lung diseases, such as COPD [2, 12, 13]. Our previous studies showed that COPD was highly prevalent in patients with pneumoconiosis, especially in silicosis and coal workers’ pneumoconiosis [14]. Notably, both physiological and structural abnormalities in small airways among workers exposed to a variety of mineral dusts have been observed [13, 15, 16]. Our published data showed that the predicted percentages of FEF 25%, FEF 50% and FEF 75% were all significantly lower in asbestosis, suggesting that SAD was present [17]. Previous research on SAD has primarily focused on the general population or patients with COPD or asthma. However, the proportion and risk factors for SAD in pneumoconiosis have not been determined. The present study aimed to estimate the prevalence of pre-bronchodilator SAD and assessed risk factors for its in pneumoconiosis using a spirometric definition of the disease.

Methods

Study design and participants

This research was a cross-sectional study and designed according to the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement [18]. From January 2007 to November 2020, 1255 newly diagnosed pneumoconiosis patients were recruited from Beijing Chaoyang Hospital. A multidisciplinary diagnostic review was performed to confirm the diagnosis of pneumoconiosis according to the criteria for pneumoconiosis of the International Labour Organization (ILO) classification [19]. The multidisciplinary diagnostic panel included at least pulmonologist, pathologists, and radiologist. Diagnosis of pneumoconiosis was based on relevant occupational exposure history and clinic-radiological correlations. Patients with pulmonary malignant tumours, acute pulmonary infection, pulmonary tuberculosis, asthma, bronchiectasis, pneumothorax or those without spirometry available for physical review were excluded. This study was conducted in accordance with the ethical standards of Beijing Chaoyang Hospital and World Medical Association Declaration of Helsinki and was approved by the Institutional Review Board (IRB) of Beijing Chaoyang Hospital. Informed consent was documented in writing.

Data collection

The following data were collected: demographics, medical history, smoking (including smoking status, cigarettes smoked per day, and pack-years smoked), family history, and detailed occupational history (including type of exposure and the start and end dates of employment). Smoking status was self-reported and classified as current smoker (current smoking or cessation < 12 months), former smoker (cessation ≥ 12 months previously) and never-smoker. Smoking intensity was analysed as both a categorical (0 pack-years, 1–19 pack-years and ≥ 20 pack-years) and continuous variable. Heavy smoking was defined as having smoked 20 or more pack-years. Both categorical (< 18.5 kg/m2, 18.5–24.9 kg/m2, and ≥ 25.0 kg/m2) and continuous variables to analyse body mass index (BMI) were also used for analysis.

Pulmonary function tests

The patients with pneumoconiosis underwent pulmonary function tests. All the pulmonary function tests data based on criteria from the American Thoracic Society and European Respiratory Society criteria were reviewed centrally an expert panel [20]. Unreliable spirometric data were excluded. Trained technicians performed pulmonary function examinations using spirometry, whole body plethysmography, and single-breath diffusing capacity for carbon monoxide. SAD in patients with pneumoconiosis was assessed on the basis of three indicators of lung function, namely, pre-bronchodilator MMEF, FEF at 50% of vital capacity, and FEF at 75% of vital capacity according to the recommendations of a previous study [9]. SAD was defined as present if at least two of these three indicators were less than 65% of predicted values. Based on previous studies, the cutoff value of 65% predicted value was chosen, especially in the Chinese population [9]. COPD was diagnosed according to medical history and forced expiratory volume in 1 s (FEV1)/forced vital capacity (FVC) ratio < 70% after bronchodilation [21]. A bronchial challenge test was performed in patients with FEV1 above 60%. Airway hyperresponsiveness was tested using a bronchial challenge test when a provocative methacholine concentration (4 mg/mL or less) causing a 20% decrease in FEV1 was considered positive.

Stages of pneumoconiosis

Each patient’s chest radiographs were independently reviewed by two thoracic radiologists who were blinded to the clinical information with good interobserver correlation (0.81). All disagreements were resolved through consensus. Pneumoconiosis was classified into three stages according to the density and distribution of small and large opacities on the posterior chest radiograph, using a national criterion on the diagnosis of occupational pneumoconiosis (GBZ 70-2015) [22], which is in line with ILO classification guideline (Additional file 1: Methods) [19].

Sample size calculation

Based on a previous study, this study assumed that the prevalence of SAD in pneumoconiosis was 43.5% [9]. Using the formula, the sample size was 499 [9]. If fixed precision (d) was specified, using the formula, the sample size was 385. Furthermore, this study demonstrated the prevalence of SAD in the never-smokers subgroup. Thus, the final sample sizes were 895–1160 according to the proportion of never-smokers in patients with pneumoconiosis from Beijing Chao-Yang Hospital. We calculated sample sizes with PASS software (NCSS, Kaysville, UT, USA).

Statistical analysis

SPSS Statistics V.23 (IBM Inc., Chicago, Illinois, USA) and GraphPad Prism V8 (GraphPad Software, La Jolla, USA) were used to perform the statistical analyses and to make plots. Data are expressed as the median (interquartile range) or number and percentage. The Mann–Whitney U test was conducted to determine the differences in nonnormally distributed continuous variables. The chi-square test or Fisher’s exact test was used for categorical variables, when appropriate. Spearman's (nonparametric) correlation was used to assess the relationship between pulmonary function variables. Logistic regression analyses with odds ratios (ORs) with 95% confidence intervals (CIs) were applied to investigate potential risk factors for SAD in all pneumoconiosis patients and in never-smokers. Multivariable model was adjusted for age, sex, smoking exposure, BMI, the duration of exposure, exposure type and stage of pneumoconiosis. A p value of less than 0.05 was considered to be significant.

Results

Demographics

Of 1255 patients with pneumoconiosis who were initially recruited, 1115 patients with complete data were eligible for inclusion in the final analysis (Fig. 1). Among these patients, 339 patients with asbestosis, 341 with silicosis, 303 with coal workers’ pneumoconiosis and 132 with other pneumoconiosis were enrolled. The median age was 58 (IQR 50–67) years, the majority of patients were men (74.3%, 829/1115), and 620 (55.6%) patients had a history of smoking. The characteristics of the patients with pneumoconiosis are presented in Table 1.
Fig. 1

Flow chart of the enrolled patients. CWP coal workers’ pneumoconiosis

Table 1

Demographic characteristics of 1115 pneumoconiosis patients seen in the Beijing Chaoyang Hospital by type of pneumoconiosis

AllAsbestosisSilicosisCoal workers’ pneumoconiosisOther pneumoconiosisp Value
n1115339341303132
Age, yrs58.0 (50.0–67.0)67.0 (62.0–73.0)55.0 (48.0–65.0)53.0 (49.0–58.0)48.5 (44.0–59.8) < 0.001
Sex < 0.001
 Men829 (74.3)153 (45.1)253 (74.2)299 (98.7)124 (93.9)
 Women286 (25.7)186 (54.9)88 (25.8)4 (1.3)8 (6.1)
BMI, kg/m225.1 (22.9–27.6)26.1 (24.1–28.9)24.5 (22.5–26.9)24.6 (21.8–26.9)24.6 (22.5–26.8) < 0.001
Smoking exposure, pack-yrs < 0.001
 0495 (44.4)221 (65.2)150 (44.0)84 (27.7)40 (30.3)
 1–19372 (33.4)65 (19.2)97 (28.4)143 (47.2)67 (50.8)
  ≥ 20248 (22.2)53 (15.6)94 (27.6)76 (25.1)25 (18.9)
Cumulative pack-yrs15.0 (5.0–25.0)15.0 (5.0–30.0)18.4 (7.5–30.0)12.5 (4.8–22.5)10.0 (3.2–20.0) < 0.001
Duration of exposure, yrs12.0 (6.0–21.0)9.0 (5.0–23.0)13.9 (7.0–24.0)15.0 (7.0–20.0)12.0 (8.0–18.8)0.025
Stage of pneumo < 0.001
 I599 (53.7)231 (68.1)156 (45.7)113 (37.3)99 (75.0)
 II286 (25.7)91 (26.8)82 (24.0)88 (29.0)25 (18.9)
 III230 (20.6)17 (5.0)103 (30.2)102 (33.7)8 (6.1)

Data was presented as median (IQR) or n (%)

BMI body-mass index, IQR interquartile range

Flow chart of the enrolled patients. CWP coal workers’ pneumoconiosis Demographic characteristics of 1115 pneumoconiosis patients seen in the Beijing Chaoyang Hospital by type of pneumoconiosis Data was presented as median (IQR) or n (%) BMI body-mass index, IQR interquartile range

Prevalence of SAD in pneumoconiosis

Overall, 66.3% (739/1115) of the study population had SAD. The prevalence of SAD did not significantly differ among the various subtypes (Table 2). Women had a higher prevalence than men (73.4% vs. 63.8%, p = 0.003), and the difference was statistically significant. The prevalence of SAD increased with age and smoking pack-years. However, the prevalence of SAD did not show a significant difference between never-smokers and smokers (66.7% vs. 66.0%, p = 0.806). In addition, SAD was present across the patients with all stages of pneumoconiosis and was 61.1% in stage I, 66.4% in stage II and 79.6% in stage III (p < 0.001). Interestingly, all patients with both pneumoconiosis and COPD had SAD.
Table 2

Distribution of the general characteristics in the study sample and prevalence rates of small airway dysfunction by the general characteristics

AllPrevalence of SAD
n%n%p Value
Overall111510073966.3
Pneumoconiosis0.059
 Asbestosis33930.423268.4
 Silicosis34130.623970.1
  Coal workers’ pneumoconiosis30327.218962.4
  Other pneumoconiosis13211.87959.8
Age, yrs < 0.001
 20–39*403.61742.5
 40–4922320.012355.2
 50–5933430.023068.9
 60–6931528.321568.3
  ≥ 7020318.215475.9
Sex0.003
 Men82974.352963.8
 Women28625.721073.4
Smoking history0.559
 Never-smoker49544.433066.7
 Former smoker31228.021267.9
 Current smoker30827.619764.0
Smoking exposure, pack-yrs0.017
 049544.433066.7
 1–1937233.422961.6
  ≥ 2024822.218072.6
BMI, kg/m20.114
  < 18.5161.41275.0
 18.5–24.953147.633663.3
  ≥ 25.056850.939168.8
Duration of exposure, yrs0.949
  ~ 416815.111266.7
 5–1033129.721966.2
 11–1516614.911368.1
 16 ~ 45040.429565.6
Stage of pneumoconiosis < 0.001
 I59953.736661.1
 II28625.719066.4
 III23020.618379.6
COPD34530.9345100 < 0.001

SAD small airway dysfunction, BMI body-mass index, COPD chronic obstructive pulmonary disease

*Age groups 20–29 years and 30–39 years were combined because of small numbers of patients

‡The patients with BMI < 18.5 kg/m2 means underweight, 18.5–24.9 kg/m2 means normal range, and ≥ 25.0 kg/m2 means overweight and obese

Distribution of the general characteristics in the study sample and prevalence rates of small airway dysfunction by the general characteristics SAD small airway dysfunction, BMI body-mass index, COPD chronic obstructive pulmonary disease *Age groups 20–29 years and 30–39 years were combined because of small numbers of patients ‡The patients with BMI < 18.5 kg/m2 means underweight, 18.5–24.9 kg/m2 means normal range, and ≥ 25.0 kg/m2 means overweight and obese After restricting analyses to never-smokers, SAD was present in 66.7% (330/495) of patients with pneumoconiosis, and the prevalence of SAD according to age, sex, smoking pack-years, and stage of pneumoconiosis was not substantially altered (Additional file 1: Table S1). In the analysis of subtypes of pneumoconiosis, the prevalence of SAD is presented in Fig. 2. The prevalence of SAD increased steadily with stages of pneumoconiosis in asbestosis, silicosis, and coal workers’ pneumoconiosis.
Fig. 2

The prevalence of small airway dysfunction in various subtypes of pneumoconiosis and total patients. A p values for women versus men, B p values for comparison across stages of pneumoconiosis, C p values for FEV1 ≥ 80% and FEV1/FVC ≥ 70% group versus others, D p values for FVC ≥ 80% and FEV1/FVC ≥ 70% group versus others. SAD small airway dysfunction; *, p < 0.05; **, p < 0.01; ***, p < 0.001

The prevalence of small airway dysfunction in various subtypes of pneumoconiosis and total patients. A p values for women versus men, B p values for comparison across stages of pneumoconiosis, C p values for FEV1 ≥ 80% and FEV1/FVC ≥ 70% group versus others, D p values for FVC ≥ 80% and FEV1/FVC ≥ 70% group versus others. SAD small airway dysfunction; *, p < 0.05; **, p < 0.01; ***, p < 0.001 In addition, 237 patients had SAD when the patients had FEV1 ≥ 80% and FEV1/FVC ratio ≥ 70% (21.3% of all participants, and 32.1% of all those with SAD) (Additional file 1: Table S2). Specifically, among 581 patients with FEV1 ≥ 80% and FEV1/FVC ratio ≥ 70%, 40.8% of patients with pneumoconiosis had SAD. Similarly, among 598 patients with FVC ≥ 80% and FEV1/FVC ratio ≥ 70%, 44.8% of patients had SAD (Additional file 1: Table S3).

Characteristics of the patients with small airway dysfunction

Patients with SAD were older (median 59.5 years old) than patients without SAD and were more likely to be women (Table 3), and the differences were statistically significant. Compared with patients without SAD, those with SAD had a significantly higher number of cigarette pack-years and a significantly higher proportion of heavy smokers, but the proportion of never-smokers was not significantly different between those with and without SAD (44.7% vs. 43.9%, p = 0.806). Patients with SAD also had more frequent cough and expectoration than patients without SAD, and the differences were statistically significant.
Table 3

General characteristics of the study sample stratified in relation to the presence or absence of small airway dysfunction

Small airway dysfunctionp Value
Presence (n = 739)Absence (n = 376)
Age, yrs59.5 (51.0–68.0)55.0 (47.0–65.8) < 0.001
Sex0.003
 Men529 (71.6)300 (79.8)
 Women210 (28.4)76 (20.2)
Smoking exposure, pack-yrs0.017
 0330 (44.7)165 (43.9)
 1–19229 (31.0)143 (38.0)
  ≥ 20180 (24.4)68 (18.1)
Cumulative pack-yrs15.0 (5.0–28.1)10.0 (5.0–20.0) < 0.001
BMI, kg/m225.3 (22.9–27.7)24.8 (22.9–27.5)0.439
Duration of exposure, yrs12.0 (6.0–21.0)12.0 (6.0–22.0)0.840
Stage of pneumoconiosis < 0.001
 I366 (49.5)233 (62.0)
 II190 (25.7)96 (25.5)
 III183 (24.8)47 (12.5)
Types of pneumoconiosis0.059
 Asbestosis232 (31.4)107 (28.5)
 Silicosis239 (32.3)102 (27.1)
  Coal workers’ pneumoconiosis189 (25.6)114 (30.3)
  Other pneumoconiosis79 (10.7)53 (14.1)
Cough595 (80.5)267 (71.0) < 0.001
Expectoration373 (50.5)154 (41.0)0.003
Dyspnea453 (61.3)239 (63.6)0.461

Data was presented as n (%) or median (IQR)

SAD small airway dysfunction, BMI body-mass index

General characteristics of the study sample stratified in relation to the presence or absence of small airway dysfunction Data was presented as n (%) or median (IQR) SAD small airway dysfunction, BMI body-mass index Patients with SAD had more airflow limitation, air trapping, and diffusion dysfunction (Additional file 1: Table S4). Notably, among 739 patients with SAD, 408 (55.2%) had FEV1 less than 80%, 345 (46.7%) patients had FEV1/FVC ratio less than 70%, 251 (34.0%) had both FEV1 less than 80% and FEV1/FVC ratio less than 70%. However, only 8.2% (31/376) of the patients without SAD had FEV1 less than 80%, none of them had FEV1/FVC ratio less than 70%. From these, SAD was closely related to airway obstruction. Airway hyperresponsiveness was significantly associated with increased SAD (p = 0.021). As expected, MMEF had positive correlations with FEV3/FVC ratios (r = 0.68, p < 0.001), FEV1/FVC ratios (r = 0.78, p < 0.001) and percentage predicted PEF (r = 0.68, p < 0.001) (Additional file 1: Fig. S1). In addition, oxygen partial pressure was significantly lower in patients with SAD compared to patients without SAD.

Risk factors for small airway dysfunction in pneumoconiosis

The stage III of pneumoconiosis had progressive massive fibrosis in accordance with the national criterion of the diagnosis of occupational pneumoconiosis [19, 22]. The stage III of asbestosis had more severe pulmonary fibrosis than stage I and II. Stage I and II were combined in the Logistic model in Table 4. In univariate Logistic regression analysis, aged 40 years and older, female sex, heavy smoking, BMI ≥ 25.0 kg/m2 and pneumoconiosis stage III were significantly associated with an increased risk of SAD in all patients (Table 4). In multivariable-adjusted analyses, the risk was significantly associated with these factors. In a subgroup analysis, cumulative pack-years, heavy smoking and current smokers were significantly associated with increased risk of SAD among males (Additional file 1: Fig. S2), but not among females. However, the number of smoking women was not enough to perform interaction analysis between sex and cigarette smoking.
Table 4

Logistic regression analysis for risk factors of small airway obstruction in the total patients with pneumoconiosis*

UnadjustedAdjusted
OR95%CIp ValueOR95%CIp Value
Age, yrs
 20–391.00(ref)1.00(ref)
 40–592.341.22–4.490.0102.021.02–3.980.043
  ≥ 603.351.74–6.45 < 0.0013.201.55–6.620.002
Sex
 Men1.00(ref)1.00(ref)
 Women1.571.16–2.110.0031.761.17–2.640.007
Smoking exposure, pack-yrs
 01.00(ref)1.00(ref)
 1–190.800.61–1.060.1531.150.81–1.610.435
  ≥ 201.451.06–1.980.0201.721.16–2.560.007
BMI, kg/m2
  < 18.51.740.55–5.470.3431.580.49–5.010.448
 18.5–24.91.00(ref)1.00(ref)
  ≥ 25.01.291.01–1.660.0441.321.01–1.720.039
Exposure duration, yrs
  ~ 41.00(ref)1.00(ref)
 5–100.980.66–1.450.9100.910.60–1.370.642
 11–151.070.68–1.690.7841.030.63–1.660.916
 16 ~ 0.950.65–1.390.7960.740.50–1.110.148
Types of pneumoconiosis
 Asbestosis1.00(ref)1.00(ref)
 Silicosis1.080.78–1.500.6411.300.88–1.930.194
  Coal workers’ pneumoconiosis0.770.55–1.060.1071.060.68–1.640.812
  Other pneumoconiosis0.690.45–1.040.0781.230.75–2.090.381
Stage of pneumoconiosis
 I/II1.00(ref)1.00(ref)
 III2.301.63–3.26 < 0.0012.671.83–3.88 < 0.001

OR odds rate, BMI body-mass index

*All variables in the table were included in the multivariable model, while adjusting for exposure duration and types of pneumoconiosis

‡BMI was categorized as: underweight (< 18.5 kg/m2), normal (18.5–24.9 kg/m2) and overweight/obese (≥ 25.0 kg/m2)

Logistic regression analysis for risk factors of small airway obstruction in the total patients with pneumoconiosis* OR odds rate, BMI body-mass index *All variables in the table were included in the multivariable model, while adjusting for exposure duration and types of pneumoconiosis ‡BMI was categorized as: underweight (< 18.5 kg/m2), normal (18.5–24.9 kg/m2) and overweight/obese (≥ 25.0 kg/m2) In never-smokers, multivariable analysis showed that female sex (OR 1.78, 95% CI 1.10–2.88, p = 0.020), BMI ≥ 25.0 kg/m2 (OR 1.54, 95% CI 1.04–2.30, p = 0.032), pneumoconiosis stage II or stage III (OR 1.75, 95% CI 1.07–2.85, p = 0.026; OR 2.38, 95% CI 1.27–4.48, p = 0.007) were independent risk factors for development SAD (Additional file 1: Table S5).

Discussion

In the present study, spirometric evaluation revealed SAD in the majority of pneumoconiosis regardless of its subtypes. Moreover, SAD was present across patients with all severities of pneumoconiosis. Of note, all patients with both pneumoconiosis and COPD were present SAD. Patients with SAD were older than patients without SAD and more likely to be women and heavy smokers. Importantly, patients with SAD had more airflow obstruction, air trapping, and diffusion dysfunction. Overall, aged 40 years and older, female sex, heavy smoking, BMI ≥ 25.0 kg/m2 and pneumoconiosis stage III were identified as independent risk factors for SAD in pneumoconiosis. Among never-smokers, those risk factors were not substantially altered. Previous studies showed that the prevalence of SAD varied greatly, which used a very different definition of the conditions and focused primarily on the general population or individuals with established chronic respiratory diseases. A large cross-sectional study analysed data from 13,302 adults from the general population and showed that the prevalence of SAD was 6.3% in the United States [23]. The most recent national survey of SAD in China among 50,479 adults reported an overall prevalence of 43.5%, which was lower than that of pneumoconiosis (66.3%) in our cohort, and these two studies applied the same diagnostic criteria [9]. These findings suggested that a pervasive occurrence of SAD in pneumoconiosis might be a characteristic caused by occupational dust exposure. It was estimated that up to 74% of COPD patients had SAD (defined as R5–R20 > 0.07 kPa· s· L−1), while all patients with both pneumoconiosis and COPD were present SAD in our study [24]. Although these two studies were not directly comparable, the physiological changes associated with dust-related small airways might play a role in the development of COPD in pneumoconiosis. Even among pneumoconiosis with FEV1 ≥ 80% and FEV1/FVC ratio ≥ 70%, more than 40% of patients had SAD, supporting the theory that the effect of exposure to dusts on small airways is a primary response and independent from effects on the large airways [12]. Interestingly, our study showed that the prevalence of SAD was higher in females (73.4%) than in males (63.8%), consistent with findings from previous studies among a nationally representative population in China (42.1% in males and 57.9% in females) [9]. In our study, there were no significant sexes differences in smoking levels. Females had significantly shorter occupational exposure durations than males (median: 10.0 years vs. 13.0 years, p = 0.009). Thus, sex difference in the prevalence of SAD could be related to other factors apart from smoking levels or tenures. The explanation may be that females have higher levels of exposure to biomass fuels than males [25]. Biomass use has been also linked to an increased risk of SAD [9]. However, the reasons for the sex difference remain to be elucidated in future studies. Although the overlap with smoking makes it difficult to assess the fraction of SAD attributable to occupational dust exposures, we found a similar prevalence of SAD among never-smokers and smokers, and it is likely that occupational dust exposure contributes significantly to the burden of SAD. Our study showed that the prevalence of SAD did not significantly differ among the various pneumoconiosis subtypes, indicating that SAD is a nonspecific reaction of small airways to mineral dust damage. Histologic observations showed that small airway lesions were very similar in workers exposed to a variety of different dusts, such as silica, asbestos, coal, iron oxide, and aluminium oxide [26, 27]. Several risk factors associated with SAD were identified in the present study. Cigarette smoking induced small airway inflammatory response, fibrosis and pigment deposition, which were associated with the decline in FEF 25–75%, FEV1/FVC and FEV1 [28]. Evidence indicated that occupational dust exposure induced structural changes in the small airway more than smoking alone [29, 30]. Smoking was linked to an increased risk of SAD in the present study, which was consistent with a study among the general population [9]. Nevertheless, smokers with SAD, who successfully quit smoking, seem to constantly improve their airway dysfunction as shown in a longitudinal study carried out in Belgium [31].Specifically, comprehensive strategies for smoking prevention and control should be implemented to reduce hazards. Being aged 40 years and older increased the risk of SAD, like previous findings reported in the general population [9]. The evaluation of normal airway morphology indicated that the thickness of small airway cartilage progressively decreased with older age, and the inner area correlated negatively with age [32]. Lung function decline was shown to be related to an increase in BMI, and the risk of SAD was significantly associated with an increase in BMI by 5 kg/m2 [9, 33]. Occupational dust exposure is known to cause pneumoconiosis and airway obstruction in both large and small airways [1, 2]. Exposure to a wide variety of mineral dusts leads to the development of COPD [2, 34]. SAD is a common early feature of COPD and a mechanism for COPD progression [35-37]. Persistent occupational dust exposure causes small airway disease as respirable particles travel to small airways and alveoli, where they are phagocytosed by macrophages, and increases the recruitment and activity of macrophages. This process upregulates several proinflammatory and profibrotic pathways, inducing inflammation and the subsequent repair/regeneration process, leading to tissue remodelling and eventually small airway loss [38, 39]. Small airway abnormalities were found preceding asbestosis or silicosis in animal models [40, 41]. Workers with lesions of pigmentation and fibrosis in the respiratory bronchioles had significantly reduced FEF 25–75%, FVC and FEV1 [29]. Abnormal small airways may be functionally significant even in the absence of pneumoconiosis [29]. These findings suggested that occupational dust exposure may contribute to SAD, which precedes demonstrable involvement of lung tissue. To date, there is no gold standard specifically to assess SAD. The three measures (MMEF, FEF 50%, and FEF 75%) are relatively sensitive and objective to reflect SAD and are suitable for large-scale epidemiological studies [9]. In addition, our analyses revealed a significant correlation between MMEF and FEV1/FVC, consistent with the findings from other previous study [42]. The FEV3/FVC ratio is an often a neglected tool for identifying airflow limitations. Our study also found that the FEV3/FVC ratio was positively associated with MMEF. Clinically, the possible effects of mixed restrictive and obstructive lung function abnormalities on the presence of SAD remain to be determined. Several limitations of the study need to be mentioned. First, a regional center for occupational medicine and worker's compensation is involved in Beijing Chaoyang Hospital, which represents a reference center for diagnosis and management of pneumoconiosis at city level. The patients with pneumoconiosis who have ever worked or lived in the city or transfer from other regions will see the doctors in the hospital. However, all patients from a single-medical center were enrolled, which may lead to bias to a certain extent. The analysis was based on a large number of pneumoconiosis patients with spirometry data, and standard spirometry was performed by the same technologist with the same instruments for the entire study population, which allowed a high internal comparability and reproducibility of our results. Second, SAD was defined according to spirometry, with the potential risk of underestimation in patients with traction bronchiectasis, especially patients with asbestosis. In the subgroup analysis, the prevalence of SAD in asbestosis was lower than that in other conditions, but there were no significant group differences. These results should be applied only to spirometry-defined SAD. Third, because of the lack of information on individual workplace environments or concentrations of dust, this study may lack the power to estimate the exposure–response relationship between cumulative exposure to dust and the prevalence of SAD. Fourth, only 14 females were ever-smokers, which was not enough to study the interactions between sex and cigarette smoking in dust exposure-induced pneumoconiosis. Finally, the study lacked longitudinal observations so associations cannot be attributed to being causal. The role of small airways in early disease and the prognosis of pneumoconiosis are still unknown and remain to be elucidated in future studies.

Conclusions

In conclusion, the present study revealed a high prevalence of spirometry-defined SAD in Chinese patients with pneumoconiosis, regardless of its subtypes. Notably, all patients with both pneumoconiosis and COPD were present SAD. Aged 40 years and older, female sex, heavy smoking, BMI ≥ 25.0 kg/m2 and severe pneumoconiosis were the major risk factors for SAD. SAD may be one of the common functional abnormalities in early lung damage caused by occupational dust exposure. In addition to prevention of occupational exposure and smoking cessation, early detection of the presence of SAD may help to guide precautions and management of the disease. Additional file 1. Stages of pneumoconiosis based on chest radiograph.
  39 in total

Review 1.  Silicosis.

Authors:  Chi Chiu Leung; Ignatius Tak Sun Yu; Weihong Chen
Journal:  Lancet       Date:  2012-04-24       Impact factor: 79.321

2.  Rapid decline in lung function in coal miners: evidence of disease in small airways.

Authors:  Robert C Stansbury; Lu-Ann F Beeckman-Wagner; Mei-Lin Wang; Jeffery P Hogg; Edward L Petsonk
Journal:  Am J Ind Med       Date:  2013-06-05       Impact factor: 2.214

3.  Functional and morphologic comparison of silica- and elastase-induced airflow obstruction.

Authors:  A Churg; J Hobson; J Wright
Journal:  Exp Lung Res       Date:  1989-12       Impact factor: 2.459

4.  Lung mechanics and frequency dependence of compliance in coal miners.

Authors:  A Seaton; N L Lapp; W K Morgan
Journal:  J Clin Invest       Date:  1972-05       Impact factor: 14.808

Review 5.  Global Strategy for the Diagnosis, Management, and Prevention of Chronic Obstructive Lung Disease: the GOLD science committee report 2019.

Authors:  Dave Singh; Alvar Agusti; Antonio Anzueto; Peter J Barnes; Jean Bourbeau; Bartolome R Celli; Gerard J Criner; Peter Frith; David M G Halpin; Meilan Han; M Victorina López Varela; Fernando Martinez; Maria Montes de Oca; Alberto Papi; Ian D Pavord; Nicolas Roche; Donald D Sin; Robert Stockley; Jørgen Vestbo; Jadwiga A Wedzicha; Claus Vogelmeier
Journal:  Eur Respir J       Date:  2019-05-18       Impact factor: 16.671

Review 6.  Small airways involvement in coal mine dust lung disease.

Authors:  Joshua Long; Robert C Stansbury; Edward L Petsonk
Journal:  Semin Respir Crit Care Med       Date:  2015-05-29       Impact factor: 3.119

7.  An isolated reduction of the FEV3/FVC ratio is an indicator of mild lung injury.

Authors:  Zachary Q Morris; Angel Coz; Dominik Starosta
Journal:  Chest       Date:  2013-10       Impact factor: 9.410

8.  Three decades of silicosis: disease trends at autopsy in South African gold miners.

Authors:  Gill Nelson; Brendan Girdler-Brown; Ntombizodwa Ndlovu; Jill Murray
Journal:  Environ Health Perspect       Date:  2010-03       Impact factor: 9.031

9.  Small-airway lesions in patients exposed to nonasbestos mineral dusts.

Authors:  A Churg; J L Wright
Journal:  Hum Pathol       Date:  1983-08       Impact factor: 3.466

10.  Possible role of Krüppel-like factor 5 in the remodeling of small airways and pulmonary vessels in chronic obstructive pulmonary disease.

Authors:  Kyoko Abe; Hisatoshi Sugiura; Yuichiro Hashimoto; Tomohiro Ichikawa; Akira Koarai; Mitsuhiro Yamada; Tadahisa Numakura; Katsuhiro Onodera; Rie Tanaka; Kei Sato; Satoru Yanagisawa; Tatsuma Okazaki; Tsutomu Tamada; Toshiaki Kikuchi; Masakazu Ichinose
Journal:  Respir Res       Date:  2016-01-20
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