Abstract
Background
Bronchiectasis is a chronic infectious respiratory disease with diverse causes and ethnic or geographic differences. However, few large-scale studies of its etiology have been conducted in Asia. This study aimed to determine the etiology and clinical features of bronchiectasis in Taiwan.
Methods
This longitudinal cohort study investigated the etiology and clinical features of newly diagnosed non-cystic fibrosis bronchiectasis patients from January 2002 to December 2016. The clinical, functional and microbiological data of patients were retrieved from the Chang Gung Research Database, which includes seven medical facilities throughout Taiwan. The index date was the date of the first bronchiectasis diagnosis. Known diseases that were diagnosed before the index date were regarded as etiologies of bronchiectasis.
Results
The cohort comprised 15,729 adult patients with bronchiectasis. Idiopathic (32%) was the most common cause, followed by post-pneumonia (24%). Other causes included post-tuberculosis (12%), chronic obstructive pulmonary disease (14%), asthma (10%), gastroesophageal reflux disease (2%) and rheumatic diseases (2%). At diagnosis, 8487 patients had sputum culture. Pseudomonas aeruginosa (5.3%) was the most common bacteria, followed by non-tuberculosis mycobacteria (3.6%), Haemophilus influenzae (3.4%) and Klebsiella pneumoniae (3.1%), but 6155 (72.1%) had negative sputum cultures. Patients with post-tuberculosis had a higher sputum isolation rate of non-tuberculosis mycobacteria than P. aeruginosa. Patients with post-tuberculosis and post-pneumonia bronchiectasis had a higher frequency of chronic lung infection than other groups (p < 0.05). Clinical characteristics, such as gender, lung function, comorbidities and microbiology, were significantly different between idiopathic and known etiologies.
Conclusions
Idiopathic, post-infection and tuberculosis constitute major bronchiectasis etiologies in Taiwan. Clinical characteristics and sputum microbiology were distinct among separate etiology phenotypes.
Keywords: Comorbidity, Etiology, Microbiology, Non-cystic fibrosis bronchiectasis
Background
Non-cystic fibrosis (CF) bronchiectasis is a chronic pulmonary disease characterized by repeated infection and subsequent destruction to the airway wall, thus resulting in an irreversible dilatation of a portion of the bronchial trees. Bronchiectasis can occur from early childhood to late adulthood, but the average age in US, European, and Australasian cohorts is between 60 and 70 years, and the incidence of bronchiectasis is positively associated with age [1–3]. Geographic variation exists in the etiology, incidence, prevalence and clinical features [4–9]. The most common cause of bronchiectasis is post-infection and other causes include chronic obstructive pulmonary disease (COPD), asthma, connective tissue disease and immunodeficiency [4–6]. Previous studies have reported a lower incidence of COPD and asthma as etiologies of bronchiectasis in Asia than in Western countries [10, 11]. However, tuberculosis is the main cause of post-infectious bronchiectasis in Asian populations [10, 11]. Most types of bronchiectasis are also dominant in Asian regions and reports of their characteristics vary widely because of selection or referral biases, and the extent of testing to seek a diagnosis of bronchiectasis is underreported [7]. A population-based study is therefore needed to evaluate the etiological spectrum of bronchiectasis in Asia.
The microbiology of bronchiectasis also varies by geography [7]. Pseudomonas aeruginosa and Haemophilus influenzae have been identified as the most common bacteria and their presence was associated with frequent exacerbations of bronchiectasis [12]. Nontuberculous mycobacteria (NTM) represent an increasingly common pathogen of bronchiectasis and the coinfection of NTM and P. aeruginosa is associated with more exacerbations and lung function decline [13]. The distribution of pathogens detected in bronchiectasis varies among populations [7]. However, the distribution of pathogens associated with various etiologies has not been investigated deeply due to the limited patient numbers in previous studies.
Nationwide population studies have been conducted to estimate the incidence, prevalence and health-care burden of bronchiectasis [1, 2]. In Asia, there are only limited series data regarding the etiology of bronchiectasis [14]. Thus, this study evaluated the etiology spectrum, microbiology and comorbidity of bronchiectasis in a multicenter bronchiectasis cohort in Taiwan over a 15 year period.
Method
Data source
In this study, we used the Chang Gung Research Database (CGRD) to construct a multicenter bronchiectasis cohort from 2002~2017. The CGRD is an electronic medical record database of Chang Gung Memorial Hospital (CGMH), which is the largest hospital system in Taiwan comprising three medical centers (Linkuo branch, Taipei branch, and Kaohsiung branch) and four regional hospitals (Taoyuan branch, Keelung branch, Keelung branch and Yunlin branch). These hospitals are located across Taiwan (http://www.chang-gung.com/en/index.aspx). The data in the CGRD include demographic data, inpatient and outpatient data, diagnostic codes, details of prescriptions and reports of microbiological, image and functional examinations [15]. More detailed information about CGRD had been reported in a previous article [16].
Bronchiectasis cohort
Initially, patients with diagnoses of bronchiectasis between January 2002 and December 2017 were included in the bronchiectasis group. The diagnosis code of bronchiectasis was according to the International Classification of Diseases, Ninth Clinical Modification (ICD-9-CM) 494.0 or 494.1, or 10th Revision (ICD-10) J47. The diagnosis of bronchiectasis was confirmed by the interpretation of chest radiography or high resolution computed tomography (HRCT), which was independently reviewed by a radiologist. The chest radiographs from the time of diagnosis of bronchiectasis using the criteria included the presence of increased pulmonary markings, honeycomb-like structures, atelectasis, and pleural changes [17]. The presence of bronchiectasis of HRCT was confirmed with the finding of abnormally dilated bronchi near the peripheral lung fields, failure of bronchi to taper with increasing distance from the hilum, or cystic dilatations of the bronchi with or without fluid levels [18]. 10,724 subjects had HRCT images, while 5005 patients were confirmed as bronchiectasis by chest radiographs. The average portion of patients having HRCT images increased annually (2002–2005: 43.1%; 2006–2010: 71.0%; 2011–2016: 90.3%). Symptoms of bronchiectasis in the presence of chronic cough with the production of purulent sputum, hemoptysis, recurrent fever, and pleurisy were recorded and identified by the CGRD database. The diagnosis included both clinical symptoms and radiological images of bronchiectasis. Patients with at least two bronchiectasis diagnoses on different dates in an outpatient visit record or any one from hospitalization were included in the cohort. The index date was defined as the diagnosis date of bronchiectasis. The cohort only included patients aged ≥18 years. Demographic data were collected. We retrieved the image reports, then identified and calculated the total number of affected lobes. The disease extent of 2 was set as a cut-off according to previously described method [19]; thus, the affected bronchiectasis site (< 2 lobes affected, 2 lobes, or ≥ 3 lobes affected) was determined. The lingual lobe was considered a separate lobe.
Etiology, comorbidity, and microbiology
In total, our cohort included 15,729 cases. For bronchiectasis patients, clinicians mostly reviewed history of pulmonary tuberculosis and pneumonia, and performed infection workups (sputum culture and mycobacterial culture) to define a postinfective etiology of bronchiectasis. As the next step, in the absence of a positive history of previous severe respiratory infection, the clinician surveyed an association between bronchiectasis and other diseases, including COPD, asthma, gastroesophageal reflux (GERD), and connective tissue disease. Bronchiectasis associated with COPD was diagnosed by a smoking history of 10 pack-years and airflow obstruction (FEV1/FVC ratio < 0.7) according to the American Thoracic Society (ATS) guidelines [20]. Bronchiectasis associated with asthma was diagnosed in patients without postinfective bronchiectasis and who had severe asthma according to the Global Initiative for Asthma guidelines [21]. The diagnosis of GERD was retrieved by the ICD code, which was made by clinicians and based on symptoms and gastroscopy. In cases of clinical suspicion of immunodeficiency and connective tissue diseases, serum IgG, IgA, IgM, total IgE, specific IgE, and autoimmunity testing, including antinuclear antibodies, extractable nuclear antigens, antineutrophil cytoplasmic antibodies, rheumatoid factor, and anticitrullinated protein antibody, were measured. Thus, only 1505 patients completed the immunoglobulin tests. When primary ciliary dyskinesia was suspected, such as recurrent sinusitis and/or chronic otitis media, nasal mucociliary clearance was measured by the saccharin test. α1-Antitrypsin was evaluated when HRCT revealed the presence of emphysema affecting the lower lobes. Sweat tests were requested if signs and symptoms suggestive of cystic fibrosis were present. Bronchiectasis-associated etiologies were defined as including a history of pneumonia (bacteria, fungus, pertussis and measles) with at least 7 days of antibiotic prescriptions, pulmonary tuberculosis, immune deficiency, asthma, connective tissue disorders, gastroesophageal reflux (GERD), and COPD. Bronchiectasis was defined as idiopathic if the cause was unidentifiable despite a full etiological study before the index date.
Comorbidities obtained from CGRD diagnoses (ICD-9-CM and ICD-10) within 12 months before or after definite diagnosis date of bronchiectasis included ischemic heart disease, cerebrovascular disease, diabetes, liver disease, chronic renal failure, solid tumor and hematological malignancy [22, 23]. We collected sputum microbiology reports within 6 months before or after the index date. The sputum could be taken either in stable state or during exacerbation. Sputum cultures for both bacteria and mycobacteria were performed for each patient with productive cough. Identification of microorganisms and susceptibility testing were taken. Chronic infection was defined as isolation of the same pathogen in two or more cultures, at least 3 months apart within a 12-month span [24]. Pulmonary function test including forced expiratory volume in 1 sec (FEV1), forced vital capacity (FVC), and FEV1/FVC ratio, was performed with a spirometer according to the ATS and the European Respiratory Society (ERS) criteria [25].
Statistics
We used the analysis of variance (ANOVA) test (for more than 3 groups) and Student’s t test to compare numerical data. The chi-square test was used to compare independent categorical data and a chi- square test for trend model was used to evaluate the proportional change between three periods (2002–2006, 2007–2011, and 2012–2016). Data processing and analyses were performed using SAS Enterprise Guide version 7.1 (SAS Institute, Inc.). For all analyses, p value < .05 was considered statistically significant.
Results
In the CGRD, we received data on 19,707 patients with at least one ICD-9-CM 494.0 or 494.1 claim from 2002 to 2016. We excluded patients with only one ICD-9-CM 494.0 or 494.1 claim (n = 3698) and those aged < 18 (n = 280). A total of 15,729 patients who had at least two ICD claims in outpatient visits or any one ICD claim from hospitalization was included in our bronchiectasis cohort (Fig. 1). After the diagnosis of bronchiectasis, most of the patients had follow-up in our clinic. Only 9.2% had only once clinic follow-up. The mean time of follow-up was 3.8 years. A total of 85% of patients were followed up regularly and 66% of the cohort had at least 3 follow-up visits at our clinic in 1 year.
The etiologies of newly diagnosed bronchiectasis patients are listed in Table 1. Post-infection (36.3%) was the most common cause (pneumonia (23.9%) and tuberculosis (12.4%)). Other causes included COPD (14.5%), asthma (10.6%), GERD (2.5%), connective tissue diseases (2.3%) and immunodeficiency (1.3%). Idiopathic bronchiectasis was observed in 32.0% of the cohort. The connective tissue disease group consisted of rheumatoid arthritis (n = 282, 77%), systemic lupus erythematosus (n = 62, 17%), sclerosis (n = 8, 2%), dermatomyositis (n = 9, 2%), and polymyositis (n = 6, 2%). Among the GERD group, 148 (37.1%) performed gastroscopy and 341 (85.5%) received medication for GERD within 1 year of diagnosis.
Table 1.
Total 2002~2016 | N = 15,729 |
---|---|
Etiology | |
Idiopathic | 5036 (32.0) |
Post-infection | |
Tuberculosis | 1950 (12.4) |
Pneumonia | 3766 (23.9) |
Immunodeficiencies | 206 (1.3) |
COPD | 2287 (14.5) |
Asthma | 1664 (10.6) |
Connective tissue disease | 367 (2.3) |
GERD | 399 (2.5) |
Othera | 54 (0.3) |
Note: Data are presented as number (percentage)
COPD Chronic obstructive pulmonary disease, GERD Gastroesophageal reflux disease
aOther include inflammatory bowel disease, Yellow nail syndrome, Alpha-1 antitrypsin deficiency, tracheo-oesophageal fistula, primary ciliary dyskinesia
Clinical characteristics
Among the CGRD bronchiectasis cohort, the average age at diagnosis was 64 years and 49.5% were 65 years or older. In the gender distribution, 54.9% were women. The mean duration for clinical follow-up was 3.8 years. The first diagnosis was made during hospitalization in 26.9% of patients and all others were diagnosed in outpatient clinics. The mean age of newly diagnosed patients increased significantly with time during the 15-year period (Fig. 2).
The clinical characteristics of separate groups of bronchiectasis patients are summarized in Table 2. Patients with COPD were the oldest and had the lowest FEV1 at the initial diagnosis. Patients with post-tuberculosis and other infection had higher rates of first diagnosis during hospitalizations and had the most comorbid malignancy. Patients with immunodeficiency were predominantly female (73.8%) and had more affected lobes and less comorbid malignancy. Idiopathic bronchiectasis was the youngest at diagnosis and had higher FEV1 and the shortest follow-up duration.
Table 2.
Total (N = 15,729) | Idiopathic (n = 5036) | Tuberculosis (n = 1950) | Other infection (n = 3766) | Immuno-deficiencies (n = 206) | COPD (n = 2287) | Asthma (n = 1664) | CTD (n = 367) | GERD (n = 399) | p value | |
---|---|---|---|---|---|---|---|---|---|---|
Age at diagnosis (mean) | 64.0 ± 14.8 | 60.0 ± 15.5 | 64.5 ± 14.9 | 65.5 ± 14.9 | 64.7 ± 13.2 | 67.6 ± 12.6 | 60.2 ± 14.7 | 64.7 ± 13.4 | 60.6 ± 14.0 | < 0.001 |
Age at diagnosis | < 0.001 | |||||||||
< 40 yr | 1041(6.6) | 459(9.1) | 127(6.5) | 204(5.4) | 10(4.9) | 55(2.4) | 148(8.9) | 17(4.6) | 16(4.0) | |
40–65 yr | 6908(43.9) | 2498(49.6) | 743(38.1) | 1440(38.2) | 124(60.2) | 839(36.7) | 823(49.5) | 184(50.1) | 239(59.9) | |
> 65 yr | 7780(49.5) | 2079(41.3) | 1080(55.4) | 2122(56.3) | 72(35.0) | 1393(60.9) | 693(41.6) | 166(45.2) | 144(36.1) | |
Gender, female | 8631(54.9) | 3005(59.7) | 933(47.8) | 1961(52.1) | 152(73.8) | 924(40.4) | 1106(66.5) | 282(76.8) | 244(61.2) | < 0.001 |
HRCT Bronchiectasis site | ||||||||||
< 2 lobes | 2317(56.2) | 685(59.8) | 311(52.9) | 628(55.1) | 24(39.3) | 305(56.3) | 239(56.8) | 50(57.5) | 71(55.4) | < 0.001 |
2 lobes | 1026(24.9) | 259(22.6) | 156(26.5) | 296(25.9) | 24(39.3) | 128(23.7) | 103(24.4) | 22(25.3) | 34(26.6) | < 0.001 |
> 2 lobes | 777(18.9) | 201(17.6) | 121(20.6) | 217(19.0) | 13(21.4) | 108(20.0) | 79(18.8) | 15(17.2) | 23(18.0) | < 0.001 |
Pulmonary function | ||||||||||
Restriction | 2301(28.5) | 658(32.0) | 275(30.4) | 718(36.2) | 47(39.5) | 0(0%) | 481(44.3) | 63(28.5) | 51(25.2) | < 0.001 |
Normal or Obstruction | ||||||||||
FEV1 > 80 | 3286(40.7) | 1055(51.3) | 308(34.0) | 667(33.6) | 57(47.9) | 572(39.2) | 381(35.1) | 99(44.8) | 136(67.3) | < 0.001 |
FEV1 50–80 | 1539(19.1) | 259(12.6) | 193(21.3) | 353(17.8) | 10(8.4) | 496(34.0) | 158(14.5) | 48(21.7) | 11(5.4) | < 0.001 |
FEV1 < 50 | 938(11.6) | 84(4.1) | 130(14.3) | 246(12.4) | 5(4.2) | 390(26.8) | 67(6.2) | 11(5.0) | 4(2.0) | < 0.001 |
Microbiology at diagnosis | ||||||||||
Negative | 6289(75.1) | 1763(78.9) | 1001(71.2) | 1766(71.9) | 88(84.6) | 816(77.1) | 539(75.8) | 134(74.4) | 159(81.5) | < 0.001 |
Pseudomonas aeruginosa | 441(5.3) | 96(4.3) | 54(3.8) | 166(6.8) | 4(3.8) | 63(6.0) | 42(5.9) | 7(3.9) | 8(4.1) | 0.002 |
NTM | 304(3.6) | 89(4.0) | 101(7.2) | 47(1.9) | 3(2.9) | 23(2.2) | 28(3.9) | 5(2.8) | 8(4.1) | < 0.001 |
Haemophilus influenzae | 282(3.4) | 61(2.7) | 27(1.9) | 107(4.4) | 3(2.9) | 35(3.3) | 34(4.8) | 9(5.0) | 6(3.1) | 0.001 |
Klebsiella pneumoniae | 259(3.1) | 68(3.0) | 27(1.9) | 100(4.1) | 0(0.0) | 34(3.2) | 21(3.0) | 3(1.7) | 4(2.1) | 0.007 |
Haemophilus parainfluenzae | 113(1.3) | 34(1.5) | 12(0.9) | 35(1.4) | 1(1.0) | 8(0.8) | 16(2.3) | 5(2.8) | 2(1.0) | 0.089 |
Fungus | 102(1.2) | 26(1.2) | 22(1.6) | 32(1.3) | 0(0.0) | 11(1.0) | 6(0.8) | 3(1.7) | 2(1.0) | 0.787 |
Tuberculosis | 86(1.0) | 3(0.1) | 80(5.7) | 3(0.1) | 0(0.0) | 0(0.0) | 0(0.0) | 0(0.0) | 0(0.0) | < 0.001 |
Staphylococcus aureus | 73(0.9) | 13(0.6) | 11(0.8) | 34(1.4) | 1(1.0) | 7(0.7) | 3(0.4) | 3(1.7) | 1(0.5) | 0.086 |
Chronic infectiona | 195(10.7) | 25(12.8) | 48(24.6) | 68(34.9) | 2(1.0) | 27(13.9) | 16(8.2) | 4(2.1) | 5(2.6) | < 0.001 |
First diagnosis | < 0.001 | |||||||||
Clinic | 11,498(73.1) | 4079(81.0) | 1180(60.5) | 2367(62.9) | 157(76.2) | 1644(71.9) | 1407(84.6) | 284(77.4) | 346(86.7) | |
Hospitalization | 4231(26.9) | 957(19.0) | 770(39.5) | 1399(37.2) | 49(23.8) | 643(28.1) | 257(15.5) | 83(22.6) | 53(13.3) | |
BACI score | 4.75 ± 5.24 | 2.62 ± 4.37 | 5.8 ± 5.86 | 5.78 ± 5.65 | 5.74 ± 5.48 | 6.88 ± 4.9 | 4.64 ± 4.12 | 6.29 ± 5.03 | 2.91 ± 4.27 | <.0001 |
Comorbidity | ||||||||||
Ischemic heart disease | 677(4.3) | 168(3.3) | 93(4.8) | 187(5.0) | 6(2.9) | 127(5.6) | 62(3.7) | 13(3.5) | 18(4.5) | < 0.001 |
Cerebrovascular disease | 638(4.1) | 167(3.3) | 92(4.7) | 213(5.7) | 3(1.5) | 98(4.3) | 35(2.1) | 12(3.3) | 13(3.3) | < 0.001 |
Diabetes | 1066(6.8) | 258(5.1) | 142(7.3) | 350(9.3) | 9(4.4) | 182(8.0) | 88(5.3) | 16(4.4) | 17(4.3) | < 0.001 |
Liver disease | 630(4.0) | 185(3.7) | 96(4.9) | 145(3.9) | 16(7.8) | 105(4.6) | 54(3.2) | 17(4.6) | 9(2.3) | 0.003 |
Chronic kidney disease | 434(2.8) | 93(1.8) | 76(3.9) | 123(3.3) | 5(2.4) | 77(3.4) | 40(2.4) | 12(3.3) | 6(1.5) | < 0.001 |
Solid tumor | 1115(7.1) | 313(6.2) | 183(9.4) | 356(9.5) | 8(3.9) | 147(6.4) | 67(4.0) | 18(4.9) | 15(3.8) | < 0.001 |
Hematological malignancy | 660(4.2) | 201(4.0) | 86(4.4) | 207(5.5) | 9(4.4) | 85(3.7) | 46(2.8) | 14(3.8) | 8(2.0) | < 0.001 |
Follow up period, years | 3.8 ± 4.2 | 2.3 ± 3.6 | 4.4 ± 4.2 | 4.2 ± 4.2 | 4.4 ± 4.4 | 4.4 ± 4.4 | 4.4 ± 4.4 | 5.3 ± 4.5 | 4.6 ± 4.1 | < 0.001 |
Note: Data are presented as number (percentage). CTD Connective tissue disease, GERD Gastroesophageal reflux disease
Analysis of variance (ANOVA) test is used for multiple comparison
aChronic infection: isolation of the same pathogen in two or more cultures, at least 3 months apart in a 12-month span
Time trends of etiology
The etiologies of bronchiectasis exhibited a significant trend of change during the three time periods (Table 3). Post-tuberculosis bronchiectasis gradually decreased, whereas post-pneumonia bronchiectasis gradually increased from 2002 to 2006 to 2012–2016. The percentage of COPD and asthma groups showed a significant reduction from year 2002–2006 to year 2012–2016. However, the time trends of the idiopathic and immunodeficiency groups did not change significantly.
Table 3.
N = 15,729 | 2002~2006 N = 6263 | 2007~2011 N = 4569 | 2012~2016 N = 4897 | p value | |
---|---|---|---|---|---|
Etiology | |||||
Idiopathic | 5036 (32.0) | 1990(31.8) | 1533(33.6) | 1513(30.9) | 0.4752 |
Post-infection | |||||
Tuberculosis | 1950 (12.4) | 845(13.5) | 575(12.6) | 530(10.8) | <.0001 |
Pneumonia | 3766(23.9) | 1376(22.0) | 1102(24.1) | 1288(26.3) | <.0001 |
Immunodeficiencies | 206(1.3) | 75(1.2) | 64(1.4) | 67(1.4) | 0.4077 |
COPD | 2287(14.5) | 1038(16.6) | 584(12.8) | 665(13.6) | <.0001 |
Asthma | 1664(10.6) | 727(11.6) | 470(10.3) | 467(9.5) | 0.0004 |
Connective tissue disease | 367(2.3) | 128(2.0) | 103(2.3) | 136(2.8) | 0.0119 |
GERD | 399(2.5) | 67(1.1) | 122(2.7) | 210(4.3) | <.0001 |
Othera | 54(0.3) | 17(0.3) | 16(0.4) | 21(0.4) | 0.1574 |
Note: Data are presented as number (percentage),
COPD Chronic obstructive pulmonary disease, GERD Gastroesophageal reflux disease
aOther include inflammatory bowel disease, Yellow nail syndrome, Alpha-1 antitrypsin deficiency, tracheo-oesophageal fistula, primary ciliary dyskinesia
The statistical analysis is the chi-square (χ2) test for trend model
Microbiology
At diagnosis, 8385 patients had sputum cultures. P. aeruginosa (5.3%) was the most common bacteria, followed by non-tuberculosis mycobacteria (NTM, 3.6%), H. influenzae (3.4%) and Klebsiella pneumoniae (3.1%). A total of 6289 (75.1%) patients had negative sputum culture at diagnosis. However, post-tuberculosis bronchiectasis had higher sputum isolation rate of NTM than P. aeruginosa. In total, 1824 patients received two or more cultures, at least 3 months apart in a 12-month span and 10.7% had chronic infection. The microorganisms of chronic infection are listed in Table 4. The different etiologies showed diverse microbiological patterns. Patients with post-tuberculosis and post-pneumonia bronchiectasis had a higher frequency of chronic lung infection (p < 0.05). Among post-pneumonia bronchiectasis, the ten most common pathogens of sputum culture during pneumonia were P. aeruginosa (22.4%), K. pneumoniae (11.5%), H. influenza (10.5%), Staphylococcus aureus (6.6%), Haemophilus parainfluenzae (4.4%), Acinetobacter baumannii (4.1%), Streptococcus pneumoniae (3.6%), Acinetobacter baumannii-MDR strain (2.5%), Escherichia coli (2.5%), and mold (2.2%).
Table 4.
Repeated Sputum culture | n = 2255 |
---|---|
Negative | 1685 (75.0%) |
Pseudomonas aeruginosa | 143 (6.3%) |
NTM | 107 (4.7%) |
Klebsiella pneumoniae | 61 (2.7%) |
Staphylococcus aureus | 44 (2.0%) |
Haemophilus influenzae | 29 (1.3%) |
Acinetobacter baumannii | 22 (1.0%) |
Fungus | 18 (0.8%) |
Haemophilus parainfluenzae | 14 (0.6%) |
Escherichia coli | 14 (0.6%) |
Streptococcus pneumoniae | 10 (0.4%) |
Acinetobacter baumannii-MDR strain/PDR strain | 11 (0.5%) |
Tuberculosis | 10 (0.4%) |
K pneumoniae-ESBL strain | 8 (0.4%) |
Other | 79 (3.5%) |
Discussion
Our study investigated the clinical characteristics of non-CF bronchiectasis over a 15-year period in Taiwan. Bronchiectasis with different etiologies exhibited distinctive features of age, gender, microbiology and comorbidities. Our study demonstrated that postinfectious bronchiectasis was the main etiology, and it had the highest rate of chronic infection. NTM infection ranked first in post-tuberculosis bronchiectasis. With regard to the trend of newly- diagnosed bronchiectasis in Taiwan, we observed that post-tuberculosis bronchiectasis significantly decreased, whereas the cause of other infectious bronchiectasis increased during the 15-year period. Bronchiectasis caused by GERD also increased during the study period. The prevalence of bronchiectasis was also higher in the elderly and dominant in women. Taken together, the results of our study provide crucial information on the epidemiology of bronchiectasis in Asia.
The prevalence of bronchiectasis increased with patient age in previous studies [1, 2]. Likewise, we observed that 50% of patients in the bronchiectasis cohort were over 65 years old [26]. Increased age is considered a risk factor for bronchiectasis [27]. Older adults were more likely to be symptomatic and thus experience a worse quality of life. Multimorbidity is common among patients with bronchiectasis and is associated with an increased risk of hospitalization with a severe exacerbation and mortality [28], thus leading to a significant economic burden in society [29]. Our results revealed that the mean age of newly diagnosed bronchiectasis patients has risen in the past 15 years. Taiwan is an aging society and population aging is associated with increased multiple chronic conditions among people aged 65 years or older [30, 31]. Therefore, surveying the epidemiology of bronchiectasis and evaluating disease phenotypes are crucial in Taiwan to improve diagnosis and ensure adequate treatment of bronchiectasis patients, thus, reducing the negative effects on quality of life and health-care burden.
We report a 36% rate of postinfectious bronchiectasis, which is compatible with previous studies (20–70%) [6, 9–11]. A history of tuberculosis is positively associated with the presence of chronic respiratory diseases, particularly bronchiectasis [32]. The strongest associations between tuberculosis and bronchiectasis have been observed in countries with a high incidence of tuberculosis [32]. The high proportion of post-tuberculosis bronchiectasis in our cohort may be that tuberculosis is still prevalent in Taiwan. Therefore, screening for tuberculosis or tracing history of tuberculosis should be performed in newly diagnosed bronchiectasis patients. Due to the public health policy for tuberculosis control and directly observed treatment (short course), the prevalence of tuberculosis in Taiwan continued to decline from 2005 to 2017 (see https://daily.cdc.gov.tw/stoptb/CareMagChart.aspx (the incidence rate is per 100,000 people in the graph, Taiwan Centers for Disease Control website) [33]. This study also found that the incidence of post-tuberculosis declined despite that of infectious etiology overall remaining constant because the number of patients with infections other than tuberculosis increased.
Bronchiectasis is increasingly recognized as a complication of asthma and COPD, particularly those of advanced stages [34, 35]. In our cohort, COPD-associated bronchiectasis was the third most common etiologic group (15%), with the oldest age and the most severe airflow obstruction. Although a causal association has not been determined, bronchiectasis in patients with COPD has been reported to have the existence of chronic bronchial infection associated with a greater bacterial load [36, 37], an increase in both local and systemic inflammation [37, 38], and a greater frequency and severity of exacerbations [37, 39]. Thus, it may be biologically plausible that COPD, particularly infection and exacerbation, could be the cause of bronchiectasis without any other known etiology. A higher mortality was reported in bronchiectasis overlapping COPD than COPD alone [38]. Future research should investigate specific biomarkers linking COPD and bronchiectasis, such as neutrophilic inflammation, COPD phenotypes, bronchial wall thickening of image surveys, or increased susceptibility to chronic bronchial infection. Thus, we could identify the risk factors of COPD-associated bronchiectasis to determine the optimal treatment and to decrease the health-care burden. In our study, the proportion of COPD-associated bronchiectasis was higher than those previously reported in Asian populations [9–11]. A higher prevalence (20 to 52%) of COPD has been observed in patients with bronchiectasis in the United Kingdom and United States [1, 2]. Geographic variations of COPD-associated bronchiectasis still exist and future studies are needed to survey the prevalence and prognosis of this specific phenotype in Asian populations.
We reported a 32% rate of idiopathic bronchiectasis, which is comparable to previous studies (6 to 77%) [6, 9–11]. Idiopathic bronchiectasis was reported to be highly variable because of differences in enrolled study populations, criteria of etiologies and whether diagnoses are based on diagnostic exams or ICD codes. This study was based on databases of medical centers; thus, idiopathic bronchiectasis may be less common in our database compared to local medical clinics.
GERD, a possible etiology of bronchiectasis, has not been well investigated. GERD is a risk factor for recurrent microaspiration, which may cause airway irritation, lung injury, or decreased lung function [40, 41]. Our results demonstrated that GERD in bronchiectasis increased during the 15-year period. Greater lung function loss and increased severity of disease on high-resolution computed tomography were found in patients with GERD-associated bronchiectasis [42]. Therefore, GERD should be considered for patients with bronchiectasis who have no prominent etiology and decreased lung function.
Prominent geographic differences in microbiology have been reported [7]. In our cohort, P. aeruginosa, NTM, H. influenza, and K. pneumoniae were found to be major pathogens. This study was based on the CGRD of real-world clinical practice, and not all patients received sputum culture at the initial diagnosis of bronchiectasis. Our etiology groups exhibited different microbiology spectra. P. aeruginosa and H. influenza were the major pathogens in the postinfection and COPD groups, whereas NTM was the most common pathogen in post-tuberculosis group. Several groups have reported variable prevalence of NTM infection in Asia (2–4% in southern China and 44.5% in South Korea) [4, 43]. The specific microbiology spectrum of different etiologies has been reported in an Indian population cohort, in which post-infection, post-tuberculosis and idiopathic groups grew more species of cultured bacteria and P. aeruginosa, Enterobacteriaceae species and S. aureus were the most common pathogens, while NTM was uncommon in the cohort [14]. Chronic infection is associated with increased exacerbation frequency, accelerated rate of lung function decline and increased mortality [12, 13, 44]. In our cohort, some patients developed chronic infection within 1 year of the first bronchiectasis diagnosis, especially in post-infection, COPD and idiopathic groups. Therefore, these patients should be monitored with routine or repeated culture of sputum samples, to obtain possible pathogens of chronic lung infection as well as guidance for future antibiotic therapies and pulmonary rehabilitation.
Patients with bronchiectasis may have multiple comorbidities and exhibit a higher prevalence of hypertension, diabetes mellitus, hyperlipidaemia, osteoporosis and cancer [28, 45]. Cancer incidence was higher among bronchiectasis patients than among other patients (17.0 vs. 12.2 per 1000 person-years) in a large population-based cohort of Taiwan during a 14-year follow-up period [46]. Chronic inflammation and hypoxia in bronchiectasis may be related to cancer development through abnormal proliferation, tissue repair, and metastasis [47, 48]. Our results indicated that the post-infectious and post-tuberculosis subtypes had higher malignancy rates than the other groups.
The strength of this study is that it was a longitudinal cohort study over 15 years, which allowed us to present the trend of age and etiology of bronchiectasis, which were scarcely reported in Asia. Population-based databases in general lack data on laboratory tests, imaging and functional results. The CGRD cohort was representative of patients diagnosed with bronchiectasis in medical centers and regional hospitals across Taiwan, and the benefits of the CGRD were more accurate diagnosis using laboratory data, image studies, and lung function reports.
The limitations of this study are as follows. First, inherent limitations in claims-based analysis include the inability to completely confirm the bronchiectasis diagnosis. The CGRD database is based on real-world clinical practice, and clinicians made the diagnoses of bronchiectasis according to clinical symptoms, history and radiology reports. We identified patients with bronchiectasis by ICD code and a portion of bronchiectasis diagnoses may be based on clinical symptoms and chest radiographs, which has been criticized as not being a reliable diagnostic tool. Second, the tests for serum IgG, IgA, IgM, total IgE, and specific IgE were measured in cases of clinical suspicion of immunodeficiency. Thus, only 1505 patients completed the immunoglobulin tests. Therefore, we may have underestimated the prevalence of immunodeficiency in our cohort. In addition, we identified the etiology mainly by ICD-9/10 codes; thus, some diseases such as allergic bronchopulmonary aspergillosis, Mounier-Kuhn, Williams-Campbell were not listed in ICD-9/10 codes, so we should identify these diseases by searching radiological reports (CT, bronchoscopy), and add an immune screen for these patients in clinical practice in the future. Third, because some parameters were lacking or incomplete from the CGRD, we could not derive the bronchiectasis severity index for disease prediction. Fourth, we were unable to analyze the general prevalence and incidence of bronchiectasis in Taiwan because CGRD didn’t include the entire population. Fourth, the CGRD cohort was from tertiary medical centers and regional hospitals; thus, the patients might have features of more severe bronchiectasis.
Conclusion
We identified 15,729 patients with a diagnosis claim of bronchiectasis from CGRD over a 15-year period. Postinfection was the main etiology and post-tuberculosis bronchiectasis decreased over the period. The microbiology and comorbidities of bronchiectasis differed in these specific phenotypes. The study provides evidence for ethnic and geographical differences in bronchiectasis and may contribute to the development of more personalized approaches to diagnosis and management in the future.
Acknowledgments
The authors thank the statistical assistance and wish to acknowledge the support of the Maintenance Project of the Center for Big Data Analytics and Statistics (Grant CLRPG3D0046) at Chang Gung Memorial Hospital for study design and monitor, data analysis and interpretation.
This study is based in part on data from the Chang Gung Research Database provided by Chang Gung Memorial Hospital. The interpretation and conclusions contained herein do not represent the position of Chang Gung Memorial Hospital.
Abbreviations
- CF
cystic fibrosis
- CGMH
Chang Gung Memorial Hospital.
- CGRD
Chang Gung Research Database.
- COPD
chronic obstructive pulmonary disease.
- FEV1
forced expiratory volume in one second.
- GERD
gastroesophageal reflux.
- HRCT
high resolution computed tomography.
- ICD
International Classification of Diseases.
- NHIRD
national health insurance database.
- NTM
Nontuberculous mycobacteria.
Authors’ contributions
Author Contributions: Conceptualization, HYH, HCL and CHW; Investigation, FTC and CYL; Methodology, YTH and HCL; Data Curation, CHY, CWL and YCH; Validation, LYY and YTH; Writing – Original Draft Preparation, HYH and CHW; Writing – Review & Editing, CHW. All authors read and approved the final manuscript.
Funding
This study was supported by Chang Gung Memorial Hospital Research Project Grant (CMRPG3F1492, CMRPG3B1323, CMRPG3F1501, CMRPG3F1502, CMRPG3H0931 and CIRPD1D0031; SPMRP-U1–3001). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Availability of data and materials
The data will not be shared according to the regulations of Chang Gung Memorial Hospital IRB for patient confidentiality.
Ethics approval and consent to participate
The Institutional Review Board of Chang Gung Memorial Hospital approved this study (IRB number: 201800712B0C502). The IRB determined that written informed consent was not applicable for the Chang Gung Research Database.
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
Footnotes
Publisher’s Note
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Contributor Information
Hung-Yu Huang, Email: compaction71@gmail.com.
Fu-Tsai Chung, Email: vikingchung@yahoo.com.tw.
Chun-Yu Lo, Email: mixova@yahoo.com.
Horng-Chyuan Lin, Email: lhc53424@cgmh.org.tw.
Yu-Tung Huang, Email: anton.huang@gmail.com.
Chih-Hsin Yeh, Email: apple1660719@gmail.com.
Chang-Wei Lin, Email: naturewei@cgmh.org.tw.
Yu-Chen Huang, Email: yuchenhahaha@cgmh.org.tw.
Chun-Hua Wang, Email: wchunhua@ms7.hinet.net.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The data will not be shared according to the regulations of Chang Gung Memorial Hospital IRB for patient confidentiality.