Tuberc Respir Dis > Epub ahead of print
Phan, Vu, and Ngo: Management of Chronic Obstructive Pulmonary Disease in Vietnam during the COVID-19 Period: Current Situation and Challenges

Abstract

Background

To assess the alterations in exacerbation rates, other clinical outcomes, and to identify persistent challenges in the management of chronic obstructive pulmonary disease (COPD) in Vietnamese COPD management units (CMUs).

Methods

A multi-center, prospective cohort study was conducted on COPD within the CMUs of three study sites. The primary endpoint was exacerbation frequency. Data on demographic and clinical characteristics were collected at the initiation of the study. Participants were followed for 12 to 15 months after enrollment.

Results

Throughout the follow-up period, a decrease was noted in the prevalence of patients requiring hospitalization (from 42.3% to 34.4%) and intensive care unit/emergency department admissions (from 5.7% to 0.6%). The annual rates of exacerbation and hospitalization were 0.75±0.89 and 0.56±0.70, respectively. Factors such as symptom severity, degree of airflow obstruction, and body mass index were associated with increased exacerbation frequency and elevated annual exacerbation rates. Our findings underscore the complexities and obstacles encountered in managing COPD during the coronavirus disease 2019 (COVID-19) pandemic, including the rise in smoking prevalence, inadequate testing rates, and non-compliance with established treatment guidelines.

Conclusion

Our study elucidates the challenges and difficulties in managing COPD amidst the COVID-19 pandemic, highlighting issues such as increased smoking rates, insufficient testing, and deviations from established therapeutic guidelines. These insights lay the groundwork for future intervention strategies and policy enhancements.

Introduction

Chronic obstructive pulmonary disease (COPD) is a chronic disorder that progressively impairs the respiratory system, resulting in gradual airflow limitation. The disease is primarily caused by prolonged exposure to environmental irritants such as cigarette smoke, air pollution, and occupational dust and chemicals [1]. Although no cure for COPD is known, available maintenance medications have been proven to reduce the risk of exacerbations, manage symptoms, and enhance quality of life [2]. COPD represents a significant global public health issue. As of 2019, it was estimated to affect 10.3% of the global population, equivalent to 391.9 million individuals, with 80.5% residing in low- and middle-income countries. Moreover, this prevalence is expected to increase due to population aging and heightened exposure to environmental risk factors such as smoking and air pollution [3]. The prevalence of COPD in Vietnam is estimated, according to previous studies, to range between 7% and 10% [4-6].
In developed countries, the multi-disciplinary management model is increasingly prevalent in the management of COPD. This model requires collaboration among various specialties and multiple service types in assessing, treating, and caring for COPD patients, encompassing primary healthcare, rehabilitation, respiratory services, mental health, and nutrition. Central to the multi-disciplinary management model is the principle of patient-centered care, wherein evaluations prioritize treatable traits, leading to the creation of customized intervention plans that cater to the individual needs of each patient. Interventions are coordinated across different disciplines, with an emphasis on controlling symptoms, managing risk factors for disease progression, exacerbations, and enhancing quality of life [7-9]. Prior studies have confirmed the efficacy of the multi-disciplinary COPD management model in diminishing disease burden [10-13], yet its significant resource demands limit its application primarily to developed regions. The implementation of this model in low- and middle-income countries might be impractical and could necessitate substantial modifications [14].
In Vietnam, the COPD management system features COPD management units (CMUs), distributed across three tiers integrated with the existing tiered healthcare system. These include: tier 1 as primary healthcare services; tier 2 as outpatient clinics equipped to perform basic diagnostic tests such as chest X-rays, spirometry, and blood tests; and tier 3 as regional, provincial, or city-level general hospitals with respiratory specialists and facilities for advanced diagnosis and treatment [15]. In an effort to mitigate the growing burden of COPD, Vietnam had established 245 CMUs nationwide by September 2020, and by December 2020, these units had provided care for 636,828 COPD patients [16].
Despite these efforts, the management of chronic respiratory diseases in Vietnam encounters specific challenges that distinguish it from other low- and middle-income countries. A 2021 Vietnamese qualitative study identified unique barriers to healthcare access, including complex pathways that delay diagnosis, limited patient knowledge that hinders timely care, and reliance on family support for navigationsystem [17]. Additionally, health insurance policies frequently fail to provide adequate coverage for essential diagnostic tests such as spirometry, recommended critical long-acting medications by international guidelines, and preventive measures like smoking cessation programs, pulmonary rehabilitation, and vaccinations for influenza and pneumococcal infections, which are either excluded or only minimally reimbursed [18].
Until now, no study had been conducted to assess the efficacy of these CMUs over the years. To bridge these gaps, this study aimed to evaluate the changes in exacerbation rates and other clinical outcomes among COPD patients managed at CMUs, thereby laying the groundwork for community interventions and future policy developments.

Materials and Methods

1. Study design

A multi-center, prospective cohort study was conducted involving 352 COPD patients from August 2020 to August 2023 at the CMUs of Dong Da General Hospital, Thanh Hoa Lung Hospital, and Hai Phong Tuberculosis and Lung Disease Hospital.

2. Eligibility

Eligible participants included those over 40 years old who had participated in the ‘Vietnam Healthy Lung program’ for at least 12 months and had a prior diagnosis of COPD. Exclusions included pregnancy/breast feeding, as well as participants with other respiratory conditions such as bronchiectasis, tuberculosis, lung cancer, pneumonia, and bronchitis.

3. Study outcomes

COPD exacerbation was defined as the primary outcome of this study according to the Global Initiative for Obstructive Lung Disease (GOLD) 2018 criteria, which included: (1) hospitalization/emergency department (ED) visit due to COPD exacerbation; (2) outpatient treatment with oral corticosteroids or antibiotics for COPD exacerbation; and (3) mild exacerbation requiring additional short-acting bronchodilators [19]. Exacerbations leading to hospitalization were defined as instances where physicians directed patients to be treated in the general internal medicine or respiratory internal medicine wards specifically for COPD-related issues, excluding comorbid conditions (as documented in the treatment medical records). Severe exacerbations requiring ED or intensive care unit (ICU) admission were characterized by acute respiratory failure symptoms necessitating invasive or noninvasive ventilation at the ED or ICU, as noted in the medical records at the treating facility. To mitigate recall bias concerning mild exacerbations and short-term treatments not officially diagnosed and managed by physicians, the research team employed questionnaires addressing symptom worsening and the need for additional short-acting bronchodilators, as well as the quantity of rescue inhalers procured over the counter. For non-hospitalized exacerbations (outpatient), medication prescriptions at the research facility were reviewed, and patients were requested to provide any relevant medication receipts linked to respiratory symptoms for exacerbations self-managed at home. For those hospitalized in other facilities, the research team requested hospital payment receipts from patients to verify their attestations.

4. Sample size

The sample size was determined based on the annual exacerbation rate of COPD in the Asia-Pacific population reported by a prior study [6], with the expected reduction in exacerbation rate after 1 year in patients managed in an outpatient setting [20,21]. Starting with a baseline COPD exacerbation rate of 45%, an expected rate of 15% at 1-year follow-up, a 10% margin of error, and a 95% confidence level, the calculated minimum sample size required was 300 patients. Anticipating a 30% loss-to-follow-up, the research aimed to enroll 400 patients.

5. Data collection

Patients meeting the selection criteria without any exclusions were informed about the study’s objectives, procedures, and the data to be collected. After obtaining written consent, a comprehensive assessment was conducted to collect demographic information, including age, sex, income, insurance coverage, weight, height, smoking history, and comorbidities. For the 12 months preceding study enrollment, data on medication adherence, number of exacerbations, and days of non-hospitalized/hospitalized exacerbations, including total ICU admissions, were collected retrospectively. This information was gathered either through direct patient interviews or by extracting it from their medical records. Additionally, the presence of dyspnea, wheezing, and cough was assessed at the time of the evaluation.
The severity of symptoms was further assessed using the COPD assessment test (CAT) score and the modified Medical Research Council (mMRC) dyspnea scale. The CAT questionnaire includes eight questions that assess symptom severity on a scale of 0-5, with cumulative scores ranging from 0 to 40; higher scores indicate greater symptom impact on daily life. CAT scores are categorized as follows: 0-10 for mild symptoms, 11-20 for moderate symptoms, 21-30 for severe symptoms, and 31-40 for very severe symptoms. The mMRC is another tool used to evaluate the impact of breathlessness on daily activities, ranging from 0 (no breathlessness) to 4 (severe breathlessness that severely limits daily activities).
Spirometry indices, including forced expiratory volume in 1 second (FEV1), forced vital capacity (FVC), and the FEV1/FVC ratio, were obtained from the most recent patient spirometry tests. Airflow obstruction severity was classified into four categories based on post-bronchodilator FEV1 results: mild (≥80% of predicted value), moderate (50%-79% of predicted value), severe (30%-49% of predicted value), and very severe (<30% of predicted value). This study also collected indices and characteristics from complete blood count (CBC) and chest X-rays; however, due to substantial data missing, we reported only the number and percentage of these tests ordered.
Participants’ medication adherence was evaluated using the 8-item Morisky Medication Adherence Scale (MMAS-8), which consists of eight questions assessing medication-taking behaviors over the previous 2 weeks. These questions address factors such as forgetfulness, beliefs about medication, and medication-taking routines. The MMAS-8 is scored on a 0-8 scale, where higher scores indicate better adherence. Scores are interpreted as follows: 8 represents good adherence, 6-7 moderate adherence, and scores below 6 indicate poor adherence.
The study participants were consistently managed at the CMUs across the three study sites. They were scheduled for a follow-up evaluation 12 to 15 months after inclusion in the study. This follow-up appointment was arranged either via telephone reminders by the research team or was directly during their routine follow-up visits. The data collected during this follow-up assessment included smoking status, symptom severity classified by the mMRC and CAT scales, medications utilized in the past 12 months, treatment adherence levels according to the Morisky classification, spirometry parameters, and information regarding COPD exacerbations. Figure 1 summarizes the screening, recruitment, and follow-up processes of this study.

6. Statistical analysis

Continuous variables were presented as mean±standard deviation, while categorical variables were expressed as qualitative values and percentages. For continuous variables with a normal distribution, differences between groups were assessed using a t-test. For those without a normal distribution, group differences were evaluated using the Mann-Whitney or Kruskal-Wallis analysis. For categorical variables, prevalence differences were examined using the chi-square test; when the frequency in one group was less than 5, the Fisher’s exact test was used. Baseline and follow-up evaluations were compared as follows: for continuous variables with a normal distribution, the Student’s t-test was employed; for continuous variables without a normal distribution, the Wilcoxon signed rank test was used; and for categorical variables, the McNemar test was applied.
The annual exacerbation rate over the 2-year study period (calculated by dividing the total number of exacerbations by the 2-year follow-up period) and the annual hospitalization rate were included as the primary outcomes in multivariable regression models. A Poisson regression model was used for these primary outcomes. Due to the potential impact of recall bias, non-hospitalized exacerbations were not included as dependent variables in these models. Independent variables considered for regression analysis included demographic/socioeconomic characteristics (age, sex, body mass index [BMI], income, insurance coverage), as well as clinical characteristics at study baseline such as smoking status, comorbidities, symptom severity assessed by CAT and mMRC, degree of airflow obstruction measured by spirometry, and treatment adherence. The selection of variables for inclusion in the model was based on literature review and clinical experience; furthermore, variables demonstrating correlations in univariate analysis were also considered for inclusion in regression models.
All analyses were conducted using SPSS version 23.0 software (IBM Corp, Armonk, NY, US), with statistical significance established at a threshold of p<0.05.

7. Ethical approval

The study was conducted in accordance with the Declaration of Helsinki and received approval from the Vietnam National Ethics Committee in Biomedical Research under decision No. 05/CN-HĐĐĐ, dated January 14th, 2020. Informed consent was obtained from each patient prior to their participation in the study. The investigators were responsible for ensuring the privacy and confidentiality of the patients in accordance with Vietnam’s regulations and Good Clinical Practice guidelines.

Results

A total of 518 COPD patients were enrolled at baseline; over the 2-year follow-up, 166 were loss to follow-up (LTFU), resulting in 352 patients being included in the final analysis. The mean age was 65.94±8.19 years, with the majority being male (87.8%). Hypertension was the most prevalent comorbidity (30.1%), followed by gastroesophageal reflux disease (16.3%). The majority of participants were either former smokers (62.5%) or current smokers (21.6%). The majority of patients exhibited moderate to severe symptoms, according to the mMRC (58.5%) and CAT (93.8%) classifications, with high treatment adherence (76.4%). The prevalence of airflow obstruction classified as mild, moderate, severe, and very severe were 44.6%, 27%, 9.7%, respectively. The rates of participants with exacerbations, hospitalized exacerbations, and ICU/ED admissions were 49.7%, 42.3%, and 5.7%, respectively. No statistically significant differences were observed in sociodemographic and clinical characteristics between the LTFU group and non-LTFU group (Table 1).
Throughout the follow-up period, the number of smokers increased from 76 (21.6%) to 90 (25.6%); the proportion of patients with an mMRC score ≥2 decreased from 58.5% to 47.6%. Testing frequency increased for CBC, chest X-ray, and spirometry, with spirometry results indicating improvements as the very severe COPD category decreased from 9.7% to 5.8%. Medication usage remained largely stable, except for a reduction in short-acting beta agonist (SABA) abuse (from 33% to 19%). The percentage of patients with poor treatment adherence slightly decreased from 10.5% to 6.5%, while the number of follow-up visits per year declined from 11.75±2.14 to 7.12±2.30. A reduction was also observed in patients with hospitalized/ICU/ED exacerbations and in hospitalization days (Table 2). The annual rates for exacerbations and hospitalizations were 0.75±0.89 and 0.56±0.70 exacerbations per year, respectively, while the annual numbers of hospitalization and ICU days were 13.84±9.53 and 5.05±5.35 days per year (Supplementary Table S1).
The annual exacerbation rate was elevated in both the underweight and overweight groups compared to the normal weight cohort. The annual hospitalization rate was higher in males compared to females and was increased in the underweight group in comparison to the normal and overweight groups. Both the rates of annual exacerbations and hospitalizations were elevated in the mMRC ≥2 group, correlating with increased severity of airflow obstruction (Supplementary Table S2). Results from the Poisson regression model demonstrated that symptom severity, as assessed by mMRC, was linked to higher rates of annual exacerbations and hospitalizations, whereas the severity of airflow obstruction was related to an increase in the annual hospitalization rate. In addition, BMI was associated with an elevated annual exacerbation rate (Table 3).

Discussion

Our study aimed to assess the improvement in COPD exacerbation rates among patients managed at CMUs. The study results indicated reductions in the prevalence of patients requiring hospitalization (decreased from 42.3% to 34.4%) and ICU/ED admissions (decreased from 5.7% to 0.6%). Our findings are consistent with those of previous studies conducted at CMUs and specialized COPD clinics. A 2011 study evaluating the effectiveness of specialized outpatient clinics for COPD monitored 117 patients over a 6-month period. It reported improvements in patient quality of life at the 6-month mark (St. George’s Respiratory Questionnaire score decreased from 35.6±18.9 to 28.4±16.6, p=0.018), as well as in the rates of exacerbations (decreased from 3.3 to 1.1 exacerbations per year) and hospitalizations (decreased from 1.4 to 0.48 admissions per year) [22]. EPOCONSUL (2019) was a comprehensive cross-sectional study conducted in Spain, involving 4,508 COPD patients attending general medical clinics and specialized CMUs. It revealed that patients attending specialized units exhibited more severe airway obstructions, more pronounced respiratory symptoms, and greater comorbidity rates compared to those attending general medical clinics. Compared to standard medical clinics, specialized CMUs demonstrated superior exacerbation control, with 70.5% of patients experiencing no post-treatment exacerbations compared to 56.1% (p<0.001). These units also displayed enhanced testing capabilities and better treatment adherence [23]. However, our findings should be interpreted with caution, as the observed reduction in exacerbations could be influenced by the coronavirus disease 2019 (COVID-19) pandemic. On one side, the scarcity of resources and infrastructure for COPD care might limit healthcare facilities from treating COPD patients. On the other side, respiratory symptoms common to both COPD and COVID-19 present significant challenges; these symptoms might go unreported as patients may fear community stigma, be concerned about being categorized as high-risk and needing isolation, or be erroneously referred to COVID-19 isolation and treatment facilities rather than receiving COPD care.
Our study also observed a pattern of airflow obstruction severity, characterized by a predominance of moderate to severe obstruction, analogous to data from prior studies on COPD populations in Korea [24], Spain [23], and Europe [25]. This indicates that a significant proportion of Vietnamese COPD patients present with advanced disease at the time of diagnosis, potentially influencing management strategies and outcomes.
Our study results also highlighted challenges in managing COPD patients at CMU, the first being the increase in the number of COPD patients returning to smoking during the COVID-19 epidemic. From a community perspective, smoking cessation emerged as the most effective intervention for the COPD population, as successful control of smoking habits among patients was associated with reduced frequency and severity of exacerbations [26], decreased hospitalization rates [27], and a notable improvement in quality of life [28]. Additionally, smoking cessation has been demonstrated to be the only intervention effective at improving respiratory function and survival rates in mild to moderate COPD patients [29]. In the management strategy for COPD patients, smoking cessation has proven to be more cost-effective than other interventions [30,31]. For these reasons, smoking cessation interventions, including behavioral changes and nicotine replacement therapy, are regarded as crucial elements in the treatment strategy endorsed by both the Ministry of Health and GOLD 2022 [32,33]. However, limited resources made it challenging to routinely implement smoking cessation interventions at CMUs in Vietnam. During regular check-ups, patients typically received smoking cessation advice solely from their treating physicians, rather than from professionally trained healthcare staff knowledgeable about smoking cessation practices and procedures [34,35]. Moreover, nicotine replacement therapies were not widely available in the market and were not included on the list of items covered by health insurance for reimbursement. Consequently, the outcomes of smoking cessation for patients with COPD might not achieve the desired levels of improvement.
The challenge of managing COPD patients at CMU was underscored by the diagnostic testing rates, encompassing spirometry, CBC, and chest X-ray. The study noted a decrease in spirometry/bronchodilator tests, and although there was a rise in X-ray/CBC examinations over time, still approximately one-third to half of the patients were not prescribed CBC and chest X-ray annually. Previous studies have documented similar issues with laboratory ordering in COPD management [36-38]. Spirometry delivers critical indicators for COPD management, as increased severity of dyspnea does not necessarily indicate an exacerbation, particularly in the substantial proportion of COPD patients with comorbid cardiovascular diseases, which may also cause dyspnea [39]. Moreover, spirometry serves as a robust prognostic tool, as FEV1 is strongly associated with primary outcomes in COPD patients, including exacerbation, hospitalization, and mortality [36-38]. The absence of spirometry in COPD monitoring inevitably leads to delayed diagnosis and management, thereby exposing patients to the risk of exacerbations or severe airflow obstruction. Additionally, the eosinophil count in CBC also plays a pivotal role in COPD management, aiding in exacerbation prediction for risk stratification and guiding treatment decisions regarding inhaled corticosteroid (ICS) [40]. Owing to these roles, CBC and spirometry have been endorsed by both the Vietnamese Ministry of Health and GOLD in COPD management [32,33]. Although not a primary diagnostic and treatment monitoring tool, chest X-rays still provide vital information on various aspects including comorbidities, complications, and differential diagnosis. The infrequent use of chest X-rays in clinical practice may lead to delayed or missed diagnoses, particularly for conditions that can be confused with the chronic respiratory context of COPD, such as pleural diseases, pulmonary fibrosis, and lung cancer [41,42].
The final management challenge identified in our study was inappropriate medication use, with SABA and ICS being the predominant medications, while long-acting beta agonist constituted only a very small proportion during the study period. According to the Vietnamese Ministry of Health and GOLD, long-acting agents play a foundational role in COPD treatment. Pre-treatment eosinophil count testing is essential to identify individuals who would benefit from ICS treatment, while SABA are recommended only during exacerbations. Similar patterns of SABA and ICS dominance have been observed in previous studies on COPD management in low- and middle-income regions, primarily due to an imbalance in the availability and affordability of these medications, as well as the knowledge and prescribing practices of treating physicians [25,43,44].
Overall, our study results identified challenges in COPD management, reflecting the absence of long-acting muscarinic antagonist medications, insufficient professional smoking cessation interventions, and low rates of testing requests. The current management situation resulted from a combination of factors that persisted throughout the study period. Firstly, the study was conducted during the COVID-19 pandemic, which significantly influenced the entire socioeconomic landscape, particularly affecting the healthcare sector. Infrastructure and personnel dedicated to COPD care and management across the country were reallocated to support COVID-19 treatment efforts, leading to a severe shortage of resources for managing COPD. Secondly, the limited financial coverage by health insurance for medications, tests, and procedures posed considerable challenges for physicians and adversely affected the quality of services provided to patients. Thirdly, resource limitations at the primary level significantly contributed to the continued difficulty in effectively managing COPD patients. These resource constraints were reflective of broader challenges in non-communicable disease prevention at the primary level: healthcare personnel were often deemed inadequate and inconsistent, and the budget allocated for COPD management, primarily funded by the state, failed to meet demands. These constraints became particularly acute during the nationwide COVID-19 outbreak, while barriers resulting from improper resource allocation and shortcomings in health insurance regulations have remained static over the past decades.
There are several limitations to consider in this study. Firstly, most of the variables were retrospectively collected from within 12 months preceding the baseline and follow-up examinations, a timeframe that may be excessively lengthy and prone to recall bias. Secondly, the data did not comprehensively demonstrate the absence of long-acting medications, discrepancies in health insurance regulations, and lack of access of COPD patients to other services in the multi-disciplinary management model, including smoking cessation interventions, flu vaccination, and respiratory function rehabilitation. Additionally, the study design did not incorporate a qualitative component to further elucidate the existence and causes of these barriers. Thirdly, while the study was conducted during the COVID-19 pandemic, no adjustments were made in the design to better clarify the effects of the pandemic on the study outcomes, specifically in exploring the COVID-19 status of COPD patients. Moreover, the impact of the COVID-19 pandemic contributed to a high rate of LTFU (166 out of 518 COPD patients, or 32%), which hindered our ability to assess mortality, a critical outcome in COPD management. Fourthly, although the study observed a decrease in exacerbation and hospitalization rates attributed to CMU-based management, it did not compare data before and after the implementation of CMUs due to the nature of the study design and available data. Such a comparison would have been crucial to determining the true impact of CMU-based management on patient outcomes. Lastly, the exclusion of deceased patients who could not be followed up may have introduced a risk of survival bias to this study.
In conclusion, to our knowledge, this was the first study conducted in Vietnam to evaluate the management of Vietnamese CMU’s. The study provided important data on changes in exacerbation rates and other clinical outcomes and identified challenges in managing COPD patients at these facilities, thereby laying the groundwork for future interventions and policy changes.

Notes

Conflicts of Interest

The authors declare no competing interests in preparing this article.

Acknowledgments

Professor Chau Quy Ngo was nominated as guarantor for this study.

Funding

No funding to declare.

Supplementary Material

Supplementary material can be found in the journal homepage (http://www.e-trd.org).
Supplementary Table S1.
Annual exacerbations and duration of admission over the 2-year study period.
trd-2024-0140-Supplementary-Table-S1.pdf
Supplementary Table S2.
Univariable analysis of factors associated with the annual exacerbation rate among study participants (n=352).
trd-2024-0140-Supplementary-Table-S2.pdf

Fig. 1.
Study flow chart.
trd-2024-0140f1.jpg
Table 1.
Baseline characteristics (n=518)
Characteristic Overall (n=518) LTFU
p-value
Yes (n=166) No (n=352)
Age, yr 66.01±8.28 66.17±8.49 65.94±8.19 0.770
Male sex 446 (86.1) 137 (82.5) 309 (87.8) 0.134
BMI 0.218
 Underweight 124 (23.9) 40 (24.1) 84 (23.9)
 Normal 346 (66.8) 116 (69.9) 230 (65.3)
 Overweight 48 (9.3) 10 (6.0) 38 (10.8)
Insurance coverage ≥80% 352 (68.0) 106 (63.9) 246 (69.9) 0.190
Distance to CMUs, km 12.86±9.98 12.82±9.16 12.88±10.37 0.951
Comorbidities
 Hypertension 149 (28.8) 43 (25.9) 106 (30.1) 0.350
 GERD 65 (12.5) 38 (10.8) 27 (16.3) 0.089
 CVD 46 (8.9) 17 (10.2) 29 (8.2) 0.478
 Diabetes 33 (6.4) 16 (9.6) 17 (4.8) 0.052
 Others 13 (2.5) 5 (3.0) 8 (2.3) 0.556
Smoking status 0.418
 Non-smokers 90 (17.4) 34 (20.5) 56 (15.9)
 Former smokers 320 (61.8) 100 (60.2) 220 (62.5)
 Smokers 108 (20.8) 32 (19.3) 76 (21.6)
mMRC ≥2 297 (57.3) 91 (54.8) 206 (58.5) 0.447
CAT ≥10 483 (93.2) 153 (92.2) 330 (93.8) 0.574
Treatment adherence 0.017
 Good 389 (75.1) 120 (72.3) 269 (76.4)
 Moderate 82 (15.8) 36 (21.7) 46 (13.1)
 Poor 47 (9.1) 10 (6.0) 37 (10.5)
Airflow obstruction degree 0.604
 Mild 103 (19.9) 37 (22.3) 66 (18.8)
 Moderate 224 (43.2) 67 (40.4) 157 (44.6)
 Severe 144 (27.8) 49 (29.5) 95 (27.0)
 Very severe 47 (9.1) 13 (7.8) 34 (9.7)
Patients with exacerbations 267 (51.5) 92 (55.4) 175 (49.7) 0.258
Patients with hospitalized exacerbations 222 (42.9) 73 (44.0) 149 (42.3) 0.775
Patients with ICU/ED admission 28 (5.4) 8 (4.8) 20 (5.7) 0.836

Values are presented as mean±standard deviation or number (%).

LTFU: loss to follow-up; BMI: body mass index; CMU: chronic obstructive pulmonary disease (COPD) management units; GERD: gastroesophageal reflux disease; CVD: cardiovascular disease; mMRC, modified Medical Research Council; CAT: COPD assessment test; ICU: intensive care unit; ED: emergency department.

Table 2.
Changes in exacerbation rates and other clinical outcomes between baseline and follow-up assessments (n=352)
Characteristic Valid cases Baseline Follow-up p-value
Clinical characteristics
 Smokers 352 76 (21.6) 90 (25.6) 0.087
 mMRC ≥2 352 204 (58.5) 166 (47.6) 0.002
 CAT ≥10 352 327 (93.7) 333 (95.4) 0.362
Tests characteristics
 Tests conducted 352
  Chest X-ray 112 (31.8) 234 (66.5) <0.001
  CBC 70 (19.9) 185 (52.6) <0.001
  Spirometry without bronchodilator test 352 (100) 309 (87.8) 0.005
  Spirometry with bronchodilator test 344 (97.7) 225 (72.8) 0.023
 Pre-bronchodilator spirometry results 309
  FEV1, L 1.30±0.49 1.30±0.51 0.972
  %FEV1, % 55.15±21.36 58.32±22.34 <0.001
  FVC, L 2.64±0.69 2.59±0.70 0.051
  %FVC, % 85.57±22.10 89.01±22.57 0.001
  FEV1/FVC, L 0.50±0.18 0.50±0.17 0.674
 Post-bronchodilator spirometry results 225
  FEV1, L 1.36±0.52 1.35±0.55 0.786
  %FEV1, % 55.46±22.14 59.47±22.99 <0.001
  FVC, L 2.71±0.70 2.72±0.73 0.677
  %FVC, % 85.41±22.37 92.08±22.59 <0.001
  FEV1/FVC, L 0.50±0.12 0.49±0.12 0.589
 Airflow obstruction degree 309
  Mild 58 (18.8) 79 (25.5) 0.001
  Moderate 137 (44.3) 125 (40.5)
  Severe 84 (27.2) 87 (28.2)
  Very severe 30 (9.7) 18 (5.8)
Treatment and management characteristics
 Medications 352
  SABA 310 (88.1) 312 (88.6) 0.871
  SABA abuse 116 (33.0) 67 (19.0) <0.001
  SABA/SAMA 39 (11.0) 3 (0.9) <0.001
  LABA/LAMA 2 (0.6) 3 (0.9) >0.900
  ICS/LABA 310 (88.1) 348 (98.9)
  Oral corticosteroids 11 (3.1) 8 (2.3) 0.581
 Treatment adherence 352
  Good 269 (76.4) 215 (61.1) <0.001
  Moderate 46 (13.1) 114 (32.4)
  Poor 37 (10.5) 23 (6.5)
 Number of follow-up visits 352 11.75±2.14 7.12±2.30 <0.001
Exacerbation characteristics
 Patients with exacerbations 352 175 (49.7) 151 (42.9) 0.071
 Patients with non-hospitalized exacerbations 352 43 (12.2) 41 (11.6) 0.902
 Patients with hospitalized exacerbations 352 149 (42.3) 121 (34.4) 0.030
 Patients with ICU/ED admission 352 20 (5.7) 2 (0.6) <0.001
 Number of exacerbations 352 0.84±1.24 0.68±0.98 0.107
 Number of non-hospitalized exacerbations 352 0.20±0.65 0.16±0.51 0.530
 Number of hospitalized exacerbations 352 0.61±0.89 0.52±0.86 0.111
 Duration of admission, day 143* 18±13 9±13 <0.001
 Duration in ICU, day 20 10±10 9±6 0.646

Values are presented as number (%) or mean±standard deviation.

* Statistic was conducted on patients with hospitalized exacerbations (six patients with missing data).

Statistic was conducted on patients with exacerbations requiring ICU admission.

mMRC: Modified Medical Research Council; CAT: chronic obstructive pulmonary disease (COPD) assessment test; CBC: complete blood count; FEV1: forced expiratory volume in 1 second; FVC: forced vital capacity; SABA: short-acting beta agonist; SAMA: shortacting muscarinic antagonists; LABA: long-acting beta agonist; LAMA: long-acting muscarinic antagonist; ICS: inhaled corticosteroid; ICU: intensive care unit; ED: emergency department.

Table 3.
Multivariable analysis of factors associated with the annual exacerbation rate among study participants (n=352)
Factors* Annual exacerbation
Annual hospitalization
MR p-value 95% CI MR p-value 95% CI
Age (≥65 yr vs. <65 yr) 0.958 0.819 0.667-1.378 1.140 0.568 0.727-1.789
Sex (male vs. female) 0.891 0.752 0.436-1.820 1.702 0.313 0.606-4.777
BMI (reference group: normal)
 Underweight 1.536 0.034 1.032-2.285 1.504 0.080 0.952-2.375
 Overweight 1.837 0.023 1.085-3.108 1.534 0.275 0.711-3.309
Smoking status (reference group: non-smokers)
 Former smokers 1.522 0.215 0.784-2.956 1.280 0.558 0.560-2.929
 Smokers 1.035 0.926 0.498-2.152 1.094 0.842 0.450-2.665
Comorbidities (≥2 vs. < 2) 0.817 0.466 0.474-1.407 0.826 0.593 0.410-1.665
mMRC (≥2 vs. <2) 1.986 0.001 1.338-2.948 2.181 0.002 1.329-3.578
Airflow obstruction degree (reference group: mild)
 Moderate 0.789 0.340 0.485-1.284 1.122 0.734 0.579-2.172
 Severe 1.251 0.373 0.765-2.046 1.677 0.139 0.845-3.329
 Very severe 1.441 0.232 0.792-2.620 2.311 0.039 1.044-5.115

* Factors included in the multivariable analysis were the baseline characteristics of the participants.

Statistically significant.

MR: mean ratio; CI: confidence interval; BMI: body mass index; mMRC: modified Medical Research Council.

REFERENCES

1. Agarwal AK, Raja A, Brown BD. Chronic obstructive pulmonary disease. In: StatPearls. Treasure Island: Stat- Pearls Publishing; 2023 [cited 2025 Feb 24]. Available from: https://www.ncbi.nlm.nih.gov/books/NBK559281.

2. Halpin DM, Criner GJ, Papi A, Singh D, Anzueto A, Martinez FJ, et al. Global initiative for the diagnosis, management, and prevention of chronic obstructive lung disease: the 2020 GOLD science committee report on COVID-19 and chronic obstructive pulmonary disease. Am J Respir Crit Care Med 2021;203:24-36.
crossref pmid pmc
3. Adeloye D, Song P, Zhu Y, Campbell H, Sheikh A, Rudan I, et al. Global, regional, and national prevalence of, and risk factors for, chronic obstructive pulmonary disease (COPD) in 2019: a systematic review and modelling analysis. Lancet Respir Med 2022;10:447-58.
crossref pmid pmc
4. Nguyen Viet N, Yunus F, Nguyen Thi Phuong A, Dao Bich V, Damayanti T, Wiyono WH, et al. The prevalence and patient characteristics of chronic obstructive pulmonary disease in non-smokers in Vietnam and Indonesia: an observational survey. Respirology 2015;20:602-11.
crossref pmid
5. Lam HT, Ekerljung L, Tuong NV, Ronmark E, Larsson K, Lundback B. Prevalence of COPD by disease severity in men and women in northern Vietnam. COPD 2014;11:575-81.
crossref pmid
6. Lim S, Lam DC, Muttalif AR, Yunus F, Wongtim S, Lan le TT, et al. Impact of chronic obstructive pulmonary disease (COPD) in the Asia-Pacific region: the EPIC Asia population-based survey. Asia Pac Fam Med 2015;14:4.
crossref pmid pmc pdf
7. Agusti A, Bel E, Thomas M, Vogelmeier C, Brusselle G, Holgate S, et al. Treatable traits: toward precision medicine of chronic airway diseases. Eur Respir J 2016;47:410-9.
crossref pmid
8. McDonald VM, Fingleton J, Agusti A, Hiles SA, Clark VL, Holland AE, et al. Treatable traits: a new paradigm for 21st century management of chronic airway diseases: treatable traits down under international workshop report. Eur Respir J 2019;53:1802058.
crossref pmid
9. McDonald VM, Clark VL, Cordova-Rivera L, Wark PA, Baines KJ, Gibson PG. Targeting treatable traits in severe asthma: a randomised controlled trial. Eur Respir J 2020;55:1901509.
crossref pmid
10. Seymour JM, Moore L, Jolley CJ, Ward K, Creasey J, Steier JS, et al. Outpatient pulmonary rehabilitation following acute exacerbations of COPD. Thorax 2010;65:423-8.
crossref pmid
11. Mansoor S, Obaida Z, Ballowe L, Campbell AR, Patrie JT, Byrum TD, et al. Clinical impact of multidisciplinary outpatient care on outcomes of patients with COPD. Int J Chron Obstruct Pulmon Dis 2020;15:33-42.
pmid pmc
12. Ferrone M, Masciantonio MG, Malus N, Stitt L, O’Callahan T, Roberts Z, et al. The impact of integrated disease management in high-risk COPD patients in primary care. NPJ Prim Care Respir Med 2019;29:8.
crossref pmid pmc pdf
13. Liang J, Abramson MJ, Russell G, Holland AE, Zwar NA, Bonevski B, et al. Interdisciplinary COPD intervention in primary care: a cluster randomised controlled trial. Eur Respir J 2019;53:1801530.
crossref pmid
14. Duszyk K, McLoughlin RF, Gibson PG, McDonald VM. The use of treatable traits to address COPD complexity and heterogeneity and to inform the care. Breathe (Sheff) 2021;17:210118.
crossref pmid pmc
15. Vietnam Medical Association. Guidelines for the management and treatment of COPD in Vietnam 2021: management and treatment based on the current tiered healthcare system. Hanoi: VMA; 2021.

16. Bach Mai Hospital. Chronic obstructive pulmonary disease (COPD) and asthma prevention project: report for the period 2016-2020. Hanoi: Bach Mai Hospital; 2020.

17. Nguyen TA, Pham YN, Doan NP, Nguyen TH, Do TT, Van Vu G, et al. Factors affecting healthcare pathways for chronic lung disease management in Vietnam: a qualitative study on patients’ perspectives. BMC Public Health 2021;21:1145.
crossref pmid pmc pdf
18. Phan TT, Vu VG, Tuyet-Lan LT, Nguyen VN, Ngo QC. Medication adherence assessment and cost analysis of COPD treatment under out-patient clinic in Vietnam. Health Serv Insights 2023;16:11786329231177545.
crossref pmid pmc pdf
19. Mirza S, Clay RD, Koslow MA, Scanlon PD. COPD guidelines: a review of the 2018 GOLD report. Mayo Clin Proc 2018;93:1488-502.
crossref pmid
20. Park HJ, Byun MK, Kim T, Rhee CK, Kim K, Kim BY, et al. Frequent outpatient visits prevent exacerbation of chronic obstructive pulmonary disease. Sci Rep 2020;10:6049.
crossref pmid pmc pdf
21. Lee CH, Kim MS, Yeo SH, Rhee CK, Park HW, Yang BR, et al. Treatment patterns and cost of exacerbations in patients with chronic obstructive pulmonary disease using multiple inhaler triple therapy in South Korea. Respir Res 2022;23:231.
crossref pmid pmc pdf
22. Tse HN, Wong KY, Yee KS, Wai KY. The impact of “specialized COPD outpatient clinic” in patient outcomes: a prospective cohort study in a Hong Kong government hospital. Eur Respir J 2011;38(Suppl 55):p696.

23. Calle Rubio M, Soler-Cataluna JJ, Lopez-Campos JL, Alcazar Navarrete B, Rodriguez Gonzalez-Moro JM, Soriano JB, et al. Assessing the clinical practice in specialized outpatient clinics for chronic obstructive pulmonary disease: analysis of the EPOCONSUL clinical audit. PLoS One 2019;14:e0211732.
crossref pmid pmc
24. Lee HW, Lee JK, Hwang YI, Seo H, Ahn JH, Kim SR, et al. Spirometric interpretation and clinical relevance according to different reference equations. J Korean Med Sci 2024;39:e20.
crossref pmid pdf
25. Chalmers JD, Laska IF, Franssen FM, Janssens W, Pavord I, Rigau D, et al. Withdrawal of inhaled corticosteroids in COPD: a European Respiratory Society guideline. Eur Respir J 2020;55:2000351.
crossref pmid
26. Kanner RE, Connett JE, Williams DE, Buist AS. Effects of randomized assignment to a smoking cessation intervention and changes in smoking habits on respiratory symptoms in smokers with early chronic obstructive pulmonary disease: the Lung Health Study. Am J Med 1999;106:410-6.
crossref pmid
27. Au DH, Bryson CL, Chien JW, Sun H, Udris EM, Evans LE, et al. The effects of smoking cessation on the risk of chronic obstructive pulmonary disease exacerbations. J Gen Intern Med 2009;24:457-63.
crossref pmid pmc pdf
28. Bolliger CT, Zellweger JP, Danielsson T, van Biljon X, Robidou A, Westin A, et al. Influence of long-term smoking reduction on health risk markers and quality of life. Nicotine Tob Res 2002;4:433-9.
crossref pmid
29. Anthonisen NR, Skeans MA, Wise RA, Manfreda J, Kanner RE, Connett JE, et al. The effects of a smoking cessation intervention on 14.5-year mortality: a randomized clinical trial. Ann Intern Med 2005;142:233-9.
crossref pmid pdf
30. Tsevat J. Impact and cost-effectiveness of smoking interventions. Am J Med 1992;93:43S-7S.
crossref pmid
31. Hoogendoorn M, Welsing P, Rutten-van Molken MP. Cost-effectiveness of varenicline compared with bupropion, NRT, and nortriptyline for smoking cessation in the Netherlands. Curr Med Res Opin 2008;24:51-61.
crossref pmid
32. Ministry of Health of Vietnam. Guidelines for the diagnosis and treatment of chronic obstructive pulmonary disease. Hanoi: Ministry of Health of Vietnam; 2018.

33. Venkatesan P. GOLD report: 2022 update. Lancet Respir Med 2022;10:e20.
crossref pmid
34. Lam TH, Jiang C, Chan YF, Chan SS. Smoking cessation intervention practices in Chinese physicians: do gender and smoking status matter? Health Soc Care Community 2011;19:126-37.
crossref pmid
35. Ng N, Prabandari YS, Padmawati RS, Okah F, Haddock CK, Nichter M, et al. Physician assessment of patient smoking in Indonesia: a public health priority. Tob Control 2007;16:190-6.
crossref pmid pmc
36. Cukic V, Lovre V, Ustamujic A. The changes of pulmonary function in COPD during four-year period. Mater Sociomed 2013;25:88-92.
crossref pmid pmc
37. Kanner RE, Renzetti AD, Klauber MR, Smith CB, Golden CA. Variables associated with changes in spirometry in patients with obstructive lung diseases. Am J Med 1979;67:44-50.
crossref pmid
38. Anthonisen NR, Wright EC, Hodgkin JE. Prognosis in chronic obstructive pulmonary disease. Am Rev Respir Dis 1986;133:14-20.
crossref pmid
39. Almagro P, Boixeda R, Diez-Manglano J, Gomez-Antunez M, Lopez-Garcia F, Recio J. Insights into chronic obstructive pulmonary disease as critical risk factor for cardiovascular disease. Int J Chron Obstruct Pulmon Dis 2020;15:755-64.
pmid pmc
40. Hurst JR, Han MK, Singh B, Sharma S, Kaur G, de Nigris E, et al. Prognostic risk factors for moderate-to-severe exacerbations in patients with chronic obstructive pulmonary disease: a systematic literature review. Respir Res 2022;23:213.
crossref pmid pmc pdf
41. Washko GR. Diagnostic imaging in COPD. Semin Respir Crit Care Med 2010;31:276-85.
crossref pmid pmc
42. Wallace GM, Winter JH, Winter JE, Taylor A, Taylor TW, Cameron RC. Chest X-rays in COPD screening: are they worthwhile? Respir Med 2009;103:1862-5.
crossref pmid
43. Kibirige D, Sanya RE, Nantanda R, Worodria W, Kirenga B. Availability and affordability of medicines and diagnostic tests recommended for management of asthma and chronic obstructive pulmonary disease in sub-Saharan Africa: a systematic review. Allergy Asthma Clin Immunol 2019;15:14.
crossref pmid pmc pdf
44. Casas A, Montes de Oca M, Menezes AM, Wehrmeister FC, Lopez Varela MV, Mendoza L, et al. Respiratory medication used in COPD patients from seven Latin American countries: the LASSYC study. Int J Chron Obstruct Pulmon Dis 2018;13:1545-56.
pmid pmc


ABOUT
ARTICLE & TOPICS
Article category

Browse all articles >

Topics

Browse all articles >

BROWSE ARTICLES
FOR CONTRIBUTORS
Editorial Office
101-605, 58, Banpo-daero, Seocho-gu (Seocho-dong, Seocho Art-Xi), Seoul 06652, Korea
Tel: +82-2-575-3825, +82-2-576-5347    Fax: +82-2-572-6683    E-mail: katrdsubmit@lungkorea.org                

Copyright © 2025 by The Korean Academy of Tuberculosis and Respiratory Diseases. All rights reserved.

Developed in M2PI

Close layer
prev next