Abstract
Introduction
Coronavirus infection is a particular risk for patients with chronic obstructive pulmonary disease (COPD), because they are much more likely to become severely ill due to oxygen supply problems. Primary prevention, including COVID-19 vaccination is of paramount importance in this disease group. The aim of our study was to assess COVID-19 vaccination coverage in COPD patients during the first vaccination campaign of the COVID-19 pandemic.
Methods
A cross-sectional observational study (CHANCE) has been conducted in COPD patients in the eastern, western and central regions of Hungary from 15th November 2021. The anthropometric, respiratory function test results and vaccination status of 1,511 randomly selected patients were recorded who were aged 35 years and older.
Results
The median age was 67 (61–72) years, for men: 67 (62–73) and for women: 66 (60–72) years, with 47.98 % men and 52.02 % women in our sample. The prevalence of vaccination coverage for the first COVID-19 vaccine dose was 88.62 %, whereas 86.57 % of the patients received the second vaccine dose. When unvaccinated (n = 172) and double vaccinated (n = 1308) patients were compared, the difference was significant both in quality of life (CAT: 17 (12–23) vs 14 (10–19); p < 0.001) and severity of dyspnea (mMRC: 2 (2–2) vs 2 (1–2); p = 0.048). The COVID-19 infection rate between double vaccinated and unvaccinated patients was 1.61 % vs 22.67 %; p < 0.001 six months after vaccination. The difference between unvaccinated and vaccinated patients was significant (8.14 % vs 0.08 %; p < 0.001) among those with acute COVID-19 infection hospitalized. In terms of post-COVID symptoms, single or double vaccinated patients had significantly fewer outpatient hospital admissions than unvaccinated patients (7.56 vs 0 %; p < 0.001).
Conclusion
The COVID-19 vaccination coverage was satisfactory in our sample. The uptake of COVID-19 vaccines by patients with COPD is of utmost importance because they are much more likely to develop severe complications.
Keywords: Chronic obstructive pulmonary disease (COPD), Vaccination, COVID-19, SARS coronavirus, CAT, mMRC
Abbreviations: 6MWD, six-minute walking distance; ACE2, angiotensin-convertase enzyme 2; CAT, COPD Assessment Test; COPD, chronic obstructive pulmonary disease; COVID-19, Coronavirus disease 2019; CRP, C-reactive protein; FEV1, forced expiratory volume in 1 s; FVC, forced vital capacity; GLI, Global Lung Function Initiative; GOLD, Global Initiative for Chronic Obstructive Lung Disease; IFN-y, interferon gamma; IL, interleukin; IRB, Institutional Review Board; MERS, Middle East Respiratory Syndrome; mMRC, modified MRC questionnaire; RSV, Respiratory Syncytial Virus; SARS, Severe acute respiratory syndrome; SARS-CoV-2, Severe Acute Respiratory Syndrome Coronavirus 2; TNF-α, tumor necrosis factor alpha; TUKEB, National Scientific and Ethical Committee
1. Introduction
The Coronavirus disease 2019 (COVID-19) is an acute respiratory viral infection caused by a novel and highly pathogenic human coronavirus namely Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) [1]. In most cases, it causes mild to moderate respiratory symptoms, and those who got infected recover without specific treatment. However, the elderly and people with diseases such as chronic obstructive pulmonary disease (COPD) are at much higher risk of developing serious complications [2]. COPD as an underlying disease, is associated with a reduced respiratory reserve, and therefore a further deterioration in respiratory capacity due to possible pneumonia can be particularly dangerous in this patient group [3]. Corticosteroids taken for the disease may predispose to increased susceptibility to infections, and smoking, the main causative factor, increases the risk of developing complications of coronavirus [1], [2], [3]. On the basis of this, there are several aspects to consider protecting COPD patients against the coronavirus epidemic, but the first and most important is the uptake of COVID-19 vaccine as part of primary prevention.
It is known that the most common comorbidities in people hospitalized are chronic heart, lung and kidney diseases, diabetes, asthma, COPD and dementia [4]. Not only does the vaccine protect against acute infection, but several studies have shown that against SARS-CoV-2 it reduces the chance of developing long-COVID symptoms with just one or two doses of the vaccine, with symptoms including fatigue, headache, weakness, persistent muscle pain, hair loss, dizziness, shortness of breath, loss of smell, lung scarring, and sexual dysfunction [5], [6]. The vaccine also protects against the development of respiratory failure, which can be fatal in COPD [7]. Protection can be achieved by infection or vaccination, mediated and controlled by two main branches of the immune system: humoral immunity mediated by antibodies, and cellular immunity. Antibodies inhibit the development of infection by binding the virus, and in the case of SARS-CoV-2 with severe acute respiratory syndrome, antibodies can prevent the development of infection if present in high enough concentrations in the blood [8].
The frequency of acute COPD exacerbations is associated with disease progression, impaired lung function, and mortality among COPD patients [9]. Exacerbations are mainly caused by viral infections, such as rhinovirus, influenza virus, and RSV (Respiratory Syncytial Virus] [10]. The SARS-CoV-2 virus enters the cell by binding to the angiotensin-convertase enzyme 2 (ACE2) receptor expressed on type II epithelial cells, mainly the air sacs of the lung, which is highly expressed in the lung epithelium of COPD patients [11]. In addition, the COVID-19 coronavirus epidemic poses a greater risk to people with chronic lung disease who have reduced immune defenses due to the disease or immunosuppressive medication they have received [12]. Therefore, the aim of our study was to assess the COVID-19 vaccination coverage among COPD patients during the COVID-19 pandemic in Hungary and to identify patients who received COVID-19 vaccines and to compare the quality of life, respiratory symptoms, number of exacerbations, respiratory function and the presence of post-COVID residual symptoms (post-COVID syndrome) during the six months following vaccination in unvaccinated and vaccinated people.
2. Methods
2.1. Study design and population
A cross-sectional observational study has been conducted in COPD patients in eastern, western and central regions of Hungary from 15th November 2021. Patients are enrolled from outpatients pulmonology clinics, and their data is being collected according to routine clinical practice. The study is conducted in three main stages with the inclusion of approximately 60 study sites in November 2021, and May and November of 2022. An interim analysis was pre-planned after the end of the first stage, the results of which are presented below. Altogether, 1,511 patients were included who received oral and written information about the survey before signing the consent form. The study was approved by the Hungarian National Institute of Pharmacy and Nutrition (docket No: IV/7743–1/2021/EKU) based on the positive assessment by the National Scientific and Research Ethics Committee of Hungary (registration number CHMED_2021/01), and the research complies with the Declaration of Helsinki. Inclusion criteria for the study were age over 35 years, known COPD patient (post-bronchodilator FEV1/FVC < 70 %) [13], diagnosed by a specialist at least one year before enrolment, and receiving inhaled therapy. Exclusion criteria were the following: the patient did not meet any of the expectations listed above, or if the patient was not able to complete the part of the questionnaire(s) that applied to him/her.
2.2. Measurements
Patients attending the clinic were recorded for anthropometric, respiratory function test results and COVID-19 vaccination status, previous history of COVID infection and post-Covid symptoms. Patients were asked whether they had received their first or second dose of COVID-19 vaccine, and they were asked to answer yes or no. They were asked exactly when they received the vaccine(s) if the answer was yes. Gender was bivariate: male or female. Our questionnaire asked about smoking habits: currently a smoker, never smoked, or had quit smoking with response options. We asked about chronic diseases, comorbidities, medications used for COPD, number of severe and moderate exacerbations in the six months following vaccination(s). We also asked about the number of visits to health care facilities during the survey period, i.e. general practitioner, emergency department, pulmonary department and pulmonary outpatient services. We asked if the patient had had a SARS-CoV-2 infection in the six months following vaccination(s) yes/no, if yes, exactly when the infection occurred, and if the patient had required hospitalisation during acute COVID-19 infection the answer choice was yes/no. We asked whether he/she required outpatient pulmonary care for post-COVID symptoms, for which the answer choice was also yes/no.
2.3. Examination of respiratory function
All patients underwent a baseline respiratory function test by automated computerized spirometer to assess respiratory function. Dynamic lung volumes were defined as the amount of air expelled in the first second [(FEV1 (ref%)], vital capacity [(FVC (ref%)], the degree of airway obstruction (FEV1/FVC), inspiratory capacity in liters and percentage [(IVC (L), IVC (ref%)], with GLI-defined (Global Lung Function Initiative) normal spirometry (z-score) [14]. Patients were classified in GOLD A-D stages according to current GOLD guidelines [13]. The symptom severity, measured with COPD Assessment test (CAT) score and number of exacerbations in the past 12 months [13], [15].
2.4. Quality of life examination
The COPD Assessment test was used as a quality-of-life measurement. The patients responded to eight questions, scoring the symptoms from 0 to 5, where 0 indicates healthy condition, and 5 indicates severe symptoms. Cough, the amount of sputum, hyperinflation, exercise capacity when climbing stairs, and the level of energy were evaluated subjectively, as well as whether the patients dared to leave home, or whether their illness affected their sleep [16].
3. Modified MRC dyspnea questionnaire (mMRC - modified medical research 2.1. Council questionnaire)
The mMRC dyspnea scale stratifies the severity of dyspnea and consists of five statements; it almost completely covers the whole spectrum of respiratory distress, from having no problems (grade 0) to completing respiratory failure (grade 5). Patients were scored between 0 and 5 points, all questions were related to everyday activities and were easy to understand for patients. The score could be calculated in a few seconds, with the score being the number that best fitted the patient condition [17].
3.1. Definition of exacerbation
COPD exacerbation was defined in accordance with the current GOLD definition. An acute worsening of respiratory symptoms, requiring change in treatment. In the case of moderate exacerbation, the prescription of an antibiotic or systemic corticosteroid was required, whereas in severe exacerbation the patient had to have required an emergency department visit, or hospitalization [13], [15].
3.2. Definition of COVID-19 infection
Any person who had at least one of the following symptoms during the study period: cough, rise in temperature, fever, dyspnoea, sudden onset of anosmia, ageusia or dysgeusia and SARS-CoV-2 nucleic acid or antigen was detectable in the clinical specimen.
3.3. Body mass index (BMI)
Body mass index (BMI) was calculated by dividing the body weight in kilograms by the square of body height in meters (kg/m2).
3.4. Statistical analysis
All statistical analyses were conducted in SPSS 28.0.0. Since most of the continuous data did not follow the normal distribution (verified by Sapphiro-Wilk test), non-parametric statistical methods were used. Continuous variables were interpreted and represented by medians and interquartile ranges. Categorical data were presented with case numbers and proportions. Mann-Whitney tests were used to detect the differences of continuous variables between the two groups; in case of more than two groups Kruskal-Wallis tests were conducted. Frequency differences of categorical variables were examined by Fisher’s exact test. Cross-tabulation analysis was used to describe the data to explain the association between unvaccinated and double vaccinated patients along different variables. 95 % confidence interval was considered for all statistical tests, and the significance limit used was p < 0.05.
4. Results
In total, the data of 1,511 patients with chronic obstructive pulmonary disease were examined, the sample consisted of 725 male (47.98 %) and 786 (52.02) female patients. The median age of the observed population was 67 years (61–72), 67 (62–73) years for men, 66 (60–72) years for women. Of the patients, 14.69 % (n = 222) were non-smokers. The observed patients had been smoking an average of 17.5 cigarettes a day for 35.43 years. Almost half of the patients (46.46 %) (n = 702) were still active smokers. Of the 1,511 patients, 12.24 % (n = 185) were classified as GOLD A stage, 71.61 % (n = 1082) as GOLD B stage, 0.66 % (n = 10) as GOLD C stage and 15.49 % (n = 234) as GOLD D stage. The prevalence of COVID-19 vaccination coverage with principal clinical and sociodemographic characteristics is presented in Table 1 .
Table 1.
Unvaccinated |
Once vaccinated |
Double vaccinated |
Total |
p-value | |||||
---|---|---|---|---|---|---|---|---|---|
n = 172 | (%) | n = 31 | (%) | n = 1308 | (%) | n = 1511 | (%) | ||
Sex (n, %) | |||||||||
Men | 77 | 44.77 | 14 | 45.16 | 634 | 48.47 | 725 | 47.98 | 0.626 |
Women | 95 | 55.23 | 17 | 54.84 | 674 | 51.53 | 786 | 52.02 | |
Age (years) | |||||||||
Median [IQR] | 61 | [55–68] | 55 | [52–64] | 67 | [62–73] | 67 | [61–72] | <0.001 |
BMI | |||||||||
Median [IQR] | 26.3 | [11,23–29] | 29.0 | [11,24–32] | 27.6 | [11,24–30] | 27.5 | [11,24–30] | 0.052 |
Smoking habit (n,%) | |||||||||
Active | 100 | 58.14 | 18 | 58.06 | 584 | 44.64 | 702 | 46.46 | <0.001 |
Non-smoker | 24 | 13.95 | 4 | 12.90 | 194 | 14.83 | 222 | 14.69 | 0.694 |
Former smoker | 48 | 27.91 | 9 | 29.03 | 530 | 40.52 | 587 | 38.85 | <0.001 |
FEV1ref% | |||||||||
Median [IQR] | 58 | [40–73] | 60 | [49–73] | 60 | [46–74] | 59 | [45–74] | 0.192 |
GOLD stage (n, %) | |||||||||
A | 14 | 8.14 | 3 | 9.68 | 168 | 12.84 | 185 | 12.24 | 0.090 |
B | 121 | 70.35 | 19 | 61.29 | 942 | 72.02 | 1082 | 71.61 | 0.184 |
C | 1 | 0.58 | 0 | 0.00 | 9 | 0.69 | 10 | 0.66 | 0.636 |
D | 36 | 20.93 | 9 | 29.03 | 189 | 14.45 | 234 | 15.49 | 0.004 |
Comorbidity (n, %) | |||||||||
Hypertonia | 107 | 62.21 | 21 | 67.74 | 927 | 70.87 | 1054 | 69.76 | 0.028 |
Diabetes mellitus | 28 | 16.28 | 7 | 22.58 | 235 | 17.97 | 270 | 17.87 | 0.381 |
Heart failure | 19 | 11.05 | 4 | 12.9 | 118 | 9.02 | 141 | 9.33 | 0.302 |
Ischaemic heart disease | 16 | 9.3 | 7 | 22.58 | 303 | 23.17 | 343 | 22.7 | <0.001 |
Allergies | 35 | 20.35 | 3 | 9.68 | 237 | 18.12 | 274 | 18.13 | 0.152 |
Osteoporosis | 25 | 14.53 | 3 | 9.68 | 189 | 14.45 | 216 | 14.29 | 0.455 |
Lung cancer | 4 | 2.33 | 1 | 3.23 | 47 | 3.59 | 52 | 3.44 | 0.420 |
Other cancer | 10 | 5.81 | 2 | 6.45 | 113 | 8.64 | 125 | 8.27 | 0.219 |
Depression | 16 | 9.3 | 4 | 12.9 | 126 | 9.63 | 146 | 9.66 | 0.527 |
Anxiety | 26 | 15.12 | 5 | 16.13 | 183 | 13.99 | 214 | 14.16 | 0.633 |
Sleep disorder | 29 | 16.86 | 6 | 19.35 | 222 | 16.97 | 257 | 17.02 | 0.725 |
Glaucoma | 3 | 1.74 | 0 | 0.00 | 39 | 2.98 | 42 | 2.78 | 0.210 |
CAT Median [IQR] | 17 | [12–23] | 16 | [12–21] | 14 | [10–19] | 15 | [11–20] | <0.001 |
mMRC Median [IQR] | 2 | [2] | 2 | [2] | 2 | [1,2] | 2 | [1,2] | 0.048 |
Covid-19 infection (n, %) |
39 | 22.67 | 5 | 16.13 | 21 | 1.61 | 65 | 4.30 | <0.001 |
Hospital treatment (n, %) | 14 | 8.14 | 1 | 3.23 | 1 | 0.08 | 16 | 1.06 | <0.001 |
Post-Covid hospitalisation (n, %) | 13 | 7.56 | 1 | 3.23 | 0 | 0.00 | 14 | 0.93 | <0.001 |
Data are presented as median (IQR) or as frequency and percentage; GOLD: Global Initiative for Chronic Obstructive Lung Disease; CAT: COPD Assessment Test; mMRC: Modified Medical Research Council Dyspnoea Scale; FEV1: forced expiratory volume in 1 s post-bronchodilator; BMI: body mass index; 6MWD: six-minute walking distance; SD: Standard deviation; p < 0.05 means the two indicators were significantly correlated;
The prevalence of vaccination coverage for the first COVID-19 vaccine dose was 88.27 %, and 86.57 % of patients received the second vaccine dose. More male patients received two vaccine doses against coronavirus than females (87.44 % vs 72.77 %). COVID-19 vaccination coverage was 90.81 % in GOLD A, 87.06 % in GOLD B, 90.0 % in GOLD C and 80.77 % in GOLD D. Patients of older age, patients with more co-morbidities and non-smokers had significantly higher rates of being vaccinated twice (see Table 1).
When unvaccinated (n = 172) and double vaccinated (n = 1,308) patients were compared, the difference was significant both in quality of life (CAT: 17 (12–23) vs 14 (10–19); p < 0.001) and severity of dyspnea (mMRC: 2 (2–2) vs 2 (1–2); p = 0.048). The number of hospital admissions for acute severe and moderate exacerbation of COPD in the six months after vaccination between unvaccinated and two vaccinated patients was significant, see Table 2 . The COVID-19 infection rate of double vaccinated and unvaccinated patients was 1.61 % (n = 21) vs 22.67 % (n = 39) six months after vaccination, respectively. The difference between unvaccinated and vaccinated patients was significant (8.14 % vs 0.08 %; p < 0.001) among those with acute COVID-19 infection hospitalized. In terms of post-COVID symptoms, single or double vaccinated patients had significantly fewer outpatient hospital admissions due to post-COVID syndrome than unvaccinated patients (7.56 % vs 0 %; p < 0.001).
Table 2.
Unvaccinated |
Double vaccinated |
Total |
|||||
---|---|---|---|---|---|---|---|
Severe exacerbation | n | % | n | % | n | % | p-value |
0 | 152 | 88.37 | 1215 | 92.89 | 1367 | 92.36 | 0.035 |
1 | 19 | 11.05 | 89 | 6.80 | 108 | 7.30 | 0.044 |
2 | 1 | 0.58 | 4 | 0.31 | 5 | 0.34 | 0.558 |
Moderate exacerbation | |||||||
0 | 103 | 59.88 | 921 | 70.41 | 1024 | 69.19 | 0.004 |
1 | 65 | 37.79 | 359 | 27.45 | 424 | 28.65 | 0.004 |
2 | 4 | 2.33 | 28 | 2.14 | 32 | 2.16 | 0.875 |
Number of visits to health care facilities | |||||||
Unvaccinated | Double vaccinated | Total | p-value | ||||
GP care | 1 | (1–2) | 1 | (0–2) | 1 | (0–2) | 0.656 |
Emergency care | 1 | (0–1) | 0 | (0–0) | 0 | (0–0) | <0.001 |
Outpatient pulmonary care | 1 | (0–1) | 0 | (0–1) | 0 | (0–1) | 0.012 |
Care in the pulmonary ward | 0 | (0–0) | 0 | (0–0) | 0 | (0–0) | 0.562 |
Data are presented as median (IQR) or as frequency and percentage; COPD: chronic obstructive pulmonary disease; COVID-19: Coronavirus disease 2019; p < 0.05 means the two indicators were significantly correlated;
In the study sample, 31 people received a single vaccine dose, 14 men and 17 women: median age 55 (52–64), median BMI 29 (24–33), median FEV1 (ref%): 60 (49–73). More than half (58 %) of them were current smokers, about one-third (29 %) had quit smoking. After one vaccine dose, five people (16.13 %) became infected with SARS-COVID-19 within six months, of whom one person required hospital care due to the infection and post-COVID care (see Table 1).
The third table shows inhaled medications of COPD patients in the single and the double vaccinated as well as the unvaccinated groups. Patients receiving two vaccines used significantly less short-acting beta agonists (SABAs; p = 0.030) than unvaccinated patients during the six months following vaccination (see Table 3 ).
Table 3.
Unvaccinated |
Once vaccinated |
Double vaccinated |
Total |
||||||
---|---|---|---|---|---|---|---|---|---|
Medication (n, %) | 172 | % | 31 | % | 1308 | % | 1511 | % | p-value |
SABA | 147 | 85.47 | 26 | 83.87 | 1022 | 78.13 | 1173 | 77.63 | 0.030 |
LAMA | 14 | 8.14 | 1 | 3.23 | 146 | 11.16 | 161 | 10.66 | 0.086 |
LABA | 3 | 1.74 | 1 | 3.23 | 56 | 4.28 | 60 | 3.97 | 0.130 |
LABA and LAMA | 46 | 26.74 | 9 | 29.03 | 411 | 31.42 | 466 | 30.84 | 0.236 |
ICS and LABA | 27 | 15.70 | 7 | 22.58 | 131 | 10.02 | 165 | 10.92 | 0.003 |
LABA and LAMA and ICS | 79 | 45.93 | 13 | 41.94 | 525 | 40.14 | 617 | 40.83 | 0.172 |
Rare combination | 3 | 1.74 | 0 | 0.00 | 27 | 2.06 | 30 | 1.99 | 0.409 |
No data available | 0 | 0.00 | 0 | 0.00 | 12 | 0.92 | 12 | 0.79 | 0.202 |
Data are presented as frequency and percentage; SABA: short-acting bronchodilators; LABA: long-acting bronchodilators; LAMA: long-acting muscarinic antagonist; ICS: inhaled corticosteroids; p < 0.05 means the two indicators were significantly correlated;
We calculated the odds ratio (OR) with cross-tabulation analysis (Table 4 ). Patients with older age (≥65 /<65), non-smokers (OR: 1.72; 95 %CI:1.24–2.37; p < 0.001), and lower GOLD stage (A,B) COPD had a significantly higher proportion of two vaccinations. Patients who received two vaccinations also had significantly better quality of life (OR: 2.37; 95 %CI: 1.71–3.27; p < 0.001) and degree of dyspnoea (OR:1.19; 95 %CI: 0.86–1.65; p < 0.001) than unvaccinated patients. Vaccinated patients had a significantly milder course of disease compared to unvaccinated patients, i.e. fewer patients were hospitalized for COVID-19 infection (OR:11.2; 95 %CI: 1.35–92.59; p = 0.012) and had a significantly lower rate of post-COVID hospitalization (OR: 10.0; 95 %CI: 1.20–82.96; p = 0.016) (see Table 4).
Table 4.
Variable | Odds Ratio | 95 % CI | p-value |
---|---|---|---|
Gender | |||
Male vs Female | 0.86 | 0.62–1.18 | 0.180 |
Age (years) | |||
≥65 /<65 | 0.33 | 0.23–0.46 | <0.001 |
Smoking | |||
yes vs no | 1.72 | 1.24–2.37 | <0.001 |
Number of comorbidities | |||
≥2 / <2 | 0.79 | 0.55–1.12 | 0.103 |
Number of severe exacerbation | |||
≥1 / <1 | 1.71 | 1.03–2.87 | 0.019 |
Number of moderate exacerbation | |||
≥1 / <1 | 1.59 | 1.14–2.21 | 0.002 |
GOLD | |||
AB / CD | 0.65 | 0.44–0.96 | 0.016 |
CAT | |||
≥16 /<16 | 2.37 | 1.71–3.27 | <0.001 |
mMRC | |||
≥2 / <2 | 1.19 | 0.86–1.65 | <0.001 |
COVID-19 infection | |||
yes vs no | 17.97 | 10.27–31.45 | <0.001 |
Hospital treatment | |||
yes vs no | 11.2 | 1.35–92.59 | 0.012 |
Post-COVID hospitalisation | |||
yes vs no | 10.0 | 1.20–82.96 | 0.016 |
COPD: Chronic obstructive pulmonary disease; GOLD: Global Initiative for Chronic Obstructive Lung Disease; CAT: COPD Assessment Test; mMRC: Modified Medical Research Council dyspnea Scale; CI: Confidence interval;
5. Discussion
In the present study, an investigation was conducted whether the COVID-19 vaccination rate in Hungarian COPD patients was adequate. Quality of life, respiratory symptoms, number of exacerbations, respiratory function, COVID-19 infection rates and outpatient treatment utilization due to the presence of post-COVID residual symptoms were compared in vaccinated and unvaccinated patients during the six months following vaccination. Our results show that in the first vaccination campaign of the COVID-19 pandemic in Hungary, the vaccination coverage of COPD patients reached the target because 86.57 % of patients had two vaccine doses. There was a significant difference in the number of hospital admissions for acute exacerbations of COPD in vaccinated and unvaccinated patients for both severe and moderate exacerbations six months after vaccination. In addition, there was also a significant difference between their quality of life (COPD Assessment Test), severity of dyspnea (mMRC), COVID-19 infection, and the number of outpatient hospital admissions for post-COVID symptoms.
The importance of vaccination and primary prevention cannot be overemphasized, as in COPD the defense mechanism of the body does not function properly, and the respiratory surface area is reduced, decreasing the respiratory reserve, which can quickly lead to respiratory failure in the event of pneumonia [18]. Some patients already require oxygen therapy on a daily basis and can be at risk particularly from coronavirus infection [19]. The most important means of prevention is vaccination against COVID-19 because it is the only solution to reduce the chances of developing serious complications that often follow the infection. In Hungary people are informed about the benefits of getting vaccinated by doctors, health personnel, professional organizations and the civil society, and there is a strong social action to increase vaccination coverage. Our target is a national coverage of at least 80 %, especially in people over the age of 60, who are overweight, suffer from any chronic illnesses and have high-risk jobs e.g., healthcare workers, and teachers. Government measures are also intended to protect the public, e.g., the mandatory use of facial masks in all enclosed public spaces (shops, offices, and public transport) and in all open spaces where proper distance cannot be maintained. In addition, the official certificate of immunity (valid immunity certificate or recent negative antigen test/PCR result) is required in public enclosed spaces that are very common places to visit daily (e.g., healthcare facilities, restaurants, nightclubs, gyms, etc.) [20]. During the COVID-19 pandemia – especially in the first vaccination campaign - there was a fairly effective official quarantine system in place, with 10 days of isolation for those who got infected as well as for their contacts. The combination of all these measures explains the extremely high vaccination rate in COPD patients (86.57 %), which is much higher than the average Hungarian population (63.50 %) [21]. The distribution of different COVID-19 vaccines in the 60–69 age group in Hungary during the study period was as follows: Pfizer/BioNTech: 40.93 %, Sinopharm: 25.33 %, Sputnik-V: 17.89 %, Oxford/AstraZeneca: 9.98 %, Moderna: 5.87 % [21].
The current COVID-19 coronavirus epidemic is still an ongoing issue, with the majority of infected people experiencing mild or no symptoms at all, but there is still a chance of about 15–20 % to develop a severe or critical condition [22]. It was already clear at the outbreak of the epidemic that the majority of deaths would be due to chronic illnesses, including COPD or cardiovascular disease. Although the specific reasons for this association are not clear yet, but one explanation could be the different levels of angiotensin-converting enzyme-2 (ACE-2) expression in lower airway epithelial cells, as the virus largely uses the ACE-2 receptor to enter the host mucosa and to establish an active infection [23]. This observation may explain why COVID-19 causes more severe diseases in this patient group, but it also highlights the importance of smoking cessation, being the most common cause of COPD [11].
The medical opinion is pretty straightforward: the benefits of vaccination far outweigh the potential risks and side effects of vaccines. All types of vaccines against COVID-19 infection are effective not only against COVID-19 infection but against serious complications such as respiratory failure and/or death in COPD [24]. In addition, all current vaccines elicit the desired immune response in COPD despite the weakness of their humoral and cellular immune response [24], [25]. The mechanism of memory T-cell defence is different from antibody-mediated immunity. T cells cannot prevent infection of host cells, but they respond very rapidly after infection and limit the spread of the virus throughout the body, thus protecting against severe disease in the event of coronavirus infection [8].
According to a study conducted before these vaccines were widely available, patients with COPD who were infected with coronavirus were significantly more likely to die from the infection than the non-patient control population infected with COVID-19 [26]. COPD significantly increases the risk of hospitalization, intensive care unit admission, and death. Those who suffer from COPD, are of older age, have co-morbidities such as cardiovascular disease, high blood pressure and diabetes, or even take oral corticosteroids may be predisposed to increased susceptibility to infections [18]. Smoking alone increases the risk [27] of developing complications caused by the virus, acute respiratory distress syndrome (ARDS) or pulmonary vascular thromboembolic events [28]. In fact, COPD patients are at high risk of death from other respiratory infections too, such as influenza and community-acquired pneumonia [18], [29].
A cross-sectional study in Beijing examined the uptake rate of COVID-19 vaccines in their COPD patients during the first vaccination campaign [30], which turned out to be relatively low (39.0 %), although the research study described that the majority of their patients were willing to accept the COVID-19 vaccine. The main reason for the low COVID-19 vaccination rate was possibly that nearly half of the patients who did not receive the vaccine were not recommended to do so by their doctors [30]. Some previous studies highlighted the important role of advice from medical and health care staff in promoting vaccination and correcting patient misconceptions and improving confidence [31], [32]. Another study described that the uptake of COVID-19 vaccine by patients with tumors was only 17.8 %, and a significant proportion of them believed that the vaccine could have a negative impact on chemotherapy, i.e., that it would set back their recovery [32]. The role of health personnel in promoting any vaccine, including COVID-19, is indisputable [30], [31], [32].
Post-acute COVID-19 disease (“long COVID”) is a multisystemic disease that can sometimes occur after a relatively mild acute phase too. Persistent or progressive respiratory, cardiac and/or neurological symptoms may require specialist involvement. Post-acute COVID-19 disease is defined as having symptoms after three weeks from the onset of the acute COVID infection, and it is called chronic (long] when symptoms still persist after 12 weeks [33]. A US study found that only 65 % of people returned to their previous level of health within 14–21 days of a COVID-positive test [34]. For the time being, we can only speculate about the reasons why this disease sometimes occurs to be delayed, including persistent viraemia due to a deficient antibody response, relapse or reinfection, an inflammatory immune response, and possibly mental factors such as post-traumatic stress. Long-term respiratory, musculoskeletal and neuropsychiatric complications have also been described in connection with other coronaviruses [Severe acute respiratory syndrome (SARS); Middle East respiratory syndrome (MERS)] [35].
Symptoms of post-acute COVID-19 range widely from persistent cough, shortness of breath, chest pain, headache, neurocognitive disturbances, muscle pain and weakness, digestive disturbances, skin rashes, metabolic disturbances (e.g., poor diabetes control), thromboembolic complications, anxiety, to sleep disturbances [36]. There is also a high risk of sarcopenia, malnutrition, depression and delirium in elderly survivors of severe acute COVID-19 disease. A priority for medical staff and doctors is to listen to patients and take their symptoms seriously when they are recovering in an unusual way. The promotion of vaccination is also of particular importance in this regard, as studies have shown that vaccinated individuals have a lower risk of developing post-COVID syndrome even after a single vaccine dose [37], [38]. It has been described that those who received two doses of COVID-19 vaccine were less likely (about 50 %) to develop long COVID symptoms or to experience symptoms for a shorter period of time than those who received only one vaccine dose or were unvaccinated [39]. Our present study supports this, with significantly lower rates of post-COVID symptoms both in the single and double vaccinated. All these studies result in and raise awareness among patients that vaccination not only protects against acute infection but can also help to reduce longer-term complications, especially if the full vaccination series is taken up. Unfortunately, many unknown factors remain regarding the prediction of long COVID, including the efficacy of booster vaccination, and further research is needed on the relationship between the decline in antibody levels over time and symptoms before we can predict the exact impact of vaccination on individuals.
There is evidence that regular physical activity can positively modify and improve many anatomical, physiological metabolic processes, neuroendocrine and psychological functions. Increased fitness levels can thrive the immune system’s efficiency, positively influence both cellular and humoral immune responses, which may impact the severity of infectious disease symptoms [40], [41]. The aging process has a debilitating effect on the functioning of organs and their systems, one of these consequences is a reduction or depletion of immune function (immunosenescence) [42]. This is one of the factors that contribute to a weaker immune response to vaccinations, and to a higher incidence of infections, autoimmune diseases and tumors. Older people may be at particular risk from COVID-19 and its complications, so vaccination is very important for them [43], [44]. Immunosenescence can be delayed by exercise, which was tested by Janet L. and his colleagues. They analysed in total 125 older adults (55–75 years) and their immune profiles who were actively exercising [45]. Their research found out that exercise slows down the shrinking of the thymus. Regular exercise also influences a number of other immune-related parameters, suggesting that frequent exercise has the potential to control the immune response and delay age-induced immune depletion [45]. In addition, it has been shown that in old age it reduces the slight increase in C-reactive protein levels seen in sedentary people. Likewise, lipopolysaccharide-stimulated tumor necrosis factor-alpha (TNF-α), interleukin (IL)-6 and IL-1β production is lower in the elderly who are active than in those who do not exercise regularly [45], [46], [47], [48] (see Table 5 ). Regular physical activity and exercise not only improves lung function, vital capacity and respiratory adaptation, but also reduces the severity of various respiratory diseases, enhances the immune response to vaccination, increases willpower, improves mood and mood, strengthens the immune system and provides a better quality of life [48].
Table 5.
↓ Blood concentration of inflammatory molecules (IL-1β, IL-18, TNF-α, IFN-y, CRP) |
↓ Exhausted T-cell count |
↑ Immune response to vaccination |
↑ Natural killer cell migration and activity |
↑ T-cells' ability to divide |
↑ Naïve T cells |
↑ Phagocytic ability of neutrophil granulocytes |
↑ Microbial killing |
↓Toll-like receptor signaling |
↑CD4/CD8 ratio |
↑Sensitivity of β2-adrenergic receptor |
IL: interleukin; TNF-α: tumor necrosis factor alpha; IFN-y: interferon gamma; CRP: C-reactive protein;
In conclusion, coronavirus vaccines are effective in reducing the risk of developing COVID-19 and also protect against the development of long COVID. The uptake of COVID-19 vaccines in COPD patients is extremely important because they are much more likely to develop serious complications, are more likely to be hospitalized, and have higher mortality rates compared to patients without COPD. In our sample, the vaccination coverage was satisfactory, with significantly better quality of life, fewer exacerbations, and fewer post-COVID residual symptoms detected in double vaccinated patients compared to unvaccinated patients six months after vaccination.
5.1. *Limitations
The disadvantage of our study is that it was not known exactly which COVID vaccine had been administered to the patients. Five types of vaccines were available in Hungary during the first vaccination campaign: Pfizer/BioNTech, Moderna, Oxford/AstraZeneca, Sinopharm, Sputnik V. COPD patients received the same as the general Hungarian population. The first two vaccines were the same type of vaccine and vaccination was not mandatory, only recommended. Another disadvantage is that the exact post-COVID symptoms that the patient consulted a doctor for were not asked about, and the level of antibodies produced by the vaccine was not checked by laboratory tests. Another one of the downsides is that patients were not followed for their third or fourth vaccination, and that our questionnaire did not ask specifically about physical activity levels. Our quality of life questionnaires, the CAT and mMRC, although validated, were also subjective. The numbers of severe and moderate exacerbations were recorded based on patient narratives after vaccination, which were also subjective. Nevertheless, our data are still extremely valuable and unique regarding the COVID-19 vaccination coverage in Hungarian COPD patients, the vaccine efficacy on acute infection, and the presence of post-COVID syndrome.
6. Conclusion
Coronavirus disease (COVID-19) is an infectious disease caused by a new type of coronavirus (SARS-CoV-2). The disease is usually mild in healthy young people, with the highest risk of morbidity and mortality in older people and those with chronic diseases. Vaccine uptake is of paramount importance in controlling the spread of SARS-CoV-2. In chronic diseases, such as COPD, it is also very important for patients to take the COVID-19 vaccine because they are much more likely to develop serious complications. Our sample had a good vaccination rate. Those who got vaccinated had a significantly better quality of life, fewer severe and moderate exacerbations as well as fewer post-COVID residual symptoms (post-COVID syndrome) six months post-vaccination.
CRediT authorship contribution statement
Conceptualization: Alpar Horvath, Balazs Santa, Gabor Tomisa and Janos Tamas Varga Data curation: Gabor Tomisa, Monika Fekete, Balazs Santa, Vince Fazekas-Pongor Formal analysis: Monika Fekete, Gergo Szollosi, Balazs Santa, Vince Fazekas-Pongor, David Major Investigation: Balazs Santa, Alpar Horvath, Gabor Tomisa, Janos Tamas Varga Methodology: Alpar Horvath, Balazs Santa, Gabor Tomisa, Janos Tamas Varga Supervision: Zoltan Ungvari, Stefano Tarantini, Alpar Horvath, Balazs Santa, Gabor Tomisa and Janos Tamas Varga Vizualisation: All authors. Writing - original draft: All authors. Writing - review & editing: All authors. Final approval of manuscript: All authors.
Declaration of Competing Interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Acknowledgments
Acknowledgements
Funding: The research was funded by Chiesi Hungary Ltd.
The authors would like to thank all clinicians partaking in the collection of clinical data:
Alb Krisztina Éva, Alföldi Ibolya, Bánvölgyi Aranka, Bárány Magdolna, Bártfai Zoltán, Bartha Anna, Beke Márta, Bencze Ágota, Bende Zoltán Gyula, Bérdi Eszter, Berzai Eszter Júlia, Bitay Zsuzsanna, Bolya Zsuzsanna, Borota Mirela, Böszörményi Katalin, Breining Ildikó, Búrzuk Valéria, Czompó Márta, Csajbók Valéria, Csicsári Katalin, Csollák Mária, Csontos Éva, Diós Edit, Donka Tünde, Draskóczy Andrea, Ferencz Barbara Aranka, Filkorn Rózsa, Frank Emil, Füleki Margit, Füzesi Edit, Füzesi Katalin, Gönczi Mariann, Hajdu Krisztina, Hangonyi Csilla Mária, Horváth Gabriella, Huszár Hermina Eveline, Igyártó Rozália, Jakab Zoltán, Jancsikin Ljubomir, Juhász Erzsébet, Juhász Tibor, Kalmár Éva, Kaposi Katalin, Kató Ernő, Kecskés Teréz, Kerényi Ildikó Zsuzsanna, Kis Sándor, Kiss Gabriella, Kollár Erzsébet, Kondora Zsanett, Kontz Katalin, Kónya Melinda, Körmendy Szabolcs Dénes, Kuberka Zoltán, Kuczkó Éva Mária, Kukuly Alla, Kukuly Miklós, Kurucz Anikó, Kurucz Edina, Lukács Zsuzsanna Éva, Madai Ildikó Zsuzsanna, Maha Jakoob, Major Katalin, Makk László, Medek Lívia, Mészáros Imre, Mózes Imre István, Nádudvary Ildikó, Nagy Andrea, Nagy Emília, Osvai László, Papp Márta, Pappné Dr. Ferenczy Nóra, Poncsák Mária, Puskás Emese, Radeczky Éva, Radu Simona, Schlezák Judit, Selypes Ágnes Erzsébet, Simorjay Zsuzsanna, Sipos Anikó, Sipos Valéria, Somogyi István, Steierlein Mária, Süveges Tibor, Szabó Csilla, Szabó Éva Teréz, Szabó Gyöngyi, Szabó Marianna, Szabó Márta, Szakács Éva, Száraz Éva, Szarka Ildikó, Szeleczki Róza, Szenes Éva Julianna, Szereday Ildikó, Szigeti Ilona, Szilas Gábor, Szkunzjak Viktória, Szolnoki Erzsébet, Tamás Gabriella, Tankó Magda, Tehenes Sándor, Tóth Sándor, Tóth Tivadar, Tóth Zsuzsanna, Unger Erika, Varga Ágnes, Várnai Beáta, Vecsey Erika, Vidák Zsolt, Vincze Árpád, Vinkler Ilona, Vitus Ernő, Walcz Erzsébet, Zagyva Tamás.
Footnote
Reporting checklist: The authors have completed the STROBE reporting checklist.
Ethical statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. The study protocol was approved by the Hungarian National Institute of Pharmacy and Nutrition (docket No.: IV/7743-1/2021/EKU) based on the positive assessment by the National Scientific and Research Ethics Committee of Hungary (registration number CHMED_2021/01), and it complies with the Helsinki Declaration (as revised in 2013). Patients were given oral and written information prior to the assessment, and then they signed a statement of consent.
Declarations
Consent for publication: Not applicable.
Availability of data and materials: The data that support the findings of this study are available on request from the corresponding author.
Data availability
Data will be made available on request.
References
- 1.Varga J, Madurka I, Boros E, et al: COVID-19 betegek komplex rehabilitációja. Available at: https://tudogyogyasz.hu/Media/Download/29632 [accessed: 07. 26. 2022].
- 2.Fekete M, Szarvas Z, Fazekas-Pongor V, et al. COVID-19 infection in patients with chronic obstructive pulmonary disease: From pathophysiology to therapy. Mini-review [published online ahead of print, 2022 Feb 28]. Physiol Int. 2022;10.1556/2060.2022.00172. 10.1556/2060.2022.00172 [DOI] [PubMed]
- 3.Varga JT. Smoking and pulmonary complications: respiratory prehabilitation. J Thorac Dis. 2019;11(Suppl 5):S639–S644. doi: 10.21037/jtd.2018.12.11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Yin T., Li Y., Ying Y., Luo Z. Prevalence of comorbidity in Chinese patients with COVID-19: systematic review and meta-analysis of risk factors. BMC Infect Dis. 2021;21(1):200. doi: 10.1186/s12879-021-05915-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.U.K. Health Security Agency: The effectiveness of vaccination against long COVID. Available from: https://ukhsa.koha-ptfs.co.uk/cgi-bin/koha/opac-retrieve-file.pl?id=fe4f10cd3cd509fe045ad4f72ae0dfff [accessed: 07. 28. 2022].
- 6.Science Media Centre: Expert reaction to UKHSA rapid evidence review on vaccination and long COVID. Available from: https://www.sciencemediacentre.org/expert-reaction-to-ukhsa-rapid-evidence-review-on-vaccination-and-long-covid/ [accessed: 07. 28. 2022].
- 7.Halpin D.M.G., Criner G.J., Papi A., 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(1):24–36. doi: 10.1164/rccm.202009-3533SO. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Wherry E.J., Barouch D.H. T cell immunity to COVID-19 vaccines. Science. 2022;377(6608):821–822. doi: 10.1126/science.add2897. [DOI] [PubMed] [Google Scholar]
- 9.Halpin D.M., Decramer M., Celli B., et al. Exacerbation frequency and course of COPD. Int J Chron Obstruct Pulmon Dis. 2012;7:653–661. doi: 10.2147/COPD.S34186. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Linden D., Guo-Parke H., Coyle P.V., et al. Respiratory viral infection: a potential “missing link” in the pathogenesis of COPD. Eur Respir Rev. 2019;28(151) doi: 10.1183/16000617.0063-2018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Beyerstedt S, Casaro EB, Rangel ÉB. COVID-19: angiotensin-converting enzyme 2 (ACE2) expression and tissue susceptibility to SARS-CoV-2 infection. Eur J Clin Microbiol Infect Dis. 2021;40(5):905–919. doi: 10.1007/s10096-020-04138-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Lippi G., Henry B.M. Chronic obstructive pulmonary disease is associated with severe coronavirus disease 2019 (COVID-19) Respir Med. 2020;167 doi: 10.1016/j.rmed.2020.105941. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Global Initiative for Chronic Obstructive Lung Disease (GOLD) GOLD 2022 guidelines Available at: https://goldcopd.org/ [accessed: 07. 30. 2022].
- 14.Quanjer P.H., Stanojevic S., Cole T.J., et al. Multi-ethnic reference values for spirometry for the 3–95-yr age range: the global lung function 2012 equations. Eur Respir J. 2012;40(6):1324–1343. doi: 10.1183/09031936.00080312. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Singh D., Agusti A., Anzueto A., et al. Global Strategy for the Diagnosis, Management, and Prevention of Chronic Obstructive Lung Disease: the GOLD science committee report 2019. Eur Respir J. 2019;53(5):1900164. doi: 10.1183/13993003.00164-2019. [DOI] [PubMed] [Google Scholar]
- 16.Jones P.W., Tabberer M., Chen W.H. Creating scenarios of the impact of COPD and their relationship to COPD Assessment Test (CAT™) scores. BMC Pulm Med. 2011;11:42. doi: 10.1186/1471-2466-11-42. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Launois C., Barbe C., Bertin E., et al. The modified Medical Research Council scale for the assessment of dyspnea in daily living in obesity: a pilot study. BMC Pulm Med. 2012;12:61. doi: 10.1186/1471-2466-12-61. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Fekete M., Pako J., Nemeth A.N., et al. Prevalence of influenza and pneumococcal vaccination in chronic obstructive pulmonary disease patients in association with the occurrence of acute exacerbations. J Thorac Dis. 2020;12(8):4233–4242. doi: 10.21037/jtd-20-814. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Singh D., Mathioudakis A.G., Higham A. Chronic obstructive pulmonary disease and COVID-19: interrelationships. Curr Opin Pulm Med. 2022;28:76–83. doi: 10.1097/MCP.0000000000000834. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Fekete M, Kerpel-Fronius A, Temesi G. et al: A SARS-CoV-2 okozta járványra adott legfontosabb kormányzati ajánlások és egészségügyi menedzsment nemzetközi és hazai színtereken. Available at: https://orvositudasbazis.eu/cikkek/a-sars-cov-2-okozta-jarvanyra-adott-legfontosabb-kormanyzati-ajanlasok-es-egeszsegugyi-menedzsment-nemzetkozi-es-hazai-szintereken-htsz?t=664dab555ec59b7020d1fa2a955d2c635e5491f6961e401848238c8c7003c986 [accessed: 08. 06. 2022].
- 21.Koronamonitor. Available at: https://atlo.team/koronamonitor/ [accessed: 09. 06. 2022].
- 22.Sanyaolu A., Okorie C., Marinkovic A., et al. Comorbidity and its Impact on Patients with COVID-19. SN Compr Clin Med. 2020;2(8):1069–1076. doi: 10.1007/s42399-020-00363-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Shang J., Ye G., Shi K., et al. Structural basis of receptor recognition by SARS-CoV-2. Nature. 2020;581(7807):221–224. doi: 10.1038/s41586-020-2179-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Southworth T., Jackson N., Singh D. Airway immune responses to COVID-19 vaccination in COPD patients and healthy subjects [published online ahead of print, 2022 Jun 21] Eur Respir J. 2022:2200497. doi: 10.1183/13993003.00497-2022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Bhat T.A., Panzica L., Kalathil S.G., et al. Immune dysfunction in patients with chronic obstructive pulmonary disease. Ann Am Thorac Soc. 2015;12(Suppl 2):S169–S175. doi: 10.1513/AnnalsATS.201503-126AW. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Gerayeli F.V., Milne S., Cheung C., et al. COPD and the risk of poor outcomes in COVID-19: A systematic review and meta-analysis. EClinicalMedicine. 2021;33 doi: 10.1016/j.eclinm.2021.100789. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Sanchez-Ramirez D.C., Mackey D. Underlying respiratory diseases, specifically COPD, and smoking are associated with severe COVID-19 outcomes: A systematic review and meta-analysis. Respir Med. 2020;171 doi: 10.1016/j.rmed.2020.106096. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Ackermann M., Verleden S.E., Kuehnel M., et al. Pulmonary Vascular Endothelialitis, Thrombosis, and Angiogenesis in Covid-19. N Engl J Med. 2020;383(2):120–128. doi: 10.1056/NEJMoa2015432. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Restrepo M.I., Mortensen E.M., Pugh J.A., Anzueto A. COPD is associated with increased mortality in patients with community-acquired pneumonia. Eur Respir J. 2006;28(2):346–351. doi: 10.1183/09031936.06.00131905. [DOI] [PubMed] [Google Scholar]
- 30.Song Z., Liu X., Xiang P., et al. The Current Status of Vaccine Uptake and the Impact of COVID-19 on Intention to Vaccination in Patients with COPD in Beijing. Int J Chron Obstruct Pulmon Dis. 2021;16:3337–3346. doi: 10.2147/COPD.S340730. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Yeung M.P., Lam F.L., Coker R. Factors associated with the uptake of seasonal influenza vaccination in adults: a systematic review. J Public Health (Oxf) 2016;38(4):746–753. doi: 10.1093/pubmed/fdv194. [DOI] [PubMed] [Google Scholar]
- 32.Chan W.L., Ho Y.T., Wong C.K., et al. Acceptance of COVID-19 Vaccination in Cancer Patients in Hong Kong: Approaches to Improve the Vaccination Rate. Vaccines (Basel) 2021;9(7):792. doi: 10.3390/vaccines9070792. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Chippa V, Aleem A, Anjum F. Post-Acute Coronavirus (COVID-19) Syndrome. In: StatPearls. Treasure Island (FL): StatPearls Publishing; June 19, 2022. https://pubmed.ncbi.nlm.nih.gov/34033370/. [PubMed]
- 34.Tenforde M.W., Kim S.S., Lindsell C.J., et al. Symptom Duration and Risk Factors for Delayed Return to Usual Health Among Outpatients with COVID-19 in a Multistate Health Care Systems Network - United States, March-June 2020. MMWR Morb Mortal Wkly Rep. 2020;69(30):993–998. doi: 10.15585/mmwr.mm6930e1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Zhang T, Sun LX, Feng RE. Zhonghua Jie He He Hu Xi Za Zhi. 2020;43(6):496-502. 10.3760/cma.j.cn112147-20200311-00312 [DOI] [PubMed]
- 36.Korompoki E., Gavriatopoulou M., Hicklen R.S., et al. Epidemiology and organ specific sequelae of post-acute COVID19: A narrative review. J Infect. 2021;83(1):1–16. doi: 10.1016/j.jinf.2021.05.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Greenhalgh T., Knight M., A'Court C., et al. Management of post-acute covid-19 in primary care. BMJ. 2020;370 doi: 10.1136/bmj.m3026. [DOI] [PubMed] [Google Scholar]
- 38.Ayoubkhani D., Bermingham C., Pouwels K.B., et al. Trajectory of long covid symptoms after covid-19 vaccination: community based cohort study. BMJ. 2022;377:e069676. doi: 10.1136/bmj-2021-069676. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.UKHSA review shows vaccinated less likely to have long COVID than unvaccinatedwww.gov.uk/government/news/ukhsa-review-shows-vaccinated-less-likely-to-have-long-covid-than-unvaccinated [accessed: 08. 07. 2022].
- 40.Szucs B, Petrekanits M, Varga J. Effectiveness of a 4-week rehabilitation program on endothelial function, blood vessel elasticity in patients with chronic obstructive pulmonary disease. J Thorac Dis. 2018;10(12):6482–6490. doi: 10.21037/jtd.2018.10.104. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Fekete M., Kerti M., Fazekas-Pongor V., et al. Effect of interval training with non-invasive ventilation in severe chronic obstructive pulmonary disease-a prospective cohort study with matched control group. Ann Palliat Med. 2021;10(5):5289–5298. doi: 10.21037/apm-21-378. [DOI] [PubMed] [Google Scholar]
- 42.Witkowski J.M., Fulop T., Bryl E. Immunosenescence and COVID-19. Mech Ageing Dev. 2022;204 doi: 10.1016/j.mad.2022.111672. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Sadarangani M., Abu Raya B., Conway J.M., et al. Importance of COVID-19 vaccine efficacy in older age groups. Vaccine. 2021;39(15):2020–2023. doi: 10.1016/j.vaccine.2021.03.020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Fehér Á., Fekete M., Varga J.T., et al. Az orvostanhallgatók vakcinológiai tájékozottsága [Medical students' knowledge on vaccinology] Orv Hetil. 2019;160(30):1193–1199. doi: 10.1556/650.2019.31426. [DOI] [PubMed] [Google Scholar]
- 45.Duggal N.A., Pollock R.D., Lazarus N.R., et al. Major features of immunesenescence, including reduced thymic output, are ameliorated by high levels of physical activity in adulthood. Aging Cell. 2018;17(2):e12750. doi: 10.1111/acel.12750. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Simpson R.J., Lowder T.W., Spielmann G., et al. Exercise and the aging immune system. Ageing Res Rev. 2012;11(3):404–420. doi: 10.1016/j.arr.2012.03.003. [DOI] [PubMed] [Google Scholar]
- 47.Farkas Á., Szipőcs A., Horváth A., et al. Establishment of relationships between native and inhalation device specific spirometric parameters as a step towards patient tailored inhalation device selection. Respir Med. 2019;154:133–140. doi: 10.1016/j.rmed.2019.06.021. [DOI] [PubMed] [Google Scholar]
- 48.da Silveira M.P., da Silva Fagundes K.K., Bizuti M.R., Starck É., Rossi R.C., de Resende E., et al. Physical exercise as a tool to help the immune system against COVID-19: an integrative review of the current literature. Clin Exp Med. 2021;21(1):15–28. doi: 10.1007/s10238-020-00650-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
Data will be made available on request.