| Literature DB >> 34949917 |
Zhu Song1, Xiaofang Liu2, Pingchao Xiang3, Yingxiang Lin4, Li Dai5, Yanfei Guo6, Jiping Liao7, Yahong Chen1, Ying Liang1, Yongchang Sun1.
Abstract
Background: SARS-CoV-2 tends to cause more severe disease in patients with COPD once they are infected. We aimed to investigate the rates of influenza, pneumococcal and COVID-19 vaccination uptake in patients with COPD and to determine whether the COVID-19 pandemic and widespread vaccination against COVID-19 had any impact on the intention to accept influenza vaccines in these patients.Entities:
Keywords: COVID-19; attitude; chronic obstructive pulmonary disease; knowledge; vaccines
Mesh:
Substances:
Year: 2021 PMID: 34949917 PMCID: PMC8688833 DOI: 10.2147/COPD.S340730
Source DB: PubMed Journal: Int J Chron Obstruct Pulmon Dis ISSN: 1176-9106
Figure 1Vaccination uptake and knowledge of and intention to vaccination in the questionnaire.
Demographic and Clinical Characteristics (n = 264)
| Characteristics | Mean±SD or n (%) |
|---|---|
| Age | 68.4±8.8 |
| Gender | |
| Male | 236 (89.4) |
| Female | 28 (10.6) |
| Residence | |
| Urban | 247 (93.6) |
| Rural area | 17 (6.4) |
| Education | |
| Primary school or lower | 48 (18.2) |
| Middle school | 161 (61.0) |
| College | 18 (6.8) |
| University or higher | 37 (14.0) |
| Employment status | |
| Currently working | 24 (9.1) |
| Retired | 220 (83.3) |
| Other | 20 (7.6) |
| Medical insurance | |
| No insurance | 14 (5.3) |
| Urban Residents Medical Insurance | 196 (74.2) |
| Free Medical Service | 24 (9.1) |
| Medical Insurance outside Beijing | 30 (11.4) |
| Smoking status | |
| Current smokers | 70 (26.5) |
| Former smokers | 160 (60.6) |
| Never smokers | 34 (12.9) |
| Smoking index (pack-year) a | 35.0 ± 21.8 |
| Modified MRC dyspnea scale | |
| 0 | 32 (12.1) |
| 1 | 95 (36.0) |
| 2 | 78 (29.6) |
| 3 | 46 (17.4) |
| 4 | 13 (4.9) |
| Frequency of hospitalization due to COPD exacerbation in 2019 (/year) | 0.27 ± 0.62 |
| Frequency of hospitalization due to COPD exacerbation in 2020 (/year) | 0.17 ± 0.46 |
| Comorbidities | |
| Diabetes mellitus | 40 (15.2) |
| Cardiovascular diseases | 86 (32.6) |
| Tumors | 18 (6.8) |
| Chronic liver or renal diseases | 5 (1.9) |
| Autoimmune diseases | 3 (1.1) |
| None of the above | 139 (52.7) |
| Pharmacological treatment | |
| ICS/LABA | 121 (56.0) |
| LAMA | 105 (48.6) |
| LABA/LAMA | 22 (10.2) |
| LABA/LAMA/ICS (fixed dose triple therapy) | 29 (13.4) |
| SABA or SAMA | 13 (6.9) |
Notes: Data are presented as Mean ± SD or n (%). aSmoking index was calculated in current and former smokers.
Abbreviations: COPD, chronic obstructive pulmonary disease; MRC, Medical Research Council; ICS, inhaled corticosteroid; LABA, long-acting β-agonist; lAMA, long-acting muscarinic antagonist; SABA, short-acting β-agonist; SAMA, short-acting muscarinic antagonist.
The Rate of Influenza, Pneumococcal and COVID-19 Vaccination (n = 264)
| Vaccines | N (%) of Vaccination |
|---|---|
| Influenza vaccine | 60 (22.7) |
| Pneumococcal vaccine | 15 (5.7) |
| COVID-19 vaccine | 103 (39.0%) |
Note: Data are presented as n (%).
Abbreviation: COVID-19, coronavirus disease 2019.
Reasons for the Patients Who Did Not Receive Influenza or Pneumococcal Vaccination
| Not Receiving Influenza Vaccination (n = 204) | Not Receiving Pneumococcal Vaccination (n = 249) | |
|---|---|---|
| Worry about the side effects | 61 (29.9) | 61 (24.5) |
| Do not think it necessary | 54 (26.5) | 60 (24.1) |
| Activity inconvenience | 16 (7.8) | 13 (5.2) |
| Own expense for vaccination | 4 (2.0) | 6 (2.4) |
| Others | 64 (31.4) | 106 (42.6) |
| Having no knowledge of the vaccines | 50 (78.1) | 87 (82.1) |
| Having other severe diseases | 9 (14.1) | 9 (8.5) |
| Allergic constitution | 5 (7.8) | 5 (4.7) |
| Not recommended by the general practitioners | 0 (0.0) | 5 (4.7) |
Note: Data are presented as n (%).
Figure 2Distribution of the reasons why the patients did not intend to get COVID-19 vaccination (n = 110).
Factors Associated with the Change of Intention to Receive Influenza Vaccination After the COVID-19 Epidemic in Beijing (n = 204)a
| Univariate Analysis | Multivariate Analysis | |||||
|---|---|---|---|---|---|---|
| OR | 95% CI | OR | 95% CI | |||
| Age ≥60 years | 0.65 | 0.32–1.34 | 0.241 | |||
| Education level | N/A | N/A | 0.746 | |||
| Current-/Ex-smoker | 0.89 | 0.37–2.16 | 0.797 | |||
| ≥1 comorbidities | 0.79 | 0.46–1.37 | 0.407 | |||
| Maintaining long-term inhaled medications | 1.47 | 0.79–2.75 | 0.220 | |||
| Knowing the benefit of influenza vaccine | 1.53 | 0.86–2.75 | 0.151 | |||
| Knowing the subsidy policy of influenza vaccination in Beijing | 1.78 | 1.03–3.13 | 0.039 | 1.45 | 0.77–2.71 | 0.251 |
| Influenza vaccine recommended by medical staffs | 1.76 | 0.98–3.19 | 0.059 | 1.42 | 0.73–2.77 | 0.299 |
| COVID-19 vaccination | 2.39 | 1.17–3.86 | 0.013 | 1.99 | 1.08–3.65 | 0.027 |
Notes: aData were analyzed in the patients who did not receive influenza vaccination in the past season (2020/2021, n = 204). Univariate analysis was performed by Chi-square test, while multivariate analysis was performed by binary logistic regression model. The change of intention to influenza vaccination in future was converted to a binary variable, which was recorded as “Yes” or “No”. Except education level, the other variables included in the analysis were also converted to binary variables. The variables with P<0.1 in the univariate analysis were included in multivariate analysis.
Abbreviations: COVID-19, coronavirus disease 2019; OR, odds ratio; CI, confidence interval.