| Literature DB >> 35052170 |
Yu Nishida1, Shuhei Hosomi1, Yumie Kobayashi1, Rieko Nakata1, Masaki Ominami1, Yuji Nadatani1, Shusei Fukunaga1, Koji Otani1, Fumio Tanaka1, Yasuaki Nagami1, Koichi Taira1, Noriko Kamata1, Yasuhiro Fujiwara1.
Abstract
Coronavirus disease 2019 (COVID-19) vaccination is recommended for patients with inflammatory bowel disease (IBD). However, the acceptance of COVID-19 vaccines has not been sufficiently evaluated in patients with IBD. We aimed to assess the acceptance and hesitancy of COVID-19 vaccination and related factors among these patients. A retrospective cohort study using a self-reported questionnaire was performed among patients with IBD between 22 June 2021 and 30 August 2021. Of the 187 participants, 10.2% (n = 19) were hesitant to be vaccinated. Patients in the vaccine-hesitant group were younger (p = 0.009) and had a shorter disease duration (p = 0.020). Vedolizumab was prescribed more frequently (p = 0.024) and immunomodulators were less frequently used (p = 0.027) in this group. Multivariable logistic regression analysis identified age (odds ratio [OR]: 0.96, 95% confidence interval [CI]: 0.92-1.00, p = 0.042) and the use of immunomodulators (OR: 0.08, 95% CI: 0.01-0.66, p = 0.019) as independent significant factors for vaccine hesitancy. The COVID-19 vaccine hesitancy rate in patients with IBD in Japan was 10% in this study. The Japanese COVID-19 vaccination campaign appears to be successful. The risk of COVID-19 among patients with IBD requires adequate measures to ensure that vaccines are accepted by vaccine-hesitant patients. These findings may be helpful in achieving adequate vaccination rates.Entities:
Keywords: AZD1222; BNT162b2; mRNA-1273; severe acute respiratory syndrome coronavirus 2; surveys and questionnaires
Year: 2021 PMID: 35052170 PMCID: PMC8774988 DOI: 10.3390/healthcare10010006
Source DB: PubMed Journal: Healthcare (Basel) ISSN: 2227-9032
Sociodemographic characteristics of the study participants by COVID-19 vaccination intention.
| All Patients | Willing to Be Vaccinated | Hesitant to Be Vaccinated | ||
|---|---|---|---|---|
| Demographics | ||||
| Number of patients | 187 | 168 | 19 | |
| Disease type | 0.221 | |||
| Ulcerative colitis | 107 (57.2%) | 99 (58.9%) | 8 (42.1%) | |
| Crohn’s disease | 80 (42.8%) | 69 (41.1%) | 11 (57.9%) | |
| Sex | 0.454 | |||
| Male | 120 (64.2%) | 106 (63.1%) | 14 (73.7%) | |
| Female | 67 (35.8%) | 62 (36.9%) | 5 (26.3%) | |
| Age at enrollment (years), median (IQR) | 45.0 (32.5–56.5) | 46.0 (34.8–58.3) | 32.0 (29.5–43.5) | 0.009 |
| Age at diagnosis (years), median (IQR) | 26.0 (20.0–40.0) | 26.0 (20.0–40.0) | 24.0 (19.0–27.5) | 0.185 |
| Disease duration (years), median (IQR) | 13.0 (6.0–22.0) | 13.0 (7.0–23.3) | 6 (5–13.5) | 0.020 |
| Smoking | 0.324 | |||
| Yes | 31 (16.5%) | 26 (15.5%) | 5 (26.3%) | |
| No | 156 (83.4%) | 142 (84.5%) | 14 (73.7%) | |
| Drinking | 0.801 | |||
| Yes | 82 | 73 | 9 | |
| No | 105 | 95 | 10 | |
| Occupation | ||||
| Worker | 97 (51.9%) | 86 (51.2%) | 11 (57.9%) | 0.634 |
| Office worker | 64 (34.2%) | 59 (35.1%) | 5 (26.3%) | 0.611 |
| Health worker | 13 (7.0%) | 10 (6.0%) | 3 (15.8%) | 0.132 |
| Sales assistant | 4 (2.1%) | 4 (2.4%) | 0 (0%) | >0.999 |
| Education | 3 (1.6%) | 3 (1.8%) | 0 (0%) | >0.999 |
| Delivery person | 3 (1.6%) | 3 (1.8%) | 0 (0%) | >0.999 |
| Housemaker | 26 (13.9%) | 24 (14.3%) | 2 (10.5%) | >0.999 |
| Student | 10 (5.3%) | 8 (4.8%) | 2 (10.5%) | 0.269 |
| Cohabitation | ||||
| Living with older individuals | 54 (28.9%) | 52 (31.0%) | 2 (10.5%) | 0.067 |
| Living with children | 58 (31.0%) | 53 31.5(%) | 5 26.3(%) | 0.796 |
| Living with persons with comorbidities | 45 (24.1%) | 42 (25.0%) | 3 (15.8%) | 0.572 |
| Comorbidity | ||||
| Hypertension | 23 (12.3%) | 23 (13.7%) | 0 (0%) | 0.136 |
| Cardiac disorder | 0 (0%) | 0 (0%) | 0 (0%) | ··· |
| Chronic Obstructive Pulmonary Disease | 0 (0%) | 0 (0%) | 0 (0%) | ··· |
| Diabetes mellitus | 4 (2.1%) | 4 (2.4%) | 0 (0%) | >0.999 |
| Bronchial asthma | 2 (1.1%) | 2 (1.2%) | 0 (0%) | >0.999 |
| Hepatic disorder | 5 (2.7%) | 5 (3.0%) | 0 (0%) | >0.999 |
| Renal disorder | 7 (3.7%) | 7 (4.2%) | 0 (0%) | >0.999 |
| Psychiatric disorder | 16 (8.6%) | 15 (8.9%) | 1 (5.3%) | >0.999 |
| Medication | ||||
| Mesalamine | 127 (67.9%) | 113 (67.3%) | 14 (73.7%) | 0.796 |
| Corticosteroids | 18 (9.6%) | 15 (8.9%) | 3 (15.8%) | 0.402 |
| Immunomodulators (azathioprine or 6-mercaptopurine) | 52 (27.8%) | 51 (30.4%) | 1 (5.3%) | 0.027 |
| Anti-TNF | 50 (26.7%) | 44 (26.2%) | 6 (31.6%) | 0.593 |
| Ustekinumab | 23 (12.3%) | 19 (11.3%) | 4 (21.1%) | 0.261 |
| Vedolizumab | 7 (3.7%) | 4 (2.4%) | 3 (15.8%) | 0.024 |
| Tofacitinib | 4 (2.1%) | 4 (2.4%) | 0 (0%) | >0.999 |
| COVID-19 | ||||
| COVID-19 contact | 4 (2.1%) | 4 (2.4%) | 0 (0%) | >0.999 |
| COVID-19 isolation | 4 (2.1%) | 4 (2.4%) | 0 (0%) | >0.999 |
| COVID-19 infection | 2 (1.1%) | 2 (1.2%) | 0 (0%) | >0.999 |
COVID-19, coronavirus disease 2019; IQR, interquartile range; TNF, tumor necrosis factor.
Figure 1Willingness and hesitancy of patients with inflammatory bowel disease to receive a coronavirus disease 2019 vaccine.
Univariate and multivariable logistic regression analysis of hesitancy toward COVID-19 vaccination.
| Unadjusted OR (95% CI) | Adjusted OR (95% CI) | |||
|---|---|---|---|---|
| Demographics | ||||
| Disease type | ||||
| Ulcerative colitis | Ref. | |||
| Crohn’s disease | 1.97 (0.75–5.16) | 0.166 | ||
| Sex | ||||
| Male | Ref. | Ref. | ||
| Female | 0.61 (0.21–1.78) | 0.365 | 0.38 (0.11–1.31) | 0.126 |
| Age at enrollment | 0.96 (0.92–0.99) | 0.011 | 0.96 (0.92–1.00) | 0.042 |
| Age at diagnosis | 0.97 (0.93–1.01) | 0.171 | ||
| Disease duration | 0.95 (0.90–1.00) | 0.056 | 0.98 (0.92–1.05) | 0.477 |
| Smoking | ||||
| No | Ref. | |||
| Yes | 1.95 (0.65–5.88) | 0.235 | ||
| Alcohol consumption | ||||
| Non-drinker | Ref. | |||
| Drinker | 0.71 (0.15–3.25) | 0.655 | ||
| Occupation | ||||
| Worker | ||||
| No | Ref. | |||
| Yes | 1.31 (0.50–3.42) | 0.580 | ||
| Office worker | ||||
| No | Ref. | |||
| Yes | 0.66 (0.23–1.92) | 0.446 | ||
| Health worker | ||||
| No | Ref. | |||
| Yes | 2.96 (0.74–11.90) | 0.125 | ||
| Housemaker | ||||
| No | Ref. | |||
| Yes | 0.71 (0.15–3.25) | 0.655 | ||
| Student | ||||
| No | Ref. | |||
| Yes | 2.35 (0.46–12.0) | 0.303 | ||
| Cohabitation | ||||
| Living with older individuals | ||||
| No | Ref. | Ref. | ||
| Yes | 0.26 (0.06–1.19) | 0.081 | 0.25 (0.05–1.25) | 0.091 |
| Living with children | ||||
| No | Ref. | |||
| Yes | 0.77 (0.27–2.27) | 0.641 | ||
| Living with persons with comorbidities | ||||
| No | Ref. | |||
| Yes | 0.56 (0.16–2.04) | 0.379 | ||
| Medication | ||||
| Mesalamine | ||||
| No | Ref. | |||
| Yes | 1.36 (0.47–3.98) | 0.571 | ||
| Corticosteroids | ||||
| No | Ref. | |||
| Yes | 1.91 (0.50–7.32) | 0.344 | ||
| Immunomodulators (azathioprine or 6-mercaptopurine) | ||||
| No | Ref. | Ref. | ||
| Yes | 0.13 (0.02–0.98) | 0.048 | 0.08 (0.01–0.66) | 0.019 |
| Anti-TNF therapy | ||||
| No | Ref. | |||
| Yes | 1.30 (0.47–3.63) | 0.616 | ||
| Ustekinumab | ||||
| No | Ref. | |||
| 2.09 (0.63–6.96) | 0.229 | |||
| Vedolizumab | ||||
| No | Ref. | Ref. | ||
| Yes | 7.69 (1.58–37.40) | 0.012 | 4.29 (0.67–27.50) | 0.124 |
| Tofacitinib | ||||
| No | Ref. | |||
| Yes | 5.51e-7 (0.00–Inf) | 0.990 |
CI, confidence interval; COVID-19, coronavirus disease 2019; Inf., infinity; IQR, interquartile range; Ref., reference; TNF, tumor necrosis factor.
Reasons for COVID-19 vaccination hesitancy.
| Reasons for Hesitating to Get Vaccinated | |
|---|---|
| Concerned that Long-Term Safety of Vaccines is Unknown | 7 (36.8%) |
| Receiving immunosuppressive therapy | 7 (36.8%) |
| Lack of trust regarding vaccine development or testing process | 3 (15.8%) |
| Concerned about short-term adverse reaction | 2 (10.5%) |
COVID-19, coronavirus disease 2019.
Reasons for the acceptance of COVID-19 vaccination.
| Reasons for Wanting to Be Vaccinated | |
|---|---|
| Acquiring immunity against COVID-19 | 77 (45.8%) |
| Protecting others from COVID-19 | 42 (25.0%) |
| Increased risk of severe COVID-19 due to old age or comorbidities | 21 (12.5%) |
| Receiving immunosuppressive therapy | 13 (7.7%) |
| Desire to return to normal life | 8 (4.8%) |
| Acquiring herd immunity | 4 (2.4%) |
| Recommendation from physician | 2 (1.2%) |
| Low incidence of adverse effects | 1 (0.6%) |
COVID-19, coronavirus disease 2019.