| Literature DB >> 35099852 |
Yan Kiu Li1, Michael Pak Kiu Lui1, Lip Long Yam1, Chi Shing Cheng1, Terence Hon Ting Tsang1, Wing Sum Kwok1, Ho Yin Chung1,2.
Abstract
INTRODUCTION: To investigate the vaccination rate, reported side effects, and patient concerns for COVID-19 vaccination in patients with rheumatic diseases.Entities:
Keywords: COVID-19; immunosuppressants; rheumatic diseases; side effect; vaccination
Mesh:
Substances:
Year: 2022 PMID: 35099852 PMCID: PMC8926511 DOI: 10.1002/iid3.589
Source DB: PubMed Journal: Immun Inflamm Dis ISSN: 2050-4527
Baseline demographic and clinical characteristics of the study population
| Total ( | Vaccinated group ( | Nonvaccinated group ( |
| |
|---|---|---|---|---|
| Age (years) | 53.8 ± 14.9 | 52.9 ± 13.1 | 54.2 ± 15.5 | .053 |
| Male sex ( | 305/1367 (22.3%) | 128/413 (31.0%) | 177/954 (18.6%) | <.001 |
| Smoker ( | 193/1367 (14.1%) | 64/413 (15.5%) | 129/954 (13.5%) | .34 |
| Drinker ( | 116/1367 (8.5%) | 35/413 (8.5%) | 81/954 (8.5%) | .99 |
| Family history of rheumatic diseases | 290/1361 (21.3%) | 88/412 (21.4%) | 202/949 (21.3%) | .98 |
| Higher education level (tertiary education) | 526/1358 (38.7%) | 205/412 (49.8%) | 321/946 (33.9%) | <.001 |
| Healthcare professional ( | 52/1362 (3.8%) | 35/412 (8.5%) | 17/950 (1.8%) | <.001 |
| Student ( | 29/1362 (2.1%) | 8/412 (1.9%) | 21/950 (2.2%) | .75 |
| Retired/unemployed ( | 491/1362 (36.0%) | 117/412 (28.4%) | 374/950 (39.4%) | <.001 |
| Hypertension | 403/1367 (29.5%) | 93/413 (22.5%) | 310/954 (32.5%) | <.001 |
| Diabetes mellitus | 127/1367 (9.3%) | 32/413 (7.7%) | 95/954 (10.0%) | .20 |
| Hyperlipidemia | 335/1367 (24.5%) | 102/413 (24.7%) | 233/954 (24.4%) | .91 |
| Ischemic heart disease | 106/1367 (7.8%) | 24/413 (5.8%) | 85/954 (8.6%) | .08 |
| Stroke | 71/1367 (5.2%) | 6/413 (1.5%) | 65/954 (6.8%) | <.001 |
| History of malignancy | 82/1367 (6.0%) | 21/413 (5.1%) | 61/954 (6.4%) | .35 |
| Type of rheumatic disease | ||||
| SLE | 384/1367 (28.1%) | 70/413 (16.9%) | 314/954 (32.9%) | <.001 |
| RA | 391/1367 (28.6%) | 113/413 (27.4%) | 278/954 (29.1%) | .50 |
| SpA | 267/1367 (19.5%) | 116/413 (28.1%) | 151/954 (15.8%) | <.001 |
| Vasculitis | 45/1367 (3.3%) | 16/413 (3.9%) | 29/954 (3.0%) | .43 |
| Systemic sclerosis | 38/1367 (2.8%) | 10/413 (2.4%) | 28/954 (2.9%) | .60 |
| Myositis | 39/1367 (2.9%) | 12/413 (2.9%) | 27/954 (2.8%) | 0.94 |
| IgG4 disease | 15/1367 (1.1%) | 3/413 (0.7%) | 12/954 (1.2%) | 0.39 |
| Other rheumatic diseases | 251/1367 (18.4%) | 85/413 (20.6%) | 166/954 (17.4%) | 0.16 |
| Previous history of rheumatic disease flare‐up | 807/1365 (59.1%) | 256/412 (62.1%) | 551/953 (57.8%) | .14 |
| Medications ( | ||||
| Steroid | 401/1367 (29.3%) | 76/413 (18.4%) | 325/954 (34.1%) | <.001 |
| MTX | 286/1367 (20.9%) | 93/413 (22.5%) | 193/954 (20.2%) | .34 |
| Sulfasalazine | 141/1367 (10.3%) | 37/413 (9.0%) | 104/954 (10.9%) | .28 |
| Leflunomide | 54/1367 (4.0%) | 10/413 (2.4%) | 44/954 (4.6%) | .06 |
| HCQ | 417/1367 (30.5%) | 109/413 (26.4%) | 308/954 (32.3%) | .03 |
| Anti‐TNF | 59/1367 (4.3%) | 27/413 (6.5%) | 32/954 (3.4%) | .01 |
| Azathioprine | 80/1367 (5.9%) | 22/413 (5.3%) | 58/954 (6.1%) | .59 |
| MMF | 167/1367 (12.4%) | 31/413 (7.5%) | 138/954 (14.5%) | <.001 |
Abbreviations: HCQ, hydroxychloroquine; IgG4, immunoglobulin G4; MMF, mycophenoate mofetil; MTX, methotrexate; N, number; RA, rheumatoid arthritis; SLE, systemic lupus erythematous; SpA, spondyloarthritis; TNF, tumor necrosis factor.
Rheumatic diseases could overlapped.
Reasons for not taking the vaccine
| Total ( | |
|---|---|
| Fear of side effects | 705 (74.0%) |
| Vaccine ineffective | 203 (21.3%) |
| Risk of COVID‐19 is low | 298 (31.2%) |
| Painful injection | 61 (6.4%) |
| Fear of rheumatic disease flare‐up | 611 (64.1%) |
| Decrease vaccine effectiveness due to immunosuppressants | 165 (17.3%) |
| Fear of additional side effects due to rheumatic medications | 274 (28.8%) |
| Increase vaccine risk due to rheumatic diseases | 535 (56.1%) |
| Not enough data on vaccine | 388 (40.7%) |
| Would like to consult a medical professional before vaccine | 78 (8.2%) |
Abbreviation: N, number.
Reasons for taking the vaccine
| Total ( | |
|---|---|
| Protecting themselves from COVID‐19 | 375 (90.8%) |
| Protecting others from COVID‐19 | 356 (86.2%) |
| Helping to end the pandemic | 305 (73.8%) |
| Having faith in the vaccine | 270 (65.4%) |
| Advised by a healthcare professional | 111 (26.9%) |
| Government promotion | 148 (35.8%) |
| Advised by family member or friend | 129 (31.2%) |
| Peer pressure | 31 (7.5%) |
| Requested by company | 42 (3.1%) |
Abbreviation: N, number.
Side effects experienced from COVID‐19 vaccine
| Total ( | |
|---|---|
| Injection site pain/swelling | 274 (66.3%) |
| Fatigue | 236 (57.1%) |
| Headache | 81 (19.6%) |
| Upper respiratory tract symptoms | 13 (3.1%) |
| Fever | 82 (19.9%) |
| Allergic reaction | 5 (1.2%) |
| Chest pain/discomfort | 5 (1.2%) |
| Arthralgia | 29 (7.0%) |
| Lymphadenopathy | 3 (0.7%) |
Abbreviation: N, number.
Multivariate analyses on factors associated with taking the vaccine
| OR (95% CI) |
| OR (95% CI) |
| |
|---|---|---|---|---|
| Age | 0.99 (0.99; 1.00) | .13 | ||
| Male sex | 1.97 (1.51; 2.57) | <.001 | 1.80 (1.31; 2.48) | <.001 |
| Higher education level (tertiary education) | 1.93 (1.52; 2.44) | <.001 | 1.64 (1.26; 2.13) | <.001 |
| Healthcare professional | 5.10 (2.82; 9.21) | <.001 | 4.50 (2.40; 8.45) | <.001 |
| Retired/unemployed | 0.61 (0.48; 0.79) | <.001 | 0.79 (0.59; 1.04) | .09 |
| Hypertension | 0.60 (0.46; 0.79) | <.001 | 0.73 (0.55; 0.99) | .04 |
| Ischemic heart disease | 0.66 (0.41; 1.05) | .08 | 0.86 (0.52; 1.42) | .54 |
| Stroke | 0.20 (0.08; 0.47) | <.001 | 0.29 (0.12; 0.70) | .01 |
| SLE | 0.42 (0.31; 0.56) | <.001 | 0.53 (0.36; 0.77) | <.001 |
| SpA | 2.08 (1.58; 2.74) | <.001 | 1.08 (0.75; 1.54) | .69 |
| On steroid | 0.44 (0.33; 0.58) | <.001 | 0.58 (0.40; 0.85) | .01 |
| On leflunomide | 0.51 (0.26; 1.03) | .06 | 0.49 (0.24; 1.00) | .05 |
| On HCQ | 0.75 (0.58; 0.97) | .03 | 1.17 (0.86; 1.60) | .32 |
| On anti‐TNF | 2.02 (1.19; 3.41) | .01 | 1.01 (0.56; 1.80) | .98 |
| On MMF | 0.48 (0.32; 0.72) | <.001 | 0.93 (0.56; 1.52) | .76 |
Abbreviations: CI, confidence interval; HCQ, hydroxychloroquine; MMF, mycophenoate mofetil; OR, odds ratio; SLE, systemic lupus erythematous; SpA, spondyloarthritis; TNF, tumor necrosis factor.
Multivariate analyses on factors associated with experiencing side effects of the vaccine
| OR (95% CI) |
| OR (95% CI) |
| |
|---|---|---|---|---|
| Age | 0.94 (0.92; 0.96) | <.001 | 0.96 (0.94; 0.99) | .003 |
| Male | 0.47 (0.29; 0.78) | .004 | 0.62 (0.33; 1.17) | .08 |
| Smoker | 0.48 (0.26; 0.88) | .02 | 0.60 (0.28; 1.28) | .19 |
| Drinker | 0.55 (0.25; 1.20) | .13 | ||
| Pfizer‐BioNTech Comirnaty vaccine | 5.99 (3.48; 10.32) | <.001 | 4.79 (2.68; 8.56) | <.001 |
| SLE | 1.99 (0.91; 4.34) | .09 | 1.60 (0.66; 3.89) | .30 |
| RA | 1.11 (0.64; 1.95) | .71 | ||
| SpA | 0.99 (0.57; 1.72) | .98 | ||
| Vasculitis | 0.50 (0.17; 1.47) | .21 | ||
| Systemic sclerosis | 0.93 (0.19; 4.47) | .93 | ||
| Myositis | 0.45 (0.13; 1.54) | .21 | ||
| IgG4 disease | 0.11 (0.01; 1.27) | .08 | 0.15 (0.01; 2.95) | .21 |
| Hypertension | 0.69 (0.39; 1.20) | .18 | ||
| Diabetes mellitus | 1.01 (0.40; 2.54) | .98 | ||
| Hyperlipidaemia | 0.80 (0.46; 1.39) | .43 | ||
| Ischemic heart disease | 0.68 (0.26; 1.78) | .43 | ||
| Stroke | 0.23 (0.45; 1.14) | .07 | 0.34 (0.05; 2.55) | .30 |
| History of malignancy | 0.56 (0.21; 1.50) | .25 | ||
| On steroid | 0.70 (0.38; 1.27) | .24 | ||
| On MTX | 1.41 (0.75; 2.65) | .29 | ||
| On sulfasalazine | 1.00 (0.42; 2.36) | 1.00 | ||
| On leflunomide | 2.13 (0.27; 11.03) | .48 | ||
| On HCQ | 0.97 (0.55; 1.69) | .91 | ||
| On anti‐TNF | 1.36 (0.46; 4.06) | .58 | ||
| On azathioprine | 0.48 (0.19; 1.21) | .12 | ||
| On MMF | 1.23 (0.46; 3.31) | .68 |
Abbreviations: CI, confidence interval; HCQ, hydroxychloroquine; IgG4, immunoglobulin G4; MMF, mycophenoate mofetil; MTX, methotrexate; OR, odds ratio; RA, rheumatoid arthritis; SLE, systemic lupus erythematous; SpA, spondyloarthritis; TNF, tumor necrosis factor.