| Literature DB >> 34686479 |
Xue Li1,2,3, Xinning Tong1, Winnie Wan Yin Yeung1, Peng Kuan2, Samson Hin Hei Yum4, Celine Sze Ling Chui3,5,6, Francisco Tsz Tsun Lai2,3, Eric Yuk Fai Wan2,3,7, Carlos King Ho Wong2,3,7, Esther Wai Yin Chan2,3,8, Chak Sing Lau1, Ian Chi Kei Wong9,3,10,11.
Abstract
OBJECTIVES: To investigate the relationship between COVID-19 full vaccination (two completed doses) and possible arthritis flare.Entities:
Keywords: COVID-19; arthritis; epidemiology; health care; outcome assessment; rheumatoid; vaccination
Mesh:
Substances:
Year: 2021 PMID: 34686479 PMCID: PMC8550868 DOI: 10.1136/annrheumdis-2021-221571
Source DB: PubMed Journal: Ann Rheum Dis ISSN: 0003-4967 Impact factor: 19.103
Baseline characteristics before and after multi-group inverse probability treatment weighting
| Before weighting | After weighting | |||||||
| BNT162b2 | CoronaVac | None | SMD | BNT162b2 | CoronaVac | None | SMD | |
| N | 653 | 671 | 4169 | 3893.56 | 4051.97 | 4169 | ||
| Male (N (%)) | 136 (20.8) | 194 (28.9) | 850 (20.4) | 0.132 | 681.6 (17.5) | 865.8 (21.4) | 850.0 (20.4) | 0.065 |
| Age (mean (SD)) | 55.83 (11.89) | 59.52 (11.04) | 63.97 (14.73) | 0.424 | 61.98 (12.38) | 61.60 (10.85) | 63.97 (14.73) | 0.12 |
| Comorbidities (N (%)) | ||||||||
|
| 9 (1.4) | 9 (1.3) | 72 (1.7) | 0.021 | 53.6 (1.4) | 55.7 (1.4) | 72.0 (1.7) | 0.019 |
|
| 6 (0.9) | 18 (2.7) | 230 (5.5) | 0.18 | 163.9 (4.2) | 166.0 (4.1) | 230.0 (5.5) | 0.044 |
|
| 12 (1.8) | 16 (2.4) | 235 (5.6) | 0.135 | 218.7 (5.6) | 264.4 (6.5) | 235.0 (5.6) | 0.025 |
|
| 1 (0.2) | 2 (0.3) | 118 (2.8) | 0.153 | 120.5 (3.1) | 50.7 (1.3) | 118.0 (2.8) | 0.085 |
|
| 0 (0.0) | 5 (0.7) | 76 (1.8) | 0.137 | 0.0 (0.0) | 72.9 (1.8) | 76.0 (1.8) | 0.129 |
|
| 0 (0.0) | 0 (0.0) | 17 (0.4) | 0.06 | 0.0 (0.0) | 0.0 (0.0) | 17.0 (0.4) | 0.06 |
|
| 29 (4.4) | 45 (6.7) | 488 (11.7) | 0.18 | 503.8 (12.9) | 384.3 (9.5) | 488.0 (11.7) | 0.073 |
|
| 0 (0.0) | 1 (0.1) | 13 (0.3) | 0.056 | 0.0 (0.0) | 3.8 (0.1) | 13.0 (0.3) | 0.057 |
|
| 1 (0.2) | 0 (0.0) | 1 (0.0) | 0.04 | 0.0 (0.0) | 0.0 (0.0) | 1.0 (0.0) | 0.015 |
|
| 4 (0.6) | 1 (0.1) | 48 (1.2) | 0.086 | 25.8 (0.7) | 82.8 (2.0) | 48.0 (1.2) | 0.081 |
|
| 0 (0.0) | 1 (0.1) | 39 (0.9) | 0.1 | 0.0 (0.0) | 27.7 (0.7) | 39.0 (0.9) | 0.094 |
|
| 0 (0.0) | 1 (0.1) | 17 (0.4) | 0.065 | 0.0 (0.0) | 7.6 (0.2) | 17.0 (0.4) | 0.064 |
|
| 20 (3.1) | 23 (3.4) | 390 (9.4) | 0.176 | 278.5 (7.2) | 354.8 (8.8) | 390.0 (9.4) | 0.053 |
|
| 2 (0.3) | 7 (1.0) | 95 (2.3) | 0.121 | 73.5 (1.9) | 56.4 (1.4) | 95.0 (2.3) | 0.044 |
|
| 3 (0.5) | 14 (2.1) | 106 (2.5) | 0.116 | 80.1 (2.1) | 97.7 (2.4) | 106.0 (2.5) | 0.022 |
|
| 0 (0.0) | 2 (0.3) | 43 (1.0) | 0.104 | 0.0 (0.0) | 36.9 (0.9) | 43.0 (1.0) | 0.097 |
| Health service utilisation (N (%)) | ||||||||
|
| 471 (72.1) | 508 (75.7) | 3464 (83.1) | 0.177 | 3185.5 (81.8) | 3327.5 (82.1) | 3464.0 (83.1) | 0.022 |
|
| 641 (98.2) | 665 (99.1) | 4122 (98.9) | 0.054 | 3826.2 (98.3) | 4011.8 (99.0) | 4122.0 (98.9) | 0.043 |
| Medication usage within 90 days (N (%)) | ||||||||
|
| 11 (1.7) | 7 (1.0) | 134 (3.2) | 0.102 | 82.0 (2.1) | 115.4 (2.8) | 134.0 (3.2) | 0.046 |
|
| 284 (43.5) | 295 (44.0) | 1617 (38.8) | 0.07 | 1529.5 (39.3) | 1671.0 (41.2) | 1617.0 (38.8) | 0.033 |
|
| 0 (0.0) | 0 (0.0) | 1 (0.0) | 0.015 | 0.0 (0.0) | 0.0 (0.0) | 1.0 (0.0) | 0.015 |
|
| 191 (29.2) | 187 (27.9) | 1287 (30.9) | 0.044 | 1230.7 (31.6) | 1418.6 (35.0) | 1287.0 (30.9) | 0.059 |
|
| 486 (74.4) | 508 (75.7) | 3041 (72.9) | 0.042 | 2767.6 (71.1) | 2988.2 (73.7) | 3041.0 (72.9) | 0.04 |
|
| 9 (1.4) | 26 (3.9) | 120 (2.9) | 0.105 | 79.7 (2.0) | 93.1 (2.3) | 120.0 (2.9) | 0.036 |
bDMARDs, biological disease-modifying antirheumatic drugs; csDMARDs, conventional synthetic disease-modifying antirheumatic drugs; NSAIDs, Non-steroidal anti-inflammatory drugs; SMD, standardised mean difference; tsDMARDs, target synthetic disease-modifying antirheumatic drugs.
Risk of flare among two-dose vaccine recipients vs unvaccinated individuals, after propensity score weighting
| N | Follow-up time | Crude incidence | Adjusted IRR* | P-value | |
| Primary outcome | |||||
|
| 35 | 78.23 | 0.45 (0.32 to 0.62) | 0.86 (0.73 to 1.01) | 0.0702 |
|
| 41 | 91.02 | 0.45 (0.33 to 0.61) | 0.87 (0.74 to 1.02) | 0.0962 |
|
| 330 | 612.63 | 0.54 (0.48 to 0.60) | Ref | – |
| Secondary outcome | |||||
|
| 33 | 78.65 | 0.42 (0.29 to 0.58) | 0.96 (0.81 to 1.14) | 0.6486 |
|
| 38 | 91.58 | 0.41 (0.30 to 0.56) | 1.03 (0.87 to 1.22) | 0.7373 |
|
| 275 | 620.26 | 0.44 (0.39 to 0.50) | Ref | – |
*Adjusted variables with standard mean difference >0.1; IRR estimated using non-vaccinated group as reference
IRR, incidence rate ratio.
Figure 1Weekly arthritis-related prescriptions among vaccine recipients and non-vaccinated individuals, between 1 February and 31 July 2021. BTDMARDs, biological or target synthetic disease-modifying antirheumatic drugs; CSDMARDs, conventional synthetic disease-modifying antirheumatic drugs; NSAID, non-steroidal anti-inflammatory drug. Kruskal-Wallis test showed all p values >0.1 for each week comparison, indicating the distribution of arthritis-related prescriptions showed no differences among BNT162b2 recipients, CoronaVac recipients and non-vaccinated individuals.