| Literature DB >> 34280733 |
Hind B Almufty1, Shinah A Mohammed2, Arshad M Abdullah3, Muayad A Merza4.
Abstract
AIMS: the objectives of this study are to reveal the potential side effects after taking the covid19 vaccines, associated risk factors with severe side effects, and to compare the three COVID-19 vaccines available in Iraq (Sinopharm, AstraZeneca-Oxford and Pfizer- BioNTech).Entities:
Keywords: Adverse effects; AstraZeneca-Oxford; COVID19 vaccine; Pfizer- BioNTech; Sinopharm
Year: 2021 PMID: 34280733 PMCID: PMC8274281 DOI: 10.1016/j.dsx.2021.102207
Source DB: PubMed Journal: Diabetes Metab Syndr ISSN: 1871-4021
Demographic characteristics of study population N = 1012.
| Variables | Frequency | Percentage |
|---|---|---|
| Sex | ||
| | 609 | 60.2 |
| | 403 | 39.8 |
| Age | ||
| | 420 | 41.5 |
| | 424 | 41.9 |
| | 150 | 14.8 |
| | 18 | 1.8 |
| Occupation | ||
| | 422 | 41.7 |
| | 590 | 58.3 |
| Residence | ||
| | 520 | 51.4 |
| | 492 | 48.6 |
| History of infection with covid | ||
| | 370 | 36.6 |
| | 642 | 63.4 |
| Smoker | ||
| | 241 | 23.8 |
| | 771 | 76.2 |
| Vaccine type | ||
| | 608 | 60.1 |
| | 296 | 29.2 |
| | 108 | 10.7 |
| Symptoms after vaccination | ||
| | 850 | 84 |
| | 162 | 16 |
| Severity of symptoms N = 850 | ||
| | 378 | 44.5 |
| | 333 | 39.2 |
| | 139 | 16.4 |
| Duration of symptoms N = 850 | ||
| < | 329 | 38.8 |
| | 463 | 54.6 |
| | 43 | 5.1 |
| > | 13 | 1.5 |
Fig. 1Types of adverse reactions.
Adverse Reactions to Different Vaccines among recipients of different vaccines N = 850.
| Symptoms | AstraZeneca (N = 533) | Pfizer (N = 251) | Sinopharm (N = 66) |
|---|---|---|---|
| Fever N = 492 | 365 | 102 (40.6) | 25 (37.8) |
| Fatigue N = 494 | 346 | 121 (48.2) | 27 (40.9) |
| Headache N = 344 | 256 | 66 (26.2) | 22 (33.3) |
| Chill N = 182 | 149 | 20 (7.9) | 13 (19.6) |
| Myalgia N = 393 | 289 | 80 (31.9) | 24 (36.3) |
| Nausea & vomiting N = 69 | 55 (10.3) | 7 (2.7) | 7 (10.6) |
| Cough N = 39 | 24 (4.5) | 10 (3.9) | 5 (7.5) |
| Shortness of breath N = 30 | 22 (4.1) | 6 (2.3) | 2 (3) |
| Loss of smell and taste sens.N = 15 | 11 (2) | 2 (0.7) | 2 (3) |
| Injection site reaction N = 493 | 289 | 168 | 36 |
| Diarrhea N = 5 | 3 (0.5) | 2 (0.7) | 0 (0) |
| Hypotension N = 1 | 0 (0) | 1 (0.3) | 0 (0) |
| Tachycardia N = 2 | 1 (0.1) | 1 (0.3) | 0 (0) |
| Allergic reaction N = 3 | 1 (0.1) | 2 (0.7) | 0 (0) |
Univariate analysis of associated risk factors with symptoms after covid vaccines.
| Variables | Symptomatic | Asymptomatic | Total | Odd Ratio (95% CI) | |
|---|---|---|---|---|---|
| Sex | |||||
| | 499 (81.9) | 110 (18.1) | 609 (60.2) | 0.672 (0.470–0.960) | |
| | 351 (87.1) | 52 (12.9) | 403 (39.8) | ||
| Age | |||||
| | 722 (85.5) | 122 (14.5) | 844 (83.4) | 1.849 (1.235–2.768) | |
| | 128 (76.2) | 40 (23.8) | 168 (16.6) | ||
| Occupation | |||||
| | 353 (83.6) | 69 (16.4) | 422 (41.7) | 0.957 (0.681–1.345) | 0.801 |
| | 497 (84.2) | 93 (15.8) | 590 (58.3) | ||
| Residence | |||||
| | 435 (83.7) | 85 (16.3) | 520 (51.4) | 0.949 (0.6783–1.329) | 0.763 |
| | 415 (84.3) | 77 (15.7) | 471 (46.5) | ||
| History with covid 19 infection | |||||
| | 326 (88.1) | 44 (11.9) | 370 (36.6) | 1.668 (1.149–2.422) | |
| | 524 (81.6) | 118 (18.4) | 642 (63.4) | ||
| Smoker | |||||
| | 202 (83.8) | 39 (16.2) | 241 (23.8) | 0.983 (0.663–1.456) | 0.932 |
| | 648 (84) | 123 (16) | 771 (76.2) | ||
| Comorbid condition | |||||
| | 733 (85.1) | 128 (14.9) | 861 (85.1) | 0.6 (0.392–0.919) | |
| | 117 (77.4) | 34 (22.6) | 151 (14.9) | ||
| Vaccine type | |||||
| | 533 (87.7) | 75 (12.3) | 608 (60.1) | ||
| | 251 (84.8) | 45 (15.2) | 296 (29.2) | ||
| | 66 (61.1) | 42 (38.9) | 108 (10.7) | ||
Variables correlation with severity of symptoms N = 850.
| Variables | Mild-moderate symptoms N = 177 (%) | Severe symptoms N = 139 (%) | Odd ratio 95% CI | |
|---|---|---|---|---|
| Sex | ||||
| | 422 (84.6) | 77 (15.4) | 1.17 (0.81–1.69) | 0.386 |
| | 289 (82.3) | 62 (17.7) | ||
| Age | ||||
| | 600 (83.1) | 122 (16.9) | 1.32 (0.76–2.29) | 0.308 |
| | 111 (86.7) | 17 (13.3) | ||
| Occupation | ||||
| | 291 (82.4) | 62 (17.6) | 1.16 (0.80–1.67) | 0.421 |
| | 420 (84.5) | 77 (15.5) | ||
| Residence | ||||
| | 333 (76.6) | 102 (23.4) | 3.12 (2.08–4.68) | < |
| | 378 (91.1) | 37 (8.9) | ||
| History of infection with covid 19 | ||||
| | 267 (81.9) | 59 (18.1) | 1.22 (0.84–1.77) | 0.278 |
| | 444 (84.7) | 80 (15.3) | ||
| Smoking | ||||
| | 164 (81.2) | 38 (18.8) | 1.25 (0.83–1.89) | 0.279 |
| | 547 (84.4) | 101 (15.6) | ||
| Comorbid conditions | ||||
| | 99 (84.6) | 18 (15.4) | 0.91 (0.53–1.57) | 0.760 |
| | 612 (83.5) | 121 (16.5) | ||
| Vaccine type | ||||
| | 411 (77.1) | 122 (22.9) | < | |
| | 236 (94) | 15 (6) | ||
| | 64 (97) | 2 (3) | ||
Variables correlation with D-dimer elevations N = 220.
| Variables | D-dimer not elevated (%) | D-dimer elevated (%) | |
|---|---|---|---|
| Gender | |||
| | 83 (100) | 0 (0) | |
| | 131 (95.6) | 6 (4.4) | |
| Age | |||
| | 177 (97.2%) | 5 (2.8%) | 0.6645 |
| ≥ | 37 (97.3%) | 1 (2.7%) | |
| Vaccine type | |||
| | 199 (97%) | 6 (3%) | 0.65 |
| | 15 (100%) | 0 (0%) | |