| Literature DB >> 35222871 |
Pooja Gangwani1, Haley Harris1, Molly Christie1, Kyle Mecca1, Basir Barmak2, Antonia Kolokythas1.
Abstract
OBJECTIVES: The aim of this retrospective comparative study was to evaluate the effects of implemented social and public health measures during the COVID-19 pandemic on the incidence and aetiology of maxillofacial injuries.Entities:
Keywords: COVID-19; epidemiology; maxillofacial injuries; pandemics
Year: 2021 PMID: 35222871 PMCID: PMC8807146 DOI: 10.5037/jomr.2021.12404
Source DB: PubMed Journal: J Oral Maxillofac Res ISSN: 2029-283X
Demographic characteristics of study population
| Variables | 2019 group (n = 140) | 2020 group (n = 195) | P-value | ||||
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| N (%) | N (%) | ||||||
| Gender | Female | 51 (36.43%) | 46 (23.59%) | 0.011a | |||
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| Male | 89 (63.57%) | 149 (76.41%) | |||||
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| Age (years) | < 18 | 16 (11.43%) | 20 (10.26%) | 0.984 | |||
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| 18 - 34.99 | 39 (27.86%) | 57 (29.23%) | |||||
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| 35 - 64.99 | 57 (40.71%) | 79 (40.51%) | |||||
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| > 65 | 28 (20%) | 39 (20%) | |||||
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| Race | Caucasian | 103 (73.57%) | 132 (67.69%) | 0.394 | |||
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| African American | 27 (19.29%) | 50 (25.64%) | |||||
| Miscellaneous |
| 10 (7.13%) |
| 13 (6.67%) |
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| Asian | 1 (0.71%) | 2 (1.03%) | |||||
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| Not documented | 1 (0.71%) | 4 (2.05%) | |||||
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| Other | 8 (5.71%) | 7 (3.59%) | |||||
aStatistically significant at level P < 0.05 (Chi-square test).
N = number of patients.
Aetiology pertaining to maxillofacial injuries
| Variables | 2019 group (n = 140) | 2020 group (n = 195) | P-value | |||
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| N (%) | N (%) | |||||
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| Assault | 30 (21.43%) | 45 (23.08%) | 0.861a | |||
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| ATV + bicycle accident | 8 (5.72%) | 18 (9.23%) | ||||
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| Suicide attempt | 5 (3.57%) | 10 (5.13%) | ||||
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| Pedestrian struck | 8 (5.71%) | 10 (5.13%) | ||||
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| Fall | 43 (30.71%) | 58 (29.74%) | ||||
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| Motorcycle accident | 8 (5.71%) | 8 (4.1%) | ||||
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| Motor vehicle collision | 22 (15.71%) | 30 (15.38%) | ||||
| Miscellaneous |
| 16 (11.43%) |
| 16 (8.21%) |
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| Work related | 4 (2.86%) | 6 (3.08%) | ||||
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| Sports related | 7 (5%) | 2 (1.03%) | ||||
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| Child abuse | 0 | 1 (0.51%) | ||||
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| Dog bite | 2 (1.43%) | 3 (1.54%) | ||||
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| Other | 3 (2.14%) | 4 (2.05%) | ||||
aStatistically significant at level P < 0.05 (Chi-square test).
N = number of patients; ATV = all-terrain vehicle.
Characteristics of maxillofacial injuries and polytrauma
| Variables | 2019 group (n = 131) | 2020 group (n = 167) | P-value |
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| N | N | ||
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| Nasal | 30 | 40 | 0.897 |
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| Orbit | 28 | 40 | |
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| Maxilla/zygoma | 28 | 39 | |
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| Skull | 24 | 27 | |
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| Mandible | 13 | 15 | |
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| Frontal | 8 | 6 | |
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| Facial fractures | 4.54 (SD 9.58) | 3.82 (SD 7.54) | 0.6 |
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| Scalp, face, neck, intraoral | 1.2 (SD 0.4) | 1.06 (SD 0.24) | 0.002a |
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Intracranial haemorrhage, rib fractures, | 1.55 (SD 0.72) | 1.46 (SD 0.71) | 0.386 |
aStatistically significant at level P < 0.05 (Two sample t-test).
N = number of patients; SD = standard deviation.
Relationship between alcohol and maxillofacial injuries
| 2019 group (n = 90) | 2020 group (n = 132) | P-value | |
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| N (%) | N (%) | ||
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| 31 (34.44%) | 57 (43.18%) | 0.191a |
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| 59 (65.56%) | 75 (56.82%) | |
aStatistically significant at level P < 0.05 (Chi-square test).
N = number of patients.
Relationship between aetiology of facial trauma in patients with positive alcohol level across both groups
| Variables | 2019 group (n = 31) | 2020 group (n = 57) | P-value | |||
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| N (%) | N (%) | |||||
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| Assault | 15 (48.39%) | 19 (33.33%) | 0.378a | |||
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| ATV + bicycle + motorcycle accident | 3 (9.69%) | 3 (5.26%) | ||||
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| Fall | 6 (19.35%) | 16 (28.07%) | ||||
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| Motor vehicle collision | 4 (12.9%) | 15 (26.32%) | ||||
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| Other | Other | 3 (9.68%) | 0 | 4 (7.01%) | 1 (1.75%) | |
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| Pedestrian struck | 2 (6.45%) | 2 (3.51%) | ||||
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| Suicide attempt | 1 (3.23%) | 1 (1.75%) | ||||
aStatistically significant at level P < 0.05 (Chi-square test).
N = number of patients; ATV = all-terrain vehicle.