| Literature DB >> 33752920 |
G R Hoffman1, G M Walton2, P Narelda3, M M Qiu4, A Alajami3.
Abstract
The purpose of this study was to undertake a retrospective cross-sectional analysis to compare the frequency and characteristics of facial injury presentations at a UK and an Australian tertiary referral hospital during the implementation of COVID-19 social-distancing measures. The primary predictor variables were a heterogeneous set of factors grouped into logical categories: demographics, injury mechanisms and site, and management. The primary outcome variable was the presentation of a hard or soft tissue facial injury. A descriptive statistical analysis was undertaken on the assembled data. The study found a clinical and statistically significant reduction in the frequency (absolute number) of facial injuries at each study site. In addition, a striking similarity common in both countries was an increase in the number of facial injuries due to falls and a reduction in facial injuries due to interpersonal violence. Conservative (non-operative) management of facial injury increased at both sites. The implementation of COVID-19 social-distancing public health measures, which aimed to limit community transmission of the coronavirus, had a secondary serendipitous effect of reducing the frequency of facial injury presentations and altering their epidemiological characteristics at both a UK and Australian tertiary referral hospital.Entities:
Keywords: COVID-19; epidemiology; facial injury; public health; social distancing
Year: 2020 PMID: 33752920 PMCID: PMC7485452 DOI: 10.1016/j.bjoms.2020.09.006
Source DB: PubMed Journal: Br J Oral Maxillofac Surg ISSN: 0266-4356 Impact factor: 1.651
Comparison of Demographics, Injury type, Mechanisms and Management
| Australia | UK | |||||||
|---|---|---|---|---|---|---|---|---|
| Characteristic | 2019 (n = 103) | 2020 (n = 73) | P-value | 2019 (n = 149) | 2020 (n = 37) | P-value | ||
| Age | 0-10 | 10 (9.7%) | 8 (11%) | 0.4039 | 8 (5.4%) | 10 (27%) | 0.002 | |
| 11-20 | 17 (17%) | 8 (11%) | 18 (12%) | 1 (2.7%) | ||||
| 21-30 | 27 (26%) | 13 (18%) | 26 (17%) | 7 (19%) | ||||
| 31-40 | 10 (9.7%) | 11 (15%) | 34 (23%) | 5 (14%) | ||||
| 41-50 | 11 (11%) | 8 (11%) | 14 (9.4%) | 3 (8.1%) | ||||
| 51-60 | 12 (12%) | 6 (8.2%) | 23 (15%) | 3 (8.1%) | ||||
| 61-70 | 7 (6.8%) | 5 (6.8%) | 13 (8.7%) | 1 (2.7%) | ||||
| 71-80 | 4 (3.9%) | 9 (12%) | 7 (4.7%) | 3 (8.1%) | ||||
| 81-90 | 5 (4.9%) | 4 (5.5%) | 4 (2.7%) | 4 (11%) | ||||
| 91-100 | 0 | 1 (1.4%) | 2 (1.3%) | 0 | ||||
| Gender | Male | 84 (82%) | 52 (71%) | 0.1075 | 45 (30%) | 9 (24%) | 0.481 | |
| Female | 19 (18%) | 21 (29%) | 104 (70%) | 28 (76%) | ||||
| Mechanism | Animal injuries | 6 (5.8%) | 4 (5.5%) | 0.1099 | 6 (4.0%) | 2 (5.4%) | 0.006 | |
| Domestic Violence | 0 | 3 (4.1%) | 0 | 0 | ||||
| Falls | 22 (21%) | 28 (38%) | 44 (30%) | 20 (54%) | ||||
| Interpersonal violence | 39 (38%) | 19 (26%) | 67 (45%) | 8 (22%) | ||||
| MVA | 11 (11%) | 6 (8.2%) | 8 (5.4%) | 1 (2.7%) | ||||
| Sports | 19 (18%) | 10 (14%) | 13 (8.7%) | 0 | ||||
| Work | 3 (2.9%) | 1 (1.4%) | 0 | 0 | ||||
| Unknown/Other | 3 (2.9%) | 2 (2.7%) | 11 (7.4%) | 5 (14%) | ||||
| Injury | Isolated Maxillofacial Bony injury | 54 (52%) | 43 (60%) | 0.6236 | 49 (33%) | 16 (43%) | 0.005 | |
| Isolated Soft tissue | 26 (25%) | 16 (22%) | 88 (59%) | 6 (16%) | ||||
| Polytrauma | 23 (22%) | 13 (18%) | 5 (3.4%) | 15 (41%) | ||||
| Unknown | 0 | 0 | 7 (4.7%) | 0 | ||||
| Type of bony injury | Dentoalveolar | 1 (1.0%) | 0 | 0.1186 | 0 | 5 (14%) | 0.001 | |
| Frontal bone | 4 (3.9%) | 4 (5.5%) | 0 | 0 | ||||
| Mandible | 7 (6.8%) | 11 (15%) | 28 (19%) | 6 (16%) | ||||
| Maxilla/Midface | 0 | 3 (4.1%) | 1 (0.7%) | 0 | ||||
| Nasal bone/ NOE | 11 (11%) | 4 (5.5%) | 0 | 0 | ||||
| Orbit | 15 (15%) | 14 (19%) | 14 (9.4%) | 3 (8.1%) | ||||
| Pan-facial | 13 (13%) | 9 (12%) | 2 (1.3%) | 2 (5.4%) | ||||
| Zygomatic-maxillary Complex | 22 (21%) | 8 (11%) | 7 (4.7%) | 5 (14%) | ||||
| N/A | 30 (29%) | 20 (27%) | 97 (65%) | 16 (43%) | ||||
| Management | Non-operative | 47 (46%) | 41 (56%) | 0.1685 | 24 (16%) | 14 (38%) | 0.009 | |
| Operative | 56 (54%) | 32 (44%) | 120 (80%) | 23 (62%) | ||||
| Unknown | 0 | 0 | 5 (3.4%) | 0 | ||||
Significance set at p < 0.05.
Admissions and Prevalence (per 1000 persons) by site and year.
| Australia | UK | |||||||
|---|---|---|---|---|---|---|---|---|
| 2019 | 2020 | 2019 | 2020 | |||||
| Week | Admissions | Prevalence per 1000 Persons | Admissions | Prevalence per 1000 Persons | Admissions | Prevalence per 1000 Persons | Admissions | Prevalence per 1000 Persons |
| 1 | 5 | 0.0053 | 14 | 0.0147 | 25 | 0.0263 | 8 | 0.0084 |
| 2 | 15 | 0.0159 | 10 | 0.0105 | 27 | 0.0284 | 5 | 0.0053 |
| 3 | 7 | 0.0074 | 9 | 0.0094 | 20 | 0.0211 | 5 | 0.0053 |
| 4 | 10 | 0.0106 | 6 | 0.0063 | 13 | 0.0137 | 2 | 0.0021 |
| 5 | 19 | 0.0202 | 7 | 0.0073 | 13 | 0.0137 | 5 | 0.0053 |
| 6 | 14 | 0.0149 | 13 | 0.0136 | 20 | 0.0211 | 4 | 0.0042 |
| 7 | 13 | 0.0138 | 6 | 0.0063 | 11 | 0.0116 | 5 | 0.0053 |
| 8 | 20 | 0.0212 | 8 | 0.0084 | 20 | 0.0211 | 3 | 0.0032 |
| 103 | 0.1093 | 73 | 0.0766 | 149 | 0.1568 | 37 | 0.0389 | |
Comparison of Prevalence between 2019 and 2020.
| Incidence Rate Ratio 2020 vs 2019 | p-value | |
|---|---|---|
| Australia | 0.70 (0.52, 0.95) | 0.020 |
| UK | 0.25 (0.17, 0.36) | 0.000 |