| Literature DB >> 35066752 |
Sipho Simon Nhongo1, Anton Sklavos2, Kai Lee3, Steven T F Chan4, Stephen Austin5.
Abstract
PURPOSE: To compare the incidence, aetiology, and patterns of maxillofacial fracture presentations during the various stages of the 2020 Melbourne COVID-19 lockdown restrictions to periods outside lockdown in 2019 and 2020.Entities:
Keywords: COVID-19; Coronavirus; Jaw fractures; Maxillofacial injuries; Public health; Violence
Year: 2022 PMID: 35066752 PMCID: PMC8783956 DOI: 10.1007/s10006-022-01041-6
Source DB: PubMed Journal: Oral Maxillofac Surg ISSN: 1865-1550
Fig. 1Monthly incidence of maxillofacial fractures. Lockdown (L) in red vs. no lockdown (NL) in black
Comparison of demographics, mechanism of injury, and fracture type
| Lockdown: 181 days ( | Non-lockdown: 470 days ( | P value | |
|---|---|---|---|
| Demographics | |||
| Gender† | 0.03 | ||
| Male | 45 (60.0%) | 197 (73.2%) | |
| Female | 30 (40.0%) | 72 (26.8%) | |
| Age§ | 40 (IQR 27–63) | 35 (IQR 25–58) | 0.28 |
| Mechanism of injury | |||
| Interpersonal violence† | 24 (32%) | 117 (43.5%) | 0.07 |
| Falls† | 33 (44%) | 69 (25.7%) | 0.002 |
| Mechanical | 18 (24%) | 42 (15.6%) | 0.09 |
| Intrinsic | 15 (20%) | 27 (10%) | 0.02 |
| Intoxicated fall† | 2 (3%) | 9 (3.3%) | 0.93 |
| Domestic violence† | 5 (6.7%) | 3 (1.1%) | 0.006 |
| Sporting injury† | 3 (4%) | 46 (17.1%) | 0.005 |
| Motor vehicle accident† | 2 (2.7%) | 3 (1.1%) | 0.96 |
| Motorbike accident | 0 | 2 (0.7%) | |
| Workplace injury | 0 | 3 (1.1%) | |
| Other transport injury† | 1 (1.3%) | 12 (4.5%) | |
| Seizure† | 1 (1.3%) | 1 (0.4%) | 0.44 |
| Accident (other) † | 1 (1.3%) | 4 (1.4%) | 0.90 |
| Unclear | 3 (4%) | 2 (0.8%) | |
| Fracture type | |||
| Orbit | 22 (29.3%) | 76 (28.3%) | 0.86 |
| Nasal bones | 19 (25.3%) | 48 (17.8%) | 0.15 |
| Mandible | 16 (21.3%) | 53 (19.7%) | 0.76 |
| ZMC | 12 (16.0%) | 61 (22.7%) | 0.23 |
| Maxilla | 10 (7.5%) | 28 (10.4%) | 0.48 |
| Zygomatic arch | 4 (5.3%) | 12 (4.5%) | 0.82 |
| Frontal bone | 3 (4.0%) | 6 (2.2%) | 0.48 |
| NOE | 0 | 7 (2.6%) | |
| Le Fort I | 0 | 2 (0.7%) | |
| Le Fort II | 0 | 2 (0.7%) | |
†Differences in binomial proportions; ‡median (IQR, interquartile range); §Mann–Whitney U test; pushbike accidents and scooters
Abbreviations: ZMC, zygomaticomaxillary complex; NOE, nasoorbitoethmoid
Comparison of alcohol and substance-related injuries
| Lockdown: 181 days ( | Non-lockdown: 470 days ( | P value | |
|---|---|---|---|
| Alcohol | |||
| Alcohol-related injury† | 8 (11%) | 57 (21%) | 0.03 |
| Non-alcohol related injury† | 57 (76%) | 171 (64%) | |
| Unclear† | 10 (13%) | 41 (15%) | 0.71 |
| Other illicit substances* | |||
| Intoxicated† | 10 (13.3%) | 14 (5.2%) | 0.02 |
| Not intoxicated† | 65 (86.6%) | 255 (94.8%) | |
†Differences in binomial proportions
Management outcomes
| Lockdown (n = 75) | No lockdown (n = 269) | P value | |
|---|---|---|---|
| Review outcome | |||
| Attended review | 67 (89.3%) | 247 (91.8%) | 0.51 |
| Did not attend | 8 (10.7%) | 22 (8.2%) | |
| Operative cases | |||
| Operative | 18 (26.9%) | 74 (30.0%) | 0.65 |
| Emergency | 11 (61.1%) | 36 (48.6%) | 0.53 |
| Elective | 7 (38.9%) | 38 (51.4%) | |
| Nonoperative | 49 (73.1%) | 173 (70.0%) | |
†Differences in binomial proportions