| Literature DB >> 28737727 |
Ko-Chien Lin1, Shu-Hui Peng2, Pao-Jen Kuo3, Yi-Chun Chen4, Cheng-Shyuan Rau5, Ching-Hua Hsieh6.
Abstract
Purpose: This study aimed to determine the patterns associated with adult mandibular fractures from a Level-I trauma center in southern Taiwan.Entities:
Keywords: helmet; mandibular fracture; motorcycle accident; trauma
Mesh:
Year: 2017 PMID: 28737727 PMCID: PMC5551259 DOI: 10.3390/ijerph14070821
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Demographics and injury characteristics of adult trauma patients with mandible fractures.
| Variables | Patients |
|---|---|
| Male | 207(66.3) |
| Female | 105(33.7) |
| 36.5 ± 15.2 | |
| Motorcycle accident | 238(76.3) |
| Fall | 34(10.9) |
| Motor vehicle accident (MVA) | 15(4.8) |
| Struck by/against objects | 14(4.5) |
| Bicycle accident | 7(2.2) |
| Pedestrian | 4(1.3) |
| 13.5 ± 3.1 | |
| ≤8 (%) | 35(11.2) |
| 9–12 (%) | 23(7.4) |
| ≥13 (%) | 254(81.4) |
| Cranial fracture | 36(11.5) |
| Epidural hematoma (EDH) | 18(5.8) |
| Subdural hematoma (SDH) | 32(10.3) |
| Subarachnoid hemorrhage (SAH) | 34(10.9) |
| Intracerebral hematoma (ICH) | 8(2.6) |
| Cerebral contusion | 14(4.5) |
| Cervical vertebral fracture | 4(1.3) |
| Symphysis | 98(19.5) |
| Parasymphysis | 109(21.7) |
| Body | 47(9.3) |
| Angle and Ramus | 88(17.5) |
| Condylar neck and Head | 161(32.0) |
N = number of patients, n = number of fractures.
Figure 1Numbers and percentage of patients per fracture sites of the mandible caused by different trauma. (a) motorcycle; (b) fall; (c) motor vehicle; (d) struck; (e) bicycle; (f) pedestrian.
The association between cause of trauma and sites of mandibular fractures.
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| Symphysis | 13(23.2) | 4(14.8) | 4(22.2) | 0(0.0) | 1(20.0) | |||||
| Parasymphysis | 11(19.6) | 5(18.5) | 3(16.7) | 3(33.3) | 0(0.0) | |||||
| Body | 6(10.7) | 6(22.2) | 2(11.1) | 1(11.1) | 1(20.0) | |||||
| Angle and Ramus | 4(7.1) | 6(22.2) | 8(44.4) | 3(33.3) | 1(20.0) | |||||
| Condylar neck and Head | 22(39.3) | 6(22.2) | 1(5.6) | 2(22.2) | 2(40.0) | |||||
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| Symphysis | 1.2(0.64–2.42) | 0.527 | 0.7(0.24–2.13) | 0.545 | 1.2(0.38–3.66) | 0.784 | - | 0.999 | 1.0(0.11–9.34) | 0.982 |
| Parasymphysis | 0.8(0.421.71) | 0.639 | 0.8(0.29–2.14) | 0.637 | 0.7(0.20–2.45) | 0.567 | 1.7(0.42–7.06) | 0.445 | - | 0.999 |
| Body | 1.4(0.55–3.48) | 0.492 | 3.3(1.24–8.76) | 0.017 | 1.4(0.32–6.55) | 0.637 | 1.4(0.17–11.89) | 0.735 | 2.9(0.31–26.56) | 0.351 |
| Angle and Ramus | 0.4(0.13–1.07) | 0.068 | 1.4(0.54–3.59) | 0.491 | 3.9(1.48–10.26) | 0.006 | 2.4(0.60–10.00) | 0.215 | 1.2(0.13–11.09) | 0.860 |
n = number of fractures.
The association between helmet use and body mass index (BMI) in motorcycle accidents and sites of mandibular fractures.
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| Age | 32.2 ± 10.9 | 32.2 ± 12.2 | 39.0 ± 16.4 | 35.5 ± 17.1 | 33.6 ± 13.4 | |||||
| Gender (M/F) | 29/47 | 30/57 | 7/24 | 24/42 | 60/68 | |||||
| BMI classification | ||||||||||
| Obese | 4(5.3) | 8(9.2) | 0(0.0) | 3(4.5) | 5(3.9) | |||||
| Overweight | 16(21.1) | 19(21.8) | 9(29.0) | 14(21.2) | 22(17.2) | |||||
| Underweight | 7(9.2) | 5(5.7) | 2(6.5) | 3(4.5) | 11(8.6) | |||||
| Normal | 45(59.2) | 53(60.9) | 20(64.5) | 43(65.2) | 83(64.8) | |||||
| Unknown | 4(5.3) | 2(2.3) | 0(0.0) | 3(4.5) | 7(5.5) | |||||
| Helmet use | ||||||||||
| Yes | 58(76.3) | 71(81.6) | 29(93.5) | 50(75.8) | 112(87.5) | |||||
| No | 13(17.1) | 14(16.1) | 2(6.5) | 13(19.7) | 14(10.9) | |||||
| Unknown | 5(6.6) | 2(2.3) | 0(0.0) | 3(4.5) | 2(1.6) | |||||
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| BMI classification | BMI classification | |||||||||
| Obese | 1.2(0.38–3.91) | 0.739 | 1.9(0.72–5.21) | 0.192 | - | Obese | 1.2(0.38–3.91) | 0.739 | 1.9(0.72–5.21) | 0.192 |
| Overweight | 1.3(0.65–2.51) | 0.486 | 1.2(0.66–2.31) | 0.502 | 1.0(0.41–2.35) | Overweight | 1.3(0.65–2.51) | 0.486 | 1.2(0.66–2.31) | 0.502 |
| Underweight | 1.5(0.56–4.05) | 0.418 | 1.0(0.34–2.70) | 0.933 | 1.3(0.28–6.38) | Underweight | 1.5(0.56–4.05) | 0.418 | 1.0(0.34–2.70) | 0.933 |
| Helmet use | Helmet use | |||||||||
| Yes | 0.6(0.29–1.22) | 0.158 | 0.9(0.45–1.84) | 0.803 | 3.9(0.87–17.26) | Yes | 0.6(0.29–1.22) | 0.158 | 0.9(0.45–1.84) | 0.803 |
n = number of fractures.