| Literature DB >> 30774508 |
Samuel Ribak1,2, Elton João Nunes de Oliveira1,2, Gustavo Pupo Rosolino1, Pedro Orru1, Alexandre Tietzmann1.
Abstract
OBJECTIVE: To evaluate the epidemiology of traumatic injuries of the upper limbs treated at a university hospital and identify the causes, types of injuries, and risk factors.Entities:
Keywords: Accidents, Occupational; Epidemiology; Hand; Incidence; Risk factors; Trauma; Upper extremity
Year: 2018 PMID: 30774508 PMCID: PMC6362678 DOI: 10.1590/1413-785220182606180607
Source DB: PubMed Journal: Acta Ortop Bras ISSN: 1413-7852 Impact factor: 0.513
Figure 1Distribution of patients according to the type of accident.
Figure 2Sex distribution according to the type of accident.
Figure 3Mean age according to the type of accident.
Occurrence of accidents according to time period and weekday
| Morning | Afternoon | Night | Total | |||||
|---|---|---|---|---|---|---|---|---|
| N | % | N | % | N | % | N | % | |
| Beginning of the week | 44 | 27% | 78 | 30% | 39 | 22% | 161 | 27% |
| Middle of the week | 47 | 28% | 72 | 28% | 53 | 30% | 172 | 29% |
| Weekend | 74 | 45% | 111 | 43% | 84 | 48% | 269 | 45% |
| Total | 165 | 27% | 261 | 43% | 176 | 29% | 602 | 100% |
Distribution of affected region according to accident group.
| Affected segment | Domestic | Work | Transport | |||
|---|---|---|---|---|---|---|
| N | % | N | % | N | % | |
| Shoulder | 43 | 10.4% | 5 | 6.0% | 27 | 20.0% |
| Arm | 18 | 4.4% | 1 | 1.2% | 11 | 8.1% |
| Elbow | 49 | 11.9% | 2 | 2.4% | 9 | 6.7% |
| Forearm | 47 | 11.4% | 2 | 2.4% | 13 | 9.6% |
| Wrist | 122 | 29.6% | 14 | 16.9% | 42 | 31.1% |
| Hand | 61 | 14.8% | 15 | 18.1% | 16 | 11.9% |
| Fingers | 67 | 16.3% | 45 | 54.2% | 20 | 14.8% |
| Multiple injuries | 5 | 1,2% | 1 | 1.2% | 3 | 2.2% |
| Total | 412 | 83 | 135 | |||
Distribution of lesions according to accident group.
| Tipo de Ferimento | Domestic | Work | Transport | |||
|---|---|---|---|---|---|---|
| N | % | N | % | N | % | |
| Closed fracture | 300 | 72.8% | 41 | 49.4% | 117 | 86.7% |
| Open fracture | 27 | 6.6% | 17 | 20.5% | 10 | 7.4% |
| Laceration/Perforation/Cut | 17 | 4.1% | 10 | 12.0% | 3 | 2.2% |
| Tendon lesion | 21 | 5.1% | 8 | 9.6% | 1 | 0.7% |
| Neurologic lesion | 4 | 1.0% | 0 | 0.0% | 1 | 0.7% |
| Vascular lesion | 1 | 0.2% | 0 | 0.0% | 0 | 0.0% |
| Dislocation | 43 | 10.4% | 5 | 6.0% | 10 | 7.4% |
| Amputation | 3 | 0.7% | 4 | 4.8% | 0 | 0.0% |
| Complex injury | 0 | 0.0% | 2 | 2.4% | 0 | 0.0% |
| Total | 412 | 83 | 135 | |||
Distribution of management according to accident group.
| Management | Domestic | Work | Transport | |||
|---|---|---|---|---|---|---|
| N | % | N | % | N | % | |
| Treatment conservative | 329 | 79.9% | 49 | 59.0% | 104 | 77.0% |
| Surgical treatment | 77 | 18.7% | 32 | 38.6% | 29 | 21.5% |
| Inpatient | 0 | 0,0% | 0 | 0.0% | 1 | 0.7% |
| Avoidance | 1 | 0.2% | 0 | 0.0% | 0 | 0.0% |
| No response | 1 | 0.2% | 0 | 0.0% | 0 | 0.0% |
| Total | 412 | 83 | 135 | |||
Distribution of affected segment according to severity.
| Follow-up | N | % | P value |
|---|---|---|---|
| Fingers | 67 | 39.4% | <0.0001 |
| Wrist | 34 | 20.0% | <0.0001 |
| Hand | 20 | 11.8% | <0.0001 |
| Elbow | 13 | 7.6% | <0.0001 |
| Forearm | 13 | 7.6% | <0.0001 |
| Arm | 12 | 7.1% | <0.0001 |
| Shoulder | 6 | 3.5% | <0.0001 |
| Multiple injuries | 5 | 2.9% | <0.0001 |
| Total | 170 |
Correlation of accident groups with alcohol consumption and level of education.
| Domestic | Work | Transport | Total | P value | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| N | % | N | % | N | % | N | % | |||
| Alcohol | Yes | 350 | 89% | 73 | 96% | 106 | 87% | 529 | 90% | 0.110 |
| No | 42 | 11% | 3 | 4% | 16 | 13% | 61 | 10% | ||
| Education | Illiterate | 77 | 20% | 3 | 4% | 7 | 6% | 87 | 15% | |
| Primary | 182 | 48% | 37 | 51% | 54 | 46% | 273 | 48% | <0.001 | |
| Secondary | 106 | 28% | 29 | 40% | 50 | 42% | 185 | 32% | ||
| Higher | 14 | 4% | 4 | 5% | 7 | 6% | 25 | 4% | ||