| Literature DB >> 35436903 |
Albert P Macha1, Rogers Temu2, Frank Olotu3, Neil P Seth4, Honest L Massawe2.
Abstract
BACKGROUND: Diaphyseal femur fractures contribute up to 40% of paediatric orthopaedic admissions with the World Health Organisation data showing youth are particularly vulnerable and road traffic injuries are the leading cause of death for children and young adults. Different mechanisms results to these injuries and they vary with age and geographical location of the patient. Understanding the incidence, mechanism and pattern of these injuries allows planning for preventive measures and treatment to meet modern day patient demands, generation of appropriate and timely protocols with minimum social and economic burden to the patient and family. OBJECTIVES AND METHODS: A hospital based cross sectional study was conducted using the orthopaedic department patient registry among children aged under 18 years admitted from 2014-2018. Our research question was to determine the epidemiology of diaphyseal femur fractures and coexisting associated injuries among admitted paediatric orthopaedic patients. Patient files were reviewed from the medical records department and a data collecting sheet was used to record demographics and injury data. Odds ratios with 95% confidence intervals for associated injuries in paediatric diaphyseal femur fractures were estimated using multivariable logistic regression model.Entities:
Keywords: Childhood; Femur; Fracture; Orthopaedic Injuries
Mesh:
Year: 2022 PMID: 35436903 PMCID: PMC9017012 DOI: 10.1186/s12891-022-05320-x
Source DB: PubMed Journal: BMC Musculoskelet Disord ISSN: 1471-2474 Impact factor: 2.562
Fig. 1Diaphyseal femur fractures recruitment flowchart
Patient Demographics (n = 162)
| Characteristics | N | % |
|---|---|---|
| Median Age in years (IQR) | 8 (4–12) | |
| Age category in years | ||
| < 1 | 3 | 1.9 |
| 1 – 2 | 21 | 13.0 |
| 3 – 5 | 31 | 19.1 |
| 6—12 | 72 | 44.4 |
| 13 – 18 | 35 | 21.6 |
| Sex | ||
| Male | 111 | 68.5 |
| Female | 51 | 31.5 |
| Level of Education | ||
| Preschool | 36 | 22.2 |
| Kindergarten | 22 | 13.6 |
| Primary | 86 | 53.1 |
| Secondary | 18 | 11.1 |
| Insurance status | ||
| Insured | 18 | 11.1 |
| Not insured | 144 | 88.9 |
| Location at time of injury | ||
| Home | 54 | 33.3 |
| School | 13 | 8 |
| Road | 64 | 39.5 |
| Public playground | 18 | 11.1 |
| Other | 13 | 8 |
Patient Injury Characteristics (n = 162)
| Characteristics | N | % |
|---|---|---|
| Fracture type | ||
| Closed | 156 | 96.3 |
| Open | 6 | 3.7 |
| Fracture location | ||
| Proximal | 50 | 30.9 |
| Middle | 80 | 49.4 |
| Distal | 32 | 19.8 |
| Side of femur fracture | ||
| Right | 85 | 52.5 |
| Left | 72 | 44.4 |
| Both | 5 | 3.1 |
| Fracture pattern | ||
| Transverse | 79 | 48.8 |
| Oblique | 36 | 22.2 |
| Spiral | 33 | 20.4 |
| Comminuted | 14 | 8.6 |
| Type of traction | ||
| Skin | 53 | 32.7 |
| Skeletal | 109 | 67.3 |
| Treatment Type | ||
| Non Operative | 112 | 69.1 |
| Operative | 50 | 30.9 |
| Length Of Hospital Stay | ||
| ≤ 7 Days | 22 | 13.6 |
| 8 – 14 Days | 34 | 21 |
| 14 > | 106 | 65.4 |
Mechanism of Injury of Paediatric Diaphyseal Femur Fractures by Age (n = 162)
| Mechanism of Injury | Age Categories in Years | N | % | |||||
|---|---|---|---|---|---|---|---|---|
| < 1 | 1—2 | 3—5 | 6—12 | 13—18 | ||||
| Fall | ||||||||
| Running | 0 | 6 | 5 | 4 | 3 | 18 | 11.1 | |
| ≤ 2 m | Playground | 0 | 2 | 2 | 8 | 8 | 20 | 12.3 |
| Furniture | 3 | 6 | 3 | 4 | 0 | 16 | 9.9 | |
| Other | 0 | 1 | 5 | 7 | 3 | 16 | 9.9 | |
| > 2 m | Tree | 0 | 0 | 0 | 16 | 7 | 23 | 14.2 |
| RTI | ||||||||
| Pedestrian MCA | 0 | 2 | 10 | 12 | 4 | 28 | 17.3 | |
| Pedestrian MVA | 0 | 0 | 0 | 11 | 1 | 12 | 7.4 | |
| Pilliona MCA | 0 | 0 | 3 | 3 | 4 | 10 | 6.2 | |
| Passenger MVA | 0 | 0 | 1 | 2 | 5 | 8 | 4.9 | |
| Falling Objects | ||||||||
| Gate/Doors/walls | 0 | 1 | 1 | 2 | 0 | 4 | 2.5 | |
| Other objects | 0 | 3 | 1 | 3 | 0 | 7 | 4.3 | |
aPillion refers to a patient was carried on a motorcycle at the time of injury
MCA Motorcycle Accident
MVA Motor vehicle Accident
Fig. 2Distribution of associated injuries across different age categories (n = 38)
Factors related to Diaphyseal Femur Fracture Associated Injuries (n = 162)
| Associated injuries | ||||
|---|---|---|---|---|
| Yes | Total | |||
| n (%) | n (%) | |||
| Factors | 38 (23.5) | 162 (100) | OR (95% CI) | |
| Age (years) | ||||
| ≤ 2 | 1 (2.6) | 24 (14.8) | 1 | |
| 3 to 5 | 7 (18.4) | 31 (19.1) | 6.71 (0.76—58.87) | 0.086 |
| 6 to 12 | 19 (50.0) | 72 (44.4) | 8.25 (1.04—65.31) | 0.046 |
| 13 to 18 | 11 (28.9) | 35 (21.6) | 10.54 (1.26—88.31) | 0.031 |
| Sex | ||||
| Male | 25 (65.8) | 111 (68.5) | 1 | |
| Female | 13 (34.2) | 51 (31.5) | 1.18 (0.54—2.55) | 0.679 |
| Fracture typea | ||||
| Closed | 32 (84.2) | 156 (96.3) | - | |
| Open | 6 (15.8) | 6 (3.7) | - | < 0.001 |
| Fracture pattern | ||||
| Transverse | 23 (60.5) | 79 (48.8) | 1 | |
| Oblique | 8 (21.1) | 36 (22.2) | 0.69 (0.27—1.75) | 0.441 |
| Spiral | 2 (5.3) | 33 (20.4) | 0.16 (0.03—0.71) | 0.016 |
| Comminuted | 5 (13.2) | 14 (8.6) | 1.35 (0.41—4.47) | 0.621 |
| Injury Mechanism | ||||
| Falling | 6 (15.8) | 93 (57.4) | 1 | |
| RTI | 30 (78.9) | 58 (35.8) | 16.73 (6.28—44.57) | < 0.001 |
| Falling objects | 2 (5.3) | 11 (6.8) | 2.64 (0.47—14.71) | 0.269 |
a Fisher’s exact test
CI Confidence Interval
OR Odds Ratio
RTI Road Traffic Injuries