| Literature DB >> 35505752 |
Vikas Verma1, Mayank Mahendra2.
Abstract
PURPOSE: This retrospective study aims to document the epidemiology of pediatric musculoskeletal trauma patients admitted over a one and half year period to the trauma center of King George's Medical University (KGMU) and the effect of COVID-19-induced lockdown on the timeliness of care.Entities:
Keywords: covid 19; fracture in a child; injury epidemiology; paediatric orthopedics; trauma pediatric
Year: 2022 PMID: 35505752 PMCID: PMC9053545 DOI: 10.7759/cureus.23648
Source DB: PubMed Journal: Cureus ISSN: 2168-8184
Figure 1The age-wise frequency of musculoskeletal injuries in males and females
Age-wise mechanism of injury
| Age | Mechanism of Injury | N | % |
| 0-2 years | Low energy fall | 08 | 80.00 |
| Road traffic accident | 01 | 10.00 | |
| High energy fall | 00 | 00.00 | |
| Others | 01 | 10.00 | |
| 3-6 years | Low energy fall | 09 | 81.82 |
| Road traffic accident | 02 | 18.18 | |
| High energy fall | 00 | 0.00 | |
| Others | 00 | 0.00 | |
| 7-12 years | Low energy fall | 30 | 56.60 |
| Road traffic accidents | 05 | 0.9.43 | |
| High energy fall | 16 | 30.19 | |
| Others | 02 | 03.77 | |
| 13-17 years | Low energy falls | 30 | 37.03 |
| Road traffic accidents | 30 | 37.03 | |
| High energy fall | 26 | 32.09 | |
| Others | 05 | 06.17 |
Injury characteristics
| Variable | No | % | |
| Type of injury | Blunt | 155 | 93.37 |
| Penetrating | 1 | 0.60 | |
| Nature of injury | Fracture | 131 | 78.92 |
| Crush | 1 | 0.60 | |
| Amputation | 4 | 2.41 | |
| Dislocation | 1 | 0.60 | |
| Physeal injury | 2 | 1.20 | |
| Fracture dislocation | 6 | 3.61 | |
| Combination | 21 | 12.65 | |
| Clinical type of fracture | Simple | 110 | 66.27 |
| Compound | 28 | 16.87 | |
| Combination | 8 | 4.82 | |
| Region involved | Upper Limb | 59 | 35.54 |
| Lower Limb | 70 | 42.17 | |
| Pelvis | 2 | 1.20 | |
| Spine | 13 | 7.83 | |
| Pelvis with extremity | 7 | 4.22 | |
| Spine with extremity | 8 | 4.82 | |
| Both extremities | 7 | 4.22 | |
Figure 2Distribution of injuries in the lower limb
Figure 3Distribution of injuries in the upper extremity
Age distribution of subjects according to sex ratio, limb distribution, and common fracture types
| Age group (number of fractures) | Male%: Female% | Upper limb%: Lower limb% | Two most common fractures | N(% age) |
| 0-2 (10) | 40:60 | 80:20 | Distal radius physeal injury | 3(30.00) |
| Fracture of clavicle | 2(20.00) | |||
| 3-6 (16) | 53.84: 46.14 | 56.25:43.75 | Both bone forearm | 5(31.25) |
| Both bone leg | 4(25.00) | |||
| 7-12 (44) | 68.25:31.75 | 56.10: 43.90 | Shaft femur | 13(29.54) |
| Supracondylar humerus | 9(20.45) | |||
| 13- 17 (184) | 69.47: 30.53 | 73.02:26.98 | Fracture shaft femur | 29(15.76) |
| Vertebral fracture | 25(13.58) |