| Literature DB >> 28821516 |
Shu-Ling Chong1,2, Uzma Rahim Khan3, Indumathy Santhanam4, Jun Seok Seo5, Quan Wang6, Sabariah Faizah Jamaluddin7, Quoc Ai Hoang Trong8, Su Yah Chew9,10, Marcus Eng Hock Ong11,12.
Abstract
OBJECTIVE: We aim to examine the mechanisms of head-injured children presenting to participating centres in the Pan Asian Trauma Outcomes Study (PATOS) and to evaluate the association between mechanism of injury and severe outcomes. DESIGN ANDEntities:
Keywords: aumatic brain injury; child; neurosurgery; non-accidental Injury
Mesh:
Year: 2017 PMID: 28821516 PMCID: PMC5724214 DOI: 10.1136/bmjopen-2016-015759
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Figure 1Map of participating Pan Asian Trauma Outcomes Study (PATOS) centres.
Figure 2Flow diagram of patients included for analysis.
Intent and mechanism of injury among all head injured children
| Children <2 years old (n=415) | Children 2 years old and above (n=1023) | p value | |
| Intent of Injury, n (%) | |||
| Unintentional | 397 (95.7) | 980 (95.8) | |
| Assault – Child Abuse | 6 (1.4) | 9 (0.9) | |
| Assault – Others | 1 (0.2) | 13 (1.3) | |
| Intentional Self-Harm | 0 (0.0) | 1 (0.1) | |
| Unknown | 11 (2.7) | 20 (2.0) | 0.268 |
| Primary Mechanism of Injury, n (%) | |||
| Fall | 344 (82.9) | 613 (59.9) | |
| Road Traffic Injury | 46 (11.1) | 264 (25.8) | |
| Struck by Object or Person | 15 (3.6) | 102 (10.0) | |
| Sports Injury | 0 (0.0) | 25 (2.4) | |
| Gun Shot | 0 (0.0) | 2 (0.2) | |
| Others | 10 (2.4) | 13 (1.3) | <0.001 |
|
| |||
| Total | 46 (100.0) | 264 (100.0) | |
| Pedestrian | 10 (21.7) | 86 (32.6) | |
| Motorcyclist | 7 (15.2) | 75 (28.4) | |
| Vehicle Occupant | 26 (56.5) | 54 (20.5) | |
| Pedal Cyclist | 3 (6.5) | 45 (17.0) | |
| Unknown | 0 (0) | 4 (1.5) | <0.001 |
| Object involved in Injury, n (%) | |||
| Ground Surface | 87 (21.0) | 294 (28.7) | |
| Land Transport/Means of Land Transport | 39 (9.4) | 210 (20.5) | |
| Furniture | 128 (30.8) | 94 (9.2) | |
| Building Component or Fitting | 60 (14.5) | 135 (13.2) | |
| Animal, Plant or Person | 34 (8.2) | 111 (10.9) | |
| Equipment for Sports or Recreational Activity | 1 (0.2) | 67 (6.5) | |
| Infant or Child Care Product | 34 (8.2) | 17 (1.7) | <0.001 |
| Location of Injury, n (%) | |||
| Home | 299 (72.0) | 351 (34.3) | |
| Street, Highway or Road | 43 (10.4) | 276 (27.0) | |
| School | 10 (2.4) | 169 (16.5) | |
| Public Playground or Amusement Park | 8 (1.9) | 61 (6.0) | |
| Sports or Athletics Areas | 1 (0.2) | 50 (4.9) | <0.001 |
Physical examination and outcome measures
| Children <2 years old (n=415) | Children 2 years old and above (n=1023) | p value | |
| Presenting GCS, n (%) | |||
| GCS 14–15 | 342 (82.4) | 837 (81.8) | |
| GCS 8–13 | 24 (5.8) | 91 (8.9) | |
| GCS <8 | 48 (11.6) | 95 (9.3) | 0.077 |
| Physical Examination Findings, n (%) | |||
| Contusion or Hematoma | 172 (41.4) | 353 (34.5) | |
| Abrasion | 89 (21.4) | 214 (20.9) | |
| Palpable Skull Fracture | 33 (8.0) | 75 (7.3) | |
| Laceration | 15 (3.6) | 93 (9.1) | 0.011 |
| CT Brain Performed, n (%) | 187 (45.1) | 660 (64.5) | <0.001 |
| Endotracheal Intubation, n (%) | 55 (13.3) | 114 (11.1) | 0.278 |
| Blood Products Required, n (%) | 18 (4.3) | 60 (5.9) | 0.583 |
| ED LOS* (in hours), median (IQR) | 2.7 (2.0–4.2) | 2.1 (1.2–5.0) | 0.026 |
| ED Disposition, n (%) | |||
| ICU/HD† Admissions | 88 (21.2) | 191 (18.7) | |
| Transfer to Operating Theatre | 2 (0.5) | 33 (3.2) | |
| Transfer to Other Medical Centres | 8 (1.9) | 18 (1.8) | <0.001 |
| Neurosurgical Intervention, n (%) | 31 (7.5) | 84 (8.2) | 0.594 |
| Death, n (%) | 25 (6.0) | 30 (2.9) | 0.012 |
| Hospital LOS* (in days) for Admitted Patients, median (IQR) | 1.0 (1.0–2.0) | 1.0 (1.0–4.0) | <0.001 |
*LOS – Length of Stay
†ICU/HD – Intensive Care Unit/High Dependency
ED, emergency department; GSC, Glasgow Coma Scale.
Mechanism of injury, CT use, severe and secondary outcomes by Gross National Income (GNI)
| Primary Mechanism of injury | |||||
| Lower Middle-Income, n (%) | Upper Middle-Income, n (%) | High-Income, n (%) | Total, n (%) | p value | |
| Total | 230 | 208 | 1000 | 1438 | |
| Fall | 122 (53.0) | 90 (43.3) | 745 (74.5) | 957 (66.6) | <0.001 |
| Traffic Injury | 94 (40.9) | 107 (51.4) | 109 (10.9) | 310 (21.6) | |
| Struck by Person or Object | 5 (2.2) | 8 (3.8) | 104 (10.4) | 117 (8.1) | |
| Sports Injury | 2 (0.9) | 1 (0.5) | 22 (2.2) | 25 (1.7) | |
| Stab or Cut | 0 (0.0) | 0 (0.0) | 4 (0.4) | 4 (0.3) | |
| Gun Shot | 2 (0.9) | 0 (0.0) | 0 (0.0) | 2 (0.1) | |
| Others* | 5 (2.2) | 2 (1.0) | 16 (1.6) | 23 (1.6) | |
| CT Use | |||||
| CT Use | 214 (93.0) | 208 (100.0) | 426 (42.6) | 848 (59.0) | <0.001 |
| Severe Outcomes | |||||
| Endotracheal Intubation | 49 (21.4) | 97 (46.6) | 23 (2.3) | 169 (11.8) | <0.001 |
| Neurosurgical Intervention | 20 (10.4) | 71 (34.1) | 24 (2.4) | 115 (8.2) | <0.001 |
| Death | 13 (5.7) | 35 (16.8) | 7 (0.7) | 55 (3.8) | <0.001 |
| Secondary Outcomes | |||||
| Admitted to Hospital | 187 (81.3) | 188 (90.4) | 788 (78.8) | 1163 (80.9) | <0.001 |
| Hospital Length of Stay, median (IQR) | 3.0 (2.0–6.0) | 5.0 (2.0–13.0) | 1.0 (1.0–2.0) | 1.0 (1.0–3.0) | <0.001 |
*‘Others’ mechanism comprised primarily of cases where the mechanism of injuries could not be obtained or categorised from retrospective chart review.
Logistic regression for death, intubation or neurosurgical intervention
| Unadjusted OR (95% CI) | Adjusted OR (95% CI) | |
| Age | 0.988 (0.960 to 1.017) | 0.968 (0.932 to 1.007) |
| Male Gender | 1.612 (1.165 to 2.231) | 1.233 (0.832 to 1.828) |
| Mechanism of Injury | ||
| Fall | Referent | Referent |
| Road Traffic Injury | 4.903 (3.574 to 6.726) | 2.183 (1.448 to 3.293) |
| Struck by Person or Object | 0.857 (0.433 to 1.695) | 1.135 (0.484 to 2.661) |
| Others | 2.084 (1.016 to 4.277) | 2.946 (1.200 to 7.227) |
| Intent | ||
| Unintentional | Referent | Referent |
| Intentional | 2.956 (1.355 to 6.446) | 2.470 (0.839 to 7.272) |
| Unknown | 0.802 (0.278 to 2.311) | 1.252 (0.365 to 4.291) |
| Gross National Income | ||
| High-Income | Referent | Referent |
| Upper Middle-Income | 37.240 (24.178 to 57.360) | 28.579 (17.986 to 45.412) |
| Lower Middle-Income | 10.612 (6.838 to 16.471) | 8.769 (5.520 to 13.929) |