| Literature DB >> 35800479 |
Paul Prabhakar Abhilash Kundavaram1, Anmol Jindal2, Darpanarayan Hazra3, Albin Biju4, Feema Raju4, C C Samarpit4.
Abstract
Background: Trauma is a leading cause of morbidity and mortality in both developed and developing countries. Methodology: This retrospective observational study was done in the Emergency Department (ED) of a tertiary care trauma center in Southern India in 2018 (January to December).Entities:
Keywords: Accidents; emergency department; profile of trauma; road traffic accidents; trauma
Year: 2022 PMID: 35800479 PMCID: PMC9254772 DOI: 10.4103/jfmpc.jfmpc_1896_21
Source DB: PubMed Journal: J Family Med Prim Care ISSN: 2249-4863
Figure 1STROBE diagram
Baseline characteristics (n=7661)
| Characteristics | Number (%) |
|---|---|
| Age, mean (SD), years | 35.3 (18.5) |
| Time of Incident | |
| 8 am - 5 pm | 3654 (47.7%) |
| 5 pm - 12 am | 2819 (36.8%) |
| 12 am - 8 am | 1188 (15.5%) |
| Sex ratio | |
| Male | 5884 (76.8%) |
| Female | 1777 (23.2%) |
| Age group | |
| Pediatric and adolescent trauma (≤18 years) | 1284 (16.7%) |
| Adult trauma (18-59 years) | 5472 (71.5%) |
| Geriatric trauma (≥60 years) | 905 (11.8%) |
Figure 2Modes of injury
Figure 3Month-wise distribution of trauma
Bivariate and multivariate logistic regression analysis for factors associated with in-hospital mortality among triage priority I and II trauma patients
| Variables | Died in hospital ( | Discharged alive ( |
| Unadjusted odds ratio |
| Adjusted odds ratio |
|---|---|---|---|---|---|---|
| Male | 48 (81.4%) | 4086 (78.0%) | 0.53 | 1.23 (0.64-2.38) | - | - |
| Age ≤18 years | 1 (1.7%) | 771 (14.7%) | 0.005 | 0.10 (0.01-0.72) | 0.005 | 0.06 (0.01-0.42) |
| Age >60 years | 12 (20.3%) | 665 (12.7%) | 0.08 | 1.76 (0.93-3.33) | - | - |
| GCS! ≤8 | 37 (62.7%) | 340 (6.5%) | 0.000 | 24.24 (14.14-41.56) | <0.05 | 3.92 (1.99-7.74) |
| SBP# <90 mm Hg | 47 (79.7%) | 501 (9.6%) | 0.000 | 37.06 (19.53-70.32) | <0.05 | 26.88 (12.26-58.95) |
| RTA$ vs Others | 52 (88.1%) | 3709 (70.8%) | 0.003 | 3.07 (1.39-6.77) | 0.23 | 1.68 (0.72-3.88) |
| Pedestrian | 10 (16.9%) | 362 (6.9%) | 0.003 | 2.75 (1.38-5.48) | 0.02 | 2.48 (1.14-5.42) |
| Two-wheeler | 29 (49.2%) | 2814 (53.7%) | 0.48 | 0.83 (0.50-1.39) | - | - |
| Four-wheeler | 5 (8.5%) | 265 (5.1%) | 0.23 | 1.74 (0.69-4.38) | - | - |
| Weekend (Saturday, Sunday) | 16 (0.6%) | 2465 (99.4%) | 0.38 | 0.78 (0.44-1.38) | - | - |
| 12 AM - 8 AM | 9 (0.7%) | 1260 (99.3%) | 0.78 | 0.91 (0.44-1.85) | - | - |
GCS!: Glasgow Coma Scale; SBP#: Systolic blood pressure; RTA$: Road traffic accident
Figure 4ED and hospital outcome