| Literature DB >> 29419523 |
Nawfal Aljerian, Saleh Alhaidar, Ali Alothman, Wijdan AlJohi, Faisal Abdullah Albaqami, Suliman Abdullah Alghnam1.
Abstract
BACKGROUND: In Saudi Arabia, injury is the leading cause of death. Even if nonfatal, the impact of injuries on population health is enormous, as thousands of young patients suffer permanent disabilities every year. Unlike in developed countries, private transportation (PT) is a common means to transport trauma patients. Outcome differences between patients transported via PT relative to emergency medical services (EMS) has not been previously explored.Entities:
Mesh:
Year: 2018 PMID: 29419523 PMCID: PMC6074188 DOI: 10.5144/0256-4947.2018.8
Source DB: PubMed Journal: Ann Saudi Med ISSN: 0256-4947 Impact factor: 1.526
Descriptive characteristics by complication status.
| Variable | Categories | Frequency | Complication | No complication | |
|---|---|---|---|---|---|
|
| |||||
| Age category | 14–25 | 181 (36.7) | 25 (25.8) | 156 (39.4) | .015 |
| 26–45 | 159 (32.2) | 35 (36.1) | 124 (31.3) | ||
| 46–64 | 70 (14.2) | 12 (12.4) | 58 (14.7) | ||
| ≥65 | 83 (16.8) | 25 (25.8) | 58 (14.7) | ||
| Age | 44.7 (23.4) | 37.16 (20.5) | >.001 | ||
| Gender | Male | 383 (77.7) | 77 (79.4) | 306 (77.3) | .655 |
| Female | 110 (22.3) | 20 (20.6) | 90 (22.7) | ||
| Mode of transportation | Ambulance | 221 (44.9) | 69 (71.1) | 152 (38.5) | >.001 |
| Private transport | 271 (55.1) | 28 (28.9) | 243 (61.5) | ||
| Death | Survived | 469 (95.1) | 79 (81.4) | 390 (98.5) | >.001 |
| Died | 24 (4.9) | 18 (18.6) | 6 (1.5) | ||
| Surgery | Yes | 59 (11.9) | 23 (23.7) | 36 (9.1) | >.001 |
| No | 434 (88) | 74 (76.3) | 360 (90.9) | ||
| Hypotension | Yes | 27 (5.48) | 13 (13.4) | 14 (3.5) | >.001 |
| No | 466 (94.5) | 84 (86.6) | 382 (96.5) | ||
| Death on arrival | Yes | 6 (1.22) | 3 (3.09) | 3 (0.8) | .06 |
| No | 487 (98.7) | 94 (96.9) | 393 (99.2) | ||
| Motor vehicle collision | Yes | 245 (49.7) | 45 (46.4) | 200 (50.5) | .468 |
| Other | 248 (50.3) | 52 (53.6) | 196 (49.5) | ||
| Total | 97 | 396 | |||
| Injury severity score | 18.65 (16.5) | 8.51 (8.1) | >.0001 | ||
| Glasgow Coma Scale | 11.18 (5.1) | 14.29 (2.3) | >.0001 | ||
| Hospital length of stay | 27.04 (29.9) | 10.46 (12.1) | >.0001 | ||
Data are mean (standard deviation) or number (percentage).
Regression analysis of the association between transport mode and in-hospital complications as the dependent variable.
| Variables | Second Model | Third Model | ||
|---|---|---|---|---|
| OR | 95% CI | OR | 95% CI | |
|
| ||||
| Private transportation | 0.45 | 0.22–0.94 | 0.55 | 0.25–1.17 |
| Age | 1.03 | 1.01–1.04 | 1.03 | 1.02–1.05 |
| Gender | 0.96 | 0.47–1.95 | 0.88 | 0.43–1.81 |
| Injury severity score | 1.11 | 1.05–1.16 | 1.06 | 0.99–1.13 |
| Revised trauma score | 0.62 | 0.25–1.54 | 0.60 | 0.24–1.46 |
| Glasgow Coma Scale | 1.005 | 0.75–1.33 | 1.06 | 0.80–1.41 |
| Surgery | 2.32 | 1.02–5.27 | 1.99 | 0.85–4.63 |
| Hypotension | 2.22 | 0.72–6.86 | 2.99 | 0.92–9.73 |
| Motor vehicle collision | 2.47 | 1.18–5.18 | 4.45 | 1.62–12.2 |
| Propensity score | 0.10 | 0.00–1.30 | ||
Medical in-hospital complication by type of transport.
| Complication | Emergency medical service n (%) | Private transport n (%) | |
|---|---|---|---|
|
| |||
| Stroke | 5 (71.4) | 2 (28.6) | .156 |
| Sepsis | 19 (76.0) | 6 (24.0) | .001 |
| Myocardial infarction | 2 (66.7) | 1 (33.3) | .447 |
| Pulmonary embolism | 10 (66.7) | 5 (33.3) | .085 |
| Pneumonia | 29 (76.3) | 9 (23.7) | <.001 |
| Renal failure | 18 (69.2) | 8 (30.8) | <.01 |
| Acute respiratory distress syndrome | 14 (77.8) | 4 (22.2) | .004 |
| Cardiac arrest | 16 (80.0) | 4 (20.0) | <.001 |
Data are numbers (percentage).