| Literature DB >> 33747495 |
S Makhadi1, M S Moeng1,2, R Pswarayi1.
Abstract
BACKGROUND: In the twenty-first century, transportation disasters and subsequent injuries are on the rise, in particular air travel, and, thus, contributing significantly to the morbidity and mortality. Aviation injuries are not common in South Africa, injuries and outcomes of patients involved in aircraft crashes are unknown. We aimed to describe the injury patterns, and mortality rate resulting from air crashes presenting at a level 1 trauma centre in Johannesburg, South Africa.Entities:
Year: 2021 PMID: 33747495 PMCID: PMC7970024 DOI: 10.1016/j.amsu.2021.102194
Source DB: PubMed Journal: Ann Med Surg (Lond) ISSN: 2049-0801
Baseline characteristics by mortality.
| Variable | Overall n (%) | Dead n (%) | Alive n (%) |
|---|---|---|---|
| Sex | |||
| Male | 44 (84.62) | 4 (100.0) | 40 (83.33) |
| Female | 8 (15.38) | 0 (0.0) | 8 (16.67) |
| Ethnicity | |||
| Indian | 1 (1.92) | 0 (0.0) | 1 (2.08) |
| Caucasian | 36 (69.23) | 4 (100.0) | 32 (66.67) |
| Black | 15 (28.85) | 0 (0.0) | 15 (31.25) |
| Age in years mean | 44.87 | 42.75 | 45.04 |
| Systolic Blood | 124.79 | 149.50 | 122.73 |
| Pulse mean | 97.46 | 108.75 | 96.52 |
| Revised Trauma | 7.8 (4.10, 7.80) | 4.1 (4.10, 4.10) | 7.8 (7.00, 7.80) |
| Injury Severity | 9 (4.0, 22.0) | 31.5 (17.0, 54.5) | 9 (4.00, 18.00) |
| New Injury | 11 (4.0, 25.50) | 33.5 (20.5, 56.5) | 9 (4.00, 22.00) |
| Surgical Procedure | |||
| None | 20 (38.46) | 2 (50.0) | 18 (37.50) |
| Sloughectomy | 2 (3.85) | 0 (0.0) | 2 (4.17) |
| ORIF | 28 (53.85) | 1 (25.0) | 27 (56.25) |
| Spinal OP | 2 (3.85) | 1 (25.0) | 1 (2.08) |
| Type of Aircraft | |||
| Fixed wing | 33 (67.35) | 4 (100.0) | 29 (64.44) |
| Helicopter | 12 (24.49) | 0 (0.0) | 12 (26.67) |
| Microlite | 4 (8.16) | 0 (0.0) | 4 (8.89) |
Graph 1Aircraft injuries.
Admission summary.
| Days in intensive care unit (days) 5,6 ± 15 |
|---|
| Hospital length of stay (days) 10 ± 22 |
| Discharge destination |
| Home 45 |
| Rehab 3 |
| Death 4 |
| Breakdown of Deaths |
Factors associated with ISS>15.
| Variable | ISS | ISS < 16 n (%) | p-value |
|---|---|---|---|
| Sex | |||
| Male | 18 (94.74) | 26 (78.79) | 0.23 |
| Female | 1 (5.26) | 7 (21.21) | |
| Ethnicity | |||
| Indian | 0 (0.00) | 1 (3.03) | 0.59 |
| Caucasian | 15 (78.95) | 21 (63.64) | |
| Black | 4 (21.05) | 11 (33.33) | |
| Age in years mean | 46.74 | 43.79 | 0.43 |
| Systolic Blood | 126 (120, 139) | 124 (92, 133) | 0.071 |
| Pulse mean | 103.79 | 93.82 | 0.050 |
| Revised Trauma | 4.1 (4.1, 7.8) | 7.8 (7.8, 7.8) | <0.001 |
| Surgical Procedure | |||
| None | 2 (10.53) | 18 (54.55) | 0.002 |
| Sloughectomy | 1 (5.26) | 1 (3.03) | |
| ORIF | 16 (76,19) | 14 (42.42) | |
| Spinal OP | 2 (10.53) | 0 (0.00) | |
| Type of Aircraft | |||
| Fixed wing | 10 (58.82) | 23 (71.88) | 0.559 |
| Helicopter | 5 (29.41) | 7 (21.88) | |
| Microlite | 2 (11.76) | 2 (6.25) | |
| Mortality | |||
| Alive | 16 (84.21) | 32 (96.97) | 0.132 |
| Dead | 3 (15.79) | 1 (3.03) |
The relationship between type of aircraft and outcomes.
| Variable | Fixed Wing n (%) | Helicopter n (%) | Microlite n (%) | p-value |
|---|---|---|---|---|
| Systolic Blood | 128.52 | 123.33 | 109 | 0.24 |
| Pulse mean | 98.55 | 96.25 | 92.25 23.26 | 0.76 |
| Revised Trauma | 7.8 (4.1, 7.8) | 7.8 (7.8, 7.8) | 7 (5.15, 7.8) | 0.44 |
| Injury Severity | 9 (4, 17) | 9.5 (4, 23) | 13 (4, 24.5) | 0.92 |
| New Injury | 9 (4, 22) | 11 (4, 23) | 15.5 (4, 27) | 0.99 |
| Surgical Procedure | ||||
| None | 13 (39.39) | 5 (41.67) | 1 (25.00) | 0.97 |
| Sloughectomy | 2 (6.06) | 0 (0.00) | 0 (0.00) | |
| ORIF | 17 (51.52) | 7 (58.33) | 3 (75.00) | |
| Spinal OP | 2 (6.06) | 0 (0.00) | 0 (0.00) | |
| Mortality | ||||
| Alive | 29 (87.88) | 12 (100.00) | 4 (100.00) | 0.69 |
| Dead | 4 (12.12) | 0 (0.00) | 0 (0.00) |