Table 4 Bivariable and multivariable logistic regression analysis among Burn Victim Children Admitted to South Gondar Zone Government Hospitals, Ethiopia, from 2015 to 2019(n = 3430
Variable and Category | Death | Bi-variable logistic regression analysis | Multi-variable logistic regression analysis | |
|---|---|---|---|---|
Yes n (%) | No n (%) | COR With 95%CI | AOR With 95% CI | |
Medical insurance user | ||||
No | 24(9.9%) | 219(90.1%) | 2.082(0.771–5.621) | 4.3(1.3–13.9)* |
Yes | 5(5%) | 95(95%) | 1 | |
Nutritional status | ||||
Mal-nutrition | 8(23.5%) | 26(76.5%) | 4.220(1.702–10.461) | 3.757(1.136–12.421)* |
Well-nutrition | 21(6.8%) | 288(93.2%) | 1 | |
Comorbid Illness? | ||||
Yes | 5(13.9%) | 31(86.1%) | 1.902(0.677–5.340) | |
No | 24(7.8%) | 283(92.2%) | 1 | |
Clinical condition at admission | ||||
Poor | 10(29.4%) | 24(70.6%) | 6.360(2.660–15.204) | 3.836(1.237–11.896)* |
Good | 19(6.1%) | 290(93.9%) | 1 | |
Duration before arrival | ||||
Late | 11(17.2%) | 53(82.8%) | 3.009(1.344–6.739) | |
Early | 18(6.5%) | 261(93.5%) | 1 | |
Cause of burn | ||||
Chemical | 1(25.0%) | 3(75.0%) | 5.769(0.561–59.367) | |
Electrical | 4(5.5%) | 13(76.5%) | 5.325(1.522–18.632) | 7.620(1.690–33.177)* |
Flame | 11(13.1%) | 73(86.9%) | 2.608(1.120–6.073) | 3.094(1.065–8.986)* |
Scald | 13(23.5%) | 225(94.5%) | 1 | |
The anatomical area of the burn | ||||
Multiple | 9(14.1%) | 55(85.9%) | 2.119(0.916–4.903) | |
Single | 20(7.2%) | 259(92.8%) | 1 | |
Degree Of Burn | ||||
3rdDegree | 10(30.3%) | 23(69.7%) | 5.652(1.409–22.677) | |
2nd Degree | 16(6.0%) | 252(94.0%) | 0.825(0.230–2.964) | |
1st Degree | 3(7.1%) | 39(92.9%) | 1 | |
Total body surface area | ||||
> 20% | 15(23.1%) | 50(76.9%) | 5.657(2.571–12.447) | 4.457(1.455–13.650)* |
< 20% | 14(5.0%) | 264(95.0%) | 1 | |
Wound infection | ||||
Yes | 15(16.5%) | 76(83.5%) | 3.355(1.549–7.267) | |
No | 14(5.6%) | 238(94.4%) | 1 | |