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. 2021 Jul 13;9:704294. doi: 10.3389/fpubh.2021.704294

Table 4.

Causes (significant predictors) of death or ICU admission or botha.

Causesb, n (%) Death or ICU admission or bothc stratified by year of ED admission
2018 2019 2020
n = 123 OR (95% CI)d n = 127 OR (95% CI)d n = 34 OR (95% CI)d
MVCe 23 (18.7) 4.18 (1.06–16.47) 31 (24.4) 1.83 (0.62–5.36) 5 (14.7) 2.14 (0.38–12.11)
MBCf 22 (17.9) 9.01 (2.18–37.22) 12 (9.4) 2.65 (0.78–9.01) 2 (5.9) 1.98 (0.24–16.3)
PIg 17 (13.8) 11.85 (2.69–52.17) 11 (8.7) 4.13 (1.18–14.51) 3 (8.8) 7.81 (0.95–64.12)
Fall 18 (14.6) 1.59 (0.40–6.31) 29 (22.8) 1.51 (0.52–4.38) 7 (20.6) 2.41 (0.45–12.96)
Assault 9 (7.3) 3.86 (1.04–14.32) 5 (3.9) 0.94 (0.25–3.62) 6 (17.6) 4.47 (0.88–22.76)
Burn 14 (11.4) 9.17 (2.47–30.04) 15 (11.8) 9.67 (3.08–30.31) 1 (2.9) 10.47 (0.58–188.12)
Poisoning 3 (2.4) 2.82 (0.46–17.31) 6 (4.7) 13.84 (3.07–62.37) 2 (5.9) 5.85 (0.8–42.89)
Others 17 (13.8) 3.71 (0.95–14.46) 18 (14.2) 1.65 (0.53–5.13) 8 (23.5) 4.16 (0.78–22.14)
a

All models in this table were run separately for each year (i.e., data were stratified by the year of ED admission) to investigate the influence of each cause in predicting death or ICU admission or both during the lockdown period in 2020 compared with the similar periods of 2018 and 2019.

b

Independent Variables (IVs).

c

Dependent Variable (DV).

d

Derived from multivariable binary logistic regression adjusting for age, gender and prehospital transportation.

e

MVC, Motor-vehicle crashes.

f

MBC, Motorcycle and bicycle crashes.

g

PI, Pedestrian Injuries.