Table 4. Multivariable logistic regression analysis for outcomes by arrest time.
Outcomes | Total | Positive | Model 1 | Model 2 | ||||||
---|---|---|---|---|---|---|---|---|---|---|
Survival | N | N | % | AOR | 95% CI | AOR | 95% CI | |||
Total | 73057 | 5010 | 6.9 | |||||||
Nighttime | 26225 | 2024 | 7.7 | 1.00 | 1.00 | |||||
Daytime | 46832 | 2986 | 6.4 | 0.92 | 0.86 | 0.97 | 0.85 | 0.80 | 0.91 | |
Good CPC | ||||||||||
Total | 73057 | 3099 | 4.2 | |||||||
Nighttime | 26225 | 1273 | 4.9 | 1.00 | 1.00 | |||||
Daytime | 46832 | 1826 | 3.9 | 0.92 | 0.85 | 0.99 | 0.84 | 0.77 | 0.91 |
CPC, cerebral performance category; AOR, adjusted odds ratio; 95% CI, 95% confidence interval
Model 1: adjusted for gender, age and daytime
Model 2: adjusted for gender, age, daytime, year, season, weekend, place-provider matrix group, metropolis, and witness