Table 3

Logistic regression model for 30 day mortality. Data are No. (%) or odds ratio (95% confidence interval)

Dependent: 30 day mortalitySurvivedDiedOdds ratio (univariable)Odds ratio (multivariable)Odds ratio (multiple imputation)
Multimorbidity:
 No multimorbidity402 804 (98.8)4969 (1.2)
 Multimorbidity39 957 (91.8)3547 (8.2)7.20 (6.88 to 7.52, P<0.001)1.81 (1.72 to 1.91, P<0.001)1.78 (1.69 to 1.87, P<0.001)
 Age, mean (SD)47.2 (20.6)75.0 (14.3)1.07 (1.07 to 1.08, P<0.001)1.06 (1.06 to 1.06, P<0.001)1.06 (1.06 to 1.06, P<0.001)
 Sex
 Female221 780 (98.2)4113 (1.8)
 Male220 981 (98.0)4403 (2.0)1.07 (1.03 to 1.12, P=0.001)1.23 (1.17 to 1.29, P<0.001)1.23 (1.18 to 1.29, P<0.001)
Ethnic group
 White344 662 (98.1)6825 (1.9)
 Asian8686 (99.4)53 (0.6)0.31 (0.23 to 0.40, P<0.001)0.74 (0.55 to 0.97, P=0.037)0.72 (0.52 to 1.01, P=0.055)
 African/black2880 (99.7)10 (0.3)0.18 (0.09 to 0.31, P<0.001)0.63 (0.31 to 1.13, P=0.158)0.46 (0.24 to 0.87, P=0.017)
 Other/multiple groups14 478 (99.7)40 (0.3)0.14 (0.10 to 0.19, P<0.001)0.50 (0.35 to 0.67, P<0.001)0.51 (0.28 to 0.93, P=0.029)
 Refused/unknown/missing72 055 (97.8)1588 (2.2)1.11 (1.05 to 1.18, P<0.001)1.37 (1.29 to 1.46, P<0.001)
Scottish index of multiple deprivation:
 5 (least deprived)112 013 (98.1)2120 (1.9)
 481 184 (98.3)1409 (1.7)0.92 (0.86 to 0.98, P=0.012)1.17 (1.09 to 1.26, P<0.001)1.17 (1.09 to 1.26, P<0.001)
 379 376 (98.1)1565 (1.9)1.04 (0.98 to 1.11, P=0.224)1.35 (1.25 to 1.44, P<0.001)1.34 (1.25 to 1.44, P<0.001)
 299 599 (97.9)2132 (2.1)1.13 (1.06 to 1.20, P<0.001)1.39 (1.30 to 1.48, P<0.001)1.37 (1.29 to 1.47, P<0.001)
 1 (most deprived)62 131 (98.0)1239 (2.0)1.05 (0.98 to 1.13, P=0.148)1.50 (1.39 to1.62, P<0.001)1.49 (1.38 to 1.61, P<0.001)
 Scottish index of multiple deprivation unknown8458 (99.4)51 (0.6)0.32 (0.24 to0.42, P<0.001)0.83 (0.62 to 1.10, P=0.211)
Triage category:
 Medical expected8257 (96.9)265 (3.1)
 See and treat67 148 (100.0)9 (0.0)0.00 (0.00 to 0.01, P<0.001)0.01 (0.01 to 0.02, P<0.001)0.01 (0.01 to 0.02, P<0.001)
 Standard or non-urgent129 157 (99.9)163 (0.1)0.04 (0.03 to 0.05, P<0.001)0.08 (0.06 to 0.09, P<0.001)0.08 (0.06 to 0.09, P<0.001)
 Urgent163 039 (98.7)2091 (1.3)0.40 (0.35 to 0.46, P<0.001)0.49 (0.43 to 0.56, P<0.001)0.48 (0.42 to 0.55, P<0.001)
 Very urgent or immediate61 699 (91.2)5940 (8.8)3.00 (2.65 to 3.41, P<0.001)2.51 (2.20 to 2.87, P<0.001)2.47 (2.17 to 2.82, P<0.001)
 Other or unknown13 475 (99.6)48 (0.4)0.11 (0.08 to 0.15, P<0.001)0.30 (0.21 to 0.40, P<0.001)
Prior emergency department attendances:
 No presentation365 110 (98.3)6273 (1.7)
One presentation54 922 (97.4)1440 (2.6)1.53 (1.44 to 1.62, P<0.001)0.99 (0.93 to 1.06, P=0.808)0.98 (0.92 to 1.04, P=0.439)
Two presentations22 729 (96.6)803 (3.4)2.06 (1.91 to 2.21, P<0.001)0.98 (0.90 to 1.07, P=0.666)0.95 (0.88 to 1.04, P=0.256)
 Time of day:
 0600-1159112 192 (98.1)2170 (1.9)
 1200-1759159 166 (98.2)2987 (1.8)0.97 (0.92 to 1.03, P=0.289)0.94 (0.89 to 1.00, P=0.045)0.94 (0.89 to 1.00, P=0.045)
 1800-2359122 051 (98.2)2260 (1.8)0.96 (0.90 to 1.02, P=0.151)0.91 (0.85 to 0.97, P=0.003)0.91 (0.85 to 0.97, P=0.003)
 0000-055949 348 (97.8)1099 (2.2)1.15 (1.07 to 1.24, P<0.001)0.96 (0.89 to 1.04, P=0.300)0.96 (0.89 to 1.04, P=0.288)
Month:
 January to March106 454 (97.9)2326 (2.1)
 April to June110 460 (98.2)2022 (1.8)0.84 (0.79 to 0.89, P<0.001)0.91 (0.86 to 0.97, P=0.005)0.91 (0.86 to 0.97, P=0.005)
 July to September113 062 (98.3)1922 (1.7)0.78 (0.73 to 0.83, P<0.001)0.88 (0.83 to 0.94, P<0.001)0.88 (0.83 to 0.94, P<0.001)
 October to December112 785 (98.0)2246 (2.0)0.91 (0.86 to 0.97, P=0.002)0.93 (0.87 to 0.99, P=0.024)0.94 (0.88 to 1.00, P=0.038)
Year:
 201251 879 (97.6)1297 (2.4)
 201351 309 (97.8)1165 (2.2)0.91 (0.84 to 0.98, P=0.018)1.01 (0.93 to 1.10, P=0.839)1.02 (0.94 to 1.11, P=0.658)
 201454 160 (98.1)1077 (1.9)0.80 (0.73 to 0.86, P<0.001)0.80 (0.74 to 0.88, P<0.001)0.82 (0.75 to 0.90, P<0.001)
 201552 323 (97.9)1126 (2.1)0.86 (0.79 to 0.93, P<0.001)0.82 (0.75 to 0.89, P<0.001)0.84 (0.77 to 0.91, P<0.001)
 201654 447 (98.0)1095 (2.0)0.80 (0.74 to 0.87, P<0.001)0.78 (0.71 to 0.85, P<0.001)0.80 (0.73 to 0.87, P<0.001)
 201755 770 (98.3)988 (1.7)0.71 (0.65 to 0.77, P<0.001)0.64 (0.58 to 0.70, P<0.001)0.67 (0.61 to 0.73, P<0.001)
 201858 257 (98.4)928 (1.6)0.64 (0.59 to 0.69, P<0.001)0.57 (0.52 to 0.63, P<0.001)0.60 (0.55 to 0.66, P<0.001)
 201964 616 (98.7)840 (1.3)0.52 (0.48 to 0.57, P<0.001)0.47 (0.43 to 0.52, P<0.001)0.50 (0.46 to 0.55, P<0.001)
  • Logistic regression models (univariable and multivariable) using 30 day mortality as the outcome. No. in dataframe=451 291, No. in model=451 273, missing=18, Akaike Information Criterion=59 075·5, C-statistic=0·923, Hosmer-Lemeshow χ2(degrees of freedom 8)=163·87 (P<0·001). In multiple imputation model, 451 291 patients were included· Missing values for sex (n=14 (0·0%)), Scottish index of multiple deprivation (n=8509 (1·9%)), ethnic group (n=73 646 (16·3%)), triage category (n=13 523 (3·0%)), and presentation time (n=4 (0·0%)) have been imputed using a pool of 10 iterations.

  • SD, standard deviation.