Final multivariable stepwise logistic regression model using multiple imputation for missing information for factors associated with early neuroimaging
CT within 6 hours of headache onset | CT within 2 hours of hospital arrival | |||
---|---|---|---|---|
Factors | OR (95% CI) | p Value | OR (95% CI) | p Value |
SAH | 1.68 (1.04 to 2.71) | 0.033 | 1.42 (1.07 to 1.88) | 0.014 |
Onset during exertion | 2.14 (1.35 to 3.39) | 0.001 | 1.52 (1.21 to 1.92) | <0.001 |
Transfer from another hospital | 0.40 (0.26 to 0.59) | <0.001 | 4.72 (3.61 to 6.17) | <0.001 |
Triage acuity | ||||
High acuity vs low acuity | 3.11 (1.94 to 4.98) | <0.001 | 2.76 (2.07 to 3.68) | <0.001 |
Medium acuity vs low acuity | 1.76 (1.39 to 2.23) | <0.001 | 1.66 (1.44 to 1.92) | <0.001 |
Arrival by ambulance | 1.39 (1.02 to 1.88) | 0.032 | ||
Worst headache of life | 1.33 (1.07 to 1.65) | 0.009 | ||
Prehospital delay (vs time >46, hours) | ||||
time ≤3 | 1.90 (1.55 to 2.33) | <0.001 | ||
3< time ≤9 | 1.53 (1.34 to 1.76) | <0.001 | ||
9< time ≤46 | 1.23 (1.16 to 1.33) | <0.001 |
Blank cells correspond to that factor having been removed from the model during stepwise selection due to p>0.05.
SAH, subarachnoid haemorrhage.