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. 2019 Mar 28;6(1):70–76. doi: 10.15441/ceem.17.293

Table 4.

Univariate logistic regression analysis to predict in-hospital mortality

Predictor OR (95% CI)
Modified ‘surprise question’ response (reference = ‘yes’) 0.367 (0.260–0.517)
Age category (yr, reference: 18–29)
 30–39 0.931 (0.130–6.643)
 40–49 3.743 (0.833–16.814)
 50–59 3.853 (0.893–16.623)
 60–69 4.900 (1.162–20.667)
 70–79 5.355 (1.281–22.394)
 80–89 7.376 (1.774–30.667)
 ≥ 90 11.183 (2.595–48.200)
Sex (reference: male) 1.195 (0.868–1.644)
Race (reference: White) 0.281 (0.069–1.141)
Ethnicity (reference: non-Hispanic) 0.892 (0.122–6.516)
Payor type (reference: private)
 Public 1.806 (1.171–2.784)
 Self-pay 0.819 (0.311–2.154)
ED length of stay 0.998 (0.997–0.999)
Hospital length of stay 1.033 (1.017–1.050)
Intensive care use (reference: no) 83.791 (57.285–122.562)
Comfort measures order set use (reference: no) 85.758 (55.715–132.001)
Palliative care consult order (reference: no) 8.476 (5.782–12.424)

OR, odds ratio; CI, confidence interval; ED, emergency department.