Table 7 Predictive models for SH and MT using a multivariate logistic regression
From: A joint latent class model for classifying severely hemorrhaging trauma patients
SH | MT | |||||||
|---|---|---|---|---|---|---|---|---|
Est. | SE | Wald | p value | Est. | SE | Wald | p value | |
(Intercept) | −0.5224 | 0.4348 | −1.20 | 0.2296 | 0.0280 | 0.3910 | 0.07 | 0.9429 |
SBP <90 | 0.3010 | 0.3422 | 0.88 | 0.3790 | 0.3286 | 0.2895 | 1.14 | 0.2564 |
HR ≥120 | 0.6628 | 0.3195 | 2.07 | 0.0381 | 0.8856 | 0.2729 | 3.25 | 0.0012 |
Hgb <9.0 | 0.9256 | 0.4316 | 2.14 | 0.0320 | 0.9077 | 0.4611 | 1.97 | 0.0490 |
INR ≥1.5 | 1.6726 | 0.3301 | 5.07 | 0.0000 | 1.1429 | 0.3171 | 3.60 | 0.0003 |
Temp <35.5 | 0.1057 | 0.3597 | 0.29 | 0.7689 | 0.2092 | 0.2809 | 0.74 | 0.4564 |
BD <6 | −0.1648 | 0.3697 | −0.45 | 0.6558 | 0.0126 | 0.2904 | 0.04 | 0.9653 |