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. 2011 Sep 20;15(5):R220. doi: 10.1186/cc10457

Table 3.

Univariate and multivariate logistic regression analysis used to differentiate survivors and non-survivors

Univariate (n = 66) Multivariate (n = 66)
OR 95% CI P value OR 95% CI P value
Gender Male 1.00 - -
Female 5.22 1.25-21.82 0.023 8.19a 0.75-89.05 0.084
4.56b 0.65-31.81 0.126
5.47c 1.15-25.99 0.033
Age, years ≤62 1.00 - -
> 62 2.51 0.59-10.69 0.214
APACHE II
score
≤18 1.00 - -
> 18 2.53 0.63-9.89 0.192
SOFA score ≤7 1.00 - -
> 7 2.02 0.48-8.63 0.341
ΔmHLA-DR3 > 4.8 1.00 - - -
≤4.8 75.00 8.04-699.44 < 0.001 94.71a 7.64-1174.27 < 0.001
ΔmHLA-DR7 > 9 1.00 - -
≤9 54.00 5.99-486.08 < 0.001 51.04b 5.35-486.94 < 0.001
ΔmHLA-DR7-3 > 3.5 1.00
≤3.5 7.20 1.39-37.23 0.019 7.46c 1.34-41.39 0.022

aΔmHLA-DR3, bΔmHLA-DR7, and cΔmHLA-DR7-3 were entered into multivariate logistic regression model separately with adjustment of gender. ΔmHLA-DR3 and ΔmHLA-DR7 were defined as the value change in mHLA-DR on days 3 and 7 compared with that on day 0, and ΔmHLA-DR7-3 was defined as the value change in mHLA-DR on day 7 compared with that on day 3. APACHE II, Acute Physiology and Chronic Health Evaluation II; CI, confidence interval; OR, odds ratio; SOFA, Sequential Organ Failure Assessment.