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. 2016 Dec 1;17(6):773–778. doi: 10.1089/sur.2015.238

Table 4.

Multi-Variable Logistic Analysis

Independent variable Odds ratio se z ratio Prob. 95% CI
Antibiotic days (quartiles)            
8–11 d 0.252 0.130 −2.65 0.008 0.091 0.698
12–18 d 0.162 0.090 −3.28 0.001 0.055 0.481
19–185 d 0.313 0.136 −2.68 0.007 0.134 0.732
Site            
A 6.50 3.40 3.58 <0.001 2.33 18.096
B 5.35 2.33 3.84 <0.001 2.27 12.587
APACHE II 1.09 0.020 4.71 <0.001 1.053 1.133
Constant 0.025 0.015 −6.26 <0.001 0.008 0.080

Model χ2 = 48.68.

Pseudo R2 = 0.177.

n = 335.

CI = confidence interval; APACHE = Acute Physiology and Chronic Health Evaluation.

Referents for independent variables were 1–7 days for antibiotics and Site C.

The dependent variable in this model is death resulting from necrotizing soft-tissue infections, coded so that 0 = lived and 1 = died.