Combining Blood-Based Biomarkers to Predict Mortality of Sepsis at Arrival at the Emergency Department

Yinjing Xie; Binbin Li; Ying Lin; Fei Shi; Weibu Chen; Wenyuan Wu; Wenjia Zhang; Yun Fei; Shiqing Zou; Can Yao

doi:10.12659/MSM.929527

25 February 2021 : Database Analysis

Combining Blood-Based Biomarkers to Predict Mortality of Sepsis at Arrival at the Emergency Department

Yinjing Xie^1CE, Binbin Li^2BC, Ying Lin^1BD, Fei Shi^2AG*, Weibu Chen^1AF, Wenyuan Wu^1F, Wenjia Zhang^1B, Yun Fei^1D, Shiqing Zou^1D, Can Yao^2C

DOI: 10.12659/MSM.929527

Med Sci Monit 2021; 27:e929527

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Table 3 The logistic regression analysis of blood-based biomarkers for predicting 28-day mortality in patients with sepsis or septic shock.

Variables	Multivariable analysis
Variables	OR	95%CI	P value
NWR	0.009	0.000–1.052	0.052^*
IL-6	1.000	1.000–1.001	0.009^*
PCT	0.981	0.965–0.997	0.019^*
Lactate	1.309	1.038–1.651	0.023^*
^* Indicates a significant value, CI – confidence interval; IL-6 – interleukin-6; NWR – neutrophil-to-WBC ratio; OR – odds ratio; PCT – procalcitonin; WBC – white blood cell.

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Combining Blood-Based Biomarkers to Predict Mortality of Sepsis at Arrival at the Emergency Department

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