Objective: Analyzing 6 biomarkers, such as procalcitonin
(PCT), C-reactive protein (CRP), fibrinogen (Fib), lactate concentration (Lac),
D-dimer (D-d), neutrophil ratio (NEUT%) to figure out several sensitive
indicators and establish a new prediction system of sepsis, which could achieve
a higher sensitivity and specificity to predict sepsis. Methods: We collected 113 SIRS patients in ICU. According to
their prognosis, all the patients were divided into two groups named sepsis and
non-sepsis group according to the diagnostic criteria of sepsis. We recorded
the general information and detected the plasma levels of the 6 biomarkers. Results: The plasma levels of NEUT% and Fib between the two
groups had no significant difference. PCT had the highest prediction accuracy of
sepsis compared with other biomarkers. A predictive model was established, in
which Lac, PCT, CRP were enrolled. The final prediction model was: logit(P)=0.314+0.105×Lac(mmol/l)+ 0.099×PCT(ng/mL)+0.012×
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