%0 Journal Article %T A New Prediction System of Sepsis: A Retrospective, Clinical Study %A Enhe Liu %A Zhinan Zheng %A Qiuye Kou %J Modern Research in Inflammation %P 63-76 %@ 2169-9690 %D 2016 %I Scientific Research Publishing %R 10.4236/mri.2016.54007 %X 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 ¡Á Lac(mmol/l) + 0.099 ¡Á PCT(ng/mL) + 0.012 ¡Á