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Chinese Journal of Emergency Medicine ; (12): 781-786, 2023.
Article in Chinese | WPRIM | ID: wpr-989844

ABSTRACT

Objective:To evaluate the prognostic value of sepsis-induced coagulopathy (SIC) in patients with sepsis.Methods:From January 2019 to December 2021, patients with sepsis admitted to the Intensive Care Unit of our hospital were retrospectively classified into the SIC group and non-SIC group according to SIC diagnostic criteria. The baseline clinical data, severity score, total length of hospital stay, length of ICU stay and 28-day survival were compared between the two groups. Kaplan-Meier was used to compare the 28-day survival of patients with sepsis between the two groups. Cox proportional hazard regression model was employed to analyze the risk factors of prognosis in patients with sepsis.Results:Totally 274 patients with sepsis were included in the analysis, including 139 patients in the SIC group and 135 patients in the non-SIC group. The two groups were compared in the perspectives of the Platelet count (PLT), prothrombin time (PT) , procalcitonin (PCT), D dimer, hematocrit, red blood cell distribution width, hemoglobin, acute kidney injury (AKI), the use of continuous renal replacement treatment (CRRT), the use of vasoactive drugs, sequential organ failure assessment (SOFA) score, acute physiology and chronic health evaluation (APACHEⅡ) score were compared between the two groups and the difference were statistically different (all P<0.05). Kaplan-Meier analysis showed that the 28-day mortality rate in the SIC group was significantly higher than that in the non-SIC group (32.4% vs. 14.1%, P<0.05). COX proportional hazard model showed that SIC score ( HR= 2.17, 95% CI: 1.15-3.91, P<0.05), APACHEⅡ score ( HR= 1.13, 95% CI: 1.09-1.17, P<0.05) and the use of vasoactive drugs ( HR=3.66, 95% CI: 1.53-8.75, P<0.05) were independent influencing factors for 28-day death in patients with sepsis. Conclusions:Patients with sepsis and SIC have more severe disease and increased mortality risk. SIC score exhibits good clinical value in predicting the prognosis of patients with sepsis.

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