Analysis of diagnosis and prognosis values of novel coagulation and fibrinolysis markers in sepsis coagulation disease
10.3969/j.issn.1671-8348.2024.15.014
- VernacularTitle:新型凝血、纤溶标志物对脓毒症性凝血病的诊断及预后价值分析
- Author:
Qingfeng LIU
1
;
Yu WU
;
Qi YAN
Author Information
1. 广州市红十字会医院检验科,广州 510220
- Keywords:
novel coagulation;
fibrinolytic markers;
sepsis;
diagnosis;
prognosis
- From:
Chongqing Medicine
2024;53(15):2324-2329
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the value of novel coagulation and fibrinolysis markers in the diag-nosis and prognosis of septic coagulation disease (SIC).Methods A total of 153 patients with sepsis admitted and treated in this hospital from July 2022 to March 2023 were retrospectively analyzed.According to the SIC diagnostic criteria issued by the International Society of Thrombosis and Hemostasis (ISTH) in 2017,the pa-tients were divided into the SIC group (n=55) and the general sepsis group (the SA group,n=98).The basic data and follow up situation of the patients were collected.The multivariate logistic regression was adopted to analyze the influencing factors of SIC occurrence in the patients with sepsis.The receiver operating character-istic (ROC) curve was used to analyze the predictive efficiency of the related indicators for the SIC occurrence in the patients with sepsis.The included 66 patients with sepsis from April to July 2023conducted the verifica-tion.The Kaplan-Meier survival curve was used to analyze the survival situation of the patients.Results The acute physiological and chronic health status scoring system (APACHEⅡ) score,assessment of sequential or-gan failure (SOFA) score,prothrombin time (PT),PLT,D-dimer (D-D),thrombin antithrombin complex-Ⅲ (AT-Ⅲ),tissue plasminogen activator-plasminogen activator inhibitor-1 complex (t-PAIC),thrombomodulin (TM) had statistical differences between the two groups (P<0.05).The multivariate logistic regression anal-ysis showed that PT,PLT,D-D,t-PAIC and TM were the independent influencing factors for the SIC occur-rence in the patients with sepsis (P<0.05).The combined detection of PT,PLT,D-D,t-PAIC and TM could increase the predictive efficiency[area under the curve (AUC)=0.914].This model had good fitting goodness (x2=12.593,P=0.127);the verification group showed that it had good predictive efficiency (AUC=0.888),and this model had good fitting goodness (x2=7.996,P=0.333).The median overall survival time in the t-PAIC<19.27 μg/mL group was longer than that in the t-PAIC≥19.27 μg/mL group,which in the TM<16.11 TU/mL group was longer than that in the TM≥16.11 TU/mL group (P<0.05).Conclusion The model con-structed based on the influencing factors has good predictive efficiency for the SIC occurrence in the patients with sepsis.t-PAIC and TM have high value for the prognosis judgment in the patients with sepsis.
