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Predictive value of fibrin degradation product and D-dimer in short-term prognosis of septic shock patients |
NIE Zhusheng WANG Wenjing ZHU Min CHENG Chuji▲ |
Department of Critical Care Medicine, Anqing Municipal Hospital, Anhui Province, Anqing 246000, China
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Abstract Objective To investigate the predictive value of fibrin degradation product (FDP) and D-dimer on the short-term prognosis of septic shock patients. Methods A total of 86 patients with septic shock admitted to Anqing Municipal Hospital in Anhui Province from January 2019 to July 2022 were selected as the study subjects, and they were divided into survival group (65 cases) and death group (21 cases) according to their survival conditions 28 days after admission. The clinical data and the differences of serum FDP and D-dimer within 48 h after admission were compared between the two groups, and the influencing factors of prognosis in patients with septic shock were analyzed, and their predictive value for short-term prognosis in patients with septic shock was further analyzed. Results Acute physiology and chronic health evaluationⅡ (APACHEⅡ) score, sepsis-related organ failure assessment (SOFA) score, and levels of FDP, D-dimer in death group were higher than those in survival group, and platelet count was lower than that in survival group (P<0.05). Logistic multivariate analysis results showed that APACHEⅡ score (OR=4.116, 95%CI: 1.393-12.163), SOFA score (OR=4.003, 95%CI: 1.355-11.827), and levels of FDP (OR=4.051, 95%CI: 1.371-11.970) and D-dimer (OR=3.991, 95%CI: 1.351-11.792) were the influential factors for death within 28 days of admission in septic shock patients (P<0.05). The results of receiver operation characteristic curve analysis showed that the area under the curve of FDP and D-dimer combined predicted the short-term prognosis of septic shock patients was higher than that of FDP and D-dimer alone (P<0.05). Conclusion Levels of FDP and D-dimer are associated with the short-term prognosis of patients with septic shock, and could be used to predict the risk of death within 28 days of admission.
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