Establishment of Logistic Regression Model Based on Clinical Features,REDS Score,Inflammatory Markers and Predictive Value of Combined Factors for Sepsis Prognosis
Objective To analyze the factors affecting the poor prognosis of sepsis,establish a logistic regression model based on clinical features,risk-stratifcation of emergency department suspected sepsis(REDS)score and inflammatory markers of suspected sepsis in emergency department,and verify its predictive efficacy.Methods A total of 80 patients with sepsis admitted to the First Affiliated Hospital of Zhengzhou University from January 2021 to January 2023 were selected as the study objects.According to the clinical outcome 28 days after admission,the patients were divided into good prognosis group and poor prognosis group.Clinical data,REDS scores and levels of inflammatory markers[C-reactive protein(CRP),procalcitonin(PCT),heparin binding protein(HBP)]were compared between the two groups.Multivariate logistic regression analysis of adverse prognostic factors,logistic regression model,including model 1(containing clinical features,REDS score),model 2(containing REDS score,inflammatory markers),combined model(containing clinical features,REDS score,inflammatory markers).The prognostic value of different logistic regression models were evaluated.Results The proportion of vasoactive drug use and assisted ventilation in the poor prognosis group was higher than that in the good prognosis group.The sequential organ faliure assessment(SOFA)score at admission,acute physiology and chronic health evaluation Ⅱ(APACHE Ⅱ)score at admission,REDS score and D-dimer,CRP,PCT and HBP levels in the poor prognosis group were higher than those in the good prognosis group(P＜0.05).The use of vasoactive drugs,SOFA score on admission,APACHE Ⅱ score on admission,REDS score and D-dimer,CRP,PCT and HBP levels increased were independent risk factors for poor prognosis(P＜0.05).CRP,PCT and HBP were positively correlated with SOFA score,APACHE Ⅱ score,REDS score and D-dimer(P＜0.05).The area under the curve of combined model for predicting poor prognosis was higher than that of model 1 and model 2,respectively(P＜0.05).Conclusion A logistic regression model is established based on clinical features,REDS score and serum CRP,PCT and HBP levels,which has certain predictive value for poor prognosis of sepsis.
sepsisrisk stratification score for suspected sepsis in emergency departmentC-reactive proteinprocalcitoninheparin-binding protein
万方数据
维普
