Found programs:
Authors:Fan Wenjing; Chen Guimei; Yuan Jun
Keywords:sepsis;septic shock;norepinephrine;influencing factors;ROC curve;prognosis
DOI:10.19405/j.cnki.issn1000-1492.2020.12.026
〔Abstract〕 Objective To explore the value of clinical dosage of norepinephrine in evaluating the prognosis of patients with sepsis and septic shock. Methods Retrospective study and analysis of patients with sepsis and septic shock(a total of 300 cases) were admitted. Patients were divided into survival group and death group according to the life and death within 28 d, single-factor analysis was used to screen out the indicators related to the patient′s prognosis, and then multi-factor analysis Logistic regression was used to screen out the independent risk factors which affected the patient′s prognosis. Receiver operating characteristic curve(ROC) curve was used to evaluate the predictive efficacy of the continuous variables of the independent risk factors selected for the patient ′s prognosis, and the results were completed using an area under curve(AUC). The Kaplan-Meier method was used to compare the survival rates of patients in the high-dose group and the low-dose group, respectively. Results (1) Univariate analysis showed there were significant differences in maximum dose of norepine kidney, cumulative dose of norepine kidney, APACHE Ⅱ score, SOFA score, pre-ICU department, basic diseases(respiratory diseases, cirrhosis), ICU average fluid output(P<0.05);(2) the maximum dose of norepine kidney, the cumulative dose of norepine kidney, invasive mechanical ventilation, and APACHE Ⅱ score were independent factors that affect the patients' s poor prognosis;(3) ROC curve display: cumulative dose of norepinephrine was the most effective in predicting theprognosis in patients with sepsis and septic shock;(4) Kaplan-Meier survival curve showed that the survival rate of high-dose group was lower than low-dose group at any time point. Conclusion The dose of norepinephrine administered to patients with sepsis and septic shock can reflect the prognosis of patients.