Objective: To investigate the influence of apolipoprotein AⅠ (apoAⅠ) at admission on the prognosis of patients with pulmonary embolism (PE). Methods: A total of 161 patients who were hospitalized with initial diagnosis of PE in our hospital from August 1

2013 to August 15

2019 were retrospectively screened. The receiver operating characteristic (ROC) curve was used to calculate the optimal cut-off value of apoA I and patients were divided respectively into 2 groups which contained the low level group and the high level group. Follow-up was started with the admission time

and the deadline was September 15

2019. The end-event was all-cause death. Kaplan-Meier method was applied to draw the survival curves and log-rank test was used to compare two curves. Univariate and multivariate Cox proportional hazards regression model analysis was used to analyze variables included apoAⅠwhich potentially influenced the prognosis. Results: During the follow-up period

39 patients died by all-cause

with fatality rate of 24.22%. The optimal cut-off of ROC was 0.965 g/L and the area under the curve (AUC) was 0.716 (95%CI=0.616-0.815). The cases of dead patients in the high level apoAⅠgroup (≥0.965 g/L

n=112)

and low level apoAⅠgroup (<0.965 g/L

n=49) were 15 and 24

respectively. The fatality rate of patients in the low level group was 48.98%and in the high level group was 13.39%. Univariate Cox proportional hazards regression model analysis showed that age

total cholesterol

malignant tumor

the use of statins and the level of apoAⅠhad significance to prognosis of patients (P<0.2). Multivariate Cox proportional hazards regression model analysis concluded that age (P=0.001)

the use of statins (P=0.003)

malignant tumor (P=0.001) and level of apoAⅠ (P=0.004) were independent factors influencing PE prognosis

indicating that apoAⅠ<0.965 g/L was of predictive value to the prognosis of patients with PE. Log-rank test indicated that survival rate in the low level group was significantly lower than that in the high level group

with statistically significant difference (P=0.000). Conclusion: The decrease of apoAⅠlevel detected in admission is related with the increase of mortality risk

which can predict the prognosis of patients with PE.