【Abstract】 Objective To comparative the clinical value of qSOFA score and CURB65 score on predicting the severity and prognosis of communityacquired pneumonia (CAP) with sepsis in Emergency Department. Methods The clinical data of communityacquired pneumonia with sepsis of adult patients were collected retrospectively from July 1, 2015 to June 30, 2016 at the West China Hospital of Sichuan University. The qSOFA score and CURB65 score were calculated at admission. The clinical value of qSOFA score and CURB65 score on Predicting the 28day mortality of communityacquired pneumonia with sepsis were compared by ROC curve analysis. According to the Cut off value divided into two groups. Comparative the efficacy of two scoring methods on predicting the average hospital stay of ICU, the 28day mechanical ventilation and the 28day mortality. Results 428 patients were included, including male 284 cases, female 144 cases, the average age of 60 ± 1743 years old. The area under the curves of 28day mortality of CAP with sepsis assessed by the qSOFA score and CURB65 score were 0670 (95% CI= 0611 ~ 0729), 0639 (95% CI= 0578 ~ 0700) respectively. Both cutoff values are 2 points. The ICU average length of hospital stay、28day mechanical ventilation and 28day mortality were significantly higher in qSOFA≥2 group and CURB65≥2 group than those in qSOFA <2 group and CURB65 <2 group respectively (P <005). The 28day mechanical ventilation and 28day mortality were higher in the qSOFA≥2 group than in the CURB65≥2 group (P <005), but there was no significant difference between the two groups (P＞ 005). The ICU average length of stay、 28day mechanical ventilation and 28day mortality were no significant difference between qSOFA<2 group and CURB65<2 group（P＞005. Conclusion The qSOFA score and CURB65 score all have the clinical value on predicting the severity and prognosis of CAP with sepsis in Emergency Department. However, the qSOFA score is better than the CURB65 score to identify critically ill patients and predict poor prognosis.