Objective Using ROC curve to determine the best cut-off point of serum HE-4 in the diagnosis of ovarian cancer and provide important value to diagnosis early ovarian cancer.Methods The levels of serum HE-4 in 68 ovarian cancer pa-tients,42 ovarian benign tumor patients and 30 healthy female were detected by electrochemistry irradiance method.The ROC curve was drawn and the cut-off point of HE-4 was determined by statistical software.Results The levels of serum HE-4 were all non-normal distribution in the groups of ovarian cancer,ovarian benign tumor and healthy controls.Whats more,there was no significant difference between ovarian benign tumor group and normal control group.And compared with benign ovarian tumors and normal control group,the level of HE-4 in ovarian cancers was significantly increased (P <0.01).It would be best for diagnosis when the level of serum HE-4 was 108pmol/L in ovarian cancer.Youden’s index showed the maximum (0.713)and the sensitivity and specificity of diagnosing were 77.9% and 93.1% respectively.The positive predictive value was 91.4% and negative predictive value was 91.4%.At the same time,the positive likelihood ratio was 11.6 and the negative likelihood ratio was 0.2,odds ratio reached to 47.3.Conclusion The detection of HE-4 is an ideal mark for diagnosing and excluding ovarian cancer.Selecting 108 pmol/L as ovarian cancer diagnosis point is relative appro-priate.

Objective: To evaluate the current status and related factors of influenza vaccination among health care workers (HCWs) in tertiary hospitals of Xining city after the implementation of the free influenza vaccination policy. Methods: In August 2018, the cluster sampling method was used to select four medical institutions in Xining that had previously conducted investigations and interventions. All HCWs(excluding logistic staff) in each medical institution were included in the study. A total of 3 260 valid respondents were included. Questionnaires were used to collect the demographic characteristics, influenza and influenza vaccination awareness, implementation of free policy in the influenza epidemic season from 2017 to 2018, influenza vaccination status, awareness of influenza vaccination schedule and free policy. The multivariate logistic regression model was used to analyze related factors of influenza vaccination. Results: The age of respondents was (31.41±5.00) years. The influenza vaccination rate was 6.80% (226/3 260) in 2017-2018 influenza epidemic season. After controlling for related factors, the awareness of the influenza vaccination schedule (OR=17.05, 95%CI: 5.86-49.59), vaccination frequency (OR=8.22, 95%CI: 2.98-22.61) and the free policy (OR=3.15, 95%CI: 1.49-6.67) had higher vaccination rate. Conclusion The influenza vaccination rate of HCWs in tertiary hospitals of Xining city was low. Increasing the awareness of the vaccination schedule, frequency and free policy may promote the influenza vaccination rate of HCWs.