Objective To establish a method of HPLC for determination of salidroside in Jintianquban Tablets. Methods Waters C18 column was used. The methanol-water was used as the mobile phase. The flow rate was 0.8 mL/min. The detection wavelength was set at 276 nm. Results For salidroside, the linear range was 0.3 456~3.456 ?g, and the average recovery rate was 100.3% with RSD=1.71%. Conclusion The method is simple, reliable, accurate and can be applied to the quality control of the preparation.

Objective To evaluate effect of clinical study combined with short-term intensive simulation on training of hysteroscopy technology. Methods Trainees receiving training of hystero-scopy technology from the January to December 2012 in Gynecology Minimally Invasive Center, Bei-jing Gynecology and Obstetrics Hospital Affiliated to Capital Medical University were enrolled and di-vided into two groups depending on the different training modes. Twenty-four trainees in group1 par-tic-ipated in three-month hysteroscopic clinical study program. Twenty-two trainees in group2 partici-pated in three-month clinical study program including one-week short term intensive simulation. After the training, the effect was evaluated by the rating scale and the Rank sum test was used for statisti-cal analysis. P<0.05 signifies statistically significant difference. Results The operation time(P=0.03), forward planning (P=0.02), instrument handing (P=0.00) and knowledge of specific procedure (P=0.04) were improved significantly in group 2 compared with those in group 1. Conclusions The training mode of clinical study combined with the short-term intensive simulation can improve hys-teroscopy technology effectively and should be widely applied.

Objective:To explore the value of Care Evaluation Scale (CES) in cancer patients for predicting survival time in patients with advanced breast cancer.Methods:From November 2018 to June 2020, the convenient sampling was used to select 140 patients with advanced breast cancer who were treated in Qingdao Central Hospital Affiliated to Qingdao University and 140 home caregivers as the research objects. Researchers contacted home caregivers of patients with advanced breast cancer to set up a time and place to conduct one-on-one surveys of research objects using the Cancer Patient CES. Pearson correlation was used to analyze the correlation between survival time and CES score in patients with advanced breast cancer. Multiple stepwise regression analysis was used to analyze the influencing factors of CES scores in patients with advanced breast cancer. A total of 140 questionnaires were distributed, of which 133 were valid, and the effective recovery rate was 95.00% (133/140) .Results:Among the 133 patients with advanced breast cancer, 76 were Luminal A, 19 were Luminal B, 12 were ERBB 2+ and 26 were Basal-like. Luminal type A advanced breast cancer patients had the longest survival time, and the differences were statistically significant compared with those of ERBB 2+ and Basal-like advanced breast cancer patients ( P<0.05) . There was no statistically significant difference in survival time between Luminal B type advanced breast cancer and Luminal A, ERBB 2+ and Basal-like advanced breast cancer patients ( P>0.05) . Luminal type A advanced breast cancer patients had the highest CES score, and the differences were statistically significant compared with those of Luminal type B, ERBB 2+ and Basal-like advanced breast cancer patients ( P<0.05) . There was no statistically significant difference in the CES score between Luminal B advanced breast cancer and Luminal A, ERBB 2+ and Basal-like advanced breast cancer ( P>0.05) . Pearson correlation analysis found that the survival time of patients with advanced breast cancer was positively correlated with the CES score ( r=0.892, P<0.05) . The influencing factors of CES empowerment in patients with advanced breast cancer included physical care provided by doctors, mental health care, environment, explanation or instructions by doctors to family members, collaboration and persistence, consideration for family members, availability, cost, explanation or instructions by doctors to patients and physical care provided by nurses. Conclusions:CES in cancer patients can effectively predict the survival time of patients with advanced breast cancer. The molecular types of patients with advanced breast cancer are different and the effect of predicting survival time is also different.