Objective:To select the relevant evidence of percutaneous pericardial drainage tube nursing and summarize the best evidence.Methods:Evidence-based questions were established based on PIPOST model. BMJ Best Clinical Practice, China Biology Medicine disc (CBM) , UpTodate, Cochrane Library, Joanna Briggs Institute Evidence-based Health Care Database, China Guide Network, British Guide Network, National Guide Line Clearing House (NGC) , PubMed, EMbase, Evidence-based Medicine (EBM) , Registered Nurses' Association of Ontario (RNAO) , The European Society of Cardiology (ESC) , American Heart Association (AHA) , Chinese Journal Full-text Database and Wanfang Database were conducted computer retrieval. The search time was from the establishment of the database to December 31, 2020. Two researchers respectively evaluated the quality of the included literature and extracted data and summarized and summarized the evidence that met the standards.Results:Finally, 12 articles were included, including 1 evidence summary, 2 systematic reviews, 1 systematic assesment, 2 guidelines, 1 expert consensus and 5 case series studies. Finally, 11 pieces of evidence were formed, including 6 themes such as drainage tube selection, puncture wound nursing, drainage flow control, flushing and sealing of the tube, observation and recording points, extubation indications and care.Conclusions:This study summarizes the best evidence for percutaneous pericardial drainage tube nursing, which provides evidence-based basis for improving the quality of percutaneous pericardial drainage tube care.

OBJECTIVE：To compare th e difference of the components of volatile oil in Citrus medica from different producing areas. METHODS ：The volatile oil of C. medica from 10 different producing areas was extracted with steam distillation ，and the yield was calculated. The components of the volatile oil of C. medica from different producing areas were analyzed by GC-MS. The compounds were retrieved from NIST 14.L mass spectrum database and identified. Relative mass fraction of chemical component was determined by peak area normalization method. Cluster analysis of samples were performed by using SPSS 20.0 software. RESULTS：The yields of volatile oil of C. medica from 10 different producing areas were 0.10％-1.75％，among which sample from Qianwei county in Leshan city of Sichuan province was the highest （1.75％）. A total of 66 components were identified in the volatile oil of C. medica from different producing areas ，with a relative molecular weight of 126.20-392.66. The majority was C 10 and C 15 compounds；isomers with relative molecular weight of 136，154 took up the great proportion ，which were mainly cycloalkane monoterpenes. There were 12 common components in the volatile oil of C. medica from different areas ，which were limonene（24.90％），terpinene（14.71％），（－）-4 terpineol（2.88％），citral（2.33％），α-myrrhene（2.33％），geraniol（1.52％）， α-pinene（1.37％），trans bergamot olene （1.16％），isoterpinene（1.13％），methyl palmitate （1.12％），linalool（1.09％）and geranyl acetate（1.04％）according to relative mass fraction ；8 of them were monoterpenes ，2 were sesquiterpenes and 2 were esters. There were 4 categories of C. medica from different producing areas ，i.e. S 2，S4，S6 clustered into one ；S1，S3，S7，S8 clustered into one ； S5 and S 10 clustered into one ；S9 as one . CONCLUSIONS ： There are some difference of the components in volatile oil of medica from different producing areas ，and the content of the same component also has great difference in the volatile oil of C. medica from different producing areas.

OBJECTIVE： To optimize the purification technology of total flavonoids from Sparganium stoloniferum. METHODS： Separation and purification by macroporus adsorption resin， using sample solution pH， flow rate and concentration of eluent， the purification rate of total flavonoids as evalution indexes， the purification technology of total flavonoids from S. stoloniferum were optimized by Box-Behnken design-response surface methodology based on single factor test. Validation test was conducted. RESULTS： The optimal purification technology was sample solution pH 4.8， flow rate of eluent 2.0 BV/h， concentration of eluent 72％. The purification rate of total flavonoids in 3 batches of samples was 72.34％ （RSD＝1.77％， n＝3） in validation test， relative errors of which to predicted value （73.99％） was 2.13％. CONCLUSIONS： The optimal purification technology is stable and feasible， and can be used for the purification of total flavonoids from S. stoloniferum.