Quality evaluation of Bolbostemmatis Rhizoma by UPLC fingerprint combined with QAMS / 中国中药杂志

The present study was performed to establish the UPLC fingerprints of Bolbostemmatis Rhizoma and determine the contents of three saponins by quantitative analysis of multi-components by single marker(QAMS), and provide basis for quality evaluation of Bolbostemmatis Rhizoma. The analysis was carried out on an analytical column of Waters Cortecs T3(2.1 mm×100 mm,1.6 μm)with gradient elution by acetonitrile-0.1% phosphoric acid solution, at a flow rate of 0.3 mL·min~(-1). The detection wavelength was 203 nm, the column temperature was 30 ℃ and the injection volume was 1 μL. The UPLC fingerprints of Bolbostemmatis Rhizoma were established and evaluated by similarity calculation, cluster analysis and principal component analysis. The relative calibration factors of toberoside B and toberoside C were determined with toberoside A as internal reference. The content was calculated by relative calibration factors to develop a method of QAMS. Comparing the results of QAMS with those of ESM, the accuracy and feasibility of one-eva-luation and multi-evaluation can be determined. RESULTS:: showed that the fingerprints of 19 batches of Bolbostemmatis Rhizoma have four common peaks with similarities ranging from 0.754 to 1.000. Cluster analysis and principal component analysis classified 19 batches of Bolbostemmatis Rhizoma into three categories, which was consistent with the similarity evaluation results. The relative deviation between the content of tubeicosides B and C in 19 batches of Bolbostemmatis Rhizoma determined by QAMS and ESM is less than 5.0%, indicating that there was no significant difference between the two methods. Therefore, the UPLC fingerprints combined with QAMS and similarity evaluation can be effectively used to evaluate the quality of Bolbostemmatis Rhizoma.

Incidence and antimicrobial resistance of pathogens of healthcare-associated infection in a general hospital for three consecutive years / 中国感染控制杂志

Objective To understand the occurrence of healthcare-associated infection (HAI),distribution of pathogens,and drug resistance in a general hospital in 2014-2016,provide basis for prevention and control of HAI.Methods Clinical data of hospitalized patients from January 2014 to December 2016 were collected by prospective and retrospective investigation,distribution and drug resistance of pathogens causing HAI were statistically analyzed.Results From 2014 to 2016,4 750 patients had 5 352 cases of HAI,incidence and case incidence of HAI were 2.19％ and 2.46％ respectively.Incidences of HAI in three years were 2.47％,2.07％,and 2.05％ respectively,showing a decreased tendency,difference was statistically significant (x2 =36.217,P＜0.01).Incidences of HAI were high in intensive care unit,department of neurosurgery,as well as department of burn and plastic surgery,the common HAI sites were respiratory tract,urinary tract,and surgical sites.The main pathogens causing HAI were gram-negative bacteria (76.10％).Resistance rates of Escherichia coli to cephalosporins and fluoroquinolones were relatively higher (＞60％);resistance rates of Klebsiella pneumoniae to carbapenems were relatively higher;resistance rates of Pseudomonas aeruginosa to carbapenems showed a increased tendency year by year (x2 =15.175,P =0.001);antimicrobial resistance rates of Acinetobacter baumannii were all＞50 ％.Methicillin-resistant Staphy lococcus aureus (SA) accounted for about 60％ of SA,methicillin-resistant coagulase negative Staphylococcus(CNS) accounted for more than 80％ of CNS,vancomycin-and linezolid-resistant Staphylococcus spp.were not found.Conclusion The common pathogens causing HAI in this hospital are higher.Scientific monitoring on HAI and regular analysis of clinical data are of great significance for guiding rational use of antimicrobial agents,controlling multidrug-resistant organisms,and reducing the occurrence of HAI.