Objective:To clarify the risk factors for post-operative central nervous system infection (PCNSI) to provide references for prevention and treatment of PCNSI.Methods:A total of 397 patients with neurosurgery diseases, admitted to and accepted 403 surgeries in our hospital from February 1 st, 2015 to December 30 th, 2015, were chosen in our study; their clinical data were collected. The incidence of PCNSI was analyzed. Risk factors for PCNSI were analyzed by univariate analysis and multivariate Logistic regression analysis. The ajusted specific infection rate of PCNSI was calculated in 12 chief surgeons who performed≥8 operations during the study period to assess the influence of surgeons in PCNSI incidence. Results:The PCNSI incidence in these 397 patients was 9.2% (37/403). The cerebrospinal fluid (CSF) culture positive rate was 29.7% (11/37), including 6 (54.6%) with positive gram staining. Univariate analysis showed that as compared with the non-infected group (366 surgeries), patients in the PCSNI group (37 surgeries) had significantly higher National Nosocomial Infections Surveillance (NNIS) scale, significantly higher proportion of patients with preoperative stay>6 d, significantly longer operative duration, and statistically higher proportion of involvement of scrub nurses with experience in fewer than 8 procedures ( P<0.05). Multivariate Logistic regression analysis showed operative duration ( OR=1.389, 95%CI: 1.202-1.606, P=0.000) and involvement of scrub nurses with experience in fewer than 8 procedures ( OR=2.860, 95%CI: 1.276-6.412, P=0.011) were independent risk factors for PCNSI. After adjustment by NNIS scale, the ajusted specific infection rate of PCNSI in 12 chief surgeons was 20.0%, 23.0%, 17.3%, 18.2%, 13.4%, 12.5%, 6.3%, 8.0%, 5.2%, 4.0%, 0.0%, and 0.0%, respectively, enjoying obvious differences. Conclusion:Specialized infection control training should give to surgeons with high adjusted specific infection rate of PCNSI; this training, shortening operative duration, and training of neurosurgery specialist nurses will be important measures to reduce PCNSI incidence.

The comprehensive detection and identification of active ingredients in complex matrices is a crucial challenge.Liquid chromatography coupled with high-resolution mass spectrometry(LC-HRMS)is the most prominent analytical platform for the exploration of novel active compounds from complex matrices.However,the LC-HRMS-based analysis workflow suffers from several bottleneck issues,such as trace content of target compounds,limited acquisition for fragment information,and uncertainty in interpreting relevant MS2 spectra.Lycibarbarspermidines are vital antioxidant active ingredients in Lycii Fructus,while the reported structures are merely focused on dicaffeoylspermidines due to their low content.To comprehensively detect the new structures of lycibarbarspermidine derivatives,a"depict"strategy was developed in this study.First,potential new lycibarbarspermidine derivatives were designed according to the biosynthetic pathway,and a comprehensive database was established,which enlarged the coverage of lycibarbarspermidine derivatives.Second,the polarity-oriented sample prep-aration of potential new compounds increased the concentration of the target compounds.Third,the construction of the molecular network based on the fragmentation pathway of lycibarbarspermidine derivatives broadened the comprehensiveness of identification.Finally,the weak response signals were captured by data-dependent scanning(DDA)followed by parallel reaction monitoring(PRM),and the efficiency of acquiring MS2 fragment ions of target compounds was significantly improved.Based on the integrated strategy above,210 lycibarbarspermidine derivatives were detected and identified from Lycii Fructus,and in particular,170 potential new compounds were structurally characterized.The integrated strategy improved the sensitivity of detection and the coverage of low-response components,and it is expected to be a promising pipeline for discovering new compounds.

Objective To analyze and study the prescriptions of Chief Physician Chang Yalin for treating breast hyperplasia patients in the outpatient department,explores and summarizes the medication patterns for treating breast hyperplasia,and provides reference and dialectical medication ideas for clinical treatment of breast hyperplasia by using data mining technology.Methods Collect the prescriptions of Dr.Chang Yalin for treating breast hyperplasia patients at the Outpatient Department of Jiuquan Traditional Chinese Medicine Hospital from January 1,2017 to December 31,2022.After induction and organization,establish a data table,use Excel 2019 to statistically analyze the drug frequency and gender,taste,and meridian.Use SPSS Modoler 18.0 software April algorithm to analyze the association rules of the drugs,and use SPSS Statistics for cluster analysis.Results A total of 184 prescriptions were included,covering 140 types of traditional Chinese medicine,with a total frequency of use of 4059 times.Among them,Cornus officinalis,dried ginger,roasted licorice,Poria cocos,and jujube are commonly used drugs for the treatment of breast hyperplasia.The top three types of Chinese medicine that are commonly used are tonifying deficiency,warming internal medicine,and relieving external symptoms.The medicinal properties are mainly warm and mild;The medicinal taste is characterized by sweetness,bitterness,and bitterness;The main meridians of drugs are spleen,lung,and heart meridians.Association rule analysis shows that roasted licorice white peony,poria cocos,licorice,and cornus flesh white peony,jujube,and ginger are equivalent.Classify commonly used drugs into 4 categories using Euclidean distance clustering and segmentation with 5.Conclusion Dr.Chang Yalin has always implemented the core idea of treating breast hyperplasia through the coordination of liver and spleen,the simultaneous application of attack and tonifying,and the simultaneous treatment of phlegm and blood stasis.In terms of the combination of latent drugs,the main focus is on tonifying qi and spleen,tonifying yin/blood and regulating liver,and resolving stasis/resolving phlegm and dispersing stagnation.In terms of the combination of"cold phlegm"and"blood stasis and toxin",as well as the combination of"eighteen contraindications"and"nineteen contraindications",his principles and methods are more distinctive and worthy of further research and promotion.

During the COVID-19 epidemic, our national guidelines have suggested that surgical patients should wear a mask to decrease the potential transmission of COVID-19 in the operating room, as long as the condition allows. However, so far, there is no study to discuss the influence of wearing a mask on the ventilation and blood oxygenation status in patients of spontaneous breathing with supplementary oxygen through an anesthetic facemask. This is a before-after study in the same patient, and 10 healthy volunteers were recruited, by testing the arterial blood gas parameters at key time points before and after oxygen inhalation to evaluate the effects of two different supplementary oxygen methods ('disposable medical mask + anesthetic facemask' and 'anesthetic facemask only') on the oxygenation of subjects. Our data demonstrated whether wearing a disposable medical mask or not could effectively increase the oxygen supply of the subjects compared with the basic value before oxygen inhalation; however, compared with the group without mask, the arterial oxygen partial (PaO
COVID-19 ; Healthy Volunteers ; Humans ; Masks ; Oximetry ; Oxygen/blood*