OBJECTIVE To analyze the distribution and drug resistance of pathogenic bacteria in hospital-associat-ed infections for patients after renal transplantation,and to provide a reference for the rational selection of antibac-terial drugs for anti-infective treatment in such patients.METHODS Clinical data were collected from 89 hospital-ized patients who underwent renal transplantation and developed hospital-associated infection at Beidaihe Rehabili-tation and Recuperation Center(formerly known as 281 Hospital)from 2017 to 2021.The pathogenic bacteria de-tected in different types of hospital-associated infections and the drug resistance of the main pathogenic bacteria were analyzed.RESULTS A total of 89 pathogenic bacterial strains were isolated from the 89 patients with hospi-tal-associated infection,including 74 gram-negative bacterial strains(83.15％)and 15 gram-positive bacterial strains(16.85％).The predominant pathogenic bacterial strains were Klebsiella pneumoniae,Escherichia coli and Pseudomonas aeruginosa.Respiratory tract infection was the most common.E.coli showed severe drug re-sistance,with high drug resistance rates to various antibacterial drugs(complete drug resistance to piperacillin and ampicillin).K.pneumoniae was generally drug resistant to ampicillin.Enterobacter cloacae showed high sensitivi-ty to carbapenems,amikacin and enzyme inhibitor combinations.P.aeruginosa had low drug resistance rates to imipenem and meropenem.Staphylococcus aureus was completely drug resistant to antibacterial drugs such as penicillin,erythromycin and gentamicin,and no drug-resistant strains to vancomycin and linezolid were found.CONCLUSIONS The gram-negative bacteria are dominant among the bacteria isolated from the renal trans-planted patients with postoperative hospital-associated infections,with a high detection rate of E.coli and a severe drug resistance situation.Therefore,it is necessary to strengthen the monitoring of drug resistance in renal trans-plant recipients and make rational choices of antibacterial drugs.

OBJECTIVE To analyze the distribution and drug resistance of pathogenic bacteria in hospital-associat-ed infections for patients after renal transplantation,and to provide a reference for the rational selection of antibac-terial drugs for anti-infective treatment in such patients.METHODS Clinical data were collected from 89 hospital-ized patients who underwent renal transplantation and developed hospital-associated infection at Beidaihe Rehabili-tation and Recuperation Center(formerly known as 281 Hospital)from 2017 to 2021.The pathogenic bacteria de-tected in different types of hospital-associated infections and the drug resistance of the main pathogenic bacteria were analyzed.RESULTS A total of 89 pathogenic bacterial strains were isolated from the 89 patients with hospi-tal-associated infection,including 74 gram-negative bacterial strains(83.15％)and 15 gram-positive bacterial strains(16.85％).The predominant pathogenic bacterial strains were Klebsiella pneumoniae,Escherichia coli and Pseudomonas aeruginosa.Respiratory tract infection was the most common.E.coli showed severe drug re-sistance,with high drug resistance rates to various antibacterial drugs(complete drug resistance to piperacillin and ampicillin).K.pneumoniae was generally drug resistant to ampicillin.Enterobacter cloacae showed high sensitivi-ty to carbapenems,amikacin and enzyme inhibitor combinations.P.aeruginosa had low drug resistance rates to imipenem and meropenem.Staphylococcus aureus was completely drug resistant to antibacterial drugs such as penicillin,erythromycin and gentamicin,and no drug-resistant strains to vancomycin and linezolid were found.CONCLUSIONS The gram-negative bacteria are dominant among the bacteria isolated from the renal trans-planted patients with postoperative hospital-associated infections,with a high detection rate of E.coli and a severe drug resistance situation.Therefore,it is necessary to strengthen the monitoring of drug resistance in renal trans-plant recipients and make rational choices of antibacterial drugs.

Objective To strengthen the homogeneous management of logistics of multi-campus hospital and improve the quality and efficiency of logistics service in order to improve the satisfaction of logistics.Methods On the basis of existing serv-ice model,we developed the logistics intelligent integrated management platform,and used the information management method to realize the homogeneous service and standardized management.Results With the logistics intelligent integrated management platform,maintenance time was reduced,and logistics satisfaction was significantly increased.Conclusion The establishment of a one-stop logistics service model based on the logistics intelligent integrated management platform can enhance multi-hospital lo-gistics management and improve both quality and efficiency.

Objective:To explore the correlation between serum protein factor level and clinical symptoms and cognitive impairment in patients with schizophrenia and to predict the degree of cognitive impairment, so as to provide an auxiliary method for clinical evaluation of cognitive impairment severity and prognosis of schizophrenia.Methods:From September 2017 to April 2019, 71 schizophrenic patients diagnosed in the First Affiliated Hospital of Kunming Medical University were selected as the patient group, and 65 healthy volunteers from the physical examination center of the same hospital were selected as the control group.The concentrations of tumor necrosis factor α(TNF-α), brain-derived neurotrophic factor(BDNF) and calcium-binding protein β(S100β) in peripheral blood were detected by ELISA method.Cognitive function was evaluated by MATRICS consensus cognitive battery(MCCB) cognitive assessment.The clinical symptoms of patients were evaluated by positive and negative syndrome scale(PANSS) scale.SPSS 20.0 software was used for statistical analysis, independent sample t-test was used for comparison between groups, and Pearson correlation analysis was used for the relationship between serum protein factor level and cognitive function and clinical symptoms.In order to objectively predict, evaluate and verify the severity of cognitive impairment in schizophrenia, Bayes discriminant function was established with serum protein factor concentration and PANSS total score as independent variables and the defect degree of cognitive factors in MCCB as dependent variables. Results:The serum TNF-α((63.2±25.2)pg/L vs (31.4±14.3)pg/L) and S100β((68.0±26.4)pg/L vs (47.3±20.2)pg/L) concentrations in the patient group were higher than those in the control group.The concentration of serum BDNF in the patient group was lower than that in the control group ((2 517.8±1 140.2)pg/L vs (5 202.2±447.2)pg/L), and the difference was statistically significant ( P=0.000). In the retrospective test of cognitive impairment severity in Bayes discriminant function model, the correct discrimination rates of four cognitive factors were speed of processing(SoP) 69.0%, Verbal learning(VeL) 63.4%, reasoning and problem solving(RPS) 76.1% and visual learning(ViL) 73.2%.The correct discrimination rates of cross-examination were SoP 66.2%, VeL 60.6%, RPS 73.2%, ViL 66.2. Conclusion:The levels of serum protein factors TNF-α, BDNF and S100β and clinical symptom scores of schizophrenia have different degrees of correlation with the severity score of cognitive impairment.Bayes discriminant function model has higher correct discrimination rate for the severity of cognitive impairment of schizophrenia.It is found that the levels of schizophrenia-related protein factors and clinical symptom scores may have predictive effect on the severity of cognitive impairment, providing a more objective basis for the clinical efficacy evaluation of schizophrenia patients.

Objective:To explore the application value of artificial intelligence-assisted diagnosis system for TBS report in cervical cancer screening.Methods:A total of 16 317 clinical samples and related data of cervical liquid-based thin-layer cell smears, which were obtained from July 2020 to September 2020, were collected from Southern Hospital, Guangzhou Huayin Medical Inspection Center, Shenzhen Bao′an People′s Hospital(Group) and Changsha Yuan′an Biotechnology Co., Ltd. The TBS report artificial intelligence-assisted diagnosis system of cervical liquid-based thin-layer cytology jointly developed by Southern Medical University and Guangzhou F. Q. PATHOTECH Co., Ltd. based on deep learning convolution neural network was used to diagnose all clinical samples. The sensitivity,specificity and accuracy of both artificial intelligence-assisted diagnosis system and cytologists using artificial intelligence-assisted diagnosis system were analyzed based on the evaluation standard(2014 TBS). The time spent by the two methods was also compared.Results:The sensitivity of artificial intelligence-assisted diagnosis system in predicting cervical intraepithelial lesions and other lesions (including endometrial cells detected in women over 45 years old and infectious lesions) under different production methods, different cytoplasmic staining and different scanning instruments was 92.90% and 83.55% respectively, and the specificity of negative samples was 87.02%, while that of cytologists using artificial intelligence-assisted diagnosis system was 99.34%, 97.79% and 99.10%, respectively. Moreover, cytologists using artificial intelligence-assisted diagnosis system could save about 6 times of reading time than manual.Conclusions:Artificial intelligence-assisted diagnosis system for TBS report of cervical liquid-based thin-layer cytology has the advantages of high sensitivity, high specificity and strong generalization. Cytologists can significantly improve the accuracy and work efficiency of reading smears by using artificial intelligence-assisted diagnosis system.

In this paper， the types and expression characteristics of microRNAs related to cognitive impairment in schizophrenia patients were reviewed， so as to provide a reference for further research on the characteristics of cognitive impairment in schizophrenia patients， and to open up new ideas for further research on the molecular mechanism of cognitive impairment as well as subsequent precise treatment and prognosis evaluation.

Objective To investigate the serum levels of neuregulin-1 (NRG-1) and the gamma activity of the prefrontal cortex of electroencephalogram (EEG) in the resting state in first-episode schizophrenia patients and exam﹣ine their correlation with clinical symptoms and cognitive function. Methods The serum levels of NRG-1 were mea﹣sured in 53 patients and 58 controls. The gamma activity was first collected from the lead of FP1 and FP2 of the pre﹣frontal cortex of EEG and was then measured by using time-frequency analysis. The psychotic symptoms were as﹣sessed by positive and negative syndrome scale (PANSS). The MATRICS consensus cognitive battery (MCCB) was used to assess the cognitive function. Results The serum levels of NRG-1 was significantly lower in the case group than in the control [(7.36±3.96) pg/mL vs. (11.02±8.78) pg/mL, P=0.006]. The gamma activity was significantly different be﹣tween the case group and the control group [39(73.6%) vs. 14(26.4%), P<0.001]. The scores of TMT in MCCB was significantly higher while the scores of BACS SC, HVLT-R, NAB, BVMT-R and CF scores were significantly lower in the case group than the control group (P<0.01). There was a negative correlation between the serum NRG-1 level and the gamma activity in the case group (r=-0.542, P<0.001). There was a negative correlation between the serum NRG-1 level with PANSS (r=-0.360, P=0.009), while the gamma activity was positively correlated with PANSS (r=0.278, P=0.046) in the case group. The serum NRG-1 level was significantly positively correlated with the scores of HVLT-R in the case group (r=0.332, P=0.016), and the gamma activity was significantly negatively correlated with the scores of HVLT-R (r=-0.442, P=0.001) and NAB (r=-0.307, P=0.027). Conclusion The serum NRG-1 level and the gamma activity are correlated with the clinical symptoms and cognitive impairment of patients with first-episode schizophrenia to some degree, suggesting that abnormal neurobiochemical and neuroelectrophysiological reactions exist and interact with each other in the early stage of schizophrenia.

Objective To study the clinical value of electronic bronchoscope in diagnosis and treatment of recurrent dyspnea in neonates.Method From October 2014 to October 2017,the clinical data of recurrent dyspnea receiving electronic bronchoscopy examination and treatment in the neonatal intensive care unit of our hospital were retrospectively selected.Their clinical characteristics and treatment effects were summarized and analyzed.Result A total of 171 infants of neonatal recurrent respiratory infections were examined using electronic bronchoscope.The top four causes included endo－tracheo－bronchitis in 78 cases (45.6%), laryngomalacia, and tracheobronchomalacia in 22 cases (12.9%), airway stenosis in 14 cases (8.2%) and esophagotracheal fistula in 12 cases ( 7.0%).The complications of intraoperative and postoperative included decline of percutaneous oxygen saturation and /or heart rate (20.5%, 35/171), mucosal bleeding (12.3%, 21/171 ), and fever after bronchoalveolar lavage.Electronic bronchoscopy examination confirmed all the 171 neonates′diagnosis and some of them recovered after corresponding treatment.78 cases of infants with endo－tracheobronchitis were all cured.22 cases of laryngomalacia and tracheobronchomalacia and nine patients with airway stenosis improved and were discharged after treatment . One patient with subglottic stenosis received bronchoscopic holmium laser ablation therapy and the airway significantly expanded.No re－stenosis was found during follow－up.Conclusion Electronic bronchoscopy is an important method to determine the cause of recurrent dyspnea in newborns , and it′safe,reliable and can play a therapeutic role in some neonates.

Objective To investigate the critical value of TSH-stimulated Tg(sTg) in the diagnosis of metastasis from DTC, and to evaluate the diagnostic value of the ratio of sTg to suppressed Tg (sTg/suppressed Tg).Methods A total of 330 post-operative DTC patients(87 males, 243 females, age range: 12-70 years)who underwent thyroid remnant ablation from August 2008 to December 2014 were retrospectively reviewed.Their serum TgAb levels were normal.The patients were divided into non-metastasis group(147 cases)and metastasis group(183 cases) according to results of ultrasonography, CT and WBS.The difference of sTg between the two groups were compared by Mann-Whitney rank sum test.ROC curve was used to analyze the relationship between sTg, sTg/suppressed Tg ratio and metastasis, the cutoff value was calculated.Results The sTg was significantly different between the non-metastasis group and metastasis group: 1.0 (0.1, 2.0) μg/L vs 36.5 (3.9, 126.7) μg/L;u=-6.642, P<0.05.The AUC for ROC curve in metastasis group was 0.85, and the cutoff value was 2.05 μg/L, with the sensitivity 85.2%, specificity 67.3%, and accuracy 82.3%.While sTg<2.05 μg/L, the AUC of sTg/suppressed Tg ratio was 0.941, and the cutoff value was 4.3, with the sensitivity 93.3%, specificity 88.2%, and accuracy 92.3%.Conclusions The sTg has a specific value for the diagnosis of metastasis from DTC after operation and the cutoff value is 2.05 μg/L in this set of patients.The ratio of sTg/suppressed Tg could be used to correct the sTg and to improve the diagnostic sensitivity.