OBJECTIVE:To analysis the distribution and antibiotic resistance of common isolated pathogenic bacteria in urinary-tract infection cases in our hospital so as to provide scientific basis for the rational clinical use of antibacterials.MET-HODS:625 urine samples were collected from urinary-tract infection cases in our hospital in 2006,from which,344 strains of bacteria were isolated,which were cultured and subjected to drug sensitivity test.RESULTS:Of the 344 strains of bacteria,Gram-negative bacilli took the lead,accounting for 60.2% of the total,followed by Gram-positive cocci(33.4%) and fungi(6.4%).The detection rates of ESBLs-producing Escherichia coli.and Klebsiella pneumoniae were 49.2% and 27.3%,respectively.The bacteria had different resistant rate to different antibiotics and were multidrug resistant.CONCLUSION:Bacterial culture of urine and drug-sensitivity test should be performed promptly and drugs should be used with prudence for urinary infection cases to reduce drug-resistance bacteria.

This study was aimed to explore the treatment regularity of chronic hepatitis B virus by the famous traditional Chinese medicine (TCM) Professor Wu Shoushan in Hubei province on the basis of the Clinical Research Information Integration of TCM.Clinical data were collected from 767 outpatients with chronic hepatitis B virus and analyzed by classification,association and clustering,according to data integration,remittance and integration.The results showed that from herbs used in 259 prescriptions,the top 5 frequently used herbs were poria,capillaris,dried tangerine peel,salvia and forsythia.In the aspect of herbal combination,the herbal pairs with the highest associations were porialicorice-atractylodes,poria-salvia-atractylodes,capillaries-poria-licorice,and etc.In the data mining of core prescription,the modified classic prescriptions with the highest frequency were the Hao-Qin Qing-Dan decoction,DaAn pill,and Ban-Xia Bai-Zhu Tian-Ma decoction.It was concluded that through the data mining method,we found that the TCM syndrome differentiation rules and methods of Professor Wu Shoushan in the treatment of chronic hepatitis B were mainly from toxin,phlegm,stasis and deficiency.

Nowadays,the prevalence of nonalcoholic fatty liver disease(NAFLD)is constantly rising in China and globally,and its incidence rate is increasing year by year,which has seriously affected human life and health.Lipophagy is molecular chaperone-mediated autophagy and has the functions of promoting lipolysis,maintaining the lipid homeostasis of hepatocytes,and alleviating hepatocyte fatty degeneration.Lipophagy has three main processes of lipid droplet catabolism,lipid droplet autophagy,and fatty acid β-oxidation,which are regulated by key genes,receptors,and enzymes.Currently,important advances have been achieved for the intervention methods of traditional Chinese medicine,Western medicine,diet,and exercise in the research on lipophagy,which provides new perspectives for the prevention and treatment strategies for NAFLD.

This study was aimed to analyze the compatibility principles of herbs for the treatment of jaundice with the method of association rule,and to provide reference for tradition Chinese medicine (TCM) diagnosis and treatment of jaundice.A total of 3404 prescription data of inpatient medical records for the diagnosis of jaundice from 1960 to 1978 were recorded and processed.Then,herbs with high frequency were identified and analyzed the compatibility principles of herbs by Apriori algorithm.The results showed that from 3 404 prescriptions,there were 327 kinds of different herbs,with the average of 10 to 12 herbs in one prescription.From the herb frequency results,we found that the frequency of the top 50 herbs benefits of dieresis and dampness-removing medicine,heat-clearing medicine,deficiency-reinforcing medicine,qi-regulating medicine,blood stasis removing medicine,food stagnation removing medicine,dampnessremoving medicine,purgative medicine,phlegm-removing medicine,and etc.In addition,we identified 27 drug pairs (the associations of 2 herbs) and 24 angle drug pairs (the associations of 3 herbs).It was concluded that the application of association rules to analyze the law of jaundice medication which reflected the treatment experience of jaundice in this period.It can provide a new idea for the further research.It can also provide a way of thinking for our further study.

Objective:To construct a deep learning-based diagnostic system for gastrointestinal submucosal tumor (SMT) under endoscopic ultrasonography (EUS), so as to help endoscopists diagnose SMT.Methods:From January 1, 2019 to December 15, 2021, at the Digestive Endoscopy Center of Renmin Hospital of Wuhan University, 245 patients with SMT confirmed by pathological diagnosis who underwent EUS and endoscopic submucosal dissection were enrolled. A total of 3 400 EUS images were collected. Among the images, 2 722 EUS images were used for training of lesion segmentation model, while 2 209 EUS images were used for training of stromal tumor and leiomyoma classification model; 283 and 191 images were selected as independent test sets to evaluate lesion segmentation model and classification model, respectively. Thirty images were selected as an independent data set for human-machine competition to compare the lesion classification accuracy between lesion classification models and 6 endoscopists. The performance of the segmentation model was evaluated by indexes such as Intersection-over-Union and Dice coefficient. The performance of the classification model was evaluated by accuracy. Chi-square test was used for statistical analysis.Results:The average Intersection-over-Union and Dice coefficient of lesion segmentation model were 0.754 and 0.835, respectively, and the accuracy, recall and F1 score were 95.2%, 98.9% and 97.0%, respectively. Based on the lesion segmentation, the accuracy of classification model increased from 70.2% to 92.1%. The results of human-machine competition showed that the accuracy of classification model in differential diagnosis of stromal tumor and leiomyoma was 86.7% (26/30), which was superior to that of 4 out of the 6 endoscopists(56.7%, 17/30; 56.7%, 17/30; 53.3%, 16/30; 60.0%, 18/30; respectively), and the differences were statistically significant( χ2=7.11, 7.36, 8.10, 6.13; all P<0.05). There was no significant difference between the accuracy of the other 2 endoscopists(76.7%, 23/30; 73.3%, 22/30; respectively) and model(both P<0.05). Conclusion:This system could be used for the auxiliary diagnosis of SMT under ultrasonic endoscope in the future, and to provide a powerful evidence for the selection of subsequent treatment decisions.

Objective To investigate the effect of rehabilitation on memory deficits after acquired brain injury, to compare different training models of memory rehabilitation and to analyze the possible factors affecting memory rehabilitation. Methods 144 patients with acquired brain injury following memory deficits were randomly assigned to computer-assisted training group, face-to-face training group and control group. Both training groups were given memory-based cognitive training program once a day which sustained 30 minutes for 6 or 12 weeks. The instantaneous memory, short-term memory and long-term memory were evaluated and compared before and after training. The effect of gender, age, education, course, site of injury and coma time on training efficacy were analyszed as well. Results 6 weeks and 12 weeks at training, both computer-assisted and face-to-face training groups showed a significant improvement in memory abilities when compared to controls (P<0.01), with the former making more progress (P<0.01). Negative correlation was found between age and memory performance. Conclusion Effectiveness of memory rehabilitation is proven. 12 weeks training can significantly improve memory. Cognitive training using professional equipment is significantly more effective than the face-to-face training and should be recommended.

Objective To investigate the nursing clinical practice of ICU ventilator-associated pneumonia(VAP)prevention and control of tertiary hospitals in China,and analyze relevant countermeasures.Methods A self-designed questionnaire consisted of 3 parts and 26 items.A questionnaire survey was conducted among nurses in 380 ICUs in 194 tertiary hospitals in 26 provinces from September 1 to 15,2021,using the convenient sampling method.Results A total of 380 valid questionnaires were collected,with an effective rate of 100%.In the system process,369(97.11%)ICUs had files to prevent VAP;291(76.58%)ICUs had a checklist of measures to prevent VAP clustering;274(72.11%)ICUs had continuous improvement projects about VAP in the last 3 years.In the aspect of body position management,semi-decubitus position was the first choice for the patients with invasive mechanical ventilation of 338(88.95%)ICUs.For nursing operation,224(58.95%)ICUs used Subglottic suction,and 128(33.68%)among them used air shock to remove the retention on the balloon;normal saline is still routinely injected before sputum aspiration in 72(18.95%)ICUs.In terms of balloon pressure monitoring,253(66.58%)ICUs did the oral care 3-4 times a day.In the balloon pressure monitoring,313(82.37%)ICUs use airbag pressure gauges to intermittently monitor airbag pressure;293(77.11%)ICUs replaced the ventilator pipeline once a week.There are significant differences in the current practice status of different types of ICUs in terms of compliance strategies for bed head lifting,subglottic secretion drainage,airbag pressure monitoring,and oral care(P<0.05).Conclusion At present,the relevant systems and procedures to prevent VAP have been improved,but the specific prevention and control measures need to be further unified.Therefore,it is suggested to analyze the weak links of VAP nursing prevention and control practice in various medical structures,carry out relevant training and quality control for the weak links,and further improve the working mechanism of continuous quality improvement,thus effectively reduce the incidence of VAP.

The Coronavirus disease 2019 (COVID-19) epidemic has triggered a huge impact on healthcare, socioeconomics, and other aspects of the world over the past three years. An increasing number of studies have identified a complex relationship between COVID-19 and stroke, although active measures are being implemented to prevent disease transmission. Severe COVID-19 may be associated with an increased risk of stroke and increase the rates of disability and mortality, posing a serious challenge to acute stroke diagnosis, treatment, and care. This review aims to provide an update on the influence of COVID-19 itself or vaccines on stroke, including arterial stroke (ischemic stroke and hemorrhagic stroke) and venous stroke (cerebral venous thrombosis). Additionally, the neurovascular mechanisms involved in SARS-CoV-2 infection and the clinical characteristics of stroke in the COVID-19 setting are presented. Evidence on vaccinations, potential therapeutic approaches, and effective strategies for stroke management has been highlighted.
Humans ; COVID-19/complications* ; SARS-CoV-2 ; Stroke/therapy*