OBJECTIVE: To evaluate the safety and efficacy of catheter-directed thrombolysis (CDT) versus systemic thrombolysis (ST) in the treatment of pulmonary embolism (PE). METHODS: The Cochrane Library, PubMed, and Embase databases were searched to collect the literature on the comparison of the results of CDT and ST in the treatment of PE from the beginning of their records to May 2020, and meta-analysis was performed by STATA software (version 15.1). Using standardized data-collection forms, the authors screened the studies and independently extracted data, and assessed the quality of the studies using the Newcastle-Ottawa Scale for cohort studies. Cohort studies that examined the following results were included in the current study: in-hospital mortality, all-cause bleeding rate, gastrointestinal bleeding rate, intracranial hemorrhage rate, the incidence of shock, and hospital length of stay. RESULTS: A total of eight articles, with 13,242 participants, involving 3962 participants in the CDT group and 9280 participants in the ST group were included. CDT compared with ST in the treatment of PE can significantly affect in-hospital mortality rate [odds ratio (OR) = 0.41, 95% CI: 0.30-0.56, P < 0.05], all-cause bleeding rate (OR = 1.20, 95% CI: 1.04-1.39, P = 0.012), gastrointestinal bleeding rate (OR = 1.43, 95% CI: 1.13-1.81, P = 0.003), the incidence of shock (OR = 0.46, 95% CI: 0.37-0.57, P < 0.05), and hospital length of stay [standard mean difference (SMD) = 0.16, 95% CI: 0.07-0.25, P < 0.05]. However, there was no significant effect on intracranial hemorrhage rate in patients with PE (OR = 0.70, 95% CI: 0.47-1.03, P = 0.070). CONCLUSIONS CDT is a viable alternative to ST in the treatment of PE, as it can significantly reduce in-hospital mortality rate, all-cause bleeding rate, gastrointestinal bleeding rate, and incidence of shock. However, CDT may prolong hospital length of stay to a certain extent. Further research is needed to evaluate the safety and efficacy of CDT and ST in the treatment of acute PE and other clinical outcomes.

In China, the current standard for cosmetic adverse reactions related skin disease (GB/T 17149.1-1997) was jointly issued by the Ministry of Health and the State Bureau of Technical Supervision in 1997, cosmetic-allergic adverse reactions include allergic contact dermatitis and photo-allergic contact dermatitis according to this standard. The increasing use and changes in cosmetic ingredients or formula lead to a significant increase for the incidence of adverse reactions as the cosmetics industry is developing rapidly in the last 20 years. In the meantime, the clinical manifestations have become more diverse. In recent years, there have been many reports on the special manifestations for cosmetic allergy and allergen test, which provide a reference for the subsequent improvement of the diagnosis and prevention.
Humans ; Patch Tests/adverse effects* ; Dermatitis, Allergic Contact/therapy* ; Cosmetics/adverse effects* ; China ; Incidence ; Allergens/adverse effects*

Objective: To develop a multi-classification orthodontic image recognition system using the SqueezeNet deep learning model for automatic classification of orthodontic image data. Methods: A total of 35 000 clinical orthodontic images were collected in the Department of Orthodontics, Capital Medical University School of Stomatology, from October to November 2020 and June to July 2021. The images were from 490 orthodontic patients with a male-to-female ratio of 49∶51 and the age range of 4 to 45 years. After data cleaning based on inclusion and exclusion criteria, the final image dataset included 17 453 face images (frontal, smiling, 90° right, 90° left, 45° right, and 45° left), 8 026 intraoral images [frontal occlusion, right occlusion, left occlusion, upper occlusal view (original and flipped), lower occlusal view (original and flipped) and coverage of occlusal relationship], 4 115 X-ray images [lateral skull X-ray from the left side, lateral skull X-ray from the right side, frontal skull X-ray, cone-beam CT (CBCT), and wrist bone X-ray] and 684 other non-orthodontic images. A labeling team composed of orthodontic doctoral students, associate professors, and professors used image labeling tools to classify the orthodontic images into 20 categories, including 6 face image categories, 8 intraoral image categories, 5 X-ray image categories, and other images. The data for each label were randomly divided into training, validation, and testing sets in an 8∶1∶1 ratio using the random function in the Python programming language. The improved SqueezeNet deep learning model was used for training, and 13 000 natural images from the ImageNet open-source dataset were used as additional non-orthodontic images for algorithm optimization of anomaly data processing. A multi-classification orthodontic image recognition system based on deep learning models was constructed. The accuracy of the orthodontic image classification was evaluated using precision, recall, F1 score, and confusion matrix based on the prediction results of the test set. The reliability of the model's image classification judgment logic was verified using the gradient-weighted class activation mapping (Grad-CAM) method to generate heat maps. Results: After data cleaning and labeling, a total of 30 278 orthodontic images were included in the dataset. The test set classification results showed that the precision, recall, and F1 scores of most classification labels were 100%, with only 5 misclassified images out of 3 047, resulting in a system accuracy of 99.84%(3 042/3 047). The precision of anomaly data processing was 100% (10 500/10 500). The heat map showed that the judgment basis of the SqueezeNet deep learning model in the image classification process was basically consistent with that of humans. Conclusions: This study developed a multi-classification orthodontic image recognition system for automatic classification of 20 types of orthodontic images based on the improved SqueezeNet deep learning model. The system exhibitted good accuracy in orthodontic image classification.
Humans ; Male ; Female ; Child, Preschool ; Child ; Adolescent ; Young Adult ; Adult ; Middle Aged ; Deep Learning ; Reproducibility of Results ; Radiography ; Algorithms ; Cone-Beam Computed Tomography

Polymyxin B, which is a last-line antibiotic for extensively drug-resistant Gram-negative bacterial infections, became available in China in Dec. 2017. As dose adjustments are based solely on clinical experience of risk toxicity, treatment failure, and emergence of resistance, there is an urgent clinical need to perform therapeutic drug monitoring (TDM) to optimize the use of polymyxin B. It is thus necessary to standardize operating procedures to ensure the accuracy of TDM and provide evidence for their rational use. We report a consensus on TDM guidelines for polymyxin B, as endorsed by the Infection and Chemotherapy Committee of the Shanghai Medical Association and the Therapeutic Drug Monitoring Committee of the Chinese Pharmacological Society. The consensus panel was composed of clinicians, pharmacists, and microbiologists from different provinces in China and Australia who made recommendations regarding target concentrations, sample collection, reporting, and explanation of TDM results. The guidelines provide the first-ever consensus on conducting TDM of polymyxin B, and are intended to guide optimal clinical use.
Humans ; Anti-Bacterial Agents/therapeutic use* ; China ; Drug Monitoring/methods* ; Polymyxin B ; Practice Guidelines as Topic

The twenty-first century has already recorded more than ten major epidemics or pandemics of viral disease, including the devastating COVID-19. Novel effective antivirals with broad-spectrum coverage are urgently needed. Herein, we reported a novel broad-spectrum antiviral compound PAC5. Oral administration of PAC5 eliminated HBV cccDNA and reduced the large antigen load in distinct mouse models of HBV infection. Strikingly, oral administration of PAC5 in a hamster model of SARS-CoV-2 omicron (BA.1) infection significantly decreases viral loads and attenuates lung inflammation. Mechanistically, PAC5 binds to a pocket near Asp49 in the RNA recognition motif of hnRNPA2B1. PAC5-bound hnRNPA2B1 is extensively activated and translocated to the cytoplasm where it initiates the TBK1-IRF3 pathway, leading to the production of type I IFNs with antiviral activity. Our results indicate that PAC5 is a novel small-molecule agonist of hnRNPA2B1, which may have a role in dealing with emerging infectious diseases now and in the future.
Animals ; Mice ; Antiviral Agents/pharmacology* ; COVID-19 ; Hepatitis B virus ; Interferon Type I/metabolism* ; SARS-CoV-2/drug effects* ; Heterogeneous-Nuclear Ribonucleoprotein Group A-B/antagonists & inhibitors*

Objective:Based on the artificial intelligence (AI) technology in endoscopy and the internet platform, to explore and construct a safe, standardized, scientific and rigorous database for digestive endoscopy, and to provide reference and evidence for the data quality control of AI in digestive endoscopy in China.Methods:After referring to relevant guidelines and standards, data collection and labelling standards of digestive endoscopy of 12 common gastrointestinal diseases were determined. The software of online collection and labelling of multi-center digestive endoscopy data in Shandong Province was developed. Endoscopic equipment with a domestic market share of >5% was used and dozens of experienced endoscopists from 9 medical centers in Shandong Province were uniformly trained for data labelling. From July 2019 to July 2020, the endoscopic examination data from 9 medical centers including Qilu Hospital of Shandong University, Shandong Provincial Hospital , Liaocheng People′s Hospital, Linyi People′s Hospital, Weihai Municipal Hospital, Taian City Central Hospital, Binzhou Medical University Hospital, Yantai Yuhuangding Hospital and Qilu Hospital of Shandong University (Qingdao) were prospectively and continuously collected and labeled. The optimized, desensitized, and generalized data were uploaded to the server. After the file synchronization, data processing, and expert review, a multi-center digestive endoscopy AI database with standard data collection and labelling in Shandong Province was constructed, namely cloud platform. Descriptive methods were used for statistical analysis.Results:The collection and labelling standards for multi-center digestive endoscopy AI data in Shandong province was established. The software of online collection and labelling of multi-center digestive endoscopy AI data in Shandong province was developed. The database in Shandong province was successfully constructed. In the database, 43 010 lesions, 40 353 images, and 11 289 examinations were labeled. Among them, there were 2 906 cases of early esophageal cancer, 2 912 cases of early gastric cancer, 2 397 cases of early colorectal cancer, and 9 773 cases of colorectal polyps (5 539 cases of adenomatous polyps, 1 161 cases of non-adenomatous polyps and 3 073 case of undetermined polyps).Conclusions:The multi-center AI cloud platform for digestive endoscopy in Shandong Province adopts unified standards and collection and labeling software, which ensures the safety and standardization of endoscopy data. It provides a reference and basis for the construction of a quality control system for standardized data collection and labelling of digestive endoscopy AI data in our country and for the third-party data supervision.

With the aging process of population in the society, the prevalence of cardiovascular diseases (CVD) in China is increasing continuously and the number of dental patients with CVD is increasing gradually too. Due to the lack of guidelines for dental patients with CVD in our country, how to implement standardized preoperative evaluation and perioperative risk prevention remains a problem to be solved for dentists at present. The present expert consensus was reached by combining the clinical experiences of the expert group of the Fifth General Dentistry Special Committee, Chinese Stomatological Association and respiratory and cardiology experts in diagnosis and treatment for CVD patients, and by systematically summarizing the relevant international guidelines and literature regarding the relationship between CVD and oral diseases and the diagnosis and treatment of dental patients with heart failure, hypertension and antithrombotic therapy. The consensus aims to provide, for the dental clinicians, the criteria on diagnosis and treatment of CVD in dental patients in China so as to reduce the risk and complications, and finally to improve the treatment levels of dental patients with CVD in China.
Cardiovascular Diseases/prevention & control* ; China/epidemiology* ; Consensus ; Dental Care ; Humans ; Oral Medicine

There are a series of deficiencies in traditional courses teaching, such as outdated teaching ideas and objectives, insufficient teaching ability and resources, low degree of information technology integration, limited space and time in classroom and knowledge in textbooks, and ignoring the cultivation of students' ideological and political literacy and comprehensive ability. Our biochemistry teaching team promoted an all-round curriculum reform from the aspects of the teaching concept and goal, charm and ability, platform and resource, knowledge system, teaching time and space, teaching mode, ideological and political education, and achievement evaluation system. By establishing " all-around cultivation, student-centered, outcome-based, open & sharing" teaching ideas, improving team charm and ability, enriching high quality of curriculum platform and resources, building a new ideological and political cultivation model of "teaching + research h+ practice", a new "3+X" compound knowledge system, a new teaching model integrated ideological and political cultivation, a multi-dimensional processing evaluation system, the course of biochemistry highlights the typical characteristics of "first-class course", which are high-level, innovation and challenge. Our course has been recognized as a national first-class course and provincial model course of ideological and political cultivation. As a result, students' ideological and political literacy, course performance and comprehensive ability improved significantly. The reform and innovation of curriculum teaching have realized the organic synergy of value shaping, knowledge imparting and ability training.

Objective:To investigate the clinical characteristics of patients with lymphoplasmacytic lymphoma/Waldenstr?m macroglobulinemia (LPL/WM), and the diagnosis and optimal treatment of LPL/WM.Methods:The clinical data of 13 LPL/WM patients treated in Zhongnan Hospital of Wuhan University from January 2013 to June 2018 were retrospectively analyzed, and the literature was reviewed.Results:The median age of 13 patients was 60 years old (35-79 years old). There were 12 males and 1 female. Initial symptom was fatigue or edema of both lower limbs for majority of patients. All patients had immunoglobulin M (IgM) monoclonal, 3 of them had elevated immunoglobulin G (IgG) level, including 1 patient with monoclonal IgG. LDH was increased in 2 patients. Coombs test was positive in 5 patients. MyD88 gene mutation status was detected in 8 patients, of which gene mutation in 5 patients was positive. Among 13 patients, 1 patient lost follow-up, 3 patients died, 9 patients were alive with the median survival of 36 months (19-81 months).Conclusions:Incidence of LPL/WM is relatively low with a generally indolent evolution, but heterogeneity is not negligible. Few patients have poor treatment response with a quick disease progress. The high-risk patients undergoing hematopoietic stem cell transplantation after remission-induction chemotherapy may improve the prognosis.