Objective:To explore the feasibility, safety, and effectiveness of a novel suture instrument for closure of full thickness defects of the gastric wall under gastroscopy.Methods:Ten pigs were used as experimental animals. Perforation model (30 mm in long diameter) was created in the stomach of each pig. The perforations were then closed by the novel suture instrument under gastroscopy. The completion time and efficacy of each perforation repair were recorded. The pigs were euthanized 14 days after the procedure. The healing condition was observed under gastroscopy. A postmortem examination was performed to observe the abdominal infection and healing condition of perforation. Ascites sample was taken for bacterial culture.The stomach biopsy were taken for histopathologic examination.Results:All gastric perforation models in the 10 pigs were established successfully. Endoscopic closure for the stomach perforation was technically successful in all 10 pigs. The procedure time was 34.10±10.32 minutes. All animals survived. Gastroscopy and necropsy showed that the perforation healed well with local adhesion. One pig developed abdominal infection. Ascites culture were negative in 9 cases, 1 bacterial infection was caused by Arcanobacterium pyogenes and Escherichiacoli. The pathology results showed that the muscular layer of the gastric wall defect in the entire group was well repaired. Conclusion:The novel suture instrument is safe and effective in repairing full-thickness gastric wall defects under ordinary single clamp gastroscopy, providing an experimental basis for further clinical research.

The integration of multi-source data and the establishment of early warning indicator systems constitute pivotal elements for advancing surveillance and early warning capacities in respiratory infectious diseases. Given the multifaceted transmission mechanisms and complex contributing factors inherent in respiratory infectious diseases, surveillance datasets and associated early warning indicators demonstrate notable heterogeneity and sophisticated interrelationships. Furthermore, as surveillance and early warning requirements significantly vary across diverse epidemiological scenarios, accurate assessment of the value and applicability of distinct data types and indicators is imperative. This paper systematically reviews and synthesizes recent advancements in surveillance data and early warning indicators for respiratory infectious diseases, drawing on both domestic and international research. Particular attention is dedicated to analyzing the applicability and efficacy of various data types and indicators within multiple practical contexts, aiming to provide robust theoretical frameworks and methodological guidance to facilitate the development of resilient and efficient surveillance and early warning systems for respiratory infectious diseases.

Objective:To investigate the characteristics of resting-state mirror homotopic connectivity and the gray matter volume of brain in patients with neuropsychiatric systemic lupus erythematosus (NPSLE).Methods:From June 2020 to March 2023, a total of 35 NPSLE patients (NPSLE group) and 30 non-NPSLE patients (non-NPSLE group) were selected from Taizhou People's Hospital Affiliated to Nanjing Medical University, another 31 healthy volunteers were recruited as the healthy controls(HC group). All participants underwent resting-state functional magnetic resonance imaging (rs-fMRI) and mini-mental state examination (MMSE) assessments. The patients in NPSLE and non-NPSLE groups were additionally assessed using the fatigue scale for motor and cognitive functions (FSMC) and the hospital anxiety and depression scale (HADS).The DPABI V7.0 toolkit based on the MATLAB platform was used to preprocess the rs-fMRI data and calculate the voxel-mirrored homotopic connectivity(VMHC) indexes, and the differences in VMHC between groups were evaluated by covariance analysis in SPM12.0 software, and the VMHC values of brain regions with significant differences were extracted for further comparison between the two groups.Partial correlation analysis was performed to investigate the association between VMHC values and clinical parameters in NPSLE patients.The brain regions with significant differences between NPSLE patients and non-NPSLE patients were used as region of interest (ROI), and gray matter volumes within these ROIs were then calculated by VBM8 toolbox.Results:(1)There were statistically significant differences in the VMHC values of bilateral precentral gyrus, bilateral dorsolateral superior frontal gyrus, bilateral medial and paracingulate gyrus, bilateral parahippocampal gyrus, bilateral middle occipital gyrus, bilateral postcentral gyrus, and bilateral superior temporal gyrus among the 3 groups( F=11.246-14.102, all P<0.05). The NPSLE group exhibited significantly lower VMHC values in these regions compared to both the non-NPSLE group and HC group (all P<0.05), but there were no significant differences in these regions between the non-NPSLE group and HC group (all P>0.05).(2) The gray matter volumes of bilateral dorsolateral superior frontal gyrus(right: (0.57±0.11)mm 3, (0.65±0.08)mm 3, t=-3.409, P=0.001; left: (0.53±0.10)mm 3, (0.60±0.07)mm 3, t=-3.082, P=0.003), bilateral precentral gyrus(right: (0.32±0.06)mm 3, (0.35±0.04)mm 3, t=-2.044, P=0.045; left: (0.39±0.06)mm 3, (0.42±0.04)mm 3, t=-2.505, P=0.015), right medial and paracingulate gyrus((0.66±0.08)mm 3, (0.70±0.07)mm 3, t=-2.491, P=0.015) and left superior temporal gyrus((0.57±0.09)mm 3, (0.61±0.06)mm 3, t=- 2.344, P=0.022) in the NPSLE group were smaller than those of non-NPSLE group.(3)Correlation analysis showed that the VMHC value of dorsolateral superior frontal gyrus was positively correlated with IgA level in NPSLE patients ( r=0.353, P=0.047). Conclusion:Patients with NPSLE generally have decreased mirror homotopy functional connectivity in the cerebral hemispheres, accompanied by a decrease in gray matter volume in some brain regions, which can provide a certain neuroimaging basis for the pathogenesis of brain injury.

Objective:To investigate the awareness of medical staff on pharmacovigilance and the current situation of the construction of pharmacovigilance system in medical institutions.Methods:A self-designed questionnaire was sent to medical institutions in China through Professional Committee on Pharmacovigilance Research, China Society for Drug Regulation in the form of Wechat, and medical staff participated voluntarily. The contents of the questionnaire included 23 questions in 4 dimensions, including the basic information of the respondents, their understanding of the concept and regulations of pharmacovigilance, the management of pharmacovigilance, and the reporting and feedback of adverse drug reactions(ADRs)/events in their medical institutions. The survey time was from August 18, 2023 to October 18, 2023. The data from the questionnaire were analyzed descriptively.Results:The collected questionnaires were from medical institutions in 31 provinces, autonomous regions, and municipalities directly under the central government, with a total of over 100 questionnaires collected in each region. A total of 10 991 medical staff participated in the survey, including 5 504 pharmacists, 2 120 doctors, and 3 367 nurses. Among them, 10 131 (92.18%) respondents had heard of pharmacovigilance, 4 511 (41.04%) had participated in pharmacovigilance-related works, 9 368 respondents (86.41%) answered that the ADRs monitoring and management system had been established in medical institutions where they worked, 8 186 respondents (75.51%) answered that leading group for pharmacovigilance (including ADRs monitoring) had been set up in the medical institutions where they worked, 8 605 respondents (79.37%) answered that the pharmacovigilance works was managed by special personnel in the institutions where they worked, 7 859 (72.49%) answered that there were liaison officers in the clinical departments where they worked, 6 043 (55.74%) answered that the individuals would be rewarded for reporting ADRs, 4 809 (44.36%) answered that pharmacovigilance had been included in the daily works and assessment indicators of the departments, and 5 351 (49.36%) answered that reports of ADRs were reviewed by special personnel. Active reporting by medical staff was the main collection channel of ADRs, 3 391 (31.28%) answered they had actively captured ADRs from the hospital information system, and 7 728 (71.28%) answered they had reported ADRs through the hospital information system, 10 061 (92.81%) answered that the monitoring results of ADRs would be regularly fed back in the hospitals where they worked, and 6 239 (57.55%) answered that regular training on pharmacovigilance for all medical staff would be provided in the institutions where they worked.Conclusions:Medical staff have generally heard of pharmacovigilance and are aware of the national pharmacovigilance system, but they still have insufficient understanding of the concept and regulations of pharmacovigilance. The degree of participating in pharmacovigilance works of medical staff in different regions are different. The monitoring and management of ADRs could be paid attention to in the most medical institutions, but the degree of improvement of pharmacovigilance system in different levels of medical institutions is different.

The prevention and control of emerging and reemerging infectious diseases are crucial for national biosecurity, and surveillance and reporting of pneumonia of unknown etiology are main ways for the early detection of these diseases and mitigation of their severity. This paper summaries the surveillance methods for pneumonia of unknown etiology and emerging and reemerging infectious diseases globally, indicating that such surveillance is mainly conducted based on hospital. Western countries primarily combine active and passive surveillance while utilizing artificial intelligence technology to rapidly identify cases. China mainly use passive surveillance based on the surveillance system for pneumonia of unknown etiology, with the function of early warning in the identification of emerging infectious diseases, such as avian influenza. However, with the improvement in the surveillance system operation, the overlap with other surveillance disease systems, such as influenza, has occurred, and the improvements in case definition and operational protocol are needed. It is recommended to improve the specificity of the case definition, strenthen training in hospital staff, inclduing clinical workers and office workers, and formulate incentive mechanisms. It is necessary to emphasize the responsibility of clinicians as the main force for the detection and reporting of pneumonia of unknown etiology and emerging infectious diseases, improve the appilication of artifical intelligent technique and conduct multi-source surveillance, such as third-party testing.

With the change of infectious disease incidence pattern and the development of related technologies, progresses have been made in the research of infectious disease epidemiology. In recent years, due to the change in the requirements of infectious disease prevention and control, the research focus has expanded from common infectious diseases to diseases which have been eliminated or might be eliminated, as well as emerging and re-emerging infectious diseases. Infectious disease data has been characterized by multiple sources and modalities. Along with the rapid development of pathogen detection methods, infectious disease surveillance has shifted from a single disease-targted one to a comprehensive one. Moreover, novel technologies such as multi-omics and artificial intelligence have been applied in infectious disease epidemiology research. The international cooperation in this field has become increasingly crucial, and the revision of the International Health Regulations and the negotiation of pandemic agreement will have a profound impact. In the future, infectious disease epidemiology research will develop with more powerful tools to improve its capabilities.

The integration of multi-source data and the establishment of early warning indicator systems constitute pivotal elements for advancing surveillance and early warning capacities in respiratory infectious diseases. Given the multifaceted transmission mechanisms and complex contributing factors inherent in respiratory infectious diseases, surveillance datasets and associated early warning indicators demonstrate notable heterogeneity and sophisticated interrelationships. Furthermore, as surveillance and early warning requirements significantly vary across diverse epidemiological scenarios, accurate assessment of the value and applicability of distinct data types and indicators is imperative. This paper systematically reviews and synthesizes recent advancements in surveillance data and early warning indicators for respiratory infectious diseases, drawing on both domestic and international research. Particular attention is dedicated to analyzing the applicability and efficacy of various data types and indicators within multiple practical contexts, aiming to provide robust theoretical frameworks and methodological guidance to facilitate the development of resilient and efficient surveillance and early warning systems for respiratory infectious diseases.

The prevention and control of emerging and reemerging infectious diseases are crucial for national biosecurity, and surveillance and reporting of pneumonia of unknown etiology are main ways for the early detection of these diseases and mitigation of their severity. This paper summaries the surveillance methods for pneumonia of unknown etiology and emerging and reemerging infectious diseases globally, indicating that such surveillance is mainly conducted based on hospital. Western countries primarily combine active and passive surveillance while utilizing artificial intelligence technology to rapidly identify cases. China mainly use passive surveillance based on the surveillance system for pneumonia of unknown etiology, with the function of early warning in the identification of emerging infectious diseases, such as avian influenza. However, with the improvement in the surveillance system operation, the overlap with other surveillance disease systems, such as influenza, has occurred, and the improvements in case definition and operational protocol are needed. It is recommended to improve the specificity of the case definition, strenthen training in hospital staff, inclduing clinical workers and office workers, and formulate incentive mechanisms. It is necessary to emphasize the responsibility of clinicians as the main force for the detection and reporting of pneumonia of unknown etiology and emerging infectious diseases, improve the appilication of artifical intelligent technique and conduct multi-source surveillance, such as third-party testing.

With the change of infectious disease incidence pattern and the development of related technologies, progresses have been made in the research of infectious disease epidemiology. In recent years, due to the change in the requirements of infectious disease prevention and control, the research focus has expanded from common infectious diseases to diseases which have been eliminated or might be eliminated, as well as emerging and re-emerging infectious diseases. Infectious disease data has been characterized by multiple sources and modalities. Along with the rapid development of pathogen detection methods, infectious disease surveillance has shifted from a single disease-targted one to a comprehensive one. Moreover, novel technologies such as multi-omics and artificial intelligence have been applied in infectious disease epidemiology research. The international cooperation in this field has become increasingly crucial, and the revision of the International Health Regulations and the negotiation of pandemic agreement will have a profound impact. In the future, infectious disease epidemiology research will develop with more powerful tools to improve its capabilities.

INTRODUCTION: Radiofrequency ablation (RFA) avoids the complications of general anaesthesia, reduces length of hospitalisation and reduces morbidity from surgery. As such, it is a strong alternative treatment for patients with comorbidities who are not surgical candidates. However, to our knowledge, there have only been 1 systematic review and 3 combined systematic review and meta-analyses on this topic to date. This systematic review and meta-analysis seeks to evaluate the efficacy and safety of RFA in the treatment of papillary thyroid carcinoma (PTC) with longer follow-up durations. METHOD: PubMed, Embase and Cochrane databases were searched for relevant studies published from 1990 to 2021; 13 studies with a total of 1366 patients were included. The Preferred Reporting Items for Systematic reviews and Meta-Analyses guidelines and Sandelowski et al.'s approach1 to "negotiated consensual validation" were used to achieve consensus on the final list of articles to be included. All authors then assessed each study using a rating scheme modified from the Oxford Centre for Evidence-Based Medicine. RESULTS: Pooled volume reduction rates (VRRs) from 1 to 48 months after RFA, complete disappearance rates (CDR) and complications were assessed. Pooled mean VRRs were 96.59 (95% confidence interval [CI] 91.05-102.13, I2=0%) at 12 months2-6 and 99.31 (95% CI 93.74-104.88, I2=not applicable) at 48 months.2,5 Five studies showed an eventual CDR of 100%.2,4,7-9 No life-threatening complications were recorded. The most common complications included pain, transient voice hoarseness, fever and less commonly, first-degree burn. CONCLUSION RFA may be an effective and safe alternative to treating PTC. Larger clinical trials with longer follow-up are needed to further evaluate the effectiveness of RFA in treating PTC.
Humans ; Radiofrequency Ablation/methods* ; Thyroid Cancer, Papillary/surgery* ; Thyroid Neoplasms/surgery* ; Treatment Outcome ; Postoperative Complications/etiology*