In order to further standardize the vaccination of kidney transplant candidates and recipients in China, the Branch of Organ Transplantation of Chinese Medical Association has organized experts in kidney transplantation and infectious diseases. Based on the "Vaccination of Solid Organ Transplant Candidates and Recipients: Guidelines from the American Society of Transplantation Infectious Diseases Community of Practice", and in combination with the clinical reality of infectious diseases and vaccination after organ transplantation in China, as well as referring to relevant recommendations from home and abroad in recent years, these guidelines are formulated from aspects such as epidemiology, types of vaccines, vaccination principles, target population, and specific vaccine administration. The "Guidelines for Vaccination of Kidney Transplant Candidates and Recipients in China" aims to provide theoretical reference for medical workers in the field of kidney transplantation in China, regarding the vaccination of kidney transplant candidates and recipients. It is expected to better guide the vaccination of kidney transplant candidates and recipients, reduce the risk of postoperative infection, and improve survival outcomes.

Objective: To analyze the status and trends of the disease burden of periodontal disease among women of reproductive age (15-49 years) in China from 1990 to 2021, and to provide a reference for the development of periodontal disease prevention and control strategies for women of reproductive age. Methods: Using the global burden of disease (GBD) data from 1990 to 2021, this study investigated the periodontal disease burden among women of reproductive age, including prevalence, incidence, disability-adjusted life years (DALYs), DALY rates, and their corresponding standardized indicators. Joinpoint 5.2.0.0 software was used for time trend analysis of DALYs, age-specific DALY rates, and annual average percentage change (AAPC) values. A log-linear regression model was used to test trends for DALYs and DALY rates. Results: Compared with 1990, the prevalence and incidence of periodontal disease among Chinese women in 2021 increased by 45.67% (per 100,000 people) and 29.29% (per 100,000 people), respectively. The distribution of periodontal disease among women (15-49 years) showed a continuous and rapid upward trend, with the growth rate increasing rapidly with age. The number of cases increased the fastest in the 45-49 age group, and the prevalence increased the fastest in the 35-44 age group. The incidence of periodontal disease continued to rise with age, with the fastest increase in the 35-44 age group among women of reproductive age. The Joinpoint regression model results showed that periodontal disease led to an expanding trend in the disease burden among women of reproductive age in China, with an AAPC of DALYs = 1.20% and an AAPC of DALY rate = 1.25% (P<0.001). Conclusion The periodontal disease burden among Chinese women aged 15-49 years showed a gradually increasing trend from 1990 to 2021.

ObjectiveTo explore whether fluoroethylnormemantine （FENM）， an NMDA receptor antagonist， could improve compulsive-like behaviors and to investigate its underlying mechanisms in the RU24969-induced obsessive-compulsive disorder （OCD） mouse model. MethodsThirty-two mice were randomly assigned to four groups： Saline （n=8）， RU24969 （n=8）， RU+FENM （n=8）， and FENM （n=8）. Mice received FENM or an equivalent volume of saline for pre-treatment， followed by RU24969 or saline for model induction 30 minutes later. Behavioral tests were performed 1 hour after modeling， and serum samples were collected to measure the level of brain-derived neurotrophic factor （BDNF）. Evans Blue dye was intravenously injected to assess dye content in brain tissue， thereby evaluating potential blood-brain barrier damage. ResultsFENM treatment significantly improved repetitive stereotyped circling behavior （F=39.850， P＜0.001） and alleviated persistent motor activity （F=50.200， P＜0.001） in RU24969 model mice. Additionally， FENM treatment significantly increased serum BDNF level in RU24969-induced OCD mice （F=18.930， P＜0.001）. ConclusionsFENM ， an NMDA receptor antagonist， may alleviate compulsive behaviors in OCD mice by modulating BDNF levels ， thereby exerting anti-compulsive effects. Neither the RU24969 model nor FENM treatment significantly affectes blood-brain barrier integrity.

Background Non-optimal temperatures pose significant threats to public health. Analyzing the association between temperature exposure and the number of emergency cases of acute alcohol intoxication can provide evidence for optimizing emergency resource allocation and response strategies. Objective To analyze the overall impact and lag effects of non-optimal temperatures on the number of 120 emergency calls for acute alcohol intoxication in Wuxi, and to assess the attributable risk, in order to provide empirical evidence for formulating climate-adaptive public health strategies. Methods Call records of acute alcohol intoxication from Wuxi's 120 emergency service, concurrent air pollutant data, and meteorological data (including daily mean temperature) were collected from January 1, 2014 to December 31, 2020. Distributed lag nonlinear modeling was used for time-series analysis, with cross-basis functions to capture the nonlinear relationship and lag effects between temperature and emergency volume. Confounding factors such as long-term trends, humidity, pollutants [ultimately including ozone (O₃) and fine particulate matter (PM_2.5)], day of the week, and holidays were controlled. The maximum lag period was set to 14 days. Single-day lag and cumulative lag effects of extreme temperatures were analyzed, followed by sensitivity analysis. Effects were quantified using relative risk (RR) and 95% confidence intervals (95%CI), and attributable fractions and numbers for different temperature ranges were calculated. Results A total of 10705 emergency cases of acute alcohol intoxication were included during the study period, with males accounting for 89.5% and individuals aged 18–50 years accounting for 83.4%. A non-linear "U-shaped" association was observed between daily mean temperature and the number of emergency calls, with an optimal temperature of 13.3 ℃. The effect of the extreme low temperature (1.88 ℃) was statistically significant from lag1 to lag3 after exposure (P<0.05), with the maximum effect at lag1 (RR=1.063, 95%CI: 1.002, 1.129). The extreme high temperature (32.3 ℃) showed an immediate effect, with maximum effect at lag0 (RR=1.374, 95%CI: 1.248, 1.512). The cumulative effect analysis showed that the risk associated with high temperature was the highest at lag0–3 (RR=2.000, 95%CI: 1.667, 2.399), while the risk associated with low temperature was the highest at lag0–14 (RR=1.462, 95%CI: 1.042, 2.051). The attribution analysis indicated that the mild heat (>24.7–30.8 ℃) and heat (>30.8–33.5 ℃) contributed the largest numbers of attributable cases, with 591 cases (95%CI: 56, 1032) and 190 cases (95%CI: 51, 309), respectively. The corresponding attributable fractions were 5.81% (95%CI: 0.80%, 9.94%) and 1.87% (95%CI: 0.49%, 2.96%), respectively. Conclusion Both extreme high and low temperatures significantly increase the number of 120 emergency calls for acute alcohol intoxication in Wuxi. High temperature exhibit an acute effect, while low temperature show a delayed effect. Mild heat have a significant impact on the emergency burden. It is recommended that emergency departments optimize resource allocation according to climatic characteristics and strengthen emergency responses during extreme weather to reduce alcohol-related health burden.

Ischemic stroke (IS) is a globally life-threatening disease. Presently, few therapeutic medicines are available for treating IS, and rt-PA is the only drug approved by the US Food and Drug Administration (FDA) in the US. In fact, many agents showing excellent neuroprotection but no blood flow-improving activity in animals have not achieved ideal clinical efficacy, while thrombolytic drugs only improving blood flow without neuroprotection have limited their wider application. To address these challenges and meet the huge unmet clinical need, we have designed and identified a novel compound AAPB with dual effects of neuroprotection and cerebral blood flow improvement. AAPB significantly reduced cerebral infarction and neural function deficit in tMCAO rats, pMCAO rats, and IS rhesus monkeys, as well as displayed exceptional safety profiles and excellent pharmacokinetic properties in rats and dogs. AAPB has now entered phase I of clinical trials fighting IS in China.

In the context of the complex and ever-changing spectrum of diseases, the traditional Chinese medicine compatibility of prescription and drugs is no longer able to fully meet the needs of clinical diagnosis and treatment. Therefore, this article is based on the diagnosis and treatment model of the combination of disease, syndrome, and symptom, combined with the development achievements of Western medicine, and explores the principles of formulating traditional prescriptions based on the combination of chief, deputy, assistant, and envoy. This article proposes a formulation principle of composing prescriptions with the diagnosis of syndrome as the chief, the diagnosis of disease as the deputy, the treatment of symptoms as the assistant, and the harmonization of medicine as the envoy. This forms a treatment plan with the core link of syndrome differentiation and treatment, disease differentiation and treatment, symptomatic treatment, detoxification, and efficacy enhancement. The purpose of this article is to address the current clinical challenges such as an increasing disease spectrum and the complexity of syndrome patterns and symptom clusters. It aims to provide new insights into traditional Chinese medicine clinical treatment plans and herbal formulation strategies, with the ultimate goal of improving the clinical effectiveness of traditional Chinese medicine.

BACKGROUND:Based on different algorithms of machine learning,how to carry out clinical research on lumbar disc herniation with the help of various algorithmic models has become a trend and hot spot in the development of intelligent medicine at present. OBJECTIVE:To review the characteristics of different algorithmic models of machine learning in the diagnosis and treatment of lumbar disc herniation,and summarize the respective advantages and application strategies of algorithmic models for the same purpose. METHODS:The computer searched PubMed,Web of Science,EMBASE,CNKI,WanFang,VIP and China Biomedical(CBM)databases to extract the relevant articles on machine learning in the diagnosis and treatment of lumbar disc herniation.Finally,96 articles were included for analysis. RESULTS AND CONCLUSION:(1)Different algorithm models of machine learning provide intelligent and accurate application strategies for clinical diagnosis and treatment of lumbar disc herniation.(2)Traditional statistical methods and decision trees in supervised learning are simple and efficient in exploring risk factors and establishing diagnostic and prognostic models.Support vector machine is suitable for small data sets with high-dimensional features.As a nonlinear classifier,it can be applied to the recognition,segmentation and classification of normal or degenerative intervertebral discs,and to establish diagnostic and prognostic models.Ensemble learning can make up for the shortcomings of a single model.It has the ability to deal with high-dimensional data and improve the precision and accuracy of clinical prediction models.Artificial neural network improves the learning ability of the model,and can be applied to intervertebral disc recognition,classification and making clinical prediction models.On the basis of the above uses,deep learning can also optimize images and assist surgical operations.It is the most widely used model with the best performance in the diagnosis and treatment of lumbar disc herniation.The clustering algorithm in unsupervised learning is mainly used for disc segmentation and classification of different herniated segments.However,the clinical application of semi-supervised learning is relatively less.(3)At present,machine learning has certain clinical advantages in the identification and segmentation of lumbar intervertebral discs,classification and grading of the degenerative intervertebral discs,automatic clinical diagnosis and classification,construction of the clinical predictive model and auxiliary operation.(4)In recent years,the research strategy of machine learning has changed to the neural network and deep learning,and the deep learning algorithm with stronger learning ability will be the key to realizing intelligent medical treatment in the future.

Objective:To investigate the clinical value of neuroendoscopic resection in recurrent or residual sellar and clivus tumors and the prevention and treatment of operative complications.Methods:A retrospective study was performed. Clinical data of 49 patients with residual or recurrent sellar and clivus tumors after neuroendoscopic resection in Department of Neurosurgery, First Affiliated Hospital of Sun Yat-sen University from November 2021 to October 2023 were collected; 45 patients were with pituitary adenoma, 3 were with craniopharyngioma, and 1 patient was with clivus chordoma; their surgical efficacy and complications were summarized and analyzed.Results:Total resection was achieved in 29 patients (59.2%), subtotal resection in 12 (24.5%), and partial resection in 8 (16.3%). Two patients (4.1%) had intraoperative internal carotid artery rupture and were given emergency laminar stenting, discharging with good recovery, but one of them left with unilateral motor nerve palsy. During 1-24 months of follow-up, 97.2% patients (35/36) had headache relief and visual acuity improvement, and no patient had permanent diabetes insipidus or cerebrospinal fluid rhinorrhea. Residual tumors increased in 3 patients (6.1%); no tumor recurrence after total resection was noted.Conclusion:Endoscopic resection of recurrent or residual sellar and clivus tumors is safe and effective; attention should be paid to the internal carotid artery during the operation.

Objective To investigate the current status of nurses'knowledge,attitude and practice regarding sleep management of critically ill children in pediatric ICU,and to analyze its impact factors.Methods A self-designed questionnaire on general information and a questionnaire on knowledge and practical behaviors of pediatric ICU nurses on child's sleep management were used.In March 2023,902 pediatric ICU nurses from 24 hospitals in China were surveyed using a convenient sampling method,and the impact factors were analyzed using multiple stepwise linear regression.Results 893 valid questionnaires were collected and the recovery rate of valid questionnaires was 99.00％.Nurses in pediatric ICU scored(33.71±7.76)in knowledge dimension,(37.38±4.86)in attitude dimension and(80.60±16.78)in practice dimension,with a total score of(151.78±24.27).The scores of knowledge and attitude,knowledge and practice,attitude and practice are all positively correlated(r=0.393,P＜0.001;r=0.495,P＜0.001;r=0.320,P＜0.001).The results of multiple stepwise linear regression analysis showed that gender,region,whether they had received sleep management training were the influencing factors of pediatric ICU nurses'total score of knowledge,attitude and practice towards children's sleep management(P＜0.05).Conclusion Nurses in pediatric ICU are positive about sleep management for critically ill children,but their knowledge and practice levels need to improve.Nursing managers should strengthen the theoretical knowledge and practical behavioral training of pediatric ICU nurses on child sleep management,develop scientific sleep management plans,and guide nurses to make reasonable evaluation and interventions to improve children's sleep quality.

Objective To design a storage device for lymph node specimens of gynecological malignant tumors and to evaluate its application effect.Methods The specimen depository is composed of 3 parts,including storage frame,partition plate and marking plate.391 patients with gynecological malignant tumor surgeries requiring collection of retroperitoneal lymph nodes were selected in the operating room of a tertiary A hospital in Zhejiang Province from January to December 2022 in accordance with the operation schedule.They were randomly divided into an experimental group(n=196)and a control group(n=195).Patients in the experimental group used a newly developed storage device,while the control group was with traditional device.The incidence of additional verification specimens by doctors,the average time for disposing of lymph node specimens,and the job satisfaction survey of doctors and nurses were compared.Results Within a period of 12 months after utilizing this easily recognizable specimen storage device,the additional verification rate in the experimental group was 10.62％compared with the rate of 72.48％in the control group.The average time of disposing lymph node specimens was reduced from(8.3±0.9)to(5.2±0.3)minutes.Doctors and nurses in the experimental group reported a higher level of satisfaction for the specimen storage device(P＜0.05).Conclusion Utilizing the newly designed specimen storage device can help medical staff to alleviate their workload,enhance their work efficiency,raise their job satisfaction,and ensure the accuracy of pathological results.