1.Expert Consensus on Neurocritical Care Monitoring and Management in Beijing and Tibet(2025)
Drolma PHURBU ; Wenjin CHEN ; Heng ZHANG ; Jian ZHANG ; Xiaomeng WANG ; Guoying LIN ; Wenjun PAN ; Xiying GUI ; Xin CAI ; Chodron TENZIN ; Jianlei FU ; Qianwei LI ; TSEYANG ; Yijun LIU ; Bo LIU ; Tsering DROLMA ; Yudron SONAM ; KYILV ; Samdrup TSERING ; Wa DA ; Juan GUO ; Cheng QIU ; Huan CHEN ; Xiaoting WANG ; Yangong CHAO ; Dawei LIU ; Wenzhao CHAI ; Chenggong HU ; Wanhong YIN ; Shihong ZHU
Medical Journal of Peking Union Medical College Hospital 2026;17(1):59-72
Neurocritical care involves complex pathophysiological mechanisms, and its incidence is higher, injuries are more severe, and treatment is more challenging in high-altitude environments. This consensus, based on the latest domestic and international evidence-based medical data, establishes a standardized, goal-oriented framework for neurocritical care management applicable in high-altitude regions and nationwide. The consensus was developed following international standards for evidence quality assessment and underwent two rounds of Delphi expert consultation, resulting in 32 recommendation statements covering three parts: management systems, monitoring and assessment, and core strategies. Key updates include: advocating for the establishment of independent neurocritical care units and implementing precise tiered diagnosis and treatment based on the "Five Differences in Critical Care" concept; constructing a "trinity" multimodal brain monitoring system centered on cerebral blood flow, cerebral oxygenation, and brain function, emphasizing routine bedside transcranial Doppler ultrasound, cerebral oximetry, and continuous electroencephalography monitoring; shifting management strategies from mild hypothermia therapy to targeted temperature management, and defining the "446" target management pathway for the supercritical stage; emphasizing the assessment of static and dynamic cerebrovascular autoregulation functions through multimodal methods to achieve individualized optimal mean arterial pressure management; elevating cerebrospinal fluid management goals to the level of "glymphatic system" function maintenance; implementing a multidisciplinary collaborative, whole-process management model focusing on patients' long-term neurological functional outcomes; de-escalation criteria include multidimensional indicators such as recovery of brain structure, restoration of cerebrovascular autoregulation, improvement in cerebrospinal fluid dynamics, and reduction in biomarker levels; and integrating cutting-edge technologies like artificial intelligence into post-critical care management and rehabilitation planning. This consensus systematically integrates the entire process of neurocritical care management, reflecting the modern connotation of goal-oriented, dynamic, and multimodal integration in neurocritical care medicine. It aims to adapt to new trends such as deepening understanding of pathophysiological mechanisms, the integration of medicine and engineering, and the empowerment of artificial intelligence, thereby further advancing the discipline of critical care medicine.
2.Incremental effectiveness of two-dose of mumps-containing vaccine in chidren
Chinese Journal of School Health 2025;46(6):883-887
Objective:
To evaluate the incremental vaccine effectiveness (VE) of two dose of the mumps containing vaccine (MuCV) in chidren, so as to provide a basis for optimizing mumps immunization strategies.
Methods:
A 1∶2 frequency matched case-control study was conducted by using reported mumps cases in childcare centers or schools from Lu an, Hefei, Ma anshan and Huainan cities of Anhui Province from September 1, 2023 to June 30, 2024, as a case group(383 cases). And healthy children in the same classroom were selected as a control group(766 cases). The MuCV immunization histories of participants were collected to estimate the incremental VE of the second dose of MuCV against mumps. Group comparisons were performed using the Chi square test or t-test. For matched case-control pairs, the Cox regression model was employed to calculate the odds ratio (OR) with 95% confidence interval (CI) for two dose MuCV vaccination and to estimate the incremental vaccine effectiveness (VE).
Results:
There were no statistically significant differences between the case and control groups regarding gender, age, dosage of MuCV vaccination and the time interval since the last dose vaccination( χ 2/t=0.05, 0.20, 0.94, -0.02, P >0.05). The proportions of the case and control groups vaccinated with two doses of MuCV were 26.63% and 29.37%, respectively, and the overall incremental VE of the second dose of MuCV was 40.73% (95% CI=3.03%-63.77%, P <0.05). Subgroup analyses revealed that the incremental VE for children with a period of ≥1 year between the two doses of MuCV was 54.13% (95% CI=1.90%-78.56%, P <0.05), while for children with a period of <1 year, it was 30.63% (95% CI=-28.59%-62.58%, P >0.05). The incremental VE of the second dose of MuCV was 30.36% (95% CI=-25.95%-61.50%, P >0.05) in kindergarten children and 66.73% (95% CI=14.92%-86.99%, P <0.05) in elementary and secondary school students. The incremental VE was 28.78% (95% CI=-27.46%-60.21%, P >0.05) within five years of the last dose of MuCV vaccination and 66.07% (95% CI=-41.56%-91.87%, P >0.05) for vaccinations administered beyond five years.
Conclusions
The second dose of MuCV may offer additional protection for children; however, extending the interval between two dose of MuCV (<1 year) has shown limited incremental protective effects. Therefore, it is crucial to consider optimizing current immunization strategies for mumps.
3.Epidemiological characteristics and spatiotemporal clustering analysis of varicella in Lu'an City in 2005 - 2023
Huan ZHANG ; Bingxin MA ; Yafei CHEN ; Yao WANG ; Fan PAN ; Lei ZHANG ; Kai CHENG ; Ling SHAO ; Wei QIN
Journal of Public Health and Preventive Medicine 2025;36(6):58-61
Objective To analyze the epidemiological characteristics and spatiotemporal clustering of varicella in Lu'an City from 2005 to 2023, and to provide a scientific basis for optimizing varicella prevention and control strategies. Methods Data on varicella cases were collected through the Chinese Center for Disease Control and Prevention Information System. Descriptive epidemiology, temporal trend analysis, seasonal analysis, spatiotemporal clustering analysis, and spatial autocorrelation analysis were conducted using QGIS, JoinPoint, SaTScan and GeoDa software. Results The average annual reported incidence rate of varicella in Lu'an City from 2005 to 2023 was 34.55/100,000, showing a trend of initial increase followed by a decrease. The peak incidence occurred from October to January of the following year (RR=1.97, LLR=1743.95, P=0.001). Students aged 0 to 19 was the primary affected group. Spatiotemporal scan analysis revealed four types of spatiotemporal clusters, with the cluster in Jin'an District from October 2017 to December 2023 being particularly prominent (RR=2.87,LLR=1734.15,P<0.001). Spatial autocorrelation analysis indicated significant clustering of varicella cases in the main urban area (Moran's I=0.216,Z=4.786,P=0.003). Conclusion The incidence of varicella in Lu'an City exhibits distinct seasonal and spatial clustering, and schools and kindergartens in the main urban area are the key to varicella prevention and control. It is necessary to enhance the monitoring of disease outbreaks during peak periods and in key areas, and to increase the two-dose vaccination rate for varicella in areas with case aggregation and among key populations.
4.Mechanisms and treatment of inflammation-cancer transformation in colon from perspective of cold and heat in complexity in integrative medicine.
Ning WANG ; Han-Zhou LI ; Tian-Ze PAN ; Wei-Bo WEN ; Ya-Lin LI ; Qian-Qian WAN ; Yu-Tong JIN ; Yu-Hong BIAN ; Huan-Tian CUI
China Journal of Chinese Materia Medica 2025;50(10):2605-2618
Colorectal cancer(CRC) is one of the most common malignant tumors worldwide, primarily originating from recurrent inflammatory bowel disease(IBD). Therefore, blocking the inflammation-cancer transformation in the colon has become a focus in the early prevention and treatment of CRC. The inflammation-cancer transformation in the colon involves multiple types of cells and complex pathological processes, including inflammatory responses and tumorigenesis. In this complex pathological process, immune cells(including non-specific and specific immune cells) and non-immune cells(such as tumor cells and fibroblasts) interact with each other, collectively promoting the progression of the disease. In traditional Chinese medicine(TCM), inflammation-cancer transformation in the colon belongs to the categories of dysentery and diarrhea, with the main pathogenesis being cold and heat in complexity. This paper first elaborates on the complex molecular mechanisms involved in the inflammation-cancer transformation process in the colon from the perspectives of inflammation, cancer, and their mutual influences. Subsequently, by comparing the pathogenic characteristics and clinical manifestations between inflammation-cancer transformation and the TCM pathogenesis of cold and heat in complexity, this paper explores the intrinsic connections between the two. Furthermore, based on the correlation between inflammation-cancer transformation in the colon and the TCM pathogenesis, this paper delves into the importance of the interaction between inflammation and cancer. Finally, it summarizes and discusses the clinical and basic research progress in the TCM intervention in the inflammation-cancer transformation process, providing a theoretical basis and treatment strategy for the treatment of CRC with integrated traditional Chinese and Western medicine.
Humans
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Colon/pathology*
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Integrative Medicine
;
Animals
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Cold Temperature
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Cell Transformation, Neoplastic/drug effects*
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Medicine, Chinese Traditional
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Hot Temperature
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Inflammation
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Drugs, Chinese Herbal/therapeutic use*
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Colonic Neoplasms/drug therapy*
5.Acute effects of blood flow restriction running warm-up on Achilles tendon morphology and function in basketball athletes
Jing LI ; Weimin PAN ; Jingyuan FAN ; Xiaoyu WEI ; Yan HUANG ; Huan FENG ; Longguo ZHANG ; Yingpeng JIANG ; Min LIU
Journal of Army Medical University 2025;47(18):2154-2162
Objective To determine the acute effects of blood flow restriction(BFR)running warm-up on Achilles tendon morphology and function in basketball players in order to provide a theoretical basis for optimizing warm-up protocols for military personnel and athletes susceptible to Achilles tendon injuries.Methods Twenty-seven male basketball players were subjected and asked to participate in 3 different running warm-up protocols:low-speed running(LSR),high-speed running(HSR),and BFR combined with LSR(BFR-LSR).The acute changes in Achilles tendon morphology,mechanical properties,and functional performance across the 3 testing sessions were analyzed and compared.Results Immediately after training,both HSR warm-up and BFR-LSR warm-up significantly improved Achilles tendon thickness,blood flow,stiffness,and gastrocnemius maximal voluntary isometric contraction(MVIC)when compared with LSR warm-up(P<0.05).No statistical differences were observed in above indicators between the BFR-LSR and HSR warm-ups(P>0.05).24 hours after training,compared with LSR warm-up,HSR warm-up still significantly improved Achilles tendon thickness,blood flow,stiffness,and gastrocnemius MVIC(P<0.05).Although BFR-LSR warm-up did not show statistically significant differences in these parameters compared to LSR warm-up,it still demonstrated positive trends.Immediately and 24 h after training,no obvious difference were found in jump performance among the 3 warm-up protocols(P>0.05),but,both BFR-LSR and HSR warm-ups exhibited superior performance than LSR warm-up.Conclusion Immediately after training,BFR-LSR warm-up demonstrates comparable effects to the HSR warm-up on improving Achilles tendon morphology and performance,as well as enhancing jump performance.However,its sustained and long-term effects require further investigation.
6.GPR40 novel agonist SZZ15-11 regulates glucolipid metabolic disorders in spontaneous type 2 diabetic KKAy mice
Lei LEI ; Jia-yu ZHAI ; Tian ZHOU ; Quan LIU ; Shuai-nan LIU ; Cai-na LI ; Hui CAO ; Cun-yu FENG ; Min WU ; Lei-lei CHEN ; Li-ran LEI ; Xuan PAN ; Zhan-zhu LIU ; Yi HUAN ; Zhu-fang SHEN
Acta Pharmaceutica Sinica 2024;59(10):2782-2790
G protein-coupled receptor (GPR) 40, as one of GPRs family, plays a potential role in regulating glucose and lipid metabolism. To study the effect of GPR40 novel agonist SZZ15-11 on hyperglycemia and hyperlipidemia and its potential mechanism, spontaneous type 2 diabetic KKAy mice, human hepatocellular carcinoma HepG2 cells and murine mature adipocyte 3T3-L1 cells were used. KKAy mice were divided into four groups, vehicle group, TAK group, SZZ (50 mg·kg-1) group and SZZ (100 mg·kg-1) group, with oral gavage of 0.5% sodium carboxymethylcellulose (CMC), 50 mg·kg-1 TAK875, 50 and 100 mg·kg-1 SZZ15-11 respectively for 45 days. Fasting blood glucose, blood triglyceride (TG) and total cholesterol (TC), non-fasting blood glucose were tested. Oral glucose tolerance test and insulin tolerance test were executed. Blood insulin and glucagon were measured
7.Multicenter retrospective investigation and analysis of the rationality of the application of human albumin in cardiac surgery during the perioperative period
Wenfei PAN ; Huan YU ; Dasheng DANG ; Lijuan CHEN ; Te LI ; Tianlu SHI ; Banghua HUANG ; Boxia LI ; Xiaoxue GONG ; Ying WANG
Chinese Journal of Pharmacoepidemiology 2024;33(2):176-183
Objective To investigate the clinical application of perioperative human serum albumin(HSA)in cardiac surgery in multiple regions in China,and to evaluate the rationality of its clinical application in conjunction with the clinical guidelines,in order to provide a reference for promoting the rational application of HSA.Methods The medical records of patients who underwent cardiac surgery from April to June 2019 in eight hospitals across the country were retrospectively collected.The statistical information on patients'general information,the dosage,course of treatment,and cost of HSA,and the serum albumin level before and after medication was analyzed to evaluate the use of HSA.Relevant evaluation criteria were established,and the rationality of its medication was evaluated.Results Data from a total of 449 patients were included for analysis,the appropriate rate of medication was 81.1%.The course of medication was mostly>2-5 days and the total amount of HSA was mostly 50-99 g.The main purpose of medicaiton were improving colloid osmotic pressure,reducing exudation to improve interstitial edema,postoperative volume expansion.Conclusion Clinical attention should be paid to ensure the rational application of HSA in cardiac surgery during the perioperative period and prevent the abuse of blood products.
8.Construction of unplanned offline prediction model for IHD two-stage citrate anticoagulation
Huan WANG ; Pan XIE ; Chao GAO ; Yi WU
Chongqing Medicine 2024;53(5):677-681
Objective To study the risk factors of two-stage citrate anticoagulation in intermittent he-modialysis(IHD)and to establish an unplanned offline prediction model.Methods A retrospective analysis was conducted to include 34 patients and 118 times of treatment with two-stage citrate anticoagulation for IHD in the hospital from January 2019 to February 2023.According to whether the treatment did not reach the treatment time due to the coagulation of the extracorporeal circulation pipeline,118 treatments were divid-ed into the planned units(n=111)and the unplanned units(n=7).Univariate and multivariate logistic re-gression analysis were used to analyze the risk factors of unplanned weaning,and a risk prediction model was established.The receiver operating characteristic(ROC)curve was used to analyze the predictive value of the regression model.Results Univariate analysis showed that there were statistically significant differences in hematocrit(HCT),platelet count(PLT),activated partial thromboplastin time(APTT),and treatment mode between the planned and unplanned units(P<0.05).Multivariate logistic regression analysis showed that HCT and APTT were independent influencing factors for unplanned weaning(P<0.05).The HCT level was represented by A,the APTT level was represented by B,and the prediction model was:Logit(P)=1.304+ 0.206×A-0.378×B.The area under the ROC curve(AUC)of the prediction model was 0.912(95%CI:0.825-0.995,P<0.001),the maximum Youden index was 0.782,the cut off value was 0.113,the sensitivity was 85.7%,and the specificity was 92.5%.Conclusion The prediction model established by multivariate logistic regression analy-sis can make a preliminary judgment on whether coagulation occurs in two-stage IHD treatment.
9.Report of 5 gene-edited pig-rhesus monkey heterotopic heart xenotransplantation experiment
Gen ZHANG ; Huan WANG ; Yulong GUAN ; Jie YAN ; Ji LI ; Xiaoliang LI ; Xianhua LI ; Rong ZHOU ; Xianzhi WANG ; Zhipeng REN ; Dongsheng HE ; Xin LI ; Dengke PAN ; Dianyuan LI
Chinese Journal of Thoracic and Cardiovascular Surgery 2024;40(6):379-384
Objective:To investigate the changing trends in cardiac function following xenogeneic heterotopic heart transplantation of multi-gene edited pig hearts and assess the impact of recipient immune responses on donor heart, laying experimental groundwork for the clinical application of gene editing technology.Methods:On December 16, 2023, xenogeneic heterotopic heart transplantation was performed between pigs and rhesus monkeys. Functional status of the graft under post-transplantation load conditions and recipient immune indicators were observed.Results:The recipient monkeys survived for 40 days with satisfactory functionality of both donor and recipient hearts, and no hyperacute or acute immune rejection reactions were observed.Conclusion:Multi-gene editing technology provides potential for xenotransplantation, yet further exploration is needed for its clinical application.
10.Near Infrared Spectral Analysis Based on Data Augmentation Strategy and Convolutional Neural Network
Yun ZHENG ; Si-Yu YANG ; Tao WANG ; Zhuo-Wen DENG ; Wei-Jie LAN ; Yong-Huan YUN ; Lei-Qing PAN
Chinese Journal of Analytical Chemistry 2024;52(9):1266-1276
Near infrared spectroscopy(NIRS)technology combined with chemometrics algorithms has been widely used in quantitative and qualitative analysis of food and medicine.However,traditional chemometrics methods,especially linear classification methods,often yield unsatisfactory results when addressing multi-class classification problems.Convolutional neural network(CNN)is adept at extracting deep-level features from data and suitable for handling non-linear relationships.The modeling performance of CNN depends on the size and diversity of sample,while the collection and preprocessing of NIRS sample data is often time-consuming and labor-intensive.This study proposed a NIRS qualitative analysis method based on data augmentation strategies and CNN.The data augmentation strategy included two steps.Firstly,applying Bootstrap resampling and generative adversarial network(GAN)methods to augment three NIRS datasets(Medicine,coffee and grape).Secondly,combining the original samples(Y)with the Bootstrap augmented samples(B)and GAN augmented samples(G)to obtain three augmented datasets(Y-B,Y-G and Y-B-G).Based on this,a CNN model structure suitable for these datasets was designed,consisting of 2 one-dimensional convolutional layers,1 max-pooling layer,and 1 fully connected layer.The results showed that compared to the optimal models of partial least squares discriminant analysis(PLS-DA),support vector machine(SVM),and back propagation neural network(BP),the CNN model based on Y-B dataset achieved average accuracy improvements of 3.998%,9.364%,and 4.689%for medicine(Binary classification);the CNN model based on the Y-B-G dataset achieved average accuracy improvements of 6.001%,2.004%,and 7.523%for coffee(7-class classification);and the CNN model based on the Y-B dataset achieved average accuracy improvements of 33.408%,51.994%,and 34.378%for grapes(20-class classification).It was evident that the models established based on data augmentation strategies and CNN demonstrated better classification accuracy and generalization performance with different datasets and classification categories.


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