1.Epidemiological characteristics of human respiratory syncytial virus among acute respiratory infection cases in 16 provinces of China from 2009 to 2023
Aili CUI ; Baicheng XIA ; Zhen ZHU ; Zhibo XIE ; Liwei SUN ; Jin XU ; Jing XU ; Zhong LI ; Linqing ZHAO ; Xiaoru LONG ; Deshan YU ; Bing ZHU ; Feng ZHANG ; Min MU ; Hui XIE ; Liang CAI ; Yun ZHU ; Xiaoling TIAN ; Bing WANG ; Zhenguo GAO ; Xiaoqing LIU ; Binzhi REN ; Guangyue HAN ; Kongxin HU ; Yan ZHANG
Chinese Journal of Preventive Medicine 2024;58(7):945-951
Objective:To understand the epidemiological characteristics of human respiratory syncytial virus (HRSV) among acute respiratory infection (ARI) cases in 16 provinces of China from 2009 to 2023.Methods:The data of this study were collected from the ARI surveillance data from 16 provinces in China from 2009 to 2023, with a total of 28 278 ARI cases included in the study. The clinical specimens from ARI cases were screened for HRSV nucleic acid from 2009 to 2023, and differences in virus detection rates among cases of different age groups, regions, and months were analyzed.Results:A total of 28 278 ARI cases were enrolled from January 2009 to September 2023. The age of the cases ranged from<1 month to 112 years, and the age M ( Q1, Q3) was 3 years (1 year, 9 years). Among them, 3 062 cases were positive for HRSV nucleic acid, with a total detection rate of 10.83%. From 2009 to 2019, the detection rate of HRSV was 9.33%, and the virus was mainly prevalent in winter and spring. During the Corona Virus Disease 2019 (COVID-19) pandemic, the detection rate of HRSV fluctuated between 6.32% and 18.67%. There was no traditional winter epidemic peak of HRSV from the end of 2022 to the beginning of 2023, and an anti-seasonal epidemic of HRSV occurred from April to May 2023. About 87.95% (2 693/3 062) of positive cases were children under 5 years old, and the difference in the detection rate of HRSV among different age groups was statistically significant ( P<0.001), showing a decreasing trend of HRSV detection rate with the increase of age ( P<0.001). Among them, the HRSV detection rate (25.69%) was highest in children under 6 months. Compared with 2009-2019, the ranking of HRSV detection rates in different age groups changed from high to low between 2020 and 2023, with the age M (Q1, Q3) of HRSV positive cases increasing from 1 year (6 months, 3 years) to 2 years (11 months, 3 years). Conclusion:Through 15 years of continuous HRSV surveillance analysis, children under 5 years old, especially infants under 6 months old, are the main high-risk population for HRSV infection. During the COVID-19 pandemic, the prevalence and patterns of HRSV in China have changed.
2.Epidemiological characteristics of human respiratory syncytial virus among acute respiratory infection cases in 16 provinces of China from 2009 to 2023
Aili CUI ; Baicheng XIA ; Zhen ZHU ; Zhibo XIE ; Liwei SUN ; Jin XU ; Jing XU ; Zhong LI ; Linqing ZHAO ; Xiaoru LONG ; Deshan YU ; Bing ZHU ; Feng ZHANG ; Min MU ; Hui XIE ; Liang CAI ; Yun ZHU ; Xiaoling TIAN ; Bing WANG ; Zhenguo GAO ; Xiaoqing LIU ; Binzhi REN ; Guangyue HAN ; Kongxin HU ; Yan ZHANG
Chinese Journal of Preventive Medicine 2024;58(7):945-951
Objective:To understand the epidemiological characteristics of human respiratory syncytial virus (HRSV) among acute respiratory infection (ARI) cases in 16 provinces of China from 2009 to 2023.Methods:The data of this study were collected from the ARI surveillance data from 16 provinces in China from 2009 to 2023, with a total of 28 278 ARI cases included in the study. The clinical specimens from ARI cases were screened for HRSV nucleic acid from 2009 to 2023, and differences in virus detection rates among cases of different age groups, regions, and months were analyzed.Results:A total of 28 278 ARI cases were enrolled from January 2009 to September 2023. The age of the cases ranged from<1 month to 112 years, and the age M ( Q1, Q3) was 3 years (1 year, 9 years). Among them, 3 062 cases were positive for HRSV nucleic acid, with a total detection rate of 10.83%. From 2009 to 2019, the detection rate of HRSV was 9.33%, and the virus was mainly prevalent in winter and spring. During the Corona Virus Disease 2019 (COVID-19) pandemic, the detection rate of HRSV fluctuated between 6.32% and 18.67%. There was no traditional winter epidemic peak of HRSV from the end of 2022 to the beginning of 2023, and an anti-seasonal epidemic of HRSV occurred from April to May 2023. About 87.95% (2 693/3 062) of positive cases were children under 5 years old, and the difference in the detection rate of HRSV among different age groups was statistically significant ( P<0.001), showing a decreasing trend of HRSV detection rate with the increase of age ( P<0.001). Among them, the HRSV detection rate (25.69%) was highest in children under 6 months. Compared with 2009-2019, the ranking of HRSV detection rates in different age groups changed from high to low between 2020 and 2023, with the age M (Q1, Q3) of HRSV positive cases increasing from 1 year (6 months, 3 years) to 2 years (11 months, 3 years). Conclusion:Through 15 years of continuous HRSV surveillance analysis, children under 5 years old, especially infants under 6 months old, are the main high-risk population for HRSV infection. During the COVID-19 pandemic, the prevalence and patterns of HRSV in China have changed.
3.Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients (version 2024)
Yao LU ; Yang LI ; Leiying ZHANG ; Hao TANG ; Huidan JING ; Yaoli WANG ; Xiangzhi JIA ; Li BA ; Maohong BIAN ; Dan CAI ; Hui CAI ; Xiaohong CAI ; Zhanshan ZHA ; Bingyu CHEN ; Daqing CHEN ; Feng CHEN ; Guoan CHEN ; Haiming CHEN ; Jing CHEN ; Min CHEN ; Qing CHEN ; Shu CHEN ; Xi CHEN ; Jinfeng CHENG ; Xiaoling CHU ; Hongwang CUI ; Xin CUI ; Zhen DA ; Ying DAI ; Surong DENG ; Weiqun DONG ; Weimin FAN ; Ke FENG ; Danhui FU ; Yongshui FU ; Qi FU ; Xuemei FU ; Jia GAN ; Xinyu GAN ; Wei GAO ; Huaizheng GONG ; Rong GUI ; Geng GUO ; Ning HAN ; Yiwen HAO ; Wubing HE ; Qiang HONG ; Ruiqin HOU ; Wei HOU ; Jie HU ; Peiyang HU ; Xi HU ; Xiaoyu HU ; Guangbin HUANG ; Jie HUANG ; Xiangyan HUANG ; Yuanshuai HUANG ; Shouyong HUN ; Xuebing JIANG ; Ping JIN ; Dong LAI ; Aiping LE ; Hongmei LI ; Bijuan LI ; Cuiying LI ; Daihong LI ; Haihong LI ; He LI ; Hui LI ; Jianping LI ; Ning LI ; Xiying LI ; Xiangmin LI ; Xiaofei LI ; Xiaojuan LI ; Zhiqiang LI ; Zhongjun LI ; Zunyan LI ; Huaqin LIANG ; Xiaohua LIANG ; Dongfa LIAO ; Qun LIAO ; Yan LIAO ; Jiajin LIN ; Chunxia LIU ; Fenghua LIU ; Peixian LIU ; Tiemei LIU ; Xiaoxin LIU ; Zhiwei LIU ; Zhongdi LIU ; Hua LU ; Jianfeng LUAN ; Jianjun LUO ; Qun LUO ; Dingfeng LYU ; Qi LYU ; Xianping LYU ; Aijun MA ; Liqiang MA ; Shuxuan MA ; Xainjun MA ; Xiaogang MA ; Xiaoli MA ; Guoqing MAO ; Shijie MU ; Shaolin NIE ; Shujuan OUYANG ; Xilin OUYANG ; Chunqiu PAN ; Jian PAN ; Xiaohua PAN ; Lei PENG ; Tao PENG ; Baohua QIAN ; Shu QIAO ; Li QIN ; Ying REN ; Zhaoqi REN ; Ruiming RONG ; Changshan SU ; Mingwei SUN ; Wenwu SUN ; Zhenwei SUN ; Haiping TANG ; Xiaofeng TANG ; Changjiu TANG ; Cuihua TAO ; Zhibin TIAN ; Juan WANG ; Baoyan WANG ; Chunyan WANG ; Gefei WANG ; Haiyan WANG ; Hongjie WANG ; Peng WANG ; Pengli WANG ; Qiushi WANG ; Xiaoning WANG ; Xinhua WANG ; Xuefeng WANG ; Yong WANG ; Yongjun WANG ; Yuanjie WANG ; Zhihua WANG ; Shaojun WEI ; Yaming WEI ; Jianbo WEN ; Jun WEN ; Jiang WU ; Jufeng WU ; Aijun XIA ; Fei XIA ; Rong XIA ; Jue XIE ; Yanchao XING ; Yan XIONG ; Feng XU ; Yongzhu XU ; Yongan XU ; Yonghe YAN ; Beizhan YAN ; Jiang YANG ; Jiangcun YANG ; Jun YANG ; Xinwen YANG ; Yongyi YANG ; Chunyan YAO ; Mingliang YE ; Changlin YIN ; Ming YIN ; Wen YIN ; Lianling YU ; Shuhong YU ; Zebo YU ; Yigang YU ; Anyong YU ; Hong YUAN ; Yi YUAN ; Chan ZHANG ; Jinjun ZHANG ; Jun ZHANG ; Kai ZHANG ; Leibing ZHANG ; Quan ZHANG ; Rongjiang ZHANG ; Sanming ZHANG ; Shengji ZHANG ; Shuo ZHANG ; Wei ZHANG ; Weidong ZHANG ; Xi ZHANG ; Xingwen ZHANG ; Guixi ZHANG ; Xiaojun ZHANG ; Guoqing ZHAO ; Jianpeng ZHAO ; Shuming ZHAO ; Beibei ZHENG ; Shangen ZHENG ; Huayou ZHOU ; Jicheng ZHOU ; Lihong ZHOU ; Mou ZHOU ; Xiaoyu ZHOU ; Xuelian ZHOU ; Yuan ZHOU ; Zheng ZHOU ; Zuhuang ZHOU ; Haiyan ZHU ; Peiyuan ZHU ; Changju ZHU ; Lili ZHU ; Zhengguo WANG ; Jianxin JIANG ; Deqing WANG ; Jiongcai LAN ; Quanli WANG ; Yang YU ; Lianyang ZHANG ; Aiqing WEN
Chinese Journal of Trauma 2024;40(10):865-881
Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.
4.Preliminary exploration on operation process for autologous ozonized blood transfusion
Jianjun WU ; Yan BAI ; Yanli BAI ; Zhanshan ZHA ; Jing CHEN ; Yahan FAN ; Jiwu GONG ; Shouyong HUN ; Hongbing LI ; Zhongjun LI ; Jiajin LIN ; Chunxia LIU ; Fenghua LIU ; Jiubo LIU ; Jingling LUO ; Xianjun MA ; Deying MENG ; Shijie MU ; Mei QIN ; Hui WANG ; Haiyan WANG ; Qiushi WANG ; Quanli WANG ; Xiaoning WANG ; Yongjun WANG ; Changsong WU ; Lin WU ; Jue XIE ; Pu XU ; Liying XU ; Mingchia YANG ; Yongtao YANG ; Yang YU ; Zebo YU ; Juan ZHANG ; Xiaoyu ZHOU ; Xuelian ZHOU ; Shuming ZHAO
Chinese Journal of Blood Transfusion 2023;36(2):95-100
Autologous ozonized blood transfusion(AOBT) is a therapy of re-transfusion of 100-200 mL of autologous blood after shaking and agitation with appropriate amount of oxygen-ozone in vitro. The oxidation of blood through the strong oxidation of ozone can enhance the non-specific immune response of the body, regulate the internal environment and promote health. This therapy has been increasingly applied in clinical practice, while no unified standard for the operation process in terms of ozone concentration, treatment frequency and treatment course had been established. This operation process of AOBT is primarily explored in order to standardize the operation process and ensure its safety and efficacy.
5. Protective Effects of Raspberry Crude Polysaccharides on UVB-Induced Photodamage in HaCaT Cells
Xing-Xing YIN ; Xue-Hong WANG ; Wen-Hui TIAN ; Yong-Jing YANG ; Mu CHAO
Chinese Journal of Biochemistry and Molecular Biology 2022;38(10):1359-1369
Polysaccharide is one of the functional components of the raspberry, which has various pharmacological effects such as anti-inflammatory, antioxidant, anti-fatigue, hypoglycemic and immunomodulatory. However, whether raspberry polysaccharides have protective effects on UV-induced photodamage to skin cells has not been reported. This study aims to investigate the protective effect of Raspberry Crude Polysaccharide on Ultraviolet B (UVB) -induced photodamage of human immortalized keratinocytes (H a C a T). The photodamage model of HaCaT cells was established by UVB irradiation. To evaluate the anti-UVB activity of R C P, the cell viability was determined by the CCK-8 method, and the Enzyme-linked immunosorbent assays (ELISA) and microplate method were used to measure the contents of matrix metalloproteinase, inflammatory and antioxidant factors in the photodamaged HaCaT cells. The antioxidant activity of RCP was detected by radical scavenging assays against D P P H radical (D P P H •) and ABTS radical (ABTS •
7.Feasibility of ultrasound radiomics-based models for classification of hepatic echinococcosis
Xu-hui ZHANG ; La-mu SUOLANG ; Jia-jun QIU ; Jing-wen JIANG ; Jin YIN ; Jun-ren WANG ; Yi-fei WANG ; Yong-zhong LI ; Di-ming CAI
Chinese Journal of Schistosomiasis Control 2022;34(5):500-506
Objective To investigate the feasibility of establishment of ultrasound radiomics-based models for classification of hepatic echinococcosis, so as to provide insights into precision ultrasound diagnosis of hepatic echinococcosis. Methods The ultrasonographic images were retrospectively collected from 200 patients with hepatic echinococcosis in Shiqu County, Ganzi Tibetan Autonomous Prefecture, Sichuan Province in October 2014, and the regions of interest were plotted in ultrasonographic images of hepatic echinococcosis lesions. The ultrasound radiomics features of hepatic echinococcosis were extracted with 25 methods, and screened using pre-selection and the least absolute shrinkage and selection operator. Then, all ultrasonographic images were randomly assigned into the training and independent test sets according to the type of lesions at a ratio of 7:3. Machine learning models for classification of hepatic echinococcosis were created based on two classifiers, including kernel logistic regression (KLR) and medium Gaussian support vector machine (MGSVM). The receiver operating characteristic (ROC) curves were plotted, and the sensitivity, specificity and areas under the curves (AUC) of the created machine learning models for classification of hepatic echinococcosis were calculated. Results A total of 5 005 ultrasound radiomics features were extracted from 200 patients with hepatic echinococcosis using 25 methods, and 36 optimal radiomics features were screened through feature selection, based on which two machine learning models were created, including KLR and MGSVM. ROC curve analysis showed that MGS-VM presented a higher efficacy for hepatic echinococcosis classification than KLR in the training set, with a sensitivity of 0.82, a specificity of 0.78 and AUC of 0.88, while KLR presented a higher efficacy for hepatic echinococcosis classification than MGSVM in the independent test set, with a sensitivity of 0.82, a specificity of 0.72 and AUC of 0.86, respectively. Conclusions Ultrasound radiomics-based machine learning models are feasible for hepatic echinococcosis classification.
8.A case of infantile anti-AMPA2 receptor encephalitis.
Yin Ting LIAO ; Wen Xiong CHEN ; Hai Xia ZHU ; Wen Lin WU ; Bing Wei PENG ; Yun Long ZUO ; Mu Qing ZHUO ; Zong Zong CHEN ; Hui Ling SHEN ; Xiao Jing LI
Chinese Journal of Pediatrics 2022;60(11):1207-1209
9.Mechanism of hepatic fibrosis associated with Echinococcus: a review
Ren-jie ZHANG ; Hua-sheng PANG ; Jing-zhong LI ; Zhao-hui LUO ; Lin AI ; Peng SONG ; Yu-chun CAI ; Yan LU ; Xiao-jin MO ; Mu-xin CHEN ; Jia-xu CHEN
Chinese Journal of Schistosomiasis Control 2022;34(6):646-653
Echinococcosis is a zoonotic parasitic disease caused by Echinococcus infections, and this disorder may cause fibrosis of multiple vital organs, which may further progress into cirrhosis. Early-stage hepatic fibrosis is reversible, and unraveling the mechanisms underlying hepatic fibrosis induced by Echinococcus infections is of great significance for the prevention and treatment of early-stage hepatic fibrosis. Recently, the studies pertaining to hepatic fibrosis associated with Echinococcus infections focus on cytokines and immune cells. This review summarizes the advances in the mechanisms underlying host immune cells- and cytokines-mediated hepatic fibrosis in humans or mice following Echinococcus infections.
10.Summary of the best evidence for prevention and management of sore throat after general anesthesia in adult patients
Jing YAN ; Xiangfeng CHEN ; Hui HUANG ; Yusu LI ; Mu SHEN ; Wei DENG
Chinese Journal of Modern Nursing 2022;28(32):4456-4462
Objective:To systematically retrieve and evaluate the relevant literature on the management of postoperative sore throat (POST) in adult patients under general anesthesia at home and abroad, comprehensively summarize and form the best practice evidence, so as to provide evidence-based basis for clinical workers to implement POST management in adult patients after general anesthesia.Methods:All evidence on postoperative sore throat in adults undergoing general anesthesia was searched from domestic and foreign databases and professional association websites including BMJ Best Practice, Up To Date, Joanna Briggs Institute (JBI) Evidence-based Health Care Center database, National Guideline Clearinghouse (NGC) , Guidelines International Network (GIN) , Registered Nurses' Association of Ontario (RNAO) , Cochrane Library, PubMed, Embase, CINAHL, China National Knowledge Infrastructure, Wanfang Database, China Biology Medicine disc, Australian and New Zealand College of Anaesthetists and American Society of Anesthesiologists. The searched evidence included best practice, evidence summaries, guidelines, systematic review, expert consensuses and original study. The search time limit was from the establishment of the database to April 30, 2021. Two researchers who had systematically learned evidence-based nursing independently evaluated the quality of the included literature and extracted and summarized the evidence of the literature that met the quality criteria.Results:Totally 20 pieces of literature were included, including 2 clinical decisions, 1 evidence summary, 1 guideline, 4 expert consensuses, 7 systematic reviews, 5 randomized controlled trails. Finally, totally 24 pieces of best evidence were summarized from 4 aspects on identification and assessment of POST, artificial airway management, pharmacological interventions, non-pharmacological interventions and multidisciplinary management.Conclusions:Clinicians should pay attention to and strengthen the management of POST in adult patients with general anesthesia. When selecting the application of relevant evidence, they should fully consider the actual clinical situation, the promoting factors and hindering factors of evidence implementation and the willingness of patients, so as to determine the best implementation plan, alleviate the POST of patients with general anesthesia and improve the quality of nursing.

Result Analysis
Print
Save
E-mail