1.Molecular epidemiology of norovirus among diarrheal patients in Linyi, 2021 to 2023
Chengwei LI ; Jing WANG ; Xiangliang LIU ; Deqing YIN ; Shengxiang JI ; Qianqian DUAN
Chinese Journal of Experimental and Clinical Virology 2025;39(2):202-207
Objective:To investigate the molecular epidemiological characteristics of norovirus (NoV) among infectious diarrhea patients in Linyi from 2021 to 2023, and provide the scientific evidence for norovirus control and prevention.Methods:The epidemiological information and fecal samples of patients with infectious diarrhea in Linyi from 2021 to 2023 were collected and detected by real-time fluorescent quantitative PCR. The RdRp and capsid gene VP1 region of norovirus-positive specimens were amplified and sequenced used to analyze their genotype, phylogeny and homology.Results:Among the 2 311specimens, 123 (5.32%) were positive of NoV, with GI/GII group infection accounted for 17.07% (21/123) and 77.24% (95/123), respectively, GI/GII group mixed infection accounted for 5.69% (7/123). The detection rate of <1 year age group was the highest (8.86%), followed by the 1-3 years group (7.11%, 30/422) and the over 60 years group (5.29%, 23/123). The highest NoV detection rate was 7.96% (45/565) in the urban area, and the most abundant genotypes were found in the northern mountainous area. Sequence analysis showed that 61 identified NoV strains could be divided into 12 genotypes, with 4 NoV GI and 8 NoV GII. The dominant genotype differed during the 3 years, with GII.4 Sydney [P16] in 2021, GII.4 Sydney [P31] in 2022, and GII.2[P16] in 2023.Conclusions:NoV GII group was the main NoV infection in Linyi from 2021-2023 and genotypes were diverse. Children under 3 years of age and elderly people over 60 years old as susceptible groups should be given special protection. In addition, the monitoring of NoV genotype diversification should be strengthened in northern mountainous areas.
2.Original species identification of Epimedii Folium (Epimedium) and their distributional responses to climate change
Yiheng WANG ; Kangjia LIU ; Meng LI ; Yuran BAI ; Chengcai ZHANG ; Binbin YAN ; Wenpan DONG ; Yan ZHANG ; Jiahui SUN
Science of Traditional Chinese Medicine 2025;3(2):178-185
Background: Epimedii Folium is well known for its medicinal value. Four Epimedium species—Euphorbia brevicornu, E. sagittatum, E. pubescens, and E. koreanum—are the designated original plants of Epimedii Folium. Objective: The objective of this study is to facilitate the identification of the four Epimedium species and clarify their distributional responses to climate change. Methods: In this study, we assessed the genetic divergence of the four species and identified the molecular markers for species identification by using chloroplast genome sequences. Furthermore, we forecasted the distribution of potentially suitable regions of the four species Folium under climate change. Results: The authors obtained 26 chloroplast genome sequences of the four species and identified 1393 variable sites and 273 indel events. Genetic divergence analyses revealed that E. koreanum had long genetic distance from the other three species. Compared with the complete chloroplast genome, six hypervariable markers were discovered, and both rps4-trnL and ndhF were chosen as Epimedii Folium-specific DNA barcodes. Climate change is expected to influence the geographical distribution of the four Epimedium species, which were primarily found in China, South Korea, and Japan, leading to both expansion and contraction of their distribution ranges. Conclusion: Two identification markers were selected as the specific DNA barcodes for all four original plant species of Epimedii Folium. In addition, the shift of potential suitable area in various climate scenarios has been predicted. With the support of identification markers and the dynamics of suitable distribution areas, we are able to establish a foundation for the sustainable utilization of medicinal Epimedium resources in the future.
3.Optimization of 90Y PET/CT imaging based on the block-sequential regularized expectation maximization reconstruction algorithm
Tiantian ZHANG ; Ziwei LIANG ; Zhongbin HANG ; Yan ZHANG ; Deqing LIU ; Yuhang SHAN ; Yong LIAO ; Xin HUANG ; Bin LIANG ; Lin ZHANG ; Xiaobin FENG ; Zuoxiang HE
Chinese Journal of Nuclear Medicine and Molecular Imaging 2025;45(6):335-340
Objective:To optimize the image quality of PET/CT following 90Y-selective internal radiation therapy ( 90Y-SIRT) using block-sequential regularized expectation maximization (BSREM) reconstruction algorithm, and to evaluate its impact of different β values on image quality and quantitative analysis. Methods:A retrospective study was conducted on 8 male patients with hepatic tumors (age: 62(52, 71) years) treated at Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua Medicine Tsinghua University, between June 2024 and January 2025. All patients were treated with 90Y resin microspheres (2.6(0.9, 3.6)GBq) and underwent post-treatment 90Y PET/CT liver imaging. Imaging data were reconstructed using BSREM with different noise penalty weighting factors ( β values: 0, 300, 1000, 1500, 2500, 3500, 4000, 6000, 8000, 10000). Visual assessment was independently performed by two nuclear medicine physicians, using a 4-point scale (1=worst, 4=best). The mean score was considered as the final score. The consistency of the 2 reviewers was calculated and analyzed by Kappa test. Visual scores of different β value groups were compared by Friedman test. The β value demonstrating highest mean score and optimal consistency was selected as the optimal. Quantitative analysis was performed using MIM software to calculate the maximum absorbed dose ( Dmax) and the mean absorbed dose ( Dmean) for tumor, normal liver, and whole liver regions, and the CV was used to evaluate the impact of β values. Results:The visual assessment consistency of reviewers in 3 β value groups (0, 3500, 6000) were the highest (7/8) (all kappa=0.88, all P<0.05). Visual scores of the 10 β value groups were significantly different ( χ2=28.74, P<0.001), and the visual scores of 2 β value groups (3500, 4000) were the highest, both of which were 4.0(4.0, 4.0). Overall, visual assessment identified β=3500 as the optimal. Quantitative analysis revealed that, (1) Dmax in all regions (tumor, normal liver, whole liver) decreased with the increasing β values, stabilizing when β>1000 ( CV 56%-67%); (2) Dmean remained stable across different β values ( CV 0.04%-5.00%). Conclusions:In BSREM reconstruction, β=3500 is the optimal parameter for improving 90Y-PET image quality. β values significantly affect Dmax (stabilizing at β > 1000), but have no significant impact on Dmean, suggesting that reconstruction parameters primarily influence dose distribution morphology rather than average dose assessments.
4.Optimization of 90Y PET/CT imaging based on the block-sequential regularized expectation maximization reconstruction algorithm
Tiantian ZHANG ; Ziwei LIANG ; Zhongbin HANG ; Yan ZHANG ; Deqing LIU ; Yuhang SHAN ; Yong LIAO ; Xin HUANG ; Bin LIANG ; Lin ZHANG ; Xiaobin FENG ; Zuoxiang HE
Chinese Journal of Nuclear Medicine and Molecular Imaging 2025;45(6):335-340
Objective:To optimize the image quality of PET/CT following 90Y-selective internal radiation therapy ( 90Y-SIRT) using block-sequential regularized expectation maximization (BSREM) reconstruction algorithm, and to evaluate its impact of different β values on image quality and quantitative analysis. Methods:A retrospective study was conducted on 8 male patients with hepatic tumors (age: 62(52, 71) years) treated at Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua Medicine Tsinghua University, between June 2024 and January 2025. All patients were treated with 90Y resin microspheres (2.6(0.9, 3.6)GBq) and underwent post-treatment 90Y PET/CT liver imaging. Imaging data were reconstructed using BSREM with different noise penalty weighting factors ( β values: 0, 300, 1000, 1500, 2500, 3500, 4000, 6000, 8000, 10000). Visual assessment was independently performed by two nuclear medicine physicians, using a 4-point scale (1=worst, 4=best). The mean score was considered as the final score. The consistency of the 2 reviewers was calculated and analyzed by Kappa test. Visual scores of different β value groups were compared by Friedman test. The β value demonstrating highest mean score and optimal consistency was selected as the optimal. Quantitative analysis was performed using MIM software to calculate the maximum absorbed dose ( Dmax) and the mean absorbed dose ( Dmean) for tumor, normal liver, and whole liver regions, and the CV was used to evaluate the impact of β values. Results:The visual assessment consistency of reviewers in 3 β value groups (0, 3500, 6000) were the highest (7/8) (all kappa=0.88, all P<0.05). Visual scores of the 10 β value groups were significantly different ( χ2=28.74, P<0.001), and the visual scores of 2 β value groups (3500, 4000) were the highest, both of which were 4.0(4.0, 4.0). Overall, visual assessment identified β=3500 as the optimal. Quantitative analysis revealed that, (1) Dmax in all regions (tumor, normal liver, whole liver) decreased with the increasing β values, stabilizing when β>1000 ( CV 56%-67%); (2) Dmean remained stable across different β values ( CV 0.04%-5.00%). Conclusions:In BSREM reconstruction, β=3500 is the optimal parameter for improving 90Y-PET image quality. β values significantly affect Dmax (stabilizing at β > 1000), but have no significant impact on Dmean, suggesting that reconstruction parameters primarily influence dose distribution morphology rather than average dose assessments.
5.Molecular epidemiology of norovirus among diarrheal patients in Linyi, 2021 to 2023
Chengwei LI ; Jing WANG ; Xiangliang LIU ; Deqing YIN ; Shengxiang JI ; Qianqian DUAN
Chinese Journal of Experimental and Clinical Virology 2025;39(2):202-207
Objective:To investigate the molecular epidemiological characteristics of norovirus (NoV) among infectious diarrhea patients in Linyi from 2021 to 2023, and provide the scientific evidence for norovirus control and prevention.Methods:The epidemiological information and fecal samples of patients with infectious diarrhea in Linyi from 2021 to 2023 were collected and detected by real-time fluorescent quantitative PCR. The RdRp and capsid gene VP1 region of norovirus-positive specimens were amplified and sequenced used to analyze their genotype, phylogeny and homology.Results:Among the 2 311specimens, 123 (5.32%) were positive of NoV, with GI/GII group infection accounted for 17.07% (21/123) and 77.24% (95/123), respectively, GI/GII group mixed infection accounted for 5.69% (7/123). The detection rate of <1 year age group was the highest (8.86%), followed by the 1-3 years group (7.11%, 30/422) and the over 60 years group (5.29%, 23/123). The highest NoV detection rate was 7.96% (45/565) in the urban area, and the most abundant genotypes were found in the northern mountainous area. Sequence analysis showed that 61 identified NoV strains could be divided into 12 genotypes, with 4 NoV GI and 8 NoV GII. The dominant genotype differed during the 3 years, with GII.4 Sydney [P16] in 2021, GII.4 Sydney [P31] in 2022, and GII.2[P16] in 2023.Conclusions:NoV GII group was the main NoV infection in Linyi from 2021-2023 and genotypes were diverse. Children under 3 years of age and elderly people over 60 years old as susceptible groups should be given special protection. In addition, the monitoring of NoV genotype diversification should be strengthened in northern mountainous areas.
6.Sequencing,verification and functional analysis of differentially expressed genes in brain tissue of a rat model with acute intracerebral hemorrhage
Yuguang GAO ; Jie ZHONG ; Deqing HUANG ; Yujuan MA ; Yuxiong LIAO ; Qiqi LIU
Chinese Journal of Tissue Engineering Research 2024;28(20):3182-3189
BACKGROUND:There are differentially expressed genes in acute intracerebral hemorrhage,which are related to the occurrence and development of intracerebral hemorrhage. OBJECTIVE:To screen differentially expressed genes and key genes in brain tissue of a rat model with acute intracerebral hemorrhage,to validate them through qPCR,and to analyze the relationships between key genes and the neurological function and brain tissue water content after intracerebral hemorrhage. METHODS:Seventy-eight Sprague-Dawley rats were randomly divided into two groups:in intracerebral hemorrhage group,a rat model of acute intracerebral hemorrhage was made using collagenase injection at the right caudate nucleus;and in sham-operated group,rats were injected with equal amount of saline at the same site.RNA was extracted from rat brain tissues of both groups using the TRIzol method and transcriptome sequencing technology was used to identify differentially expressed genes in brain tissues of acute intracerebral hemorrhage,which were then verified by qPCR and analyzed for the relationships between the genes and neurological function and brain tissue water content after intracerebral hemorrhage.And the key genes were analyzed by GO and KEGG functional enrichment analysis in combination with bioinformatics. RESULTS AND CONCLUSION:Ten key genes were identified,including CXCL8,SERPINE1,TFPI2,CXCR4,GDA,KCNQ5,ERICH3,SCN3B,CACNA1E,and CCL20.The contents of GDA,KCNQ5,ERICH3,SCN3B,and CACNA1E in the intracerebral hemorrhage group were lower than those in the sham-operated group(P<0.05).The contents of CXCL8,SERPINE1,TFPI2,CXCR4 and CCL20 in the intracerebral hemorrhage group were higher than those in the sham-operated group(P<0.05).The contents of GDA,KCNQ5,ERICH3,SCN3B,and CACNA1E were positively correlated with brain tissue water content and neurologic deficit score(P<0.05),while the contents of CXCL8,SERPINE1,TFPI2,CXCR4 and CCL20 were negatively correlated with brain tissue water content and neurologic deficit score(P<0.05).GO analysis indicated that differentially expressed genes were mainly enriched in two biological processes(leukocyte chemotaxis and chemokine-mediated signaling pathways),two cell components(cation channel complexes and ion channel complexes),and two molecular functions(gated channel activity and ion channel activity).KEGG analysis indicated that differentially expressed genes were concentrated in tumor necrosis factor signaling pathway,glutamatergic synapses and GABAergic synapses.To conclude,the differentially expressed genes in intracerebral hemorrhage include CXCL8,SERPINE1,TFPI2,CXCR4,GDA,KCNQ5,ERICH3,SCN3B,CACNA1E,and CCL20,and these genes are related to brain tissue water content and neurological function after intracerebral hemorrhage.These genes are mainly enriched in cell components,binding functions,cellular protrusions,and other related biological functions.
7.Detection characteristics of the virus during school influenza outbreaks in Linyi City
Chinese Journal of School Health 2024;45(5):723-726
Objective:
To analyze the characteristics of influenza virus detection in an influenza outbreak in schools, so as to provide a strategic basis for the treatment of influenza outbreaks in schools.
Methods:
A total of 1 702 samples were collected from 52 school influenza outbreaks reported in Linyi City in 2021-2022. The samples were divided into 3 types according to different symptoms during the management of the epidemic [group A:influenzalike illness (ILI) group; group B:mild illness group; group C:close contacts group]. Rt-PCR was used to detect influenza virus nucleic acid in the collected samples. The detection rate of influenza virus in the outbreaks was analyzed by χ2 test.
Results:
In total, 1 071 samples (62.93%) tested positive for influenza virus nucleic acid. Among them, 610 out of 726 samples (84.02%) were detected in group A, while 331 out of 634 samples (52.21%) were detected in group B. In group C, 130 out of 342 samples (38.01%) tested positive. The differences were statistically significant (χ2=260.71, P<0.01). In group A, males had a detection rate of 80.83% for influenza virus nucleic acid, compared to 91.36% for females. For group B, the rates were 53.31% for males and 50.87% for females. In group C, males had a rate of 30.72%, while females had a rate of 43.92%. Statistical significance for gender differences was observed only in groups A and C (χ2=12.67, 6.25, P<0.05). According to the days of onset, the detection rates of influenza virus nucleic acid among patients with onset 0-6 days were 56.30%, 74.49%, 89.35%, 86.23%, 69.67%, 62.75%, 34.33%, respectively, and the difference was statistically significant (χ2=128.27, P<0.01).
Conclusions
Mild cases and close contacts are likely key factors contributing to the prolonged emergence of new cases within classrooms during school influenza outbreaks. The progression of influenza symptoms is related to the risk of transmission.
8.Mechanism of Jianshen Lishui Decoction on Nerve Cell Apoptosis in Rats with Cerebral Hemorrhage Based on miR-153/TREM1
Yuguang GAO ; Jie ZHONG ; Yonghui LIU ; Deqing HUANG ; Shuwu HUANG ; Tai LIU
World Science and Technology-Modernization of Traditional Chinese Medicine 2024;26(3):829-836
Objective To explore the mechanism of Jianshen Lishui Decoction on nerve cell apoptosis in rats with cerebral hemorrhage.Methods The expression of miR-153 in cerebral hemorrhage was analyzed by miRNA microarray and RT-PCR,and the relationship between miR-153 and neuronal apoptosis in cerebral hemorrhage was observed,and predicted the target gene of miR-153;the binding of miR-153 to target genes was studied by dual-luciferase reporter gene Experiments,and to observe the effects of overexpression and inhibition of miR-153 on target genes.Subsequently,the relationship between target genes and neuronal apoptosis in cerebral hemorrhage was determined.Finally,the effect of Jianshen Lishui Decoction on miR-153 and the target gene,and finally explored the related mechanism of Jianshen Lishui Decoction on nerve cell apoptosis in rats with cerebral hemorrhage.Results Microarray chip and RT-PCR detection showed that miR-153 was lowly expressed in cerebral hemorrhage(P<0.05),and miR-153 was negatively correlated with neuronal apoptosis(R:-0.875,P=0.0002).The online databases TargetScan and miRDB showed that miR-153 has a binding region with TREM1,and the dual-luciferase reporter gene demonstrated a binding relationship between the two.When miR-153 was overexpressed,the expression of TREM1 was down-regulated,conversely,up-regulated when miR-153 was repressed,and TREM1 was positively correlated with nerve cell apoptosis(R:0.857,P<0.001).The expression of TREM1,the number of nerve cell apoptosis and the score of Neurological Deficit Scores in the Jianshen Lishui Decoction group were lower than those in the model group(P<0.05),and the expression of miR-153 was higher than that in the model group(P<0.05).The expression of TREM1,the number of nerve cell apoptosis and the score of Neurological Deficit Scores in the Jianshen Lishui Decoction +miR-153 inhibition group were higher than those in the Jianshen Lishui Decoction group(P<0.05).Conclusion Jianshen Lishui Decoction inhibits the apoptosis of nerve cells and protects the neurologicalfunctions in rats with cerebral hemorrhage by promoting miR-153 expression and inhibitingTREM1 expression.
9.Epidemiological characteristics of HFMD and gene characteristics of Coxsackievirus A10 VP1 region in Linyi City in 2023
Chunyun JIANG ; Shengxiang JI ; Chuanbao WANG ; Xiangliang LIU ; Deqing YIN ; Ge ZHANG
Chinese Journal of Experimental and Clinical Virology 2024;38(2):150-155
Objective:To understand the pathogenic situation of hand, foot and mouth disease (HFMD) in Linyi City, and to analyze the gene characteristics of Coxsackievirus A10 complete VP1 region.Methods:The samples of HFMD cases from Linyi City in 2023 were tested for typing and strain isolation, and the VP1 gene of CV-A10 isolate was amplified and sequenced. The obtained sequences were compared with those in the NCBI database, and the phylogenetic tree was constructed for gene characteristics and molecular epidemiological analysis.Results:In 2023, a total of 861 samples of HFMD were collected, and 594 (68.99%) were positive for nucleic acid tests. The male to female ratio of positive cases was 1.56∶1. Children under 5 years old accounted for 81.65%, and the highest incidence season was from June to August (83.84%). CV-A6 was the main pathogen (84.51%), followed by CV-A10 (9.93%). The nucleotide and amino acid homology of VP1 gene sequence among 13 isolates were 93.29%-100.00% and 97.65%-100.00%, respectively. The nucleotide and amino acid homology with AF081300-Kowalik/USA/1950 was lower (75.95%-76.62%, 91.72%-92.41%). The amino acid and nucleotide homology with C2c was the highest (94.28%-96.76%, 98.28%-100.00%), and the genetic distance was the closest (0.04-0.06). Amino acid site variation analysis showed that compared with the prototype strain AF081300-Kowalik/USA/1950, the isolates had more site variation, while only some isolates had I80V, E141K, P147S, T219I, E240K and V261I mutations compared with the representative strain C2c. The genetic evolution tree showed that the isolates were all in the same clade as the C2c representative strains, and they all belonged to the C2c genotype, and the isolates were further divided into two smaller clades.Conclusions:In 2023, CV-A6 was the main pathogen of HFMD in Linyi City, followed by CV-A10. All CV-A10 isolates were C2c genotypes and can be divided into two evolutionary clades. Continuous monitoring and genetic characterization of CV-A10 should be strengthened.
10.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.


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