1.Effectiveness and safety of augmentative plating technique in managing nonunion following intramedullary nailing of long bones in the lower extremity: A systematic review and meta-analysis.
Cong-Xiao FU ; Hao GAO ; Jun REN ; Hu WANG ; Shuai-Kun LU ; Guo-Liang WANG ; Zhen-Feng ZHU ; Yun-Yan LIU ; Wen LUO ; Yong ZHANG ; Yun-Fei ZHANG
Chinese Journal of Traumatology 2025;28(3):164-174
PURPOSE:
To methodically assess the effectiveness of augmentative plating (AP) and exchange nailing (EN) in managing nonunion following intramedullary nailing for long bone fractures of the lower extremity.
METHODS:
PubMed, EMBASE, Web of Science, and the Cochrane Library were searched to gather clinical studies regarding the use of AP and EN techniques in the treatment of nonunion following intramedullary nailing of lower extremity long bones. The search was conducted up until May 2023. The original studies underwent an independent assessment of their quality, a process conducted utilizing the Newcastle-Ottawa scale. Data were retrieved from these studies, and meta-analysis was executed utilizing Review Manager 5.3.
RESULTS:
This meta-analysis included 8 studies involving 661 participants, with 305 in the AP group and 356 in the EN group. The results of the meta-analysis demonstrated that the AP group exhibited a higher rate of union (odds ratio: 8.61, 95% confidence intervals (CI): 4.12 - 17.99, p < 0.001), shorter union time (standardized mean difference (SMD): -1.08, 95% CI: -1.79 - -0.37, p = 0.003), reduced duration of the surgical procedure (SMD: -0.56, 95% CI: -0.93 - -0.19, p = 0.003), less bleeding (SMD: -1.5, 95% CI: -2.81 - -0.18, p = 0.03), and a lower incidence of complications (relative risk: -0.17, 95% CI: -0.27 - -0.06, p = 0.001). In the subgroup analysis, the time for union in the AP group in nonisthmal and isthmal nonunion of lower extremity long bones was shorter compared to the EN group (nonisthmal SMD: -1.94, 95% CI: -3.28 - -0.61, p < 0.001; isthmal SMD: -1.08, 95% CI: -1.64 - -0.52, p = 0.002).
CONCLUSION
In the treatment of nonunion in diaphyseal fractures of the long bones in the lower extremity, the AP approach is superior to EN, both intraoperatively (with reduced duration of the surgical procedure and diminished blood loss) and postoperatively (with an elevated union rate, shorter union time, and lower incidence of complications). Specifically, in the management of nonunion of lower extremity long bones with non-isthmal and isthmal intramedullary nails, AP demonstrated shorter union time in comparison to EN.
Humans
;
Bone Nails/adverse effects*
;
Bone Plates/adverse effects*
;
Femoral Fractures/surgery*
;
Fracture Fixation, Intramedullary/methods*
;
Fractures, Ununited/surgery*
;
Lower Extremity/injuries*
2.Analysis of risk factors, pathogenic bacteria characteristics, and drug resistance of postoperative surgical site infection in adults with limb fractures.
Yan-Jun WANG ; Zi-Hou ZHAO ; Shuai-Kun LU ; Guo-Liang WANG ; Shan-Jin MA ; Lin-Hu WANG ; Hao GAO ; Jun REN ; Zhong-Wei AN ; Cong-Xiao FU ; Yong ZHANG ; Wen LUO ; Yun-Fei ZHANG
Chinese Journal of Traumatology 2025;28(4):241-251
PURPOSE:
We carried out the study aiming to explore and analyze the risk factors, the distribution of pathogenic bacteria, and their antibiotic-resistance characteristics influencing the occurrence of surgical site infection (SSI), to provide valuable assistance for reducing the incidence of SSI after traumatic fracture surgery.
METHODS:
A retrospective case-control study enrolling 3978 participants from January 2015 to December 2019 receiving surgical treatment for traumatic fractures was conducted at Tangdu Hospital of Air Force Medical University. Baseline data, demographic characteristics, lifestyles, variables related to surgical treatment, and pathogen culture were harvested and analyzed. Univariate analyses and multivariate logistic regression analyses were used to reveal the independent risk factors of SSI. A bacterial distribution histogram and drug-sensitive heat map were drawn to describe the pathogenic characteristics.
RESULTS:
Included 3978 patients 138 of them developed SSI with an incidence rate of 3.47% postoperatively. By logistic regression analysis, we found that variables such as gender (males) (odds ratio (OR) = 2.012, 95% confidence interval (CI): 1.235 - 3.278, p = 0.005), diabetes mellitus (OR = 5.848, 95% CI: 3.513 - 9.736, p < 0.001), hypoproteinemia (OR = 3.400, 95% CI: 1.280 - 9.031, p = 0.014), underlying disease (OR = 5.398, 95% CI: 2.343 - 12.438, p < 0.001), hormonotherapy (OR = 11.718, 95% CI: 6.269 - 21.903, p < 0.001), open fracture (OR = 29.377, 95% CI: 9.944 - 86.784, p < 0.001), and intraoperative transfusion (OR = 2.664, 95% CI: 1.572 - 4.515, p < 0.001) were independent risk factors for SSI, while, aged over 59 years (OR = 0.132, 95% CI: 0.059 - 0.296, p < 0.001), prophylactic antibiotics use (OR = 0.082, 95% CI: 0.042 - 0.164, p < 0.001) and vacuum sealing drainage use (OR = 0.036, 95% CI: 0.010 - 0.129, p < 0.001) were protective factors. Pathogens results showed that 301 strains of 38 species of bacteria were harvested, among which 178 (59.1%) strains were Gram-positive bacteria, and 123 (40.9%) strains were Gram-negative bacteria. Staphylococcus aureus (108, 60.7%) and Enterobacter cloacae (38, 30.9%) accounted for the largest proportion. The susceptibility of Gram-positive bacteria to Vancomycin and Linezolid was almost 100%. The susceptibility of Gram-negative bacteria to Imipenem, Amikacin, and Meropenem exceeded 73%.
CONCLUSION
Orthopedic surgeons need to develop appropriate surgical plans based on the risk factors and protective factors associated with postoperative SSI to reduce its occurrence. Meanwhile, it is recommended to strengthen blood glucose control in the early stage of admission and for surgeons to be cautious and scientific when choosing antibiotic therapy in clinical practice.
Humans
;
Surgical Wound Infection/epidemiology*
;
Male
;
Female
;
Risk Factors
;
Retrospective Studies
;
Middle Aged
;
Adult
;
Case-Control Studies
;
Fractures, Bone/surgery*
;
Aged
;
Drug Resistance, Bacterial
;
Logistic Models
;
Anti-Bacterial Agents/therapeutic use*
;
Incidence
;
Bacteria/drug effects*
3.The Mechanism of Iron in Lymphocyte and Plasma Cell Diseases--Review.
Shu-Lin LUO ; Fei-Fei YANG ; Yan-Li XU
Journal of Experimental Hematology 2025;33(2):601-605
As an important trace element, iron is involved in a variety of physiological processes. In recent years, studies have found that the occurrence and development of tumors are closely related to abnormal iron metabolism, and the mode of action is obviously heterogeneous. Tumor cells need more iron to promote their survival and proliferation, but iron overload can also have adverse effects on tumor cells, such as ferroptosis. Ferroptosis is a special regulatory mechanism of cell death, which is different from other regulated cell death pathways. It mainly induces cell death through excessive accumulation of iron-dependent lipid peroxide and reactive oxygen species (ROS). Recent studies have found that in the blood system, tumor cells of lymphoma and multiple myeloma (MM) are more sensitive to ferroptosis and affect disease progression through a variety of mechanisms. In this review, the mechanisms of ferroptosis in some subtypes of lymphoma and MM are described in detail, and the correlation between ferroptosis of hematological tumor cells and the occurrence and development of hematological tumors is revealed, aiming to provide new ideas for the treatment of these hematological diseases.
Humans
;
Iron/metabolism*
;
Ferroptosis
;
Multiple Myeloma/metabolism*
;
Lymphoma/metabolism*
;
Reactive Oxygen Species/metabolism*
;
Lymphocytes
4.Erratum: Author correction to "PRMT6 promotes tumorigenicity and cisplatin response of lung cancer through triggering 6PGD/ENO1 mediated cell metabolism" Acta Pharm Sin B 13 (2023) 157-173.
Mingming SUN ; Leilei LI ; Yujia NIU ; Yingzhi WANG ; Qi YAN ; Fei XIE ; Yaya QIAO ; Jiaqi SONG ; Huanran SUN ; Zhen LI ; Sizhen LAI ; Hongkai CHANG ; Han ZHANG ; Jiyan WANG ; Chenxin YANG ; Huifang ZHAO ; Junzhen TAN ; Yanping LI ; Shuangping LIU ; Bin LU ; Min LIU ; Guangyao KONG ; Yujun ZHAO ; Chunze ZHANG ; Shu-Hai LIN ; Cheng LUO ; Shuai ZHANG ; Changliang SHAN
Acta Pharmaceutica Sinica B 2025;15(4):2297-2299
[This corrects the article DOI: 10.1016/j.apsb.2022.05.019.].
5.Identifying High-Risk Areas for Type 2 Diabetes Mellitus Mortality in Guangdong, China: Spatiotemporal Clustering and Socioenvironmental Determinants.
Hai Ming LUO ; Wen Biao HU ; Yan Jun XU ; Xue Yan ZHENG ; Qun HE ; Lu LYU ; Rui Lin MENG ; Xiao Jun XU ; Fei ZOU
Biomedical and Environmental Sciences 2025;38(5):585-597
OBJECTIVE:
This study aimed to identify high-risk areas for type 2 diabetes mellitus (T2DM) mortality to provide relevant evidence for interventions in emerging economies.
METHODS:
Empirical Bayesian Kriging and a discrete Poisson space-time scan statistic were applied to identify the spatiotemporal clusters of T2DM mortality. The relationships between economic factors, air pollutants, and the mortality risk of T2DM were assessed using regression analysis and the Poisson Log-linear Model.
RESULTS:
A coastal district in East Guangdong, China, had the highest risk (Relative Risk [RR] = 4.58, P < 0.01), followed by the 10 coastal districts/counties in West Guangdong, China (RR = 2.88, P < 0.01). The coastal county in the Pearl River Delta, China (RR = 2.24, P < 0.01), had the third-highest risk. The remaining risk areas were two coastal counties in East Guangdong, 16 districts/counties in the Pearl River Delta, and two counties in North Guangdong, China. Mortality due to T2DM was associated with gross domestic product per capita (GDP per capita). In pilot assessments, T2DM mortality was significantly associated with carbon monoxide.
CONCLUSION
High mortality from T2DM occurred in the coastal areas of East and West Guangdong, especially where the economy was progressing towards the upper middle-income level.
Diabetes Mellitus, Type 2/epidemiology*
;
China/epidemiology*
;
Humans
;
Risk Factors
;
Spatio-Temporal Analysis
;
Air Pollutants/analysis*
;
Socioeconomic Factors
;
Bayes Theorem
;
Female
;
Male
;
Middle Aged
6.Design of a mammography X-ray image classification assistant system adapted to Chinese population
Changjin SUN ; Fei TONG ; Yi WU ; Yuting WANG ; Junjie LUO ; Yan GONG ; Mingguo QIU ; Liang QIAO
Journal of Army Medical University 2025;47(1):92-99
Objective To construct a mammography image classification assistant system suitable for Chinese population,and explore the potential of artificial intelligence technology to assist early screening of breast cancer in China.Methods Curated breast imaging subset of digital database for screening mammography(CBIS-DDSM),Mammographic image analysis society database(MIAS)and other international open datasets were used to conduct model training respectively in order to reproduce the mainstream in-depth learning methods in the current literature.The model was also tested on the Chinese breast mammography database(CBMD)provided by Huajiao Technology Co.,Ltd,and the performance was compared.Aiming at the problem that the Chinese population data are not ideal in the performance test of the open dataset training model,an optimization strategy based on the sliding window adjustment mechanism was implemented in combination with the characteristics of Chinese population data.Then a two-stage migration learning method was designed to improve the overall performance of the model,and then development of our system was carried out.Results With the sliding window adjustment mechanism and the CBMD training model after two-stage transfer learning,the accuracy of our developed system was improved from 0.50 of the open datasets to 0.80,precision from 0.54 to 0.82,sensitivity from 0.52 to 0.80,F1 value from 0.52 to 0.80,and AUC value from 0.51 to 0.89 based on the Chinese population dataset as the test set.Conclusion Through the introduction of sliding window adjustment mechanism and two-stage migration learning strategy,the performance of the breast molybdenum target image classification model has been significantly improved in the Chinese population dataset,and our system primarily achieves the purpose of assisting the classification of breast molybdenum target images for the Chinese population.
7.Efficacy Analysis of BMD,T-scores,HU Values,and Modified VBQ Scores in Predicting Thoracolumbar Fragility Fractures
Shixin XU ; Rongshuang YAN ; Cheng PAN ; Yang LUO ; Derui FEI ; Quan LI ; Ying ZHANG
Journal of Kunming Medical University 2025;46(8):58-64
Objective To investigate the differences in BMD,T-scores,lumbar HU values,and modified VBQ scores in patients with thoracolumbar fractures,analyze their correlations,and evaluate their predictive efficacy for thoracolumbar fractures.Methods Patients with thoracolumbar fragility fractures and hospitalized in the Department of Orthopedics at the Second Affiliated Hospital of Kunming Medical University from January 2022 to March 2025 were retrospectively enrolled.Among them,132 eligible patients were divided into the fracture group(n=63)and the non-fracture group(n=69).BMD and T-scores of L1~L4 vertebrae were measured via DEXA,lumbar HU values were obtained from CT scans,and modified VBQ scores were calculated using lumbar MRI.Intergroup comparisons were performed using independent samples t-tests.Pearson's correlation analysis was used to assess the relationships among BMD,T-scores,HU values,and modified VBQ scores.Receiver operating characteristic(ROC)curve analysis was conducted to evaluate their predictive performance for thoracolumbar fractures.Results The fracture group exhibited significantly lower mean BMD,T-scores,and HU values in L1~L4 compared to the non-fracture group,while modified VBQ scores were significantly higher(P<0.001).Correlation analysis revealed a significant positive correlation between BMD,T-scores,and HU values in L1~L4,whereas all three parameters showed a significant negative correlation with modified VBQ scores(P<0.001).The AUC values for predicting thoracolumbar fractures were 0.826(T-score),0.836(BMD),0.759(HU value),and 0.875(modified VBQ score),with optimal cutoff thresholds of-1.65(T-score),0.836 g/cm2(BMD),68.4(HU value),and 3.01(modified VBQ score),respectively.Conclusion BMD,T-scores,HU values,and modified VBQ scores in L1~L4 vertebrae are significantly correlated and can serve as the predictive indicators for thoracolumbar fractures.Among them,the modified VBQ score demonstrates the best predictive performance,making it a valuable auxiliary tool for assessing the vertebral bone quality.
8.Predictive value of cardiac magnetic resonance imaging for adverse left ventricular remodeling after acute ST-segment elevation myocardial infarction
Jianing CUI ; Wenjia LIU ; Fei YAN ; Yanan ZHAO ; Weijie CHEN ; Chuncai LUO ; Xinghua ZHANG ; Tao LI
Journal of Southern Medical University 2024;44(3):553-562
Objective To assess the value of cardiac magnetic resonance(CMR)imaging for predicting adverse left ventricular remodeling in patients with ST-segment elevation myocardial infarction(STEMI).Methods We retrospectively analyzed the clinical data and serial CMR(cine and LGE sequences)images of 86 STEMI patients within 1 week and 5 months after percutaneous coronary intervention(PCI),including 25 patients with adverse LV remodeling and 61 without adverse LV remodeling,defined as an increase of left ventricular end-systolic volume(LVESV)over 15%at the second CMR compared to the initial CMR.The CMR images were analyzed for LV volume,infarct characteristics,and global and infarct zone myocardial function.The independent predictors of adverse LV remodeling following STEMI were analyzed using univariate and multivariate Logistic regression methods.Results The initial CMR showed no significant differences in LV volume or LV ejection fraction(LVEF)between the two groups,but the infarct mass and microvascular obstructive(MVO)mass were significantly greater in adverse LV remodeling group(P<0.05).Myocardial injury and cardiac function of the patients recovered over time in both groups.At the second CMR,the patients with adverse LV remodeling showed a significantly lower LVEF,a larger left ventricular end-systolic volume index(LVESVI)and a greater extent of infarct mass(P<0.001)with lower global peak strains and strain rates in the radial,circumferential,and longitudinal directions(P<0.05),infarct zone peak strains in the 3 directions,and infarct zone peak radial and circumferential strain rates(P<0.05).The independent predictors for adverse LV remodeling following STEMI included the extent of infarct mass(AUC=0.793,95%CI:0.693-0.873;cut-off value:30.67%),radial diastolic peak strain rate(AUC=0.645,95%CI:0.534-0.745;cut-off value:0.58%),and RAAS inhibitor(AUC= 0.699,95%CI:0.590-0.793).Conclusion The extent of infarct mass,peak radial diastolic strain rate,and RAAS inhibitor are independent predictors of adverse LV remodeling following STEMI.
9.Predictive value of cardiac magnetic resonance imaging for adverse left ventricular remodeling after acute ST-segment elevation myocardial infarction
Jianing CUI ; Wenjia LIU ; Fei YAN ; Yanan ZHAO ; Weijie CHEN ; Chuncai LUO ; Xinghua ZHANG ; Tao LI
Journal of Southern Medical University 2024;44(3):553-562
Objective To assess the value of cardiac magnetic resonance(CMR)imaging for predicting adverse left ventricular remodeling in patients with ST-segment elevation myocardial infarction(STEMI).Methods We retrospectively analyzed the clinical data and serial CMR(cine and LGE sequences)images of 86 STEMI patients within 1 week and 5 months after percutaneous coronary intervention(PCI),including 25 patients with adverse LV remodeling and 61 without adverse LV remodeling,defined as an increase of left ventricular end-systolic volume(LVESV)over 15%at the second CMR compared to the initial CMR.The CMR images were analyzed for LV volume,infarct characteristics,and global and infarct zone myocardial function.The independent predictors of adverse LV remodeling following STEMI were analyzed using univariate and multivariate Logistic regression methods.Results The initial CMR showed no significant differences in LV volume or LV ejection fraction(LVEF)between the two groups,but the infarct mass and microvascular obstructive(MVO)mass were significantly greater in adverse LV remodeling group(P<0.05).Myocardial injury and cardiac function of the patients recovered over time in both groups.At the second CMR,the patients with adverse LV remodeling showed a significantly lower LVEF,a larger left ventricular end-systolic volume index(LVESVI)and a greater extent of infarct mass(P<0.001)with lower global peak strains and strain rates in the radial,circumferential,and longitudinal directions(P<0.05),infarct zone peak strains in the 3 directions,and infarct zone peak radial and circumferential strain rates(P<0.05).The independent predictors for adverse LV remodeling following STEMI included the extent of infarct mass(AUC=0.793,95%CI:0.693-0.873;cut-off value:30.67%),radial diastolic peak strain rate(AUC=0.645,95%CI:0.534-0.745;cut-off value:0.58%),and RAAS inhibitor(AUC= 0.699,95%CI:0.590-0.793).Conclusion The extent of infarct mass,peak radial diastolic strain rate,and RAAS inhibitor are independent predictors of adverse LV remodeling following STEMI.
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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