1.Effect Mechanism and Law of Sterilization by 60Co-γ Ray Irradiation on Chemical Composition of Chinese Materia Medica: A Review
Tingting ZHU ; Jian RANG ; Rangyanpo LUO ; Rui GU ; Yue YANG ; Si LU ; Shihong ZHONG
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(18):306-314
		                        		
		                        			
		                        			60Co-γ ray irradiation has the unique advantages of high efficiency, strong penetration, operation at room temperature and no residue, which has been widely used in the sterilization of Chinese medicinal materials, decoction pieces, Chinese patent medicine. However, the irradiation effect may cause changes in the content of chemical components in Chinese materia medica or the emergence of new radiolysis products, leading to reduced efficacy and uncontrollable safety risks. This paper reviewed the relevant literature at home and abroad, summarized the effect of irradiation sterilization on various types of chemical compositions of Chinese medicinal materials and their preparations, and analyzed and explored the rule of change. The results showed that the content changes of various chemical components in Chinese materia medica after 60Co-γ ray irradiation sterilization varied. The contents of most flavonoids, terpenoids, phenylpropanoids and quinones decreased after irradiation, and the degree of decrease increased with the elevated irradiation dose. The contents of lignans, alkaloids, isoflavones and some terpenoids did not change significantly before and after irradiation, while the content changes of triterpenoid saponins, dihydroflavonols, chalcones, sugars and glycosides after irradiation were not yet uniform. Therefore, it is recommended to pay attention to the compositional changes of irradiated Chinese medicines, strengthen the research on the standards of irradiated Chinese medicines, and standardize the irradiation and sterilization of Chinese medicines in order to promote the healthy and rational application of irradiated Chinese medicines. 
		                        		
		                        		
		                        		
		                        	
2.Discriminating Tumor Deposits From Metastatic Lymph Nodes in Rectal Cancer: A Pilot Study Utilizing Dynamic Contrast-Enhanced MRI
Xue-han WU ; Yu-tao QUE ; Xin-yue YANG ; Zi-qiang WEN ; Yu-ru MA ; Zhi-wen ZHANG ; Quan-meng LIU ; Wen-jie FAN ; Li DING ; Yue-jiao LANG ; Yun-zhu WU ; Jian-peng YUAN ; Shen-ping YU ; Yi-yan LIU ; Yan CHEN
Korean Journal of Radiology 2025;26(5):400-410
		                        		
		                        			 Objective:
		                        			To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. 
		                        		
		                        			Materials and Methods:
		                        			A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. 
		                        		
		                        			Results:
		                        			All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). 
		                        		
		                        			Conclusion
		                        			The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer. 
		                        		
		                        		
		                        		
		                        	
3.Discriminating Tumor Deposits From Metastatic Lymph Nodes in Rectal Cancer: A Pilot Study Utilizing Dynamic Contrast-Enhanced MRI
Xue-han WU ; Yu-tao QUE ; Xin-yue YANG ; Zi-qiang WEN ; Yu-ru MA ; Zhi-wen ZHANG ; Quan-meng LIU ; Wen-jie FAN ; Li DING ; Yue-jiao LANG ; Yun-zhu WU ; Jian-peng YUAN ; Shen-ping YU ; Yi-yan LIU ; Yan CHEN
Korean Journal of Radiology 2025;26(5):400-410
		                        		
		                        			 Objective:
		                        			To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. 
		                        		
		                        			Materials and Methods:
		                        			A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. 
		                        		
		                        			Results:
		                        			All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). 
		                        		
		                        			Conclusion
		                        			The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer. 
		                        		
		                        		
		                        		
		                        	
4.Discriminating Tumor Deposits From Metastatic Lymph Nodes in Rectal Cancer: A Pilot Study Utilizing Dynamic Contrast-Enhanced MRI
Xue-han WU ; Yu-tao QUE ; Xin-yue YANG ; Zi-qiang WEN ; Yu-ru MA ; Zhi-wen ZHANG ; Quan-meng LIU ; Wen-jie FAN ; Li DING ; Yue-jiao LANG ; Yun-zhu WU ; Jian-peng YUAN ; Shen-ping YU ; Yi-yan LIU ; Yan CHEN
Korean Journal of Radiology 2025;26(5):400-410
		                        		
		                        			 Objective:
		                        			To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. 
		                        		
		                        			Materials and Methods:
		                        			A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. 
		                        		
		                        			Results:
		                        			All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). 
		                        		
		                        			Conclusion
		                        			The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer. 
		                        		
		                        		
		                        		
		                        	
5.Discriminating Tumor Deposits From Metastatic Lymph Nodes in Rectal Cancer: A Pilot Study Utilizing Dynamic Contrast-Enhanced MRI
Xue-han WU ; Yu-tao QUE ; Xin-yue YANG ; Zi-qiang WEN ; Yu-ru MA ; Zhi-wen ZHANG ; Quan-meng LIU ; Wen-jie FAN ; Li DING ; Yue-jiao LANG ; Yun-zhu WU ; Jian-peng YUAN ; Shen-ping YU ; Yi-yan LIU ; Yan CHEN
Korean Journal of Radiology 2025;26(5):400-410
		                        		
		                        			 Objective:
		                        			To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. 
		                        		
		                        			Materials and Methods:
		                        			A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. 
		                        		
		                        			Results:
		                        			All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). 
		                        		
		                        			Conclusion
		                        			The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer. 
		                        		
		                        		
		                        		
		                        	
6.Discriminating Tumor Deposits From Metastatic Lymph Nodes in Rectal Cancer: A Pilot Study Utilizing Dynamic Contrast-Enhanced MRI
Xue-han WU ; Yu-tao QUE ; Xin-yue YANG ; Zi-qiang WEN ; Yu-ru MA ; Zhi-wen ZHANG ; Quan-meng LIU ; Wen-jie FAN ; Li DING ; Yue-jiao LANG ; Yun-zhu WU ; Jian-peng YUAN ; Shen-ping YU ; Yi-yan LIU ; Yan CHEN
Korean Journal of Radiology 2025;26(5):400-410
		                        		
		                        			 Objective:
		                        			To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. 
		                        		
		                        			Materials and Methods:
		                        			A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. 
		                        		
		                        			Results:
		                        			All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). 
		                        		
		                        			Conclusion
		                        			The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer. 
		                        		
		                        		
		                        		
		                        	
7.Effect of dynamic lung compliance-guided individual positive end-expiratory pressure titration on pulmonary function in elderly patients undergoing laparoscopic colorectal cancer surgery
Jin-Tao SHI ; Juan ZHU ; Jian DENG ; Hui JI ; Qiang YAO ; Weiqian TIAN
The Journal of Clinical Anesthesiology 2024;40(1):36-41
		                        		
		                        			
		                        			Objective To investigate the effects of dynamic lung compliance(Cdyn)-guided indi-vidual positive end-expiratory pressure(PEEP)titration on pulmonary function in elderly patients undergoing laparoscopic colorectal cancer surgery.Methods Sixty-eight elderly patients were selected for laparoscopic radical resection of colorectal cancer,37 males and 31 females,aged 65-79 years,BMI<30 kg/m2,ASA physical status Ⅱ or Ⅲ.The patients were divided into two groups using the random number table method:individualized PEEP group(group P)and control group(group C),34 patients in each group.In group P,the patients received recruitment maneuvers and PEEP titration test at immediately after intubation,immediately after establishing pneumoperitoneum-Trendelenburg position and immediately after pneumoperitoneum.The patients in group C received PEEP 5 cmH2 O during procedure.The three best titra-tion PEEP and the actual tidal volume(VT)in group P were also recorded.PaO2,PaCO2,PETCO2 10 mi-nutes after the tracheal intubation(T1),10 minutes(T2)and 1 hour(T3)after establishing pneumoperito-neum-Trendelenburg position,at the end of the surgery but before extubation(T4)were recorded,and the oxygenation index(OI),physiological dead space to tidal volume(Vd/VT),alveolar arterial oxygen differ-ence(A-aDO2),driving pressure,and Cdyn were calculated.Concentrations of interleukin-8(IL-8),tumor necrosis factor-α(TNF-α),Clara cell secretoyr protein(CC16)and lung alveolar surface active sub-stances-D(SP-D)in the serum samples were determined by ELISA before anesthesia induction(T0)and 10 minutes after extubation(T5).Postoperative pulmonary complications(PPCs)were also recordrd.Results The individualized PEEP of Cdyn?guided PEEP titration was 4 cmH2O. Compared with group C, the PaO2 and OI in group C were significantly increased at T4, the Cdyn was significantly increased at T1,T3, and T4, the driving pressure was significantly decreased at T1 -T4, the serum concentration of CC16 was significantly decreased at T5 ( P < 0. 05). There were no significant differences in PaCO2, PET CO2,A?aDO2, and Vd/ VT between the two groups. There was no severe PPCs in the two groups. Conclusion Pressure?controlled ventilation modes combined with Cdyn?guide PEEP titration can increase the Cdyn, reduce thedriving pressure, and improve OI at the end of the operation, reduce the concentrations of CC16 at postop?eration, improve pulmonary function in elderly patients undergoing laparoscopic colorectal cancer surgery.
		                        		
		                        		
		                        		
		                        	
8.Comparison of pediatric pelvic fractures and associated injuries caused by different types of road traffic accidents
Bao-Jian SONG ; Qiang WANG ; Wei FENG ; Dan-Jiang ZHU ; Xue-Jun ZHANG
Chinese Journal of Traumatology 2024;27(6):372-379
		                        		
		                        			
		                        			Purpose::To explore the clinical characteristics of pediatric pelvic fracturs caused by traffic accidents and to analyze the accompanying injuries and complications.Methods::A total of 222 cases involved traffic accidents was enrolled in this case-control study. The data of children with pelvic fractures caused by traffic accidents who were admitted to our hospital from January 2006 to December 2021 were analyzed retrospectively. Sex, age, Tile classification, abbreviated injury scale score, injury severity score, mortality, and accompanying injuries were studied. The ANOVA was used for measurement data, and the non-parametric rank sum test was used for non-normally distributed data. The Fisher's exact probability method was used for the count data.Results::Of all enrolled cases, 140 are boys and 82 are girls, including 144 cases aged < 6 years, 65 aged between 6 and 12 years, and 13 aged > 12 years. Depending on the injury mechanism, there are 15 cases involving pedestrians vs. motorcycles (PVM), 91 cases involving pedestrians vs. passenger cars (PVC), 78 cases involving pedestrians vs. commercial vehicles (PVV), and 38 cases involving motor vehicles vs. motor vehicles (MVM). Associated injuries are reported in 198 cases (89.2%), primarily involving the abdomen injury in 144 cases (64.9%), and lower limb injury in 99 cases (44.6%). PVV injury involves longer hospital stay ( p =0.004). Intensive care unit admission rate is significantly higher in the MVM group than in other groups ( p =0.004). Head injury ( p =0.001) and face injury ( p =0.037) are more common in the MVM group, whereas abdominal injury ( p =0.048) and lower limb injury ( p =0.037) are more common in the PVV group. In the MVM group, the brain injury ( p =0.004) and femoral neck injury ( p =0.044) are more common. In the PVM group, the mediastinum ( p =0.004), ear ( p =0.009), lumbar vertebrae ( p =0.008), and spinal cord ( p =0.011) are the most vulnerable regions, while in the PVV group, the perineum ( p < 0.001), urethra ( p =0.001), rectum ( p =0.006), anus ( p =0.004), and lower limb soft tissues ( p =0.024) are the most vulnerable regions. Children aged > 12 years have higher pelvic abbreviated injury scale scores ( p =0.019). There are significant differences in the classification of pelvic fractures among children < 6, 6 -12, and > 12 years of age, with Tile C being more likely to occur in children > 12 years of age ( p =0.033). Children aged > 12 years are more likely to sustain injuries to the spleen ( p =0.022), kidneys ( p =0.019), pancreas ( p < 0.001), lumbar vertebrae ( p =0.013), and sacrum ( p =0.024). The MVM group has the highest complication rate ( p =0.003). Conclusion::PVC is the leading cause of the abdomen and lower extremities injury and has the most concomitant injuries. Different traffic injuries often lead to different associated injuries. Older children are more likely to sustain more severe pelvic fractures and peripelvic organs injuries. The MVM group has the highest extent of injury and complication rates.
		                        		
		                        		
		                        		
		                        	
9.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.
		                        		
		                        		
		                        		
		                        	
		                				10.Dimeric phthalides from an aqueous extract of the Angelica sinensis  root head
		                			
		                			Zhao XIA ; You-zhe CHEN ; Cheng-bo XU ; Cheng-gen ZHU ; Xiao-qiang LEI ; Qing-lan GUO ; Jian-gong SHI
Acta Pharmaceutica Sinica 2023;58(4):975-991
		                        		
		                        			
		                        			 Ten dimeric phthalide racemates (
		                        		
		                        	
            
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