1.Rapid health technology assessment of deucravacitinib in the treatment of moderate-to-severe plaque psoriasis
Xing GAO ; Shujing KONG ; Tianya LIU ; Xinran QIU ; Jia HAN
China Pharmacy 2026;37(1):111-116
OBJECTIVE To evaluate the efficacy, safety and cost-effectiveness of deucravacitinib in the treatment of moderate- to-severe plaque psoriasis. METHODS Rapid health technology assessment (HTA) reports, systematic reviews (SR)/meta- analyses, and pharmacoeconomic studies on deucravacitinib for the treatment of moderate-to-severe plaque psoriasis were identified by searching PubMed, Web of Science, Embase, CNKI, Wanfang data and official HTA websites. The search time frame spanned from database inception to July 2025. After literature screening, data extraction, and quality assessment, the study results were subjected to descriptive analysis and synthesis. RESULTS A total of 14 articles were finally included, consisting of 1 HTA report, 10 SR/meta-analyses, and 3 pharmacoeconomic studies. Regarding efficacy, deucravacitinib demonstrated superior efficacy to both placebo and apremilast, with significantly higher response rates for Psoriasis Area and Severity Index 50/75/90/100, Static Physician’ s Global Assessment 0/1, and Dermatology Life Quality Index 0/1, as well as greater reduction in Psoriasis Symptoms and Signs Diary Score (P<0.05). Regarding safety, deucravacitinib was well-tolerated. Although the overall incidence of adverse events (AEs) was higher than placebo, it was not significantly different from apremilast. Moreover, the incidence of serious AEs and the rate of discontinuation due to AEs did not differ significantly from placebo (P>0.05). Regarding cost-effectiveness, deucravacitinib proved to be more cost-effective than apremilast across multiple healthcare system perspectives, including those of the United States, Japan, and China. CONCLUSIONS Deucravacitinib exhibits favorable efficacy, safety, and cost-effectiveness in the treatment of moderate-to-severe plaque psoriasis. Additional real-world studies are warranted to further refine its evaluation.
2.Development and application on a full process disease diagnosis and treatment assistance system based on generative artificial intelligence.
Wanjie YANG ; Hao FU ; Xiangfei MENG ; Changsong LI ; Ce YU ; Xinting ZHAO ; Weifeng LI ; Wei ZHAO ; Qi WU ; Zheng CHEN ; Chao CUI ; Song GAO ; Zhen WAN ; Jing HAN ; Weikang ZHAO ; Dong HAN ; Zhongzhuo JIANG ; Weirong XING ; Mou YANG ; Xuan MIAO ; Haibai SUN ; Zhiheng XING ; Junquan ZHANG ; Lixia SHI ; Li ZHANG
Chinese Critical Care Medicine 2025;37(5):477-483
The rapid development of artificial intelligence (AI), especially generative AI (GenAI), has already brought, and will continue to bring, revolutionary changes to our daily production and life, as well as create new opportunities and challenges for diagnostic and therapeutic practices in the medical field. Haihe Hospital of Tianjin University collaborates with the National Supercomputer Center in Tianjin, Tianjin University, and other institutions to carry out research in areas such as smart healthcare, smart services, and smart management. We have conducted research and development of a full-process disease diagnosis and treatment assistance system based on GenAI in the field of smart healthcare. The development of this project is of great significance. The first goal is to upgrade and transform the hospital's information center, organically integrate it with existing information systems, and provide the necessary computing power storage support for intelligent services within the hospital. We have implemented the localized deployment of three models: Tianhe "Tianyuan", WiNGPT, and DeepSeek. The second is to create a digital avatar of the chief physician/chief physician's voice and image by integrating multimodal intelligent interaction technology. With generative intelligence as the core, this solution provides patients with a visual medical interaction solution. The third is to achieve deep adaptation between generative intelligence and the entire process of patient medical treatment. In this project, we have developed assistant tools such as intelligent inquiry, intelligent diagnosis and recognition, intelligent treatment plan generation, and intelligent assisted medical record generation to improve the safety, quality, and efficiency of the diagnosis and treatment process. This study introduces the content of a full-process disease diagnosis and treatment assistance system, aiming to provide references and insights for the digital transformation of the healthcare industry.
Artificial Intelligence
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Humans
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Delivery of Health Care
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Generative Artificial Intelligence
3.A Survey on the Mental Health Status of Social Workers Under Long-term Stress of COVID-19 and the Exploration of Associated Factors: A Case Study of Chaoyang District, Beijing
Han ZHANG ; Yuan GAO ; Wanxin MA ; Hongxin LIU ; Fanrui MENG ; Danping ZHANG ; Chunyu LIU ; Lu LIU ; Ying XING
Medical Journal of Peking Union Medical College Hospital 2024;15(4):845-854
To study the prevalence of depression, anxiety, and insomnia among social workers during the prolonged battle against the COVID-19 pandemic and explore the associated risk factors. Using a stratified cluster sampling method, we selected all social workers in the five streets of Chaoyang District, Beijing(Jiuxianqiao, Wangjing, Taiyanggong, Shibalidian, Sunhe) from November 2021 to March 2022 as the study population(social worker group), and the frontline medical staffs(medical professional group) of the same age range of the corresponding community hospitals of the same five streets, and the community residents(resident group) as the control population. The ratio of the social worker group, medical professional group, and resident group was 1∶1∶1. The Sojump platform was used to send electronic questionnaires to the wechat groups of social workers, healthcare workers, and community residents to carry out the survey. The screen positive rates for anxiety, depression, and sleep disorders were compared among the 3 groups. Multifactorial Logistic regression and decision tree were used to analyze the influencing factors of anxiety, depression, and sleep disorders among social workers. A total of 954 questionnaires were collected, of which 62 were disqualified and excluded. Finally, 892 valid questionnaires(93.5%) were included for data analysis. Among them, there were 372 questionnaires(41.7%) from the social worker group, 262(29.4%) from the medical professional group, and 258(28.9%) from the resident group. The prevalences of anxiety, depression, and sleep disorders among social workers group were found to be 15.3%, 22.0%, and 48.1%, respectively, which were significantly higher than those in the medical professional group(7.6%, 10.3%, and 30.5%) and the resident group(7.0%, 8.5%, and 29.5%), all Social workers exhibited significant levels of anxiety, depression, and sleep disorders during the long-term pandemic prevention, with CPSS being the most significant influencing factor.
4.Clinical significance of detecting group B Streptococcus from midstream urine culture
Xing-Long CAI ; Xiao-Li CAO ; Jing-Jing LIU ; Shuo GAO ; Han SHEN ; Wan-Qing ZHOU
Chinese Journal of Infection Control 2024;23(3):277-283
Objective To explore the clinical significance and antimicrobial resistance of group B Streptococcus(GBS)isolated from midstream urine culture,aiming to provide a basis for the diagnosis and treatment of clinical urinary tract infection(UTI).Methods Information about GBS strains isolated from midstream urine culture of in-patients and outpatient in a hospital in Nanjing from February 2020 to December 2022 were retrieved through labora-tory information system,strains with complete data were screened out.Case data,urine routine,and antimicrobial susceptibility testing results were reviewed.Results A total of 9 081 non-repetitive bacterial strains were detected from midstream urine culture,including 425 GBS strains,accounting for 4.7%,ranking sixth.Strains with incom-plete data were excluded,a total of 365 patients were included in the study.169(46.3%)were males and 196(53.7%)were females,with an average age of(55.4±15.2)years.365 patients who were detected GBS were from 17 de-partments,with the highest proportion being department of urology(n=237,64.9%).The underlying diseases of patients mainly included hypertension(n=136),diabetes(n=95),urolithiasis(n=120)and urinary tumors(n=98).211 patients underwent urological surgery,all were treated with antimicrobial agents before surgery,and 205 patients underwent indwelling urinary catheters after surgery;9 patients were detected GBS from urine during the middle and advanced stage of pregnancy.36.4%(n=133),38.9%(n=142)and 24.7%(n=90)patients had GBS colony count ≤104 CFU/mL,104-105 CFU/mL,and ≥105 CFU/mL,respectively.Patients with symptoms of UTI accounted for 24.9%(n=91),and asymptomatic bacteriuria accounted for 75.1%(n=274).The incidence of UTI symptoms in males was lower than that in females(19.5%vs 29.6%,P<0.05).As the GBS colony count in urine culture increased,the proportion of patients with symptoms of UTI showed an upward trend(P<0.05).On the day of urine culture,the positive rates of urine routine white blood cells,leukocyte esterase,and nitrite were 53.2%,50.1%,and 3.8%,respectively.The positive rates of urine occult blood,leukocyte esterase,white blood cells,and urine protein in patients with symptomatic UTI were all higher than those with asymptomatic bacteriuria patients(all P<0.05).No GBS were found to be resistant to penicillin,ampicillin,vancomycin,linezolid,and tigecycline.The resistance rate to levofloxacin and moxifloxacin was about 40%,and resistance rate to tetracycline and clindamycin was over 60%.Conclusion GBS isolated from urine is more common in non-pregnant adults,and only a small percentage have symptoms of UTI.The results of urine culture and urine routine should be comprehen-sively judged based on patient's clinical symptoms and signs.GBS in urine is susceptible to multiple antimicrobial agents,and clinical medication should be adopted rationally based on antimicrobial susceptibility testing result.
5.Analysis of drug resistance characteristics of Klebsiella pneumoniae in the nasopharynx of hospitalized patients in North China from 2022 to 2023
Pengfang GAO ; Yanying CHEN ; Yanlei GE ; Xiaoli DU ; Huan XING ; Jiachen LI ; Yuelong LI ; Yating TANG ; Xiao HAN ; Juan LI ; Zhigang CUI ; Haijian ZHOU ; Aiying DONG
Chinese Journal of Preventive Medicine 2024;58(3):306-314
Objective:To analyze the drug resistance characteristics of Klebsiella pneumoniae in the nasopharynx of hospitalized patients in North China from 2022 to 2023. Methods:From November 2022 to July 2023, nasopharyngeal swabs were collected from 100 inpatients in Affiliated Hospital of North China University of Science and Technology, and Klebsiella pneumoniae was isolated and cultured. At the same time, the clinical data of the patients were collected, including gender, age, department, clinical diagnosis of disease type, etc. The minimum inhibitory concentration of strains was detected by an automatic bacterial drug sensitivity system. The drug resistance genes, ST types, capsule serotypes and population structure of the strains were analyzed by whole genome sequencing and data analysis. Results:Klebsiella pneumoniae was isolated from 55 nasopharyngeal swabs of 100 inpatients(55.00%). Among the 55 inpatients with Klebsiella pneumoniae in the nasopharynx, 70.91% (39/55) were male, with an age distribution concentrated between 61 and 80 years old (58.18%, 32/55), and 50.91% (28/55) were in intensive care units (ICU). The main underlying disease type was nervous system disease (49.09%, 27/55). The results of drug sensitivity showed that the non-susceptibility rates of 55 strains of Klebsiella pneumoniae to cephalosporins, quinolones, aztreonam and nitrofurantoin were all more than 80.00%. Twenty-eight carbapenem-resistant Klebsiella pneumoniae strains (50.91%), 47 extended-spectrum β-lactamase producing strains (85.45%), and 48 multi-drug-resistant strains (87.27%) were detected. A total of 11 antibiotic resistance genes were detected, including carbapenems (carrying rate 76.36%) and extended-spectrum β-lactamase (carrying rate 96.36%). The 55 strains could be divided into 17 ST types, and the most common type was ST11 (25.45%). The 55 strains were divided into 18 capsular serotypes, among which K102 was the most prevalent (23.64%). OXA-1_ST307_K102 (21.82%) and KPC-2_ST5492_K125 (18.18%) were the dominant clones, distributed in the Department of Neurosurgery and ICU. The result of whole genome sequence analysis showed that there were four clusters with high homology among the 55 strains. The strains from the ICU formed two independent clusters, and strains from the Neurology ICU and Neurosurgery department formed one cluster respectively. Conclusion:The carrying rate of Klebsiella pneumoniae in the nasopharynx of inpatients is high, and the drug resistance of the strains is serious. There are many types of drug-resistant genes.
6.Molecular characteristics and drug susceptibility analysis of Streptococcus agalactiae from respiratory specimen sources
Xiao HAN ; Xinyi GONG ; Beibei MIAO ; Huan XING ; Zeliang LIU ; Pengfang GAO ; Yuelong LI ; Jiachen LI ; Yating TANG ; Yanlei GE ; Aiying DONG ; Juan LI
Chinese Journal of Preventive Medicine 2024;58(6):891-897
To study the carriage status of drug susceptibility, clonal complex groups, serotypes, surface proteins and virulence genes of Streptococcus agalactiae from respiratory specimen sources. A total of 35 strains of S.agalactiae meeting the criteria were collected from 3 hospitals in 2 locations, Tangshan and Jinan. The age span of the patients was 3 days-92 years, and the percentage of elderly patients≥60 years was 71.5%.The susceptibility to 9 antimicrobial drugs was measured and analyzed using the micro broth dilution method. The strains were 100.0% sensitive to penicillin, linezolid, vancomycin, and ceftriaxone; However, it exhibits high resistance rates to erythromycin, clindamycin and levofloxacin, at 97.1%, 85.7% and 82.9% respectively; and the resistance rates to tetracycline and chloramphenicol were 34.3% and 14.2%, respectively. Genome sequence determination and analysis showed that 16 resistance genes were detected in 35 strains, among which: macrolide and lincosamide resistance genes were mainly ermB, with a carrying rate of 74.2%; tetracycline resistance genes were mainly tetM, with a carrying rate of 25.7%; in addition, the mutation rates of the quinolone resistance determinants gyrA and parC were 88.5% and 85.7%, respectively. 35 strains belonged to 6 ST types and 4 clonal groups, with CC10/ST10 as the main one, accounting for 62.8%; they contained 4 serotypes of Ⅰb, Ⅱ, Ⅲ, and Ⅴ, as well as 1 untyped strain, with serotype Ⅰb as the main one, accounting for 65.7%. The strains carried three pilus types, PI1+PI2a, PI2a and PI2b types, respectively, and detected five surface proteins, alpha, alp1, rib, srr, and r df_0594, and seven virulence factors, cba, cfb, cylE, fbsA, hylB, l mb, and pavA. Overall, S.agalactiae isolated from respiratory tract specimens is predominantly sourced from elderly patients, with CC10 strains being most prevalent. These strains harbor multiple drug-resistant and virulence genes, demonstrating elevated resistance rates to macrolides, lincosamides, and quinolones. This emphasizes the necessity for vigilant attention to the health threat posed by S. agalactiae from respiratory tract speciments of elderly patients.
7.Analysis of drug resistance characteristics of Klebsiella pneumoniae in the nasopharynx of hospitalized patients in North China from 2022 to 2023
Pengfang GAO ; Yanying CHEN ; Yanlei GE ; Xiaoli DU ; Huan XING ; Jiachen LI ; Yuelong LI ; Yating TANG ; Xiao HAN ; Juan LI ; Zhigang CUI ; Haijian ZHOU ; Aiying DONG
Chinese Journal of Preventive Medicine 2024;58(3):306-314
Objective:To analyze the drug resistance characteristics of Klebsiella pneumoniae in the nasopharynx of hospitalized patients in North China from 2022 to 2023. Methods:From November 2022 to July 2023, nasopharyngeal swabs were collected from 100 inpatients in Affiliated Hospital of North China University of Science and Technology, and Klebsiella pneumoniae was isolated and cultured. At the same time, the clinical data of the patients were collected, including gender, age, department, clinical diagnosis of disease type, etc. The minimum inhibitory concentration of strains was detected by an automatic bacterial drug sensitivity system. The drug resistance genes, ST types, capsule serotypes and population structure of the strains were analyzed by whole genome sequencing and data analysis. Results:Klebsiella pneumoniae was isolated from 55 nasopharyngeal swabs of 100 inpatients(55.00%). Among the 55 inpatients with Klebsiella pneumoniae in the nasopharynx, 70.91% (39/55) were male, with an age distribution concentrated between 61 and 80 years old (58.18%, 32/55), and 50.91% (28/55) were in intensive care units (ICU). The main underlying disease type was nervous system disease (49.09%, 27/55). The results of drug sensitivity showed that the non-susceptibility rates of 55 strains of Klebsiella pneumoniae to cephalosporins, quinolones, aztreonam and nitrofurantoin were all more than 80.00%. Twenty-eight carbapenem-resistant Klebsiella pneumoniae strains (50.91%), 47 extended-spectrum β-lactamase producing strains (85.45%), and 48 multi-drug-resistant strains (87.27%) were detected. A total of 11 antibiotic resistance genes were detected, including carbapenems (carrying rate 76.36%) and extended-spectrum β-lactamase (carrying rate 96.36%). The 55 strains could be divided into 17 ST types, and the most common type was ST11 (25.45%). The 55 strains were divided into 18 capsular serotypes, among which K102 was the most prevalent (23.64%). OXA-1_ST307_K102 (21.82%) and KPC-2_ST5492_K125 (18.18%) were the dominant clones, distributed in the Department of Neurosurgery and ICU. The result of whole genome sequence analysis showed that there were four clusters with high homology among the 55 strains. The strains from the ICU formed two independent clusters, and strains from the Neurology ICU and Neurosurgery department formed one cluster respectively. Conclusion:The carrying rate of Klebsiella pneumoniae in the nasopharynx of inpatients is high, and the drug resistance of the strains is serious. There are many types of drug-resistant genes.
8.Molecular characteristics and drug susceptibility analysis of Streptococcus agalactiae from respiratory specimen sources
Xiao HAN ; Xinyi GONG ; Beibei MIAO ; Huan XING ; Zeliang LIU ; Pengfang GAO ; Yuelong LI ; Jiachen LI ; Yating TANG ; Yanlei GE ; Aiying DONG ; Juan LI
Chinese Journal of Preventive Medicine 2024;58(6):891-897
To study the carriage status of drug susceptibility, clonal complex groups, serotypes, surface proteins and virulence genes of Streptococcus agalactiae from respiratory specimen sources. A total of 35 strains of S.agalactiae meeting the criteria were collected from 3 hospitals in 2 locations, Tangshan and Jinan. The age span of the patients was 3 days-92 years, and the percentage of elderly patients≥60 years was 71.5%.The susceptibility to 9 antimicrobial drugs was measured and analyzed using the micro broth dilution method. The strains were 100.0% sensitive to penicillin, linezolid, vancomycin, and ceftriaxone; However, it exhibits high resistance rates to erythromycin, clindamycin and levofloxacin, at 97.1%, 85.7% and 82.9% respectively; and the resistance rates to tetracycline and chloramphenicol were 34.3% and 14.2%, respectively. Genome sequence determination and analysis showed that 16 resistance genes were detected in 35 strains, among which: macrolide and lincosamide resistance genes were mainly ermB, with a carrying rate of 74.2%; tetracycline resistance genes were mainly tetM, with a carrying rate of 25.7%; in addition, the mutation rates of the quinolone resistance determinants gyrA and parC were 88.5% and 85.7%, respectively. 35 strains belonged to 6 ST types and 4 clonal groups, with CC10/ST10 as the main one, accounting for 62.8%; they contained 4 serotypes of Ⅰb, Ⅱ, Ⅲ, and Ⅴ, as well as 1 untyped strain, with serotype Ⅰb as the main one, accounting for 65.7%. The strains carried three pilus types, PI1+PI2a, PI2a and PI2b types, respectively, and detected five surface proteins, alpha, alp1, rib, srr, and r df_0594, and seven virulence factors, cba, cfb, cylE, fbsA, hylB, l mb, and pavA. Overall, S.agalactiae isolated from respiratory tract specimens is predominantly sourced from elderly patients, with CC10 strains being most prevalent. These strains harbor multiple drug-resistant and virulence genes, demonstrating elevated resistance rates to macrolides, lincosamides, and quinolones. This emphasizes the necessity for vigilant attention to the health threat posed by S. agalactiae from respiratory tract speciments of elderly patients.
9.Compositional Analysis and Antitumor Activity of Aqueous Extracts of Polygonatum Cyrtonema Hua
Lu SONG ; Chunye GENG ; Chenyu XING ; Qian WANG ; Yaoyao GUO ; Yanjun CHEN ; Fang WANG ; Guosi LI ; Wei WANG ; Leilei GAO ; Dong LIU ; Bangxing HAN
Traditional Chinese Drug Research & Clinical Pharmacology 2024;35(7):952-962
Objective To analyze the composition of the aqueous extract of Polygonatum Cyrtonema Hua(PCHE)and evaluate its antitumor activity in vitro and in vivo.Our aim is to provide a theoretical basis for the further development and utilization of Polygonatum Cyrtonema Hua.Methods(1)PCHE was prepared by aqueous extraction,and the chemical composition of PCHE was analyzed by UPLC-Q-TOF/MS and phenol-sulfuric acid method.The inhibitory activity on tumor cells proliferation of PCHE was detected by CCK-8 assay.Cell cycle and apoptosis were detected by flow cytometry,and the expression of apoptosis-related proteins Bcl-2 and Bax was detected by Western Blot.The inhibitory activity of PCHE-containing serum on cell proliferation was detected.(2)A B16 tumor-bearing mice model was constructed and model mice were randomly divided into the model group(saline),the positive drug group(CTX:50 mg·kg-1),and PCHE low-,medium-,and high-dose groups(55.9,111.8,223.6 mg·kg-1),and treated by gavage for 7 days.Changes in body weight and tumor volume of mice were observed during the treatment period.The mice were executed after the treatment,and the histopathological changes of heart,liver,spleen,lung,kidney and tumor were observed by hematoxylin-eosin(HE)staining.The protein expression of Bcl-2 and Bax in tumor tissues was detected by immunohistochemistry(IHC).Results The polysaccharide content of PCHE reached(10.07±1.3)%,and the flavonoid content was(0.044±0.004)%,and thirty-nine components were detected by UPLC-Q-TOF/MS,which contained antitumor components such as flavonoids(baicalein,quercetin,luteolin and rutin),organic acids(ferulic acid)and polyphenols(gallic acid),etc.PCHE exhibited the inhibitory effects on Hela,A549,4T1,B16,MFC and HepG2 cells,among which the inhibitory effect on B16 cells was the most significant(P<0.001),and PCHE induced cell cycle arrest at G0/G1 phase in B16 cells(P<0.001).The results of double-staining flow cytometry and Western Blot showed that PCHE significantly promoted apoptosis of B16 cells,decreased the expression of Bcl-2,and promoted the expression of Bax(P<0.01,P<0.001).and PCHE constituents absorbed into blood also had an inhibitory effect on B16 cells(P<0.001).In addition,the results of in vivo activity assay showed that different doses of PCHE could inhibit tumor growth,induce tumor cell necrosis,reduce Bcl-2 expression,and increase Bax expression compared with the model group.Conclusion The ingredients in PCHE are abundant.It contains a variety of antitumor active ingredients,which can inhibit tumor growth,induce tumor cell apoptosis,show strong anti-tumor effects and be worthy of in-depth study.
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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