1.Association between ambient ozone exposure during pregnancy and risk of preterm birth in Guangdong Province
Peng HU ; Shanshan RAN ; Qingmei LIN ; Yin YANG ; Zilong ZHANG ; Xiaoling GUO ; Yonggui GAO ; Jinde ZHAO ; Hualiang LIN
Journal of Environmental and Occupational Medicine 2025;42(4):379-384
Background Air pollution exposure has a significant impact on maternal and child health. However, the research on the association between ambient ozone (O3) exposure during pregnancy and the risk of premature birth in newborns is limited, and the conclusions are inconsistent. Objective To investigate the association of ambient O3 exposure during pregnancy with the risk of preterm birth in Guangdong Province. Methods Data of pregnant women in Guangzhou from 2013 to 2019 and Foshan from 2018 to 2023 were collected, and O3 concentrations during different trimesters were assessed according to maternal residential addresses. Bilinear interpolation was used to evaluate the concentrations of air pollution. A cohort study design was adopted in our study. Restricted cubic spline curves were used to evaluate the exposure-response relationship between O3 exposure and preterm birth risk and explore potential exposure threshold of O3. Logistic regression models were used to evaluate the association of O3 exposure with preterm birth. Results A total of 702 924 pregnant women were included in this study, of whom 43 051 (6.12%) were preterm. The average O3 exposure concentrations of pregnant women during the first, second, third, and whole trimesters were 95.51, 97.51, 100.60, and 97.87 μg·m−3, respectively. We observed J-shaped associations between O3 exposure and preterm birth risk during the second, third, and whole trimesters of pregnancy using restricted cubic spline curves. This study found that there were threshold concentrations between O3 exposure and preterm birth risk during different gestational periods, and the threshold concentrations in the first, second, third, and whole trimesters were 112.32, 99.83, 111.74, and 112.46 μg·m−3, respectively. During the second, third, and whole trimesters of pregnancy, after adjusting for maternal age, baby sex, pre-pregnancy body mass index, mode of delivery, baby birth weight, gestational diabetes, and gestational hypertension, the odds ratios (OR) of preterm birth were 1.02 (95%CI: 1.01, 1.04), 1.02 (95%CI: 1.00, 1.03), and 1.17 (95%CI: 1.13, 1.21) for each 10 μg·m−3 increase in O3 concentration above the O3 threshold. No significant association was found between O3 exposure and the risk of preterm birth during the first trimester. Conclusion There is a nonlinear association between the risk of preterm birth and O3 exposure during pregnancy, and higher concentrations of O3 exposure during pregnancy are associated with the risk of preterm birth. Above the O3 threshold concentration during pregnancy, especially during the second, third, and whole trimesters, the risk of preterm birth elevates with the increase of O3 exposure concentrations.
2.Qualitative study on delayed medical treatment in patients with polycystic ovary syndrome from the perspective of treatment pathway theory
Caiqi LIU ; Jing WANG ; Haiming YANG ; Ning ZHANG ; Fangfang MENG ; Yurong MA ; Xiaoling SUN
Chinese Journal of Modern Nursing 2024;30(32):4393-4398
Objective:To explore the reasons for delayed medical treatment in patients with polycystic ovary syndrome (PCOS) using the treatment pathway theory as a framework, and to propose corresponding strategies to guide timely medical care for PCOS patients.Methods:Purposeful sampling was used to select 14 PCOS patients who sought treatment at Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School between November 2022 and May 2023. Semi-structured interviews were conducted, and directed content analysis was applied to analyze and extract data.Results:The delay in seeking medical treatment for PCOS patients ranged from five to 60 months. Four main themes and 11 sub-themes were identified as reasons for treatment delays: misconception and delayed recognition of the disease (misunderstanding of symptoms, intermittent symptom presentation) ; delayed seeking of medical help (mismanagement of symptoms, feelings of shame, role conflict, distance and financial constraints, lack of social support) ; delayed diagnosis by healthcare providers (misdiagnosis by healthcare providers, lack of medical resources and services) ; and delayed participation in treatment (lack of health education from medical staff, no immediate fertility needs) .Conclusions:Delays in seeking medical care for PCOS patients are common. Efforts should be made to enhance public education on PCOS for adolescent and reproductive-age women, emphasize the management of the disease in patients without immediate fertility needs, improve primary healthcare institutions' capacity for managing PCOS, and mobilize the social support system to encourage patients to seek medical treatment early, thus reducing the occurrence of delayed medical care.
3.Lipoic acid induced insulin autoimmune syndrome:a case report
Zhilian SUN ; Xiaoling CHENG ; Guimei ZHENG
Chinese Journal of Diabetes 2024;32(10):778-781
Insulin autoimmune syndrome(IAS),also known as autoimmune hypoglycemia,is one of the rare causes of hypoglycemia.Here,we described a case of a 57-year-old patient with type 2 diabetes mellitus who experienced recurrent and irregular severe hypoglycemic events after using lipoic acid.His insulin autoantibodies changed from negative to positive,and no pathogenic variation or suspected pathogenic variation related to the clinical feature of the subject was detected by gene test.Eventually,the patient was diagnosed as IAS.
4.A meta-analysis of symptom improvement effects of Internet-delivered cognitive-behavioral therapy in breast cancer survivors
Lili YU ; Han SONG ; Huining WANG ; Xiaoling SUN
Chinese Journal of Nursing 2024;59(10):1248-1255
Objective To systematically evaluate the efficacy of Internet-delivered cognitive-behavioral therapy in improving symptoms of breast cancer survivors.Methods Randomized controlled trials of Intemet-delivered cognitive-behavioral therapy for breast cancer survivors were searched in PubMed,Embase,Cochrane Library,PsycINF0,Web of Science,CNKI,VIP database,Wanfang database and Sinomed.Literature retrieval time was from the inception of the databases to February 2023.According to the inclusion and exclusion criteria,2 researchers independently screened the literature,extracted the data and evaluated the methodological quality,and used RevMan5.4 software for Meta-analysis.Results A total of 11 articles and 1476 cases were included.The results of the meta-analysis showed that the anxiety[SMD=-0.20,95%CI(-0.31~-0.10),P<0.001],depression[SMD=-0.16,95%CI(-0.27~-0.05),P=0.006],sleep quality[SMD=0.45,95%CI(0.25~0.66),P<0.001],insomnia symptoms[SMD=-0.71,95%CI(-1.36~-0.06),P=0.030],fatigue symptoms[SMD=-0.22,95%CI(-0.37~-0.07),P=0.004],menopausal symptoms[MD=2.27,95%CI(0.77~3.76),P=0.003],sexual function[SMD=0.20,95%CI(0.02~0.37),P=0.020]and quality of life[SMD=0.24,95%CI(0.12~0.36),P<0.001]of breast cancer survivors who received the Intemet-delivered cognitive-behavioral therapy intervention were better than those in the control group at the end of the intervention,and the differences were statistically significant.The outcome measures that could be analyzed by subgroups were integrated.The results showed that anxiety[SMD=-0.15,95%CI(-0.28~-0.01),P=0.030],depression[SMD=-0.16,95%CI(-0.29~-0.03),P=0.020],sleep quality[SSMD=0.36,95%CI(0.16-0.57),P<0.001]and quality of life[SMD=0.21,95%CI(0.06~0.36),P=0.006]in the intervention group were better than those in the control group at 6 months after baseline,and the differences were statistically significant.Conclusion The application of Internet-delivered cognitive-behavioral therapy can help reduce anxiety,depression and other negative emotions in breast cancer survivors,and it can effectively improve the quality of sleep and reduce insomnia symptoms.It can also reduce menopausal symptoms in breast cancer survivors,improve sexual function,and effectively improve the quality of life of patients.
5.Correlation between body fat distribution measured by quantitative CT and body mass index in adults receiving physical examination
Yang ZHOU ; Yongbing SUN ; Qi QIAO ; Xin QI ; Yawei DU ; Zhonglin LI ; Zhi ZOU ; Xiaoling WU ; Jing ZHOU ; Min QU ; Xiaolin ZHANG ; Yong WANG ; Shewei DOU ; Hongming LIU ; Fengshan YAN ; Jiadong ZHU ; Yongli LI
Chinese Journal of Health Management 2024;18(5):354-360
Objective:To analyze the correlation between body fat distribution measured by quantitative CT (QCT) and body mass index in adults receiving physical examination.Methods:It was a cross-sectional study. From January to December 2021, 3 205 adults undergoing physical examination who met the inclusion criteria and underwent chest CT and QCT examination in the health management discipline of Henan Provincial People′s Hospital were selected as the research objects. The general data were collected; and the subcutaneous fat area, visceral fat area, total abdominal fat area, liver fat content, abdominal obesity and fatty liver detection rate were measured by QCT. According to body mass index, the subjects were divided into normal group (18.5-<24.0 kg/m 2, 1 343 cases), overweight group (24.0-<28.0 kg/m 2, 1 427 cases) and obesity group (≥28.0 kg/m 2, 435 cases). One-way analysis of variance and χ2 test were used to compare the differences of QCT indexes among the three groups. Pearson and Spearman correlation analysis were used to evaluate the correlation between QCT indexes and body mass index. Receiver operating characteristic (ROC) curve was drawn to analyze the diagnostic effect of QCT on obesity and fatty liver. Results:Subcutaneous fat area, visceral fat area, total abdominal fat area, liver fat content, abdominal obesity and fatty liver detection rate in obese group were all significantly higher than those in overweight group and normal group [males, (147.60±46.44) vs (104.33±27.68), (73.46±22.65) cm 2; (297.46±54.70) vs (229.40±53.12), (159.57±49.68) cm 2; (445.06±70.24) vs (333.73±62.91), (233.02±61.87) cm 2; 11.30% (7.90%, 15.55%) vs 8.75% (6.50%, 11.70%), 6.60% (4.80%, 8.70%); 100.0% vs 96.0%, 64.0%; 92.9% vs 86.7%, 73.3%; females, (213.96±48.61) vs (155.85±35.31), (107.24±31.01) cm 2; (185.41±43.88) vs (142.48±41.75), (96.56±36.50) cm 2; (399.37±68.07) vs (298.33±56.86), (203.80±57.53) cm 2; 9.80% (6.90%, 13.30%) vs 7.30% (5.05%, 9.80%), 5.40%(3.50%, 7.20%); 96.4% vs 74.8%, 28.9%; 87.3% vs 75.6%, 56.5%], and were all positively correlated with body mass index (males, r/ rs=0.709, 0.738, 0.831, 0.402, 0.464, 0.225; females, r/ rs=0.798, 0.695, 0.841, 0.416, 0.605, 0.276) (all P<0.001). In both male and female subjects, the detection rates of obesity based on QCT were significantly higher than those based on body mass index (male, 86.9% vs 16.6%; female, 49.3% vs 8.9%), and the detection rates of fatty liver based on QCT were significantly higher than those based on ultrasound (male, 83.6% vs 57.1%; female, 65.2% vs 27.6%) (all P<0.001). ROC curve showed that when the visceral fat area of 142 cm 2 was used as the cut-off value for the diagnosis of obesity in male subjects, the sensitivity and specificity was 100% and 15.8%, respectively; and when the cut-off value of liver fat content 5.0% was used to diagnose fatty liver, the sensitivity and specificity was 88.9% and 25.1%, respectively. When the visceral fat area of 115 cm 2 was set as the cut-off value for the diagnosis of obesity in female subjects, the sensitivity and specificity was 96.4% and 55.3%, respectively; when the liver fat content of 5.0% was set as the cut-off value for the diagnosis of fatty liver, the sensitivity and specificity was 83.7% and 43.2%, respectively. Conclusions:The indexes of abdominal fat and liver fat measured by QCT in adults receiving physical examination are all positively correlated with body mass index. The effect of QCT in the diagnosis of obesity and fatty liver are both better than body mass index and ultrasound.
6.Quantitative CT study of fat distribution in normal weight population
Yang ZHOU ; Qi QIAO ; Yongbing SUN ; Xin QI ; Yawei DU ; Zhonglin LI ; Zhi ZOU ; Xiaoling WU ; Jing ZHOU ; Min QU ; Xiaolin ZHANG ; Yong WANG ; Shewei DOU ; Hongming LIU ; Fengshan YAN ; Gong ZHANG ; Jiadong ZHU ; Yongli LI
Chinese Journal of Health Management 2024;18(6):410-415
Objective:To analyze the distribution of body fat with quantitative computed tomography (QCT) in people with normal body mass index (BMI).Methods:A cross-sectional study was conducted in the physical examination population who underwent chest CT and QCT examination in the Department of Health Management, Henan Provincial People′s Hospital from January to December in 2021, and 1 395 physical examination subjects who met the inclusion criteria were selected as the research subjects. The subjects were divided into five groups according to their age. The general data of the subjects were collected. The total abdominal fat area (TFA), visceral fat area (VFA), subcutaneous fat area (SFA), total abdominal muscle area (TMA) and muscle fat content (MFC) in the subjects were measured by QCT. One-way analysis of variance, Welch test and Kruskal-Wallis test were used to compare the above QCT measurement indexes between the two genders among different age groups with normal BMI. Pearson correlation analysis was used to analyze the correlation between VFA and sarcopenia indexes. Multivariate linear regression was used to analyze the relationship between VFA and linear correlation variables in the related indicators of sarcopenia.Results:There were significant differences in TFA, VFA, TMA and SMI among different age groups in subjects with normal BMI (all P<0.05). Pearson correlation analysis showed that VFA was negatively correlated with TMA in some age groups (male: 18-39 years group: r=-0.351; 40-49 years group: r=-0.278; 60-69 years group: r=-0.245; female:40-49 years group: r=-0.251; 50-59 years group: r=-0.270;≥70 years group: r=-0.391; all P<0.01); it was negatively correlated with SMI (male: 18-39 years group: r=-0.352; 40-49 years group: r=-0.340; 50-59 years group: r=-0.266; 60-69 years group: r=-0.316; female: 40-49 years group: r=-0.240; 50-59 years group: r=-0.284; all P<0.001); it was positively correlated with MFC (male: 18-39 years group: r=0.342; 40-49 years group: r=0.291; female: 50-59 years group: r=0.133; 60-69 years group: r=0.284; all P<0.05). Multivariate linear regression analysis showed that VFA was independently and negatively correlated with SMI in both men and women after adjusting for age interference factors (male B=-1.881, t=-6.025, P<0.001; female B=-0.603, t=-2.887, P=0.004), and it was independently positively correlated with MFC (male B=1.230, t=4.271, P<0.001;female B=0.893, t=3.836, P<0.001). There was an independent negative correlation between VFA and TMA in male subjects ( B=0.263, t=2.478, P=0.013). Conclusions:VFA is correlated with TMA, SMI and MFC in people with normal BMI. Regardless of gender, SMI has a negative effect on VFA, and MFC has a positive effect on VFA.
7.Association of systemic immunity-inflammation index with the risk of hyperuricemia: A cohort study
Xiaoling XIE ; Xinlei MIAO ; Manling HU ; Shuang LIU ; Ziping SONG ; Yuting SUN ; Guimin TANG ; Qianqian WANG ; Song LENG
Chinese Journal of Endocrinology and Metabolism 2024;40(10):844-850
Objective:To explore the correlation between systemic immunity-inflammation index(SII) and hyperuricemia(HUA).Methods:Participants who had at least 3 health checkups in the Health Management Center of the Second Affiliated Hospital of Dalian Medical University from January 2014 to December 2022 were selected to construct a dynamic cohort. The SII, reflecting the inflammatory state of the body, was constructed using neutrophil, platelet, and lymphocyte counts. A Cox proportional hazard regression model was used to explore the association between SII and HUA in the overall population and different subgroups of the population, and sensitivity analysis was performed twice. Results:A total of 20 022 subjects were included, and the mean follow-up time was 3.67 years. After adjusting for confounding factors, each unit increase in the natural logarithm of SII(lnSII) was associated with a 24% increased risk of hyperuricemia( HR=1.24, 95% CI 1.16-1.32, P<0.001). As a categorical variable, compared with the lowest quartile array( Q1), the risk of HUA in the total population increased by 12%( HR=1.12, 95% CI 1.03-1.21, P=0.006), 14%( HR=1.14, 95% CI 1.06-1.24, P=0.001), 27%( HR=1.27, 95% CI 1.17-1.37, P<0.001) in Q2, Q3 and Q4 groups within the general population, respectively. All subgroup analysis and sensitivity analysis showed that SII was positively correlated with HUA. Conclusions:Elevated levels of SII significantly increase the risk of HUA. Assessing the body′s inflammatory status using SII can aid in risk screening and preventive management for individuals at high risk of HUA.
8.Comparison the WHO classification and the International Consensus Classification for myelodysplastic syndromes/neoplasms and acute myeloid leukemia
Yigang LIU ; Huiting QU ; Li LI ; Jing WANG ; Xiaosheng FANG ; Qian WANG ; Zie WANG ; Hui SUN ; Min HUANG ; Jian ZHANG ; Zhifen ZHANG ; Xiaoling ZHEN ; Wenbo ZHAO ; Huanling WU
Chinese Journal of Laboratory Medicine 2024;47(8):844-851
The World Health Organization (WHO) classification serves as the internationally recognized standard for diagnosing and classifying hematopoietic and lymphoid tissue tumors(WHO-HEAM). Since 2001, it has undergone multiple upgrades and revisions, updating, clarifying, and refining previous tumor diagnostic and classification standards while incorporating numerous new genetic and molecular biological subtypes. In 2022, two classification proposals emerged due to a wealth of clinical and scientific research results: the fifth edition of the WHO hematopoietic and lymphoid tissue classification (WHO-HAEM5), published in Leukemia journal; and the International Consensus Classification (ICC), published in Blood journal. These two schemes differ in their approach to classifying hematopoietic and lymphoid tissue tumors, posing challenges for clinical laboratory diagnosis and treatment.
9.Correlations of lumbar bone mineral density and metabolic syndrome in adult males
Xinbei LIN ; Yongbing SUN ; Zhi ZOU ; Xiaoling WU ; Zhonglin LI ; Ling WANG ; Jiadong ZHU ; Yongli LI ; Hao LI
Chinese Journal of Medical Imaging Technology 2024;40(10):1562-1566
Objective To explore the correlations of lumbar bone mineral density(BMD)and metabolic syndrome(MS)in adult males.Methods Data of low dose chest CT and quantitative CT of 13 490 adult males were retrospectively analyzed,and lumbar BMD were measured to judge whether MS existed and the degree of MS,and the correlations of lumbar BMD with MS or not and the degree of MS,as well as of lumbar BMD value and the related indicators of MS were assessed.Taken lumbar BMD as the dependent variable,the age,low density lipoprotein cholesterol(LDL-C),blood uric acid(BUA),hemoglobin(Hb)and MS or not were included in multiple linear regression analysis to observe the impact of MS and related indicators on lumbar BMD.Results Among 13 490 adult males,3 900 were found with MS(MS group),while 9 590 were found without MS(non-MS group).Significant difference of lumbar BMD was detected between groups(P=0.001).Lumbar BMD values were negatively correlated with MS(rs=-0.025,P=0.004)and the degree of MS(rs=-0.038,P<0.001),whereas positively correlated with abdominal obesity,high triglyceride and low HDL-C or not(rs=0.024,0.061,0.036,all P<0.001)but negatively correlated with hypertension and hyperglycemia or not(rs=-0.135,-0.104,both P<0.05).After adjustment of age,lumbar BMD of adult males was negatively correlated with MS or not as well as LDL-C(both P<0.05),but positively correlated with BUA and Hb(both P<0.001).Conclusion Lumbar BMD was associated with MS in adult males.
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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