1.Impact of diabetes mellitus on myocardial injury and cardiac function recovery after coronary artery bypass grafting
Chen ZHOU ; Huajun XIAO ; Fancai CHEN ; Zhang ZHANG ; Hua LUO ; Chengyi YAN ; Jinwen CHEN ; Jianming PENG ; Jinfeng WANG ; Yuexi YUAN ; Jicheng YANG
Journal of Chinese Physician 2025;27(8):1142-1146
Objective:To explore the impact of diabetes mellitus on perioperative myocardial injury and cardiac function recovery in patients undergoing off-pump coronary artery bypass grafting (CABG).Methods:The clinical data of 40 patients with coronary heart disease who underwent off-pump CABG in Changsha Central Hospital from 2015 to 2025 were retrospectively included. They were divided into the diabetes group (20 cases) and the control group (20 cases) according to whether they had type 2 diabetes mellitus. Myocardial injury markers (creatine kinase isoenzyme, troponin I, lactate dehydrogenase) before surgery, on the 1st and 3rd days after surgery and before discharge, as well as cardiac function indicators (B-type natriuretic peptide, left ventricular ejection fraction) before surgery and before discharge were compared between the two groups. The postoperative recovery speed (mechanical ventilation time, intensive care unit stay, vasoactive drug use time, postoperative hospital stay) was also compared between the two groups.Results:Before surgery, there were no statistically significant differences in myocardial injury markers and cardiac function indicators between the two groups (all P>0.05). On the 3rd day after surgery, lactate dehydrogenase in the diabetes group was significantly higher than that in the control group ( P<0.05), while there were no statistically significant differences in creatine kinase isoenzyme and troponin I between the two groups (all P>0.05). Before discharge, the levels of creatine kinase isoenzyme and B-type natriuretic peptide in the diabetes group were significantly higher than those in the control group (all P<0.05), and the left ventricular ejection fraction was significantly lower than that in the control group ( P<0.05). Compared with the control group, the diabetes group had significantly longer mechanical ventilation time, intensive care unit stay, and postoperative hospital stay (all P<0.05), but there was no statistically significant difference in the use time of vasoactive drugs ( P>0.05). Conclusions:For patients with coronary heart disease complicated with diabetes mellitus, their preoperative cardiac status is comparable to that of patients without diabetes mellitus, but they show a characteristic dynamic injury pattern after surgery: early elevation of lactate dehydrogenase suggests susceptibility to subcellular injury, and long-term abnormalities of creatine kinase isoenzyme, B-type natriuretic peptide, and decrease in left ventricular ejection fraction indicate myocardial repair disorders. Compared with patients without diabetes mellitus, those with diabetes mellitus require a longer recovery time after off-pump CABG, and targeted perioperative management strategies are urgently needed.
2.Development and application of intensive care unit digital intelligence multimodal shift handover system.
Xue BAI ; Lixia CHANG ; Wei FANG ; Zhengang WEI ; Yan CHEN ; Zhenfeng ZHOU ; Min DING ; Hongli LIU ; Jicheng ZHANG
Chinese Critical Care Medicine 2025;37(10):950-955
OBJECTIVE:
To develop a digital intelligent multimodal shift handover system for the intensive care unit (ICU) and evaluate its application effect in ICU shift handovers.
METHODS:
A research and development team was established, consisting of 1 department director, 1 head nurse, 3 information technology engineers, 3 nurses, and 2 doctors. Team members were assigned responsibilities including overall coordination and planning, platform design and maintenance, pre-application training, collection and organization of clinical feedback, and research investigation respectively. A digital intelligent multimodal shift handover system was developed for ICU based on the Shannon-Weaver linear transmission model. This innovative system integrated automated data collection, intelligent dynamic monitoring, multidimensional condition analysis and visual reporting functions. A cloud platform was used to gather data from multi-parameter vital signs monitors, infusion pumps, ventilators and other devices. Artificial intelligence algorithms were employed to standardize and analyze the data, providing personalized recommendations for healthcare professionals. A self-controlled before-after method was adopted. Before the application of the ICU digital intelligent multimodal shift handover system (from December 2023 to March 2024), the traditional verbal bedside handover was used; from June 2024 to March 2025, the ICU digital intelligent multimodal shift handover system was applied for shift handovers. Questionnaires before the application of the shift handover system were collected in April 2024, and those after the application were collected in April 2025. The shift handover time, handover quality (scored by the nursing handover evaluation scale), satisfaction with doctor-nurse communication (scored by the ICU doctor-nurse scale) before and after the application of the handover system were compared, and nurses' satisfaction with the shift handover system (scored by the clinical nursing information system effectiveness evaluation scale) was investigated.
RESULTS:
After the application of the ICU digital intelligent multimodal shift handover system, the shift handover time was significantly shorter than that before the application [minutes: 20 (15, 25) vs. 30 (22, 40)], the handover quality was significantly higher than that before the application [score: 84.0 (78.0, 88.5) vs. 71.0 (55.0, 79.0)], and the satisfaction with doctor-nurse communication was also significantly higher than that before the application (score: 84.58±6.79 vs. 74.50±11.30). All differences were statistically significant (all P < 0.05). In addition, the nurses' system effectiveness evaluation scale score was 102.30±10.56, which indicated that nurses had a very high level of satisfaction with the ICU digital intelligent multimodal shift handover system.
CONCLUSIONS
The application of the ICU digital intelligent multimodal shift handover system can shorten the shift handover time, improve the handover quality, and enhance the satisfaction with doctor-nurse communication. Nurses have a high level of satisfaction with this system.
Intensive Care Units
;
Humans
;
Patient Handoff
;
Artificial Intelligence
;
Algorithms
3.Impact of diabetes mellitus on myocardial injury and cardiac function recovery after coronary artery bypass grafting
Chen ZHOU ; Huajun XIAO ; Fancai CHEN ; Zhang ZHANG ; Hua LUO ; Chengyi YAN ; Jinwen CHEN ; Jianming PENG ; Jinfeng WANG ; Yuexi YUAN ; Jicheng YANG
Journal of Chinese Physician 2025;27(8):1142-1146
Objective:To explore the impact of diabetes mellitus on perioperative myocardial injury and cardiac function recovery in patients undergoing off-pump coronary artery bypass grafting (CABG).Methods:The clinical data of 40 patients with coronary heart disease who underwent off-pump CABG in Changsha Central Hospital from 2015 to 2025 were retrospectively included. They were divided into the diabetes group (20 cases) and the control group (20 cases) according to whether they had type 2 diabetes mellitus. Myocardial injury markers (creatine kinase isoenzyme, troponin I, lactate dehydrogenase) before surgery, on the 1st and 3rd days after surgery and before discharge, as well as cardiac function indicators (B-type natriuretic peptide, left ventricular ejection fraction) before surgery and before discharge were compared between the two groups. The postoperative recovery speed (mechanical ventilation time, intensive care unit stay, vasoactive drug use time, postoperative hospital stay) was also compared between the two groups.Results:Before surgery, there were no statistically significant differences in myocardial injury markers and cardiac function indicators between the two groups (all P>0.05). On the 3rd day after surgery, lactate dehydrogenase in the diabetes group was significantly higher than that in the control group ( P<0.05), while there were no statistically significant differences in creatine kinase isoenzyme and troponin I between the two groups (all P>0.05). Before discharge, the levels of creatine kinase isoenzyme and B-type natriuretic peptide in the diabetes group were significantly higher than those in the control group (all P<0.05), and the left ventricular ejection fraction was significantly lower than that in the control group ( P<0.05). Compared with the control group, the diabetes group had significantly longer mechanical ventilation time, intensive care unit stay, and postoperative hospital stay (all P<0.05), but there was no statistically significant difference in the use time of vasoactive drugs ( P>0.05). Conclusions:For patients with coronary heart disease complicated with diabetes mellitus, their preoperative cardiac status is comparable to that of patients without diabetes mellitus, but they show a characteristic dynamic injury pattern after surgery: early elevation of lactate dehydrogenase suggests susceptibility to subcellular injury, and long-term abnormalities of creatine kinase isoenzyme, B-type natriuretic peptide, and decrease in left ventricular ejection fraction indicate myocardial repair disorders. Compared with patients without diabetes mellitus, those with diabetes mellitus require a longer recovery time after off-pump CABG, and targeted perioperative management strategies are urgently needed.
4.The First Application of Domestically Produced Self-expanding Transcatheter Aortic Valve Controllable Bending Delivery System in China
Yang CHEN ; Guoliang CHEN ; Di SONG ; Hongliang ZHANG ; Moyang WANG ; Guannan NIU ; Zheng ZHOU ; Qian ZHANG ; Qingrong LIU ; Zhenyan ZHAO ; Jie ZHAO ; Bin ZHANG ; Dejing FENG ; Wence SHI ; Jicheng XI ; Yongjian WU
Chinese Circulation Journal 2024;39(3):285-289
A domestically produced self-expanding transcatheter aortic valve controllable bending delivery system(VitaFlow? Ⅲcontrollable bending retrievable delivery system)was first used to perform transcatheter aortic valve replacement(TAVR)in a symptomatic severe aortic valve stenosis patient with severe heart failure and high risk of surgery in China on September 22,2023.The patient successfully completed TAVR under general anesthesia,with good valve position and function after the operation.Before discharge and at one month of follow-up,the patient's symptoms and degree of heart failure were significantly improved.The follow-up results of this case showed that the VitaFlow? Ⅲ controllable bending retrievable delivery system for TAVR is safe and feasible,and future prospective,multicenter clinical trials are expected to evaluate its efficacy.
5.Quantitative evaluation of gender differences in supraclavicular fat related to fat metabolism with IDEAL-IQ in healthy young adults
Jicheng FANG ; Li LI ; Yang LI ; Zhanying JIAO ; Zhiguo ZHOU
Journal of Practical Radiology 2024;40(1):131-134
Objective To evaluate the gender differences in fat water fraction(FWF)related to fat metabolism in supraclavicular region of neck with iterative decomposition of water and fat with echo asymmetry and least square estimation iron quantification(IDEAL-IQ)sequence quantitatively.Methods Twenty healthy female and twenty healthy male volunteers were selected for a MRI examination with IDEAL-IQ,then the FWF of R2*,brown adipose tissue(BAT)and white adipose tissue(WAT)were obtained by post-processing.The differences of FWF between the two groups were compared by Mann-Whitney U test.Results There was sig-nificant difference in the FWF of BAT and WAT between the two groups(P<0.05).The FWF of BAT in the female was higher than that the male,and the FWF of WAT in the male was higher than that the female,there was no significant difference in the R2*between the two groups(P>0.05).Conclusion IDEAL-IQ sequence can be used to evaluate the FWF in supraclavicular region of neck quantitatively,and classify BAT and WAT,then provide clinical according to the quantitative study of fat content.
6.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.
7.Research progress on the application scope of intensive care unit shift handover mode
Xue BAI ; Huiyu CHENG ; Chunmei FAN ; Zhengang WEI ; Zhenfeng ZHOU ; Guangyun LIU ; Qianqian GUO ; Jicheng ZHANG
Chinese Journal of Integrated Traditional and Western Medicine in Intensive and Critical Care 2024;31(6):756-760
Shift handover is a process of transferring power and responsibility between medical staff,and it is also a basic part of medical activities.Intensive care unit(ICU)is the core area for the treatment of critically ill patients,with complex patient conditions and fine and diverse treatment.If clinical information cannot be shared accurately and in time,it will lead to the delay of the patient's condition,diagnosis and treatment plan.At the same time,the omission of handover information and communication problems can easily lead to safety risks,prolonged hospital stay and increased number of readmissions.Therefore,as one of the important links in ICU diagnosis and treatment and nursing work,accurate,complete and effective handover can ensure the rapid and accurate transmission of patient information and promote the smooth development of diagnosis and treatment and nursing work.This paper reviews the application scope of ICU shift handover model,analyzes the main characteristics,application status and application effects of ICU shift model,and discusses the problems and shortcomings of the existing ICU shift model,in order to provide a reference for further optimizing the quality of ICU shift.PRISMA extension for scoping reviews(PRISMA-ScR)as methodological guidance,we conducted a systematic search across major databases including PubMed,Web of Science,Embase,Cumulative Index to Nursing and Allied Health Literature(CINAHL),and Chinese databases(Wanfang,CNKI,Chinese Medical Association,CBM)using both subject headings and free-text terms).The search time limit was from the establishment of the database to July 18,2024.The preliminary retrieved literature bibliographer was imported into Endnote 20.0 software,and the obtained literature was selected and screened by two researchers.A total of 14 articles were included,of which 10 were from China and 4 were from the United States,and all were published between 2012 and 2022.The analysis showed that the ICU shift mode mainly included improved shift mode,group system shift mode,anti-shift mode,checklist type shift sheet mode and electronic information ICU shift.The shift mode showed diversified characteristics,optimized staffing to a certain extent,standardized the specific content and process of shift,and improved the quality of shift.Significant advances have been made in information delivery and quality of care.However,domestic research is mostly focused on the improvement of the shift mode,which faces the shortcomings of increasing workload,coordination and communication challenges,and the scientification and standardization of tools.Electronic information technology makes up for the shortcomings of information omission in the traditional shift process through the advantages of automatic data collection and information collection,and shows positive results in the process of shift.Future research needs to further explore the basis of not increasing the load of ICU clinical medical staff,ensuring the efficiency of shift and normal work flow.Pay attention to the intelligent,standardized and personalized construction of ICU shift,improve the quality of diagnosis and treatment and nursing,and ensure the safety of patients.
8.Research progress on the application scope of intensive care unit shift handover mode
Xue BAI ; Huiyu CHENG ; Chunmei FAN ; Zhengang WEI ; Zhenfeng ZHOU ; Guangyun LIU ; Qianqian GUO ; Jicheng ZHANG
Chinese Journal of Integrated Traditional and Western Medicine in Intensive and Critical Care 2024;31(6):756-760
Shift handover is a process of transferring power and responsibility between medical staff,and it is also a basic part of medical activities.Intensive care unit(ICU)is the core area for the treatment of critically ill patients,with complex patient conditions and fine and diverse treatment.If clinical information cannot be shared accurately and in time,it will lead to the delay of the patient's condition,diagnosis and treatment plan.At the same time,the omission of handover information and communication problems can easily lead to safety risks,prolonged hospital stay and increased number of readmissions.Therefore,as one of the important links in ICU diagnosis and treatment and nursing work,accurate,complete and effective handover can ensure the rapid and accurate transmission of patient information and promote the smooth development of diagnosis and treatment and nursing work.This paper reviews the application scope of ICU shift handover model,analyzes the main characteristics,application status and application effects of ICU shift model,and discusses the problems and shortcomings of the existing ICU shift model,in order to provide a reference for further optimizing the quality of ICU shift.PRISMA extension for scoping reviews(PRISMA-ScR)as methodological guidance,we conducted a systematic search across major databases including PubMed,Web of Science,Embase,Cumulative Index to Nursing and Allied Health Literature(CINAHL),and Chinese databases(Wanfang,CNKI,Chinese Medical Association,CBM)using both subject headings and free-text terms).The search time limit was from the establishment of the database to July 18,2024.The preliminary retrieved literature bibliographer was imported into Endnote 20.0 software,and the obtained literature was selected and screened by two researchers.A total of 14 articles were included,of which 10 were from China and 4 were from the United States,and all were published between 2012 and 2022.The analysis showed that the ICU shift mode mainly included improved shift mode,group system shift mode,anti-shift mode,checklist type shift sheet mode and electronic information ICU shift.The shift mode showed diversified characteristics,optimized staffing to a certain extent,standardized the specific content and process of shift,and improved the quality of shift.Significant advances have been made in information delivery and quality of care.However,domestic research is mostly focused on the improvement of the shift mode,which faces the shortcomings of increasing workload,coordination and communication challenges,and the scientification and standardization of tools.Electronic information technology makes up for the shortcomings of information omission in the traditional shift process through the advantages of automatic data collection and information collection,and shows positive results in the process of shift.Future research needs to further explore the basis of not increasing the load of ICU clinical medical staff,ensuring the efficiency of shift and normal work flow.Pay attention to the intelligent,standardized and personalized construction of ICU shift,improve the quality of diagnosis and treatment and nursing,and ensure the safety of patients.
9.Radiomics based on three-dimensional high-resolution MR vessel wall imaging for identification of culprit plaques in symptomatic patients with middle cerebral artery atherosclerosis
Guiling ZHANG ; Jicheng FANG ; Zhenxiong WANG ; Yiran ZHOU ; Di WU ; Jun LU ; Su YAN ; Hongquan ZHU ; Shun ZHANG ; Wenzhen ZHU
Chinese Journal of Radiology 2023;57(1):27-33
Objective:To investigate the value of radiomics based on three-dimensional high resolution MR vessel wall imaging (3D HRMR-VWI) for identifying culprit plaques in symptomatic patients with middle cerebral atherosclerosis.Methods:The clinical and imaging features of 117 patients (139 middle cerebral artery plaques) with cerebrovascular diseases in Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology from October 2018 to October 2020 were respectively reviewed. Stratified random sampling was used to divide 139 plaques into training set (97 plaques) and validation set (42 plaque) at the ratio of 7∶3. The plaques were divided into 69 culprit plaques and 70 non-culprit plaques based on plaque MR features and clinical symptoms. The clinical and imaging characteristics of culprit plaques and non-culprit plaques were compared by independent sample t-test, Mann-Whitney U test and χ 2 test, and factors with significant difference between two groups in univariate analysis were further analyzed by multivariate logistic regression to find out the independent predictors of culprit plaques. Radiomics features were extracted, screened and radiomics model was constructed using pre-and post-contrast 3D HRMR-VWI based on the training set. The combined model was constructed by combining the independent predictors and radiomics model. Receiver operating characteristic curve and area under curve (AUC) were used to evaluate the efficacy of each model, and DeLong test was used to compare the efficacy of different models. Results:Significant difference was found in intraplaque hemorrhage, lumen area of stenosis, stenosis diameter, stenosis rate, plaque burden and enhancement rate between culprit and non-culprit plaques (all P<0.05). Multivariate logistic regression analysis confirmed that only intraplaque hemorrhage was the independent predictor for culprit plaques (OR=7.045,95%CI 1.402-35.397, P=0.018). In the validation set, the AUC of the pre-contrast 3D HRMR-VWI model was lower than that of the post-contrast 3D HRMR-VWI model ( Z=-2.01, P=0.044). The AUC of pre+post-contrast 3D HRMR-VWI model was not significantly different from that of post-contrast 3D HRMR-VWI model ( Z=0.79, P=0.427). The AUC showed no significant difference between combined model and pre+post-contrast 3D HRMR-VWI model ( Z=-0.59, P>0.05). The combined model showed the best performance in predicting culprit plaques of middle cerebral artery (AUC=0.939), with the sensitivity, specificity and accuracy of 95.24%, 76.19% and 85.71%. Conclusion:Radiomics based on 3D HRMR-VWI has potential values in identifying culprit plaques in symptomatic patients with middle cerebral atherosclerosis.
10.Research progress on massive transfusion protocol
Huahua HUANG ; Binbin TAN ; Jicheng ZHOU
Chinese Journal of Blood Transfusion 2023;36(10):967-970
Massive transfusion protocol (MTP) is a programmatic procedure for massive blood transfusions, which is an important means of patient blood management (PBM) for trauma and massive hemorrhage patients. MTP can be initiated in a variety of modes, including the McLaughlin, ABC and TASH scoring systems and the mode depending on the patient′s hemorheology. After MTP has been activated, blood components should be injected as soon as possible. Generally, red blood cells should be injected first, followed by plasma and platelets injected proportionally. MTP should be based on good damage control measures and good hemostatic treatment, and should try to avoid the waste of blood components.This article reviews the progress of research on MTP in the above aspects.

Result Analysis
Print
Save
E-mail