1.Longitudinal Associations between Vitamin D Status and Systemic Inflammation Markers among Early Adolescents.
Ting TANG ; Xin Hui WANG ; Xue WEN ; Min LI ; Meng Yuan YUAN ; Yong Han LI ; Xiao Qin ZHONG ; Fang Biao TAO ; Pu Yu SU ; Xi Hua YU ; Geng Fu WANG
Biomedical and Environmental Sciences 2025;38(1):94-99
2.Life-Course Trajectories of Body Mass Index, Insulin Resistance, and Incident Diabetes in Chinese Adults.
Zhi Yuan NING ; Jing Lan ZHANG ; Bing Bing FAN ; Yan Lin QU ; Chang SU ; Tao ZHANG
Biomedical and Environmental Sciences 2025;38(6):706-715
OBJECTIVE:
This study aimed to explore the interplay between the life-course body mass index (BMI) trajectories and insulin resistance (IR) on incident diabetes.
METHODS:
This longitudinal cohort included 2,336 participants who had BMI repeatedly measured 3-8 times between 1989 and 2009, as well as glucose and insulin measured in 2009. BMI trajectories were identified using a latent class growth mixed model. The interplay between BMI trajectories and IR on diabetes was explored using the four-way effect decomposition method. Logistic regression and mediation models were used to estimate the interaction and mediation effects, respectively.
RESULTS:
Three distinct BMI trajectory groups were identified: low-stable ( n = 1,625), medium-increasing ( n = 613), and high-increasing ( n = 98). Both interaction and mediation effects of BMI trajectories and IR on incident diabetes were significant ( P < 0.05). The proportion of incident diabetes was higher in the IR-obesity than in the insulin-sensitivity (IS) obesity group (18.9% vs. 5.8%, P < 0.001). After adjusting for covariates, the odds ratios (95% confidence intervals) of the IR, IS-obesity, and IR-obesity groups vs. the normal group were 3.22 (2.05, 5.16), 2.05 (1.00, 3.97), and 7.98 (5.19, 12.62), respectively. IR mediated 10.7% of the total effect of BMI trajectories on incident diabetes ( P < 0.001).
CONCLUSION
We found strong interactions and weak mediation effects of IR on the relationship between life-course BMI trajectories and incident diabetes. IS-obesity is associated with a lower risk of incident diabetes than IR-obesity.
Humans
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Insulin Resistance
;
Body Mass Index
;
Male
;
Female
;
Middle Aged
;
China/epidemiology*
;
Adult
;
Longitudinal Studies
;
Incidence
;
Diabetes Mellitus/epidemiology*
;
Aged
;
Obesity/epidemiology*
;
Diabetes Mellitus, Type 2/epidemiology*
;
East Asian People
3.Deciphering the Role of VIM, STX8, and MIF in Pneumoconiosis Susceptibility: A Mendelian Randomization Analysis of the Lung-Gut Axis and Multi-Omics Insights from European and East Asian Populations.
Chen Wei ZHANG ; Bin Bin WAN ; Yu Kai ZHANG ; Tao XIONG ; Yi Shan LI ; Xue Sen SU ; Gang LIU ; Yang Yang WEI ; Yuan Yuan SUN ; Jing Fen ZHANG ; Xiao YU ; Yi Wei SHI
Biomedical and Environmental Sciences 2025;38(10):1270-1286
OBJECTIVE:
Pneumoconiosis, a lung disease caused by irreversible fibrosis, represents a significant public health burden. This study investigates the causal relationships between gut microbiota, gene methylation, gene expression, protein levels, and pneumoconiosis using a multi-omics approach and Mendelian randomization (MR).
METHODS:
We analyzed gut microbiota data from MiBioGen and Esteban et al. to assess their potential causal effects on pneumoconiosis subtypes (asbestosis, silicosis, and inorganic pneumoconiosis) using conventional and summary-data-based MR (SMR). Gene methylation and expression data from Genotype-Tissue Expression and eQTLGen, along with protein level data from deCODE and UK Biobank Pharma Proteomics Project, were examined in relation to pneumoconiosis data from FinnGen. To validate our findings, we assessed self-measured gut flora from a pneumoconiosis cohort and performed fine mapping, drug prediction, molecular docking, and Phenome-Wide Association Studies to explore relevant phenotypes of key genes.
RESULTS:
Three core gut microorganisms were identified: Romboutsia ( OR = 0.249) as a protective factor against silicosis, Pasteurellaceae ( OR = 3.207) and Haemophilus parainfluenzae ( OR = 2.343) as risk factors for inorganic pneumoconiosis. Additionally, mapping and quantitative trait loci analyses revealed that the genes VIM, STX8, and MIF were significantly associated with pneumoconiosis risk.
CONCLUSIONS
This multi-omics study highlights the associations between gut microbiota and key genes ( VIM, STX8, MIF) with pneumoconiosis, offering insights into potential therapeutic targets and personalized treatment strategies.
Humans
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Male
;
East Asian People/genetics*
;
Europe
;
Gastrointestinal Microbiome
;
Lung
;
Macrophage Migration-Inhibitory Factors/metabolism*
;
Mendelian Randomization Analysis
;
Multiomics
;
Pneumoconiosis/microbiology*
;
Intramolecular Oxidoreductases
4.Correlation between the expression of serum miR-1298-5p,miR-625-5p and miR-155 and the degree of Helicobacter pylori infection in elderly gastric cancer patients
Chunli TANG ; Shujuan FAN ; Sheng TAO ; Jianning LIU ; Feng SU ; Caiyun YUAN ; Meiling ZHU ; Ruimei ZHONG ; JiaoJiao CAO ; Yun WANG
International Journal of Laboratory Medicine 2025;46(2):151-156
Objective To explore the correlation between the expression of serum microRNA(miR)-1298-5p,miR-625-5p,and miR-155 with the degree of Helicobacter pylori(Hp)infection in elderly gastric cancer patients.Methods From January 2021 to November 2023,120 elderly patients with gastric cancer admitted to the hospital from January 2021 to November 2023 were selected as the gastric cancer group,and 130 non-gas-tric cancer patients who underwent gastroscopy were selected as the control group.The expression levels of miR-1298-5p,miR-625-5p and miR-155 in serum were detected by fluorescence quantitative PCR(qPCR).Car-bon 13 urea breath test was used to detect the positive rate of Hp infection in two groups,and the degree of Hp infection in elderly patients with gastric cancer were evaluated.Receiver operating characteristic(ROC)curve was applied to analyze the diagnostic value of serum miR-1298-5p,miR-625-5p,and miR-155 expression levels for Hp infection in elderly gastric cancer patients.Pearson method was applied to analyze the correlation between serum miR-1298-5p,miR-625-5p,miR-155 expression and positive rate of Hp infection in elderly gas-tric cancer patients.Results Compared with the control group,the expression levels of miR-1298-5p and miR-625-5p in serum of gastric cancer group decreased(P<0.05),while the positive rate of Hp infection and the expression level of serum miR-155 increased(P<0.05).The expression levels of serum miR-1298-5p and miR-625-5p in elderly gastric cancer patients with Hp grade Ⅰ,Ⅱ,and Ⅲ infection were lower than those without Hp infection,while the expression level of miR-155 was higher(P<0.05).Patients with poor differ-entiation,lymph node metastasis,and TNM stage Ⅲ-Ⅳ had lower expressions of serum miR-1298-5p and miR-625-5p(P<0.05),and higher expression of miR-155(P<0.05)than those with moderate-high differen-tiation,no lymph node metastasis,and TNM stage Ⅰ-Ⅱ.The expression levels of serum miR-1298-5p and miR-625-5p were negatively correlated with the positive rate of Hp infection in elderly patients with gastric cancer(r=-0.443,-0.386,both P<0.001),and the expression levels of serum miR-155 were positively correlated with the positive rate of Hp infection(r=0.525,P<0.001).The area under the curve(AUC)of serum miR-1298-5p,miR-625-5p and miR-155 combined diagnosis of Hp infection in elderly gastric cancer pa-tients was higher than that of single diagnosis(P<0.05).Conclusion The expression levels of miR-1298-5p and miR-625-5p in serum of elderly gastric cancer patients with Hp infection decrease,while the expression level of miR-155 increases.These three factors are related to the degree of Hp infection and have good diag-nostic value for the occurrence of Hp infection.
5.Comparative analysis of computer-programmed versus artificial right arm blood pressure measurement in detecting hypertension among elderly individuals
Zhao YUAN ; Linglin XIA ; Tao WANG ; Huihui BAO ; Hai SU
Chinese Journal of Cardiology 2025;53(1):37-41
Objective:To compare the impact of manual right arm blood pressure measurement with computer-controlled blood pressure meter (CCBPM) on the detection rate of hypertension among elderly individuals.Method:This was a cross-sectional study. Elderly residents undergoing routine health check-up in a village in Jiangxi Province from April to June 2024 were enrolled. Manual blood pressure measurements were performed on the right arm using an electronic sphygmomanometer, while standardized dual-arm synchronized blood pressure assessments were conducted using the CCBPM. Blood pressure data were recorded from three sources: manual measurement on the right arm; the first CCBPM measurement on the arm with higher systolic blood pressure (CCBPM single); and the mean blood pressure of the arm with higher systolic blood pressure from two (if the difference between the first two measurements was less than 5 mmHg, 1 mmHg=0.133 kPa) or three (if the difference exceeded 5 mmHg) CCBPM measurements (CCBPM mean). Hypertension detection rates from these three datasets were compared. Subgroup analysis was performed according to age (60-74 years old as the elderly group,≥75 years old as the senior group) and gender. Intra-group correlation coefficient ( ICC) was analyzed to evaluate the consistency of blood pressure data of different blood pressure measurement methods, and Kappa value was analyzed to evaluate the consistency of hypertension classification determined by different blood pressure measurement methods. Results:A total of 1 498 participants were enrolled, aged (71.30±6.83) years old, including 678 males (45.26%). The blood pressure and heart rate measured by the artificial right arm blood pressure measurement were higher than those measured by CCBPM single (blood pressure: (140.09±17.19)/(82.40±10.93) mmHg vs. (135.31±18.98)/(81.23±10.51) mmHg; heart rate: (75.76±11.72) beats/min vs.(72.94±11.21) beats/min) and CCBPM mean (blood pressure: (140.09±17.19)/(82.40±10.93) mmHg vs. (134.64±18.39)/(80.28±9.78) mmHg; heart rate: (75.76±11.72) beats/min vs. (72.87±10.70) beats/min, all P<0.05). The detection rate of hypertension determined by CCBPM mean was significantly lower than that of artificial right arm (40.25% (603/1 498) vs.54.34% (814/1 498)) and CCBPM single (40.25% (603/1 498) vs. 44.79% (671/1 498), all P<0.05). Subgroup analysis showed that that the detection rate of hypertension determined by CCBPM mean was lower than that measured by artificial right arm regardless of gender and age (all P<0.05). The consistency of blood pressure data between artificial right arm and the CCBPM mean was moderate (systolic blood pressure: ICC=0.70; diastolic blood pressure: ICC=0.62), with less consistent classification ( Kappa=0.37). The consistency of blood pressure data between CCBPM single and CCBPM mean is extremely high (systolic blood pressure: ICC=0.94; diastolic blood pressure: ICC=0.91), with highly consistent classification ( Kappa=0.74). Conclusions:Artificial right arm blood pressure measurement in physical examinations may overestimate the hypertension detection rate, and the standardized dual-arm synchronized blood pressure measurement using CCBPM can reduce irregular blood pressure measurement.
6.Comparative analysis of computer-programmed versus artificial right arm blood pressure measurement in detecting hypertension among elderly individuals
Zhao YUAN ; Linglin XIA ; Tao WANG ; Huihui BAO ; Hai SU
Chinese Journal of Cardiology 2025;53(1):37-41
Objective:To compare the impact of manual right arm blood pressure measurement with computer-controlled blood pressure meter (CCBPM) on the detection rate of hypertension among elderly individuals.Method:This was a cross-sectional study. Elderly residents undergoing routine health check-up in a village in Jiangxi Province from April to June 2024 were enrolled. Manual blood pressure measurements were performed on the right arm using an electronic sphygmomanometer, while standardized dual-arm synchronized blood pressure assessments were conducted using the CCBPM. Blood pressure data were recorded from three sources: manual measurement on the right arm; the first CCBPM measurement on the arm with higher systolic blood pressure (CCBPM single); and the mean blood pressure of the arm with higher systolic blood pressure from two (if the difference between the first two measurements was less than 5 mmHg, 1 mmHg=0.133 kPa) or three (if the difference exceeded 5 mmHg) CCBPM measurements (CCBPM mean). Hypertension detection rates from these three datasets were compared. Subgroup analysis was performed according to age (60-74 years old as the elderly group,≥75 years old as the senior group) and gender. Intra-group correlation coefficient ( ICC) was analyzed to evaluate the consistency of blood pressure data of different blood pressure measurement methods, and Kappa value was analyzed to evaluate the consistency of hypertension classification determined by different blood pressure measurement methods. Results:A total of 1 498 participants were enrolled, aged (71.30±6.83) years old, including 678 males (45.26%). The blood pressure and heart rate measured by the artificial right arm blood pressure measurement were higher than those measured by CCBPM single (blood pressure: (140.09±17.19)/(82.40±10.93) mmHg vs. (135.31±18.98)/(81.23±10.51) mmHg; heart rate: (75.76±11.72) beats/min vs.(72.94±11.21) beats/min) and CCBPM mean (blood pressure: (140.09±17.19)/(82.40±10.93) mmHg vs. (134.64±18.39)/(80.28±9.78) mmHg; heart rate: (75.76±11.72) beats/min vs. (72.87±10.70) beats/min, all P<0.05). The detection rate of hypertension determined by CCBPM mean was significantly lower than that of artificial right arm (40.25% (603/1 498) vs.54.34% (814/1 498)) and CCBPM single (40.25% (603/1 498) vs. 44.79% (671/1 498), all P<0.05). Subgroup analysis showed that that the detection rate of hypertension determined by CCBPM mean was lower than that measured by artificial right arm regardless of gender and age (all P<0.05). The consistency of blood pressure data between artificial right arm and the CCBPM mean was moderate (systolic blood pressure: ICC=0.70; diastolic blood pressure: ICC=0.62), with less consistent classification ( Kappa=0.37). The consistency of blood pressure data between CCBPM single and CCBPM mean is extremely high (systolic blood pressure: ICC=0.94; diastolic blood pressure: ICC=0.91), with highly consistent classification ( Kappa=0.74). Conclusions:Artificial right arm blood pressure measurement in physical examinations may overestimate the hypertension detection rate, and the standardized dual-arm synchronized blood pressure measurement using CCBPM can reduce irregular blood pressure measurement.
7.Artificial intelligence predicts direct-acting antivirals failure among hepatitis C virus patients: A nationwide hepatitis C virus registry program
Ming-Ying LU ; Chung-Feng HUANG ; Chao-Hung HUNG ; Chi‐Ming TAI ; Lein-Ray MO ; Hsing-Tao KUO ; Kuo-Chih TSENG ; Ching-Chu LO ; Ming-Jong BAIR ; Szu-Jen WANG ; Jee-Fu HUANG ; Ming-Lun YEH ; Chun-Ting CHEN ; Ming-Chang TSAI ; Chien-Wei HUANG ; Pei-Lun LEE ; Tzeng-Hue YANG ; Yi-Hsiang HUANG ; Lee-Won CHONG ; Chien-Lin CHEN ; Chi-Chieh YANG ; Sheng‐Shun YANG ; Pin-Nan CHENG ; Tsai-Yuan HSIEH ; Jui-Ting HU ; Wen-Chih WU ; Chien-Yu CHENG ; Guei-Ying CHEN ; Guo-Xiong ZHOU ; Wei-Lun TSAI ; Chien-Neng KAO ; Chih-Lang LIN ; Chia-Chi WANG ; Ta-Ya LIN ; Chih‐Lin LIN ; Wei-Wen SU ; Tzong-Hsi LEE ; Te-Sheng CHANG ; Chun-Jen LIU ; Chia-Yen DAI ; Jia-Horng KAO ; Han-Chieh LIN ; Wan-Long CHUANG ; Cheng-Yuan PENG ; Chun-Wei- TSAI ; Chi-Yi CHEN ; Ming-Lung YU ;
Clinical and Molecular Hepatology 2024;30(1):64-79
Background/Aims:
Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy.
Methods:
We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment.
Results:
The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset.
Conclusions
Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.
8.Metformin and statins reduce hepatocellular carcinoma risk in chronic hepatitis C patients with failed antiviral therapy
Pei-Chien TSAI ; Chung-Feng HUANG ; Ming-Lun YEH ; Meng-Hsuan HSIEH ; Hsing-Tao KUO ; Chao-Hung HUNG ; Kuo-Chih TSENG ; Hsueh-Chou LAI ; Cheng-Yuan PENG ; Jing-Houng WANG ; Jyh-Jou CHEN ; Pei-Lun LEE ; Rong-Nan CHIEN ; Chi-Chieh YANG ; Gin-Ho LO ; Jia-Horng KAO ; Chun-Jen LIU ; Chen-Hua LIU ; Sheng-Lei YAN ; Chun-Yen LIN ; Wei-Wen SU ; Cheng-Hsin CHU ; Chih-Jen CHEN ; Shui-Yi TUNG ; Chi‐Ming TAI ; Chih-Wen LIN ; Ching-Chu LO ; Pin-Nan CHENG ; Yen-Cheng CHIU ; Chia-Chi WANG ; Jin-Shiung CHENG ; Wei-Lun TSAI ; Han-Chieh LIN ; Yi-Hsiang HUANG ; Chi-Yi CHEN ; Jee-Fu HUANG ; Chia-Yen DAI ; Wan-Long CHUNG ; Ming-Jong BAIR ; Ming-Lung YU ;
Clinical and Molecular Hepatology 2024;30(3):468-486
Background/Aims:
Chronic hepatitis C (CHC) patients who failed antiviral therapy are at increased risk for hepatocellular carcinoma (HCC). This study assessed the potential role of metformin and statins, medications for diabetes mellitus (DM) and hyperlipidemia (HLP), in reducing HCC risk among these patients.
Methods:
We included CHC patients from the T-COACH study who failed antiviral therapy. We tracked the onset of HCC 1.5 years post-therapy by linking to Taiwan’s cancer registry data from 2003 to 2019. We accounted for death and liver transplantation as competing risks and employed Gray’s cumulative incidence and Cox subdistribution hazards models to analyze HCC development.
Results:
Out of 2,779 patients, 480 (17.3%) developed HCC post-therapy. DM patients not using metformin had a 51% increased risk of HCC compared to non-DM patients, while HLP patients on statins had a 50% reduced risk compared to those without HLP. The 5-year HCC incidence was significantly higher for metformin non-users (16.5%) versus non-DM patients (11.3%; adjusted sub-distribution hazard ratio [aSHR]=1.51; P=0.007) and metformin users (3.1%; aSHR=1.59; P=0.022). Statin use in HLP patients correlated with a lower HCC risk (3.8%) compared to non-HLP patients (12.5%; aSHR=0.50; P<0.001). Notably, the increased HCC risk associated with non-use of metformin was primarily seen in non-cirrhotic patients, whereas statins decreased HCC risk in both cirrhotic and non-cirrhotic patients.
Conclusions
Metformin and statins may have a chemopreventive effect against HCC in CHC patients who failed antiviral therapy. These results support the need for personalized preventive strategies in managing HCC risk.
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.Extracorporeal membrane oxygenation support during transcatheter aortic valve replacement in patients with reduced left ventricular ejection fraction
Cun-Jun ZHU ; Chao GAO ; Bo WANG ; Tao SU ; Ru-Tao WANG ; Yuan HE ; Fang-Jun MOU ; Xiao-Na CHEN ; Fei LI ; Ling TAO
Chinese Journal of Interventional Cardiology 2024;32(11):642-647
Objective To evaluate the efficacy of extracorporeal membrane oxygenation(ECMO)in patients with reduced left ventricular ejection fraction(LVEF)undergoing transcatheter aortic valve implantation(TAVR).Methods This was a single-center,retrospective study enrolling a total of 30 patients with reduced LVEF undergoing TAVR from January 2020 to January 2024.Of these,12 patients underwent TAVR with ECMO.Baseline clinical characteristics,preprocedural echocardiographic and computed tomographic(CT)measurements,TAVR procedural details,and follow-up data at 60-day and 6-month were collected.Results Among the 30 patients,there were 20 males with an average age of(67.0±10.4)years,an average STS score of(8.2±1.8)points,and an average LVEF of(21.2±5.3)%.This study included 11 AR patients,all of whom were in the group without ECMO implantation,and the difference between the two groups was statistically significant(P=0.027).During the operation,there were 0 cases of circulatory collapse in the ECMO group,and 5 cases(5/18)of circulatory collapse in the non ECMO group.All 5 patients underwent emergency ECMO placement.There were statistically significant differences(P<0.05)in the comparison of two groups with circulatory collapse and salvage ECMO implantation.The technical success rate of 30 patients was 76.7%(23/30),and the instrument success rate was 60.0%(18/30).Among them,the technical success rate and instrument success rate of the ECMO group were higher than those of the non ECMO group,but the differences were not statistically significant(both P>0.05).During a 30 day follow-up,there were 0 all-cause deaths in the ECMO group and 9 all-cause deaths(9/18)in the non ECMO group.Among them,7 cases(7/18)died from cardiovascular causes.The differences in all-cause and cardiovascular cause deaths between the two groups were statistically significant(both P<0.05).During a 6-month follow-up,one patient with ECMO died due to extensive cerebral infarction.The all-cause mortality rate during the 6-month follow-up was 1/12(8.3%),while the all-cause mortality rate without ECMO was 9/18(5.0%).The difference between the two groups was statistically significant(P=0.024).The incidence of stroke with ECMO was 1/12(8.3%),while without ECMO it was 0.There was no statistically significant difference between the two groups(P=0.978).Conclusions In patients with reduced LVEF undergoing TAVR,periprocedural ECMO support does seem to improve patient outcome.

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