1.OpenSim-based prediction of lower-limb biomechanical behavior in adolescents with plantarflexor weakness
Enhong FU ; Hang YANG ; Cheng LIANG ; Xiaogang ZHANG ; Yali ZHANG ; Zhongmin JIN
Chinese Journal of Tissue Engineering Research 2025;29(9):1789-1795
BACKGROUND:The plantarflexor weakness is a common muscle defect in patients with spastic cerebral palsy and Charcot-Marie-Tooth,which clinically manifests abnormal gaits,and the relationship between plantarflexor weakness and abnormal gaits is unclear. OBJECTIVE:To explore the biomechanical behavior of the lower limb under the action of a single factor of plantarflexor weakness to reveal the mechanism of abnormal gait induced by plantarflexor weakness and to provide guidance for the rehabilitation training of patients with plantarflexor weakness. METHODS:A predictive framework of musculoskeletal multibody dynamics in the sagittal plane was established based on OpenSim Moco to predict lower limb joint angles and muscle activation changes during walking in normal subjects.The validity of the framework was verified by combining the inverse kinematics and electromyogram activation time of the experimental data.Reduced isometric muscle forces were used to model plantarflexor weakness and to compare predicted lower extremity joint angles,joint moments,and muscle energy expenditure with normal subjects to analyze the effects of plantarflexor weakness on lower extremity biomechanics. RESULTS AND CONCLUSION:(1)The Moco-based prediction framework realistically predicted the biomechanical changes of the lower limbs during walking in normal subjects(joint angles:normalized correlation coefficient≥0.73,root mean square error≤7.10°).(2)The musculoskeletal model used a small stride support phase to increase the"heel-walking"gait during plantarflexor weakness.When the plantarflexor weakness reached 80%,the muscle energy expenditure was 5.691 4 J/kg/m,and the maximum activation levels of the gastrocnemius and soleus muscles were 0.72 and 0.53,which might cause the plantarflexor weakness patients to be more prone to fatigue when walking.(3)Muscle energy expenditure was significantly higher when the weakness of plantarflexors exceeded 40%,and the joint angles and moments of the lower limbs deteriorated significantly when the weakness of plantarflexors exceeded 60%,suggesting that there may be a"threshold"for the effect of plantarflexor weakness on gait,which may correspond to the point at which health care professionals should intervene in the clinical setting.
2.Anti-COVID-19 mechanism of Anoectochilus roxburghii liquid based on network pharmacology and molecular docking
Jin ZHU ; Yan-bin WU ; De-fu HUANG ; Bing-ke BAI ; Xu-hui HE ; Dan JIA ; Cheng-jian ZHENG
Acta Pharmaceutica Sinica 2024;59(3):633-642
italic>Anoectochilus roxburghii liquid (spray, a hospital preparation of Wu Mengchao Hepatobiliary Hospital of Fujian Medical University) has shown a good clinical treatment effect during the COVID-19 pandemic, but its material basis and mechanism of action are still unclear. In this study, network pharmacology and molecular docking methods were used to predict the molecular mechanism of
3.Setup error analysis of image registration using various regions of interest after individualized nasopharyngeal carcinoma radiotherapy immobilization
Panpan CAO ; Weiqing WANG ; Yu CHENG ; Jinyan LEI ; Shi LI ; Xiaolong SHI ; Haiyan PENG ; Fu JIN
Chinese Journal of Medical Physics 2024;41(2):151-157
Objective To explore the effects of image registration using various regions of interest(ROI)on the setup error for nasopharyngeal carcinoma(NPC)patients who were immobilized individually.Methods Forty-three NPC patients who required radiotherapy were enrolled.The patients were immobilized with customized plastic foam and thermoplastic mask,and CBCT verification was performed once a week.In CBCT images,ROI was divided into the whole ROI(ROIPTV)and 7 local ROI containing different cervical structures(ROIsphenoid sinus,ROIatlantoaxial,ROIneck3,ROIneck4,ROIneck5,ROIneck6,and ROIneck7),which were then used for registrations with localized CT image.The setup errors in superior-inferior(SI),left-right(LR),anterior-posterior(AP),Pitch,Roll,and Yaw directions were recorded.Results In SI direction,the setup errors within 0.3 cm accounted for 89.74%for ROIneck7,and more than 90%for the other ROI.The proportion of setup errors within 0.3 cm gradually increased with the neck upward in LR direction,and they were 76.78%,81.70%,85.26%,and above 90%for ROIneck7,ROIneck6,ROIneck5,and the other ROI,respectively.In AP direction,the proportions of setup errors within 0.3 cm were less than 90%,except for ROIatlantoaxial and ROIneck3.The setup errors of ROIsphenoid sinus,ROIatlantoaxial,ROIneck3,and ROIneck4 were significantly positively correlated with ROIPTV in SI direction,and the correlation coefficients(R)were 0.94,0.95,0.90,and 0.83,respectively.In LR direction,there were positive correlations between the setup errors of ROIatlantoaxial and ROIsphenoid sinus(R=0.95),ROIneck3 and ROIsphenoid sinus(R=0.91),ROIPTV and ROIneck3(R=0.91).The setup errors of ROIPTV in AP direction were positively correlated with ROIatlantoaxial vertebrae and ROIneck3(R=0.88,0.90).The margins of all ROIs ranged from 0.38 cm to 1.01 cm.The extension of ROIneck6 and ROIneck7 in AP direction exceeded 0.9 cm,and the extension of ROIneck7 reached 0.95 cm in SI direction.Conclusion ROIPTV and ROIsphenoid sinus,ROIatlantoaxial,ROIneck3 are significantly correlated in SI,LR,and AP directions.The setup error of nasopharyngeal carcinoma patients gradually increases with the neck down.The nasopharyngeal and cervical regions need to be expanded in segments when patients are immobilized individually.
4.Predictive value of THR, MHR and NHR combined in assessing coronary artery stenosis severity and percutaneous coronary intervention
Cheng LIU ; Sen LIU ; Hong YANG ; Menglong JIN ; Ziyang LIU ; Zhenyan FU ; Yitong MA
Journal of Xi'an Jiaotong University(Medical Sciences) 2024;45(6):948-953
[Objective] To investigate the value of total cholesterol to high-density lipoprotein cholesterol ratio (THR), monocyte to high-density lipoprotein cholesterol ratio (MHR), and neutrophil to high-density lipoprotein cholesterol ratio (NHR) in predicting patients’ coronary artery stenosis severity and percutaneous coronary intervention (PCI). [Methods] A total of 6 281 patients who underwent coronary angiography at our hospital between June 2021 and June 2023 were retrospectively included in this study. These patients were divided into two groups: PCI group and non-PCI group. The clinical data, laboratory findings, and interventional treatment data of all patients were collected and analyzed. Pearson correlation analysis was employed to evaluate the correlation of THR, MHR and NHR with the degree of coronary artery stenosis. Binary Logistic stepwise regression and receiver operating characteristic (ROC) curve were utilized to assess the influencing factors and predictive value of THR, MHR and NHR single and combined indexes for coronary artery disease patients undergoing PCI. [Results] The PCI group was observed to be older, with a higher proportion of males, individuals with diabetes mellitus, and those who had undergone THR, MHR, NHR, and a Gensini score than the non-PCI group. Conversely, the proportion of previous stent implantation was less than that of the non-PCI group (P<0.05). The results of Pearson correlation analysis showed a significant and positive correlation of the Gensini score with THR (r=0.351, P<0.001), MHR (r=0.192, P<0.001), and NHR (r=0.236, P<0.001) levels, indicating that these variables had a significantly positive correlation with the degree of coronary artery stenosis. The results of multifactorial Logistic regression demonstrated that age >50 years, male sex, diabetes mellitus, THR, MHR, and NHR were independent risk factors for PCI in patients with coronary artery disease. Conversely, a history of previous stent implantation was identified as a protective factor for PCI in patients with coronary artery disease. Furthermore, the results of ROC curves indicated that the combined area under the curve (AUC) was the largest for THR, MHR, and NHR (AUC=0.809, 95%CI: 0.798-0.820). [Conclusion] THR, MHR and NHR correlate with the degree of coronary stenosis and have strong clinical applications in the assessment of coronary artery disease for PCI.
5.Research on population pharmacokinetics of propofol injection in adult patients under general anesthesia
Jin-Xia LI ; An-Cheng GU ; Fu-Miao YUAN ; Cai LI ; Hai-Jun DENG ; Zhong-Yuan XU
The Chinese Journal of Clinical Pharmacology 2024;40(14):2124-2128
Objective To quantitatively assess the influence of various factors on the pharmacokinetic parameters of propofol and to develop a propofol population pharmacokinetic model tailored for Chinese patients.Methods Thirty patients scheduled for selective abdominal surgeries received an anesthesia dose of propofol at 2.0 mg·kg-1.The concentration of propofol in collected venous blood samples was measured using liquid chromatography-tandem mass spectrometry.Polymorphisms in metabolizing enzyme genes were detected through Sanger sequencing technology.Pharmacokinetic parameters were computed,and models were constructed and evaluated using Phoenix Winnonlin software.Results Through software analysis,the drug's in vivo process was best described by a three-compartment model.The population mean values for the central compartment clearance rate(CL),shallow peripheral compartment clearance rate(Q2),deep peripheral compartment clearance rate(Q3),central compartment volume of distribution(V),shallow peripheral compartment volume of distribution(V2),and deep peripheral compartment volume of distribution(V3)were 1.71 L·min-1,1.31 L·min-1,1.51 L·min-1,5.92 L,19.86 L and 99.06 L,respectively.Body weight was identified as a significant covariate affecting CL and V,and was incorporated into the model.Conclusion The evaluation of the final model demonstrates its substantial predictive capability,offering directional guidance for the clinical administration of propofol.
6.Transesophageal echocardiography for surgical therapy of pediatric atrioventricular valve diseases
Jingjing QIAN ; Jingjing YE ; Jin YU ; Lei ZHAO ; Xingpeng FU ; Baofu ZHANG ; Yuting CHENG ; Han WANG
Chinese Journal of Medical Imaging Technology 2024;40(7):982-985
Objective To explore the value of transesophageal echocardiography(TEE)for surgical therapy of pediatric atrioventricular valve diseases.Methods Data of 273 children with atrioventricular valve diseases who underwent surgical operation under extracorporeal circulation were retrospectively analyzed.Transthoracic echocardiography(TTE)was performed within 1 week before,while TEE was performed before and after surgical operation.Whether TTE diagnosis should be adjusted were evaluated according to findings of TEE,so were the effects of surgical treatments,and the ultrasonic diagnostic coincidence rate before operation were compared taken surgical findings as standards.Results TEE was successfully completed in all 273 children.The diagnostic coincidence rate of preoperative TTE was 83.88%(229/273).After adjustment or supplement according to TEE in 44 cases(44/273,16.12%),the ultrasonic diagnostic coincidence rate reached 100%(273/273),higher than that of preoperative TTE alone(P<0.001).Residual shunt was found in 5 cases,while no obvious improvement of valvular regurgitation was noticed in 3 cases with post operative TEE,and after corresponding treatments,re-examination of TEE showed satisfactory efficacy in all the above cases.Conclusion TEE could be used to accurately diagnose pediatric atrioventricular valve diseases before and evaluate the efficacy after surgical treatments,having important clinical application value.
7.Analysis of risk factors for contrast agent extravasation in coronary CT angiography
Haihong LONG ; Fei HAN ; Liangying GAN ; Zhuo LIU ; Jin CHENG ; Chao SUN ; Ling FU
China Medical Equipment 2024;21(9):97-101
Objective:To analyze the influencing factors of contrast agent extravasation in coronary CT angiography(CTA)examination,and to formulate intervention measures.Methods:A retrospective selection of data from 583 patients who underwent coronary CTA at Peking University People's Hospital from January to December 2023 was conducted.Logistic regression was used to analyze the patients'general information and injection protocols,and the risk factors of contrast agent extravasation were determined.Results:Among the 583 patients included,11 patients had contrast agent extravasation during CTA examination,with an extravasation rate of 1.887%.The contrast agent was all extravasated into the subcutaneous tissue,and the CT value did not reach the trigger criteria.Gender,education level,diabetes mellitus,history of intravenous chemotherapy,age,weight,body mass index(BMI),injection rate and injection dose were all associated with the occurrence of contrast agent extravasation,the difference was statistically significant(x2=18.911,7.563,16.567,4.279,t=3.576,3.244,1.865,4.297,6.532,P<0.05).Age,education level,history of intravenous chemotherapy,diabetes mellitus,injection rate and injection dose were risk factors for contrast agent extravasation in coronary CTA(OR=1.008,1.372,1.029,5.092,0.975,1.421,P<0.05).Conclusion:Factors such as low education level,advanced age,history of intravenous chemotherapy,high injection rate and large injection dose can increase the risk of contrast agent extravasation in coronary CTA examination.Radiology staff should closely monitor high-risk patients,strengthen monitoring of intravenous injection of contrast agents for coronary CTA examination,and reduce the occurrence of contrast agent extravasation.
8.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.
9.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.
10.Comparison of next-generation flow cytometry and next-generation sequencing in the assessment of minimal residual disease in multiple myeloma.
Qing Qing WANG ; Li YAO ; Ming Qing ZHU ; Ling Zhi YAN ; Song JIN ; Jing Jing SHANG ; Xiao Lan SHI ; Ying Ying ZHAI ; Shuang YAN ; Wei Qin YAO ; Hong Ying YOU ; De Pei WU ; Cheng Cheng FU
Chinese Journal of Hematology 2023;44(4):328-332

Result Analysis
Print
Save
E-mail