1.Quality standard for Zhujieshen Formula Granules based on standard decoction
Chen-Hui YE ; Hai-Ming TANG ; Cheng-Fu YUAN ; Jia-Long GUO ; Ji-Hong ZHANG ; Ding YUAN ; Yu-Min HE
Chinese Traditional Patent Medicine 2024;46(9):2863-2869
AIM To establish the quality standard of the zhujieshen Formula Granules based on standard decoction.METHODS The contents and transfer rates of ginsenoside Ro and chikusetsu saponin Ⅳa in standard decoction and formula granules were determined by HPLC,after which the transfer rates were calculated.The HPLC characteristic chromatograms of standard decoctions were established,after which cluster analysis and principal component analysis were adopted.Then the HPLC characteristic chromatograms of formula granules were established.RESULTS Nine common peaks were found in the HPLC characteristic chromatograms of seventeen batches of standard decoctions with the similarities of more than 0.9(except for S6,S12),which were clustered into two categories,and the accumulative variance contribution rate of three principal components reached 86.7%.The contents of ginsenoside Ro in three batches of formula granules were 83.1-88.6 mg/g,and the transfer rates were 53.1%-55.5%.The contents of chikusetsusaponin Ⅳa were 14.8-15.0 mg/g,and the transfer rates were 47.4%-48.1%.Nine common peaks were found in the HPLC characteristic chromatograms of three batches of formula granules with the similarities of 0.998,0.998 and 0.999,respectively.CONCLUSION This reasonable and reliable method can comprehensively evaluate the quality of Zhujieshen Formula Granules,and provide a reference for the quality control.
2.A multicenter study of neonatal stroke in Shenzhen,China
Li-Xiu SHI ; Jin-Xing FENG ; Yan-Fang WEI ; Xin-Ru LU ; Yu-Xi ZHANG ; Lin-Ying YANG ; Sheng-Nan HE ; Pei-Juan CHEN ; Jing HAN ; Cheng CHEN ; Hui-Ying TU ; Zhang-Bin YU ; Jin-Jie HUANG ; Shu-Juan ZENG ; Wan-Ling CHEN ; Ying LIU ; Yan-Ping GUO ; Jiao-Yu MAO ; Xiao-Dong LI ; Qian-Shen ZHANG ; Zhi-Li XIE ; Mei-Ying HUANG ; Kun-Shan YAN ; Er-Ya YING ; Jun CHEN ; Yan-Rong WANG ; Ya-Ping LIU ; Bo SONG ; Hua-Yan LIU ; Xiao-Dong XIAO ; Hong TANG ; Yu-Na WANG ; Yin-Sha CAI ; Qi LONG ; Han-Qiang XU ; Hui-Zhan WANG ; Qian SUN ; Fang HAN ; Rui-Biao ZHANG ; Chuan-Zhong YANG ; Lei DOU ; Hui-Ju SHI ; Rui WANG ; Ping JIANG ; Shenzhen Neonatal Data Network
Chinese Journal of Contemporary Pediatrics 2024;26(5):450-455
Objective To investigate the incidence rate,clinical characteristics,and prognosis of neonatal stroke in Shenzhen,China.Methods Led by Shenzhen Children's Hospital,the Shenzhen Neonatal Data Collaboration Network organized 21 institutions to collect 36 cases of neonatal stroke from January 2020 to December 2022.The incidence,clinical characteristics,treatment,and prognosis of neonatal stroke in Shenzhen were analyzed.Results The incidence rate of neonatal stroke in 21 hospitals from 2020 to 2022 was 1/15 137,1/6 060,and 1/7 704,respectively.Ischemic stroke accounted for 75%(27/36);boys accounted for 64%(23/36).Among the 36 neonates,31(86%)had disease onset within 3 days after birth,and 19(53%)had convulsion as the initial presentation.Cerebral MRI showed that 22 neonates(61%)had left cerebral infarction and 13(36%)had basal ganglia infarction.Magnetic resonance angiography was performed for 12 neonates,among whom 9(75%)had involvement of the middle cerebral artery.Electroencephalography was performed for 29 neonates,with sharp waves in 21 neonates(72%)and seizures in 10 neonates(34%).Symptomatic/supportive treatment varied across different hospitals.Neonatal Behavioral Neurological Assessment was performed for 12 neonates(33%,12/36),with a mean score of(32±4)points.The prognosis of 27 neonates was followed up to around 12 months of age,with 44%(12/27)of the neonates having a good prognosis.Conclusions Ischemic stroke is the main type of neonatal stroke,often with convulsions as the initial presentation,involvement of the middle cerebral artery,sharp waves on electroencephalography,and a relatively low neurodevelopment score.Symptomatic/supportive treatment is the main treatment method,and some neonates tend to have a poor prognosis.
3.CAMU-Net:an improved model for retinal vessel segmentation based on Attention U-Net
Yunfei TANG ; Zhiping DAN ; Zhengtian HONG ; Yonglin CHEN ; Peilin CHENG ; Guo CHENG ; Fangting LIU
Chinese Journal of Medical Physics 2024;41(8):960-968
An improved U-Net model(channel attention module U-Net,CAMU-Net)is proposed to achieve precise segmentation of retinal vessels.CAMU-Net model enhances its understanding of regional features by employing residual enhancement convolution to extract important information from the regions,improves the global feature acquisition capability by introducing feature refinement module to promote feature extraction,realizes precise segmentation by adding channel attention module to capture image features accurately,and enhances its capability to perceive target boundaries and details through a multi-scale feature fusion structure.The ablation study on the DRIVE dataset validates the role of each module in retinal vessel segmentation.The comparison with other mainstream network models on DRIVE and STARE datasets verify that CAMU-Net model is superior to other models.
4.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.
5.Inflammatory pseudotumor-like follicular dendritic cell sarcoma of the spleen:2 cases report and literature review
Huan DU ; Li-Shuang LIN ; Zun-Guo DU ; Jie FAN ; Yun BAO ; Feng TANG ; Yuan-Yuan CHENG
Fudan University Journal of Medical Sciences 2024;51(1):128-132
Inflammatory pseudotumor-like follicular dendritic cell sarcoma(IPT-like FDCS)is a very rare malignant tumor that is considered to be associated with Epstein-Barr virus.Two patients in this report were generally healthy,and the spleen tumor was found during physical examination.After completing the examination,laparoscopic total splenectomy was performed,and the pathological result showed IPT-like FDCS.Postoperative chemoradiotherapy was not performed in either case.The disease has no characteristic clinical manifestations,and imaging overlaps with sarcoma.Microscopic manifestation showed CD21,CD23 and EBER positive spindle tumor cells in the inflammatory background with matted arrangement.Due to the interwoven distribution of tumor cells and lymphocytes,diagnosis is difficult.In this article,we report this two cases with literature review and summarize their clinical and pathological features to improve diagnostic cognition.
6.Study on the effect of different administration regimens of iprrazole enteric-coated tablets on inhibiting gastric acid secretion
Ting-Yuan PANG ; Zhi WANG ; Zi-Shu HU ; Zi-Han SHEN ; Yue-Qi WANG ; Ya-Qian CHEN ; Xue-Bing QIAN ; Jin-Ying LIANG ; Liang-Ying YI ; Jun-Long LI ; Zhi-Hui HAN ; Guo-Ping ZHONG ; Guo-Hua CHENG ; Hai-Tang HU
The Chinese Journal of Clinical Pharmacology 2024;40(1):92-96
Objective To compare the effects of 20 mg qd and 10 mg bidadministration of iprrazole enteric-coated tablets on the control of gastric acid in healthy subjects.Methods A randomized,single-center,parallel controlled trial was designed to include 8 healthy subjects.Randomly divided into 2 groups,20 mg qd administration group:20 mg enteric-coated tablets of iprrazole in the morning;10 mg bid administration group:10 mg enteric-coated tablets of iprrazole in the morning and 10 mg in the evening.The pH values in the stomach of the subjects before and 24 h after administration were monitored by pH meter.The plasma concentration of iprazole after administration was determined by HPLC-MS/MS.The main pharmacokinetic parameters were calculated by Phoenix WinNonlin(V8.0)software.Results The PK parameters of iprrazole enteric-coated tablets and reference preparations in fasting group were as follows:The Cmax of 20 mg qd group and 10 mg bid group were(595.75±131.15)and(283.50±96.98)ng·mL-1;AUC0-t were(5 531.94±784.35)and(4 686.67±898.23)h·ng·mL-1;AUC0-∞ were(6 003.19±538.59)and(7 361.48±1 816.77)h·ng·mL-1,respectively.The mean time percentage of gastric pH>3 after 20 mg qd and 10 mg bid were 82.64%and 61.92%,and the median gastric pH within 24 h were 6.25±1.49 and 3.53±2.05,respectively.The mean gastric pH values within 24 h were 5.71±1.36 and 4.23±1.45,respectively.The correlation analysis of pharmacokinetic/pharmacodynamics showed that there was no significant correlation between the peak concentration of drug in plasma and the inhibitory effect of acid.Conclusion Compared with the 20 mg qd group and the 10 mg bid group,the acid inhibition effect is better,the administration times are less,and the safety of the two administration regimes is good.
7.Drug prophylaxis evidence-based regimens for venous thromboembolism after joint replacement
Xiaowei FENG ; Na GUO ; Baozhen WANG ; Jie CHENG ; Yuchen TANG ; Jun QI ; Zhiqiang DONG
China Pharmacy 2024;35(22):2799-2807
OBJECTIVE To sort out drug prophylaxis regimens for venous thromboembolism (VTE) in adult patients after artificial joint replacement, and provide a basis for clinic. METHODS Databases and related official websites were searched according to the “6S” model, including the National Institute for Health and Clinical Excellence (NICE), the Scottish Intercollegiate Guidelines Network (SIGN), the Guidelines International Network (GIN), the National Guidelines Clearinghouse (NGC), PubMed, Embase, CNKI, Wanfang database and SinoMed, to search for guidelines, expert consensuses, systematic evaluations, randomized controlled trials, and cohort studies about preventing VTE in adult patients after artificial joint replacement from the inception until December 2023. Literature that met the inclusion criteria were selected, and the quality evaluation of the literature was completed by 2 researchers independently; the evidence rating was performed by using the Joanna Briggs Institute (JBI) evidence pre-classification and evidence rank system (2014 edition). RESULTS A total of 36 articles were included in the study, which were categorized into 9 areas of risk assessment, post-assessment prophylaxis, medication selection, medication method, duration of medication prophylaxis, medication prophylaxis observation points, contraindications to drug prophylaxis, response to bleeding, and health education, which were summarized to form 37 pieces of evidence on the pharmacological prophylaxis for postoperative VTE in patients who underwent artificial joint replacement. CONCLUSIONS The evidence of drug prophylaxis for postoperative VTE in patients who underwent artificial joint replacement summarized in this study is comprehensive, with certain scientific reference and practicality, which can provide clinical pharmacists with a scientific evidence-based basis for perioperative VTE prophylaxis management.
8.Dental Age Estimation in Northern Chinese Han Children and Adolescents Using Demirjian's Method Combined with Machine Learning Algorithms
Yu-Xin GUO ; Wen-Qing BU ; Yu TANG ; Di WU ; Hui YANG ; Hao-Tian MENG ; Yu-Cheng GUO
Journal of Forensic Medicine 2024;40(2):135-142
Objective To investigate the application value of combining the Demirjian's method with ma-chine learning algorithms for dental age estimation in northern Chinese Han children and adolescents.Methods Oral panoramic images of 10 256 Han individuals aged 5 to 24 years in northern China were collected.The development of eight permanent teeth in the left mandibular was classified into different stages using the Demirjian's method.Various machine learning algorithms,including support vector re-gression(SVR),gradient boosting regression(GBR),linear regression(LR),random forest regression(RFR),and decision tree regression(DTR)were employed.Age estimation models were constructed based on total,female,and male samples respectively using these algorithms.The fitting performance of different machine learning algorithms in these three groups was evaluated.Results SVR demonstrated superior estimation efficiency among all machine learning models in both total and female samples,while GBR showed the best performance in male samples.The mean absolute error(MAE)of the op-timal age estimation model was 1.246 3,1.281 8 and 1.153 8 years in the total,female and male samples,respectively.The optimal age estimation model exhibited varying levels of accuracy across dif-ferent age ranges,which provided relatively accurate age estimations in individuals under 18 years old.Conclusion The machine learning model developed in this study exhibits good age estimation effi-ciency in northern Chinese Han children and adolescents.However,its performance is not ideal when applied to adult population.To improve the accuracy in age estimation,the other variables can be con-sidered.
9.Risk Factors and Predictive Model for Severe Myelosuppression due to Chemotherapy in Triple-negative Breast Cancer
Jia-liang HUANG ; Kun-jian XIA ; Wei GUO ; Cheng-peng WAN ; Lin WANG ; Na TANG ; Ding LI
Journal of Sun Yat-sen University(Medical Sciences) 2023;44(5):886-892
ObjectiveTo investigate the risk factors and construct a predictive model for severe myelosuppression due to chemotherapy in triple negative breast cancer (TNBC). MethodsPatients with TNBC who received anthracycline combined with cyclophosphamide sequential paclitaxel chemotherapy regimen at the Second Affiliated Hospital of Nanchang University from September 2, 2016 to September 2, 2021 were selected and assigned to severe myelosuppression group and no/mild myelosuppression group. The χ2 test and binary logistic regression were used to analyze the risk factors for severe myelosuppression due to chemotherapy and to develop a prediction model. Hosmer-Lemeshow test and receiver operating characteristic (ROC) curve were used to evaluate the predictive efficiency of the regression model. Kappa consistency test was used to verify the regression model externally. ResultsA total of 207 patients who met the inclusion were enrolled and 106 patients (51%) had severe myelosuppression. Binary logistic regression multivariate analysis showed that age 40 to 60 years (OR = 3.463, 95% CI: 1.144 to 10.486, P = 0.028), age >60 years (OR = 3.474, 95% CI: 1.004 to 12.020, P = 0.049), body mass index (BMI) 18.5 to 24.0 (OR = 1.445, 95% CI: 0.686 to 3.087, P = 0.328), BMI <18.5 (OR = 3.582, 95% CI: 1.260 to 10.182, P = 0.017), tumor TNM stage Ⅱ (OR = 1.698, 95% CI: 0.831 to 3.468, P = 0.146), tumor TNM stage Ⅲ (OR = 2.943, 95% CI: 1.199 to 7.227, P = 0.019), previous diabetes (OR = 2.441, 95% CI: 1.076 to 5.539, P = 0.033), low pre-treatment albumin level (OR = 2.759, 95% CI: 1.141 to 6.669, P = 0.024) and low pre-treatment lymphocytes (OR = 3.428, 95% CI: 1.689 to 6.958, P = 0.001) were independent risk factors for severe myelosuppression due to chemotherapy. The χ2 value for the logistic regression model Hosmer-Lemeshow test was 11.507, P= 0.175, the area under the ROC curve was 0.763, standard error 0.033, 95% CI: 0.698-0.828, P=0.000. External validation showed that the prediction model had a specificity of 88% and a sensitivity of 80%; the kappa value was 0.679, standard error 0.081, P=0.000. conclusionThis logistic regression model had high predictive efficacy and is useful for clinicians to predict whether patients with TNBC develop severe myelosuppression.
10.Guideline for the diagnosis and treatment of chronic refractory wounds in orthopedic trauma patients (version 2023)
Yuan XIONG ; Bobin MI ; Chenchen YAN ; Hui LI ; Wu ZHOU ; Yun SUN ; Tian XIA ; Faqi CAO ; Zhiyong HOU ; Tengbo YU ; Aixi YU ; Meng ZHAO ; Zhao XIE ; Jinmin ZHAO ; Xinbao WU ; Xieyuan JIANG ; Bin YU ; Dianying ZHANG ; Dankai WU ; Guangyao LIU ; Guodong LIU ; Qikai HUA ; Mengfei LIU ; Yiqiang HU ; Peng CHENG ; Hang XUE ; Li LU ; Xiangyu CHU ; Liangcong HU ; Lang CHEN ; Kangkang ZHA ; Chuanlu LIN ; Chengyan YU ; Ranyang TAO ; Ze LIN ; Xudong XIE ; Yanjiu HAN ; Xiaodong GUO ; Zhewei YE ; Qisheng ZHOU ; Yong LIU ; Junwen WANG ; Ping XIA ; Biao CHE ; Bing HU ; Chengjian HE ; Guanglin WANG ; Dongliang WANG ; Fengfei LIN ; Jiangdong NI ; Aiguo WANG ; Dehao FU ; Shiwu DONG ; Lin CHEN ; Xinzhong XU ; Jiacan SU ; Peifu TANG ; Baoguo JIANG ; Yingze ZHANG ; Xiaobing FU ; Guohui LIU
Chinese Journal of Trauma 2023;39(6):481-493
Chronic refractory wound (CRW) is one of the most challengeable issues in clinic due to complex pathogenesis, long course of disease and poor prognosis. Experts need to conduct systematic summary for the diagnosis and treatment of CRW due to complex pathogenesis and poor prognosis, and standard guidelines for the diagnosis and treatment of CRW should be created. The Guideline forthe diagnosis and treatment of chronic refractory wounds in orthopedic trauma patients ( version 2023) was created by the expert group organized by the Chinese Association of Orthopedic Surgeons, Chinese Orthopedic Association, Chinese Society of Traumatology, and Trauma Orthopedics and Multiple Traumatology Group of Emergency Resuscitation Committee of Chinese Medical Doctor Association after the clinical problems were chosen based on demand-driven principles and principles of evidence-based medicine. The guideline systematically elaborated CRW from aspects of the epidemiology, diagnosis, treatment, postoperative management, complication prevention and comorbidity management, and rehabilitation and health education, and 9 recommendations were finally proposed to provide a reliable clinical reference for the diagnosis and treatment of CRW.

Result Analysis
Print
Save
E-mail