1.Yunchang Capsule in treatment of functional constipation: a randomized, double-blinded controlled, multicenter trial.
Jia GUO ; Ruiming ZHANG ; Zongwen HUANG ; Lei WANG ; Songshan LIU ; Juncheng DIAO ; Siyuan HU ; Binghui LIN
Journal of Integrative Medicine 2009;7(12):1123-9
Background: Although there are some Chinese herbal medicines in treatment of constipation, but no multi-center randomized controlled trials have been carried out to prove their effectiveness. Objective: To evaluate the safety and efficacy of Yunchang Capsule in treatment of functional constipation with deficiency of both qi and yin and internal accumulation of poisonous pathogenic factors syndrome, and to explore the clinical dosage. Design, setting, participants and interventions: A randomized, double-blinded controlled, multicenter trial was conducted. A total of 240 patients with functional constipation from West China Hospital of Sichuan University, Affiliated Hospital of Chengdu University of Traditional Chinese Medicine, Affiliated Hospital of Jiangxi University of Traditional Chinese Medicine, the First Affiliated Hospital of Tianjing University of Traditional Chinese Medicine and Fujian Academy of Traditional Chinese Medicine were randomly divided into three groups: low dose group (80 cases), high dose group (80 cases) and control group (80 cases). Patients in the low dose group were treated with two pills (0.35 g/pill) of Yunchang Capsule and one pill of Yunchang Capsule simulant for three times daily; patients in the high dose group were treated with three pills (0.35 g/pill) of Yunchang Capsule for three times daily; and patients in the control group were treated with three pills (0.35 g/pill) of Biantong Capsule for three times daily. The therapeutic course was 14 days. Main outcome measures: Clinical symptoms, syndromes, and adverse effects were observed before and after the treatment, and blood, urine and stool tests, hepatorenal function and electrocardiogram were also examined. Results: Two cases were excluded, eleven cases were lost to follow-up, and there were 234 patients entered to intention-to-treat (ITT) analysis. After the treatment, the therapeutic effects were calculated by full analysis set (FAS) and per-protocol population set (PPS) analysis respectively. The effects on functional constipation in FAS showed the response rates in the low dose, high dose and control groups were 86.25% (69/80), 82.90% (63/76), and 70.52% (55/78) respectively, and PPS analysis showed the response rates were 85.71% (66/77), 83.56% (61/73), and 70.13% (54/77) respectively. There were no significant differences among the three groups (P>0.05). The effects on traditional Chinese medicine syndrome in FAS showed the response rates in the low dose, high dose and control groups were 78.75% (63/80), 69.74% (53/76), and 67.95% (53/78) respectively, and PPS analysis showed the response rates were 77.92% (60/77), 69.87%(51/73), and 67.53% (52/77) respectively. There were also no significant differences among the three groups (P>0.05). No severe adverse events were observed. Conclusion: Both low dose and high dose of Yunchang Capsule are effective and safe in treatment of functional constipation with deficiency of both qi and yin and internal accumulation of poisonous pathogenic factors syndrome.
2. The Correlation Analysis of Turnover Intention,Moral Distress and Stressor in Nurses
Ye LUO ; Guanjun BAO ; Ruiming CHEN ; Cui MAO ; Baofang JIA ; Youqin YU ; Guofeng YU
Chinese Journal of Industrial Hygiene and Occupational Diseases 2018;36(8):590-593
Objective:
To explore the turnover intention of nurses in Quzhou and its influential factors.
Methods:
From July to August in 2017 cross-sectional study and self-filled questionnaire are used to investigate 980 nurses from 7 hospitals in Quzhou, including two third-level hospitals and five second-level ones. T-test, F-test, Pearson and linear regression are used in data with the method of statistical analysis.
Results:
The total score of turnover intention of nurses was (14.95±3.17) points, and the index value was 62.27%, of which the turnover intention was above 78%. The analysis of Single factor showed that age (
3.Computer aided design of 3D dental segmentation and its application scenarios
Jiali CUI ; Minhui HUANG ; Donglin LIU ; Ruiming JIA ; Han LI
Chinese Journal of Tissue Engineering Research 2024;28(2):252-257
BACKGROUND:Traditional 3D dental segmentation methods usually utilize predefined spatial geometric features,such as curvature and normal vectors,as the reference information for tooth segmentation. OBJECTIVE:To propose an algorithm for complex 3D dental segmentation and deeply explore the correlation between segmentation results and application scenarios. METHODS:A 3D dental segmentation algorithm based on dual stream extraction of structural features and spatial features was established,and the modular design of split flow was used to avoid feature confusion.Among them,the attention mechanism on the structural feature flow was used to capture the fine-grained semantic information required for tooth segmentation,and the Tran Net based on the spatial feature flow was used to ensure the robustness of the model to complex tooth and jaw segmentation.This algorithm verified its effectiveness and reliability based on clinical datasets including healthy dental jaws and complex dental jaws such as missing teeth,malocclusion and dentition crowding.The segmentation performance of the model was measured in terms of overall accuracy,mean intersection over union,and directional cut discrepancy. RESULTS AND CONCLUSION:The overall segmentation accuracy of this algorithm in the clinical data set is 97.08%,and the segmentation effect is superior to that of other competitive methods from the qualitative and quantitative perspectives.It is verified that the structural feature flow designed in this paper can extract more precise local details of tooth shape from coordinate and normal information by constructing an attention aggregation mechanism,and the spatial feature flow designed in this paper can ensure the robustness of the model to complex teeth such as missing teeth,dislocated teeth,and crowded dentition by constructing a transformation network(Tran Net).Therefore,this tooth segmentation algorithm is highly reliable for clinicians'practical reference.
4.Mental health status of relative donors versus unrelated donors before and after hematopoietic stem cell collection
Yanhong HOU ; Shuyan ZHAO ; Qinjiazi QI ; Lihui LIU ; Xiaofei CHEN ; Bing SHI ; Ling ZHU ; Chen XU ; Ruiming JIA ; Weiwei WANG ; Jing YANG ; Yongqing LIANG ; Yi TAN ; Fuxing LI ; Liping YE
Chinese Journal of Tissue Engineering Research 2014;(28):4524-4529
BACKGROUND:Currently, hematopoietic stem celltransplantation mainly depends on unrelated donors. Mental state of the unrelated donors is very important to ensure the successful celltransplantation. OBJECTIVE:To compare mental and physical health status of relative and unrelated donors during the hematopoietic stem cellcol ection. METHODS:We compared the mental (Symptom Checklist-90) and physical (temperature, breath, pulse, and blood pressure) health status of relative and unrelated donors at admission, 1 day before cellcol ection, and 1-2 days after cellcol ection.RESULTS AND CONCLUSION:At admission, there was no difference in the mental health status of relative and unrelated donors (P>0.05), while the scores on Symptom Checklist-90 were significantly higher in the unrelated donors than the relative donors, including total score, forced, depression, anxiety, hostility, and fear (P<0.05). The physical signs were steady in the unrelated and relative donors, but the difference in breath and systolic blood pressure was of great significance before and after cellcol ection in the two groups. These findings indicate that during cellcol ection, the unrelated donors exhibit heavier mental load than the relative donors, and psychological counseling and health guidance are necessary.
5.Protective effect of ETaR siRNA on renal ischemia-reperfusion injury in rats by changing the immuno-microenvironment of kidney
Yichen JIA ; Long ZHENG ; Long LI ; Jiawei LI ; Ming XU ; Tongyu ZHU ; Ruiming RONG
Chinese Journal of Organ Transplantation 2019;40(2):68-71
Objective To explore the protective effect of ETaR siRNA on renal ischemia reperfusion injury (IRI) by changing the immuno-microenvironment in rats .Methods A total of 40 male Sprague-Dawley (SD) rats were randomized into four groups of sham ,IR ,negative siRNA and ETaR siRNA .A renal IRI model was generated by clamping left renal artery .ETaR siRNA was delivered into kidney through renal vein by a retrograde 'hydrodynamic' injection .Blood samples were collected for detecting renal function and kidney tissue harvested for Hematoxylin & Eosin (HE) staining , TdT-mediated dUTP Nick-End Labeling (TUNEL) staining ,polymerase chain reaction (PCR) and Western blot at 48 h post-reperfusion .Results Serum creatinine ,blood urea nitrogen and renal apoptotic cells increased and renal tissue was injured after IR . The changes were inhibited by ETaR siRNA . PCR showed that ETaR siRNA treatment significantly down-regulated the expressions of inflammatory factors TNF-α , IFN-γ and IL-6 and transcription factor NF-κB induced by IR .Conclusions ETaR siRNA can effectively improve the immunomicroenvironment and thereby alleviate renal ischemia reperfusion injury .
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.