1.New interpretation of the theoretical connotation of the correspondence between prescription and syndrome from the longitudinal perspective of"traditional Chinese medicine state"
Shijie QIAO ; Chao FU ; Ziyao CAI ; Wen TANG ; Zhanglin WANG ; Zhibin WANG ; Kang TONG ; Mingzhu LI ; Hairui HAN ; Duoduo LIN ; Shaodong ZHANG ; Huangwei LEI ; Yang WANG ; Candong LI
Journal of Beijing University of Traditional Chinese Medicine 2024;47(6):760-764
The correspondence between prescription and syndrome is the advantage and characteristic of traditional Chinese medicine(TCM)treatment.However,the pathogenesis of clinical diseases is complex and the condition is changeable,and the clinical application is difficult to achieve the maximum effect under the existing cognition of the correspondence between prescription and syndrome.In this paper,the five categories of physiological characteristics,pathological characteristics,constitution,syndrome,and disease of the longitudinal classification of"TCM state"are introduced into the correspondence of prescription and syndrome.Under the vertical perspective of"TCM state",the theoretical connotation of the correspondence between prescription and syndrome is interpreted as"correspondence between prescription and state",namely correspondence of"prescription-physiological characteristics",correspondence of"prescription-pathological characteristics",correspondence of"prescription-constitution",correspondence of"prescription-syndrome",and correspondence of"prescription-disease".It is hoped to accurately grasp the corresponding connotation of the correspondence between prescription and syndrome,in order to deepen the clinical thinking mode of TCM.
2.Application strategy of the"You Gu Wu Yun"theory to reduce the toxicity of traditional Chinese medicine from the perspective of"traditional Chinese medicine state"
Shijie QIAO ; Zongchen WEI ; Ziyao CAI ; Chao FU ; Shunan LI ; Zhanglin WANG ; Liqing HUANG ; Kang TONG ; Wen TANG ; Zhibin WANG ; Hairui HAN ; Duoduo LIN ; Shaodong ZHANG ; Huangwei LEI ; Yang WANG ; Candong LI
Journal of Beijing University of Traditional Chinese Medicine 2024;47(11):1506-1511
Based on the"You Gu Wu Yun"theory in traditional Chinese medicine(TCM),this paper believes that"Gu"in"You Gu Wu Yun"is extended to"state"from the perspective of"TCM state".In order to avoid the adverse reactions of TCM,the macro,meso,and micro three views should be used together,and macro,meso,and micro parameters should be integrated.We should also carefully identify the physiological characteristics,pathological characteristics,constitution,syndrome,and disease of human body by combining qualitative and quantitative method,highlighting the relationship between the prescription and the"state".The correspondence between prescription and the"state"will reduce the risk of adverse reactions of TCM.In this paper,we hope to focus on the guiding role of the"You Gu Wu Yun"theory in TCM research,to give full play to the characteristics and advantages of TCM,and to dialectically treat the role of TCM.
3.Artificial intelligence and radiomics-assisted X-ray in diagnosis of lumbar osteoporotic vertebral compression fractures
Kang-En HAN ; Hong-Wei WANG ; Hong-Wen GU ; Yin HU ; Shi-Lei TANG ; Zhi-Hao ZHANG ; Hai-Long YU
Journal of Regional Anatomy and Operative Surgery 2024;33(7):579-583
Objective To explore the efficiency of artificial intelligence and radiomics-assisted X-ray in diagnosis of lumbar osteoporotic vertebral compression fractures(OVCF).Methods The clinical data of 455 patients diagnosed as lumbar OVCF by MRI in our hospital were selected.The patients were divided into the training group(n=364)and the validation group(n=91),X-ray films were extracted,the image delineation,feature extraction and data analysis were carried out,and the artificial intelligence radiomics deep learning was applied to establish a diagnostic model for OVCF.After verifying the effectiveness of the model by receiver operating characteristic(ROC)curve,area under the curve(AUC),calibration curve,and decision curve analysis(DCA),the efficiencies of manual reading,model reading,and model-assisted manual reading of X-ray in the early diagnosis of OVCF were compared.Results The ROC curve,AUC and calibration curve proved that the model had good discrimination and calibration,and excellent diagnostic performance.DCA demonstrated that the model had a higher clinical net benefit.The diagnostic efficiency of the manual reading group:the accuracy rate was 0.89,the recall rate was 0.62.The diagnostic efficiency of the model reading group:the accuracy rate was 0.93,the recall rate was 0.86,the model diagnosis showed good predictive performance,which was significantly better than the manual reading group.The diagnostic efficiency of the model-assisted manual reading group:the accuracy rate was 0.92,the recall rate was 0.72,and the recall rate of the model-assisted manual reading group was higher than that of the manual reading group,but lower than that of the model reading group,indicating the superiority of the model diagnosis.Conclusion The diagnostic model established based on artificial intelligence and radiomics in this study has reached an ideal level of efficacy,with better diagnostic efficacy compared with manual reading,and can be used to assist X-ray in the early diagnosis of OVCF.
4.Establishment and validation of a prediction model to evaluate the prolonged hospital stay after anterior cervical discectomy and fusion
Hong-Wen GU ; Hong-Wei WANG ; Shi-Lei TANG ; Kang-En HAN ; Zhi-Hao ZHANG ; Yin HU ; Hai-Long YU
Journal of Regional Anatomy and Operative Surgery 2024;33(7):604-609
Objective To develop a clinical prediction model for predicting risk factors for prolonged hospital stay after anterior cervical discectomy and fusion(ACDF).Methods The clinical data of 914 patients underwent ACDF treatment for cervical spondylotic myelopathy(CSM)were retrospectively analyzed.According to the screening criteria,800 eligible patients were eventually included,and the patients were divided into the development cohort(n=560)and the validation cohort(n=240).LASSO regression was used to screen variables,and multivariate Logistic regression analysis was used to establish a prediction model.The prediction model was evaluated from three aspects:differentiation,calibration and clinical effectiveness.The performance of the model was evaluated by area under the curve(AUC)and Hosmer-Lemeshow test.Decision curve analysis(DCA)was used to evaluate the clinical effectiveness of the model.Results In this study,the five factors that were significantly associated with prolonged hospital stay were male,abnormal BMI,mild-to-moderate anemia,stage of surgery(morning,afternoon,evening),and alcohol consumption history.The AUC of the development cohort was 0.778(95%CI:0.740 to 0.816),with a cutoff value of 0.337,and that of the validation cohort was 0.748(95%CI:0.687 to 0.809),with a cutoff value of 0.169,indicating that the prediction model had good differentiation.At the same time,the Hosmer-Lemeshow test showed that the model had a good calibration degree,and the DCA proved that it was effective in clinical application.Conclusion The prediction model established in this study has excellent comprehensive performance,which can better predict the risk of prolonged hospital stay,and can guide clinical intervention as soon as possible,so as to minimize the postoperative hospital stay and reduce the cost of hospitalization.
5.Risk factors for surgical site infection after transforaminal lumbar interbody fusion in treatment of lumbar degenerative diseases
Kang-En HAN ; Hong-Wei WANG ; Hong-Wen GU ; Yin HU ; Shi-Lei TANG ; Zhi-Hao ZHANG ; Hai-Long YU
Journal of Regional Anatomy and Operative Surgery 2024;33(9):810-814
Objective To explore the risk factors for surgical site infection(SSI)after transforaminal lumbar interbody fusion(TLIF)for the treatment of lumbar degenerative diseases.Methods A total of 1 000 patients who underwent TLIF for lumbar degenerative diseases in our hospital were included and divided into the infection group(n=23)and the non-infection group(n=977)according to whether the surgical incision was infected.General data,surgical and laboratory indicators of patients were collected,and potential risk factors of SSI were screened by univariate analysis and multivariate regression analysis,a nomogram model was established,and its predictive efficiency was validated by the receive operating characteristic(ROC)curve.Results The incidence of SSI in patients after TLIF was 2.3%.The results of univariate analysis showed that age,operative time,intraoperative blood loss,preoperative C-reactive protein(CRP),smoking,and diabetes mellitus were the significant risk factors for the occurrence of SSI.Multivariate regression analysis showed that older age,longer operation time,more intraoperative blood loss,smoking and diabetes mellitus were the independent risk factors for postoperative SSI.ROC curve showed that the nomogram model established in this study has good predictive efficiency.Conclusion Older age,longer operation time,more intraoperative blood loss,smoking,and diabetes mellitus were independent risk factors for postoperative SSI.For patients with these high risk factors,corresponding intervention measures should be taken before operation to reduce the incidence of SSI.
6.Successfully diagnosed and treated of 2 peritoneal dialysis patients with cholangiolithiasis: a case report and literature review
Lei WU ; Jiandong NIE ; Qinghua SUN ; Chunying SHI ; Wen TANG
Clinical Medicine of China 2024;40(3):212-215
Objective:To summarize the successful diagnosis and treatment experience of two patients with peritoneal dialysis complicated with cholangiolithiasis and cholangitis who received endoscopic retrograde cholangiopancreatography (ERCP).Methods:A retrospective analysis was conducted on the clinical data of two patients with peritoneal dialysis combined with bile duct stones at Peking University Third Hospital who underwent ERCP combined with endoscopic sphincterotomy and were successfully transferred out of the hospital. Observe successful removal of bile duct stones and adverse events related to surgery, such as pancreatitis, summarize experience, and conduct literature review.Result:The overall success rate of stone removal in 2 patients was 100%, and they recovered well after treatment without severe postoperative bleeding. One patient developed postoperative pancreatitis and secondary peritonitis after ECRP, and active anti infection treatment did not affect peritoneal function. Regular peritoneal dialysis was maintained during the perioperative period, and postoperative close follow-up and flexible adjustment of peritoneal dialysis dose and concentration were carried out to ensure a smooth transition of patients to regular and stable peritoneal dialysis.Conclusion:ERCP is a feasible treatment for PD patients combined with choledocholithiasis, and can be well tolerated by them. The treatment of peritoneal dialysis patients requires long-term follow-up and management, and multidisciplinary cooperation is required when acute complications occur.
7.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.
8.Risk factors for adenocarcinoma of duodenal papilla
Zhan ZHAN ; Kun LIU ; Wen LI ; Song ZHANG ; Bei TANG ; Wei CAI ; Qi LI ; Jun CHEN ; Lei WANG ; Shanshan SHEN
Chinese Journal of Digestive Endoscopy 2024;41(5):379-383
Objective:To explore the risk factors for duodenal papillary adenocarcinoma by comparing the differences in clinical and endoscopic features between patients with duodenal papillary adenomas and adenocarcinomas.Methods:This study retrospectively included patients diagnosed as having duodenal papillary adenocarcinoma and adenoma from January 1st 2018 to June 1st 2023 at Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School. Demographic, clinical manifestations, laboratory tests, imaging, endoscopic and pathological characteristics of patients with adenomas and adenocarcinomas were collected and compared. Multivariable logistic regression analysis was employed to identify high-risk factors for duodenal papillary adenocarcinoma.Results:A total of 119 cases of adenocarcinoma and 171 cases of adenoma were included. There were statistically significant differences between the two groups in terms of patient age, body mass index (BMI), clinical symptoms, family history of malignant tumors, bile duct dilation, pancreatic duct dilation, lesion size, adenoma site classification, stage assessed by EUS, and involvement of the bile and pancreatic ducts ( P<0.05). Univariate logistic regression analysis revealed that non-ampullary lesions, involvement not limited to the major duodenal papilla assessed by EUS, involvement of the bile and pancreatic ducts assessed by EUS, age ≥60 years, lesion size ≥1.5 cm, clinical symptoms, family history of malignant tumors, bile duct dilation, and pancreatic duct dilation were risk factors for duodenal papillary adenocarcinoma. Multivariate logistic regression analysis showed that non-ampullary lesions ( OR=7.00, 95% CI:1.44-34.15, P=0.016), involvement not limited to the major duodenal papilla assessed by EUS ( OR=13.77, 95% CI: 4.69-40.45, P<0.001), age ≥60 years ( OR=2.52, 95% CI: 1.23-5.18, P=0.011), bile duct dilation ( OR=2.58, 95% CI: 1.12-5.94, P=0.026), and lesion size ≥1.5 cm ( OR=2.76, 95% CI:1.36-5.59, P=0.005) were independent risk factors for duodenal papillary adenocarcinoma. Conclusion:This study shows the independent risk factors for duodenal papillary adenocarcinoma, which include non-ampullary lesions, involvement not limited to the major duodenal papilla assessed by EUS, age ≥60 years, bile duct dilation, and lesion size ≥1.5 cm.
9.Value of MRI Ovarian-Adnexal Reporting and Data System in Differentiating Benign and Malignant Ovarian-Adnexal Lesions
Wen-hao FU ; Xiao-xiao HU ; Meng-ya SUN ; Fan ZHANG ; Ke WANG ; Guang-lei TANG ; Jian GUAN
Journal of Sun Yat-sen University(Medical Sciences) 2023;44(1):99-105
ObjectiveTo explore the value of MRI ovarian-adnexal reporting and data system (O-RADS MRI) in differentiating benign and malignant ovarian-adnexal masses.MethodsTotally 146 patients (202 masses) with ovarian-adnexal lesions who underwent pelvic examination at 3.0 T MRI according to standardized scan protocol of O-RADS MRI and were pathologically confirmed in The First Affiliated Hospital of Sun Yat-sen University between January 2020 and February 2022 were retrospectively analyzed. Two radiologists classified the ovarian-adnexal masses as risk levels 1~5 according to O-RADS MRI and evaluated their consistency by Cohen’s kappa. Using pathological findings as the gold standard, the detection yield of malignant lesions with O-RADS MRI classification was analyzed. Sensitivity, specificity, accuracy, and the area under the receiver operating characteristic curve were calculated (cutoff for malignancy, score ≥ 4).ResultsOf 202 masses, 62 (30.7%) were malignant, 140 (69.3%) were benign. The two radiologists presented good agreement in O-RADS MRI classification of ovarian adnexal masses (Kappa=0.932). The malignancy rates of masses with scores of 1, 2, 3, 4 and 5 were 0%, 0%, 7.7%, 95%, 97.6%, respectively. Sensitivity, specificity, accuracy, and the area under the receiver operating characteristic curve were 96.8% (60/62), 98.6% (138/140), 98.0% (198/202), 0.977.ConclusionsO-RADS MRI yields high diagnostic efficiency for benign and malignant ovarian adnexal masses and its widespread implementation will improve communication between radiologists and clinicians, and facilitate optimal patient management. Therefore, O-RADS MRI warrants widespread use in clinical setting.
10.Eligibility of C-BIOPRED severe asthma cohort for type-2 biologic therapies.
Zhenan DENG ; Meiling JIN ; Changxing OU ; Wei JIANG ; Jianping ZHAO ; Xiaoxia LIU ; Shenghua SUN ; Huaping TANG ; Bei HE ; Shaoxi CAI ; Ping CHEN ; Penghui WU ; Yujing LIU ; Jian KANG ; Yunhui ZHANG ; Mao HUANG ; Jinfu XU ; Kewu HUANG ; Qiang LI ; Xiangyan ZHANG ; Xiuhua FU ; Changzheng WANG ; Huahao SHEN ; Lei ZHU ; Guochao SHI ; Zhongmin QIU ; Zhongguang WEN ; Xiaoyang WEI ; Wei GU ; Chunhua WEI ; Guangfa WANG ; Ping CHEN ; Lixin XIE ; Jiangtao LIN ; Yuling TANG ; Zhihai HAN ; Kian Fan CHUNG ; Qingling ZHANG ; Nanshan ZHONG
Chinese Medical Journal 2023;136(2):230-232

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