1.Rapid Screening of 34 Emerging Contaminants in Surface Water by UHPLC-Q-TOF-MS
Chen-Shan LÜ ; Yi-Xuan CAO ; Xiao-Xi MU ; Hai-Yan CUI ; Tao WANG ; Zhi-Wen WEI ; Ke-Ming YUN ; Meng HU
Journal of Forensic Medicine 2024;40(1):30-36
Objective To establish a rapid screening method for 34 emerging contaminants in surface water by ultra-high performance liquid chromatography-quadrupole-time of flight mass spectrometry(UHPLC-Q-TOF-MS).Methods The pretreatment conditions of solid phase extraction(SPE)were op-timized by orthogonal experimental design and the surface water samples were concentrated and ex-tracted by Oasis? HLB and Oasis? MCX SPE columns in series.The extracts were separated by Kine-tex? EVO C18 column,with gradient elution of 0.1%formic acid aqueous solution and 0.1%formic acid methanol solution.Q-TOF-MS'fullscan'and'targeted MS/MS'modes were used to detect 34 emerging contaminants and to establish a database with 34 emerging contaminants precursor ion,prod-uct ion and retention times.Results The 34 emerging contaminants exhibited good linearity in the con-centration range respectively and the correlation coefficients(r)were higher than 0.97.The limit of de-tection was 0.2-10 ng/L and the recoveries were 81.2%-119.2%.The intra-day precision was 0.78%-18.70%.The method was applied to analyze multiple surface water samples and 6 emerging contaminants were detected,with a concentration range of 1.93-157.71 ng/L.Conclusion The method is simple and rapid for screening various emerging contaminants at the trace level in surface water.
2.Epidemiological investigation of the first psittacosis death case in Hangzhou City,China
Zhe WANG ; Zhou SUN ; Shuang FENG ; Ming-Yong TAO ; Xin-Ye JIN ; Yi WANG ; Liu-Wen YANG
Chinese Journal of Zoonoses 2024;40(1):90-94
This study was aimed at performing epidemiologic investigation of the first psittacosis death case in Hangzhou City,to provide a reference for the investigation and disposal of psittacosis cases,as well as prevention and control.Epidemio-logic data were collected through field epidemiologic investigation,and close contacts and environmental samples were collected for pathogenicity testing.The first symptom in the patient was cough,which did not raise concerns at the time.Several days later,the patient developed abdominal distension and black stools,and visited two medical institutions for treatment and hospi-talization.The patient's sputum and peripheral blood were tested for Chlamydia psittaci infection by metagenomic analysis via next-generation sequencing.Samples collected from the patient's family members,close contacts,and home environment test-ed negative with real-time quantitative polymerase chain reaction.The patient later died of gastrointestinal bleeding.This article is the first report of a case of psittacosis contracted from exposure to a sick parrot in Hangzhou City,in a patient who died be-cause of an underlying disease.Operational training should be provided for medical personnel,and early diagnosis with mNGS and treatment of patients with underlying diseases should be performed as early as possible to avoid fatality.In addition,health education should be carried out to raise public awareness of the disease.
3.Research Path and Paradigm of Digitization and Intelligentization of Ancient TCM Books Based on the Deep Integration of Knowledge Element Theory and Clinical Needs
Feng YANG ; Yi ZHANG ; Xiaohua TAO ; Jianfeng LI ; Tao LUO ; Jingling CHANG ; Jian CHEN ; Liyun CHEN ; Ming DAI ; Fenglan WANG ; Xiang LU
Journal of Traditional Chinese Medicine 2024;65(12):1201-1207
With the rapid development of information technology, research on ancient TCM books has shifted from the traditional collation and digitization into intelligent knowledge service, thereby achieving the deep integration of ancient TCM books collation and clinical needs. Based on the clinical problem and knowledge element theory, we implemented in-depth indexing and knowledge mining for 600 kinds of ancient TCM books, built a knowledge sharing service platform for ancient TCM books by integrating database, cloud platform, knowledge graph and other technologies, and carried out the thematic literature research and developed databases for four major diseases including stroke, heart failure, liver cirrhosis, and diabetes. The digital intelligence products have been applied in hundreds of hospitals for evaluation and feedback. Finally, through "digital processing plus intelligent application", the two-way interaction between ancient TCM books and current clinical practice is realized, and the path and paradigm of ancient TCM books knowledge serving the modern prevention and control of major diseases is formed, providing reference for the innovative utilization of ancient TCM books.
4.Key issues in the study of drug nanocrystals self-stabilized Pickering emulsions as drug delivery system
Ji-fen ZHANG ; Fang-ming DONG ; Chuan LIU ; Tao YI
Acta Pharmaceutica Sinica 2024;59(6):1582-1592
Drug nanocrystals self-stabilized Pickering emulsion (DNSPE) is a novel Pickering emulsion with drug nanocrystals as the stabilizer. There are more and more researches on DNSPE in the field of drug delivery in recent years. On the basis of summarizing the research status of DNSPE used as drug delivery systems, this paper comprehensively reviewed the research progress of three key issues, such as the main factors affecting construction of DNSPE, characterization methods of properties and structures, and
5.Clinical trial of brexpiprazole in the treatment of adults with acute schizophrenia
Shu-Zhe ZHOU ; Liang LI ; Dong YANG ; Jin-Guo ZHAI ; Tao JIANG ; Yu-Zhong SHI ; Bin WU ; Xiang-Ping WU ; Ke-Qing LI ; Tie-Bang LIU ; Jie LI ; Shi-You TANG ; Li-Li WANG ; Xue-Yi WANG ; Yun-Long TAN ; Qi LIU ; Uki MOTOMICHI ; Ming-Ji XIAN ; Hong-Yan ZHANG
The Chinese Journal of Clinical Pharmacology 2024;40(5):654-658
Objective To evaluate the efficacy and safety of brexpiprazole in treating acute schizophrenia.Methods Patients with schizophrenia were randomly divided into treatment group and control group.The treatment group was given brexpiprozole 2-4 mg·d-1 orally and the control group was given aripiprazole 10-20 mg·d-1orally,both were treated for 6 weeks.Clinical efficacy of the two groups,the response rate at endpoint,the changes from baseline to endpoint of Positive and Negative Syndrome Scale(PANSS),Clinical Global Impression-Improvement(CGI-S),Personal and Social Performance scale(PSP),PANSS Positive syndrome subscale,PANSS negative syndrome subscale were compared.The incidence of treatment-related adverse events in two groups were compared.Results There were 184 patients in treatment group and 186 patients in control group.After treatment,the response rates of treatment group and control group were 79.50%(140 cases/184 cases)and 82.40%(150 cases/186 cases),the scores of CGI-I of treatment group and control group were(2.00±1.20)and(1.90±1.01),with no significant difference(all P>0.05).From baseline to Week 6,the mean change of PANSS total score wese(-30.70±16.96)points in treatment group and(-32.20±17.00)points in control group,with no significant difference(P>0.05).The changes of CGI-S scores in treatment group and control group were(-2.00±1.27)and(-1.90±1.22)points,PSP scores were(18.80±14.77)and(19.20±14.55)points,PANSS positive syndrome scores were(-10.30±5.93)and(-10.80±5.81)points,PANSS negative syndrome scores were(-6.80±5.98)and(-7.30±5.15)points,with no significant difference(P>0.05).There was no significant difference in the incidence of treatment-related adverse events between the two group(69.00%vs.64.50%,P>0.05).Conclusion The non-inferiority of Brexpiprazole to aripiprazole was established,with comparable efficacy and acceptability.
6.Analysis of the efficacy of high tibial osteotomy combined with medial meniscus centralization in knee osteoarthritis
Li-Ming ZHU ; Jie GUAN ; Yi-Min CHEN ; Hai-Tao MA ; Jia-Kuan YE
China Journal of Orthopaedics and Traumatology 2024;37(2):173-178
Objective To explore the efficacy of high tibial osteotomy(HTO)combined with medial meniscus centraliza-tion in knee osteoarthritis.Methods A total of 26 patients who underwent surgery from October 2018 to October 2020 were re-viewed.Among them,14 patients underwent high tibial osteotomy combined with arthroscopic meniscus centralization surgery were centralized group,including 8 males and 6 females,with an average age of(50.2±1.4)years old and follow-up time of(16.8±4.0)months.Twelve patients with high tibial osteotomy were in the control group,including 6 males and 6 females,with an average age of(50.9±1.8)years and follow-up time of(19.0±4.8)months.Operation time,the knee Lysholm score,knee 2000 IKDC score,MRI,femoral tibial angle(FTA),hip knee ankle angle(HKA),and intraoperative and postoperative compli-cations were recorded.Results All the incisions healed without any complication.The operation time in the centralized group was longer than that in the control group[(65.0±2.1)min vs(52.0±2.1)min,P<0.05].The medial meniscus extrusion reduction value in the centralized group was significantly reduced compared with the control group[(2.8±1.4)mm vs(1.1±2.2)mm,P<0.05].The FTA,HKA,knee Lyshlom score,and 2000 IKDC score between two groups were no significantly(P>0.05).Postop-erative knee Lyshlom score and knee 2000 IKDC score improved in both groups(P<0.05).Conclusion HTO combined with centralization of medial meniscus can improve the reduction of medial meniscus and improve knee function.The medium and long-term curative effect still needs long-term follow-up of more cases.
7.Arthroscopic surgery for injuries to the popliteal tendon area of the lateral meniscus
Ming-Tao ZHANG ; Zhi-Tao YANG ; Tao LIU ; Bo-Rong ZHANG ; Xiao-Yi TAN ; Jin JIANG ; Li-Ping AN ; Xiang-Dong YUN
China Journal of Orthopaedics and Traumatology 2024;37(7):713-717
Objective To investigate the mid-term effect and complications of arthroscopic popliteal tendon suture in the treatment of lateral meniscus injury.Methods From January 2016 to December 2020,the data of 57 patients with lateral meniscus popliteal tendon injury treated by arthroscopic popliteal tendon suture fixation were retrospectively analyzed,includ-ing 35 males and 22 females,aged from 18 to 47 years old with an average of(32.9±7.9)years old.Knee function was evaluat-ed using the International Knee Documentation Committee(IKDC)and Lysholm scores both before the operation and at the fi-nal follow-up.Meniscus healing was evaluated according to the postoperative Barrett standard.Wound healing complications,such as vascular injury,nerve injury,and lower extremity venous thrombosis,were recorded.Results All 57 patients were fol-lowed up for 12 to 58 months with an average of(38.1±14.9)months.The incisions of the patients after the operation were all Grade A healing without infection,popliteal tendon injury,blood vessel injury,nerve injury and lower extremity venous throm-bosis.The IKDC score increased from(49.7±3.6)points preoperatively to(88.5±4.4)points in the final follow-up(P<0.05).The Lysholm score increased from(48.8±4.9)points preoperatively to(91.9±3.9)points at the final follow-up(P<0.05).At 3,6 months and 1 year after operation,according to Barrett's criteria,54 cases were clinically healed,the healing rate was 94.7%(54/57).Conclusion This study preliminarily confirmed that arthroscopic suture technique can result in clinical sta-bility through suture and fixation of the meniscus in the injured lateral popliteal tendon area.No adverse effects on knee joint function were found in the mid-term follow-up after the operation.
8.Effects of astragalus angelica on apoptosis and expression of Bax and caspase-3/9 in rabbit chondrocytes after fresh osteochondral allograft
Wan-Tao DONG ; Pan YANG ; Xiu-Juan YANG ; Shi-Ming QIU ; Peng YUAN ; Jing-Yi LIU ; Jiu-Mei HUANG ; Yu ZHOU
Chinese Pharmacological Bulletin 2024;40(12):2288-2294
Aim To observe the effect of Astragalus membranaceus and Angelica sinensis on the apoptosis of chondrocytes,and to investigate the effect of Astrag-alus membranaceus and Angelica sinensis on the sur-vival of fresh ostecartilage allograft.Methods Forty-eight 4-month-old New Zealand white rabbits,half male and half female,were randomly divided into sham operation group,model group,positive group and As-tragalus and Angelica 5∶1 group.In addition to the sham operation group,the other groups were both male and female donors and recipients for knee joint osteo-cartilage cross transplantation modeling.After 8 weeks of drug intervention,samples were taken for general observation,HE staining,saffrane-O staining,immu-nohistochemical staining,qPCR and Western blot de-tection.Results Compared with model group,As-tragalus and Angelica 5∶1 group and positive group,the repair site healed better,the morphology of osteo-chondrocytes tended to be normal,and the division and proliferation were obvious.Proteoglycan deposition in-creased and type Ⅱ collagen content was higher,the differences were statistically significant(P<0.05).qPCR and Western blot results showed that compared with model group,the mRNA and protein expressions of Bax,caspase-3 and caspase-9 in other groups were significantly decreased(P<0.05).Conclusion As-tragalus and Angelica can promote the survival of fresh osteochondral allograft,and its mechanism may be re-lated to promoting collagen production,promoting chondrocyte proliferation and inhibiting chondrocyte apoptosis.
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.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.

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