1.An excerpt of EASL clinical practice guidelines on the management of hepatocellular carcinoma(2024 edition)
Journal of Clinical Hepatology 2025;41(2):234-239
Liver cancer is the third leading cause of cancer-related deaths worldwide, among which hepatocellular carcinoma (HCC) accounts for approximately 90% in primary liver cancer. The advances in diagnostic and treatment tools, along with a deeper understanding of their application, are transforming the treatment modality for patients. The application of these innovations in clinical practice faces challenges and requires guidance, and related clinical practice guidelines provide the latest recommendations for the management of HCC patients and conduct a comprehensive review of related data. In the 2024 EASL guidelines, a multidisciplinary team from multiple specialties conducts a multi-parameter assessment of individual risks and benefits from the perspective of patients.
2.Utility of the China-PAR Score in predicting secondary events among patients undergoing percutaneous coronary intervention.
Jianxin LI ; Xueyan ZHAO ; Jingjing XU ; Pei ZHU ; Ying SONG ; Yan CHEN ; Lin JIANG ; Lijian GAO ; Lei SONG ; Yuejin YANG ; Runlin GAO ; Xiangfeng LU ; Jinqing YUAN
Chinese Medical Journal 2025;138(5):598-600
3.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.
4.Construction and verification of a nomogram model for postoperative pulmonary embolism in patients with spontaneous cerebral hemorrhage
Xun LIN ; Xiaochuan SUN ; Quanhong SHI ; Wei DAN ; Yan ZHAN ; Jianxin ZHOU ; Yulong XIA ; Yanfeng XIE ; Li JIANG
Journal of Army Medical University 2024;46(11):1270-1276
Objective To investigate the risk factors for postoperative pulmonary embolism in patients with spontaneous cerebral hemorrhage,and construct and verify the nomogram model.Methods A retrospective cohort study was conducted on 558 patients admitted in the First Affiliated Hospital of Chongqing Medical University and the Three Gorges Hospital Affiliated to Chongqing University.And 393 of them who hospitalized from January 2015 to January 2021 were assigned into a modeling group,and the other 165 patients from February 2021 to January 2023 into a validation group.Univariate and multivariate stepwise logistic regression analyses were used to screen out the risk factors associated with pulmonary embolism after spontaneous cerebral hemorrhage surgery.Then a nomogram model was build based on these factors and verified.Results Based on age,blood loss,Glasgow coma scale(GCS)score,surgical treatments,levels of fibrin degradation products,D-dimer and hemoglobin,plasma osmolality,and deep vein thrombosis,a risk model of pulmonary embolism was built.Receiver operating characteristic(ROC)curve analysis showed the model had good discriminability for the presence of pulmonary embolism,and the area under the curve(AUC)value was 0.908.Hosmer-Lemeshow goodness-fit test indicated that the model had a good fit to the verification set(Chi-square=14.805,df=8,P=0.063),the correction curve was close to the ideal curve,and the prediction probability of the model was close to the actual occurrence probability,suggesting the model having good accuracy.Decision curve analysis revealed that the established nomogram model can get benefits under a large range of threshold probabilities.Conclusion We develop a prediction model for postoperative pulmonary embolism in patients with spontaneous cerebral hemorrhage after surgical treatment,which shows good prediction performance in both the training and validation groups,and can be used for accurate,prompt and quick identification for the occurrence of pulmonary embolism in clinical practice.
5. Effects of remimazolam on early postoperative cognitive function in elderly patients with hip fracture
Gongchen DUAN ; Jimin WU ; Qiaomin XU ; Jianxin JIANG ; Haiyan LAN ; Xutong ZHANG ; Kaiming YUAN ; Jun LI
Chinese Journal of Clinical Pharmacology and Therapeutics 2024;29(2):146-153
AIM: To evaluate the effect of remimazolam on early postoperative cognitive function in elderly patients with hip fracture based on a randomized controlled trial. METHODS: A total of 106 elderly patients, aged 65-90 years, ASA grade Ⅱ or III, who underwent hip fracture surgery under combined spinal-epidural anesthesia in the Sixth Affiliated Hospital of Wenzhou Medical University from December 2022 to June 2023 and met the inclusion criteria, were selected and randomized into remimazolam group (group R) and propofol group (group P) according to the random number table, with 53 cases in each group. Patients in group P received a slow intravenous injection of propofol at a dose of 0.3-0.5 mg / kg (injection time of 1min), followed by a pump infusion at 0.5-3 mg · kg
6.Development Status and Quality Evaluation on Clinical Practice Guidelines for the Treatment of Dominant Diseases with Chinese Patent Medicines
Jiang YANG ; Hulei ZHAO ; Yaolong CHEN ; Jianxin WANG ; Yang XIE ; Suyun LI ; Jiansheng LI ; Minghang WANG
Journal of Traditional Chinese Medicine 2024;65(6):636-644
ObjectiveTo analyze the development status and quality of clinical practice guidelines for the treatment of dominant diseases with Chinese patent medicines (CPMs). MethodsDatabases were searched from Jan. 2019 to Dec.2023 to collect the published clinical practice guidelines of CPMs for the treatment of dominant diseases. The information about the title, the participants, clinical problems, outcomes, evidence grade, recommendations, and recommendation strength in the included clinical practice guidelines were collected, for which the development status was analyzed, and the quality was evaluated with the Scientific, Transparent and Applicable Rankings (STAR) tool for clinical practice guidelines. ResultsTotally, 34 guidelines were included, involving 273 kinds of CPMs. One to ten (with the medium five) clinical problems were proposed from 29 clinical practice guidelines respectively. All the guidelines divided the evidence into four grades according to Grade of Recommendation Assessment, Deve-lopement an Evaluation. And 28 guidelines had five levels of recommendation strength. A total of 344 recommendations were extracted, including 86 strong-recommendations, 191 weak-recommendations (including 36 weak recommendations only based on expert consensus) and 67 recommendations with unclear recommendation strength. All guidelines had high scores in the three areas of “clinical questions (94.20%)”, “evidence (91.45%)” and “recommendations (89.06%)”, while the scores in the three areas of “registry (22.06%)”, “protocol (19.00%)” and “accessibility (31.51%)” were low. The STAR recommended stars of 8 guidelines were 5.0~4.0 stars, while that of 18 guidelines were 3.5~2.5 stars, and 8 guidelines were 2.0~1.0 stars. The three guidelines with the highest recommended stars were depressive disorder, community-acquired pneumonia, and influenza in adult. ConclusionThere is a certain gap in the quality of the published clinical practice guidelines of CPMs, and the quality of the guidelines could be further improved in registry, protocols, funds, and accessibility.
7.Treatment status of tyrosine kinase inhibitor for newly-diagnosed chronic myeloid leukemia: a domestic multi-centre retrospective real-world study
Xiaoshuai ZHANG ; Bingcheng LIU ; Xin DU ; Yanli ZHANG ; Na XU ; Xiaoli LIU ; Weiming LI ; Hai LIN ; Rong LIANG ; Chunyan CHEN ; Jian HUANG ; Yunfan YANG ; Huanling ZHU ; Ling PAN ; Xiaodong WANG ; Guohui LI ; Zhuogang LIU ; Yanqing ZHANG ; Zhenfang LIU ; Jianda HU ; Chunshui LIU ; Fei LI ; Wei YANG ; Li MENG ; Yanqiu HAN ; Li'e LIN ; Zhenyu ZHAO ; Chuanqing TU ; Caifeng ZHENG ; Yanliang BAI ; Zeping ZHOU ; Suning CHEN ; Huiying QIU ; Lijie YANG ; Xiuli SUN ; Hui SUN ; Li ZHOU ; Zelin LIU ; Danyu WANG ; Jianxin GUO ; Liping PANG ; Qingshu ZENG ; Xiaohui SUO ; Weihua ZHANG ; Yuanjun ZHENG ; Qian JIANG
Chinese Journal of Hematology 2024;45(3):215-224
Objective:To retrospectively analyze the treatment status of tyrosine kinase inhibitors (TKI) in newly diagnosed patients with chronic myeloid leukemia (CML) in China.Methods:Data of chronic phase (CP) and accelerated phase (AP) CML patients diagnosed from January 2006 to December 2022 from 77 centers, ≥18 years old, and receiving initial imatinib, nilotinib, dasatinib or flumatinib-therapy within 6 months after diagnosis in China with complete data were retrospectively interrogated. The choice of initial TKI, current TKI medications, treatment switch and reasons, treatment responses and outcomes as well as the variables associated with them were analyzed.Results:6 893 patients in CP ( n=6 453, 93.6%) or AP ( n=440, 6.4%) receiving initial imatinib ( n=4 906, 71.2%), nilotinib ( n=1 157, 16.8%), dasatinib ( n=298, 4.3%) or flumatinib ( n=532, 7.2%) -therapy. With the median follow-up of 43 ( IQR 22-75) months, 1 581 (22.9%) patients switched TKI due to resistance ( n=1 055, 15.3%), intolerance ( n=248, 3.6%), pursuit of better efficacy ( n=168, 2.4%), economic or other reasons ( n=110, 1.6%). The frequency of switching TKI in AP patients was significantly-higher than that in CP patients (44.1% vs 21.5%, P<0.001), and more AP patients switched TKI due to resistance than CP patients (75.3% vs 66.1%, P=0.011). Multi-variable analyses showed that male, lower HGB concentration and ELTS intermediate/high-risk cohort were associated with lower cytogenetic and molecular responses rate and poor outcomes in CP patients; higher WBC count and initial the second-generation TKI treatment, the higher response rates; Ph + ACA at diagnosis, poor PFS. However, Sokal intermediate/high-risk cohort was only significantly-associated with lower CCyR and MMR rates and the poor PFS. Lower HGB concentration and larger spleen size were significantly-associated with the lower cytogenetic and molecular response rates in AP patients; initial the second-generation TKI treatment, the higher treatment response rates; lower PLT count, higher blasts and Ph + ACA, poorer TFS; Ph + ACA, poorer OS. Conclusion:At present, the vast majority of newly-diagnosed CML-CP or AP patients could benefit from TKI treatment in the long term with the good treatment responses and survival outcomes.
8.Erratum: Author correction to 'Herbal formula BaWeiBaiDuSan alleviates polymicrobial sepsis-induced liver injury via increasing the gut microbiota Lactobacillus johnsonii and regulating macrophage anti-inflammatory activity in mice' Acta Pharmaceutica Sinica B 13 (2023) 1164-1179.
Xiaoqing FAN ; Chutian MAI ; Ling ZUO ; Jumin HUANG ; Chun XIE ; Zebo JIANG ; Runze LI ; Xiaojun YAO ; Xingxing FAN ; Qibiao WU ; Peiyu YAN ; Liang LIU ; Jianxin CHEN ; Ying XIE ; Elaine LAI-HAN LEUNG
Acta Pharmaceutica Sinica B 2023;13(8):3575-3576
[This corrects the article DOI: 10.1016/j.apsb.2022.10.016.].
9.The role of Huaiqihuang Granules in the long-term management of bronchial asthma in young children: a multicenter real-world study
Huimin WANG ; Jinghui MU ; Chuanhe LIU ; Changshan LIU ; Ying WANG ; Zhiying HAN ; Xin SUN ; Xing CHEN ; Shuhua AN ; Dolikon MUZAPAR ; Aiping LU ; Min WANG ; Yan CHENG ; Xiaomei YIN ; Hanmin LIU ; Hong WANG ; Shan HUA ; Li DONG ; Ying HUANG ; Yi JIANG ; Jianxin XIONG ; Shenggang DING ; Wei WANG ; Shunying ZHAO ; Yuzhi CHEN
Chinese Journal of Applied Clinical Pediatrics 2023;38(4):286-290
Objective:To observe the role of Huaiqihuang Granules (HQ) in the long-term management of bronchial asthma in young children, and the effective effect on concomitant rhinitis.Methods:A prospective real-world multicenter study was conducted in children aged 2-5 years with asthma diagnosed in the outpatient department (from April 2016 to March 2019)who received either inhaled corticosteroid (ICS)/leukotriene receptor antagonist (LTRA)(control group); inhaled ICS/LTRA plus HQ(combination group), or HQ alone(HQ group). All patients were followed up at week 4, 8, 12 after treatment. The number of days with asthma symptoms, the frequency of severe asthma attacks, the level of asthma control, and the days with rhinitis symptoms in the last 4 weeks were recorded. Differences before and after treatment, and those among groups after treatment were compared using Kruskal- Wallis H test or Wilcoxon rank-sum test. Results:A total of 2 234 eligible patients were recruited, and 2 147 cases completed followed-up visits, including 477, 1 374 and 296 cases in the control group, combination group, and HQ group, respectively. After the treatment, all 3 groups showed significant declines in the days with asthma symptoms, frequency of severe asthma attack and the days with rhinitis symptoms (all P<0.01), and the rate of well-controlled asthma increased significantly ( P<0.01). It lasted until the end of follow-up. Among groups, patients in the combination group showed significantly less days of asthma symptoms than those of the other 2 group at week 8 and 12[0(0, 0.9) d vs.0(0, 0.3) d, P<0.05; 0(0, 0.1) d vs. 0(0, 1.0) d, P<0.01]. Patients in the combination group and HQ group showed a significantly lower rate of severe asthma attacks than that of the control group at week 12 [0(0, 1), 0(0, 1), 0(0, 2), all P<0.05]. The well-controlled rate of asthma in the combination group was significantly higher than that of the control group and HQ group at week 8 and 12 (89.6% vs. 85.9% vs.82.1%, H=15.28; 90.9% vs. 84.1% vs. 81.8%, χ2=29.32, all P<0.01). Conclusions:HQ can significantly alleviate symptoms of asthma and rhinitis, severe attack of asthma, and increase the control rate of asthma when used as an additional treatment or used alone.
10.Predictive value of multi-parameter model incorporating PET-based radiomics features for survival of older patients(≥60 years) with diffuse large B-cell lymphoma
Chong JIANG ; Yue TENG ; Ang LI ; Jianxin CHEN ; Jingyan XU
Chinese Journal of Nuclear Medicine and Molecular Imaging 2023;43(5):257-262
Objective:To explore the prognostic value of 18F-FDG PET-based radiomics features by machine learning in older patients(≥60 years) with diffuse large B-cell lymphoma (DLBCL). Methods:A total of 166 older patients (88 males, 78 females, age: 60-93 years) with DLBCL who underwent pre-therapy 18F-FDG PET/CT from March 2011 to November 2019 were enrolled in the retrospective study. There were 115 patients in training cohort and 51 patients in validation cohort. The lesions in PET images were manually drawn and the obtained radiomics features from patients in training cohort were selected by the least absolute shrinkage and selection operator (LASSO), random forest (RF), and extreme gradient boosting (Xgboost), and then classified by support vector machine (SVM) to build radiomics signatures (RS) for predicting overall survival (OS). A multi-parameter model was constructed by using Cox proportional hazard model and assessed by concordance index (C-index). Results:A total of 1 421 PET radiomics features were extracted and 10 features were selected to build RS. The univariate Cox regression analysis showed that RS was a predictor of OS (hazard ratio ( HR)=5.685, 95% CI: 2.955-10.939; P<0.001). The multi-parameter model that incorporated RS, metabolic metrics, and clinical risk factors, exhibited significant prognostic superiority over the clinical model, PET-based model, and the National Comprehensive Cancer Network International Prognostic Index (NCCN-IPI) in terms of OS (training cohort: C-index: 0.752 vs 0.737 vs 0.739 vs 0.688; validation cohort: C-index: 0.845 vs 0.798 vs 0.844 vs 0.775). Conclusions:RS can be used as a survival predictor for older patients(≥60 years) with DLBCL. Furthermore, the multi-parameter model incorporating RS is able to successfully predict prognosis.

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