1.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.
2.Machine and deep learning-based clinical characteristics and laboratory markers for the prediction of sarcopenia.
He ZHANG ; Mengting YIN ; Qianhui LIU ; Fei DING ; Lisha HOU ; Yiping DENG ; Tao CUI ; Yixian HAN ; Weiguang PANG ; Wenbin YE ; Jirong YUE ; Yong HE
Chinese Medical Journal 2023;136(8):967-973
BACKGROUND:
Sarcopenia is an age-related progressive skeletal muscle disorder involving the loss of muscle mass or strength and physiological function. Efficient and precise AI algorithms may play a significant role in the diagnosis of sarcopenia. In this study, we aimed to develop a machine learning model for sarcopenia diagnosis using clinical characteristics and laboratory indicators of aging cohorts.
METHODS:
We developed models of sarcopenia using the baseline data from the West China Health and Aging Trend (WCHAT) study. For external validation, we used the Xiamen Aging Trend (XMAT) cohort. We compared the support vector machine (SVM), random forest (RF), eXtreme Gradient Boosting (XGB), and Wide and Deep (W&D) models. The area under the receiver operating curve (AUC) and accuracy (ACC) were used to evaluate the diagnostic efficiency of the models.
RESULTS:
The WCHAT cohort, which included a total of 4057 participants for the training and testing datasets, and the XMAT cohort, which consisted of 553 participants for the external validation dataset, were enrolled in this study. Among the four models, W&D had the best performance (AUC = 0.916 ± 0.006, ACC = 0.882 ± 0.006), followed by SVM (AUC =0.907 ± 0.004, ACC = 0.877 ± 0.006), XGB (AUC = 0.877 ± 0.005, ACC = 0.868 ± 0.005), and RF (AUC = 0.843 ± 0.031, ACC = 0.836 ± 0.024) in the training dataset. Meanwhile, in the testing dataset, the diagnostic efficiency of the models from large to small was W&D (AUC = 0.881, ACC = 0.862), XGB (AUC = 0.858, ACC = 0.861), RF (AUC = 0.843, ACC = 0.836), and SVM (AUC = 0.829, ACC = 0.857). In the external validation dataset, the performance of W&D (AUC = 0.970, ACC = 0.911) was the best among the four models, followed by RF (AUC = 0.830, ACC = 0.769), SVM (AUC = 0.766, ACC = 0.738), and XGB (AUC = 0.722, ACC = 0.749).
CONCLUSIONS:
The W&D model not only had excellent diagnostic performance for sarcopenia but also showed good economic efficiency and timeliness. It could be widely used in primary health care institutions or developing areas with an aging population.
TRIAL REGISTRATION
Chictr.org, ChiCTR 1800018895.
Humans
;
Aged
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Sarcopenia/diagnosis*
;
Deep Learning
;
Aging
;
Algorithms
;
Biomarkers
3.The efficacy of chemotherapy re-challenge in third-line setting for metastatic colorectal cancer patients: a real-world study.
Jing Jing DUAN ; Tao NING ; Ming BAI ; Le ZHANG ; Hong Li LI ; Rui LIU ; Shao Hua GE ; Xia WANG ; Yu Chong YANG ; Zhi JI ; Fei Xue WANG ; Yan Sha SUN ; Yi BA ; Ting DENG
Chinese Journal of Oncology 2023;45(11):967-972
Objective: To explore the efficacy of chemotherapy re-challenge in the third-line setting for patients with metastatic colorectal cancer (mCRC) in the real world. Methods: The clinicopathological data, treatment information, recent treatment efficacy, adverse events and survival data of mCRC patients who had disease progression after treatment with oxaliplatin-based and/or irinotecan-based chemotherapy and received third-line chemotherapy re-challenge from January 2013 to December 2020 at Tianjin Medical University Cancer Institute and Hospital were retrospectively collected. Survival curves were plotted with the Kaplan-Meier method, and the Cox proportional hazard model was used to analyze the prognostic factors. Results: A total of 95 mCRC patients were included. Among them, 32 patients (33.7%) received chemotherapy alone and 63 patients (66.3%) received chemotherapy combined with targeted drugs. Eighty-three patients were treated with dual-drug chemotherapy (87.4%), including oxaliplatin re-challenge in 35 patients and irinotecan re-challenge in 48 patients. The remaining 12 patients were treated with triplet chemotherapy regimens (12.6%). Among them, as 5 patients had sequential application of oxaliplatin and irinotecan in front-line treatments, their third-line therapy re-challenged both oxaliplatin and irinotecan; 7 patients only had oxaliplatin prescription before, and these patients re-challenged oxaliplatin in the third-line treatment. The overall response rate (ORR) and disease control rate (DCR) reached 8.6% (8/93) and 61.3% (57/93), respectively. The median progression free survival (mPFS) and median overall survival (mOS) were 4.9 months and 13.0 months, respectively. The most common adverse events were leukopenia (34.7%) and neutropenia (34.7%), followed by gastrointestinal adverse reactions such as nausea (32.6%) and vomiting (31.6%). Grade 3-4 adverse events were mostly hematological toxicity. Cox multivariate analysis showed that gender (HR=1.609, 95% CI: 1.016-2.548) and the PFS of front-line treatments (HR=0.598, 95% CI: 0.378-0.947) were independent prognostic factors. Conclusion: The results suggested that it is safe and effective for mCRC patients to choose third-line chemotherapy re-challenge, especially for patients with a PFS of more than one year in front-line treatments.
Humans
;
Irinotecan/therapeutic use*
;
Oxaliplatin/therapeutic use*
;
Colorectal Neoplasms/pathology*
;
Retrospective Studies
;
Fluorouracil
;
Colonic Neoplasms/chemically induced*
;
Rectal Neoplasms/drug therapy*
;
Antineoplastic Combined Chemotherapy Protocols/adverse effects*
;
Camptothecin/adverse effects*
4.The efficacy of chemotherapy re-challenge in third-line setting for metastatic colorectal cancer patients: a real-world study.
Jing Jing DUAN ; Tao NING ; Ming BAI ; Le ZHANG ; Hong Li LI ; Rui LIU ; Shao Hua GE ; Xia WANG ; Yu Chong YANG ; Zhi JI ; Fei Xue WANG ; Yan Sha SUN ; Yi BA ; Ting DENG
Chinese Journal of Oncology 2023;45(11):967-972
Objective: To explore the efficacy of chemotherapy re-challenge in the third-line setting for patients with metastatic colorectal cancer (mCRC) in the real world. Methods: The clinicopathological data, treatment information, recent treatment efficacy, adverse events and survival data of mCRC patients who had disease progression after treatment with oxaliplatin-based and/or irinotecan-based chemotherapy and received third-line chemotherapy re-challenge from January 2013 to December 2020 at Tianjin Medical University Cancer Institute and Hospital were retrospectively collected. Survival curves were plotted with the Kaplan-Meier method, and the Cox proportional hazard model was used to analyze the prognostic factors. Results: A total of 95 mCRC patients were included. Among them, 32 patients (33.7%) received chemotherapy alone and 63 patients (66.3%) received chemotherapy combined with targeted drugs. Eighty-three patients were treated with dual-drug chemotherapy (87.4%), including oxaliplatin re-challenge in 35 patients and irinotecan re-challenge in 48 patients. The remaining 12 patients were treated with triplet chemotherapy regimens (12.6%). Among them, as 5 patients had sequential application of oxaliplatin and irinotecan in front-line treatments, their third-line therapy re-challenged both oxaliplatin and irinotecan; 7 patients only had oxaliplatin prescription before, and these patients re-challenged oxaliplatin in the third-line treatment. The overall response rate (ORR) and disease control rate (DCR) reached 8.6% (8/93) and 61.3% (57/93), respectively. The median progression free survival (mPFS) and median overall survival (mOS) were 4.9 months and 13.0 months, respectively. The most common adverse events were leukopenia (34.7%) and neutropenia (34.7%), followed by gastrointestinal adverse reactions such as nausea (32.6%) and vomiting (31.6%). Grade 3-4 adverse events were mostly hematological toxicity. Cox multivariate analysis showed that gender (HR=1.609, 95% CI: 1.016-2.548) and the PFS of front-line treatments (HR=0.598, 95% CI: 0.378-0.947) were independent prognostic factors. Conclusion: The results suggested that it is safe and effective for mCRC patients to choose third-line chemotherapy re-challenge, especially for patients with a PFS of more than one year in front-line treatments.
Humans
;
Irinotecan/therapeutic use*
;
Oxaliplatin/therapeutic use*
;
Colorectal Neoplasms/pathology*
;
Retrospective Studies
;
Fluorouracil
;
Colonic Neoplasms/chemically induced*
;
Rectal Neoplasms/drug therapy*
;
Antineoplastic Combined Chemotherapy Protocols/adverse effects*
;
Camptothecin/adverse effects*
5.Genomic Epidemiology of Imported Cases of COVID-19 in Guangdong Province, China, October 2020 - May 2021.
Dan LIANG ; Tao WANG ; Jiao Jiao LI ; Da Wei GUAN ; Guan Ting ZHANG ; Yu Feng LIANG ; An An LI ; Wen Shan HONG ; Li WANG ; Meng Lin CHEN ; Xiao Ling DENG ; Feng Juan CHEN ; Xing Fei PAN ; Hong Ling JIA ; Chun Liang LEI ; Chang Wen KE
Biomedical and Environmental Sciences 2022;35(5):393-401
Objective:
The pandemic of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been engendering enormous hazards to the world. We obtained the complete genome sequences of SARS-CoV-2 from imported cases admitted to the Guangzhou Eighth People's Hospital, which was appointed by the Guangdong provincial government to treat coronavirus disease 2019 (COVID-19). The SARS-CoV-2 diversity was analyzed, and the mutation characteristics, time, and regional trend of variant emergence were evaluated.
Methods:
In total, 177 throat swab samples were obtained from COVID-19 patients (from October 2020 to May 2021). High-throughput sequencing technology was used to detect the viral sequences of patients infected with SARS-CoV-2. Phylogenetic and molecular evolutionary analyses were used to evaluate the mutation characteristics and the time and regional trends of variants.
Results:
We observed that the imported cases mainly occurred after January 2021, peaking in May 2021, with the highest proportion observed from cases originating from the United States. The main lineages were found in Europe, Africa, and North America, and B.1.1.7 and B.1.351 were the two major sublineages. Sublineage B.1.618 was the Asian lineage (Indian) found in this study, and B.1.1.228 was not included in the lineage list of the Pangolin web. A reasonably high homology was observed among all samples. The total frequency of mutations showed that the open reading frame 1a (ORF1a) protein had the highest mutation density at the nucleotide level, and the D614G mutation in the spike protein was the commonest at the amino acid level. Most importantly, we identified some amino acid mutations in positions S, ORF7b, and ORF9b, and they have neither been reported on the Global Initiative of Sharing All Influenza Data nor published in PubMed among all missense mutations.
Conclusion
These results suggested the diversity of lineages and sublineages and the high homology at the amino acid level among imported cases infected with SARS-CoV-2 in Guangdong Province, China.
Amino Acids
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COVID-19/epidemiology*
;
Genomics
;
Humans
;
Mutation
;
Phylogeny
;
SARS-CoV-2/genetics*
6.Shanghai Autism Early Development: An Integrative Chinese ASD Cohort.
Yuan DAI ; Yuqi LIU ; Lingli ZHANG ; Tai REN ; Hui WANG ; Juehua YU ; Xin LIU ; Zilin CHEN ; Lin DENG ; Minyi TAO ; Hangyu TAN ; Chu-Chung HUANG ; Jiaying ZHANG ; Qiang LUO ; Jianfeng FENG ; Miao CAO ; Fei LI
Neuroscience Bulletin 2022;38(12):1603-1607
7.Inverted U-Shaped Associations between Glycemic Indices and Serum Uric Acid Levels in the General Chinese Population: Findings from the China Cardiometabolic Disease and Cancer Cohort (4C) Study.
Yuan Yue ZHU ; Rui Zhi ZHENG ; Gui Xia WANG ; Li CHEN ; Li Xin SHI ; Qing SU ; Min XU ; Yu XU ; Yu Hong CHEN ; Xue Feng YU ; Li YAN ; Tian Ge WANG ; Zhi Yun ZHAO ; Gui Jun QIN ; Qin WAN ; Gang CHEN ; Zheng Nan GAO ; Fei Xia SHEN ; Zuo Jie LUO ; Ying Fen QIN ; Ya Nan HUO ; Qiang LI ; Zhen YE ; Yin Fei ZHANG ; Chao LIU ; You Min WANG ; Sheng Li WU ; Tao YANG ; Hua Cong DENG ; Jia Jun ZHAO ; Lu Lu CHEN ; Yi Ming MU ; Xu Lei TANG ; Ru Ying HU ; Wei Qing WANG ; Guang NING ; Mian LI ; Jie Li LU ; Yu Fang BI
Biomedical and Environmental Sciences 2021;34(1):9-18
Objective:
The relationship between serum uric acid (SUA) levels and glycemic indices, including plasma glucose (FPG), 2-hour postload glucose (2h-PG), and glycated hemoglobin (HbA1c), remains inconclusive. We aimed to explore the associations between glycemic indices and SUA levels in the general Chinese population.
Methods:
The current study was a cross-sectional analysis using the first follow-up survey data from The China Cardiometabolic Disease and Cancer Cohort Study. A total of 105,922 community-dwelling adults aged ≥ 40 years underwent the oral glucose tolerance test and uric acid assessment. The nonlinear relationships between glycemic indices and SUA levels were explored using generalized additive models.
Results:
A total of 30,941 men and 62,361 women were eligible for the current analysis. Generalized additive models verified the inverted U-shaped association between glycemic indices and SUA levels, but with different inflection points in men and women. The thresholds for FPG, 2h-PG, and HbA1c for men and women were 6.5/8.0 mmol/L, 11.0/14.0 mmol/L, and 6.1/6.5, respectively (SUA levels increased with increasing glycemic indices before the inflection points and then eventually decreased with further increases in the glycemic indices).
Conclusion
An inverted U-shaped association was observed between major glycemic indices and uric acid levels in both sexes, while the inflection points were reached earlier in men than in women.
Aged
;
Asian Continental Ancestry Group
;
Blood Glucose/analysis*
;
China/epidemiology*
;
Cohort Studies
;
Diabetes Mellitus/blood*
;
Female
;
Glucose Tolerance Test
;
Glycated Hemoglobin A/analysis*
;
Glycemic Index
;
Humans
;
Male
;
Middle Aged
;
Uric Acid/blood*
8. Chemical constituents and pharmacological effects of durian shells in ASEAN countries: A review
Yuan-fei ZHAN ; Xiao-tao HOU ; Li-li FAN ; Yuan-fei ZHAN ; Xiao-tao HOU ; Li-li FAN ; Zheng-cai DU ; Er-wei HAO ; Jia-gang DENG ; Yuan-fei ZHAN ; Xiao-tao HOU ; Li-li FAN ; Zheng-cai DU ; Er-wei HAO ; Jia-gang DENG ; Yuan-fei ZHAN ; Xiao-tao HOU ; Zheng-cai DU ; Soo Ee CH'NG ; Khamphanh THEPKAYSONE ; Er-wei HAO ; Jia-gang DENG ; Xiao-tao HOU ; Zheng-cai DU ; Er-wei HAO ; Jia-gang DENG ; Soo Ee CH'NG ; Siok Meng NG ; Khamphanh THEPKAYSONE
Chinese Herbal Medicines 2021;13(4):461-471
Durio zibethnus is mainly distributed in Southeast Asia. Traditional Chinese medicine believes that durian shells have the effects of clearing heat and purging fire, nourishing yin and moisturizing dryness. Therefore, it is often used as a pharmaceutic food in the Chinese folk to assist treating diseases. At present, the chemical constituents isolated from durian shell include phenolic acids, phenolic glycosides, flavonoids, coumarins, triterpenes, simple glycosides and other compounds. Modern pharmacological studies show that durian shell has many pharmacological activities, such as antioxidant, anti-inflammatory, regulation of glucose and lipid metabolism. The chemical composition and pharmacological effects of durian shells are summarized in order to provide references for the further research and application of durian shell.
9.Chemical Constituents, Toxicology and Pharmacological Effect of Momordicae Semen
Fang-hui ZHAO ; Xiao-tao HOU ; Er-wei HAO ; Yun-fei LIANG ; Zheng-cai DU ; Jia-gang DENG
Chinese Journal of Experimental Traditional Medical Formulae 2020;26(3):222-235
Momordicae Semen a traditional toxic Chinese medicine, which was first recorded in
10.Differential diagnosis of coronavirus disease 2019 from pneumonias caused by other etiologies in a fever clinic in Beijing.
Ying LIANG ; Jing-Jin LIANG ; Qing-Tao ZHOU ; Xiao-Guang LI ; Fei LIN ; Zhong-Hua DENG ; Bi-Ying ZHANG ; Lu LI ; Xiao-Hua WANG ; Hong ZHU ; Qing-Bian MA ; Xiao-Mei TONG ; Jie XU ; Yong-Chang SUN
Chinese Medical Journal 2020;133(20):2504-2506

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