1.Expert Consensus on Clinical Application of Ruyi Zhenbaowan
Ming CHEN ; Jingling CHANG ; Shangquan WANG ; Gejia ZHONG ; Qiang DENG ; Hongxia CHEN ; Qien LI ; Yaming LIN ; Zujian XU ; Changkuan FU ; Yuer HU ; Yanming XIE ; Yuanyuan LI
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(16):173-183
Osteoarthritis (OA) and stroke are common clinical diseases that reduce patients' quality of life and place a burden on families and society. Ruyi Zhenbaowan, a classic prescription in Tibetan medicine, have the functions of clearing heat, awakening the brain and opening orifices, relaxing tendons and promoting meridian circulation, and eliminating yellow water. Clinically, they are used to treat osteoarthritis, post-stroke sequelae, neuropathic pain, and other related conditions. Modern pharmacological studies have demonstrated their anti-inflammatory, analgesic, and nerve-repairing effects. However, current research remains insufficient regarding the appropriate indications, timing, and efficacy of this medicine in treating relevant diseases. To enhance clinicians' understanding of this medicine and promote its standardized and rational clinical use, a panel of national experts, including clinical specialists, Tibetan medicine practitioners, pharmacologists, and methodologists, formulated this consensus based on clinical experience and evidence-based practice. The Cochrane systematic review framework, the Grading of Recommendations Assessment, Development and Evaluation (GRADE) system, and the nominal group method were employed to generate seven graded recommendations and 19 consensus-based suggestions. These recommendations clearly define the key points in the clinical application of Ruyi Zhenbaowan, including therapeutic indications, dosage and administration, treatment duration, and medication safety. The consensus specifically addresses the clinical efficacy, appropriate timing of administration, dosage strategies, treatment cycles, and combination medication strategies for treating osteoarthritis and stroke and provides an overview of safety considerations. The aim is to provide standardized guidance for hospitals and healthcare institutions nationwide to ensure the rational application of Ruyi Zhenbaowan in the treatment of osteoarthritis and stroke, reduce medication-related risks, and further leverage its clinical advantages. This consensus has been approved and issued by the China Association of Chinese Medicine, with the standard number GS/CACM 369-2024.
2.Prospective Study on Tooth Loss and Risk of Esophageal Cancer Among Residents of A Natural Village in Wenfeng District, Anyang City, Henan Province
Jingjing WANG ; Ruihua XU ; Yanfang ZHANG ; Xueke ZHAO ; Qiang ZHANG ; Xin SONG ; Mengxia WEI ; Junfang GUO ; Xuena HAN ; Yaru FU ; Bei LI ; Junqing LIU ; Lingling LEI ; Min LIU ; Qide BAO ; Lidong WANG
Cancer Research on Prevention and Treatment 2025;52(7):548-553
Objective To investigate the relationship between tooth loss and the occurrence of esophageal cancer in a natural village in Wenfeng District, Anyang City, Henan Province. Methods A prospective cohort study was conducted to observe the occurrence of tooth loss and esophageal cancer among the asymptomatic residents of the natural village for 16 years from January 2008 to July 2024. Data were analyzed by chi-square test, binary logistic regression, and restricted cubic spline. Results Among the total population of 711 cases, 136 cases were lost to follow-up and 575 cases were included in the final statistics, including 45 cases with esophageal cancer. Significant statistical difference was found between esophageal cancer patients with and without tooth loss (P<0.05). Logistic regression analysis showed that tooth loss was associated with the occurrence of esophageal cancer (OR=3.977, 95%CI: 1.543-10.255). After the adjustment for confounders, tooth loss
3.Pseudolaric Acid B Alleviates Non-alcoholic Fatty Liver Disease by Targeting PPARα to Regulate Lipid Metabolism and Promote Mitochondrial Biogenesis.
Shu-Yan LIU ; Xiao-Wei ZHANG ; Gai GAO ; Chang-Xin LIU ; Hui CHEN ; Zhong-Xue FU ; Jiang-Yan XU ; Zhen-Zhen WANG ; Zhen-Qiang ZHANG ; Zhi-Shen XIE
Chinese journal of integrative medicine 2025;31(10):877-888
OBJECTIVE:
To investigate the therapeutic potential of pseudolaric acid B (PAB) on non-alcoholic fatty liver disease (NAFLD) and its underlying molecular mechanism in vitro and in vivo.
METHODS:
Eight-week-old male C57BL/6J mice (n=32) were fed either a normal chow diet (NCD) or a high-fat diet (HFD) for 8 weeks. The HFD mice were divided into 3 groups according to a simple random method, including HFD, PAB low-dose [10 mg/(kg·d), PAB-L], and PAB high-dose [20 mg/(kg·d), PAB-H] groups. After 8 weeks of treatment, glucose metabolism and insulin resistance were assessed by oral glucose tolerance test (OGTT) and insulin tolerance test (ITT). Biochemical assays were used to measure the serum and cellular levels of total cholesterol (TC), triglycerides (TG), aspartate aminotransferase (AST), alanine aminotransferase (ALT), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C). White adipose tissue (WAT), brown adipose tissue (BAT) and liver tissue were subjected to hematoxylin and eosin (H&E) staining or Oil Red O staining to observe the alterations in adipose tissue and liver injury. PharmMapper and DisGeNet were used to predict the NAFLD-related PAB targets. Peroxisome proliferator-activated receptor alpha (PPARα) pathway involvement was suggested by Kyoto Encyclopedia of Genes and Genomes (KEGG) and search tool Retrieval of Interacting Genes (STRING) analyses. Luciferase reporter assay, cellular thermal shift assay (CETSA), and drug affinity responsive target stability assay (DARTS) were conducted to confirm direct binding of PAB with PPARα. Molecular dynamics simulations were applied to further validate target engagement. RT-qPCR and Western blot were performed to assess the downstream genes and proteins expression, and validated by PPARα inhibitor MK886.
RESULTS:
PAB significantly reduced serum TC, TG, LDL-C, AST, and ALT levels, and increased HDL-C level in HFD mice (P<0.01). Target prediction analysis indicated a significant correlation between PAB and PPARα pathway. PAB direct target binding with PPARα was confirmed through luciferase reporter assay, CETSA, and DARTS (P<0.05 or P<0.01). The target engagement between PAB and PPARα protein was further confirmed by molecular dynamics simulations and the top 3 amino acid residues, LEU321, MET355, and PHE273 showed the most significant changes in mutational energy. Subsequently, PAB upregulated the genes expressions involved in lipid metabolism and mitochondrial biogenesis downstream of PPARα (P<0.05 or P<0.01). Significantly, the PPARα inhibitor MK886 effectively reversed the lipid-lowering and PPARα activation properties of PAB (P<0.05 or P<0.01).
CONCLUSION
PAB mitigates lipid accumulation, ameliorates liver damage, and improves mitochondrial biogenesis by binding with PPARα, thus presenting a potential candidate for pharmaceutical development in the treatment of NAFLD.
Animals
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PPAR alpha/metabolism*
;
Non-alcoholic Fatty Liver Disease/pathology*
;
Male
;
Mice, Inbred C57BL
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Lipid Metabolism/drug effects*
;
Diterpenes/therapeutic use*
;
Organelle Biogenesis
;
Diet, High-Fat
;
Humans
;
Mice
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Liver/metabolism*
;
Insulin Resistance
;
Mitochondria/metabolism*
;
Molecular Docking Simulation
4.Effects of Hot Night Exposure on Human Semen Quality: A Multicenter Population-Based Study.
Ting Ting DAI ; Ting XU ; Qi Ling WANG ; Hao Bo NI ; Chun Ying SONG ; Yu Shan LI ; Fu Ping LI ; Tian Qing MENG ; Hui Qiang SHENG ; Ling Xi WANG ; Xiao Yan CAI ; Li Na XIAO ; Xiao Lin YU ; Qing Hui ZENG ; Pi GUO ; Xin Zong ZHANG
Biomedical and Environmental Sciences 2025;38(2):178-193
OBJECTIVE:
To explore and quantify the association of hot night exposure during the sperm development period (0-90 lag days) with semen quality.
METHODS:
A total of 6,640 male sperm donors from 6 human sperm banks in China during 2014-2020 were recruited in this multicenter study. Two indices (i.e., hot night excess [HNE] and hot night duration [HND]) were used to estimate the heat intensity and duration during nighttime. Linear mixed models were used to examine the association between hot nights and semen quality parameters.
RESULTS:
The exposure-response relationship revealed that HNE and HND during 0-90 days before semen collection had a significantly inverse association with sperm motility. Specifically, a 1 °C increase in HNE was associated with decreased sperm progressive motility of 0.0090 (95% confidence interval [ CI]: -0.0147, -0.0033) and decreased total motility of 0.0094 (95% CI: -0.0160, -0.0029). HND was significantly associated with reduced sperm progressive motility and total motility of 0.0021 (95% CI: -0.0040, -0.0003) and 0.0023 (95% CI: -0.0043, -0.0002), respectively. Consistent results were observed at different temperature thresholds on hot nights.
CONCLUSION
Our findings highlight the need to mitigate nocturnal heat exposure during spermatogenesis to maintain optimal semen quality.
Humans
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Male
;
Semen Analysis
;
Adult
;
Sperm Motility
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Hot Temperature/adverse effects*
;
China
;
Middle Aged
;
Spermatozoa/physiology*
;
Young Adult
5.Influence of Exercise Prescription on the Recovery of Cognitive Function In College Students With Mild-to-Moderate Depression
Qiang FU ; Tong XU ; Jiaojiao WANG ; Hao FU
Journal of Sichuan University (Medical Sciences) 2025;56(4):1112-1119
Objective To explore the influence of exercise prescription on cognitive function recovery in college students with mild-to-moderate depression.Methods A retrospective analysis was conducted on clinical data from college students diagnosed with mild-to-moderate depression who received care at The Second Affiliated Hospital of Xinxiang Medical College between January 2022 and June 2024.Depression patients receiving standard drug treatment were enrolled in the control group,while those receiving additional exercise prescription intervention were enrolled in the observation group.Propensity score matching was performed using the 1∶1 nearest-neighbor method to balance confounding factors,and 55 participants were included in each group in the end.Assessments were conducted at baseline and after 3 weeks and 6 weeks of treatment,covering the disease severity measured by the 24-item Hamilton Depression Rating Scale(HAMD-24),depressive symptoms measured by the Self-Rating Depression Scale(SDS),brain cognitive function measured by P300 and fNIRS,neurosecretory system function measured through corticotropin releasing hormone(CRH)and adrenocorticotropic hormone(ACTH),and the levels of neurotrophic factors,including brain-derived neurotrophic factor(BDNF),insulin-like growth factor 1(IGF-1),and vascular endothelial growth factor(VEGF).Disease severity was the primary research indicator,while the others were secondary research indicators.The primary outcome indicator was the last measurement taken after 6 weeks of treatment.Results Interaction effects were observed between groups for all measured outcomes before and after treatment(all P<0.05).After 3 weeks and 6 weeks of treatment,the observation group showed lower HAMD-24 score,SDS score,P300 latency,fNIRS integral,CRH,and ACTH than the control group did(P<0.05),but higher P300 amplitude,BDNF,IGF-1,and VEGF than the control group did(P<0.05).Conclusion Receiving exercise prescription intervention can effectively reduce the severity of depressive symptoms,enhance the recovery of brain cognitive function,and improve the neurosecretory system function recovery and the expressions of neurotrophic factors in college students with mild-to-moderate depression.
6.Clinical Multi-features Analysis of Cystic Lung Adenocarcinoma and Construction of Invasive Risk Prediction Model
WANG QIANG ; FU CHENGHAO ; WANG KUN ; REN QIANRUI ; CHEN AIPING ; XU XINFENG ; CHEN LIANG ; ZHU QUAN
Chinese Journal of Lung Cancer 2024;27(4):266-275
Background and objective Cystic lung cancer,a special type of lung cancer,has been paid more and more attention.The most common pathological type of cystic lung cancer is adenocarcinoma.The invasiveness of cystic lung adenocarcinoma is vital for the selection of clinical treatment and prognosis.The aim of this study is to analyze the multiple clinical features of cystic lung adenocarcinoma,explore the independent risk factors of its invasiveness,and establish a risk pre-diction model.Methods A total of 129 cases of cystic lung adenocarcinoma admitted to the Department of Thoracic Surgery of the First Affiliated Hospital of Nanjing Medical University from January 2021 to July 2022 were retrospectively analyzed and divided into pre-invasive group[atypical adenomatous hyperplasia(AAH),adenocarcinoma in situ(AIS)and minimally invasive adenocarcinoma(MIA)]and invasive group[invasive adenocarcinoma(IAC)]according to pathological findings.There were 47 cases in the pre-invasive group,including 19 males and 28 females,with an average age of(51.23±14.96)years.There were 82 cases in the invasive group,including 60 males and 22 females,with an average age of(61.27±11.74)years.Mul-tiple clinical features of the two groups were collected,including baseline data,imaging data and tumor markers.Univariate analysis,LASSO regression and multivariate Logistic regression analysis were used to screen out the independent risk factors of the invasiveness of cystic lung adenocarcinoma,and the risk prediction model was established.Results In univariate analysis,age,gender,smoking history,history of emphysema,neuron-specific enolase(NSE),number of cystic airspaces,lesion di-ameter,cystic cavity diameter,nodule diameter,solid components diameter,cyst wall nodule,smoothness of cyst wall,shape of cystic airspace,lobulation,short burr sign,pleural retraction,vascular penetration and bronchial penetration were statisti-cally different between the pre-invasive group and invasive groups(P<0.05).The above variables were processed by LASSO regression dimensionality reduction and screened as follows:age,gender,smoking history,NSE,number of cystic airspaces,lesion diameter,cystic cavity diameter,cyst wall nodule,smoothness of cyst wall and lobulation.Then the above variables were included in multivariate Logistic regression analysis.Cyst wall nodule(P=0.035)and lobulation(P=0.001)were found to be independent risk factors for the invasiveness of cystic lung adenocarcinoma(P<0.05).The prediction model was established as follows:P=e^x/(1+e^x),x=-7.927+1.476* cyst wall nodule+2.407* lobulation,and area under the curve(AUC)was 0.950.Conclusion Cyst wall nodule and lobulation are independent risk factors for the invasiveness of cystic lung adenocarcinoma,which have certain guiding significance for the prediction of the invasiveness of cystic lung adenocarcinoma.
7.Analysis of pollen sensitization characteristics of artemisia allergic rhinitis in three urban and rural areas of Inner Mongolia
Chunying LI ; Xiaojia LIU ; Haixia XU ; Qiang FU ; Dongyue XU ; Xiaobo CUI ; Ji LIU ; Bolong SONG ; Ming ZHENG ; Yuhui OUYANG ; Xiangdong WANG ; Xiaoling LIU
Chinese Journal of Preventive Medicine 2024;58(6):806-814
Objective:To investigate the distribution rules of artemisia pollen and the clinical sensitization characteristics of allergic rhinitis (AR) induced by artemisia pollen in three urban and rural areas of Inner Mongolia.Methods:From March to October 2019, in 3 central cities (Chifeng, Hohhot, Ordos) and rural areas of Inner Mongolia, an epidemiological investigation method combining multi-stage stratified random sampling and face-to-face questionnaire survey was adopted to screen suspected AR patients, and skin prick test (SPT) was applied for diagnosis. At the same time, pollen monitoring was carried out in 3 areas to analyze the distribution and clinical sensitization characteristics of artemisia pollen.SPSS26.0 statistical software was used to process all the data. Chi-square test was used to compare rates among different age, sex, region and nationality, Spearman test was used to describe correlation analysis, and pairwise comparison of positive rates among multiple samples was used Bonferroni method.Results:Among the 6 393 subjects, 1 093 cases were diagnosed with AR, and the prevalence of AR was 17.10% (1 093/6 393). Among them, pollen-induced allergic rhinitis, the prevalence of PiAR was 10.97% (701/6 393), accounting for 64.14%(701/1 093).The highest incidence was in the youth group (20-39 years old), accounting for 46.94% (329/701).The diagnosed prevalence was higher in females than in males (11.35% vs. 10.64%, χ2 value 12.304, P<0.001).The prevalence rate of ethnic minority was higher than that of Han nationality (13.01% vs. 10.65%, χ2 value 6.296, P=0.008).The prevalence in urban areas was also significantly higher than that in rural areas (18.40% vs. 5.50%, χ2 value 10.497, P<0.001).There was significant difference in prevalence rate among the three regions in Inner Mongolia (6.06% in Chifeng, 13.46% in Hohhot, 16.39% in Ordos, χ2 value 70.054, P<0.001).The main clinical symptoms of artemisia PiAR were sneezing (95.58%), nasal congestion (91.73%) and nasal itching (89.30%).Allergic conjunctivitis accounted for 79.60% (558/701), chronic sinusitis for 55.63% (390/701), asthma for 23.25% (163/701).The pattern of artemisia pollen sensitization was mainly multiple sensitization, and the frequency of clinical symptoms and clinical diseases induced by hypersensitization with other allergens accounted for more than that caused by single artemisia pollen. The spread period of Artemisia pollen in the three regions was from June to October, and the peak state was in August in summer. The peak time of clinical symptoms in artemisia PiAR patients was about 2 weeks earlier than the peak time of pollen concentration, and the two were significantly positively correlated ( R=0.7671, P<0.001). Conclusion:Artemisia pollens are the dominant pollens in late summer and early autumn in Inner Mongolia, and the prevalence of artemisia PiAR is high. Controlling the spread of Artemisia pollens is of great significance for the prevention and treatment of AR.
8.Analysis of pollen sensitization characteristics of artemisia allergic rhinitis in three urban and rural areas of Inner Mongolia
Chunying LI ; Xiaojia LIU ; Haixia XU ; Qiang FU ; Dongyue XU ; Xiaobo CUI ; Ji LIU ; Bolong SONG ; Ming ZHENG ; Yuhui OUYANG ; Xiangdong WANG ; Xiaoling LIU
Chinese Journal of Preventive Medicine 2024;58(6):806-814
Objective:To investigate the distribution rules of artemisia pollen and the clinical sensitization characteristics of allergic rhinitis (AR) induced by artemisia pollen in three urban and rural areas of Inner Mongolia.Methods:From March to October 2019, in 3 central cities (Chifeng, Hohhot, Ordos) and rural areas of Inner Mongolia, an epidemiological investigation method combining multi-stage stratified random sampling and face-to-face questionnaire survey was adopted to screen suspected AR patients, and skin prick test (SPT) was applied for diagnosis. At the same time, pollen monitoring was carried out in 3 areas to analyze the distribution and clinical sensitization characteristics of artemisia pollen.SPSS26.0 statistical software was used to process all the data. Chi-square test was used to compare rates among different age, sex, region and nationality, Spearman test was used to describe correlation analysis, and pairwise comparison of positive rates among multiple samples was used Bonferroni method.Results:Among the 6 393 subjects, 1 093 cases were diagnosed with AR, and the prevalence of AR was 17.10% (1 093/6 393). Among them, pollen-induced allergic rhinitis, the prevalence of PiAR was 10.97% (701/6 393), accounting for 64.14%(701/1 093).The highest incidence was in the youth group (20-39 years old), accounting for 46.94% (329/701).The diagnosed prevalence was higher in females than in males (11.35% vs. 10.64%, χ2 value 12.304, P<0.001).The prevalence rate of ethnic minority was higher than that of Han nationality (13.01% vs. 10.65%, χ2 value 6.296, P=0.008).The prevalence in urban areas was also significantly higher than that in rural areas (18.40% vs. 5.50%, χ2 value 10.497, P<0.001).There was significant difference in prevalence rate among the three regions in Inner Mongolia (6.06% in Chifeng, 13.46% in Hohhot, 16.39% in Ordos, χ2 value 70.054, P<0.001).The main clinical symptoms of artemisia PiAR were sneezing (95.58%), nasal congestion (91.73%) and nasal itching (89.30%).Allergic conjunctivitis accounted for 79.60% (558/701), chronic sinusitis for 55.63% (390/701), asthma for 23.25% (163/701).The pattern of artemisia pollen sensitization was mainly multiple sensitization, and the frequency of clinical symptoms and clinical diseases induced by hypersensitization with other allergens accounted for more than that caused by single artemisia pollen. The spread period of Artemisia pollen in the three regions was from June to October, and the peak state was in August in summer. The peak time of clinical symptoms in artemisia PiAR patients was about 2 weeks earlier than the peak time of pollen concentration, and the two were significantly positively correlated ( R=0.7671, P<0.001). Conclusion:Artemisia pollens are the dominant pollens in late summer and early autumn in Inner Mongolia, and the prevalence of artemisia PiAR is high. Controlling the spread of Artemisia pollens is of great significance for the prevention and treatment of AR.
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.Predictive value of 18F-FDG PET/CT in molecular subtyping for triple-negative breast cancer
Jianjing LIU ; Haiman BIAN ; Qiang FU ; Ziyang WANG ; Fang YANG ; Dong DAI ; Wei CHEN ; Lei ZHU ; Wengui XU
Chinese Journal of Radiological Medicine and Protection 2024;44(5):421-427
Objective:To explore the predictive value of 18F-FDG PET/CT in molecular subtyping of triple-negative breast cancer. Methods:A retrospective analysis was performed on the clinical and imaging data of 227 breast cancer patients who underwent 18F-FDG PET/CT examination in the Tianjin Medical University Cancer Institute & Hospital from January 1, 2010 to December 31, 2022. Based on the expression levels of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER-2) in the primary breast cancer, the patients were categorized into two groups: triple-negative breast cancer (TNBC) and non-TNBC. Radiomic features were extracted from images of both groups, and a radiomic model was constructed to predict the molecular subtype of the TNBC groups. In addition, the clinical data, CT morphological features, and PET metabolic parameters of both groups were compared to determine the indicators with statistically significant differences and develop a comprehensive radiomic model combined with clinical characteristics. Results:Compared to the non-TNBC group, the TNBC groups exhibited more significant invasiveness in terms of tumor diameter, margins, ipsilateral axillary lymph node metastasis, invasion of neighboring skin or papillae, and PET metabolic parameters ( t = -3.19; χ2 = 7.30, 8.10, 5.34; t = 3.80, 3.30, 3.42, P < 0.05). The constructed 18F-FDG PET/CT radiomic model proved effective in predicting the molecular subtype of the TNBC group, and the receiver operating characteristic (ROC) curve showed an area under the curve (AUC) of 0.83 (95% CI 0.78-0.88), an accuracy of 75.9%, a sensitivity of 74.5%, and a specificity of 77.2%. In contrast, the constructed comprehensive radiomic model displayed an AUC of 0.86 (95% CI 0.81-0.90), an accuracy of 77.2%, a sensitivity of 78.6%, and a specificity of 75.9%. Conclusions:18F-FDG PET/CT plays an important role in predicting molecular subtypes of TNBC. The constructed radiomic model and comprehensive radiomic model can further enhance the prediction efficacy of PET metabolic parameters and accelerate the development of accurate treatment protocols in clinical practice, thus improving the prognosis of breast cancer.

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