1.Expert consensus on the application of nasal cavity filling substances in nasal surgery patients(2025, Shanghai).
Keqing ZHAO ; Shaoqing YU ; Hongquan WEI ; Chenjie YU ; Guangke WANG ; Shijie QIU ; Yanjun WANG ; Hongtao ZHEN ; Yucheng YANG ; Yurong GU ; Tao GUO ; Feng LIU ; Meiping LU ; Bin SUN ; Yanli YANG ; Yuzhu WAN ; Cuida MENG ; Yanan SUN ; Yi ZHAO ; Qun LI ; An LI ; Luo BA ; Linli TIAN ; Guodong YU ; Xin FENG ; Wen LIU ; Yongtuan LI ; Jian WU ; De HUAI ; Dongsheng GU ; Hanqiang LU ; Xinyi SHI ; Huiping YE ; Yan JIANG ; Weitian ZHANG ; Yu XU ; Zhenxiao HUANG ; Huabin LI
Journal of Clinical Otorhinolaryngology Head and Neck Surgery 2025;39(4):285-291
This consensus will introduce the characteristics of fillers used in the surgical cavities of domestic nasal surgery patients based on relevant literature and expert opinions. It will also provide recommendations for the selection of cavity fillers for different nasal diseases, with chronic sinusitis as a representative example.
Humans
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Nasal Cavity/surgery*
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Nasal Surgical Procedures
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China
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Consensus
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Sinusitis/surgery*
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Dermal Fillers
2.Analyzing the influencing factors of work-related musculoskeletal disorders in passenger drivers
Xinyang YU ; Yingfei XIANG ; Yonglin LUO ; Meifang XU ; Xiao YIN ; Min YANG ; Huiqing CHEN ; Shijie HU
China Occupational Medicine 2025;52(2):155-159
Objective To investigate the prevalence of work-related musculoskeletal disorders (WMSDs) in passenger drivers and its influencing factors. Methods A total of 951 passenger drivers in Guangdong Province were selected as the research subjects using the judgmental sampling method. A Musculoskeletal Injury Questionnaire was employed to assess the prevalence of WMSDs in the past year. Results The prevalence of WMSDs in passenger drivers was 41.11%. The result of multivariable logistic regression analysis showed that married drivers had a higher risk of WMSDs than single drivers (P<0.05). The lower the frequency of physical exercise, the longer the driving time per week, the longer the continuous driving time, the more restricted the driving working space, the poorer the foot comfort during driving, and the more affected the normal meal, the higher the risk of WMSDs (all P<0.05). The risk of WMSDs in drivers with sleep time ≤ 8.0 h/d was higher than that in drivers with sleep time > 8.0 h/d (P<0.01), and the risk of WMSDs in drivers with the same posture for a long time on the shoulder was higher than that in drivers without this poor working posture (P<0.01). Conclusion WMSDs were prevalent among passenger drivers, which was associated with demographic and adverse ergonomic factors. Intervention on lifestyle and adverse ergonomic factors could further reduce the risk of WMSDs of passenger drivers.
3.Research progress on the neuroimaging mechanism of anhedonia in major depressive disorder
Shijie LUO ; Yiliang ZHANG ; Shuming ZHONG ; Shunkai LAI ; Yanbin JIA
Chinese Journal of Psychiatry 2025;58(2):147-151
Anhedonia is one of the core symptoms of major depressive disorder, and its underlying mechanisms remain unclear. The regulation of the reward process in brain regions, such as the hippocampus, amygdala, striatum, ventral tegmental brain, and prefrontal lobe, may play a role in anhedonia. This study has concluded the changes in relevant brain regions in reward anticipation, decision-making, and feedback processes. The neuroimaging mechanisms of inflammation, neurotransmitter metabolism, and gene expression on depression anhedonia symptoms were reviewed.
4.Ultrasound radiomics combined with machine learning for early diagnosis of seronegative hashimoto’s thyroiditis
Wenjun WU ; Chang LIU ; Shengsheng YAO ; Daming LIU ; Yuan LUO ; Yihan SUN ; Ting RUAN ; Mengyou LIU ; Li SHI ; Mingming XIAO ; Qi ZHANG ; Zhengshuai LIU ; Xingai JU ; Jiahao WANG ; Xiang FEI ; Li LU ; Yang GAO ; Ying ZHANG ; Liying GONG ; Xuanyu CHEN ; Wanli ZHENG ; Xiali NIU ; Xiao YANG ; Huimei CAO ; Shijie CHANG ; Zuoxin MA ; Jianchun CUI
Chinese Journal of Endocrine Surgery 2025;19(3):313-319
Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.
5.Ultrasound radiomics combined with machine learning for early diagnosis of seronegative hashimoto’s thyroiditis
Wenjun WU ; Chang LIU ; Shengsheng YAO ; Daming LIU ; Yuan LUO ; Yihan SUN ; Ting RUAN ; Mengyou LIU ; Li SHI ; Mingming XIAO ; Qi ZHANG ; Zhengshuai LIU ; Xingai JU ; Jiahao WANG ; Xiang FEI ; Li LU ; Yang GAO ; Ying ZHANG ; Liying GONG ; Xuanyu CHEN ; Wanli ZHENG ; Xiali NIU ; Xiao YANG ; Huimei CAO ; Shijie CHANG ; Zuoxin MA ; Jianchun CUI
Chinese Journal of Endocrine Surgery 2025;19(3):313-319
Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.
6.Research progress on the neuroimaging mechanism of anhedonia in major depressive disorder
Shijie LUO ; Yiliang ZHANG ; Shuming ZHONG ; Shunkai LAI ; Yanbin JIA
Chinese Journal of Psychiatry 2025;58(2):147-151
Anhedonia is one of the core symptoms of major depressive disorder, and its underlying mechanisms remain unclear. The regulation of the reward process in brain regions, such as the hippocampus, amygdala, striatum, ventral tegmental brain, and prefrontal lobe, may play a role in anhedonia. This study has concluded the changes in relevant brain regions in reward anticipation, decision-making, and feedback processes. The neuroimaging mechanisms of inflammation, neurotransmitter metabolism, and gene expression on depression anhedonia symptoms were reviewed.
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.Investigation and Analysis of the Fourth National General Investigation on the Medicinal Plant Resources in Hongya County of Sichuan Province
Lei ZHAO ; Yuntan QIN ; Shijie ZHU ; Qingmao FANG ; Bing LUO ; Xianjian ZHOU ; Jnuning ZHAO
World Science and Technology-Modernization of Traditional Chinese Medicine 2024;26(8):1967-1974
Objective To investigate the medicinal plant resources in Hongya County of Sichuan Province,so as to provide data support for the development,utilization,and protection of traditional Chinese medicine resources in Hongya County.Methods This study conducted a comprehensive investigation on the medicinal plant species in Hongya County using literature review,field investigation,interview investigation,sample plot investigation,and specimen collection.Results The findings revealed a total of 1748 species of medicinal plants in Hongya County,belonging to 808 genera and 185 families,the Compositae family had the highest proportion.Furthermore,the study identified 5 rare and endangered medicinal plants,14 species of wild plants under state key protection,9 species of wild medicinal materials under state key protection,185 species of traditional Chinese medicine listed in the 2020 edition of Chinese Pharmacopoeia of the People's Republic.Conclusion The medicinal plant resources in Hongya County are rich,but the utilization rate is low,and there is a large space for the industrialization development of traditional Chinese medicine.The general investigation results provide a reference for the rational development and protection of medicinal plant in Hongya County.
9.Role and mechanism of P311 in the differentiation of mouse skin fibroblasts into myofibroblasts
Xue HENG ; Buying LI ; Shijie GAO ; Changjin LU ; Xiaorong ZHANG ; Xiaohong HU ; Gaoxing LUO ; Haisheng LI
Chinese Journal of Burns 2024;40(9):849-856
Objective:To explore the role and mechanism of P311 in the differentiation of mouse skin fibroblasts (Fbs) into myofibroblasts.Methods:The study was an experimental research. Six 2-day-old male C57BL/6 mouse were used to extract skin Fbs by enzymatic hydrolysis method and routinely cultured. The 1 st to 3 rd passage cells were taken and divided into empty vector group transfected with empty adenovirus and P311 group transfected with P311 high expression adenovirus, and P311+myocardin-related transcription factor A (MRTF-A) small interfering RNA (siMRTF-A) group transfected with P311 high expression adenovirus and siMRTF-A according to the random number table. After 72 h of culture, the cell proliferation vitality of cells in 3 groups was detected by cell counting kit 8, the protein expressions of MRTF-A, α-smooth muscle actin (α-SMA), and serum response factor (SRF) in cells in 3 groups were detected by Western blotting, the collagen gel contraction assay was performed and the 72 h gel contraction rates in 3 groups were calculated. The sample numbers in the above experiments were all 3. The protein expressions of MRTF-A and SRF in cells, cytoplasm, and nucleus in cells in empty vector group and P311 group were detected by Western blotting, with sample number of 4. Results:After 72 h of culture, the cell proliferation vitality of cells in empty vector group, P311 group, and P311+siMRTF-A group was similar ( P>0.05). After 72 h of culture, compared with those in empty vector group, the protein expressions of MRTF-A, α-SMA, and SRF in cells in P311 group were significantly increased ( P<0.05), while the protein expressions of MRTF-A and SRF in cells in P311+siMRTF-A group were significantly decreased ( P<0.05). Compared with those in P311 group, the protein expressions of MRTF-A, SRF, and α-SMA in cells in P311+siMRTF-A group were significantly decreased ( P<0.05). The 72 h gel contraction rate showing cell contractility in P311 group was (84.8±6.2)%, which was significantly higher than (27.8±2.6)% in empty vector group and (24.7±3.2)% in P311+siMRTF-A group (with P values all <0.05). The 72 h gel contraction rates in empty vector group and P311+siMRTF-A group were similar ( P>0.05). After 72 hours of culture, the protein expressions of MRTF-A (with t values of 5.86 and 3.77, respectively, P<0.05) and SRF (with t values of 3.95 and 3.97, respectively, P<0.05) in cells and cytoplasm in P311 group were significantly higher than those in empty vector group, while the protein expressions of MRTF-A and SRF in the nucleus of cells were similar between the two groups ( P>0.05). Conclusions:P311 can promote the differentiation of fibroblasts into myofibroblasts through MRTF-A, and then participate in scar formation.
10.Xuebijing injection alleviates inflammatory response in isolated empty beating pig hearts preserved by ECMO
Chunhua WANG ; Xiao YUE ; Wei WU ; Guanbin QIN ; Lan LUO ; Qiangxin HUANG ; Shijie YIN
Organ Transplantation 2024;15(5):772-779
Objective To investigate the regulatory effect of Xuebijing injection on inflammatory reaction during the preservation of isolated empty beating pig hearts with extracorporeal membrane oxygenation.Methods Twelve healthy Guangxi Bama miniature pigs were randomly divided into the Xuebijing group(n=6)and normal saline group(n=6).After the models were established in the Xuebijing group,Xuebijing injection was given at a dose of 5 mL/h through micropump in membrane oxygenator.In the normal saline group,an equivalent amount of 0.9%sodium chloride injection was pumped.Continuous pumping was performed for 8 h in both groups.The time of cardiac resuscitation and perfusion pressure,heart rate,perfusion flow rate after 8 h preservation were recorded in two groups.Pathological and ultrastructural changes of myocardial tissues in the left ventricular wall of hearts with cardiac arrest were observed after 8 h preservation.Serum levels of myocardial injury markers and inflammatory cytokines were detected in two groups at the beginning(T0),2 h(T2),4 h(T4),6 h(T6)and 8 h(T8)after model establishment,respectively.The expression levels of NOD-like receptor protein 3(NLRP3),cysteinyl aspartate specific proteinase-1(Caspase-1),apoptosis-associated speck-like protein containing a CARD(ASC)messenger RNA(mRNA)in myocardial tissues were measured at T0,T2,T4,T6 and T8,respectively.Results There were no significant differences in the time of cardiac resuscitation and perfusion pressure,heart rate,perfusion flow rate after 8 h preservation between two groups(all P>0.05).Compared with the normal saline group,the levels of lactate dehydrogenase(LDH)at T4,creatine kinase(CK),LDH and α-hydroxybutyrate dehydrogenase(α-HBDH)at T6 and T8,tumor necrosis factor(TNF)-α at T4,T6 and T8,and interleukin(IL)-6,IL-18 and IL-1 β at T0,T2,T4,T6 and T8 were lower,and the mRNA relative expression levels of NLRP3 and Caspase-1 at T2,T4 and T6,and Caspase-1 and ASC at T8 were lower in the Xuebijing group,respectively(all P<0.05).Hematoxylin-eosin staining and transmission electron microscopy showed that the degree of myocardial injury in the Xuebijing group was slighter than that in the normal saline group.Conclusions Xuebijing injection may effectively mitigate inflammatory response and exert certain myocardial protection effect during the ECMO preservation of isolated empty beating pig hearts.

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