1.Trend in incidence and change in age at onset of lung cancer in Wujiang District from 2012 to 2021
ZHANG Rongyan ; GU Siyi ; YANG Mei ; SHEN Jianxin ; CUI Junpeng ; LU Yan
Journal of Preventive Medicine 2025;37(10):1029-1034
Objective:
To investigate the trend in incidence and change in age at onset of lung cancer in in Wujiang District, Suzhou City, Jiangsu Province from 2012 to 2021, so as to provide a basis for strengthening targeted prevention and control of lung cancer.
Methods:
Data of lung cancer incidence from 2012 to 2021 were collected through the Wujiang District Tumor Follow-up Registration Information System. The crude incidence, truncated incidence for 35 to 64 years, and cumulative incidence for 0 to 74 years were calculated. Chinese population-standardized incidence, Chinese population-standardized average age at onset, and Chinese population-standardized incidence proportion were calculated using the age structure of the standard population from the Fifth National Population Census in 2000. The trend in incidence of lung cancer from 2012 to 2021 was evaluated using average annual percent change (AAPC). The trend in the Chinese population-standardized average age at onset of lung cancer from 2012 to 2021 was evaluated using a linear regression model.
Results:
From 2012 to 2021, the crude incidence, the Chinese population-standardized incidence and truncated incidence for 35 to 64 years of lung cancer in Wujiang District were 84.57/100 000, 37.28/100 000 and 52.10/100 000, respectively, all showing upward trends (AAPC=2.489%, 2.034% and 4.654%, all P<0.05). The cumulative incidence for 0 to 74 years was 4.48%, showing no significant trend (P>0.05). The Chinese population-standardized incidence was higher in males than in females (48.16/105 vs. 26.81/105). The Chinese population-standardized incidence of lung cancer in females showed an upward trend (AAPC=8.174%, P<0.05), while the trend in males was not statistically significant (P>0.05). The crude incidence of lung cancer showed upward trends in the total population and females aged 0-<45 years (AAPC=18.287% and 25.343%, both P<0.05) and those aged 45-<55 age group (AAPC=8.003% and 17.629%, both P<0.05). The Chinese population-standardized average age at onset of lung cancer in total population and females decreased from 67.58 and 65.48 years in 2012 to 60.15 and 54.88 years in 2021, with an average annual reduction of 0.611 and 0.964 years, respectively (both P<0.05). The Chinese population-standardized incidence proportion showed upward trends for the total population and females under 65 years (AAPC=3.879% and 4.639%, both P<0.05). No statistically significant trends were observed in the Chinese population-standardized average age at onset or incidence proportion in males (both P>0.05).
Conclusions
From 2012 to 2021, the incidence of lung cancer in Wujiang District showed an increasing trend and a trend toward younger onset age. Young and middle-aged females had emerged as a key target population for lung cancer prevention and control.
2.The value of MRI radiomics model for predicting pathologic response to neoadjuvant therapy in human epidermal growth factor receptor 2-positive breast cancer
Junjie ZHANG ; Yanfen CUI ; Ruirui SONG ; Jianxin ZHANG ; Xiaotang YANG
Chinese Journal of Radiology 2025;59(9):1046-1054
Objective:To investigate the value of MRI radiomics model in evaluating the pathological complete response (pCR) status of human epidermal growth factor receptor 2(HER-2) positive breast cancer after neoadjuvant therapy.Methods:The study was a cross-sectional study. The clinical, pathological, and MRI data of 243 HER-2 positive breast cancer patients who received neoadjuvant therapy in Shanxi Province Cancer Hospital from January 2021 to June 2023 were retrospectively analyzed. All patients were female, aged 26?75 years. All patients were randomly divided into training set (146 cases) and validation set (97 cases) at a ratio of 6∶4 according to the simple random sampling method. Univariate and multivariate logistic regression were used to screen independent predictors of pCR. Radiomics features were extracted from the early-phase (the 2nd phase) images of breast dynamic contrast-enhanced-MRI after neoadjuvant therapy.The four-step procedure was adopted for feature screening. The radiomics model was constructed by logistic regression. A combined model was constructed by integrating radiomics features and independent predictors. Two radiologists (Reader 1 with 10 years experience and Reader 2 with 13 years experience) who major in breast MRI visually evaluated the pCR status of breast cancer after neoadjuvant therapy. The receiver operating characteristic curve and area under the curve (AUC) were used to evaluate the efficacy of Reader 1, Reader 2, the radiomics model, and the combined model in predicting pCR status. The Hosmer-Lemeshow goodness-of-fit test was used to evaluate the calibration of the model.Results:Among 243 HER-2 positive breast cancer patients, totally 118 achieved pCR. In clinical and pathological features, HER-2 3+ was an independent predictor of pCR ( OR=2.71, 95% CI 1.03?7.12, P=0.043). In the training set and validation set, the AUCs of the radiomics model in predicting pCR status were 0.899 and 0.853, respectively.The AUCs of the combined model were 0.917 and 0.890, respectively. In the validation set, the AUC value of the radiomics model in predicting pCR status was higher than that of Reader 1 and Reader 2. Hosmer-Lemeshow goodness-of-fit test showed that there was no significant difference between the prediction of pCR status by the combined model and radiomics model and the actual results in the training set and validation set, and the fitting was good ( P>0.05). Conclusion:The MRI-based radiomics model can be used to predict pCR status in HER-2 positive breast cancer and outperforms the visual qualitative assessments of radiologists.
3.Exploration of surgical decision-making for gastric cancer in the era of immunotherapy
Jianxin CUI ; Rui LI ; Hao CUI ; Lin CHEN
International Journal of Surgery 2025;52(5):289-295
The introduction of immunotherapy has significantly improved the pathological complete response (pCR) rate and tumor downstaging effect in patients receiving neoadjuvant therapy for gastric cancer, while simultaneously presenting new challenges and opportunities for surgical decision-making. The recommended number of cycles for neoadjuvant therapy is 2 to 4 cycles, and the recommended time interval for surgery is within 4 to 6 weeks after the last treatment. Laparoscopic and robotic-assisted minimally invasive surgeries have demonstrated relative advantages in postoperative recovery and safety. For cases achieving pCR or significant tumor regression after immunotherapy, active function-preserving surgeries or enrollment in clinical trial cohorts may be explored. Basic research indicates that preserving unaffected lymph nodes may maintain immune activity, challenging the traditional D2 lymphadenectomy scope, which requires further clinical evidence. Neoadjuvant immunotherapy has not significantly increased perioperative complications. This article aims to discuss the core issues in surgical decision-making for gastric cancer after neoadjuvant therapy, providing a detailed analysis from the perspectives of surgical timing, approach, scope, and complication management, with the hope of offering more references for surgical decision-making after neoadjuvant therapy.
4.Auditory outcomes and influencing factors by different bilateral intervention modes in children with cochlear implantation
Pei LIU ; Biaoxin ZHANG ; Jianxin QIU ; Qinzhi SUN ; Lulu WANG ; Chunjing ZHANG ; Yuanyuan CUI ; Ting WU
Journal of Audiology and Speech Pathology 2025;33(3):236-243
Objective To investigate the auditory effects of cochlear implantation in quiet and noisy environ-ments in children with different bilateral intervention modes,as well as the factors influencing these effects.Methods A total of 185 children with bilateral severe to profound sensorineural hearing loss were divided into three groups:bimodal hearing mode group(BIM,n=55),simultaneous bilateral cochlear implantation group(SCI,n=70),and sequential bilateral cochlear implantation group(SBCI,n=60).The Parents' Evaluation of Aural/Oral Performance of Children(PEACH)was used to assess the PEACH scores of the three groups in quiet and noisy environments one year after binaural hearing aid intervention.Additionally,the effects of cochlear implantation age,preoperative residual hearing,hearing aid usage,rehabilitation training mode,family system,and other factors on auditory per-formance in quiet and noisy environments were analyzed.Results The PEACH scores in quiet environments were higher than those in noisy environments for all three groups(all P<0.05).The SCI group had higher PEACH scores in both quiet and noisy environments compared to the BIM group(P<0.05).Multifactorial analysis revealed differences in factors influencing auditory performance in quiet and noisy environments among the three groups.First cochlear implantation before 3 years of age,preoperative hearing aid usage,and home-based rehabilitation training mode were common favourable influencing factors for auditory performance in both environments.Preopera-tive residual hearing below 95 dB HL was an favourable influencing factor for auditory performance in quiet environ-ments in the BIM group.The higher the level of parental education,the better auditory performance in both quiet and noisy environments for the SCI and SBCI groups.Implantation interval of 24 months or less and hearing aid usage during the inter-implantation period were favourable influencing factors for auditory performance in both envi-ronments for the SBCI group.Conclusion Children with severe to profound prelingual deafness after simultaneous bilateral CI implantation had better hearing performance than bimodal listening in quiet and noise environments.Ear-ly implantation,preoperative or inter-implantation hearing aid usage are recommended to improve auditory perform-ance in noisy environments,regardless of the bilateral intervention mode.The interval between bilateral cochlear im-plantations should be less than 12 months.
5.Risk factors and nomogram construction for predicting long-term survival in hepatoid adenocarcinoma of the stomach
Yuyuan LU ; Hao CUI ; Bo CAO ; Qixuan XU ; Jingwang GAO ; Ruiyang ZHAO ; Huiguang REN ; Zhen YUAN ; Jiajun DU ; Jiahong SUN ; Jianxin CUI ; Bo WEI
Chinese Journal of Gastrointestinal Surgery 2025;28(2):157-168
Objective:This study aimed to analyze the prognostic risk factors for hepatoid adenocarcinoma of the stomach (HAS) and construct two nomogram-based clinical prediction models to predict overall survival (OS) and recurrence-free survival (RFS) in patients with HAS.Methods:Data were retrospectively collected from 82 patients (64 males, 18 females; mean age 60.3 ± 9.4 years) who underwent radical gastrectomy and were pathologically diagnosed with gastric hepatoid adenocarcinoma at the First Medical Center of the PLA General Hospital between February 2006 and September 2023. Statistical analyses were conducted using SPSS 25.0 and R 4.3.2. Survival analyses were performed using the Kaplan-Meier method, and univariate analyses were used to identify clinical and pathological factors associated with prognosis. Variables with P<0.05 in the univariate analysis were included in multivariate Cox regression models to identify independent risk factors for OS and RFS. These factors were incorporated into the prediction models to construct nomograms. The discriminatory power of the models was assessed using the area under the curve (AUC) of receiver operating characteristic (ROC) analyses, while calibration curves, decision curve analysis (DCA), and comparisons with the 8th edition of the TNM staging system of the American Joint Committee on Cancer (AJCC) were employed to evaluate model performance. Results:Among the 82 patients, 36 (43.9%) exhibited vascular infiltration, 61 (74.4%) had nerve infiltration, and lymph node metastasis was observed in 60 cases (73.2%). Pathological stages I, II, III, and IV were distributed as 11 (13.4%), 26 (31.7%), 44 (53.7%), and 1 (1.2%) cases, respectively. Inflammatory markers included neutrophil-to-lymphocyte ratio (NLR) ≥ 4.33 in 22 cases (26.8%), platelet-to-lymphocyte ratio (PLR) ≥ 142.2 in 50 cases (61.0%), monocyte-to-lymphocyte ratio (MLR) ≥ 0.411 in 22 cases (26.8%), α-fetoprotein (AFP) ≥ 2.48 μg/L in 64 cases (78.0%), and C-reactive protein (CRP) ≥ 7.506 mg/L in 12 cases (14.6%). Among the 82 patients, 3 cases (3.6%) were lost to follow-up. The median follow-up time was 52 (range: 8–147) months, with a median OS of 61(2–147) months. The 1-year and 3-year OS rates were 78.5% and 58.5%, respectively, while the 1-year and 3-year RFS rates were 77.3% and 60.3%, respectively. Multivariate analysis identified several independent risk factors influencing OS in patients with HAS: advanced pathological stage, MLR ≥ 0.411, AFP ≥ 2.545 μg/L, and CRP ≥ 7.51 mg/L. The hazard ratios (HRs) and 95% confidence intervals (CIs) were as follows: 5.218 (1.230–22.143), 2.610 (1.287–5.294), 2.950 (1.013–8.589), and 2.594 (1.145–5.877), respectively (all P < 0.05). For RFS, advanced pathological stage, PLR ≥ 152.0, and MLR ≥ 0.411 were independent risk factors, with HRs (95% CIs) of 4.735 (1.080–20.760), 3.759 (1.259–11.226), and 2.714 (1.218–6.048), respectively (all P < 0.05). The AUC values for OS prediction at 1 year, 3 years, and 5 years were 0.7765, 0.7525, and 0.7702, respectively. For RFS, the AUC values were 0.7304, 0.8137, and 0.8307 at 1 year, 3 years, and 5 years, respectively. The calibration curves demonstrated strong agreement between nomogram- predicted outcomes and observed survival data. DCA indicated that both TNM staging and the nomogram-based clinical prediction models provided a net positive benefit in predicting OS and RFS in HAS patients, with the nomogram model demonstrating superior performance. Conclusion:The nomogram-based clinical prediction models developed in this study demonstrated robust performance in predicting long-term OS and RFS in patients with HAS.
6.Auditory outcomes and influencing factors by different bilateral intervention modes in children with cochlear implantation
Pei LIU ; Biaoxin ZHANG ; Jianxin QIU ; Qinzhi SUN ; Lulu WANG ; Chunjing ZHANG ; Yuanyuan CUI ; Ting WU
Journal of Audiology and Speech Pathology 2025;33(3):236-243
Objective To investigate the auditory effects of cochlear implantation in quiet and noisy environ-ments in children with different bilateral intervention modes,as well as the factors influencing these effects.Methods A total of 185 children with bilateral severe to profound sensorineural hearing loss were divided into three groups:bimodal hearing mode group(BIM,n=55),simultaneous bilateral cochlear implantation group(SCI,n=70),and sequential bilateral cochlear implantation group(SBCI,n=60).The Parents' Evaluation of Aural/Oral Performance of Children(PEACH)was used to assess the PEACH scores of the three groups in quiet and noisy environments one year after binaural hearing aid intervention.Additionally,the effects of cochlear implantation age,preoperative residual hearing,hearing aid usage,rehabilitation training mode,family system,and other factors on auditory per-formance in quiet and noisy environments were analyzed.Results The PEACH scores in quiet environments were higher than those in noisy environments for all three groups(all P<0.05).The SCI group had higher PEACH scores in both quiet and noisy environments compared to the BIM group(P<0.05).Multifactorial analysis revealed differences in factors influencing auditory performance in quiet and noisy environments among the three groups.First cochlear implantation before 3 years of age,preoperative hearing aid usage,and home-based rehabilitation training mode were common favourable influencing factors for auditory performance in both environments.Preopera-tive residual hearing below 95 dB HL was an favourable influencing factor for auditory performance in quiet environ-ments in the BIM group.The higher the level of parental education,the better auditory performance in both quiet and noisy environments for the SCI and SBCI groups.Implantation interval of 24 months or less and hearing aid usage during the inter-implantation period were favourable influencing factors for auditory performance in both envi-ronments for the SBCI group.Conclusion Children with severe to profound prelingual deafness after simultaneous bilateral CI implantation had better hearing performance than bimodal listening in quiet and noise environments.Ear-ly implantation,preoperative or inter-implantation hearing aid usage are recommended to improve auditory perform-ance in noisy environments,regardless of the bilateral intervention mode.The interval between bilateral cochlear im-plantations should be less than 12 months.
7.Risk factors and nomogram construction for predicting long-term survival in hepatoid adenocarcinoma of the stomach
Yuyuan LU ; Hao CUI ; Bo CAO ; Qixuan XU ; Jingwang GAO ; Ruiyang ZHAO ; Huiguang REN ; Zhen YUAN ; Jiajun DU ; Jiahong SUN ; Jianxin CUI ; Bo WEI
Chinese Journal of Gastrointestinal Surgery 2025;28(2):157-168
Objective:This study aimed to analyze the prognostic risk factors for hepatoid adenocarcinoma of the stomach (HAS) and construct two nomogram-based clinical prediction models to predict overall survival (OS) and recurrence-free survival (RFS) in patients with HAS.Methods:Data were retrospectively collected from 82 patients (64 males, 18 females; mean age 60.3 ± 9.4 years) who underwent radical gastrectomy and were pathologically diagnosed with gastric hepatoid adenocarcinoma at the First Medical Center of the PLA General Hospital between February 2006 and September 2023. Statistical analyses were conducted using SPSS 25.0 and R 4.3.2. Survival analyses were performed using the Kaplan-Meier method, and univariate analyses were used to identify clinical and pathological factors associated with prognosis. Variables with P<0.05 in the univariate analysis were included in multivariate Cox regression models to identify independent risk factors for OS and RFS. These factors were incorporated into the prediction models to construct nomograms. The discriminatory power of the models was assessed using the area under the curve (AUC) of receiver operating characteristic (ROC) analyses, while calibration curves, decision curve analysis (DCA), and comparisons with the 8th edition of the TNM staging system of the American Joint Committee on Cancer (AJCC) were employed to evaluate model performance. Results:Among the 82 patients, 36 (43.9%) exhibited vascular infiltration, 61 (74.4%) had nerve infiltration, and lymph node metastasis was observed in 60 cases (73.2%). Pathological stages I, II, III, and IV were distributed as 11 (13.4%), 26 (31.7%), 44 (53.7%), and 1 (1.2%) cases, respectively. Inflammatory markers included neutrophil-to-lymphocyte ratio (NLR) ≥ 4.33 in 22 cases (26.8%), platelet-to-lymphocyte ratio (PLR) ≥ 142.2 in 50 cases (61.0%), monocyte-to-lymphocyte ratio (MLR) ≥ 0.411 in 22 cases (26.8%), α-fetoprotein (AFP) ≥ 2.48 μg/L in 64 cases (78.0%), and C-reactive protein (CRP) ≥ 7.506 mg/L in 12 cases (14.6%). Among the 82 patients, 3 cases (3.6%) were lost to follow-up. The median follow-up time was 52 (range: 8–147) months, with a median OS of 61(2–147) months. The 1-year and 3-year OS rates were 78.5% and 58.5%, respectively, while the 1-year and 3-year RFS rates were 77.3% and 60.3%, respectively. Multivariate analysis identified several independent risk factors influencing OS in patients with HAS: advanced pathological stage, MLR ≥ 0.411, AFP ≥ 2.545 μg/L, and CRP ≥ 7.51 mg/L. The hazard ratios (HRs) and 95% confidence intervals (CIs) were as follows: 5.218 (1.230–22.143), 2.610 (1.287–5.294), 2.950 (1.013–8.589), and 2.594 (1.145–5.877), respectively (all P < 0.05). For RFS, advanced pathological stage, PLR ≥ 152.0, and MLR ≥ 0.411 were independent risk factors, with HRs (95% CIs) of 4.735 (1.080–20.760), 3.759 (1.259–11.226), and 2.714 (1.218–6.048), respectively (all P < 0.05). The AUC values for OS prediction at 1 year, 3 years, and 5 years were 0.7765, 0.7525, and 0.7702, respectively. For RFS, the AUC values were 0.7304, 0.8137, and 0.8307 at 1 year, 3 years, and 5 years, respectively. The calibration curves demonstrated strong agreement between nomogram- predicted outcomes and observed survival data. DCA indicated that both TNM staging and the nomogram-based clinical prediction models provided a net positive benefit in predicting OS and RFS in HAS patients, with the nomogram model demonstrating superior performance. Conclusion:The nomogram-based clinical prediction models developed in this study demonstrated robust performance in predicting long-term OS and RFS in patients with HAS.
8.The value of MRI radiomics model for predicting pathologic response to neoadjuvant therapy in human epidermal growth factor receptor 2-positive breast cancer
Junjie ZHANG ; Yanfen CUI ; Ruirui SONG ; Jianxin ZHANG ; Xiaotang YANG
Chinese Journal of Radiology 2025;59(9):1046-1054
Objective:To investigate the value of MRI radiomics model in evaluating the pathological complete response (pCR) status of human epidermal growth factor receptor 2(HER-2) positive breast cancer after neoadjuvant therapy.Methods:The study was a cross-sectional study. The clinical, pathological, and MRI data of 243 HER-2 positive breast cancer patients who received neoadjuvant therapy in Shanxi Province Cancer Hospital from January 2021 to June 2023 were retrospectively analyzed. All patients were female, aged 26?75 years. All patients were randomly divided into training set (146 cases) and validation set (97 cases) at a ratio of 6∶4 according to the simple random sampling method. Univariate and multivariate logistic regression were used to screen independent predictors of pCR. Radiomics features were extracted from the early-phase (the 2nd phase) images of breast dynamic contrast-enhanced-MRI after neoadjuvant therapy.The four-step procedure was adopted for feature screening. The radiomics model was constructed by logistic regression. A combined model was constructed by integrating radiomics features and independent predictors. Two radiologists (Reader 1 with 10 years experience and Reader 2 with 13 years experience) who major in breast MRI visually evaluated the pCR status of breast cancer after neoadjuvant therapy. The receiver operating characteristic curve and area under the curve (AUC) were used to evaluate the efficacy of Reader 1, Reader 2, the radiomics model, and the combined model in predicting pCR status. The Hosmer-Lemeshow goodness-of-fit test was used to evaluate the calibration of the model.Results:Among 243 HER-2 positive breast cancer patients, totally 118 achieved pCR. In clinical and pathological features, HER-2 3+ was an independent predictor of pCR ( OR=2.71, 95% CI 1.03?7.12, P=0.043). In the training set and validation set, the AUCs of the radiomics model in predicting pCR status were 0.899 and 0.853, respectively.The AUCs of the combined model were 0.917 and 0.890, respectively. In the validation set, the AUC value of the radiomics model in predicting pCR status was higher than that of Reader 1 and Reader 2. Hosmer-Lemeshow goodness-of-fit test showed that there was no significant difference between the prediction of pCR status by the combined model and radiomics model and the actual results in the training set and validation set, and the fitting was good ( P>0.05). Conclusion:The MRI-based radiomics model can be used to predict pCR status in HER-2 positive breast cancer and outperforms the visual qualitative assessments of radiologists.
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.Complement C3 is involved in the recruitment and activation of mast cells during renal interstitial fibrosis
Yanping FENG ; Zhenzhou LI ; Jiong CUI ; Xiaoting WU ; Liyan YANG ; Jianxin WAN
Chinese Journal of Nephrology 2024;40(12):952-960
Objective:To observe the role of complement C3 in the process of renal interstitial fibrosis.Methods:Renal interstitial fibrosis model was established by unilateral ureteral obstruction (UUO) in male C3-deficient (C3KO) mice and age-matched C57BL/6 wild type (WT) mice (8-12 weeks of age). Mice were randomly divided into 4 groups, including sham operation in WT group (WTcontrol) ( n=6), UUO operation in WT group (WTuuo) ( n=6), sham operation in C3-deficient group (C3KOcontrol) ( n=6), and UUO operation in C3-deficient group (C3KOuuo) ( n=6). Tubular interstitial fibrosis was observed by both HE staining and Masson staining. The expression of C3, trypsin (tryptase), angiotensinⅡ (AngⅡ), transforming growth factor β1 (TGF-β1), and matrix metalloproteinase-9 (MMP-9) was detected by immunohistochemical staining. Chymase level were assessed by immunofluorescence staining. The levels of AngⅡ and C3 cleavage fragments C3a and MMP-9 were determined by enzyme-linked immunosorbent assay. The change in renin mRNA was determined by real-time PCR. The changes of chymase, renin, and TGF-β1 were detected by Western blotting. Results:Compared with the WTcontrol group mice, the WTuuo group mice showed significant renal tubular injury, renal interstitial fibrosis, increased infiltration of mast cells, and significantly increased expression of C3, C3a, chymase, renin, AngⅡ, TGF-β1, and MMP-9 in the renal tissue (all P<0.05). Compared with the WTuuo group mice, the renal tubular injury and renal interstitial fibrosis in the C3KOuuo group mice were significantly reduced, and C3 and C3a were not detected in renal tissue. Mast cells infiltration was reduced, and the expression of chymase, renin, AngⅡ, TGF-β1, and MMP-9 was weakened (all P<0.05). Conclusion:C3/C3a can participate in the recruitment and activation of mast cells to release chymase in kidney interstitial fibrosis, and promote the expression of renin, AngⅡ, TGF-β1, MMP 9 and other substances, thus aggravating kidney injury.


Result Analysis
Print
Save
E-mail