1.Research on the application value of peripheral blood parameters in the diagnosis of early-onset colorectal cancer
Wenxuan YAN ; Junhai ZHEN ; Wenhao SU ; Jixiang ZHANG ; Fei LIAO ; Weiguo DONG
Chinese Journal of Digestion 2025;45(4):256-265
Objective:To evaluate the value of peripheral blood systemic immune-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), carcinoembryonic antigen (CEA), D-dimer, and albumin (ALB) alone or their combination in the diagnosis of early-onset colorectal cancer (EOCRC).Methods:From January 1, 2023 to November 30, 2024, 104 patients with EOCRC (EOCRC group) hospitalized at Renmin Hospital of Wuhan University were enrolled. During the same period, by simple random sampling method, 104 patients with benign colorectal polyps (benign polyp group) and 104 healthy individuals for health examinations (healthy control group) from outpatient department were enrolled. The peripheral blood parameters (including neutrophil count, lymphocyte count, CEA, and others) and pathological characteristics of EOCRC (including TNM stage, tumor differentiation grade, and depth of invasion) were collected. The relationship between peripheral blood parameters and EOCRC pathological features were analyzed. Receiver operating characteristic curves (ROC) were plotted, and the area under the curve (AUC) was calculated to evaluate the diagnostic value. Multivariate logistic regression analysis was performed to analyze the peripheral blood parameters which independently correlated with EOCRC and a combined diagnostic model was established. Simple random sampling method was used to divide the subjects in the negative control group (healthy control group + benign polyp group) and positive group (EOCRC group) into a training set (218 cases) and a validation set (94 cases) at a ratio of 7∶3, and the diagnostic performance of the combined diagnostic model in the training and validation sets was assessed. Hosmer-Lemeshow test and calibration curve were used to evaluate the fit and consistency of the model. Independent sample t-test, one-way ANOVA, Mann-Whitney U test and Kruskal-Wallis H test were used for statistical analysis. Results:EOCRC group had the highest levels of SII(744.03 (473.01, 1 246.28), 437.77 (342.28, 607.47), 497.31 (385.76, 721.63)×10 9/L), NLR(2.42 (1.76, 3.94), 1.96 (1.54, 2.52), 1.91 (1.55, 2.75)), CEA (3.58 (1.96, 20.85), 1.31 (0.95, 1.93), 1.21 (0.76, 2.11) μg/L) and D-dimer (0.36 (0.20, 0.90), 0.19 (0.12, 0.28), 0.18 (0.12, 0.30) mg/L), and the lowest levels of LMR(3.51±1.56, 4.38±1.37, 4.72±1.84) and ALB(42.40 (39.90, 44.70), 44.57 (42.83, 46.25), 44.95 (43.10, 46.58) g/L) than benign polyp group and healthy control group, and the differences were statistically significant ( H=31.18, 16.21, 76.72 and 47.72, F=15.40, H=34.19; all P<0.001). In EOCRC patients, there were statistically significant differences in SII and LMR between patients with different tumor invasion depth ( Z=-2.48, t=2.31; both P<0.05), in CEA between patients with different TNM stage, with or without lymph node metastasis and distant metastasis( Z=-2.68, -2.50 and -2.65; all P<0.05), in D-dimer between patients with different TNM stage, differentiation grade, invasion depth, and with or without lymph node metastasis and distant metastasis ( Z=-2.50, -2.60, -2.06, -2.14 and -3.33; all P<0.05), and in ALB between patients with or without distant metastasis ( Z=-2.52, P=0.012).The AUC of combination of SII, NLR, LMR, CEA, D-dimer, and ALB in differential diagnosis of the healthy control group and the EOCRC group was 0.914 (95% confidence interval (95% CI): 0.870 to 0.958, P<0.001), and the AUC of the combination in differential diagnosis of the benign polyp group and the EOCRC group was 0.904 (95% CI: 0.857 to 0.950, P<0.001). The results of multivariate logistic regression analysis revealed that SII, NLR, LMR, CEA, and ALB were all independently correlated with EOCRC (all P<0.05). The diagnostic model for EOCRC was established by the combination of SII, NLR, LMR, CEA, and ALB, and the AUC of the model in the training set and validation set was 0.911 and 0.883, respectively. The Hosmer-Lemeshow goodness-of-fit test indicated good model fit ( P=0.437). Calibration curve analysis showed strong consistency between predicted probabilities and actual probabilities, and the mean absolute error was 0.015. Conclusions:SII, NLR, LMR, CEA, D-dimer, and ALB all demonstrate diagnostic value in the diagnosis of EOCRC. The combined diagnostic model based on SII, NLR, LMR, CEA, and ALB demonstrates excellent diagnostic performance, which may serve as an adjunctive diagnostic approach for EOCRC.
2.Guideline for Adult Weight Management in China
Weiqing WANG ; Qin WAN ; Jianhua MA ; Guang WANG ; Yufan WANG ; Guixia WANG ; Yongquan SHI ; Tingjun YE ; Xiaoguang SHI ; Jian KUANG ; Bo FENG ; Xiuyan FENG ; Guang NING ; Yiming MU ; Hongyu KUANG ; Xiaoping XING ; Chunli PIAO ; Xingbo CHENG ; Zhifeng CHENG ; Yufang BI ; Yan BI ; Wenshan LYU ; Dalong ZHU ; Cuiyan ZHU ; Wei ZHU ; Fei HUA ; Fei XIANG ; Shuang YAN ; Zilin SUN ; Yadong SUN ; Liqin SUN ; Luying SUN ; Li YAN ; Yanbing LI ; Hong LI ; Shu LI ; Ling LI ; Yiming LI ; Chenzhong LI ; Hua YANG ; Jinkui YANG ; Ling YANG ; Ying YANG ; Tao YANG ; Xiao YANG ; Xinhua XIAO ; Dan WU ; Jinsong KUANG ; Lanjie HE ; Wei GU ; Jie SHEN ; Yongfeng SONG ; Qiao ZHANG ; Hong ZHANG ; Yuwei ZHANG ; Junqing ZHANG ; Xianfeng ZHANG ; Miao ZHANG ; Yifei ZHANG ; Yingli LU ; Hong CHEN ; Li CHEN ; Bing CHEN ; Shihong CHEN ; Guiyan CHEN ; Haibing CHEN ; Lei CHEN ; Yanyan CHEN ; Genben CHEN ; Yikun ZHOU ; Xianghai ZHOU ; Qiang ZHOU ; Jiaqiang ZHOU ; Hongting ZHENG ; Zhongyan SHAN ; Jiajun ZHAO ; Dong ZHAO ; Ji HU ; Jiang HU ; Xinguo HOU ; Bimin SHI ; Tianpei HONG ; Mingxia YUAN ; Weibo XIA ; Xuejiang GU ; Yong XU ; Shuguang PANG ; Tianshu GAO ; Zuhua GAO ; Xiaohui GUO ; Hongyi CAO ; Mingfeng CAO ; Xiaopei CAO ; Jing MA ; Bin LU ; Zhen LIANG ; Jun LIANG ; Min LONG ; Yongde PENG ; Jin LU ; Hongyun LU ; Yan LU ; Chunping ZENG ; Binhong WEN ; Xueyong LOU ; Qingbo GUAN ; Lin LIAO ; Xin LIAO ; Ping XIONG ; Yaoming XUE
Chinese Journal of Endocrinology and Metabolism 2025;41(11):891-907
Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.
3.Research on the application value of peripheral blood parameters in the diagnosis of early-onset colorectal cancer
Wenxuan YAN ; Junhai ZHEN ; Wenhao SU ; Jixiang ZHANG ; Fei LIAO ; Weiguo DONG
Chinese Journal of Digestion 2025;45(4):256-265
Objective:To evaluate the value of peripheral blood systemic immune-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), carcinoembryonic antigen (CEA), D-dimer, and albumin (ALB) alone or their combination in the diagnosis of early-onset colorectal cancer (EOCRC).Methods:From January 1, 2023 to November 30, 2024, 104 patients with EOCRC (EOCRC group) hospitalized at Renmin Hospital of Wuhan University were enrolled. During the same period, by simple random sampling method, 104 patients with benign colorectal polyps (benign polyp group) and 104 healthy individuals for health examinations (healthy control group) from outpatient department were enrolled. The peripheral blood parameters (including neutrophil count, lymphocyte count, CEA, and others) and pathological characteristics of EOCRC (including TNM stage, tumor differentiation grade, and depth of invasion) were collected. The relationship between peripheral blood parameters and EOCRC pathological features were analyzed. Receiver operating characteristic curves (ROC) were plotted, and the area under the curve (AUC) was calculated to evaluate the diagnostic value. Multivariate logistic regression analysis was performed to analyze the peripheral blood parameters which independently correlated with EOCRC and a combined diagnostic model was established. Simple random sampling method was used to divide the subjects in the negative control group (healthy control group + benign polyp group) and positive group (EOCRC group) into a training set (218 cases) and a validation set (94 cases) at a ratio of 7∶3, and the diagnostic performance of the combined diagnostic model in the training and validation sets was assessed. Hosmer-Lemeshow test and calibration curve were used to evaluate the fit and consistency of the model. Independent sample t-test, one-way ANOVA, Mann-Whitney U test and Kruskal-Wallis H test were used for statistical analysis. Results:EOCRC group had the highest levels of SII(744.03 (473.01, 1 246.28), 437.77 (342.28, 607.47), 497.31 (385.76, 721.63)×10 9/L), NLR(2.42 (1.76, 3.94), 1.96 (1.54, 2.52), 1.91 (1.55, 2.75)), CEA (3.58 (1.96, 20.85), 1.31 (0.95, 1.93), 1.21 (0.76, 2.11) μg/L) and D-dimer (0.36 (0.20, 0.90), 0.19 (0.12, 0.28), 0.18 (0.12, 0.30) mg/L), and the lowest levels of LMR(3.51±1.56, 4.38±1.37, 4.72±1.84) and ALB(42.40 (39.90, 44.70), 44.57 (42.83, 46.25), 44.95 (43.10, 46.58) g/L) than benign polyp group and healthy control group, and the differences were statistically significant ( H=31.18, 16.21, 76.72 and 47.72, F=15.40, H=34.19; all P<0.001). In EOCRC patients, there were statistically significant differences in SII and LMR between patients with different tumor invasion depth ( Z=-2.48, t=2.31; both P<0.05), in CEA between patients with different TNM stage, with or without lymph node metastasis and distant metastasis( Z=-2.68, -2.50 and -2.65; all P<0.05), in D-dimer between patients with different TNM stage, differentiation grade, invasion depth, and with or without lymph node metastasis and distant metastasis ( Z=-2.50, -2.60, -2.06, -2.14 and -3.33; all P<0.05), and in ALB between patients with or without distant metastasis ( Z=-2.52, P=0.012).The AUC of combination of SII, NLR, LMR, CEA, D-dimer, and ALB in differential diagnosis of the healthy control group and the EOCRC group was 0.914 (95% confidence interval (95% CI): 0.870 to 0.958, P<0.001), and the AUC of the combination in differential diagnosis of the benign polyp group and the EOCRC group was 0.904 (95% CI: 0.857 to 0.950, P<0.001). The results of multivariate logistic regression analysis revealed that SII, NLR, LMR, CEA, and ALB were all independently correlated with EOCRC (all P<0.05). The diagnostic model for EOCRC was established by the combination of SII, NLR, LMR, CEA, and ALB, and the AUC of the model in the training set and validation set was 0.911 and 0.883, respectively. The Hosmer-Lemeshow goodness-of-fit test indicated good model fit ( P=0.437). Calibration curve analysis showed strong consistency between predicted probabilities and actual probabilities, and the mean absolute error was 0.015. Conclusions:SII, NLR, LMR, CEA, D-dimer, and ALB all demonstrate diagnostic value in the diagnosis of EOCRC. The combined diagnostic model based on SII, NLR, LMR, CEA, and ALB demonstrates excellent diagnostic performance, which may serve as an adjunctive diagnostic approach for EOCRC.
4.Guideline for Adult Weight Management in China
Weiqing WANG ; Qin WAN ; Jianhua MA ; Guang WANG ; Yufan WANG ; Guixia WANG ; Yongquan SHI ; Tingjun YE ; Xiaoguang SHI ; Jian KUANG ; Bo FENG ; Xiuyan FENG ; Guang NING ; Yiming MU ; Hongyu KUANG ; Xiaoping XING ; Chunli PIAO ; Xingbo CHENG ; Zhifeng CHENG ; Yufang BI ; Yan BI ; Wenshan LYU ; Dalong ZHU ; Cuiyan ZHU ; Wei ZHU ; Fei HUA ; Fei XIANG ; Shuang YAN ; Zilin SUN ; Yadong SUN ; Liqin SUN ; Luying SUN ; Li YAN ; Yanbing LI ; Hong LI ; Shu LI ; Ling LI ; Yiming LI ; Chenzhong LI ; Hua YANG ; Jinkui YANG ; Ling YANG ; Ying YANG ; Tao YANG ; Xiao YANG ; Xinhua XIAO ; Dan WU ; Jinsong KUANG ; Lanjie HE ; Wei GU ; Jie SHEN ; Yongfeng SONG ; Qiao ZHANG ; Hong ZHANG ; Yuwei ZHANG ; Junqing ZHANG ; Xianfeng ZHANG ; Miao ZHANG ; Yifei ZHANG ; Yingli LU ; Hong CHEN ; Li CHEN ; Bing CHEN ; Shihong CHEN ; Guiyan CHEN ; Haibing CHEN ; Lei CHEN ; Yanyan CHEN ; Genben CHEN ; Yikun ZHOU ; Xianghai ZHOU ; Qiang ZHOU ; Jiaqiang ZHOU ; Hongting ZHENG ; Zhongyan SHAN ; Jiajun ZHAO ; Dong ZHAO ; Ji HU ; Jiang HU ; Xinguo HOU ; Bimin SHI ; Tianpei HONG ; Mingxia YUAN ; Weibo XIA ; Xuejiang GU ; Yong XU ; Shuguang PANG ; Tianshu GAO ; Zuhua GAO ; Xiaohui GUO ; Hongyi CAO ; Mingfeng CAO ; Xiaopei CAO ; Jing MA ; Bin LU ; Zhen LIANG ; Jun LIANG ; Min LONG ; Yongde PENG ; Jin LU ; Hongyun LU ; Yan LU ; Chunping ZENG ; Binhong WEN ; Xueyong LOU ; Qingbo GUAN ; Lin LIAO ; Xin LIAO ; Ping XIONG ; Yaoming XUE
Chinese Journal of Endocrinology and Metabolism 2025;41(11):891-907
Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.
5.Identification of CMAs of Jianwei Xiaoshi Tablet granules based on QbD concept and construction of their predictive model.
Xin-Hao WAN ; Zhi-Jian ZHONG ; Qing TAO ; Zi-Qian WANG ; Jia-Li LIAO ; Dong-Yin YANG ; Ming YANG ; Xiao-Rong LUO ; Zhen-Feng WU
China Journal of Chinese Materia Medica 2024;49(24):6565-6573
Identification of critical material attributes(CMAs) is a key issue in the quality control of large-scale TCM products like Jianwei Xiaoshi Tablets. This study focuses on the granules of Jianwei Xiaoshi Tablets, using tablet tensile strength as the primary quality attribute. A method for identifying the CMAs and a design space for the granules were established, along with a predictive model for the granule CMAs based on Fourier transform near-infrared spectroscopy(FT-NIR). First, granules of Jianwei Xiaoshi Tablets with different properties were prepared using a partial factorial design method from the design of experiments(DOE). The powder properties of the granules were measured. An orthogonal partial least squares(OPLS) model was established to correlate the powder properties with tensile strength. Based on the characteristics of the comprehensive variables extracted by OPLS, the independent variables with the greatest explanatory power for tensile strength were identified. FT-NIR technology was then employed to establish a predictive model for the granule CMAs. The final CMAs identified were hygroscopicity, moisture content, D_(50), collapse angle, mass flow rate, and tapped density. The coefficients of determination of the prediction set(R■) and relative percentage deviation(RPD) of the prediction set for flowability, D_(50), and moisture content were 0.891, 0.994, and 0.998; and 2.97, 12.4, and 20.7, respectively. The established OPLS model clearly identified the impact of various factors on tensile strength, demonstrating good fit results. The model exhibited high prediction accuracy and can be used for the rapid and accurate determination of CMAs in granules of Jianwei Xiaoshi Tablets.
Drugs, Chinese Herbal/chemistry*
;
Tablets/chemistry*
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Tensile Strength
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Quality Control
;
Spectroscopy, Fourier Transform Infrared
;
Spectroscopy, Near-Infrared
6.Clinical characteristics of patients with MitraClip operation and predictors for the occurrence of afterload mismatch
Xiao-Dong ZHUANG ; Han WEN ; Ri-Hua HUANG ; Xing-Hao XU ; Shao-Zhao ZHANG ; Zhen-Yu XIONG ; Xin-Xue LIAO
Chinese Journal of Interventional Cardiology 2024;32(10):562-568
Objective To explore the risk factors related to afterload mismatch(AM)after transcatheter mitral valve repair(MitraClip).Methods This was a retrospective cohort study.48 patients hospitalized in the Department of Cardiovascular Medicine,the First Affiliated Hospital of Sun Yat-sen University from December 2021 to December 2023,who underwent MitraClip due to severe mitral regurgitation(MR)were included.Preoperative clinical data,laboratory tests,and preoperative and postoperative color Doppler echocardiographic examination results of surgical patients were collected.AM was defined as the left ventricular ejection fraction(LVEF)decreased by 15%or more after surgery compared with the one before(dLVEF≤-15%).Patients were divided into AM group and non-AM group according to whether afterload mismatch occurred.Univariate and multivariate logistic regression were used to analyze the risk factors of postoperative AM.Results Among 48 patients who underwent MitraClip,14 of them(29.2%)developed afterload-mismatched.For those without AM,their overall LVEF was improved after the operation;for patients in both AM group and non-AM group,their overall left ventricular end-diastolic diameter(LVEDd),left ventricular end-diastolic diameter volume index(LVEDVi)was reduced compared with the preoperative ones.Univariate regression analysis showed that C-reactive protein levels(OR 1.98,95%CI 1.02-3.83),platelets(OR 2.22,95%CI 1.08-4.53),systemic immune inflammation index(OR 1.96,95%CI 1.03-3.71)were associated with an increased risk of AM in patients undergoing MitraClip(all P<0.05),while those with larger right atrial diameter(OR 0.35,95%CI 0.13-0.93)or moderate to severe tricuspid regurgitation(OR 0.19,95%CI 0.05-0.81)were less likely to develop into AM(both P<0.05),which is still satisfied after adjustment.Conclusions For patients who underwent MitraClip,C-reactive protein levels,platelets and systemic immune inflammation index(SII)are associated with an increased risk of afterload mismatched,while those with larger right atrial diameter or moderate to severe tricuspid regurgitation were less likely to develop into AM.
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.Diagnosis and treatment status of perioperative anemia in patients with gastrointestinal neoplasms: a multi-center study in Hubei Province.
Peng ZHANG ; Cong Qing JIANG ; Zhi Guo XIONG ; Yong Bin ZHENG ; Ying Feng FU ; Xin Ming LI ; Dian Fu PANG ; Xiao Feng LIAO ; Xin TONG ; Huan Ming ZHU ; Zhen Hua YANG ; Guang Wei GONG ; Xiao Ping YIN ; Dong Liang LI ; Hong Jun LI ; Hong Liu CHEN ; Xue Feng JIANG ; Zhi Jun HE ; Yan Jun LU ; Xiao Ming SHUAI ; Jin Bo GAO ; Kai Lin CAI ; Kai Xiong TAO
Chinese Journal of Surgery 2022;60(1):32-38
Objective: To investigate the incidence and treatment of perioperative anemia in patients with gastrointestinal neoplasms in Hubei Province. Methods: The clinicopathological data of 7 474 patients with gastrointestinal neoplasms in 62 hospitals in 15 cities (state) of Hubei Province in 2019 were collected in the form of network database. There were 4 749 males and 2 725 females. The median age of the patients was 62 years (range: 17 to 96 years). The hemoglobin value of the first time in hospital and the first day after operation was used as the criterion of preoperative anemia and postoperative anemia. Anemia was defined as male hemoglobin <120 g/L and female hemoglobin <110.0 g/L, mild anemia as 90 to normal, moderate anemia as 60 to <90 g/L, severe anemia as <60 g/L. The t test and χ2 test were used for inter-group comparison. Results: The overall incidence of preoperative anemia was 38.60%(2 885/7 474), and the incidences of mild anemia, moderate anemia and severe anemia were 25.09%(1 875/7 474), 11.37%(850/7 474) and 2.14%(160/7 474), respectively. The overall incidence of postoperative anemia was 61.40%(4 589/7 474). The incidence of mild anemia, moderate anemia and severe anemia were 48.73%(3 642/7 474), 12.20%(912/7 474) and 0.47%(35/7 474), respectively. The proportion of preoperative anemia patients receiving treatment was 26.86% (775/2 885), and the proportion of postoperative anemia patients receiving treatment was 14.93% (685/4 589). The proportions of preoperative anemia patients in grade ⅢA, grade ⅢB, and grade ⅡA hospitals receiving treatment were 26.12% (649/2 485), 32.32% (85/263), and 29.93% (41/137), and the proportions of postoperative anemia patients receiving treatment were 14.61% (592/4 052), 22.05% (73/331), and 9.71% (20/206). The proportion of intraoperative blood transfusion (16.74% (483/2 885) vs. 3.05% (140/4 589), χ²=434.555, P<0.01) and the incidence of postoperative complications (17.78% (513/2 885) vs. 14.08% (646/4 589), χ²=18.553, P<0.01) in the preoperative anemia group were higher than those in the non-anemia group, and the postoperative hospital stay in the preoperative anemia group was longer than that in the non-anemia group ((14.1±7.3) days vs. (13.3±6.2) days, t=5.202, P<0.01). Conclusions: The incidence of perioperative anemia in patients with gastrointestinal neoplasms is high. Preoperative anemia can increase the demand for intraoperative blood transfusion and affect the short-term prognosis of patients. At present, the concept of standardized treatment of perioperative anemia among gastrointestinal surgeons in Hubei Province needs to be improved.
Adolescent
;
Adult
;
Aged
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Aged, 80 and over
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Anemia/epidemiology*
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Blood Transfusion
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Female
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Gastrointestinal Neoplasms/surgery*
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Humans
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Length of Stay
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Male
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Middle Aged
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Retrospective Studies
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Treatment Outcome
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Young Adult
9.Comprehensive evaluation of postoperative morphological and functional satisfaction of secondary cleft lip rhinoplasty in Chinese Han population
Yuan LIAO ; Baicheng WANG ; Mengying JIN ; Yonghuan ZHEN ; Bolin PAN ; Hongyu XUE ; Dong LI ; Zhenmin ZHAO ; Yang AN
Chinese Journal of Medical Aesthetics and Cosmetology 2022;28(3):172-176
Objective:To evaluate the improvement of nasal appearance, symptoms and psychological burden in patients with secondary cleft rhinoplasty by using retrospective research methods, through preoperative and postoperative questionnaires.Methods:Twenty-three cleft lip patients that underwent surgery in our unit since April 2016 were enrolled in this study. The self-designed questionnaire was used to explore the changes of patients before and after the operation. The questionnaire star was utilized to collect the data, and after the data was sorted and summarized, SPSS 20.0 was used for analysis and statistics.Results:The average follow-up time was 28.9 months. The total score of ROE satisfaction before surgery was 46.74 points, while after surgery it reached 63.04 points ( t=4.10, P<0.01); the self-scores of nasal shape were significantly improved after surgery; but there was no significant change in the ventilation function in the VAS scale before and after the operation; the nasal symptoms and psychological status in the SNOT-22 questionnaire, such as, nasal congestion, embarrassment, depression, restlessness and irritability, were significantly improved ( P<0.05). Conclusions:Our semi-autonomous designed questionnaire can be used to effectively evaluate the satisfaction, nasal shape, and symptoms of patients with nasal deformity secondary to cleft lip. Data analysis shows that our secondary cleft lip rhinoplasty for cleft lip and palate can improve patients′ satisfaction after the repair, as well as nose shape and function, at the same time the psychological burden caused by it.
10.Comparison of Application of MD-VF-Auto SEM Method and Plankton Gene Multiplex PCR System in the Diagnosis of Drowning.
Jian-Miao ZHANG ; Tian-Chun LIN ; Zhen-Yu LIAO ; Yu-Kun DU ; Zhong-Hao YU ; Jing-Jian LIU ; Sai-Qun WU ; Xiao-Dong KANG ; Qu-Yi XU ; He SHI ; Jian ZHAO ; Chao LIU ; Dang-En GU
Journal of Forensic Medicine 2022;38(1):114-118
OBJECTIVES:
To compare the application effect of microwave digestion - vacuum filtration - automated scanning electron microscopy (MD-VF-Auto SEM) method and plankton gene multiplex PCR system in the diagnosis of drowning.
METHODS:
Lung, liver and kidney tissue of 10 non-drowning cases and 50 drowning cases were prepared for further MD-VF-Auto SEM method analysis and plankton gene multiplex PCR system analysis. The positive detection rate of the two methods in each tissue was calculated.
RESULTS:
The positive rate of the MD-VF-Auto SEM method detecting diatoms in drowning cases was 100%, and few diatoms were detected in the liver and kidney tissues of 6 non-drowning cases. By using the plankton gene multiplex PCR system, the diatom positive rate of drowning cases was 84%, and all the non-drowning cases were negative. There were significant differences in the positive rate of the liver, kidney tissues between MD-VF-Auto SEM method and plankton gene multiplex PCR system (P<0.05), as well as the total positive rate of cases. However, no significant differences were found in the positive rates of lung tissues (P>0.05).
CONCLUSIONS
MD-VF-Auto SEM method is more sensitive than plankton gene multiplex PCR system in diatom test. But the plankton gene multiplex PCR system can also detect plankton other than diatoms. Combination of the two methods can provide a more reliable basis for the diagnosis of drowning.
Diatoms/genetics*
;
Drowning/diagnosis*
;
Humans
;
Liver
;
Lung
;
Microscopy, Electron, Scanning
;
Multiplex Polymerase Chain Reaction
;
Plankton/genetics*

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