1.Clinical Efficacy of Xiaoji Hufei Formula in Protecting Children with Close Contact Exposure to Influenza: A Multicenter,Prospective, Non-randomized, Parallel, Controlled Trial
Jing WANG ; Jianping LIU ; Tiegang LIU ; Hong WANG ; Yingxin FU ; Jing LI ; Huaqing TAN ; Yingqi XU ; Yanan MA ; Wei WANG ; Jia WANG ; Haipeng CHEN ; Yuanshuo TIAN ; Yang WANG ; Chen BAI ; Zhendong WANG ; Qianqian LI ; He YU ; Xueyan MA ; Fei DONG ; Liqun WU ; Xiaohong GU
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(21):223-230
ObjectiveTo evaluate the efficacy and safety of Xiaoji Hufei Formula in protecting children with close contact exposure to influenza, and to provide reference and evidence-based support for better clinical prevention and treatment of influenza in children. MethodsA multicenter, prospective, non-randomized, parallel, controlled trial was conducted from October 2021 to May 2022 in five hospitals, including Dongfang Hospital of Beijing University of Chinese Medicine. Confirmed influenza cases and influenza-like illness (ILI) cases were collected, and eligible children with close contact exposure to these cases were recruited in the outpatient clinics. According to whether the enrolled close contacts were willing to take Xiaoji Hufei formula for influenza prevention, they were assigned to the observation group (108 cases) or the control group (108 cases). Follow-up visits were conducted on days 7 and 14 after enrollment. The primary outcomes were the incidence of ILI and the rate of laboratory-confirmed influenza. Secondary outcomes included traditional Chinese medicine (TCM) symptom score scale for influenza, influenza-related emergency (outpatient) visit rate, influenza hospitalization rate, and time to onset after exposure to influenza cases. ResultsA total of 216 participants were enrolled, with 108 in the observation group and 108 in the control group. Primary outcomes: (1) Incidence of ILI: The incidence was 12.0% (13/108) in the observation group and 23.1% (25/108) in the control group, with the observation group showing a significantly lower incidence (χ2=4.6, P<0.05). (2) Influenza confirmation rate: 3.7% (4/108) in the observation group and 4.6% (5/108) in the control group, with no statistically significant difference. Secondary outcomes: (1) TCM symptom score scale: after onset, nasal congestion and runny nose scores differed significantly between the two groups (P<0.05), while other symptoms such as fever, sore throat, and cough showed no significant differences. (2) Influenza-related emergency (outpatient) visit rate: 84.6% (11 cases) in the observation group and 96.0% (24 cases) in the control group, with no significant difference. (3) Time to onset after exposure: The median onset time after exposure to index patients was 7 days in the observation group and 4 days in the control group, with a statistically significant difference (P<0.05). ConclusionIn previously healthy children exposed to infectious influenza cases under unprotected conditions, Xiaoji Hufei formula prophylaxis significantly reduced the incidence of ILI. Xiaoji Hufei Formula can be recommended as a specific preventive prescription for influenza in children.
2.Clinical Efficacy of Xiaoji Hufei Formula in Protecting Children with Close Contact Exposure to Influenza: A Multicenter,Prospective, Non-randomized, Parallel, Controlled Trial
Jing WANG ; Jianping LIU ; Tiegang LIU ; Hong WANG ; Yingxin FU ; Jing LI ; Huaqing TAN ; Yingqi XU ; Yanan MA ; Wei WANG ; Jia WANG ; Haipeng CHEN ; Yuanshuo TIAN ; Yang WANG ; Chen BAI ; Zhendong WANG ; Qianqian LI ; He YU ; Xueyan MA ; Fei DONG ; Liqun WU ; Xiaohong GU
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(21):223-230
ObjectiveTo evaluate the efficacy and safety of Xiaoji Hufei Formula in protecting children with close contact exposure to influenza, and to provide reference and evidence-based support for better clinical prevention and treatment of influenza in children. MethodsA multicenter, prospective, non-randomized, parallel, controlled trial was conducted from October 2021 to May 2022 in five hospitals, including Dongfang Hospital of Beijing University of Chinese Medicine. Confirmed influenza cases and influenza-like illness (ILI) cases were collected, and eligible children with close contact exposure to these cases were recruited in the outpatient clinics. According to whether the enrolled close contacts were willing to take Xiaoji Hufei formula for influenza prevention, they were assigned to the observation group (108 cases) or the control group (108 cases). Follow-up visits were conducted on days 7 and 14 after enrollment. The primary outcomes were the incidence of ILI and the rate of laboratory-confirmed influenza. Secondary outcomes included traditional Chinese medicine (TCM) symptom score scale for influenza, influenza-related emergency (outpatient) visit rate, influenza hospitalization rate, and time to onset after exposure to influenza cases. ResultsA total of 216 participants were enrolled, with 108 in the observation group and 108 in the control group. Primary outcomes: (1) Incidence of ILI: The incidence was 12.0% (13/108) in the observation group and 23.1% (25/108) in the control group, with the observation group showing a significantly lower incidence (χ2=4.6, P<0.05). (2) Influenza confirmation rate: 3.7% (4/108) in the observation group and 4.6% (5/108) in the control group, with no statistically significant difference. Secondary outcomes: (1) TCM symptom score scale: after onset, nasal congestion and runny nose scores differed significantly between the two groups (P<0.05), while other symptoms such as fever, sore throat, and cough showed no significant differences. (2) Influenza-related emergency (outpatient) visit rate: 84.6% (11 cases) in the observation group and 96.0% (24 cases) in the control group, with no significant difference. (3) Time to onset after exposure: The median onset time after exposure to index patients was 7 days in the observation group and 4 days in the control group, with a statistically significant difference (P<0.05). ConclusionIn previously healthy children exposed to infectious influenza cases under unprotected conditions, Xiaoji Hufei formula prophylaxis significantly reduced the incidence of ILI. Xiaoji Hufei Formula can be recommended as a specific preventive prescription for influenza in children.
3.Real-time platelet P2Y12 receptor occupancy as a promising pharmacodynamics biomarker for bridging the gap between PK/PD of clopidogrel therapy.
Haipeng LI ; Yueming GU ; Yumeng ZHAO ; Aiyun XU ; Dong SUN ; Jingkai GU
Acta Pharmaceutica Sinica B 2025;15(1):484-493
Clopidogrel effectively inhibits platelet aggregation in response to ADP by irreversibly binding to the platelet P2Y12 receptor through its active metabolite. However, the observed discrepancies between the pharmacokinetics (PK) and pharmacodynamics (PD) of clopidogrel present substantial challenges in individualizing of antiplatelet therapy. To address these challenges, a robust liquid chromatography-tandem mass spectrometry method has been developed to facilitate the real-time assessment of platelet P2Y12 receptor occupancy. This method has been validated in animal models, providing a reliable link between individual PK profiles and PD effects. Target receptor occupancy offers a comprehensive overview of interindividual variations in clopidogrel metabolism, regulation of P2Y12 receptor expression, and platelet turnover. Moreover, it directly correlates with the inhibitory effect on platelet aggregation. The levels of platelet P2Y12 occupancy accurately reflect the extent of clinical factors influencing the PD of clopidogrel, including dosage, drug-drug interactions (DDI), and type 2 diabetes mellitus (T2DM). As a normalized metric, platelet P2Y12 occupancy not only serves potential as a diagnostic tool for personalized clopidogrel therapy but also aids in elucidating the role of the P2Y12 signaling pathway in cases of abnormal on-treatment platelet reactivity.
4.Clinical guideline for diagnosis and treatment of nonunion of osteoporotic vertebral fractures (version 2025)
Haipeng SI ; Le LI ; Junjie NIU ; Wencan ZHANG ; Fuxin WEI ; Jinqiu YUAN ; Qiang YANG ; Hongli WANG ; Guangchao WANG ; Shihong CHEN ; Yunzhen CHEN ; Xiaoguang CHENG ; Jianwen DONG ; Shiqing FENG ; Rui GU ; Yong HAI ; Tianyong HOU ; Bo HUANG ; Xiaobing JIANG ; Lei ZANG ; Chunhai LI ; Nianhu LI ; Hua LIN ; Hongjian LIU ; Peng LIU ; Xinyu LIU ; Sheng LU ; Shibao LU ; Chunshan LUO ; Lvy CHAOLIANG ; Lvy WEIJIA ; Xuexiao MA ; Wei MEI ; Chunyang MENG ; Cailiang SHEN ; Chunli SONG ; Ruoxian SONG ; Jiacan SU ; Honglin TENG ; Hui SHENG ; Beiyu WANG ; Bingwu WANG ; Liang WANG ; Xiangyang WANG ; Nan WU ; Guohua XU ; Yayi XIA ; Jin XU ; Youjia XU ; Jianzhong XU ; Cao YANG ; Maowei YANG ; Zibin YANG ; Xiaojian YE ; Hailong YU ; Xijie YU ; Hua YUE ; Zhili ZENG ; Xinli ZHAN ; Hui ZHANG ; Peixun ZHANG ; Wei ZHANG ; Zhenlin ZHANG ; Jianguo ZHANG ; Tengyue ZHU ; Qiang LIU ; Huilin YANG
Chinese Journal of Trauma 2025;41(10):932-945
Nonunion of osteoporotic vertebral fractures (OVF), predominantly affecting the elderly, can lead to intractable pain, vertebral collapse, progressive kyphotic deformity, and neurological impairment, significantly compromising patients′ quality of life. There exists considerable debate on diagnosis and management of OVF, encompassing key issues such as clinical diagnosis and staging criteria for nonunion, surgical indications and procedure selection, and postoperative rehabilitation planning. Currently, there lacks standardized clinical guideline and expert consensus on the diagnosis and management of OVF nonunion in China. To address this gap, Minimally Invasive Surgery Group of Chinese Orthopedic Association, Osteoporosis Committee of Chinese Association of Orthopedic Surgeons, Prevention and Rehabilitation Committee for Osteoporosis of Chinese Association of Rehabilitation Medicine and Minimally Invasive Orthopedic Surgery Branch of China Association for Geriatric Care jointly organized domestic experts in spinal surgery, endocrinology, and rehabilitation to formulate the Clinical guideline for the diagnosis and treatment for nonunion of osteoporotic vertebral fractures ( version 2025), based on existing literature and clinical experience and adhering to principles of scientific rigor and practicality. The guideline provided 13 evidence-based recommendations encompassing diagnosis and treatment of OVF nonunion, aiming to standardize its clinical management.
5.CT Skull Image Reconstruction Using Deep Learning Method Based on Magnetic Resonance Dixon Images:A Comparative Study
Hongfei ZHAO ; Haipeng DONG ; Qiong HUANG ; Yuan QU ; Keming LIU ; Xiaomeng WU ; Yurong SHANG ; Xiping CHEN
Chinese Journal of Medical Imaging 2025;33(4):428-432,438
Purpose Based on a variety of combinations of cranial MR Dixon images,the deep learning method is used to generate CT images,and the reconstruction efficiency is evaluated by comparing with the corresponding CT images.Materials and Methods A total of 77 cranial CT and MR images were collected retrospectively in Ruijin Hospital,Shanghai Jiaotong University School of Medicine from June to December 2021.The U-Net neural network was used for network training,with 62 cases in the training set and 15 cases in the test set.CT image reconstruction was performed using four kinds of Dixon images and a total of seven models among the various combinations.Mean absolute error,mean squared error,Pearson correlation coefficient and skull area Dice similarity coefficient were used to evaluate the image reconstruction efficiency.Results The generated CT images of the various Dixon image combination models showed strong correlation with the corresponding CT images(R>0.75,P<0.05),and the CT images reconstructed by the four-channel model had the closest value to the actual CT images[mean absolute error=147.516±30.802,mean squared error=(8.648±3.403)×104],the highest correlation coefficient(R=0.796±0.055),and the highest similarity coefficient in the cranial region(Dice similarity coefficient=0.800±0.036).Conclusion Deep learning training through Dixon images can be used to generate CT images,and the combination of four kinds of Dixon contrast images can improve the CT image reconstruction efficiency.
6.A randomized controlled trial on the efficacy of compound polyethylene glycol electrolyte powder com-bined with linaclotide for bowel preparation in elderly constipated patients before colonoscopy
Jianjun ZHANG ; Haipeng WANG ; Guangfeng DONG ; Ming CHEN ; Jinqi LIU ; Hao ZHANG ; Mingjuan SUN ; Meng LU ; Huizhuan ZHAI ; Xingguang HUANG ; Zengjun LI ; Dongyang WANG
The Journal of Practical Medicine 2025;41(19):2967-2971
Objective To evaluate the efficacy and safety of polyethylene glycol electrolyte powder(PEG)combined with linaclotide(Lin)for bowel preparation in elderly constipated patients before colonoscopy.Methods In this prospective,randomized controlled trial,90 elderly patients with constipation undergoing colonoscopy were recruited at our hospital from June 2022 to December 2023.Participants were randomly assigned to three groups(n=30 each):PEG-3L alone,PEG-3L+Lin,and PEG-2L+Lin.Primary outcome was Boston Bowel Preparation Scale(BBPS)score and secondary outcomes included adverse event rates,colonoscopy completion rate,withdrawal time,and polyp detection rate.Statistical analysis was performed using independent t-tests and chi-square tests.Results The PEG-3L+Lin group achieved significantly higher BBPS scores than both PEG-3L alone and PEG-2L+Lin groups did(both P<0.001).The PEG-2L+Lin group also outperformed the PEG-3L alone group in cleansing efficacy(90.0%vs.76.7%,P=0.008).The PEG-2L+Lin group demonstrated the best tolerability and lowest adverse event rate,the PEG-3L group had the longest withdrawal time(P<0.05),but the three groups showed no significant difference in polyp detection rates.Conclusion PEG combined with linaclotide significantly improves bowel cleansing in elderly constipated patients.PEG-2L+Lin regimen provides optimal balance between efficacy,safety,and tolerability,making it a preferable choice for this population.
7.A randomized controlled trial on the efficacy of compound polyethylene glycol electrolyte powder com-bined with linaclotide for bowel preparation in elderly constipated patients before colonoscopy
Jianjun ZHANG ; Haipeng WANG ; Guangfeng DONG ; Ming CHEN ; Jinqi LIU ; Hao ZHANG ; Mingjuan SUN ; Meng LU ; Huizhuan ZHAI ; Xingguang HUANG ; Zengjun LI ; Dongyang WANG
The Journal of Practical Medicine 2025;41(19):2967-2971
Objective To evaluate the efficacy and safety of polyethylene glycol electrolyte powder(PEG)combined with linaclotide(Lin)for bowel preparation in elderly constipated patients before colonoscopy.Methods In this prospective,randomized controlled trial,90 elderly patients with constipation undergoing colonoscopy were recruited at our hospital from June 2022 to December 2023.Participants were randomly assigned to three groups(n=30 each):PEG-3L alone,PEG-3L+Lin,and PEG-2L+Lin.Primary outcome was Boston Bowel Preparation Scale(BBPS)score and secondary outcomes included adverse event rates,colonoscopy completion rate,withdrawal time,and polyp detection rate.Statistical analysis was performed using independent t-tests and chi-square tests.Results The PEG-3L+Lin group achieved significantly higher BBPS scores than both PEG-3L alone and PEG-2L+Lin groups did(both P<0.001).The PEG-2L+Lin group also outperformed the PEG-3L alone group in cleansing efficacy(90.0%vs.76.7%,P=0.008).The PEG-2L+Lin group demonstrated the best tolerability and lowest adverse event rate,the PEG-3L group had the longest withdrawal time(P<0.05),but the three groups showed no significant difference in polyp detection rates.Conclusion PEG combined with linaclotide significantly improves bowel cleansing in elderly constipated patients.PEG-2L+Lin regimen provides optimal balance between efficacy,safety,and tolerability,making it a preferable choice for this population.
8.CT Skull Image Reconstruction Using Deep Learning Method Based on Magnetic Resonance Dixon Images:A Comparative Study
Hongfei ZHAO ; Haipeng DONG ; Qiong HUANG ; Yuan QU ; Keming LIU ; Xiaomeng WU ; Yurong SHANG ; Xiping CHEN
Chinese Journal of Medical Imaging 2025;33(4):428-432,438
Purpose Based on a variety of combinations of cranial MR Dixon images,the deep learning method is used to generate CT images,and the reconstruction efficiency is evaluated by comparing with the corresponding CT images.Materials and Methods A total of 77 cranial CT and MR images were collected retrospectively in Ruijin Hospital,Shanghai Jiaotong University School of Medicine from June to December 2021.The U-Net neural network was used for network training,with 62 cases in the training set and 15 cases in the test set.CT image reconstruction was performed using four kinds of Dixon images and a total of seven models among the various combinations.Mean absolute error,mean squared error,Pearson correlation coefficient and skull area Dice similarity coefficient were used to evaluate the image reconstruction efficiency.Results The generated CT images of the various Dixon image combination models showed strong correlation with the corresponding CT images(R>0.75,P<0.05),and the CT images reconstructed by the four-channel model had the closest value to the actual CT images[mean absolute error=147.516±30.802,mean squared error=(8.648±3.403)×104],the highest correlation coefficient(R=0.796±0.055),and the highest similarity coefficient in the cranial region(Dice similarity coefficient=0.800±0.036).Conclusion Deep learning training through Dixon images can be used to generate CT images,and the combination of four kinds of Dixon contrast images can improve the CT image reconstruction efficiency.
9.Clinical guideline for diagnosis and treatment of nonunion of osteoporotic vertebral fractures (version 2025)
Haipeng SI ; Le LI ; Junjie NIU ; Wencan ZHANG ; Fuxin WEI ; Jinqiu YUAN ; Qiang YANG ; Hongli WANG ; Guangchao WANG ; Shihong CHEN ; Yunzhen CHEN ; Xiaoguang CHENG ; Jianwen DONG ; Shiqing FENG ; Rui GU ; Yong HAI ; Tianyong HOU ; Bo HUANG ; Xiaobing JIANG ; Lei ZANG ; Chunhai LI ; Nianhu LI ; Hua LIN ; Hongjian LIU ; Peng LIU ; Xinyu LIU ; Sheng LU ; Shibao LU ; Chunshan LUO ; Lvy CHAOLIANG ; Lvy WEIJIA ; Xuexiao MA ; Wei MEI ; Chunyang MENG ; Cailiang SHEN ; Chunli SONG ; Ruoxian SONG ; Jiacan SU ; Honglin TENG ; Hui SHENG ; Beiyu WANG ; Bingwu WANG ; Liang WANG ; Xiangyang WANG ; Nan WU ; Guohua XU ; Yayi XIA ; Jin XU ; Youjia XU ; Jianzhong XU ; Cao YANG ; Maowei YANG ; Zibin YANG ; Xiaojian YE ; Hailong YU ; Xijie YU ; Hua YUE ; Zhili ZENG ; Xinli ZHAN ; Hui ZHANG ; Peixun ZHANG ; Wei ZHANG ; Zhenlin ZHANG ; Jianguo ZHANG ; Tengyue ZHU ; Qiang LIU ; Huilin YANG
Chinese Journal of Trauma 2025;41(10):932-945
Nonunion of osteoporotic vertebral fractures (OVF), predominantly affecting the elderly, can lead to intractable pain, vertebral collapse, progressive kyphotic deformity, and neurological impairment, significantly compromising patients′ quality of life. There exists considerable debate on diagnosis and management of OVF, encompassing key issues such as clinical diagnosis and staging criteria for nonunion, surgical indications and procedure selection, and postoperative rehabilitation planning. Currently, there lacks standardized clinical guideline and expert consensus on the diagnosis and management of OVF nonunion in China. To address this gap, Minimally Invasive Surgery Group of Chinese Orthopedic Association, Osteoporosis Committee of Chinese Association of Orthopedic Surgeons, Prevention and Rehabilitation Committee for Osteoporosis of Chinese Association of Rehabilitation Medicine and Minimally Invasive Orthopedic Surgery Branch of China Association for Geriatric Care jointly organized domestic experts in spinal surgery, endocrinology, and rehabilitation to formulate the Clinical guideline for the diagnosis and treatment for nonunion of osteoporotic vertebral fractures ( version 2025), based on existing literature and clinical experience and adhering to principles of scientific rigor and practicality. The guideline provided 13 evidence-based recommendations encompassing diagnosis and treatment of OVF nonunion, aiming to standardize its clinical management.
10.Evidence-based clinical guideline for the diagnosis and treatment of surgical site infection in spinal trauma (version 2024)
Zhu GUO ; Chao WANG ; Hongfei XIANG ; Zhongqiang CHEN ; Liang CHEN ; Tongwei CHU ; Shucai DENG ; Jian DONG ; Xinru DU ; Shiqing FENG ; Baorong HE ; Xijing HE ; Jianzhong HU ; Yong HAI ; Qingquan KONG ; Guiqing LIANG ; Qi LIAO ; Zhongjun LIU ; Shaoyu LIU ; Baoge LIU ; Xiaoguang LIU ; Weishi LI ; Li LI ; Fang LI ; Bin LIN ; Shibao LU ; Tao NIU ; Zhenli QIAO ; Dike RUAN ; Yueming SONG ; Haipeng SI ; Jun SHU ; Zhongyi SUN ; Qing WANG ; Zili WANG ; Huan WANG ; Hongli WANG ; Yan WANG ; Xiaolin WU ; Zhanyong WU ; Jinglong YAN ; Tengbo YU ; Qiang ZHANG ; Guoqing ZHANG ; Xuesong ZHANG ; Fengdong ZHAO ; Jie ZHAO ; Zhaomin ZHENG ; Qingsan ZHU ; Dingjun HAO ; Bohua CHEN
Chinese Journal of Trauma 2024;40(12):1057-1070
Spinal surgical site infection (SSI), especially deep SSI after internal fixation is difficult in treatment, with long course of disease and poor prognosis. At present, there are many controversies in the diagnosis and treatment of spinal SSI, with unsatisfactory overall efficacy of its diagnosis and treatment. Besides, no diagnosis and treatment guideline based on evidence-based medicine has been in existence. To this end, the Spinal Infection Group of the Orthopedic Branch of the Chinese Medical Doctor Association and the Spinal Infection Group of the Spinal Surgery Branch of the Chinese Rehabilitation Medicine Association jointly organized relevant experts to formulate Evidence-based clinical guideline for the diagnosis and treatment of surgical site infection in spinal trauma ( version 2024) based on an evidence-based approach. A total of 10 recommendations were proposed on the diagnosis and treatment of spinal SSI, so as to provide a clinical reference for the diagnosis and treatment of spinal SSI.

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