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.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
4.Clinical and neurophysiological characteristics of epilepsy with blink inducing
Yanan YANG ; Xiaoli WANG ; Xinbo ZHANG ; Ye TIAN ; Yonghong LIU
Chinese Journal of Neurology 2024;57(2):118-122
Objective:To summarize the clinical and neurophysiological characteristics of epilepsy with blink inducing.Methods:The patients with epilepsy with blink test positive who received 24 h-video-electroencephalography (24 h-VEEG) monitoring from May 2017 to May 2022 in the Xijing Hospital, the Air Force Military Medical University were enrolled. Their clinical and electrophysiological characteristics were studied and they were followed up to observe their prognosis.Results:A total of 42 patients with epilepsy with blink test positive were collected, 1 of whom was lost to follow-up. The remaining 41 patients included 18 males (44%) and 23 females (56%), whose age was 3 to 12 (8.1±2.6) years. Self-limited epilepsy with centrotemporal spikes (SeLECTS) was diagnosed in 35 patients, self-limited epilepsy with autonomic seizures in 3, and developmental epileptic encephalopathy with spike-and-wave activation in sleep in 3, respectively. The electrical status epilepticus during sleep (ESES) was found in 31 patients (76%), whereas 10 (24%) without ESES. Thirty-two patients experienced 24 h-VEEG monitoring more than twice, and 23 of them were seizure free, of whom blink inducing disappeared in 14 patients and existed in 9 in the last 24 h-VEEG monitoring. Among the 9 patients who were not seizure free, blink inducing disappeared in 3 patients and remained in 6. There was no statistically significant difference between the two groups ( P>0.05). The age of the patients whose blink inducing disappeared in the last 24 h-VEEG monitoring after treatment was (11.3±3.1) years. Meanwhile the age of the patients whose blink inducing remained was (9.1±2.3) years, and the difference between the two groups was statistically significant ( t=2.254, P=0.030). Conclusions:Blink inducing is highly age-dependent and common in self-limited focal epilepsy and developmental epileptic encephalopathy, especially in SeLECTS. Moreover, patients with ESES are more likely to be blink test positive. There was no correlation between blink inducing and seizure outcome.
5.Analysis of factors affecting the detection of urinary stone using virtual unenhanced images derived from dual-energy CTU
Yannan CHENG ; Yanan LI ; Jingtao SUN ; Qian TIAN ; Jian YANG ; Wei TONG ; Jian YANG ; Jianxin GUO
Journal of Xi'an Jiaotong University(Medical Sciences) 2024;45(4):535-541
Objective To evaluate the factors affecting urinary stone detection rate using virtual unenhanced(VUE)images obtained from triphasic dual-energy CT urography(DECTU)based on Logistic regression analysis.Methods For this study,150 patients who had suspected urinary stone and underwent triphasic DECTU were included.The true unenhanced(TUE)images were reconstructed as 120 kVp-like images,and VUE images at the portal venous phase[VUE(VP)]and excretory phase[VUE(EP)]were obtained using iodine removal technique from portal venous and excretory phase DECTU images,respectively.Two readers independently evaluated the above three types of images,and recorded the number of urinary stones,their anatomical locations,and whether there was residual iodine on the VUE images.Stone size and CT number were recorded only on the TUE images.Stone size,CT number,anatomical location,and iodine contrast agent were included in univariate and multivariate Logistic regression analyses to evaluate the factors affecting urinary stone detection rate using VUE images.Thresholds for detecting urinary stones on VUE images were determined using receiver operating characteristics(ROC)analysis.Results We detected 304 stones on TUE images,while the detection rates were 92.4%and 71.4%when using VUE(VP)and VUE(EP)images,respectively.Stone size and CT number were important factors influencing urinary stone detection rate using VUE(VP)and VUE(EP)images(P<0.01).The area under curve(AUC)of using stone size and CT number for detecting stones using the VUE(VP)images was up to 0.96,and as threshold values,stones with size larger than 3.52 mm and CT number greater than 469 HU were found to have high accuracy.However,the AUC decreased to 0.88 when we combined stone size,CT number and anatomical location using the VUE(EP)images.In addition,different contrast agents did not affect the detection rate of stones on the VUE(EP)images(P=0.57).The stone detection rate in the kidney was significantly lower than those on the VUE(EP)images(P<0.001).Conclusion VUE(VP)images provide better stone detection.Stone size and CT number have significant impacts on the stone detection rate using VUE images.The lower stone detection rate in the kidney on the VUE(EP)images is related to the residual iodine.
6.Construction of Performance Evaluation Index System for Public Hospitals Based on Performance Prism Model
Aide XU ; Jia LIU ; Yanan CHANG ; Liqi TIAN
Chinese Hospital Management 2024;44(10):38-42
Objective To construct the performance evaluation index system of public hospitals,and provide reference for promoting the high-quality development of public hospitals.Methods Delphi method and analytic hierarchy process were used to determine the performance evaluation index system of public hospitals based on performance prism model.Results It established a public hospital performance evaluation system including 5 first-level indicators,16 second-level indicators and 40 third-level indicators of government,staff,patients,suppliers and regulatory agencies.The weights of the five first-level indicators are 0.254 8,0.476 8,0.154 4,0.073 4 and 0.040 6,respectively.Among the 16 second-level indicators,salary,quality and safety,practice environment,medical quality and operation efficiency rank the top 5.The combined weights were 0.268 5,0.174 3,0.165 4,0.080 9 and 0.060 6,respectively.Among the 40 tertiary indicators,the satisfaction of medical staff,the quality control index of single disease,organizational support,the intensity of antibacterial drug use and the case mortality of the low-risk group were investigated.The combined weights were 0.212 0,0.110 0,0.107 0,0.064 3 and 0.0624,respectively.Conclusion The performance evaluation index system of public hospitals based on the performance prism model established is helpful to guide hospitals to think about hospital strategic reform,process optimization and capacity improvement from the multi-dimensional perspective of internal and external stakeholders,so as to improve development performance and promote social harmonious development,and to improve performance,promote high-quality development.
7.Construction of Performance Evaluation Index System for Public Hospitals Based on Performance Prism Model
Aide XU ; Jia LIU ; Yanan CHANG ; Liqi TIAN
Chinese Hospital Management 2024;44(10):38-42
Objective To construct the performance evaluation index system of public hospitals,and provide reference for promoting the high-quality development of public hospitals.Methods Delphi method and analytic hierarchy process were used to determine the performance evaluation index system of public hospitals based on performance prism model.Results It established a public hospital performance evaluation system including 5 first-level indicators,16 second-level indicators and 40 third-level indicators of government,staff,patients,suppliers and regulatory agencies.The weights of the five first-level indicators are 0.254 8,0.476 8,0.154 4,0.073 4 and 0.040 6,respectively.Among the 16 second-level indicators,salary,quality and safety,practice environment,medical quality and operation efficiency rank the top 5.The combined weights were 0.268 5,0.174 3,0.165 4,0.080 9 and 0.060 6,respectively.Among the 40 tertiary indicators,the satisfaction of medical staff,the quality control index of single disease,organizational support,the intensity of antibacterial drug use and the case mortality of the low-risk group were investigated.The combined weights were 0.212 0,0.110 0,0.107 0,0.064 3 and 0.0624,respectively.Conclusion The performance evaluation index system of public hospitals based on the performance prism model established is helpful to guide hospitals to think about hospital strategic reform,process optimization and capacity improvement from the multi-dimensional perspective of internal and external stakeholders,so as to improve development performance and promote social harmonious development,and to improve performance,promote high-quality development.
8.Construction of Performance Evaluation Index System for Public Hospitals Based on Performance Prism Model
Aide XU ; Jia LIU ; Yanan CHANG ; Liqi TIAN
Chinese Hospital Management 2024;44(10):38-42
Objective To construct the performance evaluation index system of public hospitals,and provide reference for promoting the high-quality development of public hospitals.Methods Delphi method and analytic hierarchy process were used to determine the performance evaluation index system of public hospitals based on performance prism model.Results It established a public hospital performance evaluation system including 5 first-level indicators,16 second-level indicators and 40 third-level indicators of government,staff,patients,suppliers and regulatory agencies.The weights of the five first-level indicators are 0.254 8,0.476 8,0.154 4,0.073 4 and 0.040 6,respectively.Among the 16 second-level indicators,salary,quality and safety,practice environment,medical quality and operation efficiency rank the top 5.The combined weights were 0.268 5,0.174 3,0.165 4,0.080 9 and 0.060 6,respectively.Among the 40 tertiary indicators,the satisfaction of medical staff,the quality control index of single disease,organizational support,the intensity of antibacterial drug use and the case mortality of the low-risk group were investigated.The combined weights were 0.212 0,0.110 0,0.107 0,0.064 3 and 0.0624,respectively.Conclusion The performance evaluation index system of public hospitals based on the performance prism model established is helpful to guide hospitals to think about hospital strategic reform,process optimization and capacity improvement from the multi-dimensional perspective of internal and external stakeholders,so as to improve development performance and promote social harmonious development,and to improve performance,promote high-quality development.
9.Construction of Performance Evaluation Index System for Public Hospitals Based on Performance Prism Model
Aide XU ; Jia LIU ; Yanan CHANG ; Liqi TIAN
Chinese Hospital Management 2024;44(10):38-42
Objective To construct the performance evaluation index system of public hospitals,and provide reference for promoting the high-quality development of public hospitals.Methods Delphi method and analytic hierarchy process were used to determine the performance evaluation index system of public hospitals based on performance prism model.Results It established a public hospital performance evaluation system including 5 first-level indicators,16 second-level indicators and 40 third-level indicators of government,staff,patients,suppliers and regulatory agencies.The weights of the five first-level indicators are 0.254 8,0.476 8,0.154 4,0.073 4 and 0.040 6,respectively.Among the 16 second-level indicators,salary,quality and safety,practice environment,medical quality and operation efficiency rank the top 5.The combined weights were 0.268 5,0.174 3,0.165 4,0.080 9 and 0.060 6,respectively.Among the 40 tertiary indicators,the satisfaction of medical staff,the quality control index of single disease,organizational support,the intensity of antibacterial drug use and the case mortality of the low-risk group were investigated.The combined weights were 0.212 0,0.110 0,0.107 0,0.064 3 and 0.0624,respectively.Conclusion The performance evaluation index system of public hospitals based on the performance prism model established is helpful to guide hospitals to think about hospital strategic reform,process optimization and capacity improvement from the multi-dimensional perspective of internal and external stakeholders,so as to improve development performance and promote social harmonious development,and to improve performance,promote high-quality development.
10.Construction of Performance Evaluation Index System for Public Hospitals Based on Performance Prism Model
Aide XU ; Jia LIU ; Yanan CHANG ; Liqi TIAN
Chinese Hospital Management 2024;44(10):38-42
Objective To construct the performance evaluation index system of public hospitals,and provide reference for promoting the high-quality development of public hospitals.Methods Delphi method and analytic hierarchy process were used to determine the performance evaluation index system of public hospitals based on performance prism model.Results It established a public hospital performance evaluation system including 5 first-level indicators,16 second-level indicators and 40 third-level indicators of government,staff,patients,suppliers and regulatory agencies.The weights of the five first-level indicators are 0.254 8,0.476 8,0.154 4,0.073 4 and 0.040 6,respectively.Among the 16 second-level indicators,salary,quality and safety,practice environment,medical quality and operation efficiency rank the top 5.The combined weights were 0.268 5,0.174 3,0.165 4,0.080 9 and 0.060 6,respectively.Among the 40 tertiary indicators,the satisfaction of medical staff,the quality control index of single disease,organizational support,the intensity of antibacterial drug use and the case mortality of the low-risk group were investigated.The combined weights were 0.212 0,0.110 0,0.107 0,0.064 3 and 0.0624,respectively.Conclusion The performance evaluation index system of public hospitals based on the performance prism model established is helpful to guide hospitals to think about hospital strategic reform,process optimization and capacity improvement from the multi-dimensional perspective of internal and external stakeholders,so as to improve development performance and promote social harmonious development,and to improve performance,promote high-quality development.

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