1.Expert consensus on evaluation index system construction for new traditional Chinese medicine(TCM) from TCM clinical practice in medical institutions.
Li LIU ; Lei ZHANG ; Wei-An YUAN ; Zhong-Qi YANG ; Jun-Hua ZHANG ; Bao-He WANG ; Si-Yuan HU ; Zu-Guang YE ; Ling HAN ; Yue-Hua ZHOU ; Zi-Feng YANG ; Rui GAO ; Ming YANG ; Ting WANG ; Jie-Lai XIA ; Shi-Shan YU ; Xiao-Hui FAN ; Hua HUA ; Jia HE ; Yin LU ; Zhong WANG ; Jin-Hui DOU ; Geng LI ; Yu DONG ; Hao YU ; Li-Ping QU ; Jian-Yuan TANG
China Journal of Chinese Materia Medica 2025;50(12):3474-3482
Medical institutions, with their clinical practice foundation and abundant human use experience data, have become important carriers for the inheritance and innovation of traditional Chinese medicine(TCM) and the "cradles" of the preparation of new TCM. To effectively promote the transformation of new TCM originating from the TCM clinical practice in medical institutions and establish an effective evaluation index system for the transformation of new TCM conforming to the characteristics of TCM, consensus experts adopted the literature research, questionnaire survey, Delphi method, etc. By focusing on the policy and technical evaluation of new TCM originating from the TCM clinical practice in medical institutions, a comprehensive evaluation from the dimensions of drug safety, efficacy, feasibility, and characteristic advantages was conducted, thus forming a comprehensive evaluation system with four primary indicators and 37 secondary indicators. The expert consensus reached aims to encourage medical institutions at all levels to continuously improve the high-quality research and development and transformation of new TCM originating from the TCM clinical practice in medical institutions and targeted at clinical needs, so as to provide a decision-making basis for the preparation, selection, cultivation, and transformation of new TCM for medical institutions, improve the development efficiency of new TCM, and precisely respond to the public medication needs.
Medicine, Chinese Traditional/standards*
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Humans
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Consensus
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Drugs, Chinese Herbal/therapeutic use*
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Surveys and Questionnaires
2.Quality evaluation of Bidentis Herba derived from different original plants based on HPLC fingerprints, characteristic chromatograms, multi-component content determination combined with chemical pattern recognition.
Guo-Li SHI ; Yun MA ; Feng-Xia SHEN ; Han-Wen DU ; Cong-Min LIU ; Rui-Xia WEI ; Yan-Fang LI ; Jian-Wei FAN ; Yong-Xia GUAN
China Journal of Chinese Materia Medica 2025;50(15):4284-4292
This study established the HPLC fingerprints, characteristic chromatograms, and a multi-component content determination method for Bidens bipinnata and B. biternata. The chemical pattern recognition analysis was then employed to clarify the characteristic indexes of quality differences between the two original plants of Bidentis Herba, providing a reference for establishing the quality standards of Bidentis Herba. HPLC was launched on an Agilent Poroshell 120 EC-C_(18) chromatographic column(4.6 mm×250 mm, 4 μm) by gradient elution with a mobile phase of 0.1% aqueous phosphoric acid-acetonitrile at a flow rate of 0.7 mL·min~(-1), detection wavelength of 270 nm, column temperature of 25 ℃, and an injection volume of 5 μL. The similarity between the fingerprints of 18 batches of Bidentis Herba samples and the common pattern(R) ranged from 0.572 to 0.933. A total of 23 chromatographic peaks were calibrated. Through comparison with the reference substances, six components(neochlorogenic acid, chlorogenic acid, isochlorogenic acid A, isochlorogenic acid B, rutin, and hyperoside) were identified and subjected to quantitative analysis. The characteristic fingerprints of B. bipinnata and B. biternata were calibrated with 20 and 17 characteristic peaks, respectively. Among them, peaks 8, 9, 22, and 23 were the characteristic peaks of B. bipinnata, and peak 7 was the characteristic peak of B. biternata, which can be used to distinguish the two original plants of Bidentis Herba. The relative standard deviation of the content of the above-mentioned six components ranged from 36% to 123%. The cluster analysis, principal component analysis, and orthogonal partial least squares-discriminant analysis(OPLS-DA) classified the 18 batches of Bidentis Herba samples into two categories. Additionally, through the analysis of variable importance in projection(VIP) under OPLS-DA, three characteristic indexes, rutin, isochlorogenic acid A, and isochlorogenic acid B, were identified. The analytical method established in this study can comprehensively evaluate the consistency of Bidentis Herba samples derived from different original plants, specifically identify the differential components between them, and effectively distinguish the two original plants of Bidentis Herba, providing a basis for the differentiation between different original plants and the quality control of Bidentis Herba.
Chromatography, High Pressure Liquid/methods*
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Drugs, Chinese Herbal/chemistry*
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Quality Control
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Bidens/chemistry*
3.Risk factors for cardiopulmonary dysfunction after ligation of hemodynamically significant patent ductus arteriosus in preterm infants.
Chong-Chong LIU ; Yong LIU ; Yi ZHANG ; Dai-Cheng HAN ; Rui-Jing HE ; Shi-Wen XIA
Chinese Journal of Contemporary Pediatrics 2025;27(4):425-431
OBJECTIVES:
To investigate the risk factors for the occurrence of cardiopulmonary dysfunction following ligation of hemodynamically significant patent ductus arteriosus (hsPDA) in preterm infants.
METHODS:
A retrospective collection of clinical data was conducted on preterm infants with a gestational age of <34 weeks who were admitted to the Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology from January 2018 to August 2024. These infants underwent hsPDA ligation after 1-2 courses of failed ibuprofen treatment. Based on the occurrence of blood pressure changes and oxygenation or ventilation failure postoperatively, the infants were divided into a cardiopulmonary dysfunction group (19 cases) and a non-cardiopulmonary dysfunction group (40 cases). Binary logistic regression analysis was performed to explore risk factors for postoperative cardiopulmonary dysfunction.
RESULTS:
Binary logistic regression analysis indicated that a faster average weight gain rate preoperatively and low levels of free triiodothyronine (FT3) within one week before surgery were risk factors for cardiopulmonary dysfunction following hsPDA ligation (P<0.05). Receiver operating characteristic curve analysis showed that an average weight gain rate >11.45 g/(kg·d) and FT3 levels <2.785 pmol/L within one week before surgery had predictive value for postoperative cardiopulmonary dysfunction (P<0.05). The combination of these two indicators provided the highest predictive value (P<0.05), with an area under the curve of 0.825, a sensitivity of 79%, and a specificity of 75%.
CONCLUSIONS
An average weight gain rate exceeding 11.45 g/(kg·d) and FT3 levels below 2.785 pmol/L within one week before surgery are risk factors affecting cardiopulmonary function after hsPDA ligation. Preoperative assessment and intervention should be strengthened to reduce the risk of postoperative complications.
Humans
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Ductus Arteriosus, Patent/physiopathology*
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Risk Factors
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Female
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Infant, Newborn
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Male
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Retrospective Studies
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Infant, Premature
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Ligation/adverse effects*
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Hemodynamics
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Postoperative Complications/etiology*
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Logistic Models
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Lung Diseases/etiology*
4.Predictive value of bpMRI for pelvic lymph node metastasis in prostate cancer patients with PSA≤20 μg/L.
Lai DONG ; Rong-Jie SHI ; Jin-Wei SHANG ; Zhi-Yi SHEN ; Kai-Yu ZHANG ; Cheng-Long ZHANG ; Bin YANG ; Tian-Bao HUANG ; Ya-Min WANG ; Rui-Zhe ZHAO ; Wei XIA ; Shang-Qian WANG ; Gong CHENG ; Li-Xin HUA
National Journal of Andrology 2025;31(5):426-431
Objective: The aim of this study is to explore the predictive value of biparametric magnetic resonance imaging(bpMRI)for pelvic lymph node metastasis in prostate cancer patients with PSA≤20 μg/L and establish a nomogram. Methods: The imaging data and clinical data of 363 patients undergoing radical prostatectomy and pelvic lymph node dissection in the First Affiliated Hospital of Nanjing Medical University from July 2018 to December 2023 were retrospectively analyzed. Univariate analysis and multivariate logistic regression were used to screen independent risk factors for pelvic lymph node metastasis in prostate cancer, and a nomogram of the clinical prediction model was established. Calibration curves were drawn to evaluate the accuracy of the model. Results: Multivariate logistic regression analysis showed extrocapusular extension (OR=8.08,95%CI=2.62-24.97, P<0.01), enlargement of pelvic lymph nodes (OR=4.45,95%CI=1.16-17.11,P=0.030), and biopsy ISUP grade(OR=1.97,95%CI=1.12-3.46, P=0.018)were independent risk factors for pelvic lymph node metastasis. The C-index of the prediction model was 0.834, which indicated that the model had a good prediction ability. The actual value of the model calibration curve and the prediction probability of the model fitted well, indicating that the model had a good accuracy. Further analysis of DCA curve showed that the model had good clinical application value when the risk threshold ranged from 0.05 to 0.70.Conclusion: For prostate cancer patients with PSA≤20 μg/L, bpMRI has a good predictive value for the pelvic lymph node metastasis of prostate cancer with extrocapusular extension, enlargement of pelvic lymph nodes and ISUP grade≥4.
Humans
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Male
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Prostatic Neoplasms/diagnostic imaging*
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Lymphatic Metastasis
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Retrospective Studies
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Nomograms
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Prostate-Specific Antigen/blood*
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Lymph Nodes/pathology*
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Pelvis
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Predictive Value of Tests
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Prostatectomy
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Lymph Node Excision
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Risk Factors
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Magnetic Resonance Imaging
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Logistic Models
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Middle Aged
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Aged
5.Latent profile analysis of frailty among family caregivers of patients with dementia
Rui LI ; Yan SHI ; Xiao SUN ; Li WANG ; Guomin BU ; Jingyi WANG ; Xiaoqian KONG ; Wenjing XIA
Chinese Journal of Nursing 2024;59(16):2021-2029
Objective To explore the current status and potential subtypes of frailty among family caregivers of patients with dementia,and to analyze the related influencing factors of different subtypes.Methods Dementia patients and their family caregivers in 8 community health service centers in Shanghai from June to October 2023 were recruited by convenience sampling.General information questionnaire,Tilburg Frailty Indicator(TFI),Pittsburgh Sleep Quality Index(PSQI),Self-Rating Depression Scale(SDS),Zarit Caregiver Burden Interview(ZBI),and Connor-Davidson Resilience Scale(CD-RISC)were conducted for investigation.Latent profile analysis was used to explore the potential subtypes of frailty among family caregivers of patients with dementia.The influencing factors associated with the potential subtypes were identified by univariate analysis and multivariate Logistic regression analysis.Results A total of 470 family caregivers of patients with dementia were surveyed,and 46.17%of them suffered from frailty.Frailty among family caregivers of patients with dementia can be classified into 3 potential subtypes:comprehensive-low frailty subtype(70.64%),psychosocial-medium frailty subtype(19.57%),and physical-high frailty subtype(9.79%).Family caregivers of patients with dementia who had poor sleep quality and suffered from 2 or more chronic diseases were more likely to be classified into the physical-high frailty subtype(P<0.05).Family caregivers of patients with dementia who had higher levels of depression,lower mastery levels of caregiving knowledge and skills and spousal caregivers were more likely to be classified into the psychosocial-medium frailty subtype(P<0.05).Family caregivers of patients with dementia who had higher levels of resilience were more likely to be classified into the comprehensive-low frailty subtype(P<0.05).Conclusion The incidence of frailty among family caregivers of patients with dementia is at a high level with significant heterogeneity.It is suggested that medical staff should pay attention to the frailty of family caregivers,with a focus on family caregivers in the psychosocial-medium frailty subtype or physical-high frailty subtype,and take timely and targeted interventions according to the characteristics and influencing factors of different subtypes,so as to prevent or delay the occurrence and development of frailty.
6.ZHOU Peng's Experience in Treating Psoriasis Vulgaris of Blood Stasis Type Based on the Analysis of Dermoscopic Signs
Guo-Ao SHI ; Rui-Ming CHEN ; Xiang JI ; Zhong-Xian LI ; Yong-Qin XIONG ; Xia-Yun ZHOU ; Jing-Jing LI ; Peng ZHOU
Journal of Guangzhou University of Traditional Chinese Medicine 2024;41(8):2109-2115
Professor ZHOU Peng has deeply discussed the pathological characteristics of psoriasis vulgaris,emphasizing that the disease is usually manifested deficiency interweaved with excess,leading to frequent recurrence and persistent refractory,which may lead to psychological and emotional problems of patients.This paper further expounds the effect of blood stasis on the pathogenesis,progression and prognosis of psoriasis,and puts forward a new method of combining Lingnan fire needling and filiform needling acupuncture technique to treat psoriasis vulgaris with blood stasis syndrome.Professor ZHOU Peng believes that the treatment principle of this disease is"regulating the mind first,rectifying blood as a base,syndrome differentiating and eliminating pathogenic factors",aiming at comprehensively considering the etiology and symptoms,in order to achieve more effective treatment results.Combined with the analysis of dermoscopic signs,it provides a possible improvement direction for the treatment of psoriasis vulgaris from a new perspective.
7.Responsibilities and influencing factors of infection control liaison nurses in general hospitals
Ge BAI ; Yan-Li WANG ; Rui-Fang LIU ; Yu-Xia MA ; Ya SHI
Chinese Journal of Infection Control 2024;23(2):242-249
Objective To clarify the responsibilities and influencing factors of infection control liaison nurses(ICLNs)in general hospitals.Methods Relevant databases were systematically retrieved with scoping review method from establishment to March 18,2023,and the included literatures were reported standardizedly.Results A total of 36 literatures were included in the analysis.Responsibilities of ICLNs included admittance criteria,selec-tion methods,and job responsibilities.Influencing factors of ICLNs included training,empowerment,performance evaluation,continuous improvement measures,and personnel allocation.After the establishment of ICLNs,inci-dence of healthcare-associated infection and detection rate of multidrug-resistant organisms were reduced,compli-ance rate of health care workers'hand hygiene and monitoring rate of hospital environment were improved,and the cleaning and disinfection of hospital environment was standardized.Conclusion ICLNs play a role in preventing and controlling the occurrence of healthcare-associated infection.The management and application should be further standardized and improved,the effectiveness of ICLNs needs to be thoroughly studied,so as to promote the deve-lopment of ICLNs,and improve the quality of healthcare-associated infection management.
8.Expert consensus on ethical requirements for artificial intelligence (AI) processing medical data.
Cong LI ; Xiao-Yan ZHANG ; Yun-Hong WU ; Xiao-Lei YANG ; Hua-Rong YU ; Hong-Bo JIN ; Ying-Bo LI ; Zhao-Hui ZHU ; Rui LIU ; Na LIU ; Yi XIE ; Lin-Li LYU ; Xin-Hong ZHU ; Hong TANG ; Hong-Fang LI ; Hong-Li LI ; Xiang-Jun ZENG ; Zai-Xing CHEN ; Xiao-Fang FAN ; Yan WANG ; Zhi-Juan WU ; Zun-Qiu WU ; Ya-Qun GUAN ; Ming-Ming XUE ; Bin LUO ; Ai-Mei WANG ; Xin-Wang YANG ; Ying YING ; Xiu-Hong YANG ; Xin-Zhong HUANG ; Ming-Fei LANG ; Shi-Min CHEN ; Huan-Huan ZHANG ; Zhong ZHANG ; Wu HUANG ; Guo-Biao XU ; Jia-Qi LIU ; Tao SONG ; Jing XIAO ; Yun-Long XIA ; You-Fei GUAN ; Liang ZHU
Acta Physiologica Sinica 2024;76(6):937-942
As artificial intelligence technology rapidly advances, its deployment within the medical sector presents substantial ethical challenges. Consequently, it becomes crucial to create a standardized, transparent, and secure framework for processing medical data. This includes setting the ethical boundaries for medical artificial intelligence and safeguarding both patient rights and data integrity. This consensus governs every facet of medical data handling through artificial intelligence, encompassing data gathering, processing, storage, transmission, utilization, and sharing. Its purpose is to ensure the management of medical data adheres to ethical standards and legal requirements, while safeguarding patient privacy and data security. Concurrently, the principles of compliance with the law, patient privacy respect, patient interest protection, and safety and reliability are underscored. Key issues such as informed consent, data usage, intellectual property protection, conflict of interest, and benefit sharing are examined in depth. The enactment of this expert consensus is intended to foster the profound integration and sustainable advancement of artificial intelligence within the medical domain, while simultaneously ensuring that artificial intelligence adheres strictly to the relevant ethical norms and legal frameworks during the processing of medical data.
Artificial Intelligence/legislation & jurisprudence*
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Humans
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Consensus
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Computer Security/standards*
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Confidentiality/ethics*
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Informed Consent/ethics*
9.Application of Modified Intraoperative Axillary Fluoroscopy for Posterior Acromioclavicular Joint Dislocation
Rui XIA ; Wei XU ; Lei LIU ; Feng TIAN ; Shi-yuan FANG
Journal of Sun Yat-sen University(Medical Sciences) 2023;44(2):295-301
ObjectiveThe study aims to determine whether the horizontal posterior displacement of the distal clavicle in patients with acromioclavicular joint dislocation can be corrected via the application of modified intraoperative axillary fluoroscopy. MethodsFrom February 2019 to April 2021, 50 patients with Rockwood type Ⅲ acromioclavicular joint dislocation eligible for inclusion were randomly divided into two groups: the normal
10.Current status of perioperative nursing quality in 82 hospitals in Shanghai and its correlation with nursing human resource allocation
Rui LI ; Li WANG ; Wenjing XIA ; Shuzhen NIU ; Songqi WU ; Yan SHI
Chinese Journal of Modern Nursing 2023;29(36):4901-4907
Objective:To investigate the current situation of perioperative nursing quality and nursing human resource allocation in 82 hospitals in Shanghai and analyze the correlation between them.Methods:The convenient sampling method was used to select surgical wards in 82 secondary and tertiary hospitals in Shanghai that underwent nursing quality supervision in September 2022 as the research objects. Perioperative nursing quality data (patients' condition, perioperative nursing routine and operation process, etc.) and nursing human resource allocation data (bed-to-nurse ratio, nurse-to-patient ratio, etc.) of inpatients in 82 hospitals were collected from the platform of Shanghai Nursing Quality Control Center. Pearson correlation analysis was used to investigate the correlation between perioperative nursing quality and nursing human resource allocation in inpatients.Results:The standard-reaching rate of perioperative nursing quality in 82 hospitals in Shanghai is 56.1% (46/82). The overall standard-reaching rate of perioperative nursing quality in secondary hospitals is 30.4% (7/23), which was lower than 66.1% (39/59) of tertiary hospitals, and the difference was statistically significant ( P<0.05). The total score of perioperative nursing quality in 82 hospitals was (79.67±1.89), among which the item with the lowest score was "perioperative complication predictive nursing", followed by "perioperative nursing routine and operation process" and "patient safety risk assessment". The bed-to-nurse ratio of surgical wards in 82 hospitals was 1∶ (0.47±0.21) and the nurse-to-patient ratio was 1∶ (12.20±6.44). The proportion of nurses with bachelor degree or above was (68±11) %, the proportion of nurses with intermediate title or above was (38±7) %, and the proportion of nurses with 5 years of work experience or above was (52±8) %. The total level of perioperative nursing quality was negatively correlated with the nurse-patient ratio ( r=-0.367, P<0.01), and positively correlated with the bed-to-nurse ratio, the proportion of nurses with bachelor's degree or above, the proportion of nurses with intermediate professional title or above, and the proportion of nurses with 5 years of work experience or above ( r=0.506, 0.631, 0.552, 0.636; P<0.01) . Conclusions:The overall level of perioperative nursing quality in 82 hospitals in Shanghai is average, and it is positively correlated with bed-to-nurse ratio and negatively correlated with nurse-to-patient ratio. Hospital managers should improve the scientific and refined level of perioperative nursing management, improve the perioperative nursing risk control mechanism, refine the perioperative nursing operation process, construct the risk forecasting, early-warning and pre-control mode of surgical complications and optimize the nursing human resource structure, so as to promote the high-quality development of perioperative nursing.

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