This study identified blood-entering components of Anshen Dropping Pills and explored their anti-insomnia effects and mechanisms. The main blood-entering components of Anshen Dropping Pills were detected and identified by UPLC-Q-TOF-MS/MS. The rationality of the formula was assessed by using enrichment analysis based on the relationship between drugs and symptoms, and core targets of its active components were selected as the the potential anti-insomnia targets of Anshen Dropping Pills through network pharmacology analysis. Furthermore, protein-protein interaction(PPI) network, Gene Ontology(GO) enrichment analysis, and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway analysis were performed on the core targets. An active component-core target network for Anshen Dropping Pills was constructed. Finally, the effects of low-, medium-, and high-dose groups of Anshen Dropping Pills on sleep episodes, sleep duration, and sleep latency in mice were measured by supraliminal and subliminal pentobarbital sodium experiments. Moreover, total scores of the Pittsburgh sleep quality index(PSQI) scale was used to evaluate the changes before and after the treatment with Anshen Dropping Pills in a clinical study. The enrichment analysis based on the relationship between drugs and symptoms verified the rationality of the Anshen Dropping Pills formula, and nine blood-entering components of Anshen Dropping Pills were identified by UPLC-Q-TOF-MS/MS. The network proximity revealed a significant correlation between eight components and insomnia, including magnoflorine, liquiritin, spinosin, quercitrin, jujuboside A, ginsenoside Rb_3, glycyrrhizic acid, and glycyrrhetinic acid. Network pharmacology analysis indicated that the major anti-insomnia pathways of Anshen Dropping Pills involved substance and energy metabolism, neuroprotection, immune system regulation, and endocrine regulation. Seven core genes related to insomnia were identified: APOE, ALB, BDNF, PPARG, INS, TP53, and TNF. In summary, Anshen Dropping Pills could increase sleep episodes, prolong sleep duration, and reduce sleep latency in mice. Clinical study results demonstrated that Anshen Dropping Pills could decrease total scores of PSQI scale. This study reveals the pharmacodynamic basis and potential multi-component, multi-target, and multi-pathway effects of Anshen Dropping Pills, suggesting that its anti-insomnia mechanisms may be associated with the regulation of insomnia-related signaling pathways. These findings offer a theoretical foundation for the clinical application of Anshen Dropping Pills.
Animals ; Drugs, Chinese Herbal/administration & dosage* ; Tandem Mass Spectrometry/methods* ; Sleep Initiation and Maintenance Disorders/metabolism* ; Mice ; Network Pharmacology ; Male ; Chromatography, High Pressure Liquid ; Humans ; Protein Interaction Maps/drug effects* ; Sleep/drug effects* ; Female ; Adult

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* ; Humans ; Consensus ; Drugs, Chinese Herbal/therapeutic use* ; Surveys and Questionnaires

The performance evaluation of tertiary public hospitals is a major measure to promote the high-quality development of public hospitals and contribute to the construction of Healthy China.In advancing performance evalua-tion,public hospitals face various challenges,including differing policies and economic levels across provinces,a need to optimize the indicator system,and internal issues such as varied discipline structures,uneven emphasis on different factors,untimely internal performance linkage,and lagging informatization.Based on a systematic perspec-tive,it proposes countermeasures and suggestions such as strengthening policy coordination,optimizing the indica-tor system,enhancing top-level design,increasing employee awareness,intensifying compensation guidance,and accelerating informatization construction.

The performance evaluation of tertiary public hospitals is a major measure to promote the high-quality development of public hospitals and contribute to the construction of Healthy China.In advancing performance evalua-tion,public hospitals face various challenges,including differing policies and economic levels across provinces,a need to optimize the indicator system,and internal issues such as varied discipline structures,uneven emphasis on different factors,untimely internal performance linkage,and lagging informatization.Based on a systematic perspec-tive,it proposes countermeasures and suggestions such as strengthening policy coordination,optimizing the indica-tor system,enhancing top-level design,increasing employee awareness,intensifying compensation guidance,and accelerating informatization construction.

Objective:To study the current status of longitudinal extrauterine growth restriction (EUGR) in extremely preterm infants (EPIs) and to develop a prediction model based on clinical data from multiple NICUs.Methods:From January 2017 to December 2018, EPIs admitted to 32 NICUs in North China were retrospectively studied. Their general conditions, nutritional support, complications during hospitalization and weight changes were reviewed. Weight loss between birth and discharge > 1SD was defined as longitudinal EUGR. The EPIs were assigned into longitudinal EUGR group and non-EUGR group and their nutritional support and weight changes were compared. The EPIs were randomly assigned into the training dataset and the validation dataset with a ratio of 7∶3. Univariate Cox regression analysis and multiple regression analysis were used in the training dataset to select the independent predictive factors. The best-fitting Nomogram model predicting longitudinal EUGR was established based on Akaike Information Criterion. The model was evaluated for discrimination efficacy, calibration and clinical decision curve analysis.Results:A total of 436 EPIs were included in this study, with a mean gestational age of (26.9±0.9) weeks and a birth weight of (989±171) g. The incidence of longitudinal EUGR was 82.3%(359/436). Seven variables (birth weight Z-score, weight loss, weight growth velocity, the proportion of breast milk ≥75% within 3 d before discharge, invasive mechanical ventilation ≥7 d, maternal antenatal corticosteroids use and bronchopulmonary dysplasia) were selected to establish the prediction model. The area under the receiver operating characteristic curve of the training dataset and the validation dataset were 0.870 (95% CI 0.820-0.920) and 0.879 (95% CI 0.815-0.942), suggesting good discrimination efficacy. The calibration curve indicated a good fit of the model ( P>0.05). The decision curve analysis showed positive net benefits at all thresholds. Conclusions:Currently, EPIs have a high incidence of longitudinal EUGR. The prediction model is helpful for early identification and intervention for EPIs with higher risks of longitudinal EUGR. It is necessary to expand the sample size and conduct prospective studies to optimize and validate the prediction model in the future.

Objective To obtain guiding recommendations for the development of fertility preservation in female patients of reproductive age,so as to promote the scientific,standardized and orderly implementation of fertility preservation work.Methods A previous questionnaire survey was used to determine the preliminary recommendations,a modified Delphi method was used to invite 18 domestic experts of fertility preservation to conduct two rounds of expert consultation.Then we adjusted and summarized recommendations according to the results of the consultation.Results Finally,14 guiding recommendations for the development of fertility preservation in female patients of reproductive age were obtained according to the results of the Delphi consultation,including 5 recommendations at technical level,5 recommendations at political level and 4 recommendations at educational level.At technical level,it was proposed to establish a standardized operation process;at political level,it was proposed to improve the relevant legislation of fertility preservation in China to protect the safety and interests of patients;at educational level,it was suggested to take various forms to promote the mass dissemination of fertility preservation knowledge.Conclusion Guiding recommendations for fertility preservation in female patients of reproductive age can provide detailed and comprehensive guidance for promoting fertility preservation in female patients of reproductive age in Shanghai,and provide reference for carrying out fertility preservation in other regions.

The performance evaluation of tertiary public hospitals is a major measure to promote the high-quality development of public hospitals and contribute to the construction of Healthy China.In advancing performance evalua-tion,public hospitals face various challenges,including differing policies and economic levels across provinces,a need to optimize the indicator system,and internal issues such as varied discipline structures,uneven emphasis on different factors,untimely internal performance linkage,and lagging informatization.Based on a systematic perspec-tive,it proposes countermeasures and suggestions such as strengthening policy coordination,optimizing the indica-tor system,enhancing top-level design,increasing employee awareness,intensifying compensation guidance,and accelerating informatization construction.

The performance evaluation of tertiary public hospitals is a major measure to promote the high-quality development of public hospitals and contribute to the construction of Healthy China.In advancing performance evalua-tion,public hospitals face various challenges,including differing policies and economic levels across provinces,a need to optimize the indicator system,and internal issues such as varied discipline structures,uneven emphasis on different factors,untimely internal performance linkage,and lagging informatization.Based on a systematic perspec-tive,it proposes countermeasures and suggestions such as strengthening policy coordination,optimizing the indica-tor system,enhancing top-level design,increasing employee awareness,intensifying compensation guidance,and accelerating informatization construction.

The performance evaluation of tertiary public hospitals is a major measure to promote the high-quality development of public hospitals and contribute to the construction of Healthy China.In advancing performance evalua-tion,public hospitals face various challenges,including differing policies and economic levels across provinces,a need to optimize the indicator system,and internal issues such as varied discipline structures,uneven emphasis on different factors,untimely internal performance linkage,and lagging informatization.Based on a systematic perspec-tive,it proposes countermeasures and suggestions such as strengthening policy coordination,optimizing the indica-tor system,enhancing top-level design,increasing employee awareness,intensifying compensation guidance,and accelerating informatization construction.

The performance evaluation of tertiary public hospitals is a major measure to promote the high-quality development of public hospitals and contribute to the construction of Healthy China.In advancing performance evalua-tion,public hospitals face various challenges,including differing policies and economic levels across provinces,a need to optimize the indicator system,and internal issues such as varied discipline structures,uneven emphasis on different factors,untimely internal performance linkage,and lagging informatization.Based on a systematic perspec-tive,it proposes countermeasures and suggestions such as strengthening policy coordination,optimizing the indica-tor system,enhancing top-level design,increasing employee awareness,intensifying compensation guidance,and accelerating informatization construction.