[Objective] To analyse and predict the tendencies of using erythrocyte blood in Changsha based on the autoregressive integrated moving average (ARIMA) model, long short-term memory (LSTM) and ARIMA-LSTM combination model, so as to provide reliable basis for designing a feasible and effective blood inventory management strategy. [Methods] The data of erythrocyte usage from hospitals in Changsha between January 2012 and December 2023 were collected, and ARIMA model, LSTM model and ARIMA-LSTM combination model were established. The actual erythrocyte consumption from January to May 2024 were used to assess and verify the prediction effect of the models. The extrapolation prediction accuracy of the models were tested using two evaluation indicators: mean absolute percentage error (MAPE) and root mean square error (RMSE), and then the prediction performance of the model was compared. [Results] The RMSE of LSTM model, optimal model ARIMA(1,1,1)(1,1,1)12 and ARIMA-LSTM combination model were respectively 5 206.66, 3 096.43 and 2 745.75, and the MAPE were 18.78%,11.54% and 9.76% respectively, which indicated that the ARIMA-LSTM combination model was more accurate than the ARIMA model and LSTM model, and the prediction results was basically consistent with the actual situation. [Conclusion] The ARIMA-LSTM model can better predict the clinical erythrocyte consumption in Changsha in the short term.

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.

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.

ObjectiveTo investigate the effect and mechanism of modified Guizhi Fulingwan in preventing colorectal adenoma （CRA） in mice by regulating mitochondrial apoptosis pathway through the regulation of the phosphatase and tensin homolog （PTEN）/phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt） pathway. MethodSixty SPF-grade male C57BL/6 mice were randomly divided into six groups： Normal group， model group， low， medium， and high dose groups of modified Guizhi Fulingwan （13， 26， 52 g·kg^-1·d^-1）， and positive control aspirin group （0.015 g·kg^-1·d^-1）. A mouse model of CRA was chemically induced using azoxymethane （AOM） and dextran sulfate sodium （DSS）. During the modeling process， mice received modified Guizhi Fulingwan or aspirin. Body weight of mice was measured weekly during the treatment. After 9 weeks， the number of adenomas formed was observed. Serum levels of tumor necrosis factor-α （TNF-α）， interleukin-6 （IL-6）， and interleukin-1β （IL-1β） were determined by enzyme-linked immunosorbent assay （ELISA）. Hematoxylin-eosin （HE） staining was used to observe the histopathologic changes in adenoma tissues. The expression of Cyclin D₁ and proliferative nuclear antigen （Ki67） was detected by immunohistochemistry （IHC）. Terminal deoxynucleotidyl transferase dUTP nick end labeling （TUNEL） was used to assess the apoptosis in adenoma tissues. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） and Western blot were used to observe the mRNA and protein expression levels of PTEN， PI3K， Akt， phosphorylated PI3K （p-PI3K）， phosphorylated Akt （p-Akt）， B-cell lymphoma-2 （Bcl-2）， Bcl-2 associated X protein （Bax）， cytochrome C （Cyt C）， Caspase-9， and caspase-3. ResultCompared with the normal group， the model group showed no significant change in body weight from week 1 to week 2， but a significant decrease from week 3 to week 9 （P<0.05，P<0.01）. The colorectal length was significantly shortened， and the colorectal weight increased with visible varying sized tumor-like protrusions on the mucosal surface （P<0.01）. Serum levels of TNF-α， IL-6， and IL-1β were elevated （P<0.01）. Histopathology showed disordered epithelial gland structure， elongated nuclei with pathological mitosis， and numerous lymphocytic infiltrations in the lamina propria. The positive expression rates of Cyclin D₁ and Ki67 were significantly increased （P<0.01）， while the apoptosis rate of adenoma cells was significantly decreased （P<0.01）. Expression levels of PI3K， Akt， Bcl-2 mRNA and proteins， as well as p-PI3K and p-Akt proteins， were significantly increased （P<0.01）， whereas PTEN， Bax， Cyt C， Caspase-9， and Caspase-3 mRNA and protein levels were significantly decreased （P<0.05， P<0.01）. Compared with the model group， all drug treatment groups showed an increase in body weight （P<0.01）， decreased intestinal weight， increased colorectal length， reduced number of adenomas significantly （P<0.05， P<0.01）， and significantly lowered serum levels of TNF-α， IL-6， and IL-1β （P<0.01）. Histopathology indicated improved glandular structure and reduced neutrophil infiltration in the mucosal lamina propria. The positive expression rates of Cyclin D₁ and Ki67 significantly decreased （P<0.01）， while the apoptosis rate of adenoma cells significantly increased （P<0.05， P<0.01）. Expression levels of PI3K， Akt， Bcl-2 mRNA and proteins， and p-PI3K and p-Akt proteins were significantly reduced （P<0.05， P<0.01）， while PTEN， Bax， Cyt C， Caspase-9， and Caspase-3 mRNA and protein levels significantly increased （P<0.05， P<0.01）. The high-dose modified Guizhi Fulingwan group exhibited the most significant intervention effects. ConclusionModified Guizhi Fulingwan may prevent CRA in mice by regulating the PTEN/PI3K/Akt signaling pathway and inducing the mitochondrial apoptosis pathway.

Objective To systematically evaluate the prognostic prediction model for chronic heart failure patients in China, and provide reference for the construction, application, and promotion of related prognostic prediction models. Methods A comprehensive search was conducted on the studies related to prognostic prediction model for Chinese patients with chronic heart failure published in The Cochrane Library, PubMed, EMbase, Web of Science, CNKI, VIP, Wanfang, and the China Biological Medicine databases from inception to March 31, 2023. Two researchers strictly followed the inclusion and exclusion criteria to independently screen literature and extract data, and used the prediction model risk of bias assessment tool (PROBAST) to evaluate the quality of the models. Results A total of 25 studies were enrolled, including 123 prognostic prediction models for chronic heart failure patients. The area under the receiver operating characteristic curve (AUC) of the models ranged from 0.690 to 0.959. Twenty-two studies mostly used random splitting and Bootstrap for internal model validation, with an AUC range of 0.620-0.932. Seven studies conducted external validation of the model, with an AUC range of 0.720-0.874. The overall bias risk of all models was high, and the overall applicability was low. The main predictive factors included in the models were the N-terminal pro-brain natriuretic peptide, age, left ventricular ejection fraction, New York Heart Association heart function grading, and body mass index. Conclusion The quality of modeling methodology for predicting the prognosis of chronic heart failure patients in China is poor, and the predictive performance of different models varies greatly. For developed models, external validation and clinical application research should be vigorously carried out. For model development research, it is necessary to comprehensively consider various predictive factors related to disease prognosis before modeling. During modeling, large sample and prospective studies should be conducted strictly in accordance with the PROBAST standard, and the research results should be comprehensively reported using multivariate prediction model reporting guidelines to develop high-quality predictive models with strong scalability.

OBJECTIVE To improve the quality evaluation method of Platycodonis Radix, to study the differences in the quality of three-years-old Platycodonis Radix under different harvesting periods, and to determine the optimal harvesting period of Platycodonis Radix. METHODS The leachate, ash, moisture, refractive index and the content of six saponins were used as the quality evaluation indexes. The differences between the herbs of Platycodonis Radix at different harvesting periods were characterized with the help of mathematical and statistical methods. And link the entropy weight method, gray correlation analysis and TOPSIS method were combined to obtain the statistical analysis of the relevant indexes and the quality ranking information of the herbs in different harvesting periods. RESULTS There were significant differences between the quality evaluation indexes of three-years-old Platycodonis Radix at different harvesting periods. The added multi-indicator testing had improved the quality evaluation system of Platycodonis Radix and enhanced the "Drug properties-Effectiveness" linkage of the herbs. And the results of the comprehensive quality evaluation model showed that the herbs harvested around October 21 (Frost’s Descent) were ranked best in terms of comprehensive index. CONCLUSION In order to ensure the quality of Platycodonis Radix, the best harvesting period for three-years-old Platycodonis Radix is determined around the "Frost’s Descent" season, taking into account the characteristics of the herbs' appearance and the material basis of herbs.

Objective To investigate the effects of cynomorium songaricum extract on cognitive dysfunction of Alzheimer disease (AD) model mice based on network pharmacology and animal experiments.Methods Network pharmacology was used to predict the related targets and signal pathways of the extract of cynomorium songaricum to improve AD.Senescence accelerated mice P8 (SAMP8) were selected as the model of AD.Based on the results of the preliminary experiment, 0.17 g/(kg·d) was selected as the optimal dosage for the extract of cynomorium son-garicum.The extract of cynomorium songaricum [0.17 g/(kg·d) , Donepezil hydrochloride [2.0 mg/(kg·d) ] and normal saline were given orally for 28 days according to the groups.Morris water maze evaluated the learning and cognitive function of animals.The number of neurons in cornu ammonis 1 (CA1) of hippocampus was observed by Nissl staining.The expression of recombinant Beclin 1(Beclin-1), Sequestosome 1 (p62), light chain 3 (LC-3) protein was detected by immunohistochemical method.The protein expression levels of phosphoinositide 3-ki-nase (PI3K), protein kinase B (AKT) and glycogen synthase kinase3β(GSK-3β) in the hippocampus of mice in each group were detected by Western blot.Results Based on the network pharmacology study, it was predicted that the biological mechanism of cynomorium songaricum to improve AD might be the regulation of autophagy, and the possible signaling pathway was PI3 K/AKT/GSK-3β.The results of animal experiments showed that the extract of cynomorium songaricum could improve the spatial memory learning ability of AD model mice, improve the dam-age of hippocampal neurons, significantly increase the number of neurons, and increase the expression levels of PI3K, p-AKT/AKT, p-GSK-3β/GSK-3β, Beclin-1 and LC3 in the hippocampus of mice.The expression level of p62 decreased.There was no significant difference between male and female mice during the experiment.Conclu-sion The extract may improve the cognitive dysfunction of male and female AD models by activating autophagy mediated by PI3K-AKT-GSK-3β signaling pathway, and there is no significant gender difference in the effect.

Objective:To develop a robotic digestive endoscope system (RDES) and to evaluate its feasibility, safety and control performance by experiments.Methods:The RDES was designed based on the master-slave control system, which consisted of 3 parts: the integrated endoscope, including a knob and button robotic control system integrated with a gastroscope; the robotic mechanical arm system, including the base and arm, as well as the endoscopic advance-retreat control device (force-feedback function was designed) and the endoscopic axial rotation control device; the control console, including a master manipulator and an image monitor. The operator sit far away from the endoscope and controlled the master manipulator to bend the end of the endoscope and to control advance, retract and rotation of the endoscope. The air supply, water supply, suction, figure fixing and motion scaling switching was realized by pressing buttons on the master manipulator. In the endoscopy experiments performed on live pigs, 5 physicians each were in the beginner and advanced groups. Each operator operated RDES and traditional endoscope (2 weeks interval) to perform porcine gastroscopy 6 times, comparing the examination time. In the experiment of endoscopic circle drawing on the inner wall of the simulated stomach model, each operator in the two groups operated RDES 1∶1 motion scaling, 5∶1 motion scaling and ordinary endoscope to complete endoscopic circle drawing 6 times, comparing the completion time, accuracy (i.e. trajectory deviation) and workload.Results:RDES was operated normally with good force feedback function. All porcine in vivo gastroscopies were successful, without mucosal injury, bleeding or perforation. In beginner and advanced groups, the examination time of both RDES and ordinary endoscopy tended to decrease as the number of operations increased, but the decrease in time was greater for operating RDES than for operating ordinary endoscope (beginner group P=0.033; advanced group P=0.023). In the beginner group, the operators operating RDES with 1∶1 motion scaling or 5∶1 motion scaling to complete endoscopic circle drawing had shorter completion time [1.68 (1.40, 2.17) min, 1.73 (1.47, 2.37) min VS 4.13 (2.27, 5.16) min, H=32.506, P<0.001], better trajectory deviation (0.50±0.11 mm, 0.46±0.11 mm VS 0.82±0.26 mm, F=38.999, P<0.001], and less workload [42.00 (30.00, 50.33) points, 43.33 (35.33, 54.00) points VS 52.67 (48.67, 63.33) points, H=20.056, P<0.001] than operating ordinary endoscope. In the advanced group, the operators operating RDES with 1∶1 or 5∶1 motion scaling to complete endoscopic circle drawing had longer completion time than operating ordinary endoscope [1.72 (1.37, 2.53) min, 1.57 (1.25, 2.58) min VS 1.15 (0.86, 1.58) min, H=13.233, P=0.001], but trajectory deviation [0.47 (0.13, 0.57) mm, 0.44 (0.39, 0.58) mm VS 0.52 (0.42, 0.59) mm, H=3.202, P=0.202] and workload (44.62±21.77 points, 41.24±12.57 points VS 44.71±17.92 points, F=0.369, P=0.693) were not different from those of the ordinary endoscope. Conclusion:The RDES enables remote control, greatly reducing the endoscopists' workload. Additionally, it gives full play to the cooperative motion function of the large and small endoscopic knobs, making the control more flexible. Finally, it increases motion scaling switching function to make the control of endoscope more flexible and more accurate. It is also easy for beginners to learn and master, and can shorten the training period. So it can provide the possibility of remote endoscopic control and fully automated robotic endoscope.

With the deepening of the reform of the medical and health system and the continuous optimization of the medical order,it is especially important to organize the development of admission and discharge standards and improve the service of preparing patients for discharge.In recent years,the research and application of machine learning technology in the medical field has been intensifying,and it has unique advantages in processing data and risk prediction research.Therefore,this paper reviews the development process,types of machine leaming,the content and effects of its application in patient discharge preparation services,and the current problems,in order to provide references for healthcare professionals to implement the best clinical decisions and further improve the patient discharge preparation service model.

ObjectiveKey microRNAs （miRNAs） of colorectal adenoma （CRA） were identified and analyzed by bioinformatics methods， and differentially expressed genes （DEGs） were screened to construct regulatory relationships. The mechanism of Xiezhuo Jiedu recipe in preventing CRA was speculated and verified by animal experiments. MethodThe miRNAs dataset GSE50194 was obtained from the Gene Expression Omnibus （GEO） database of intestinal mucosal tissue of CRA patients， and the differentially expressed miRNAs were screened by GEO2R and Excel. TargetScan， miRTarbase， and miRDB databases were used to predict the target genes of the differentially expressed miRNAs， and an intersection was obtained. Key DEGs were screened through the STRING database and Cytoscape software， and the TRRUST database was used to predict downstream binding transcription factors （TFs）. The mRNA intersection was enriched by gene ontology （GO） and Kyoto encyclopedia of genes and genomes （KEGG） in the Metascape database. DIANA TOOLS were applied to perform KEGG enrichment analysis of key miRNAs， and the key signaling pathways were selected for animal experiments. In animal experiments， the CRA mice model was established by using sodium glycan sulfate （DSS） drinking combined with intraperitoneal injection of azomethane oxide （AOM）， and Xiezhuo Jiedu recipe and aspirin were given by intragastric administration at the same time. The experiment lasted for nine weeks. The pathological changes in intestinal tissue were observed by hematoxylin-eosin （HE） staining. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） was used to detect the mRNA expression of miR-34a-5p in adenoma tissue. Protein expression levels of phosphatidylinositol 3-kinase （PI3K）， protein kinase B （Akt）， phosphoryl-PI3K （p-PI3K）， phosphoryl-Akt （p-Akt）， and B cell lymphoma （Bcl）-2 were detected by Western blot. The expression of Cyclin D1 （CCND1） was detected by immunohistochemistry （IHC）. In situ terminal transferase labeling （TUNEL） was used to detect apoptosis of adenoma tissue cells. ResultThe GEO database screened the GSE50194 dataset， and miR-34a-5p was selected as the research object from CRA and normal tissue. A total of 93 DEGs were selected. Among them， GO and KEGG enrichment analyses were closely related to biological processes such as transcriptional regulatory complex， RNA polymerase Ⅱ transcriptional regulatory complex， enzyme-linked receptor protein signaling pathway， and DNA-binding transcriptional activator activity， cancer pathway， PI3K/Akt pathway， etc. miR-34a-5p is mainly enriched in PI3K/Akt， cell cycle， and colorectal cancer pathways. Five key DEGs were screened out through the Matescape database， among which Bcl-2 and CCND1 were the key DEGs of miR-34a-5p. Further screening of the TFs of key DEGs revealed that E2F transcription factor 1 （E2F1） and tumor protein P53 （TP53） were the main TFs of Bcl-2 and CCND1. Animal experiments showed that Xiezhuo Jiedu recipe could effectively up-regulate mRNA level of miR-34a-5p， down-regulate the expression of PI3K， Akt， Bcl-2， p-PI3K， and p-Akt proteins in the intestinal tissue of CRA mice， down-regulate the positive expression rate of CCND1， and increase the apoptosis rate of intestinal epithelial cells. ConclusionIt is speculated that Xiezhuo Jiedu recipe may inhibit the abnormal proliferation and promote the apoptosis of intestinal epithelial cells in CRA mice by regulating the miR-34a-5p/PI3K/Akt signaling pathway， thus playing a role in the prevention of CRA.