[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.

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.

ObjectiveThe bioinformatics method was used to screen ferroptosis differential genes （FRGs） closely related to ulcerative colitis （UC）， and animal experiments were conducted to verify whether the mechanism of Xiezhuo Jiedu recipe in treating UC is related to the regulation of ferroptosis. MethodThe differentially expressed genes （DEGs） of colonic mucosa tissue of UC patients were obtained from the GEO database， and the intersection of the genes with ferroptosis genes was used to obtain FRGs. The core FRGs were obtained by cluster analysis， minimum absolute contraction and selection operator （LASSO） regression， and receiver operating characteristic curve （ROC） curve analysis. In animal experiments， the UC mouse model was prepared by making the mouse freely drink 2.5% dextran sodium sulfate （DSS）. Xiezhuo Jiedu recipe and mesalazine were given by gavage for seven days， and the inflammatory infiltration of colonic mucosa was observed by hematoxylin-eosin （HE） staining. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） was used to detect the mRNA expression levels of E3 ubiquitin ligase （FBXW7）， zinc finger protein （ZFP36）， solute carrier family 7 member 11 （SLC7A11）， and Toll-like receptor 4 （TLR4） in colon tissue. The protein expression levels of FBXW7， ZFP36， SLC7A11， and TLR4 in colon tissue were detected by Western blot. ResultDataset GSE87466 was screened from the GEO database， and its intersections with the ferroptosis gene were analyzed to obtain 21 FRGs. After cluster analysis， LASSO regression， and ROC analysis， core FRGs （FBXW7， ZFP36， SLC7A11， and TLR4） were obtained. Immunoinfiltration analysis showed significant differences in the expression of initial B cells， M1 macrophages， plasma cells， and M2 macrophages in the colonic mucosa tissue of UC mice， and there was a significant correlation between core FRGs and these immune cells. Further animal experiments showed that the colonic mucosa tissue of mice in the model group was disorganized and infiltrated by a large number of inflammatory cells. The inflammation of the colonic mucosa tissue of mice in each group was relieved to varying degrees after treatment with Xiezhuo Jiedu recipe and mesalazine， while the colonic mucosa tissue of mice in the high-dose group of Xiezhuo Jiedu recipe showed almost no inflammatory changes. Compared with the normal group， the protein and mRNA expressions of FBXW7， ZFP36， SLC7A11， and TLR4 in the model group were significantly increased， and the expression of core FRGs in colonic mucosa tissue of mice in all groups was significantly down-regulated after treatment with Xiezhuo Jiedu recipe and mesalazine. ConclusionFBXW7， ZFP36， SLC7A11， and TLR4 are ferroptosis genes closely related to the pathogenesis of UC， and Xiezhuo Jiedu recipe can significantly alleviate colonic mucosa inflammation in mice by down-regulating core ferroptosis genes.

ObjectiveThe differential expression of microRNAs （miRNAs） between the active stage and the remission stage of ulcerative colitis （UC） was analyzed by bioinformatics method， and the regulatory relationship was constructed by screening the differentially expressed genes （DEGs）. The mechanism of Xizhuo Jiedu recipe in the treatment of UC was speculated and verified by animal experiments. MethodThe miRNAs data set of colonic mucosa tissue of UC patients was obtained from the gene expression database （GEO）， and the most differentially expressed miRNAs were screened by GEO2R， Excel， and other tools as research objects. TargetScan， miRTarbase， miRDB， STRING， TRRUST， and Matescape databases were used to screen key DEGs， predict downstream transcription factors （TFs）， gene ontology （GO）， and conduct Kyoto Encyclopedia of Genes and Genomes （KEGG） enrichment analysis. The key signaling pathways were selected for animal experiments. In animal experiments， the UC mouse model was prepared by making the mouse freely drink 2.5% dextran sodium sulfate （DSS）. Xiezhu Jiedu recipe and mesalazine were given by gavage for seven days， and the inflammatory infiltration of colonic mucosa was 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-155-5p in colon tissue. Immunohistochemistry and Western blot were used to detect the protein expression levels of cytokine signal transduction inhibitor （SOCS1）， phosphorylated transcriptional signal transductor and activator 3 （p-STAT3）， phosphorylated Janus kinase 2 （p-JAK2）， and retinoic acid-associated orphan receptor-γt （ROR-γt）. The expression levels of transforming growth factor-β （TGF-β）， interleukin-17 （IL-17）， interleukin-6 （IL-6）， and interleukin-10 （IL-10） in serum were detected by enzyme linked immunosorbent assay （ELISA）. ResultThe GSE48957 dataset was screened from the GEO database， and miR-155-5p was selected as the research object from the samples in the active and remission stages. 131 DEGs were screened. The GO/KEGG enrichment analysis was closely related to biological processes such as positive regulation of miRNA transcription and protein phosphorylation， as well as signaling pathways such as stem cell signaling pathway， IL-17 signaling pathway， and helper T cell 17 （Th17） cell differentiation. The Matescape database was used to screen out 10 key DEGs， among which SOCS1 was one of the key DEGs of miR-155-5p. Further screening of the TFS of key DEGs revealed that STAT3 was one of the main TFs of SOCS1. The results of animal experiments showed that Xiezhu Jiedu Recipe could effectively down-regulate the mRNA expression of miR-155-5p and protein expression of p-STAT3， p-JAK2， and ROR-γt in colon tissue of UC mice and the expression of IL-17 and IL-6 in serum of UC mice， up-regulate the protein expression of SOCS1 and the expression of TGF-β and IL-10， increase the level of anti-inflammatory factors， and reduce inflammatory cell infiltration. ConclusionIt is speculated that Xizhuo Jiedu recipe may interfere with SOCS1 by regulating the expression of miR-155-5p in UC mice， inhibit the phosphorylation of STAT3， inhibit the differentiation of CD4⁺ T cells into Th17 cells， reduce the levels of pro-inflammatory factors （IL-17 and IL-6）， and increase the levels of anti-inflammatory factors （TGF-β and IL-10）. As a result， the inflammation of colon mucosa in UC mice was alleviated.

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.

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.

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.