ObjectiveTo develop a full-process data platform of renal rehabilitation, diagnosis and quality control information. MethodsA hierarchical architectural design was proposed, adhering to clinical pathway models and standardized data protocols. The platform comprehensively covered assessment, intervention, follow-up and quality control for maintenance hemodialysis (MHD) patients. By integrating multidisciplinary resources and standardizing rehabilitation workflows, it delivered standardized and intelligent rehabilitation services. ResultsThe platform achieved standardized and intelligent management of rehabilitation services, effectively improved the physiological function, psychological state and quality of life convenience for MHD patients, while significantly reduced the economic and care burden on patients' families and society. ConclusionThe rehabilitation service model based on a full-process data platform may provide scientific and systematic support for MHD patients.

Objective To explore the effect of remote ischemic conditioning(RIC)combined with binaural beat music(BBM)train-ing in patients with cognitive dysfunction after cerebral infarction.Methods From June,2024 to January,2025,200 patients with cognitive dysfunction after cerebral infarction in the Affil-iated Hospital of North China University of Science and Technology were randomly divided into control group(n=50),RIC group(n=50),BBM group(n=50)and combined group(n=50).All the groups received stan-dardized routine training,RIC group received RIC,BBM group received BBM,and the combined group received RIC+BBM,for 14 days.They were assessed with Montreal Cognitive Assessment(MoCA)and Stroke-Specific Quality of Life Scale(SS-QOL)at baseline,day 14,and day 90.Results Two cases in the control group,four in RIC group,three in BBM group and three in the combined group dropped out.For MoCA scores,the inter-group effect,intra-group effect and interaction effect were all significant(F>13.463,P<0.001).After intervention,on both day 14 and day 90,the score of MoCA was higher in each in-tervention group than in the control group(P<0.05),and was higher in the combined group than in both BBM and RIC groups(P<0.05);and on day 90,it was higher in RIC group than in BBM group(P<0.05).For SS-QOL,the score increased with time in all the groups(χ2>75.182,P<0.001).After intervention,there was signif-icant difference at each time point among four groups(H>18.260,P<0.001).On day 14 and day 90,the score of SS-QOL was higher in the combined group than in the control and BBM groups(|Z|>3.149,P<0.05);on day 90,the score was higher in RIC group than in the control group(|Z|=3.590,P<0.05),and it was higher in the combined group than in RIC group(|Z|=3.186,P<0.05).Conclusion RIC,BBM and their combination all improved cognitive function after cerebral infarction.RIC was superior to BBM,and the combined intervention yielded the greatest benefit.Both RIC and the combined intervention im-proved quality of life,with the combined approach being the most effective.

Objective To construct machine learning models to predict the incidence of linezolid-induced thrombocytopenia(LIT).Methods A total of 198 patients treated with linezolid in a hospital between January 2020 and March 2024 were retrospectively included.Firstly,the patients were divided into LIT and non-LIT groups,and the basic characteristics of the two groups were compared.Then,the variables with significant differences between the two groups were selected as potential risk factors to construct models for predicting LIT,including Logistic regression,decision tree and random forest models,and the prediction performance of the models was evaluated and compared.Results There were 52(26.3％)patients developed LIT during the treatment.The univariate analysis showed significant differences in linezolid trough concentration(Cmin),baseline platelet counts and creatinine clearance,the incidence of cerebrovascular disease,acute respiratory distress syndrome,and abdominal infection in patients with and without LIT.Among the three models built based on these variables,the random forest model has the best predictive performance.The results of variable importance analysis based on random forest model showed that Cmin,baseline platelet count and combined with acute respiratory distress syndrome had higher importance scores.Conclusions The random forest model has high accuracy in predicting the occurrence of LIT,and the risk of LIT is higher in patients with higher levels of linezolid exposure and lower baseline platelets.

Objective To construct machine learning models to predict the incidence of linezolid-induced thrombocytopenia(LIT).Methods A total of 198 patients treated with linezolid in a hospital between January 2020 and March 2024 were retrospectively included.Firstly,the patients were divided into LIT and non-LIT groups,and the basic characteristics of the two groups were compared.Then,the variables with significant differences between the two groups were selected as potential risk factors to construct models for predicting LIT,including Logistic regression,decision tree and random forest models,and the prediction performance of the models was evaluated and compared.Results There were 52(26.3％)patients developed LIT during the treatment.The univariate analysis showed significant differences in linezolid trough concentration(Cmin),baseline platelet counts and creatinine clearance,the incidence of cerebrovascular disease,acute respiratory distress syndrome,and abdominal infection in patients with and without LIT.Among the three models built based on these variables,the random forest model has the best predictive performance.The results of variable importance analysis based on random forest model showed that Cmin,baseline platelet count and combined with acute respiratory distress syndrome had higher importance scores.Conclusions The random forest model has high accuracy in predicting the occurrence of LIT,and the risk of LIT is higher in patients with higher levels of linezolid exposure and lower baseline platelets.

Artificial intelligence(AI)has emerged as a cutting-edge technology leading the future and is a key engine for China's development.In the innovation and research of medical devices,AI has provided critical support in the areas of intelligent diagnostic assistance,intelligent therapeutic assis-tance,intelligent monitoring,life support,et al.Ma-chine learning-enabled device software functions(ML-DSFs)have become an essential component of many medical devices.Recently,the United States Food and Drug Administration(FDA)released a draft guidance titled"Marketing Submission Rec-ommendations for a Predetermined Change Con-trol Plan for Artificial Intelligence/Machine Learn-ing(AI/ML)-Enabled Device Software Functions(Draft)."that aimed to provide a forward-looking approach to foster the development of ML medical devices.By supporting iterative updates through modifications,this approach ensures the continu-ous safety and effectiveness of the devices.This guidance represents the latest in regulatory direc-tion and is especially beneficial for enhancing the quality and efficiency of clinical trials for AI prod-ucts.Therefore,we plan to provide a detailed intro-duction and interpretation of the guidance,with the aim of learning from international advanced regulatory concepts and experiences to promote the development of ML-DSFs with more profound international influence.

Immune thrombocytopenia(ITP)is an autoimmune disease characterized primarily by bleeding and fatigue.ITP-related fatigue can substantially affect health-related quality of life and has been recognized as a treatment indication in the latest guidelines.However,its pathogenesis remains unclear,and targeted therapies are lacking.This paper explores the theoretical foundation of the"excessive fire consuming healthy qi"theory,linking two key conceptual pairs:"excessive fire"with inflammation and"healthy qi consumption"with mitochondrial dysfunction.Chronic inflammation leads to continuous"qi consumption"and damage to mitochondrial structure and function,ultimately resulting in symptoms of qi deficiency such as tiredness and fatigue.The imbalance between qi and fire,leading to imbalance of yin and yang,is the primary pathogenesis of ITP-related fatigue,with the disease mainly affecting the spleen.Considering the etiology and pathogenesis of ITP,and relative equilibrium of yin-yang,the therapeutic approach of invigorating spleen and benefiting qi to promote the production of blood serves as a core treatment strategy.Previous research has demonstrated the clinical efficacy of Jianpi Yiqi Shexue Formula,consisting of milkvetch root,tangshen,Indian bread,largehead atractylodes rhizome,India madder root,and ass hide glue in treating patients with ITP-related fatigue.Designed to invigorate the spleen and regulate qi and blood,this formula aligns with the pathogenesis of ITP-related fatigue characterized by deficiency of spleen qi and stomach qi.The formula also modulates the expression levels of key proteins and genes involved in mitochondrial energy metabolism and alleviates the immune dysfunction.These findings highlight the potential for further research into the mechanism of ITP-related fatigue,particularly by using inflammation-mediated mitochondrial energy metabolism as a promising entry point.

Objective To investigate the neuroprotective effect of Tibetan medicine 70 Wei Pearl Pill(RNSP)on 6-hydroxydopamine(6-OHDA)induced Parkinson's disease model rats and its related mechanism.Methods Totally 48 male SD rats were randomly divided into control group,model group,model plus low-dose RNSP group(90 mg/kg),model plus medium-dose RNSP group(180 mg/kg),model plus high-dose RNSP group(360 mg/kg),and model plus madopar group(50 mg/kg),with 8 rats in per group.Except for the control group,the other rats were treated with 6-OHDA single injection into the striatum to establish the PD model.Each group was given intragastric administration after modeling and the control group and model group were given an equal volume of saline once a day for 4 weeks.The rats were subjected to apomorphine-induced rotation,experiments at the 2nd and 4th week after the completion of modeling,and the open field experiment was conducted the next day after the last rotation experiment to observe the animal behavior.After the behavioral experiment,the rats were stained with tyrosine hydroxylase(TH)in the substantia nigra pars compacta by immunohistochemical method and the positive neurons were counted.The protein levels of Bcl-2,BAX,Caspase-3 in substantia nigra and P38,P-P38,ERK,P-ERK,JNK,P-JNK in the striatum were detected by Western blotting.Results Compared with the control group,the rotation frequency and percentage of rotating rats in the model group increased significantly at the 2nd and 4th weeks after modeling;the open field active distance,average speed and times of crossing the grid were significantly decreased;and the rest time was significantly increased.While the number of TH positive neurons in the substantia nigra was significantly decreased,the BAX and Caspase-3 protein levels were increased significantly,Bcl-2 was decreased significantly,the ratios of P-P38/P38,P-JNK/JNK and P-ERK/ERK in the striatum were significantly increased in PD group.Compared with the model group,the rotation frequency and percentage of rotating rats in the low-,medium-and high-dose groups of RNSP had no significant changes after 2 weeks of administration,the rotation frequency in the high-dose group and percentage of rotating rats in the low-and medium-dose RNSP groups significantly decreased after 4 weeks of administration.The open field active distance,average speed,and times of crossing the grid were significantly increased;the rest time was significantly decreased.The number of TH positive neurons in the substantia nigra was significantly increased,the Bax and Caspase-3 protein levels were decreased significantly while the Bcl-2 was significantly increased.The ratios of P-P38/P38,P-JNK/JNK and P-ERK/ERK in the striatum were significantly decreased.Conclusion Tibetan medicine RNSP can improve the motor ability and reduce the loss of DA neurons in PD rats,and its mechanism may be related to inhibiting P38/JNK/ERK signaling pathway and reducing the apoptosis of midbrain neurons.

This study aims to investigate the mechanisms underlying the effects of the combined ac-tion of high-fat diet-induced obesity and the aflatoxin B1(AFB1)on hepatic oxidative stress and inflammatory responses.Thirty-six rats of similar weight and 4 weeks old were randomly divided into 4 groups,with 9 rats in each group:the blank control group(basal diet),the AFB1 group(0.4 mg/kg AFB1+basal diet),the HFD group(high-fat diet),and the HFD+AFB1 group(high-fat diet+0.4 mg/kg AFB1).Histological changes and lipid deposition were observed via hematox-ylin-eosin(HE)staining and Oil Red O staining.Levels of oxidative stress and inflammation-relat-ed factors were measured using commercial assay kits.The relative protein expression levels of factors involved in the Nrf2-Keap1 signaling pathway were assessed by Western blot analysis.The HE staining results showed that in the AFB1 group,the liver cells exhibited widespread watery de-generation,with shrunk and ruptured nuclei,inflammatory cells infiltration,and increased fibrosis.In the HFD group,liver cell fatty degeneration was observed,with cytoplasmic lipid droplet infil-tration.In the portal area,liver fibrosis was seen,with liver cell necrosis and inflammatory cell in-filtration in the fibrotic area,accompanied by lipofuscous granules.When HFD was applied to the AFB1 group,the abnormal state of liver interstitial and interstitial spaces was further aggravated,and a large number of lipid droplets appeared.The Oil Red O staining results showed that there were large numbers of dark red lipid droplets in the liver tissue of the HFD group,which were fused in strands.In the AFB1 group,lipid droplets could also be observed in the liver tissue of rats,but the number and degree were significantly less than those in the HFD group.The number and degree of red lipid droplets in the liver tissue of rats in the HFD+AFB1 group were higher than those in the AFB1 group and the HFD group.HFD exacerbated AFB1-induced oxidative stress by elevating ROS,MDA levels,and decreasing the expression of antioxidant stress factors such as CAT,SOD,Nrf2,HO-1,NQO1,and GCLC.Furthermore,the combined effect of HFD and AFB1 further significantly increased the levels of pro-inflammatory cytokines IL-2,IL-6,TNF-α,and IL-1β in the body.In summary,HFD treatment significantly exacerbated liver oxidative stress and in-flammatory responses in rats exposed to AFB1 through the Nrf2-keap1 signaling pathway.

Objective This study aims to summarize the situation,development experiences,and existing problems in the development of Hospital S,and provide relevant suggestions as a reference for the high-quality development path of public hospitals.Methods Thirteen managers of Hospital S(including hospital leaders,functional departments,and clinical depart-ment heads)and eight experts in the field of hospital management were selected as research subjects.The phenomenological re-search method of qualitative research was used,and semi-structured interviews were conducted to collect relevant data.The Co-laizzi phenomenological data analysis method was used to analyze the interview data.Results Through the analysis of the inter-view data,four themes related to high-quality development were identified:medical care,scientific research and teaching,tal-ents,and disciplines.Each theme has specific areas that need priority and focused attention.Under the theme of medical care,there are four sub-themes:medical quality,medical safety,medical technology,and medical services.Scientific research and teaching,as a strategic support for promoting the hospital's sustained high-quality development,includes four sub-themes:re-search innovation,achievement transformation,teaching system,and mentor team.Talents,as the core competitiveness of the hospital,include three sub-themes:top-level design,high-level talents,and training system.The discipline theme includes four sub-themes:development ideas,development opportunities,development directions,and discipline leaders.Conclusion Public hospitals are facing new situations in high-quality development,and accelerating the improvement of medical service capabilities is a direct manifestation of high-quality development.It is necessary to promote key work such as research innovation,teaching management,talent team building,and discipline construction in a coordinated manner to achieve synchronous improvement in quality and efficiency.

AIM:This study aims to investigate the therapeutic effects of Xiaozhen Fang(XZF)on epidermal growth factor receptor(EGFR)inhibitor,erlotinib-induced skin toxicity in mice,with a focus on the underlying functional mechanisms.METHODS:A mouse model of skin toxicity was established and divided into three groups(n=5 per group):blank,erlotinib(150 mg/kg),and erlotinib(150 mg/kg)combined with XZF(45 g/kg)groups.Skin toxicity se-verity and body weight were evaluated.Western blot was performed to detect protein levels of gasdermin D(GSDMD),caspase-1,and interleukin-1β(IL-1β)in skin tissue.Immunofluorescence was employed to analyze gasdermin E,IL-1β,caspase-1,and nucleotide-binding oligomerization domain-like receptor protein 3(NLRP3)expression in skin tissue.In vitro,HacaT cells were cultured and treated with erlotinib followed by different concentrations of XZF-containing se-rum.Cell viability was assessed by MTT assay.Cell ultrastructure was observed by transmission electron microscopy,and p53-binding protein 1(53BP1)expression was analyzed by immunofluorescence staining.RESULTS:The XZF signifi-cantly alleviated erlotinib-induced skin toxicity in mouse model,as evidenced by reduced rash incidence,alleviated limb swelling,and increased body weight(P<0.05).Expression of Gasdermins,IL-1β,caspase-1,and NLRP3 was distinctly down-regulated in dorsal skin tissue(P<0.05 or P<0.01).In vitro,XZF-containing serum markedly suppressed pyropto-sis in HacaT cells(P<0.01),preserved cell membrane integrity,and significantly reduced 53BP1 fluorescence intensity(P<0.01).CONCLUSION:The XZF mitigates EGFR inhibitor,erlotinib-induced skin toxicity in mice,potentially by regulating pyroptosis through the NLRP3/caspase-1/GSDMD signaling pathway.This mechanism exerts a cytoprotective ef-fect and alleviates erlotinib-induced skin toxicity.