AIM: To investigate the efficacy of Yangyin Yiqi Decoction combined with polyethylene glycol eye drops on dry eye disease after cataract surgery and its effect on inflammatory factors in tears.METHODS:Prospective study. A total of 104 patients(104 eyes)with dry eye disease after cataract surgery admitted to our hospital from April 2022 to March 2024 were selected and randomly divided into two groups: 52 cases(52 eyes)in the control group were treated with polyethylene glycol eye drops; 52 cases(52 eyes)in the combined group were treated with Yangyin Yiqi Decoction combined with polyethylene glycol eye drops. The dry eye symptom score, tear film stability index, tear inflammatory factor level, ocular surface disease index score(OSDI)and clinical efficacy of the two groups were compared before and after treatment.RESULTS:There were 6 cases(6 eyes)lost to follow-up, and 3 cases(3 eyes)were lost to follow-up in each group, with a loss to follow-up rate of 5.8%. The total effective rate of treatment in the combination group was significantly higher than that in the control group(94% vs 80%, P=0.037), and the Schirmer I test(SIt)and tear film break-up time(BUT)were higher than those in the control group(all P<0.05), and the dry eye symptom score, corneal fluorescein staining(FL)score, IL-1β, TNF-α, hs-CRP levels in tears and OSDI score were lower than those in the control group(all P<0.05).CONCLUSION:The combination of Yangyin Yiqi Decoction and polyethylene glycol eye drops provides an effective treatment plan for patients with dry eye disease after cataract surgery. It can effectively alleviate dry eye symptoms, reduce eye discomfort, improve tear film stability and ocular surface status, and reduce inflammatory factors in tears.

The rapid development of artificial intelligence (AI), especially generative AI (GenAI), has already brought, and will continue to bring, revolutionary changes to our daily production and life, as well as create new opportunities and challenges for diagnostic and therapeutic practices in the medical field. Haihe Hospital of Tianjin University collaborates with the National Supercomputer Center in Tianjin, Tianjin University, and other institutions to carry out research in areas such as smart healthcare, smart services, and smart management. We have conducted research and development of a full-process disease diagnosis and treatment assistance system based on GenAI in the field of smart healthcare. The development of this project is of great significance. The first goal is to upgrade and transform the hospital's information center, organically integrate it with existing information systems, and provide the necessary computing power storage support for intelligent services within the hospital. We have implemented the localized deployment of three models: Tianhe "Tianyuan", WiNGPT, and DeepSeek. The second is to create a digital avatar of the chief physician/chief physician's voice and image by integrating multimodal intelligent interaction technology. With generative intelligence as the core, this solution provides patients with a visual medical interaction solution. The third is to achieve deep adaptation between generative intelligence and the entire process of patient medical treatment. In this project, we have developed assistant tools such as intelligent inquiry, intelligent diagnosis and recognition, intelligent treatment plan generation, and intelligent assisted medical record generation to improve the safety, quality, and efficiency of the diagnosis and treatment process. This study introduces the content of a full-process disease diagnosis and treatment assistance system, aiming to provide references and insights for the digital transformation of the healthcare industry.
Artificial Intelligence ; Humans ; Delivery of Health Care ; Generative Artificial Intelligence

OBJECTIVE: To develop a digital intelligent multimodal shift handover system for the intensive care unit (ICU) and evaluate its application effect in ICU shift handovers. METHODS: A research and development team was established, consisting of 1 department director, 1 head nurse, 3 information technology engineers, 3 nurses, and 2 doctors. Team members were assigned responsibilities including overall coordination and planning, platform design and maintenance, pre-application training, collection and organization of clinical feedback, and research investigation respectively. A digital intelligent multimodal shift handover system was developed for ICU based on the Shannon-Weaver linear transmission model. This innovative system integrated automated data collection, intelligent dynamic monitoring, multidimensional condition analysis and visual reporting functions. A cloud platform was used to gather data from multi-parameter vital signs monitors, infusion pumps, ventilators and other devices. Artificial intelligence algorithms were employed to standardize and analyze the data, providing personalized recommendations for healthcare professionals. A self-controlled before-after method was adopted. Before the application of the ICU digital intelligent multimodal shift handover system (from December 2023 to March 2024), the traditional verbal bedside handover was used; from June 2024 to March 2025, the ICU digital intelligent multimodal shift handover system was applied for shift handovers. Questionnaires before the application of the shift handover system were collected in April 2024, and those after the application were collected in April 2025. The shift handover time, handover quality (scored by the nursing handover evaluation scale), satisfaction with doctor-nurse communication (scored by the ICU doctor-nurse scale) before and after the application of the handover system were compared, and nurses' satisfaction with the shift handover system (scored by the clinical nursing information system effectiveness evaluation scale) was investigated. RESULTS: After the application of the ICU digital intelligent multimodal shift handover system, the shift handover time was significantly shorter than that before the application [minutes: 20 (15, 25) vs. 30 (22, 40)], the handover quality was significantly higher than that before the application [score: 84.0 (78.0, 88.5) vs. 71.0 (55.0, 79.0)], and the satisfaction with doctor-nurse communication was also significantly higher than that before the application (score: 84.58±6.79 vs. 74.50±11.30). All differences were statistically significant (all P < 0.05). In addition, the nurses' system effectiveness evaluation scale score was 102.30±10.56, which indicated that nurses had a very high level of satisfaction with the ICU digital intelligent multimodal shift handover system. CONCLUSIONS The application of the ICU digital intelligent multimodal shift handover system can shorten the shift handover time, improve the handover quality, and enhance the satisfaction with doctor-nurse communication. Nurses have a high level of satisfaction with this system.
Intensive Care Units ; Humans ; Patient Handoff ; Artificial Intelligence ; Algorithms

ObjectiveTo investigate the association of SH2B1 rs7359397 （C>T） polymorphism with the progression to hepatic fibrosis in the elderly patients with metabolic dysfunction-associated steatotic liver disease （MASLD） in Beijing， China， and to provide an important genetic basis for the precise subtyping， prognostic evaluation， and individualized treatment of elderly MASLD patients in China. MethodsA total of 505 elderly patients （aged ≥65 years） who participated in regular physical examination in Mentougou Kuangshan Hospital of Beijing Jingmei Group General Hospital from November 2020 to September 2021 and were diagnosed with MASLD by abdominal ultrasound were enrolled as MASLD group， and 381 elderly population who underwent physical examination in the same community hospital during the same period of time and were not found to have MASLD by abdominal ultrasound were enrolled as control group. FibroScan was used to measure liver fat content and determine fibrosis stage. The 96-well microfluidic chip technique was used to identify SH2B1 rs7359397 polymorphism. The independent-samples t test was used for comparison of normally distributed continuous data between the two groups， and the chi-square test or the adjusted chi-square test was used for comparison of categorical data between the two groups. Univariate and multivariate Logistic regression analyses were used to identify the independent predictive factors for MASLD and its comorbidities. ResultsCompared with the control group， the MASLD group had a significantly younger age and significantly higher levels of waist circumference， hip circumference， waist-hip ratio， body mass index （BMI）， alanine aminotransferase， aspartate aminotransferase， triglyceride， platelet count， and fibrosis-4 （FIB-4） index， as well as a significantly lower level of high-density lipoprotein cholesterol （all P<0.05）. Among the 381 patients in the control group， 264 （69.29%） had genotype CC and 117 （30.71%） had genotype CT+TT， while among the 505 patients in the MASLD group， 317 （62.77%） had genotype CC and 188 （37.23%） had genotype CT+TT， suggesting that the MASLD group had a significantly higher proportion of patients with genotype CT+TT compared with the control group （χ²=4.09， P=0.043）. In the MASLD group， compared with the genotype CC group， the genotype CT+TT group had a significantly lower proportion of patients with FIB-4 ≥2 or atherosclerotic cardiovascular diseases （P<0.05）. The multivariate Logistic regression analysis showed that after adjustment for age， sex， and BMI， carrying T allele was a protective factor against progressive hepatic fibrosis （odds ratio ［OR］=0.481， 95% confidence interval ［CI］： 0.249 — 0.929， P=0.029）. In the subgroups of comorbidities with hypertension， metabolic syndrome， and obesity， genotype CT+TT was associated with a significant reduction in the risk of progressive hepatic fibrosis （hypertension： OR=0.27， 95%CI：0.09 — 0.77， P=0.014； metabolic syndrome： OR=0.30， 95%CI： 0.11 — 0.79， P=0.015； obesity： OR=0.11， 95%CI： 0.03 — 0.48， P=0.003）. After adjustment for age， sex， and BMI， in the patients with MASLD， the patients with genotype CT+TT had a significant reduction in the prevalence rate of atherosclerotic cardiovascular diseases compared with those with genotype CC （OR=0.506， 95%CI：0.336 — 0.761， P=0.001）. ConclusionSH2B1 rs7359397 （C>T） polymorphism is associated with the reduction in the risk of hepatic fibrosis and atherosclerotic cardiovascular diseases in MASLD patients.

Objective:To evaluate the abnormal changes in the liver stiffness (LS) in the pregnant women with or without hypertensive disorder of pregnancy (HDP) using conventional ultrasound and two-dimensional shear wave ultrasound elastography (2D-SWE).Methods:A total of 73 pregnant women were enrolled and diagnosed in the Second Affiliated Hospital of Dalian Medical University from May to September 2023. They were divided into pregnant women without HDP (group A, 36 cases), and pregnant women with HDP (group B, 37 cases). Another 36 healthy volunteers were enrolled in the control group (group C). The thickness and length of the left lobe of the liver, the maximum oblique diameter of the right lobe of the liver and the diameter of the main trunk of the portal vein were measured with two-dimensional ultrasound. The velocity of the portal vein was measured with pulse wave Doppler. 2D-SWE technique was used to measure LS (E mean). Parameters were compared among the groups. Results:The right hepatic oblique diameters in groups A and B were larger than those in group C: 13.87 (0.54) cm and 13.95 (0.36) cm vs. 13.56 (1.02) cm (all P<0.01), but there was no significant difference in the right hepatic oblique diameter between group A and group B ( P>0.05). E mean in both group A and group B were greater than those in group C: 5.02 (0.62) kPa and 5.99 (0.31) kPa vs. 4.76 (0.08) kPa ( P<0.01). E mean in group B was greater than that in group A ( P<0.05). Systolic and diastolic blood pressure were independent impact factors of Emean ( P<0.05). E mean and diastolic blood pressure were independent impact factors of HDP ( P<0.05). Conclusions:2D-SWE technique could be used to accurately, objectively and non-invasively evaluate abnormal the changes of liver stiffness in patients with HDP.

Objective Exploring the feasibility and effectiveness of collaborative visits between doctors and nurses in tra-ditional Chinese medicine specialty nursing clinics for spleen and stomach diseases.Methods Using the principle of hospital se-lection to determine the visiting caregiver,and collaborating with specialist physicians to establish a specialized Traditional Chi-nese Medicine specialty nursing clinic for spleen and stomach diseases.By conducting a questionnaire survey on patients who visi-ted the Traditional Chinese Medicine specialty nursing outpatient clinic for spleen and stomach disease in 2023 through medical and nursing collaboration and in 2019 through individual visits by caregivers,we analyzed their satisfaction with medical nursing services.Results Since the implementation of collaborative visits between traditional Chinese medicine specialty nursing clinics for spleen and stomach diseases,the number of nursing clinics has increased from 35 people/month in 2019 to 148 people/month in 2023,and the visit time has been increased from 1 time/week in 2019 to 3 times/week in 2023.The satisfaction level of medi-cal nursing services among patients who received collaborative visits from nursing clinics in 2023 was higher than that of patients who received individual visits from nurses in 2019,and the difference was statistically significant(P＜0.05).Conclusion The implementation of collaborative outpatient visits for traditional Chinese medicine specialty nursing in the spleen and stomach dis-ease specialty has expanded the connotation of traditional Chinese medicine nursing services,met the growing individualized and diversified needs of patients,and improved their satisfaction with medical nursing services.

Background::Gastric cancer (GC), a malignant tumor with poor prognosis, is one of the leading causes of cancer-related deaths worldwide; consequently, identifying novel therapeutic targets is crucial for its corresponding treatment. NUF2, a component of the NDC80 kinetochore complex, promotes cancer progression in multiple malignancies. Therefore, this study aimed to explore the potential of NUF2 as a therapeutic target to inhibit GC progression. Methods::Clinical samples were obtained from patients who underwent radical resection of GC at Lanzhou University Second Hospital from 2016 to 2021. Cell count assays, colony formation assays, and cell-derived xenotransplantation (CDX) models were used to determine the effects of NUF2 on GC progression. Flow cytometry was used to detect the effect of NUF2 or quercetin on cell cycle progression and apoptosis. A live-cell time-lapse imaging assay was performed to determine the effect of NUF2 on the regulation of mitotic progression. Transcriptomics was used to investigate the NUF2-associated molecular mechanisms. Virtual docking and microscale thermophoresis were used to identify NUF2 inhibitors. Finally, CDX, organoid, and patient-derived xenograft (PDX) models were used to examine the efficacy of the NUF2 inhibitor in GC. Results::NUF2 expression was significantly increased in GC and was negatively correlated with prognosis. The deletion of NUF2 suppressed GC progression both in vivo and in vitro. NUF2 significantly regulated the mitogen-activated protein kinase (MAPK) pathway, promoted G2/M phase transition, and inhibited apoptosis in GC cells. Additionally, quercetin was identified as a selective NUF2 inhibitor with low toxicity that significantly suppressed tumor growth in GC cells, organoids, CDX, and PDX models. Conclusions::Collectively, NUF2-mediated G2/M phase transition and apoptosis inhibition promoted GC progression; additionally, NUF2 inhibitors exhibited potent anti-GC activity. This study provides a new strategy for targeting NUF2 to suppress GC progression in clinical settings.

Objective:To assess the diagnostic value of anti-salivary gland protein-1(SP1)antibody combined with anti-parotid secretory protein(PSP)antibody for Sj?gren's syndrome(SS).Methods:A total of 60 patients with primary SS(pSS)who were treated in the outpatient and inpatient department of Department of Rheumatology and Immunology of the Second Hospital of Hebei Medical University from January 2020 to December 2022 were collected.Thirty patients with other autoimmune diseases accompa-nied by dry mouth and/or dry eyes were collected as disease control group.Thirty healthy subjects from the physical examination center were collected for healthy control group,serum samples were obtained from all of them.Their general features and clinical information including clinical manifestations,labora-tory examinations and other examinations were recorded.The 2016 American College of Rheumatology(ACR)/European League against Rheumatism(EULAR)classification criteria were adopted as the diag-nostic standard of pSS.Immunoglobulin G(IgG)subtype of anti-SP1 antibody and anti-PSP antibody were detected by chemiluminescence immunoassay.The receiver operating characteristic(ROC)curve was used to evaluate the accuracy of anti-SP1 antibody and anti-PSP antibody in diagnosing pSS.The cli-nical characteristics of anti-SP1 antibody and anti-PSP antibody positive patients and negative patients in pSS group were further compared.Independent samples t test,Mann-Whitney U test,variance analysis,Kruskal-Wallis test,Chi-square test or Fisher's exact test and Spearman correlation analysis were used for statistical analysis.Results:There was no significant difference in age(F=1.406,P=0.495)and gender(x2=2.105,P=0.349)among pSS group,disease control group and healthy control group.The expression levels of anti-SP1 antibody(H=16.73,P＜0.001)and anti-PSP antibody(H=26.09,P＜0.001)were statistically different among the three groups.An intergroup comparison of anti-SP1 antibody expression levels showed that there was a statistically significant difference between pSS and healthy con-trol group(P＜0.001),but no statistically significant difference between the other groups.Comparison of anti-PSP antibody expression levels between the groups showed that there were statistically significant differences between pSS and healthy control group(P＜0.001),and between disease control group and healthy control group(P=0.009),while no statistically significant differences between the other groups.The positive rate of anti-SP1 antibody in pSS group was significantly higher than that in disease control group and healthy control group(58.33％vs.40.00％vs.13.33％,P＜0.001).The positive rate of anti-PSP antibody in pSS group was significantly higher than that in disease control group and healthy control group(75.00％vs.56.17％vs.16.67％,P＜0.001).The area under the curve for anti-SP1 antibody was 0.688(P＜0.001).The sensitivity and specificity of anti-SP1 antibody were 58.33％(35/60)and 70.00％(42/60)respectively,the positive predictive value was 66.04％(35/53)and the negative predictive value was 54.55％(42/77)of anti-SP1 antibody.The area under the curve of anti-PSP antibody was 0.720(P＜0.001),with a sensitivity was 75.00％(45/60),and spe-cificity was 63.33％(38/60).The positive predictive value and negative predictive value of anti-PSP an-tibody were 67.16％(45/67)and 71.70％(38/53)respectively.All the 13 pSS patients were negative for anti-Sjogren's syndrome A(SSA,including SSA52 and SSA60)antibody and anti-Sjogren's syn-drome B(SSB)antibody.Among them,11 patients were positive for both anti-SP1 antibody and anti-PSP antibody,1 patient was positive for anti-SP1 antibody and 1 patient was positive for anti-PSP anti-body.The clinical features of anti-SP1 antibody and anti-PSP antibody positive and negative groups were compared in pSS patients.The duration of disease in anti-SP1 antibody positive group was shorter(Z=-2.277,P=0.023)when compared with the negative patients.The patients with positive anti-PSP an-tibody were younger than those in the negative group(t=2.598,P＜0.05),the positive rate of rheuma-toid factor(P=0.002)and the serum level of IgG(t=3.806,P=0.003)in anti-PSP antibody positive group were higher than in the negative group.Analysis of the correlation between anti-SP1 antibody and anti-PSP antibody in the pSS patients showed that there was significant correlation between them(r=0.801,P＜0.001).Conclusion:Both anti-SP1 antibody and anti-PSP antibody are valuable in the diag-nosis of SS,and anti-SP1 antibody is helpful for the early diagnosis of pSS.The combined detection of anti-SP1 antibody and anti-PSP antibody is helpful for the early diagnosis of pSS patients with negative anti-SSA antibody and anti-SSB antibody.

ObjectiveThis study aims to explore the potential mechanism of Danggui Niantongtang in treating knee osteoarthritis （KOA） by regulating the intestinal flora through 16S rDNA analysis. MethodThirty-six C57BL/6J mice were subjected to anterior cruciate ligament transection （ACLT） to establish a KOA model and were randomly divided into the sham surgery group， model group， low-dose Danggui Niantongtang group （0.819 g·kg^-1）， medium-dose Danggui Niantongtang group （1.638 g·kg^-1）， high-dose Danggui Niantongtang group （3.276 g·kg^-1）， and Meloxicam group （0.975 mg·kg^-1）， with 6 mice in each group. Except for the treatment groups， the sham surgery group and model group were given normal saline by gavage. After 4 weeks of continuous intervention， feces and intact knee joints of the mice were collected. Hematoxylin-eosin （HE） staining and Safranin O-Fast Green staining were performed to observe the pathological changes in knee joint tissue morphology. The 16S rDNA sequencing was used to analyze changes in the abundance and diversity of intestinal microorganisms before and after treatment， along with corresponding functional predictions. ResultHigh-dose Danggui Niantongtang and Meloxicam significantly relieved pain symptoms in KOA mice， improved the disorder of joint structure， maintained the integrity of knee articular cartilage， increased the expression of type Ⅱ collagen alpha 1 （Col2a1） in articular cartilage， and decreased the expression of matrix metalloproteinase-13 （MMP-13）. The results of 16S rDNA sequencing showed that high-dose Danggui Niantongtang could adjust the abundance and structure of intestinal microbial species. Compared with the sham surgery group， the abundance of Proteobacteria， Actinobacteria， Ruminococcus， and Bacteroides was significantly increased in the model group （P<0.05）， while in the Danggui Niantongtang group， the abundance of these four flora was significantly reduced compared with the model group. Compared with the sham surgery group， the abundance of Verrucomicrobia， Oscillospira， and Akkermansia was significantly decreased in the model group （P<0.05）， while in the Danggui Niantongtang groups， the abundance of these three flora was significantly increased compared with the model group （P<0.05）. Functional pathway prediction of differential genera revealed that species differences among groups mainly involved metabolic pathways with high abundance associated with biosynthesis and precursors， as well as energy production， including amino acid biosynthesis， nucleotide and nucleoside biosynthesis， cofactors， prosthetic groups， electron carriers， and vitamin biosynthesis. ConclusionDanggui Niantongtang can effectively protect articular cartilage and delay the progression of KOA， possibly by regulating the structure of the intestinal flora， promoting probiotics， and inhibiting the growth of harmful pathogenic bacteria.

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.