Employing bibliometric analysis methods， this paper retrieved literature on doctor-patient conversation analysis from the China National Knowledge Infrastructure （CNKI） and Web of Science Core Collection （WOSCC） databases from their establishment to March 18， 2024. It analyzed various characteristics with CiteSpace and explored the research status， hotspots， and frontier trends of doctor-patient conversation analysis through visual analysis. The results found that among the 114 documents from CNKI and 337 documents from WOSCC， the United Kingdom and the United States occupied a core position in the research， while Shanxi University and the University of California system demonstrated outstanding productivity in the Chinese and English databases， respectively. International institutional cooperation was close， whereas domestic cooperation was relatively weak. Several scholars， both at home and abroad， had a considerable number of publications and citations. High-impact papers in China were relatively insufficient， and research themes were diverse. Keyword analysis indicated that research hotspots have shifted toward the role of doctor-patient conversations in constructing patient‐centered doctor-patient relationships， while online medical contexts represented an emerging research content.

The emergence and development of immune checkpoint inhibitors have ushered in the era of immunotherapy for hepatocellular carcinoma (HCC). The emerging treatment methods not only bring long-term survival hope to patients with advanced HCC, but also profoundly influence the clinical practice of liver transplantation for HCC. However, the current clinical evidence regarding the use of immunotherapy during the perioperative period of liver transplantation for HCC patients is still limited, and the potential clinical benefits coexist with the risk of rejection. How to establish a predictable and manageable management system in key aspects, such as the selection of beneficiaries, adjustment of immunosuppressive regimens and early warning of rejection, is a core issue that urgently needs to be addressed. This article combines existing research and the author's clinical experience to focus on liver transplantation for HCC under the background of immunotherapy, analyzes the current key problems, aiming to provide references for clinical practice and promote the conduct of high-quality clinical research.

OBJECTIVE To evaluate the quality of Yindan huoxue tongyu granules. METHODS Taking high performance liquid chromatography with ultraviolet and evaporative light scattering detection as method， the fingerprint of 15 batches of Yindan huoxue tongyu granules was established， and similarity evaluation was performed by Similarity Evaluation System of Chromatographic Fingerprint of TCM （2012 edition） to determine common peaks. The common peaks were identified by comparing with reference substance chromatograms and single decoction piece chromatograms. Network pharmacology was used to screen out core targets and pathways of identified components， construct a “component-target-pathway” network diagram， and predict the pharmacodynamic components of Yindan huoxue tongyu granules， and the content determination of these components was carried out by the same method. RESULTS HPLC fingerprints of 15 batches of Yindan huoxue tongyu granules were characterized with 40 common peaks， and 17 components including salvianolic acid B， astragaloside Ⅳ， notoginsenoside R1， and ginkgolide A were identified. Network pharmacology predicted that 17 components mainly acted on 97 core targets and 137 pathways to exert their pharmacological effect. Average contents of 13 bioactive components in 15 batches of samples were 0.126 8， 0.232 0， 0.073 8， 0.353 2， 3.620 2， 0.191 0， 0.333 3， 0.317 4， 0.785 0， 0.538 2， 0.460 0， 2.475 1 and 0.347 7 mg/g， including calycosin-7-O-β-D-glucoside， rosmarinic acid， formononetin， lithospermic acid， salvianolic acid B， ononin， ginsenoside Rb1， ginsenoside Rd， ginkgolide C， ginkgolide A， ginkgolide B， notoginsenoside R1， and astragaloside Ⅳ. CONCLUSIONS The established fingerprint of Yindan huoxue tongyu granules can reflect the overall characteristics of the preparation. The content determination method for its pharmacodynamic components， developed in combination with network pharmacology， is accurate， reliable， and exhibits good repeatability， making it suitable for evaluating the quality of Yindan huoxue tongyu granules.

Objective:This study aims to develop a laboratory-based predictive model for early neurological deterioration (END) in patients with acute cerebral infarction (ACI) using baseline data collected at hospital admission.Methods:This study was a retrospective cohort study. Clinical and baseline laboratory test data from 502 patients with ACI admitted to the Department of Neurology at our hospital between January 1, 2022 and May 31, 2025. Of these patients, 313 were male and 189 were female, with a median age of 67 years (interquartile range: 58-73). Patients were classified into an END group and a non-END group according to the occurrence of END within 7 days of admission. Subsequently, using the caret package in R (version 4.4.2), the dataset was randomly divided into a training set ( n=351) and a validation set ( n=151) at a 7∶3 ratio, with END status as the stratification variable and a fixed random seed to ensure reproducibility. Following baseline characteristic comparisons between groups, these datasets were used for model development and validation, respectively. The differences in clinical indicators between the two patients groups were assessed using the chi-square test and the Wilcoxon rank sum test. In the training group, Lasso regression was utilized to identify variables significantly associated with END. Seven machine learning algorithms-decision tree (DT), random forest (RF), light gradient boosting machine (LGBM), extreme gradient boosting (XGB), K-nearest neighbors (KNN), support vector machine (SVM), and logistic regression (LR)-were employed to develop predictive models. The optimal hyperparameters were determined via grid search integrated with 5-fold cross-validation. The final algorithm was selected based on comprehensive model performance evaluation. Additionally, clinical data of 79 patients with ACI, collected between June 1 to August 31, 2025, were compiled as an independent test set for external validation. The cohort comprised 49 males and 30 females, with a median age of 68 years (interquartile range: 57-72). The SHapley Additive exPlanations (SHAP) method was employed to access feature importance and model interpretability. SHAP dependence plots and interaction plots were utilized to emplore the nonlinear relationships and interaction effects among the featurevariables. Results:Among the 502 patients, 166 experienced END during 7 days of hospitalization. Lasso regression identified nine significant predictors: history of hyperlipidemia, admission NIHSS score, lymphocyte-to-monocyte ratio (LMR), hemoglobin, D-dimer, albumin, neuron-specific enolase (NSE), homocysteine (HCY), and vitamin B12. The area under the receiver operating characteristic curve (AUC) for the seven machine learning models ranged from 0.709 to 0.946. The XGB model achieved the highest predictive performance, with an AUC of 0.946 (95% CI 0.924-0.960) in the training cohort and 0.867 (95% CI 0.902-0.933) in the validation cohort. SHAP analysis revealed that the top five variables contributing to END prediction were admission NIHSS score, HCY, D-dimer, history of hyperlipidemia, and vitamin B12. Conclusion:This study successfully developed a laboratory-based prediction model for END using the XGB machine learning algorithm, which demonstrated strong predictive performance.

Insufficient future liver remnant volume remains a critical limitation for single-stage resection in patients with hepatic malignancies. The techniques for promoting future liver remnant hypertrophy to realize two-stage hepatectomy include portal vein embolization， associating liver partition and portal vein ligation for staged hepatectomy， and portal vein ligation. In recent years， the application of auxiliary liver transplantation has further facilitated two-stage total hepatectomy. This article systematically reviews the clinical applications of these techniques and analyzes their advantages and limitations， so as to provide a reference for optimizing clinical decision-making.

OBJECTIVE: To analyze four patients with a 16q22 fragile site with miscarriage or infertility by using cytogenetic methods. METHODS: Four patients presented at Northwest Women's and Children's Hospital between January 2022 and December 2024 were selected as the study subjects. Peripheral blood samples were collected from the patients and subjected to G-banded chromosomal karyotyping, among whom two were also subjected to copy number variation (CNV) sequencing. This study has been approved by the Ethics Committee of the Hospital (Ethics No. 2020-022). RESULTS: The chromosomal karyotypes of the patients were mos 46,XX,fra(16)(q22)[26]/47,XX,del(16)(q22),+chrb(16)(q22)[4]/46,XX,del(16)(q22)[3]/46,XX[91], mos 46,XY,fra(16)(q22)[21]/46,XY,del(16)(q22)[3]/46,XY[76], mos 46,XX,fra(16)(q22)[21]/ 46,XX,del(16)(q22)[4]/46,XX[75] and mos 46,XX,fra(16)(q22)[16]/46,XX,del(16)(q22)[7]/47,XX,del(16)(q22),+chrb(16)(q22)[6]/47,XX,fra(16)(q22),+chrb(16)(q22)[3]/46,XX[68], respectively. CNV sequencing of patients 2 and 4 revealed no deletion or duplication on chromosome 16. CONCLUSION Identification of the 16q22 fragile site has facilitated genetic counseling for these patients.
Humans ; Chromosome Fragile Sites/genetics* ; Chromosomes, Human, Pair 16/genetics* ; DNA Copy Number Variations/genetics* ; Karyotyping

Objective To analyze the risk factors,traditional Chinese medicine(TCM)syndromes,and pathogen distribution in patients with bronchiectasis(BE)complicated with type 2 diabetes mellitus(T2DM).Methods From June 2022 to June 2024,a total of 299 patients with acute exacerbation of BE admitted to Guangdong Integrated Chinese and Western Medicine Hospital Affiliated to Guangzhou University of Chinese Medicine were selected.Based on the presence of T2DM,the patients were divided into the BE-T2DM group(74 cases)and the BE-only group(225 cases).Clinical data of the patients were collected,and univariate analysis and multivariate logistic regression models were used to identify risk factors for BE complicated with T2DM.TCM syndromes and pathogen distribution were statistically analyzed.Results(1)Univariate analysis showed that there were statistically significant differences between the two groups in gender,age,body mass index(BMI),hypertension,coronary atherosclerotic heart disease(shortened to coronary heart disease),atherosclerosis,the ratio of forced expiratory volume in one second to forced vital capacity(FEV1/FVC),white blood cell count(WBC),neutrophil count analysis for the risk factors showed that gender,BMI,hypertension,and FEV1/FVC were the independent risk factors for BE complicated with T2DM.(2)In terms of the distribution of TCM syndromes,both groups were mainly characterized by phlegm-heat accumulating in the lung syndrome and phlegm-damp obstructing the lung syndrome,and BE-T2DM group had a higher proportion of phlegm-heat accumulating in the lung syndrome.(3)For the infection of pathogens,BE-T2DM group had a higher infection rate of Haemophilus influenzae,Acinetobacter baumannii,and Klebsiella pneumoniae,while the BE-only group was predominantly infected with Pseudomonas aeruginosa;BE-T2DM group had a significantly higher rate of viral infections,mainly infected with influenza A virus,rhinovirus,and SARS-CoV-2;BE-T2DM group also suffered from fungal infections,usually infected with Candida albicans.Conclusion For BE patients complicated with T2DM,the independent risk factors are gender,BMI,hypertension,and FEV1/FVC;the common TCM syndromes are phlegm-heat accumulating in the lung and phlegm-damp obstructing the lung;pathogen infections are mainly caused by Gram-negative bacteria,viruses,and fungi.

Objective To develop an endothelialized microfluidic chip model that simulates the spatial architecture and bioactivity of retinal vasculature,enabling thrombosis modeling and thrombolytic efficacy validation.Methods A tri-level microvascular network chip(300/200/100 μm diameters)with bifurcated architecture was fabricated using soft lithography.Human retinal microvascular endothelial cells(HRMECs)were perfused into channels,with endothelial coverage monitored via phase-contrast microscopy and F-actin staining.Cellular bioactivity was assessed using mitochondrial membrane potential probes(5,5,6,6-Tetrachloro-1,1,3,3-tetraethylbenzimidazolylcarbocyanine iodide,JC-1)and nitric oxide(NO)quantification.Fresh blood samples from 10 healthy donors(Yongchuan Hospital Affiliated to Chongqing Medical University,March to June 2024)were perfused with digital injection pump to mimic blood flow in human body into 3 experimental groups:normal whole blood,and TNF-α-activated endothelium+normal blood,TNF-α-activated endothelium+TNF-α-treated blood.Three inlet blood flow rates of 37.8、11.1 and 3.5 μL/min were set in each group.Two experimental groups,normal saline and recombinant human tissue-type plasminogen activator(rtPA),were established using the endothelialized microfluidic thrombosis model to validate thrombolytic efficacy.Endothelial functional impacts were assessed through integrated DAPI/NO staining and thrombosis model analysis across 3 intervention phases:pre-thrombosis,post-thrombosis,and post-thrombolysis.Results A tri-level microfluidic vascular model(300/200/100 μm diameters)was successfully constructed.In 72 h after endothelial cell perfusion,complete channel coverage was achieved,with phase-contrast microscopy and F-actin staining confirming confluent cellular alignment.JC-1/NO assays validated preserved endothelial bioactivity.Compared with the whole blood group,both TNF-α-activated endothelium+normal blood and TNF-α-activated endothelium+TNF-α-treated blood groups exhibited significantly increased thrombus occupancy rates at identical flow rates(all P<0.001).Notably,TNF-α-activated endothelium+TNF-α-treated blood group demonstrated the highest thrombus ratio at 3.5 μL/min(P<0.001).The rtPA group showed superior thrombolytic efficacy versus saline(P<0.001).Endothelial monolayer integrity was maintained across intervention phases,with thrombosis triggering significant NO elevation(P<0.001).Conclusion Our retinal vasculature-mimetic microfluidic model enables precise thrombosis modeling and drug evaluation,providing new methodology for studying retinal vascular occlusive diseases.

Allergen immunotherapy（AIT）can alter the natural course of allergic diseases through immunomodulatory mechanisms and maintain the efficacy after completion. The induction of immune tolerance by AIT is considered to be effective treatment and the mechanism involves the participation of a variety of immune cells，including effector T cells，B cells，dendritic cells，innate lymphoid cells，mast cells and basophils. Studies have found that a variety of immune cells in peripheral blood changed during AIT treatment and the changes of some immune cells were related to the efficacy of AIT，which may provide some theoretical reference for practical clinical activities and may become potential biomarkers for predicting and evaluating the efficacy of AIT. This article reviews the changes of peripheral blood immune cells in the treatment of AIT.

Amblyopia is a common visual development disorder and is the main cause of monocular vision impairment in children and adults. Photobiomodulation(PBM), a non-invasive treatment method, has gradually gained attention in the field of ophthalmology. This paper begins with the macroscopic manifestation of light on the animal model of amblyopia. Additionally, it discusses the pathological changes of the amblyopic retina and the human eye's central nervous system, as well as the influence and mechanism of PBM on the visual perception and processing system and its chemical effect on the visual system through dopamine and melatonin. It examines its mechanism of action, current clinical application status, and future development direction in order to provide new ideas and theoretical foundation for amblyopia treatment.