In the era of evidence-based medicine， the progress of medical science and technology has enriched medical diagnostic tools and treatment methods， but it has also led to the loss of medical warmth and the alienation of the doctor-patient relationships. William Osler emphasized that while medical technology advances， attention should also be paid to the practice of narrative medicine and the development of physician’s narrative literacy. The view of the physician he advocated reminds us that the core of medicine still lies in the narrative connection between doctors and patients， as well as a deep understanding of human nature. By exploring the relationship between Osler’s view of the physician and narrative medicine as well as physician’s narrative literacy， this paper analyzed the methods of cultivating physician’s narrative literacy， providing references for modern medical education and practice， and assisting in the harmony and unity of science and technology and humanity.

OBJECTIVES: To analyze the multimorbidity patterns and core diseases among hospitalized patients in different age groups and to explore the impacts of multimorbidity patterns on hospitalization costs. METHODS: Electronic medical records of adult inpatients (aged ≥18 years) from Ningbo Medical Center Lihuili Hospital between January 1, 2018, and June 30, 2023 were collected. The multimorbidity status involving 53 specific diseases was analyzed across different age groups. Association rule mining was used to identify common multimorbidity patterns. Complex network analysis was used to identify core diseases within the multimorbidity networks. Generalized estimating equations (GEE) were used to analyze the impact of different multimorbidity patterns on hospitalization costs. RESULTS: The prevalence of multimorbidity among the 359 402 adult inpatients was 38.51%, with higher rates observed in males (43.60%) and elderly patients (58.29%). Association rule mining identified 15 common multimorbidity patterns, which exhibited differences across age groups. The most prevalent multimorbidity pattern overall was "diabetes→hypertension" (support=7.04%, confidence=62.17%, lift=2.17). In the young adult group, the most prevalent pattern was "dyslipidemia→chronic liver disease" (support=1.19%, confidence=53.17%, lift=6.04). In the middle-aged group, it was "diabetes→hypertension" (support=4.84%, confidence=50.28%, lift=2.15). In the elderly group, it was "coronary heart disease, diabetes→hypertension" (support=2.38%, confidence=77.43%, lift=1.63). Complex network analysis revealed that the core diseases within multimorbidity networks differed across age groups. The core disease identified in the young adult group was chronic liver disease (degree centrality=50, betweenness centrality=0.055, closeness centrality=0.963). Core diseases in the middle-aged group included hypertension, chronic liver disease, and diabetes (all with degree centrality=52, betweenness centrality=0.022, closeness centrality=1.000). Core diseases in the elderly group comprised hypertension, diabetes, malignant tumors, chronic liver disease, thyroid disease, anemia, and arrhythmia (all with degree centrality=52, betweenness centrality=0.009, closeness centrality=1.000). Generalized estimating equations analysis indicated that, most multimorbidity patterns were significantly associated with increased hospitalization costs. However, the magnitude of cost increase varied across different multimorbidity patterns. Specifically, hospitalization costs for patients with patterns such as "heart failure→hypertension", "stroke→hypertension", "malignant tumor, diabetes→hypertension", "stroke, diabetes→hypertension", and "diabetes, heart failure→hypertension" were more than double those of patients without any target diseases. CONCLUSIONS Multimorbidity patterns and core diseases among hospitalized patients differ significantly across age groups, and different patterns exert varying impacts on hospitalization costs. These findings underscore the necessity for age-stratified and multimorbidity pattern specific management strategies.
Humans ; Multimorbidity ; Male ; Hospitalization/economics* ; Female ; Aged ; Middle Aged ; Adult ; Age Factors ; Young Adult ; Adolescent ; Diabetes Mellitus/epidemiology* ; Electronic Health Records ; Aged, 80 and over ; Hospital Costs ; China/epidemiology* ; Hypertension/economics* ; Liver Diseases/epidemiology*

Objective:To analyze the effects of biodegradable-polymer sirolimus-eluting stents (BP-SES) and durable polymer sirolimus-eluting stents (DP-SES) implantation on serum endothelin 1 levels and the incidence of coronary restenosis in patients with coronary heart disease (CHD).Methods:A total of 114 patients with CHD admitted to the First People's Hospital of Xianyang in Shaanxi Province from May 2022 to January 2024 were selected. According to the principle of comparable baseline characteristics between groups, patients were divided into two groups by random number table method, with 57 cases in each group. After pretreatment of diseased vessels, DP-SES group underwent implantation of DP-SES with appropriate length and diameter, while BP-SES group underwent implantation of BP-SES with appropriate length and diameter. After implantation, non-compliant balloons were used for in-stent post-dilation. Comparisons of vascular endothelial function, levels of inflammatory factors and hemodynamic indicators before operation and at 6 months between groups were made postoperatively, also, the incidence rates of major adverse cardiovascular events (MACE) and coronary restenosis within 6 months were also compared. Measurement data with normal distribution was expressed as “xˉ±s”, independent sample t-test was used on comparison between groups, paired t-test was used for intra-group comparisons before and after treatment. Counting data was expressed as rate or composition ratio, χ2 test was used on comparison between groups. Results:At 6 months after surgery, the levels of endothelin 1 and VEGF were lower in BP-SES group compared to DP-SES group,[(72±5) ng/L vs. (77±7) ng/L, (147±25) ng/L vs. (157±27) ng/L, t=3.76, P<0.001, t=2.16, P=0.033]. The level of nitric oxide was higher in BP-SES group compared to DP-SES group [(79±7) μmol/L vs. (76±8) μmol/L, t=2.46, P<0.001]. At 6 months after surgery, the levels of TNF-α, IL-1 and CRP in DP-SES group were higher than those before surgery, and were all higher compared to BP-SES group[(81±5) ng/L vs. (75±5) ng/L, (159±18) ng/L vs. (151±16) ng/L, (31±4) mg/L vs. (29±3) mg/L, t=6.87, P<0.001, t=2.24, P=0.027, t=2.51, P=0.014]. At 6 months after surgery, the level of whole blood viscosity and plasma viscosity in both group were lower than those before surgery, and the level of Hct in BP-SES group was lower than those before surgery, the differences were statistically significant ( P<0.001), while the differences between groups were not statistically significant( P>0.05). The difference of incidence rates of MACE and coronary restenosis within 6 months between groups before surgery and 6 months after surgery were not statistically significant [7.0%(4/57) vs. 12.3%(7/57), χ2=0.91, P=0.341; 3.7%(2/57) vs. 8.3%(5/57), χ2=0.61, P=0.443]. Conclusion:Both BP-SES implantation and DP-SES implantation could effectively restore coronary blood supply, and are highly safe. However, the former can reduce damage to vascular wall and better improve endothelial function in patients.

Objective:To observe the effect of isokinetic sensorimotor training on the hand function of stroke survivors.Methods:Forty-two stroke survivors with hand dysfunction were randomly divided into an isokinetic group of 22 and a control group of 20. Both groups were given sensorimotor training in addition to routine drug treatment and rehabilitation therapy, but the isokinetic group was additionally provided with sensorimotor training based on isokinetic techniques for 45 minutes daily, 5 days a week for 4 consecutive weeks. Before and after the intervention, both groups were evaluated using the Semmes-Weinstein monofilament examination (SWME), their two-point discrimination (2-PD) was documented, proprioception of their wrist joints was quantified, and the Fugl-Meyer upper extremity assessment (FMA-UE) and the simplified upper limb function assessment (STEF) were applied.Results:In both groups after treatment, there was a significant improvement in the SWME scores and 2-PD distance of the index finger and the thenar, and there was a significant decrease in the angle of motion perception (at 30° of flexion). The average FMA-UE and STEF scores of both groups had improved. After the treatment, the SWME scores of the index finger and the thenar, as well as well as the average FMA-UE and STEF scores of the isokinetic group were significantly higher than the control group′s averages. Angle of motion perception was also significantly superior.Conclusions:Sensorimotor training based on isokinetic techniques can significantly improve touch, motion sense, gross motor function and the fine motor ability of stroke survivors.

Objective To identify the independent predictors of programmed death-1 (PD-1) inhibitor-related endocrine adverse events and construct a clinically usable risk prediction model. Methods A total of 302 patients with solid tumors treated with PD-1 inhibitors were retrospectively enrolled. According to the presence or absence of endocrine immune-related adverse events (irAEs), the patients were divided into case group and control group. The clinical and laboratory indexes were compared between the two groups. Multivariable logistic regression was used to confirm independent predictors of endocrine irAEs. The nomogram was constructed, while the receiver operating characteristic (ROC) curve was used to test the prediction performance of the model. Results The overall incidence of endocrine irAEs was 21.9% (66/302), and the incidence of hypothyroidism was 19.5% (59/302). The age, PD-1 inhibitors, free thyroxine, thyroid peroxidase antibody (TPOAb), thyroglobulin, amylase, lymphocyte subset CD3 expression were statistically different between the two groups (P＜0.05). Multivariable logistic regression showed that higher expression of lymphocyte subset CD3 was a protective factor to prevent endocrine irAEs occurrence (P＝0.004), while age＜60 years, higher TPOAb and use of pembrolizumab were independent risk factors of endocrine irAEs (P＜0.05). The nomogram model thus constructed, and when the threshold probability of the model exceeded 0.1, its net benefit was higher. ROC curve showed that the AUC of the model to predict endocrine irAEs was 0.760. The prediction result of the model was highly consistent with the actual result. Conclusions The age, type of PD-1 inhibitor, baseline TPOAb level, and baseline CD3 expression can independently predict endocrine irAEs occurrence or not. The nomogram model based on this model has good predictive efficiency, which can provide reference for early identification of high-risk patients and immunotherapy management.

Objective To conduct bibliometrics and visual analysis of local benign paroxysmal positional verti-go(BPPV)research in the past 20 years for further basic and clinical research in the future.Methods We collected the journal articles on BPPV published between January 1,2004 and December 31,2023 from the databases of CNKI,Wanfang,VIP and Web of Science Core Collection.Multidimensional measurement and visual analysis were carried out using bibliometrics software to identify the research hotspots and new trends in this field,and to deter-mine the cooperation and influence among authors,institutions and journals.Results A total of 717 Chinese papers and 212 SCI papers were utilized for the analysis.The literature in this field gradually increased at an average annual growth rate of 12.8％,among which the Journal of Clinical Otolaryngology Head and Neck Surgery published the most articles(n=167),followed by the Chinese Journal of Otology(n=94)and the Journal of Audiology and Speech Pathology(n=76).The journal with the largest number of SCI publications is Frontiers in Neurology(n=44).In terms of authors and institutions,Zhuang Jianhua published the most Chinese papers,Yang Xu published the most SCI papers,and Shanghai Jiaotong University published the earliest and most SCI papers in this field(n=21).The main research keywords in this realm in recent years involve video head pulse test,vestibular migraine,re-sidual symptoms,residual dizziness and anxiety.The keywords retaining burst intensity to 2023 include video head pulse test,residual dizziness,children,anxiety,and residual symptoms.Conclusion Video head impulse test,re-sidual dizziness,children,anxiety and other aspects are critical areas of ongoing research in BPPV.

Objective:To investigate the risk factors of medical insurance fund management for the neurological disease group under the background of Diagnosis Related Groups(DRG)reform,and to construct a warning model to provide references for optimizing the management of medical institutions.Methods:A total of 5 615 medical records from Beijing Tiantan Hospital Affiliated to Capital Medical University in 2024 were selected to simulate and compare the differences in medical insurance fund compensation under the Version 1.1 of China Health-care Security Diagnosis-Related Groups(CHS-DRG),hereinafter referred to as DRG 1.1,and the Version 2.0 of Diagnosis-Related Groups(DRG),hereinafter referred to as DRG 2.0.LASSO regression was used to screen variables,and logistic regression analysis was employed to identify the risk factors of fund management and construct Nomogram prediction model.Results:With the implementation of DRG 2.0,the proportion of cases with fund management risks increased from 23.47％to 25.16％,and the overall surplus rate decreased from 14.97％to 12.57％.Logistic regression showed that age,type of medical insurance,mode of admission,and the CCI comorbidity index were significant influencing factors in fund risk management(P＜0.05),while the use of centrally procured medical consumables had a protective effect.The constructed model had an AUC of 0.827,indicating a certain level of predictive performance.Analysis of high-risk management combinations showed that cases with employee medical insurance,emergency admission,no use of centrally procured medical consumables,and non-surgical treatment were the focus of fund payment management.Conclusions:The adjustment of DRG 2.0 has reduced the deviation of overruns and surpluses among cases.Medical institutions need to strengthen their own management,optimize practical processes,and focus on the refinement of medical insurance fund management.

Objective To screen hub genes and signaling pathways associated with acute ischemic stroke(AIS)using bioinformatics methods,identify potential biomarkers,and provide new evidence for the mechanism research of AIS.Methods The gene expression dataset GSE37587 of AIS patients and healthy controls was obtained from the public database gene expression omnibus(GEO).The differentially expressed genes(DEGs,|log2 FC|≥1.2,FDR＜0.05)were screened using the limma package.The enrichment analysis of GO/KEGG was performed with the DAVID database.The weighted correlation network analysis(WGCNA)was used to construct a gene co-expression network for screening key modules.Then,a protein-protein interaction(PPI)network was constructed based on the STRING database and Cytoscape software to identify hub genes.The dataset GSE16561 was used to validate.Meanwhile,the clinical samples from 30 AIS patients and 30 healthy controls visited Zibo First Hospital from January to May 2025 were validated by the real time fluorescence quantitative PCR(qRT-PCR).The diagnostic efficacy was evaluated using the receiver operating characteristics(ROC)curve.Results A total of 653 DEGs were identified,including 252 up-regulated and 401 down-regulated genes.They were mainly enriched in biological processes such as ribosome biogenesis,endoplasmic reticulum protein processing,and oxidative phospho-rylation,as well as signaling pathways such as viral infection-related pathways and PD-L1/PD-1 checkpoint pathways in cancer.The core genes in the light green module identified by the WGCNA analysis were significantly enriched in the pathways such as mitophagy,ribosome,and endocytosis.The hub genes such as RPL34 and DDIT3 were screened from the PPI network,and their expression levels were significantly correlated with AIS.The analysis of the ROC curve showed that the areas under the ROC curve(AUCROC)of the hub genes for the diagnosis of AIS were 0.78-0.82,which had high clinical application value.Conclusion Ribosomal proteins,endoplas-mic reticulum stress-related genes,and viral infection response pathways are key molecular events in the occurrence of AIS.The genes such as RPL34 and DDIT3 are expected to be potential biomarkers for AIS,providing experimental evidence for the development of di-agnostic markers.

Objective To conduct bibliometrics and visual analysis of local benign paroxysmal positional verti-go(BPPV)research in the past 20 years for further basic and clinical research in the future.Methods We collected the journal articles on BPPV published between January 1,2004 and December 31,2023 from the databases of CNKI,Wanfang,VIP and Web of Science Core Collection.Multidimensional measurement and visual analysis were carried out using bibliometrics software to identify the research hotspots and new trends in this field,and to deter-mine the cooperation and influence among authors,institutions and journals.Results A total of 717 Chinese papers and 212 SCI papers were utilized for the analysis.The literature in this field gradually increased at an average annual growth rate of 12.8％,among which the Journal of Clinical Otolaryngology Head and Neck Surgery published the most articles(n=167),followed by the Chinese Journal of Otology(n=94)and the Journal of Audiology and Speech Pathology(n=76).The journal with the largest number of SCI publications is Frontiers in Neurology(n=44).In terms of authors and institutions,Zhuang Jianhua published the most Chinese papers,Yang Xu published the most SCI papers,and Shanghai Jiaotong University published the earliest and most SCI papers in this field(n=21).The main research keywords in this realm in recent years involve video head pulse test,vestibular migraine,re-sidual symptoms,residual dizziness and anxiety.The keywords retaining burst intensity to 2023 include video head pulse test,residual dizziness,children,anxiety,and residual symptoms.Conclusion Video head impulse test,re-sidual dizziness,children,anxiety and other aspects are critical areas of ongoing research in BPPV.

Objective:To investigate the risk factors of medical insurance fund management for the neurological disease group under the background of Diagnosis Related Groups(DRG)reform,and to construct a warning model to provide references for optimizing the management of medical institutions.Methods:A total of 5 615 medical records from Beijing Tiantan Hospital Affiliated to Capital Medical University in 2024 were selected to simulate and compare the differences in medical insurance fund compensation under the Version 1.1 of China Health-care Security Diagnosis-Related Groups(CHS-DRG),hereinafter referred to as DRG 1.1,and the Version 2.0 of Diagnosis-Related Groups(DRG),hereinafter referred to as DRG 2.0.LASSO regression was used to screen variables,and logistic regression analysis was employed to identify the risk factors of fund management and construct Nomogram prediction model.Results:With the implementation of DRG 2.0,the proportion of cases with fund management risks increased from 23.47％to 25.16％,and the overall surplus rate decreased from 14.97％to 12.57％.Logistic regression showed that age,type of medical insurance,mode of admission,and the CCI comorbidity index were significant influencing factors in fund risk management(P＜0.05),while the use of centrally procured medical consumables had a protective effect.The constructed model had an AUC of 0.827,indicating a certain level of predictive performance.Analysis of high-risk management combinations showed that cases with employee medical insurance,emergency admission,no use of centrally procured medical consumables,and non-surgical treatment were the focus of fund payment management.Conclusions:The adjustment of DRG 2.0 has reduced the deviation of overruns and surpluses among cases.Medical institutions need to strengthen their own management,optimize practical processes,and focus on the refinement of medical insurance fund management.