Objective To explore the prevalence of depressive symptoms in postoperative patients with ovarian cancer and to analyze its influencing factors from multiple dimensions, including clinical characteristics, psychological factors, and laboratory indicators. Methods A cross-sectional study was conducted, which enrolled 235 postoperative patients with ovarian cancer. Depressive status was assessed using the patient health questionnaire, and the demographic, pathological, and medical record data of the patients were collected using the generalized anxiety disorder scale, Pittsburgh sleep quality index, European organization for research and treatment of cancer quality of life questionnaire core 30, and ECOG performance status score. Peripheral blood tumor marker (CA125), routine blood test, lymphocyte subsets, and serum cytokine levels were measured. Univariate and multivariate binary logistic regression analysis were used for statistical analysis. Results The prevalence of depression in postoperative patients with ovarian cancer was 39.15% (92/235). Univariate analysis showed that ECOG score ≥ 2 points, pain, anxiety, poor sleep quality, low quality of life, low life satisfaction, tumor recurrence, six or more cycles of chemotherapy, as well as higher levels of CA125, NLR, and NAR, and lower hemoglobin levels were significantly associated with depression (all P<0.05). Multivariate binary Logistic regression analysis showed that anxiety (OR=1.975, 95%CI: 1.231-3.170), sleep efficiency (OR=4.181, 95%CI: 1.211-14.43), sleep latency (OR=34.806, 95%CI: 4.258-284.542), ECOG performance status score, cognitive function (OR=0.918, 95%CI: 0.868-0.97), and life satisfaction were independent risk factors for depression (all P<0.05). Laboratory indicators were not independent influencing factors in the multivariate Logistic regression model. Conclusion Depression in postoperative patients with ovarian cancer is influenced by physiological, psychological, and social factors. Clinical management should focus on patients with anxiety, sleep disorders, poor physical condition, and low life satisfaction, and a comprehensive prevention and treatment strategy centered on psychological intervention and taking into account symptom management and social support should be implemented.

ObjectiveTo explore the mechanism by which Qiangjing tablets （QJT） alleviate the spermatogenic function damage caused by varicocele （VC） based on the Kelch-like ECH-associated protein 1 （Keap1）/nuclear factor erythroid 2-related factor 2 （Nrf2） signaling pathway-mediated oxidative stress. MethodsTen Sprague-Dawley （SD） rats were randomly assigned into a control group and a model group. Pathological examination confirmed the stability of the model. Thirty-six SD rats were randomized into control， model， low-dose （0.23 g·kg^-1） QJT， medium-dose （0.46 g·kg^-1） QJT， high-dose （0.92 g·kg^-1） QJT， and mazhilin （61.7 mg·kg^-1） groups， with 6 rats in each group. A rat model of experimental left varicocele （ELV） was established by partially ligating the left renal vein to simulate the human nutcracker syndrome. The rats were administrated with corresponding agents once a day for 28 consecutive days. The in vitro testicular culture model of rats was established through the Transwell chamber method and intervened with QJT-containing sera （2.3， 4.6， and 9.2 g·kg^-1）. Microscopic observation was carried out for the morphology of the left kidney. A micrometer was used to measure the diameter of the left spermatic vein （LSV）. The body weights of rats were recorded weekly， and the epididymis and testis weights were measured. The pathological changes of the testicular tissue was observed via hematoxylin-eosin （HE） staining. The levels of testosterone （T） in the cell culture supernatant and reactive oxygen species （ROS） in the rat testicular tissue were measured by enzyme-linked immunosorbent assay （ELISA）. Flow cytometry was employed to determine the ROS content. Immunohistochemical staining was conducted to analyze Keap1， Nrf2， 3β-hydroxysteroid dehydrogenase （3β-Hsd）， GATA-binding protein-4 （Gata-4）， and proto-oncogene receptor tyrosine kinase （C-kit）. The ultrastructure of the tissue was observed by transmission electron microscopy （TEM）. Cell apoptosis was detected by terminal deoxynucleotidyl transferase-mediated dUTP nick-end labeling （TUNEL） staining. The expression of Keap1， Nrf2， glutathione S-transferase α2 （Gsta2）， glutathione S-transferase μ1 （Gstm1）， heme oxygenase-1 （HO-1）， quinone oxidoreductase 1 （Nqo1）， and thioredoxin reductase 1 （Txnrd1） was quantified by Real-time quantitative polymerase chain reaction（Real-time PCR） and Western blot. ResultsCompared with the control group， the ROS content and the percentage of apoptotic cells in the model group were significantly increased （P<0.01）， the T concentration was significantly decreased （P<0.01）， the mRNA and protein expressions of Keap1 were significantly increased （P<0.01）， and the mRNA and protein expressions of Nrf2， Gsta2， Gstm1， HO-1， Nqo1 and Txnrd1 were significantly decreased （P<0.05）. Compared with the model group， the ROS content and the percentage of apoptotic cells in each dose group of the Qiangjing Tablets were significantly reduced （P<0.05）， and the mRNA and protein expressions of Keap1 were significantly decreased （P<0.05）， while the mRNA and protein expressions of Nrf2， Gsta2， Gstm1， HO-1， Nqo1 and Txnrd1 were significantly increased （P<0.05）. ConclusionQJT improves sperm motility in the rat model of VC by modulating the Keap1/Nrf2 signaling pathway and reducing oxidative stress injury.

Acute-on-chronic liver failure （ACLF） is a complex clinical syndrome， and early identification and accurate prognostic evaluation are of great importance for patient treatment and management. In recent years， with in-depth research on the pathogenesis of ACLF， multiple prognostic biomarkers have been proposed and used in clinical practice. This article systematically reviews the research advances in prognostic biomarkers for ACLF from the aspects of clinical predictive models， immunological biomarkers， metabolic biomarkers， genetic and epigenetic biomarkers， microbiome-related biomarkers， and emerging technologies such as artificial intelligence and multi-omics， and it also discusses the value and application prospects of these biomarkers in the prognostic evaluation of ACLF and proposes future research directions， in order to provide a scientific and comprehensive reference for clinicians， guide individualized treatment and management of ACLF patients， and finally improve the clinical outcomes of patients.

Objective: This study aimed to construct an animal model of heart failure with preserved ejection fraction (HFpEF) that integrates disease and syndrome based on the "deficiency-blood stasis-toxin" pathogenesis and to evaluate it comprehensively. Methods: The HFpEF mouse model was constructed using a combination of Nω-nitro-L-arginine methyl ester (L-NAME) and a high-fat diet. According to the random number table method, SPF-grade male C57BL/6J mice were randomly assigned to the control, L-NAME, high-fat diet, and model groups, 10 in each group. Comprehensive observations and data collection on macroscopic signs (e.g., fur condition, mental state, stool and urine, oral and nasal condition, paw and body condition, etc.) and cardiac function were performed after 10 and 16 weeks of model induction. Additionally, the syndrome evolution was elucidated based on diagnostic criteria for clinical syndromes of heart failure. Furthermore, pathological and molecular biological examinations of myocardial tissue were performed to assess the stability and reliability of the model. Results: Mice in the model group showed typical characteristics of syndrome of qi deficiency and blood stasis, as well as syndrome of internal heat accumulation, including lethargy, slow response, dull paw color and oral/nasal color, exercise intolerance, abnormal platelet activation, dry feces, and dark yellow urine. The time window for these syndromes was between 10 and 16 weeks post-modeling. Cardiac function assessments revealed severe diastolic dysfunction, concentric myocardial hypertrophy, and myocardial fibrosis in the model group. Pathological examinations showed a significantly increased collagen deposition in the myocardial interstitium, enlarged cross-sectional area of cardiomyocytes, and sparse coronary microvasculature in the model group. Molecular biological analyses indicated marked activation of the inducible nitric oxide synthase/nuclear factor kappa-light-chain-enhancer of activated B cells/NOD-like receptor family pyrin domain containing 3 inflammatory pathway and significantly elevated inflammation levels in the myocardial tissue of the model group. Although mice in the L-NAME and high-fat diet groups also showed certain manifestations of qi deficiency syndrome, the substantial cardiac damage was relatively limited compared to the control group. Conclusion This study has constructed an animal model of HFpEF that integrates disease and syndrome based on the "deficiency-blood stasis-toxin" pathogenesis. The macroscopic and microscopic characteristics of this model are consistent with the manifestations of syndrome of qi deficiency and blood stasis, toxin syndrome, and syndrome of internal heat accumulation. Moreover, it can stably simulate the HFpEF state and reflect phenotypic changes in human disease. This model provides a suitable experimental platform to explore the pathogenesis of HFpEF, evaluate the effectiveness of traditional Chinese medicine (TCM) treatment regimens, and promote in-depth research on TCM syndromes of heart failure.

Objective To investigate the expression of serum tumor-associated antigens(TAAs)in patients with rheumatoid arthritis(RA)and analyze their clinical significance for RA.Methods A total of 214 RA patients were enrolled in the RA group,while 198 age-and gender-matched healthy individuals were included in the HC group.Rheumatoid factor(RF),anti-cyclic citrullinated peptide antibody(Anti-CCP),C-reactive protein(CRP),erythrocyte sedimentation rate(ESR),interleu-kin-6(IL-6),ferritin levels,as well as gender,age,disease duration,disease activity score(DAS28)and clinical manifestations were collected from the RA group.The expression of TAAs in RA patients and the clinical characteristics of TAA-positive patients were analyzed.Spearman correla-tion analysis was used to evaluate the relationships between TAAs and clinical indicators in RA pa-tients.Results The positive rate of carbohydrate antigen 125(CA125)in the RA group was 8.88％,which was significantly higher than 1.01％ in the HC group(P＜0.001).Serum CA125 and cytok-eratin fragment 19(CYFRA21-1)levels in the RA group were significantly higher than those in the HC group,whereas alpha-fetoprotein(AFP),carcinoembryonic antigen(CEA),carbohydrate anti-gen 199(CA199)and neuron-specific enolase(NSE)levels were significantly lower(P＜0.001).TAA-positive patients had significantly older age and higher rates of pulmonary interstitial lesions compared to TAA-negative patients(P＜0.05).Patients with DAS28 scores＞5.1 had significantly higher CA125 levels than those with DAS28 scores ≤5.1(P＜0.05).CA125 levelswere positively corre-lated with DAS28 scores,ESR,RF,and anti-CCP antibodies(r=0.142,0.140,0.268,0.183;P＜0.05).Conclusion In RA patients,the positivity rate and levels of some serum TAAs are ele-vated,and TAA-positive patients tend to be older and have higher incidence of pulmonary interstitial lesions.CA125 levels are positively correlated with RA disease activity.

Objective To investigate the association between D-dimer levels within 2 hours of admission and in-hospital major adverse events (MAEs) in patients with acute type A aortic dissection (ATAAD) who underwent total arch replacement combined with frozen elephant trunk (FET) implantation. Methods This retrospective study included patients with ATAAD who underwent total arch replacement with FET implantation at Fuwai Yunnan Cardiovascular Hospital from September 2017 to December 2022. Patients were divided into two groups based on the occurrence of in-hospital MAEs: a MAEs group and a non-MAEs group (control). Perioperative data were compared between the two groups. Univariate and multivariate logistic regression analyses were performed to identify risk factors for in-hospital MAEs, which included in-hospital death, gastrointestinal bleeding, paraplegia, acute kidney injury, low cardiac output syndrome, stroke, respiratory failure, multiple organ dysfunction syndrome, and severe infection. The predictive value of D-dimer was evaluated using the area under the receiver operating characteristic curve (AUC). Results A total of 218 patients were included (157 males, 61 females), with a mean age of (51.54±9.79) years. There were 152 patients in the non-MAEs group and 66 in the MAEs group. The overall incidence of in-hospital MAEs was 30.3%, and the in-hospital mortality rate was 2.8% (6/218). Compared to the non-MAEs group, the MAEs group had significantly higher levels of D-dimer and lactate, as well as longer cardiopulmonary bypass time, aortic cross-clamp time, and ICU length of stay (all P<0.05). Multivariate logistic regression analysis identified D-dimer as an independent risk factor for in-hospital MAEs [OR=1.077, 95%CI (1.020, 1.137), P=0.013]. The AUC for the D-dimer level within 2 hours of admission to predict in-hospital MAEs was 0.83 [95%CI (0.736, 0.870), P<0.001]. The optimal cutoff value was 2.2 μg/mL, with a sensitivity of 84.8% and a specificity of 73.0%. Conclusion The serum D-dimer level is an independent risk factor for in-hospital MAEs in patients with ATAAD following total arch replacement with FET implantation. D-dimer levels on admission can help clinicians optimize risk stratification and perioperative management, potentially reducing the incidence of early adverse events.

Objective To explore the relationship between the digital transformation of public hospitals and hospital quality and safety management,providing evidence for hospital digital transformation development and policy formulation.Methods Hospital management data from Shanghai municipal hospitals were collected,and a questionnaire was used to assess the current state of digital transformation.A panel regression of time-fixed effects analysis was performed to examine the correlation between various digital transformation variables and quality and safety performance in 8 Shanghai municipal hospitals from January 2023 to May 2024.Results Hospital digital system construction,digital service level,digital investment and digital research are significantly positively correlated with patient safety and service efficiency,and negatively correlated with the incidence of negative safety events in readmissions,venous thromboembolism and unplanned reoperation.The level of digital services was associated with a reduction in average length of stay.Increased digital investment was associated with not only decreased proportion of medication costs,but also an increase in the proportion of consumable costs,other categories of expenditures,and finally average costs.Conclusion While digital transformation improves hospital quality and safety,it also leads to an increased disease burden for patients.Therefore,further evidence is needed to analyze the cost-effectiveness of different digital transformation pathways.

Objective It aims to systematically review the concept of hospital digital maturity and its application in the digital transformation of hospitals,analyzes existing digital maturity assessment models internationally,and examine relevant research progress to provide reference and support for the digital transformation of Chinese hospitals.Methods By using the systematic review method,a systematic review was conducted by searching rele-vant literature in both Chinese and English databases,including CNKI,Wanfang Database,PubMed,Medline,and Web of Science.Keywords used for the search included digital maturity,digital capability,health,and hospital.Results Widely used international digital maturity assessment models encompass various dimensions,such as organizational management,digital technology capabilities,healthcare professional digital capabilities,data analytics,and interoperability.Some countries have applied these models in the digital transformation practices of hospitals,while attention to this field remains relatively limited in China.Conclusion Digital maturity assessment is a crucial tool for promoting the digital transformation of hospitals;however,existing evaluation frameworks are not directly appli-cable to China's public hospital system.Future research should focus on developing quantifiable assessment tools tai-lored to the characteristics of Chinese public hospitals,thereby promoting hospital digital transformation and high-quality development.

Objective:To analyze the current status of the research in two emerging fields-digital health and digital medicine,and the distinctions and interconnections between them,and to explore critical cognitionfor benign development of this field.Methods:Based on bibliometric method,this study analyzed 1 747 papers published in two Q1 journals categorized under"medical informatics"in Chinese Academy of Sciences Journal Citation Reports between January 1st,2019,and June 30th,2024.A biclustering analysis of highly cited and source article was conducted using a"co-cited literature clustering and all articles citing this cluster"approach.Results:In 1 747 literature,a total of 28 classic high cited articles in digital medicinejournals and digital health journals were screened out afterthe literatures of irrelevant citations were deleted,and then,they were further analyzed.The clustering performancesof similar clusters for high cited articles of two kinds of journals were similar,and the difference of intra-cluster similarity(Isim)between them was not statistically significant(P>0.05).The inter-cluster similarity(Esim)of digital health journal was 0.0480,which was significantly higher than that of digital health journal,and the difference of that between them wasstatistically significant(t=-3.925,P<0.05).The clustering result of digital medicine was better,which whole research direction could be divided into deep learning-based ophthalmic medical image analysis,image recognition with artificial intelligence(AI),algorithm model of using AI,reporting standard and assessment method of digital medicine and scientific research by using AI.However,the contents of high cited literatures of digital health field had a lot of overlap with digital medicine field,and various clusters of literature have inconsistent themesafter these literatures were clustered.Conclusions:Research of digital medicine is tending towards two primary directions:specific application of AI,and theimprovement of digital medical standards and processes.Meanwhile,the articles and literatures with high quality in digital health still cannot divorce the medical field,and the discipline system still is immature.

Lymphoma is a highly heterogeneous malignancy characterized by complex molecular regulatory mechanisms that result in significant differences in aggressiveness and prognosis across its subtypes.Gene copy number alteration(CNA)analysis,an emerging technology,has become a pivotal tool in the precision re-search and management of lymphoma.By detecting DNA deletions,amplifications,and chromosomal copy number changes,CNA analysis addresses the limitations of traditional cytogenetic techniques,enhances the ac-curacy of subtype classification,and aids in evaluating tumor heterogeneity and disease progression.This re-view provides a comprehensive summary of CNA detection methods and their applications in lymphoma,with a focus on recent advancements in the field.It offers a comparative analysis of CNA detection techniques and discusses their role in precision diagnosis,subtype classification,monitoring disease progression,predicting therapeutic resistance,and assessing prognosis.Additionally,the review explores the potential applications of CNA analysis in uncovering molecular regulatory mechanisms,optimizing therapeutic strategies,and impro-ving patient survival outcomes.