Objective To analyze the correlation between cardiac function and degree of coronary artery lesion in elderly patients with coronary heart disease. Methods A total of 110 elderly patients with coronary heart disease and 30 elderly people without coronary heart disease (non-coronary heart disease group) in the Third People's Hospital of Chengdu were selected for the study. Based on Gensini score, the patients with coronary heart disease were classified into mild, moderate and severe lesion groups. The echocardiographic indicators and myocardial injury indicators [cardiac troponin I (cTnI), creatine kinase (CK), creatine kinase isoenzyme (CK-MB)] were compared among the groups. The correlation between cardiac function indicators and degree of coronary artery lesion and the evaluation value of various indicators on severe coronary artery lesion were analyzed. Results The left ventricular ejection fraction (LVEF) was represented as severe lesion groupmoderate lesion group>mild lesion group> non-coronary heart disease group (P<0.05). LVEF showed a negative correlation with degree of coronary artery lesion (P<0.05), while LVEDD, LVESD, cTnI, CK and CK-MB all exhibited positive correlations with degree of coronary artery lesion (P<0.05). The combined detection of the above indicators demonstrated superior evaluation efficiency on severe coronary artery lesion compared to any single indicator (P<0.05). Conclusion There is a significant correlation between cardiac function and degree of coronary artery lesion in elderly patients with coronary heart disease. Comprehensive evaluation of these indicators is conducive to clinical disease risk stratification and individualized treatment.

Malnutrition significantly impacts patient outcomes and prognosis.Enteral nutrition(EN)serves as a critical nutritional support strategy for hospitalized patients,particularly those who are critically ill,by effectively addressing malnutrition.However,nutritional requirements vary substantially based on disease state and individual characteristics.Artificial intelligence(AI)enables precision EN management through its advanced data processing and predictive analytics capabilities.This review examines current applications of AI in precision EN delivery,identifies existing challenges,and proposes solutions.We aim to inform future research directions and facilitate AI integration into clinical EN practice,ultimately optimizing patient-centered nutritional care.

Forensic medicine has been designated as a first-level discipline,presenting new opportunities and challenges for the development of forensic medicine.Since the 1980s,the establishment of foren-sic medicine discipline and the cultivation of high-level forensic talents have become hot topics in the development of forensic medicine in China.Since the 13th Five-Year Plan,the forensic team of Shanxi Medical University has been aiming at the forefront,proposing the development goals of"Five First-class"and the discipline development path"Six Major Achievements".It has selected benchmark disci-plines,identified gaps in disciplinary development,unified thoughts,formulated completion timelines,concentrated superior resources,assigned tasks to individuals,and created an"Organized Fill-in-the-Blank Format"forensic medicine discipline construction model with the characteristics of the new era.The construction model of forensic medicine has achieved good results in the goals,discipline frame-work,scientific research,talent cultivation,discipline team and platform construction,forming a rela-tively complete discipline construction and management system,and accumulating valuable experience for the construction of first-level discipline and high-level talent cultivation of forensic medicine.

Spine fracture and dislocation are common traumatic spinal conditions that often require surgical intervention due to compromised spinal stability. Surgical approaches include anterior, posterior, and combined anterior-posterior spinal procedures. According to the specific surgical requirements, patients may be placed in the prone position or repositioned between prone and supine positions during surgery. Intraoperative repositioning has become an essential step in patient positioning. However, during repositioning, patients with spinal fracture and dislocation are at increased risk for complications such as hemodynamic instability, nerve injury, and pressure injuries to the skin and soft tissue. Notably, due to the instability of the spinal cord, even minor manipulations can further exacerbate the damage, potentially leading to severe outcomes like paraplegia. Although the current clinical guidelines provide instructive recommendations for standard position, there remains no specific protocols for intraoperative repositioning in patients with spine fracture and dislocation. With a concern for the lack of clinical studies on positioning techniques, risk prevention, and operational norms for special patients, no applicable guidelines or standards are available. A consensus was required to provide clinical reference, meet the requirements of surgical treatment, and minimize the safety risks of patients caused by improper placement of positions. Professional Committee of Operating Room Nursing of Shaanxi Nursing Association organized experts in nursing management and operating room nursing from major hospitals across China to formulate Expert consensus on intraoperative repositioning for patients with spinal fracture and dislocation ( version 2025). The consensus provides 11 recommendations covering pre-repositioning preparation, intraoperative maneuvers, and post-repositioning observation, aiming to provide references for clinical standardization of the intraoperative repositioning process and protection of patients′ safety.

Objective:To assess the presence of chemotherapy-induced abnormal myocardial perfusion using SPECT myocardial perfusion imaging (MPI) in patients with malignant hematologic diseases before hematopoietic stem cell transplantation (HSCT), and to explore its predictive value for mid-to-long-term mortality risk after transplantation.Methods:From March 2016 to August 2022, 139 patients with malignant hematologic diseases (80 males, 59 females; age (45.7±13.0) years) who underwent resting MPI to assess the presence of chemotherapy-induced abnormal myocardial perfusion before HSCT at the First People′s Hospital of Changzhou were prospectively included. Baseline-data were collected and patients were followed up for mid-to-long-term (≥100d) adverse outcomes after transplantation. Overall survival (OS) of each patient was recorded. The χ2 test and independent-sample t test were used for data analysis. Cox regression analysis was utilized to identify independent risk factors affecting OS. Kaplan-Meier method and log-rank test were used for survival analysis. Results:The median follow-up time of 139 patients was 41.6(19.5, 65.6) months, with all-cause mortality of 28.8%(40/139), and the cardiovascular mortality was 42.5%(17/40). The prior cardiotoxic therapies rate (anthracycline dose ≥250mg/m 2) was higher in the death group compared to that in the survival group (15.0% (6/40) vs 5.1% (5/99); χ2=3.87, P=0.049). Pre-transplant abnormal myocardial perfusion rate was also higher in the death group compared to that in the survival group (55.0%(22/40) vs 22.2%(22/99); χ2=15.19, P<0.001). But pre-transplant left ventricular ejection fraction (LVEF) was lower in the death group compared to that in the survival group ((60.4±5.2)% vs (62.9±3.9)%; t=-3.07, P=0.003). Cox multivariate regression analysis showed that the abnormal myocardial perfusion indicated by MPI before transplantation was an independent risk factor affecting OS after HSCT in patients with malignant hematologic diseases (hazard rate ( HR)=2.70, 95% CI: 1.33-5.46, P=0.006). Kaplan-Meier analysis showed the 1-, 2-, 5-year OS rates of patients with the abnormal myocardial perfusion and the normal myocardial perfusion were 73.5%, 69.1%, 49.2% and 94.6%, 89.9%, 81.6%, respectively, with significant difference ( χ2=17.01, P<0.001). Conclusions:Patients with abnormal myocardial perfusion detected by MPI before HSCT for malignant hematologic diseases have a poorer prognosis, characterized by lower post-transplantation OS rates. The utilization of MPI for assessing abnormal myocardial perfusion before transplantation in patients with malignant hematologic diseases can aid in predicting the mid-to-long-term mortality risk after transplantation.

Objective To analyze differentially expressed proteins(DEPs)in the hippocampal tissue of an amyloid-beta 1-42(Aβ1-42)-induced Alzheimer's disease(AD)rat model using Tandem mass tag(TMT)-based quantitative proteomics,followed by bioinformatic analysis to explore potential AD mechanisms.Methods Twelve male Sprague-Dawley(SD)rats were randomly assigned to a control group(n=6)and a model group(n=6).The AD model was established by bilateral hippocampal injection of Aβ1-42 in the model group,while the control group received an equivalent volume of saline.Cognitive function was assessed using the novel object recognition test,and hippocampal Aβ deposition was detected by immunofluorescence.DEPs were identified using TMT-based proteomics and subsequently analyzed via Gene Ontology(GO)annotation,Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment,and protein-protein interaction(PPI)network analysis.Key DEPs were validated using parallel reaction monitoring(PRM)technology.Results The model group exhibited a significantly lower novel object recognition index(P<0.01)and significantly increased hippocampal Aβ deposition(P<0.01)compared to the control group.Proteomic analysis identified 183 DEPs(87 upregulated,96 downregulated).GO analysis revealed that DEPs were primarily enriched in processes such as amyloid-beta binding and ion transmembrane transport.KEGG analysis indicated significant enrichment in 42 pathways,including dopaminergic synapse,glutamatergic synapse,cholinergic synapse,and long-term potentiation.Ten core DEPs were identified from the PPI network,and PRM validation confirmed expression trends consistent with the TMT results.Conclusion Aβ1-42-induced AD involves the synergistic action of multiple targets,biological processes,and pathways.The activation of glutamatergic and dopaminergic synaptic signaling pathways,mediated by core DEPs(e.g.,Th、D1、VGLUT2、GluN2A、GluA1、GluA3、Shank1、DARPP-32、PKC-δ、PKC-α、PKA C-β、CaMKⅡα、PTK2B),likely represents a key molecular mechanism in this AD model,providing a basis for identifying potential therapeutic targets.

Objective:Non-targeted metabolomics based on ultra-performance liquid chromatography mass spectrometry(UPLC-MS)platform was used to study the metabolic characteristics of multiple myeloma(MM)patients,and explore potential new metabolic mechanisms affecting the occurrence and development of MM.Methods:The study enrolled 42 MM patients,including 21 newly diagnosed(ND)patients and 21 relapsed patients(RP),and 21 age-sex matched healthy controls(HC)as subjects.UPLC-MS analysis platform was used to detect small molecule metabolites in serum of the subjects.Principal component analysis(PCA),orthogonal partial least-squared discriminant analysis(OPLS-DA)and 200 random permutations were used to analyze the differences of metabolic profiles among groups.Identification of differential metabolites was completed in the Human Metabolome Database(HMDB)and abnormal metabolic pathway analysis was performed using the KEGG database.Results:The metabolic profiles of MM patients and healthy controls were significantly separated in both PCA and OPLS-DA models,while the metabolic profiles of newly diagnosed and relapsed MM patients were significantly separated only in OPLS-DA model.In ND vs HC,RP vs HC and RP vs ND cohorts,19,24 and 18 differential metabolites were identified respectively,mainly sphingolipids,glycerophospholipids and fatty acyl amino acids.The metabolic pathway abnormalities in newly diagnosed and relapsed MM patients were mainly manifested in sphingolipid metabolism and glycerophospholipid metabolism compared to healthy controls.Compared with newly diagnosed MM patients,relapsed MM patients were mainly manifested in sphingolipid metabolism and ether-lipid metabolism.Conclusion:The metabolic profiles of MM patients are significantly different from those of healthy people.Relapsed MM patients and newly diagnosed MM patients have similar metabolic profiles,but there are still some differences.Glycerophospholipid metabolism,sphingolipid meta-bolism and ether-lipid metabolism may play important biological roles in the occurrence and development of MM.

Objective A scoping review of domestically and internationally published studies on finite element analysis(FEA)based on three-dimensional(3D)human body model in preventing pressure ulcer(PU)was conducted,aiming to provide new directions for improving the prevention strategies of pressure ulcer.Methods We conducted a systematic search in both Chinese and English medical databases,including PubMed,Embase,CINAHL,Web of Science,Cochrane Library,Sinomed,CNKI,Wanfang and VIP,and engineering database(Engineering Village Compen-dex).The search period was from the inception of each database to July 29,2024.The information was extracted,and the results were analyzed and standardized for reporting.Results A total of 30 studies were included.The general methods of FEA based on 3D human body model include establishing geometric model,meshing,defining material properties,loading and setting boundary conditions,and solving equations.According to the contents of studies,they could be categorized into 4 distinct application domains,including identification of risk groups(n=9),position management(n=9),preventive dressings(n=10)and supportive surfaces(n=7).Conclusion FEA based on 3D human body model provides a foundation to PU biomechanical mechanism research and a scientific basis to the supplement and optimization of clinical prevention.Future studies should integrate clinical problems with simulations and further optimize simulations techniques and protocols.

Objective To evaluate the safety and efficacy of valve-in-valve transcatheter mitral valve replacement(ViV-TMVR)in patients with bioprosthetic valve degeneration who are at high surgical risk.Methods This study is a multi-center,retrospective cohort analysis of 20 consecutive patients who underwent transseptal ViV-TMVR using the Edwards SAPIEN 3 transcatheter heart valve(THV).The primary endpoints include technical success and procedural success,both defined according to the Mitral Valve Academic Research Consortium(MVARC)criteria,as well as mortality and functional change assessed based on New York Heart Association(NYHA)classification at 30-days and six months post-procedure.Clinical follow-up assessments are conducted at 30-days and six months.Results From February 2021 to October 2022,a total of 20 patients with symptoms of bioprosthetic valve degeneration were enrolled across nine sites in China.The patients had a mean age of(73.5±5.5)years,with 85.0％being females and 70.0％classified as NYHA class Ⅲ/Ⅳ.The study achieved a 100.0％technical success rate and a 90.0％procedural success rate finally.All patients remained alive during the 30-day follow-up period.However,six months post-intervention,two patients(10.0％)were re-hospitalized due to heart failure,and sadly,one of them(5.0％)died.None of the patients reported any adverse events related to ViV-TMVR during the follow-up period.Notably,there was a significant improvement in NYHA class compared to baseline(P=0.0004)at six-month follow-ups.Conclusions The transseptal ViV-TMVR technique proved to be highly successful and was associated with significant improvement in NYHA class function.These findings strongly suggest that it serves as a safe and efficient treatment alternative for high-risk patients suffering from bioprosthetic valve degeneration.

Objective:To explore the role and possible mechanism of ACOT11 in renal fibrosis model mice.Methods:A mouse model of renal fibrosis was established by unilateral ureteral obstruction(UUO)(Sham group and UUO7 group),and the expression of ACOT11 in the kidneys of UUO induced fibrosis mouse models was detected by protein immunoblotting and real-time fluorescence quantitative PCR(qRT-PCR).Subsequently,immunohistochemistry,Masson staining,H&E staining,PAS staining,and other experimental methods were used to detect the expression levels of fibrosis biomarkers fibronectin,α-SMA,and COL-1 in the kidneys of control and experimental group mice.In addition,by constructing ACOT11 gene knockout model mice and using the gene knockout model mice to construct a renal fibrosis model,the expression levels of fibrosis biomarkers such as fibronectin,α-SMA,COL-1,as well as fibrosis mechanism pathway related indicators TGF-β and Smad2 in the kidneys of each group of mice were further detected.Results:The results of WB and qRT-PCR experiments showed that the expression of ACOT11 in the kidney tissue of UUO model mice was significantly reduced compared to the Sham group.After knocking out the ACOT11 gene,H&E staining,PAS staining,and Masson staining showed that pathological inflammatory reactions such as abnormal glomerular and tubular structures,inflammatory cell infiltration and interstitial fibrous tissue proliferation in mice were significantly aggravated compared to the control group,and the expression of fibrosis markers Fibronectin,α-SMA,and COL-1 was significantly higher than that of the control group.Conclusion:ACOT11 plays a protective role in mice with unilateral ureteral obstruction model.After ACOT11 gene knockout,the fibrosis biomarkers of the mouse kidney increases and the degree of fibrosis worsens.