Objective To analyze the occurrence status of low blood pressure (BP) in patients with refractory heart failure (RHF) and its relationship with comorbidities. Methods A retrospective analysis was conducted on the clinical data of 360 patients with RHF who were hospitalized in department of cardiology of Affiliated Nantong Hospital of Shanghai University from May 2021 to May 2025. These patients were divided into the RHF with BP group and the RHF group based on their blood pressure at admission. The general data and comorbidities were compared between both groups. Multivariate logistic regression analysis was used to identify the risk factors for coexisting BP. Results The heart rate (HR), N-terminal pro-B-type natriuretic peptide (NT-proBNP), blood urea nitrogen, high-sensitivity cardiac troponin T, right atrial diameter, proportion of cardiac function grade IV, use rate of diuretics and prevalence rate of dilated cardiomyopathy (DCM) in the RHF with BP group were higher while the high-density lipoprotein cholesterol (HDL-C), albumin, left ventricular ejection fraction, use rate of lipid-lowering drugs and prevalence rate of coronary heart disease were lower compared to the RHF group, and the differences were statistically significant (P<0.05). Multivariate logistic regression analysis suggested that increased HR (OR=1.685, 95%CI: 1.106-2.569), increased NT-proBNP (OR=1.772, 95%CI: 1.138-2.759), decreased HDL-C (OR=0.605, 95%CI: 0.400-0.917) and DCM (OR=1.956, 95%CI: 1.176-3.255) were independent risk factors affecting BP in RHF patients (P<0.05). Conclusion The incidence rate of low blood pressure in elderly RHF patients is about 19.17%. Increased heart rate, increased NT-proBNP, decreased HDL-C and dilated cardiomyopathy are closely linked to the occurrence of low blood pressure, and they can be used as clinically related factors to identify patients at high risk of low blood pressure.

Objective: To evaluate the diagnostic performance of magnetic resonance spectroscopy (MRS) in discriminating fumarate hydratase-deficient (FH-d) uterine leiomyomas (ULs) from FH-preserved ULs. Materials and Methods: This study consisted of three stages, with independent cohorts recruited for each stage: 1) sample-size estimation was retrospectively performed on UL specimens (diameter ≥3 cm; age, 20–40 years) from our database with immunohistochemistry (IHC) for 2-succinocysteine (2-SC) as the reference, without genetic testing, 2) MRS sequence optimization in confirmed FH germline mutation participants with ultrasound-detected ULs (diameter ≥3 cm), without IHC analysis, and 3) prospective diagnostic test accuracy was evaluated in consecutive participants with ultrasound-detected ULs (diameter ≥3 cm;age, 20–40 years), using IHC for 2-SC for determining the FH status and subsequent genetic testing in those with positive 2-SC results to identify whether FH mutations were germline or somatic in origin. The choline and fumarate peaks in MRS were classified as positive, negative, or technical failure (TF). TFs were analyzed separately and excluded from the primary diagnostic accuracy calculations. T1-, T2-, and diffusion-weighted images were interpreted as hyperintense or hypointense. The enhancement rate and apparent diffusion coefficient were also acquired. Diagnostic performance was compared between MRS and various magnetic resonance imaging (MRI) features. Results: The optimal MRS parameters for the fumarate peak were echo time (TE) = 140 ms and an average of 256. Among the 360 prospective participants, 37 were confirmed to have FH-dULs. MRS showed positive fumarate peaks in 35 of 37 FH-dULs.After excluding six TFs, the positive fumarate peak on MRS showed 94.6% (35/37) sensitivity, 99.7% (316/317) specificity, and 99.2% (351/354) accuracy, all of which were significantly superior to those of other MRI features (P ≤ 0.002). Conclusion A positive fumarate peak on MRS may be a useful imaging biomarker for diagnosing FH-dULs.

Objective:To analyze the condition of subclinical atherosclerosis (SCA) in patients with psoriatic arthritis (PsA) and to provide a reference for better management of the associated cardiovascular risk in patients with PsA.Methods:Based on the cohort of PsA patients (PKUPsA) in the Department of Rheumatism and Immunology, Peking University First Hospital, 240 PsA patients without previous clinical atherosclerotic disease between July 2018 and June 2024 were included. The demographic data traditional cardiovascular disease risk factors, PsA related indicators and medications were collected when all patients were entered into the cohort. Increased intima-media thickness and/or arterial plaque formation in bilateral carotid arteries examined by ultrasonography are defined as the presence of SCA. Based on this, patients were divided into SCA and no SCA groups, and the two groups were compared and analyzed. Statistics were performed using the Mann-Whitney U test, independent sample t test, χ2 test and Logistic regression analysis. Results:Eighty-five of 240 patients (35.4%) had SCA, including 55 (22.9%) with cIMT thickening and 51 (21.2%) with carotid plaque. Compared with the PsA patients without SCA, patients with SCA were older [55.0 (42.0, 62.5) vs. 42.0(35.0, 53.0) year of age, Z=-4.90, P<0.001], had longer disease course of arthritis [4.6 (1.0, 10.1) vs. 3.0(1.0, 6.1) years, Z=-1.98, P=0.048], more patients with combined hypertension [34.1%(29/85) vs. 15.5%(24/155), χ2=11.08, P<0.001], hyperlipidemia [47.1%(40/85) vs. 27.1%(42/155), χ2=1.22, P=0.002] and the taking of statins [14.1%(12/85) vs. 5.8%(9/155), χ2=4.75 , P=0.029], hypoglycemic agents [10.6%(9/85) vs. 3.9%(6/155), χ2=4.23, P=0.040] and antihypertensive drugs [17.6%(15/85) vs 6.5%(10/155), χ2=7.37, P=0.007]. They also had a higher blood glucose level[5.37 (5.17, 6.09)mmol/L vs. 5.26(4.97, 5.67)mmol/L, Z=-2.82 , P=0.005], low-density lipoprotein [(3.05± 0.76)mmol/L vs. (2.78±0.75)mmol/L, t=2.60, P=0.010] and blood uric acid level[351 (312, 412)μmol/L vs. 333(279, 408)μmol/L, Z=-2.10, P=0.036]. Multivariate analysis showed that older [ OR (95% CI) =1.059 (1.033, 1.086), P<0.001], increased low density lipoprotein [ OR (95% CI) =1.519 (1.018, 2.267), P=0.041] and increased blood uric acid levels [ OR (95% CI)=1.004 (1.001, 1.007), P=0.017] were an independent risk of SCA in PsA patients. Conclusion:More than 1/3 of PsA patients with SCA without past history of clinical atherosclerosis with SCA, advanced age, increased blood low density lipoprotein level, and elevated uric acid level are independent risk factors for PsA with SCA, so attention should be paid to the assessment and management of cardiovascular-related risk. Early intervention can help to improve patient prognosis.

As an independent first-level discipline,an appropriate classification of nursing science is significant.In China,each nursing degree-granting institution has developed its own secondary-level discipline directions based on its research characteristics and strengths,with varying names and research scopes.Furthermore,there is no unified global classification system.This paper,based on the characteristics of nursing as a discipline and combined with China's discipline classification principles,used literature analysis,comprehensive classification,philosophical reflection,logical reasoning,and expert consultation methods to explore the connotation of nursing,its unique research objects and scope,and to construct a secondary-level discipline classification system for nursing science that is suitable for China's national conditions.The paper also discussed the challenges faced by the nursing discipline and its future development directions,providing theoretical and practical guidance for the development of the nursing discipline.

Objective:To analyze the serological and molecular characteristics of rare A el and B el subtypes in the ABO blood group system, and to explore their genotype-phenotype correlation and the potential clinical significance. Methods:From January 1st, 2021, to January 1st, 2025, 289, 815 samples subjected to ABO blood grouping in Henan Provincial People′s Hospital were selected. Samples demonstrating discrepancies between forward and reverse typing, or consistent typing but with abnormal agglutination degree were included. Those affected by underlying diseases, transplantation, age-related and other interferences were excluded. A total of 169 suspected ABO subgroup samples were identified. Sanger sequencing of exons 1-7 and relevant regulatory regions of the ABO gene was performed. Protein structure modeling and mutation effect analysis for two'el′ subtype glycosyltransferases (GTs) were conducted using SWISS-MODEL and PyMOL.Results:A total of 12 Ael, 6 B el, and 2 AB el subtypes were identified. Serological analysis revealed that all 18 A el/B el samples exhibited O phenotype in forward typing. Among them, A el subtypes showed weaker agglutination in reverse typing with A 1c than with Bc (>2+), while the opposite pattern was observed in B el subtypes. The two AB el samples were typed as A in forward typing, with agglutination ranging from 0-1+with Bc in reverse typing. Genetic analysis indicated that AEL.02 (c.646T>A, p.Phe216Ile) was the predominant allele in A el samples accounting for 7 cases. Also, we found an AEL.02-like variant (lacking c.681G>A), AEL.10 (c.963insC), and carrying a compound variant of c.322C>T (p.Gln108Ter) and c.296C>T (p.Thr99Ile). Among B el samples, BEL.03 (c.502C>T, p.Arg168Trp) accounted for 4 cases, one of which lacked the c.297A>G mutation, and novel mutations such as c.145_146dupCG were detected. Structural simulation demonstrated that AEL.02 and BEL.03 disrupted the hydrogen-bonding network within the active centers of GTA and GTB, respectively, and these mutations probably significantly impaired the structural stability of the corresponding GTs. Additionally, the c.296C>T mutation also markedly affected GTA structural stability. Conclusion:A el/B el subtypes are prone to mis-identify routine blood types. Their molecular mechanisms involved a variety of functional variantions, and integrating molecular detection is crucial for achieving accurate sub-typing and transfusion safety.

Objective To screen long non-coding RNA(lncRNA)associated with lymph node metasta-sis in papillary thyroid carcinoma(PTC)and verify its function in vitro,so as to provide a theoretical basis for elucidating the molecular mechanism of lymph node metastasis in PTC.Methods lncRNA+mRNA microar-ray was used to detect the differential expression of lncRNA and mRNA in PTC cancer tissues with and with-out lymph node metastasis.Real time fluorescence quantitative PCR(qPCR)verified target differential lncR-NAs.Lentivirus was used as vector to construct high and low lncRNA expression PTC cell lines.Cell counting kit-8(CCK-8),cell scratches assay,Transwell assay,cell clone formation assay were used to detect the effects of target lncRNA on proliferation,migration,invasion,clonal formation of PTC cells.Results Compared with 5 cases of PTC tissues without lymph node metastasis,gene chips detected 119 lncRNA and 53 mRNA expres-sion levels upregulated,while 263 lncRNA and 198 mRNA expression levels down regulated in 5 cases of PTC tissues with lymph node metastasis.Furthermore,21 lncRNAs were selected for validation in the original 10 PTC samples,and the results showed that,compared with PTC tissues without lymph node metastasis,lncR-NAs FLJ20444,DPP10-AS1 and ENST00000567197 were highly expressed in PTC tissues with lymph node metastasis,while uc021thd.1,LNC00944,ENST00000429730 and BLNK were lowly expressed(P＜0.05).In addition,qPCR results of another 30 fresh PTC tissues showed that compared with PTC tissues without lymph node metastasis,DPP10-AS1 was highly expressed and LNC00944 was lowly expressed in PTC tissues with lymph node metastasis(P＜0.05).Cell function experiments showed that the proliferation,migration,invasion,and colony formation abilities of PTC cells in the DPP10-AS1 high expression group were higher than those in the DPP10-AS1 low expression group,and the differences were statistically significant(P＜0.05).Conclusion lncRNA DPP10-AS1 may play a role in PTC metastasis through certain signaling pathways.

Postoperative delirium(POD),as a highly prevalent acute neurological complication after cardiac surgery,has become a key challenge in perioperative management as it is significantly associated with adverse outcomes such as prolonged hospital stay,delayed functional recovery and increased mortality.With the expansion of medical data scale and the advancement of artificial intelligence technology,machine learning-based POD risk prediction models,with their advantages of efficiently integrating multi-dimensional data and analysing complex non-linear relationships,provide a new avenue for early detection and intervention of POD.Existing studies have shown that supervised learning and integration algorithms can significantly improve pre-diction performance through feature screening and weight optimisation,but model construction still faces chal-lenges such as high data heterogeneity and sample bias.Although external validation is a key link to promote clinical translation of models,barriers to inter-centre data sharing and privacy issues limit their practical appli-cation.In addition,current research generally suffers from shortcomings such as insufficient model interpret-ability,real-time prediction delay,and limited clinical adaptability.This article systematically reviewed the ap-plication progress,potential,and limitations of machine learning in predicting POD risks in cardiac surgery,providing multidimensional theoretical support for building a precise and personalized perioperative risk man-agement system.The aim is to promote the upgrading of clinical decision-making systems,improve patient prognosis,and achieve intelligent allocation of medical resources.

Objective To analyze the distribution of serum food specific immunoglobulin(Ig)E and IgG antibodies in patients with adverse food reactions in Qingdao area.Methods The specific IgE test results of 4 199 patients with suspected food allergy and the specific IgG test results of 741 patients with food intoler-ance were collected from the Affiliated Hospital of Qingdao University from 2012 to 2022.A total of 4 199 pa-tients with suspected food allergy(2 308 males and 1 891 females)were enrolled in this study.According to the age,the patients were divided into infancy(＜1 year old)205 cases,early childhood(1-＜3 years old)1009 cases,childhood(3-＜14 years old)1 946 cases,adolescence(14-＜18 years old)99 cases,youth(18-＜40 years old)554 cases,middle age(40-＜65 years old)329 cases and old age(≥65 years old)57 cases.A to-tal of 741 patients with food intolerance(469 males and 272 females)were enrolled in this study.According to the age,the patients were divided into 81 cases in infancy(＜1 year old),298 cases in early childhood(1-＜3 years old)and 362 cases in childhood(3-＜14 years old).Enzyme-linked immunosorbent assay was used to detect the positive rates of IgE and IgG antibodies in serum of patients,and the positive rates of IgE and IgG antibodies in patients with different gender and age were compared.Results Egg white and cow's milk were the most sensitive foods in infants and young children.The positive rate of specific IgE antibody decreased gradually with the increase of age,and increased slightly in old age.The positive rate of specific IgE antibody in shrimp and crab increased first and then decreased with age,and it was higher in young and middle age.The tolerance of infants and children to meat and crustaceans was relatively strong,and the positive rate of food specific IgG to fish was higher than that to meat(P＜0.05).The positive rate of tomato-specific IgG was the highest in infancy and gradually decreased with age(P＜0.05).Conclusion With the increase of age and the change of dietary structure,the positive rate of food specific IgG antibody may change significantly.Clinicians should accurately grasp the epidemiological characteristics of food adverse reactions in this area,and adjust and optimize the diet structure of patients to make correct diagnosis and treatment.

BACKGROUND:Fibromyalgia syndrome,as a common rheumatic disease,is related to central sensitization and immune abnormalities.However,the specific mechanism has not been elucidated,and there is a lack of specific diagnostic markers.Exploring the possible pathogenesis of this disease has important clinical significance. OBJECTIVE:To screen the potential diagnostic marker genes of fibromyalgia syndrome and analyze the possible immune infiltration characteristics based on bioinformatics methods,such as weighted gene co-expression network analysis(WGCNA),and machine learning. METHODS:Gene expression profiles in peripheral serum of fibromyalgia syndrome patients and healthy controls were obtained from the gene expression omnibus(GEO)database.The differentially co-expressed genes were screened in the expression profile by differential analysis and WGCNA analysis.Least absolute shrinkage and selection operator(LASSO)and support vector machine-recursive feature elimination(SVM-RFE)machine learning algorithm were further used to identify hub biomarkers,and draw receiver operating characteristic curve(ROC)to evaluate the accuracy of diagnosing fibromyalgia syndrome.Finally,single sample gene set enrichment analysis(ssGSEA)and gene set enrichment analysis(GSEA)were used to evaluate the immune cell infiltration and pathway enrichment in patients with fibromyalgia syndrome. RESULTS AND CONCLUSION:Eight down-regulated differentially expressed genes(DEGs)were obtained after differential analysis of the GSE67311 dataset according to the conditions of log2|(FC)|>0 and P<0.05.After WGCNA analysis,497 genes were included in the module(MEdarkviolet)with the highest positive correlation(r=0.22,P=0.04),and 19 genes were included in the module(MEsalmon2)with the highest negative correlation(r=-0.41,P=6×10-5).After intersecting DEGs and the module genes of WGCNA,seven genes were obtained.Four genes were screened out by LASSO regression algorithm and five genes were screened out by SVM-RFE machine learning algorithm.After the intersection of the two,three core genes were identified,which were germinal center associated signaling and motility like,integrin beta-8,and carboxypeptidase A3.The areas under the ROC curve of the three core genes were 0.744,0.739,and 0.734,respectively,indicating that they have good diagnostic value and can be used as biomarkers for fibromyalgia syndrome.The results of immune infiltration analysis showed that memory B cells,CD56 bright NK cells,and mast cells were significantly down-regulated in patients with fibromyalgia syndrome compared with the control group(P<0.05),and were significantly positively correlated with the above three biomarkers(P<0.05).The enrichment analysis suggested that there were nine fibromyalgia syndrome enrichment pathways,mainly related to olfactory transduction pathway,neuroactive ligand-receptor interaction,and infection pathway.The above results showed that the occurrence and development of fibromyalgia syndrome are related to the involvement of multiple genes,abnormal immune regulation,and multiple pathways imbalance.However,the interactions between these genes and immune cells,as well as their relationships with various pathways need to be further investigated.