BACKGROUND: Valvular heart disease (VHD) has become increasingly common with the aging in China. This study aimed to evaluate regional differences in the clinical features, management strategies, and outcomes of patients with VHD across different regions in China. METHODS: Data were collected from the China-VHD Study. From April 2018 to June 2018, 12,347 patients who presented with moderate or severe native VHD with a median of 2 years of follow-up from 46 centers at certified tertiary hospitals across 31 provinces, autonomous regions, and municipalities in Chinese mainland were included in this study. According to the locations of the research centers, patients were divided into five regional groups: eastern, southern, western, northern, and central China. The clinical features of VHD patients were compared among the five geographical regions. The primary outcome was all-cause mortality or rehospitalization for heart failure. Kaplan-Meier survival analysis was used to compare the cumulative incidence rate. RESULTS: Among the enrolled patients (mean age, 61.96 years; 6877 [55.70%] male), multiple VHD was the most frequent type (4042, 32.74%), which was mainly found in eastern China, followed by isolated mitral regurgitation (3044, 24.65%), which was mainly found in northern China. The etiology of VHD varied significantly across different regions of China. The overall rate of valve interventions was 32.67% (4008/12,268), with the highest rate in southern China at 48.46% (205/423). In terms of procedure, the proportion of transcatheter valve intervention was relatively low compared to that of surgical treatment. Patients with VHD in western China had the highest incidence of all-cause mortality or rehospitalization for heart failure. Valve intervention significantly improved the outcome of patients with VHD in all five regions (all P  <0.05). CONCLUSIONS: This study revealed that patients with VHD in China are characterized by significant geographic disparities in clinical features, treatment, and clinical outcomes. Targeted efforts are needed to improve the management and prognosis of patients with VHD in China according to differences in geographical characteristics. REGISTRATION ClinicalTrials.gov , NCT03484806.
Aged ; Female ; Humans ; Male ; Middle Aged ; China/epidemiology* ; Heart Valve Diseases/therapy* ; Kaplan-Meier Estimate ; Tertiary Care Centers ; Treatment Outcome

OBJECTIVES: To create a mixed valvular heart disease (MVHD)-related age-adjusted comorbidity index (MVACI) model for predicting mortality risk of patients with MVHD. METHODS: A total of 4080 patients with moderate or severe MVHD in the China-VHD study were included. The primary endpoint was 2-year all-cause mortality. A MVACI model prediction model was constructed based on the mortality risk factors identified by univariate and multivariate Cox regression analysis. Restricted cubic splines were used to assess the relationship between MVACI scores and 2-year all-cause mortality. The optimal threshold, determined by the maximum Youden index from receiver operator characteristic (ROC) curve analysis, was used to stratify patients. Kaplan-Meier method was used to calculate 2-year all-cause mortality and compared using the Log-rank test. Univariate and multivariate Cox proportional hazards models were employed to calculate hazard ratios (HR) and 95% confidence intervals (CI), evaluating the association between MVACI scores and mortality. Paired ROC curves were used to compare the discriminative ability of MVACI scores with the European System for Cardiac Operative Risk Evaluation Ⅱ(EuroSCORE Ⅱ) or the age-adjusted Charlson comorbidity index (ACCI) in predicting 2-year clinical outcomes, while calibration curves assessed the calibration of these models. Internal validation was performed using the Bootstrap method. Subgroup analyses were conducted based on etiology, treatment strategies, and disease severity. RESULTS: Multivariate analysis identified the following variables independently associated with 2-year all-cause mortality in patients: pulmonary hypertension, myocardiopathy, heart failure, low body weight (body mass index <18.5 kg/m²), anaemia, hypoalbuminemia, renal insufficiency, cancer, New York Heart Association (NYHA) class and age. The score was independently associated with the risk of all-cause mortality, and exhibited good discrimination (AUC=0.777, 95%CI: 0.755-0.799) and calibration (Brier score 0.062), with significantly better predictive performance than EuroSCORE Ⅱ or ACCI (both adjusted P<0.01). The internal validation showed that the MVACI model's predicted probability of 2-year all-cause mortality was generally consistent with the actual probability. The AUCs for predicting all-cause mortality risk were all above 0.750, and those for predicting adverse events were all above 0.630. The prognostic value of the score remained consistent in patients regardless of their etiology, therapeutic option, and disease severity. CONCLUSIONS The MVACI was constructed in this study based on age and comorbidities, and can be used for mortality risk prediction and risk stratification of MVHD patients. It is a simple algorithmic index and easy to use.
Humans ; Prognosis ; Comorbidity ; Heart Valve Diseases/epidemiology* ; Female ; Male ; Middle Aged ; Aged ; Proportional Hazards Models ; Risk Factors ; China/epidemiology* ; Age Factors ; Risk Assessment ; Adult ; ROC Curve

Ischemia-reperfusion (I/R) injury following skin flap transplantation is a critical factor leading to flap necrosis and transplant failure. Antagonizing inflammatory responses and oxidative stress are regarded as crucial targets for mitigating reperfusion injury and enhancing flap survival. In this study, caffeic acid-vanadium metal polyphenol nanoparticles (CA-V NPs) were prepared for the treatment of skin flap ischemia and reperfusion. This study was conducted using a one-step method to prepare new types of CA-V NPs with uniform sizes and stable structures. In vitro, the CA-V NPs exhibited CAT-like and SOD-like activities and could effectively scavenge ROS, generate oxygen, and alleviate oxidative stress. In the H₂O₂-induced cellular oxidative stress model, CA-V NPs effectively reduced ROS levels and inhibited apoptosis through the XIAP/Caspase-3 pathway. In the cellular inflammation model induced by LPS combined with IFN-γ, CA-V NPs reprogrammed macrophage polarization toward the M2 phenotype and reduced inflammatory responses by reducing the expression of the chemokines CCL4 and CXCL2. In addition, animal experiments have shown that CA-V NPs can alleviate oxidative stress in skin flap tissues, inhibit apoptosis, promote angiogenesis, and ultimately improve the survival rate of skin flaps. CA-V NPs provide a new target and strategy for the treatment of flap I/R injury.

Objective To predict whether antiviral therapy is required in patients with chronic hepatitis B virus(HBV)infection and an age of≤30 years by establishing a noninvasive model,and to investigate the diagnostic value of this model.Methods A retrospective analysis was performed for the clinical data of 175 patients with chronic HBV infection who were admitted to Shenzhen Third People's Hospital from January 2017 to January 2023 and met the inclusion criteria,and according to the results of liver biopsy,they were divided into treatment group with 41 patients(with indications for antiviral therapy)and observation group with 134 patients(without indications for antiviral therapy).The two groups were analyzed in terms of the indicators including clinical data,imaging examinations,and serum biochemical parameters.The univariate and multivariate Logistic regression analyses were used to investigate the parameters affecting the indication for antiviral therapy,and different models for predicting the need for antiviral therapy were constructed based on related parameters.The receiver operating characteristic(ROC)curve was used to compare the diagnostic value of different models.The independent-samples t test was used for comparison of normally distributed continuous variables between groups,and the Mann-Whitney U rank sum test was used for comparison of non-normally distributed continuous variables between groups;the chi-square test or the Fisher's exact test was used for comparison of categorical data between groups.Results There were significant differences between the treatment group and the observation group in alanine aminotransferase,ferritin,total cholesterol(CHOL),triglyceride,platelet count,liver stiffness measured by sound touch elastography(STE),and procollagen Ⅲ N-terminal propeptide(PIIIP)(all P<0.05).The multivariate Logistic regression analysis showed that CHOL(odds ratio[OR]=0.4,95％confidence interval[CI]:0.2—1.0),STE(OR=1.5,95％CI:1.0—2.1),and PIIIP(OR=1.1,95％CI:1.0—1.1)were independent predictive factors for the indications for antiviral therapy.Model 1(STE+PIIIP+CHOL),model 2(STE+PIIIP),model 3(STE+CHOL),model 4(PIIIP+CHOL)had an area under the ROC curve of 0.908,0.848,0.725,and 0.725,respectively,while STE,PIIIP,and CHOL used alone had an AUC of 0.836,0.725,and 0.634,respectively,suggesting that model 1 had the largest AUC,with a specificity of 77.34％and a sensitivity of 96.36％,and had a significant difference compared with STE,PIIIP,CHOL,and the models 2,3,and 4(Z=0.21,3.08,3.06,3.23,0.89,and 0.88,all P<0.05).Conclusion The noninvasive model established based on CHOL,STE,and PIIIP has a good value in predicting the need for antiviral therapy in patients with chronic HBV infection and an age of≤30 years.

Objective To establish a noninvasive diagnostic model for liver fibrosis in chronic hepatitis B(CHB)patients with normal alanine aminotransferase(ALT)and an age of≤30 years by selecting specific indicators from the commonly used noninvasive indicators such as clinical,biochemical,and imaging indicators,to avoid invasive liver biopsy in such patients to some extent,and to guide the timing of antiviral therapy.Methods A total of 251 CHB patients with normal ALT and an age of≤30 years who underwent liver biopsy in Shenzhen Third People's Hospital and The First Hospital of Changsha from January 2019 to January 2022 were enrolled,with 175 patients in the model group and 76 patients in the validation group,and commonly used clinical indicators were obtained based on clinical experience and related articles.The two-independent-samples t test or the two-independent-samples Mann-Whitney U rank sum test was used for comparison of continuous data between groups,and the chi-square test was used for comparison of categorical data between groups.A Spearman rank correlation analysis was used to investigate the correlation between each indicator and liver fibrosis and identify the indicators with correlation(P<0.01,r>0.200);a Logistic regression analysis was used to establish a noninvasive diagnostic model,and the receiver operating characteristic(ROC)curve was used to evaluate its performance and perform validation of the model;this model was then compared with the widely used models of aspartate aminotransferase-to-platelet ratio index(APRI)and fibrosis-4(FIB-4).The Kappa consistency test was used to investigate the consistency of pathological results.Results A total of 17 commonly used clinical indicators were obtained,among which 9 indicators(ALT,aspartate aminotransferase[AST],gamma-glutamyl transpeptidase[GGT],ferritin[FERR],platelet count[PLT],procollagen type Ⅲ amino-terminal peptide[PⅢP],collagen Ⅳ[CⅣ],HBV DNA,and spleen thickness)were correlated with liver fibrosis(P<0.01,r>0.232).Based on the above indicators,the predictive model was established as P=1/(1+e-γ),γ=-1.902+0.106×AST-0.011×PLT-0.265×HBV DNA+0.059×PⅢP,in which P was the probability for predicting≥S2 liver fibrosis and γ was the predictive index.The comparison between each indicator and the model showed that the model had the largest area under the ROC curve of 0.852,with a sensitivity of 92.7%and a specificity of 76.9%.The model was validated in 76 patients and showed an accuracy of 77.600%.The model was compared with APRI and FIB-4,and the results showed that the model has good accuracy.Conclusion Compared with the models of APRI and FIB-4 commonly used in the world,this model can more accurately judge the degree of liver fibrosis in such patients,thereby replacing liver biopsy to some extent and guiding the timing of antiviral therapy.

Objective To explore the effect and mechanism of microRNA(miR)-155-5p on myocardial pyroptosis in rats with myocardial ischemia-reperfusion injury(IRI).Methods Sixty SD rats were randomly divided into sham group,IRI group,agomir-NC group,miR-155-5p agomir group,antagomir-NC group,and miR-155-5p antagomir group,with 10 rats in each group.Echocardiography was used to measure the left ventricular end-diastolic diameter(LVEDD),left ventricular end-systolic diameter(LVESD),left ventricular ejection fraction(LVEF),and left ventricular fractional shortening(LVFS)of rats.Enzyme-linked immune absorbent assay(ELISA)was used to detect the levels of creatine kinase isoenzyme(CK-MB),lactate dehydrogenase(LDH),and cardiac troponin T(cTnT)in serum,as well as the levels of interleukin(IL)-1β,IL-6,IL-18,and tumor necrosis factor(TNF)-α in myocardial tissue of rats.Hematoxylin-eosin staining was used to observe pathological changes in rat myocardial tissue.Real-time fluorescent quantitative polymerase chain reaction was used to detect the expression levels of miR-155-5p and silent information regulator 1(SIRT1)messenger RNA(mRNA)in myocardial tissue of rats.Dual-luciferase reporter gene assay was used to verify the targeting relationship between miR-155-5p and SIRT1.Western blot was used to detect the expression levels of SIRT1,NOD-like receptor protein 3(NLRP3),cleaved cysteine aspartate specific proteinase-1(Cleaved Caspase-1),and gasdermin D(GSDMD)proteins in myocardial tissue of rats.Results Compared with the sham group,the LVEDD and LVESD of rats in the IRI group were increased,LVEF and LVFS were decreased,serum levels of CK-MB,LDH,and cTnT were increased,IL-1β,IL-6,IL-18 and TNF-α levels in myocardial tissue were increased,myocardial tissue structure was severely damaged,myocardial fibers were disordered,relative expression of NLRP3,Cleaved Caspase-1,and GSDMD proteins were increased,and the relative expression of SIRT1 protein was decreased(all P<0.05/5).Compared with the IRI group,the rats in the miR-155-5p agomir group had increased LVEDD and LVESD,decreased LVEF and LVFS,increased serum levels of CK-MB,LDH,and cTnT,increased myocardial tissue levels of IL-1β,IL-6,IL-18,TNF-α,aggravated myocardial tissue lesions,increased relative expression of NLRP3,Cleaved Caspase-1,and GSDMD proteins,and decreased relative expression of SIRT1 protein,and the rats in the miR-155-5p antagomir group had decreased LVEDD and LVESD,increased LVEF and LVFS,decreased serum levels of CK-MB,LDH,and cTnT,decreased myocardial tissue levels of IL-1β,IL-6,IL-18,TNF-α,reduced myocardial tissue lesions,decreased relative expression of NLRP3,Cleaved Caspase-1,and GSDMD proteins,and increased relative expression of SIRT1 protein(all P<0.05/5).miR-155-5p was negatively correlated with the expression levels of SIRT1 in rat myocardial tissue,and SIRT1 was a target gene of miR-155-5p.Conclusions miR-155-5p may participate in the regulation of myocardial IRI in rats by targeting the downregulation of SIRT1 and promoting NLRP3-mediated myocardial pyroptosis.

Pheochromocytomas and paragangliomas(PPGLs)cause symptoms by altering the circulation levels of catecholamines and peptide hormones.Currently,the diagnosis of PPGLs relies on diagnostic imaging and the detection of catecholamines.In this study,we used ultra-performance liquid chromatography(UPLC)/quadrupole time-of-flight mass spectrometry(Q-TOF MS)analysis to identify and measure the perioperative differential metabolites in the plasma of adrenal pheochromocytoma patients.We identified differentially expressed genes by comparing the transcriptomic data of pheochromocytoma with the normal adrenal medulla.Through conducting two steps of metabolomics analysis,we identified 111 differential metabolites between the healthy group and the patient group,among which 53 metabolites were validated.By integrating the information of differential metabolites and differentially expressed genes,we inferred that the cysteine-methionine,pyrimidine,and tyrosine metabolism pathways were the three main metabolic pathways altered by the neoplasm.The analysis of transcription levels revealed that the tyrosine and cysteine-methionine metabolism pathways were downregulated in pheochromocytoma,whereas the pyrimidine pathway showed no significant difference.Finally,we developed an optimized diagnostic model of two metabolites,L-dihydroorotic acid and vanylglycol.Our results for these metabolites suggest that they may serve as potential clinical biomarkers and can be used to supplement and improve the diagnosis of pheochromocytoma.

Objective To establish a Nomogram model for assessing the risk of intestinal colonization by Carbapenem-Resistant Klebsiella pneumoniae(CRKP)to determine the specific probability of colonization and adopt individualized prevention strategies for the purpose of reducing the occurrence of colonization and secondary infection of neonatal CRKP.Methods A total of 187 neonates hospitalized between January 2021 and October 2022 and diagnosed with CRKP colonization by rectal swab/fecal culture as well drug sensitivity identification 48 h after admission were assigned to the CRKP group.Another 187 neonates without non-CRKP colonization during the same period were set as the non-CRKP group.All the data of the two groups were used for a retrospective analysis.The caret package in R 4.2.1 was used to randomly divide the 374 cases into the model group and validation group at a ratio of 3∶1.Then the glmnet package in R 4.2.1 was used to conduct a LASSO regression analysis over the data from the model group to determine the predictive factors for modeling and the rms software package was used to build a Nomogram model.The pROC and rms packages in R 4.2.1 were used to examine the data,analyzing the consistency indexes(Cindex),receiver operating characteristic curves(ROC),and area under the curves(AUC)and performing the internal and external validation of the efficacy of the Nomogram model via the calibration curves.Results LASSO regression analysis determined eight predictors from the 35 factors probably affecting neonatal CRKP colonization:gender,cesarean section,breastfeeding,nasogastric tube,enema,carbapenems,probiotics,and hospital stay.The Nomogram model constructed using these eight predictors as variables could predict CRKP colonization to a moderate extent,with the area under the ROC curve of 0.835 and 0.800 in the model and validation group,respectively.The Hos-mer-Lemeshow test showed that the predicted probability was highly consistent with the actual probability(the modeling group:P = 0.678>0.05;the validation group:P = 0.208>0.05),presenting a higher degree of fitting.Conclusion The Nomogram model containing such variables as gender,cesarean section,breastfeeding,nasogastric tube,enema,carbapenems,probiotics,and hospital stay is more effective in predicting the risk of neonatal CRKP colonization.Therefore,preventive measures should be individualized based on the colonization probability predicted by the Nomogram model in order to keep neonates from CRKP colonization and reduce the incidence of secondary CRKP infections among them.

Bacterial biofilms(BF)are complex microbial communities formed by bacteria on living or abiotic surfaces.Their formation significantly enhances bacterial virulence and drug resistance and is associated with a high proportion of chronic bacterial infections,posing a serious threat to human health.The ability of traditional antibiotics and commonly used disinfectants to clear biofilms is limited,and an effective new strategy to treat BF is urgently needed.Bacteriophage,as a kind of virus that can infect and lyse bacteria,has high safety and specificity,and is considered as a promising alternative method for the treatment of BF.In this paper,the mechanism of bacteriophage anti-bacterial biofilm and the application strategies based on bacteriophage and its derivatives in the prevention and control of bacteriophage biofilm formation were reviewed,which provided new ideas for the development of efficient bacteriophage anti-bacterial biofilm methods.

Objective:To screen active antibacterial components from licorice extract using BamA and BamD, the core components of Escherichia coli ( E. coli) β-barrel assembly machinery (BAM), as targets in order to combat the increasingly serious problem of antibiotic resistance. Methods:Affinity ultrafiltration combined with high performance liquid chromatography-mass spectrometry (HPLC-MS) was used to screen the potential components interacting with BamA and BamD from licorice extract. Changes in the expression of bamA and bamD genes of E. coli after treatment with the compounds were detected by fluorescence quantitative PCR, and the effects of the compounds on the function of the BAM complex to integrate outer membrane proteins into the bacterial outer membrane were analyzed using an in vitro recombination system. The influence of the compounds on the integrity of bacterial membranes was evaluated through analyzing the accumulation of SDS within the bacterial cells. Results:Bioaffinity ultrafiltration combined with HPLC-MS screening revealed that 18β-glycyrrhetinic acid could interact with BamD. After 18β-glycyrrhetinic acid treatment, the expression of bamA gene increased by 1.5 times, and the expression of bamD gene increased by 2 times. However, the inhibitory effect of 18β-glycyrrhetinic acid on the membrane insertion function of the BAM complex was not observed in the in vitro recombinant system assay, and the cell membrane integrity assay experiments did not reveal any disruption of the E. coli cell membrane by 18β-glycyrrhetinic acid. Conclusions:Using BamA and BamD proteins as targets, a natural product screening method using affinity ultrafiltration combined with HPLC-MS is established. The screening result shows that 18β-glycyrrhetinic acid can interact with BamD and affect the expression of outer membrane proteins in E. coli. Therefore, the screening and experimental procedures established in this study are of good reference value for the screening of novel antimicrobial drugs from other sources targeting outer membrane proteins, and this study also suggests that the selection of the relevant target sites is crucial for the successful screening of the corresponding natural products.