Objective To explore the predictive value of triglyceride-glucose(TyG)index combined with endothelial cell specific molecule 1(ESM-1)for ischemic events in patients with coronary heart disease(CHD)and hypertension after percutaneous coronary intervention(PCI).Methods A retrospective analysis was performed on 208 hypertension patients with CHD undergoing PCI in the Second Cardiovascular Department of Shangqiu First People's Hospital from March 2021 to March 2024.According to the occurrence of ischemic events during 1 year after surgery,they were divided into an ischemic event group(31 cases)and a non-ischemic event group(177 cases).In 1 d after surgery,5 ml of fasting venous blood was collected to test fasting blood glucose(FBG),blood lipids,liver function,ESM-1 and other indicators,and TyG index was calculated.Multivari-ate logistic regression analysis was used to analyze the correlation of TyG index and ESM-1 with ischemic events after PCI in the patients.ROC curve was plotted to evaluate the value of TyG in-dex combined with ESM-1 in predicting ischemic events after PCI,and the AUC value was calcu-lated.Results The levels of FBG,low-density lipoprotein cholesterol(LDL-C),triglyceride(TG),TyG index and ESM-1 were significantly higher,while the level of high-density lipoprotein cholesterol(HDL-C)was obviously lower in the ischemic event group than the non-ischemic event group(P＜0.01).Multivariate logistic regression analysis showed that hyperlipidemia,number of vessel disease,FBG,LDL-C,HDL-C,TG,TyG index and ESM-1 were independent risk factors for ischemic events in hypertension and CHD patients after PCI(P＜0.05,P＜0.01).ROC curve anal-ysis indicated that the AUC value of TyG index and ESM-1 combined together in predicting ische-mic events after PCI in hypertension patients with CHD was statistically higher than that of sin-gle indicator[0.861(95％CI:0.797-0.928)vs 0.746(95％CI:0.660-0.831)and 0.725(95％CI:0.622-0.827),P＜0.01].Conclusion High TyG index and high ESM-1 level are independent risk factors for ischemic events after PCI in hypertension patients with CHD.The combination of two indicators has good efficiency for risk of ischemic events after PCI in the patients.

Ovulatory dysfunction (OD) is one of the main causes of infertility in women of childbearing age, which not only affects their reproductive ability, but also physical and mental health. Traditional treatment strategies have limited efficacies, and the emergence of biomedicines provides a promising alternative solution via the strategies of combining engineered design with modern advanced technology. This review explores the pathophysiological characteristics and related induction mechanisms of OD, and evaluates the current cutting-edge advances in its treatments. It emphasizes the potentials of biomedicines strategies such as hydrogels, nanoparticles and extracellular vesicles in improving therapeutic precision and efficacy. By mimicking natural physiological processes, and achieving controlled drug release, these advanced drug carriers are expected to address the challenges in ovarian microenvironment reprogramming, tissue repair, and metabolic and immune regulation. Despite the promising progress, there are still challenges in terms of biomedical complexity, differences between animal models and human physiology, and the demand for intelligent drug carriers in the therapy of OD. Future researches are mainly dedicated to developing precise personalized biomedicines in OD therapy through interdisciplinary collaboration, promoting the development of reproductive regenerative medicine.

Objective To explore the predictive value of triglyceride-glucose(TyG)index combined with endothelial cell specific molecule 1(ESM-1)for ischemic events in patients with coronary heart disease(CHD)and hypertension after percutaneous coronary intervention(PCI).Methods A retrospective analysis was performed on 208 hypertension patients with CHD undergoing PCI in the Second Cardiovascular Department of Shangqiu First People's Hospital from March 2021 to March 2024.According to the occurrence of ischemic events during 1 year after surgery,they were divided into an ischemic event group(31 cases)and a non-ischemic event group(177 cases).In 1 d after surgery,5 ml of fasting venous blood was collected to test fasting blood glucose(FBG),blood lipids,liver function,ESM-1 and other indicators,and TyG index was calculated.Multivari-ate logistic regression analysis was used to analyze the correlation of TyG index and ESM-1 with ischemic events after PCI in the patients.ROC curve was plotted to evaluate the value of TyG in-dex combined with ESM-1 in predicting ischemic events after PCI,and the AUC value was calcu-lated.Results The levels of FBG,low-density lipoprotein cholesterol(LDL-C),triglyceride(TG),TyG index and ESM-1 were significantly higher,while the level of high-density lipoprotein cholesterol(HDL-C)was obviously lower in the ischemic event group than the non-ischemic event group(P＜0.01).Multivariate logistic regression analysis showed that hyperlipidemia,number of vessel disease,FBG,LDL-C,HDL-C,TG,TyG index and ESM-1 were independent risk factors for ischemic events in hypertension and CHD patients after PCI(P＜0.05,P＜0.01).ROC curve anal-ysis indicated that the AUC value of TyG index and ESM-1 combined together in predicting ische-mic events after PCI in hypertension patients with CHD was statistically higher than that of sin-gle indicator[0.861(95％CI:0.797-0.928)vs 0.746(95％CI:0.660-0.831)and 0.725(95％CI:0.622-0.827),P＜0.01].Conclusion High TyG index and high ESM-1 level are independent risk factors for ischemic events after PCI in hypertension patients with CHD.The combination of two indicators has good efficiency for risk of ischemic events after PCI in the patients.

Objective:This study aims to explore the predictive value of T2-weighted imaging (T2WI), apparent diffusion coefficient (ADC), and early-delayed phases enhanced magnetic resonance imaging (DCE-MRI) radiomics prediction model in determining human epidermal growth factor receptor 2 status in breast cancer.Methods:A retrospective study was conducted, involving 187 patients with confirmed breast cancer by postsurgical pathology at Zhenjiang First People's Hospital during January 2021 and May 2023. Immunohistochemistry or fluorescence in situ hybridization was used to determine the HER-2 status of these patients, with 48 cases classified as HER-2 positive and 139 cases as HER-2 negative. The training set was used to construct the prediction models and the validation set was used to verify the prediction models. Layers of T2WI, ADC, and early-delayed phase DCE-MRI images were used to delineate the volumeof interest and 960 radiomic features were extracted from each case using Pyradiomic. After screening and dimensionality reduction by intraclass correlation coefficient, Pearson correlation analysis, least absolute shrinkage, and selection operator, the radiomics labels were established. Logistic regression analysis was used to construct the T2WI radiomics model, ADC radiomics model, DCE-2 radiomics model, DCE-6 radiomics model, and the joint sequence radiomics model to predict the HER-2 expression status of breast cancer, respectively. Based on the clinical, pathological, and MRI image characteristics of patients, univariate and multivariate logistic regression analysis wasused to construct a clinicopathological MRI feature model. The radscore of every patient and the clinicopathological MRI features which were statistically significant after screening were used to construct a nomogram model. The receiver operating characteristic (ROC) curve was used to evaluate the predictive performance of each model and the decision curve analysis wasused to evaluate the clinical usefulness.Results:The T2WI, ADC, DCE-2, DCE-6, and joint sequence radiomics models, the clinicopathological MRI feature model, and the nomogram model were successfully constructed to predict the expression status of HER-2 in breast cancer. ROC analysis showed that in the training set and validation set, the areas under the curve (AUC) of the T2WI radiomics model were 0.797 and 0.760, of the ADC radiomics model were 0.776 and 0.634, of the DCE-2 radiomics model were 0.804 and 0.759, of the DCE-6 radiomics model were 0.869 and 0.798, of the combined sequence radiomics model were 0.908 and 0.847, of the clinicopathological MRI feature model were 0.703 and 0.693, and of the nomogram model were 0.938 and 0.859, respectively. In the training set, the combined sequence radiomics model outperformed the clinicopathological features model ( P＜0.001). In the training and validation sets, the nomogram outperformed the clinicopathological features model ( P＜0.05). In addition, the diagnostic performance of the nomogram was better than that of the four single-modality radiomics models in the training cohort ( P＜0.05) and was better than that of DCE-2 and ADC models in the validation cohort ( P＜0.05). Decision curve analysis indicated that the value of individualized prediction models was higher than clinical and pathological prediction models in clinical practice. The calibration curve showed that the multimodal radiomics model had a high consistency with the actual results in predicting HER-2 expression. Conclusions:T2WI, ADC and early-delayed phase DCE-MRI imaging histology models for HER-2 expression status in breast cancer are expected to provide a non-invasive virtual pathological basis for decision-making on preoperative neoadjuvant regimens in breast cancer.

Objective:This study aims to explore the predictive value of T2-weighted imaging (T2WI), apparent diffusion coefficient (ADC), and early-delayed phases enhanced magnetic resonance imaging (DCE-MRI) radiomics prediction model in determining human epidermal growth factor receptor 2 status in breast cancer.Methods:A retrospective study was conducted, involving 187 patients with confirmed breast cancer by postsurgical pathology at Zhenjiang First People's Hospital during January 2021 and May 2023. Immunohistochemistry or fluorescence in situ hybridization was used to determine the HER-2 status of these patients, with 48 cases classified as HER-2 positive and 139 cases as HER-2 negative. The training set was used to construct the prediction models and the validation set was used to verify the prediction models. Layers of T2WI, ADC, and early-delayed phase DCE-MRI images were used to delineate the volumeof interest and 960 radiomic features were extracted from each case using Pyradiomic. After screening and dimensionality reduction by intraclass correlation coefficient, Pearson correlation analysis, least absolute shrinkage, and selection operator, the radiomics labels were established. Logistic regression analysis was used to construct the T2WI radiomics model, ADC radiomics model, DCE-2 radiomics model, DCE-6 radiomics model, and the joint sequence radiomics model to predict the HER-2 expression status of breast cancer, respectively. Based on the clinical, pathological, and MRI image characteristics of patients, univariate and multivariate logistic regression analysis wasused to construct a clinicopathological MRI feature model. The radscore of every patient and the clinicopathological MRI features which were statistically significant after screening were used to construct a nomogram model. The receiver operating characteristic (ROC) curve was used to evaluate the predictive performance of each model and the decision curve analysis wasused to evaluate the clinical usefulness.Results:The T2WI, ADC, DCE-2, DCE-6, and joint sequence radiomics models, the clinicopathological MRI feature model, and the nomogram model were successfully constructed to predict the expression status of HER-2 in breast cancer. ROC analysis showed that in the training set and validation set, the areas under the curve (AUC) of the T2WI radiomics model were 0.797 and 0.760, of the ADC radiomics model were 0.776 and 0.634, of the DCE-2 radiomics model were 0.804 and 0.759, of the DCE-6 radiomics model were 0.869 and 0.798, of the combined sequence radiomics model were 0.908 and 0.847, of the clinicopathological MRI feature model were 0.703 and 0.693, and of the nomogram model were 0.938 and 0.859, respectively. In the training set, the combined sequence radiomics model outperformed the clinicopathological features model ( P＜0.001). In the training and validation sets, the nomogram outperformed the clinicopathological features model ( P＜0.05). In addition, the diagnostic performance of the nomogram was better than that of the four single-modality radiomics models in the training cohort ( P＜0.05) and was better than that of DCE-2 and ADC models in the validation cohort ( P＜0.05). Decision curve analysis indicated that the value of individualized prediction models was higher than clinical and pathological prediction models in clinical practice. The calibration curve showed that the multimodal radiomics model had a high consistency with the actual results in predicting HER-2 expression. Conclusions:T2WI, ADC and early-delayed phase DCE-MRI imaging histology models for HER-2 expression status in breast cancer are expected to provide a non-invasive virtual pathological basis for decision-making on preoperative neoadjuvant regimens in breast cancer.

Objective:To analyze the occurrence of malignant ventricular arrhythmias(VA)in elderly heart failure patients with reduced ejection fraction(HFrEF)and its influence on the prognosis.Methods:A total of 1 171 elderly patients with heart failure were included in this study.These patients were admitted to the First People's Hospital of Shangqiu from January 2017 to June 2020.They were divided into three groups: VA group(85 cases), HFrEF group(340 cases), and heart failure with normal left ventricular ejection fracture(LVEF)group(340 cases).The division was based on the propensity score matching(PSM)method with a 1∶4∶4 ratio.The main outcome measure was major adverse cardiovascular events(MACE)in the three groups, which were followed up for 2 years.Results:After PSM, the N-terminal pro-brain natriuretic peptide(NT-proBNP), left ventricular end diastolic diameter(LVEDD), and left ventricular end systolic diameter(LVESD)of the LVEF normal group were significantly lower than those of the HFrEF group and VA group, while LVEF was significantly higher( P<0.05 for all).During a median follow-up of 22(17-25)months, a total of 219 cases(28.6%)of MACE occurred, including 30 cardiac deaths, 133 readmissions with worsening heart failure, and 56 cases of acute coronary syndrome.Kaplan-Meier survival analysis revealed that the VA group had a significantly higher overall risk of MACE compared to the normal LVEF control group and LVEF reduced control group( χ2=6.213, P=0.012).Among the three groups, the VA group exhibited the highest risk of cardiogenic death and worsening heart failure readmission, surpassing the normal LVEF group and HFrEF group( χ2=4.143, 16.861, both P<0.05).The results of the multivariate Logistic regression analysis revealed that a history of VA( OR=1.317, 95% CI: 1.109-1.564, P=0.002), NT-proBNP( OR=2.138, 95% CI: 1.235-3.701, P=0.007), and LVEDD( OR=2.413, 95% CI: 1.134-5.135, P=0.022)were found to be associated with an increased risk of VA during hospitalization.Additionally, the multivariate Cox regression analysis indicated that age >68 years( HR=1.723, 95% CI: 1.134-2.618, P=0.011), new VA occurrence( HR=2.346, 95% CI: 1.268-4.341, P=0.007), diabetes( HR=2.008, 95% CI: 1.135-3.553, P=0.017), NT-proBNP>1 957.3 ng/L( HR=2.734, 95% CI: 1.368-5.464, P=0.004), LVEF<35.0%( HR=2.265, 95% CI: 1.206-4.254, P=0.011), implantable cardioverter defibrillators( HR=0.887, 95% CI: 0.789-0.997, P=0.045), and sodium glucose co transporter 2(SGLT2)inhibitors usage( HR=0.904, 95% CI: 0.833-0.981, P=0.016)were identified as factors related to MACE. Conclusions:Patients diagnosed with VA have a significantly increased risk of MACE during the follow-up period.Several factors, including age, new VA occurrence, diabetes, NT-proBNP levels, LVEF, implantable cardioverter defibrillators, and SGLT2 inhibitor usage, have been found to be associated with the risk of MACE during the follow-up.

Objective:To investigate the characteristics of fragility fractures of pelvis(FFP) in the elderly and compare the clinical efficacy between conservative treatment and minimally invasive surgery.Methods:A retrospective study was conducted in the 56 elderly FFP patients who had been treated at Department of Orthopaedics, The General Hospital of Chinese People＇s Liberation Army from January 2017 to January 2019. They were 16 males and 40 females, with an age of 73.4 years (from 65 to 93 years). By the American Society of Anesthesiologists (ASA) classification, there were 12 cases of grade Ⅰ, 16 cases of grade Ⅱ, 20 cases of grade Ⅲ, and 8 cases of grade Ⅳ; by the FFP classification, there were 6 cases of type Ⅰ, 10 cases of type Ⅱ, 36 cases of type Ⅲ, and 4 cases of type Ⅳ. The morphological characteristics and injury mechanisms of FFP were analyzed. According to the treatment methods, the patients were divided into a conservative treatment group of 32 cases and a minimally invasive surgery group of 24 cases. The 2 groups were compared in terms of complication incidence, mortality and the Koval attenuation rate of walking ability after one-year follow-up.Results:There were mostly the fractures of pubic branches on both sides of the pubic symphysis and compression fractures of the sacral wing caused by lateral crush injury. The 2 groups were comparable due to no significant differences in the preoperative general data between them other than FFP classification ( P>0.05). By one year after treatment, the conservative treatment group had a complication incidence of 34.4% (11/32), a mortality of 9.4% (3/32) and a Koval attenuation rate of walking ability of 13.8% (4/29) while the minimally invasive surgery group had a complication incidence of 20.8% (5/24), a mortality of 4.2% (1/24) and a Koval attenuation rate of walking ability of 8.7%(2/23), showing no significant difference between the 2 groups ( P>0.05). Conclusions:The injury mechanism of geriatric FFP is mostly lateral compression injury. The fracture sites are mostly located on both sides of the pubic symphysis, pubic branches and the sacral wing of anterior and posterior rings simultaneously. Although there may be no significant difference in complication incidence, mortality or Koval attenuation rate of walking ability between conservative treatment and minimally invasive surgery after one year, the minimally invasive surgery deals with more unstable fracture types.

Cerebral ischemia,brain tumor,and spinal cord injury (SCI) are the central nerve disease which usually cause irreversible,severe neurologic deficits or death.Inflammation plays a key role in the associated secondary damage after central nervous system (CNS) injury.Epidermal growth factor receptor (EGFR) excessive activation has been closely implicated in the initiation and progression of inflammation.Previous studies have shown that through depressing CNS inflammation,EGFR inhibitors may play a role in the therapeutic treatment of CNS disorders.We mainly reviewed the mechanisms of EGFR signaling pathway activation mediating inflammatory damage in CNS.

Objective To establish the method of identifying MRSA with Taqman-fluorescence quantitative PCR basing on mecA/nuc/fem B three gene combined detecting.Methods Taking the coagulase positive MRSA,which isolated from the clinical samples and confirmed by VITEK 2 compact microbial analyzer,as the research obj ect,designed mecA/nuc/fem B specific PCR primers and Taqman fluorescent probe by bio-software PrimerPremier 5 and Designer Beacon 7,FAM,HEX and ROX markers were used to label the fluorescent probe at 5’,and the end of 3’was labeled with BHQ1,detected by fluo-rescence quantitative PCR instrment.Results ①1 g/dl gel electrophoresis results showed that the primer’s specificity of mec A/nuc/fem B were good,and molecular weight of the amplification band consistent with the expected molecular weight and no non-specific amplification band.②Three genes were obtained specific amplification in a single tube single channel and single tube multiple channel detection in PCR,and the three gene amplification effect in a single tube single tube single chan-nel and multichannel PCR similar.Conclusion Successfully established a method of multi channel Taqman-probe fluores-cence quantitative PCR identification of MRSA,mec A/nuc/fem B combined detection can effectively differentiate coagulase negative and positive MRSA,improve the accuracy of identification.

Objective To investigate the clinical distribution situation and drug resistance change of Klebsiella pneumoniae in the Navy General Hospital during 2011‐2015 in order to provide reference for rational use of antibacterial agents in clinic .Methods The clinically isolated Klebsiella pneumoniae in this hospital during 2011‐2015 were selected and performed the analysis on the de‐tection rate ,department distribution ,specimens source ,resistance of antibacterial drugs and change trend of resistance to carbapen‐em antibacterial drugs .Results The number the detected Klebsiella pneumoniae strains and isolation rate during 2011 -2015 showed an increasing trend year by year ,the specimens sources were mainly from 10 departments of intensive care units(ICU) ,hy‐perbaric oxygen department ,respiratory department ,radiation oncology department ,kidney disease department ,etc .;the submitted specimens were dominated by sputum and urine ,accounting for 59 .7% and 21 .4% of submitted specimens ;the drug resistance of Klebsiella pneumoniae during 2011‐2015 showed the increasing trend year by year .Klebsiella pneumoniae had higher resistance rates to piperacillin ,ampicillin ,ampicillin/sulbactam and cefuroxime and had lower resistance rate to amikacin ,imipenem ,meropen‐em and tobramycin ;the resistance rates to imipenem and meropenem were increased year by year ,and pan‐drug resistant Klebsiella pneumoniae showed a rapidly rising trend .Conclusion The drug resistance of Klebsiella pneumonia is serious ,especially carbapene‐ms‐resistant Klebsiella pneumoniae is significantly increased in the recent years ,therefore its drug resistance monitoring should be strengthened for guiding rational drug use in clinic .