Objective:To explore the degree of change in anteversion angle and related risk factors after intramedullary nail fixation of intertrochanteric femur fracture in the elderly.Methods:The data of 256 elderly patients who underwent intramedullary nail fixation for intertrochanteric fractures of the femur at Tianjin Hospital of Tianjin University from March 2020 to March 2023 were selected, including 114 males and 142 females, with an age of 75.40±10.69 years (range, 65-94 years). The degree of change in the anteversion angle of the affected hip before and after the surgery was measured by CT scan of the hip, the Receiver Operating Characteristic Curve (ROC) was plotted, the area under the ROC curve was analyzed, and the optimal degree of grouping was determined by calculating the Youden Index, then all the patients were divided into two groups. The correlation between various risk factors (age, sex, type of internal fixation, fracture AO type, quality of reduction, fracture medial cortical defect or not, cusp distance) and the change of anterior tilt angle was screened by univariate and multivariate logistic regression analyses.Results:All 256 patients were followed up for 20.7±2.1 months (range, 18-23 months). Anteversion on the healthy side was 12.68°±5.10° (range, 5°-28°); postoperative anteversion on the affected side was 15.04°±7.67° (range, 9°-36°). By comparing the difference in the anterior tilt angle between the affected side and the healthy side, it was found that the anterior tilt angle of 67 patients was completely restored to the healthy side level after the operation. The anteversion angle was enlarged in 131 cases, of which the mildly increased angle (1°-9°) was found in 106 cases, moderately increased (10°-15°) was found in 17 cases, and significantly increased (>15°) was found in 8 cases; 58 patients showed anteversion angle reduction, of which 45 cases were mildly reduced (1°-9°), 13 cases were moderately reduced (10°-14°). The area under the ROC curve for the patient's anteversion angle and its 95% CI were 0.714(0.559, 0.867), and the maximum value of its Youden Index was 0.221, which corresponded to the optimal critical angle of 4°. There was no statistically significant difference in age, gender, reduction quality or fracture AO classification between the group with an anteversion angle>4° and the group with an anteversion angle≤4° ( P>0.05). The types of internal fixation, medial cortical defect and insufficient tip apex distance (TAD) were included in the binary variable logistic regression analysis. The results showed that single-nail internal fixation [ OR=0.412, 95% CI(0.244, 0.695), P=0.007], medial cortical defect [ OR=0.471, 95% CI(0.279, 0.793), P=0.009] and TAD>25 mm [ OR=0.367, 95% CI(0.207, 0.651), P=0.003] are independent risk factors for changes in anteversion angle after intramedullary nail fixation of intertrochanteric femur fractures in elderly. Conclusion:Single-nail internal fixation, medial cortical defect and TAD >25 mm are independent risk factors for the change of anteversion angle after intramedullary nail internal fixation of intertrochanteric fractures in the elderly.

Multi-conjugate vaccine and polyvalent vaccine can reduce the number of vaccinations, improve vaccination efficiency, and provide wider protection against diseases, and can not only brings convenience to recipients but also reduce healthcare costs, making it a key focus in modern vaccine development. However, even if the components of the vaccine are derived from already approved monovalent vaccines, it must still be considered as a new vaccine and undergo randomized controlled clinical trials to evaluate their safety and efficacy in humans. Due to the inclusion of multiple antigens, clinical evaluation must consider the potential interactions between or among the components, as well as the impacts of adjuvants, preservatives, and other ingredients on the vaccines' safety and efficacy. These factors introduce certain specific challenges in the clinical evaluation of multi-conjugate vaccine and polyvalent vaccine. This article summarizes the key elements and methods of clinical study design for multi-conjugate vaccine and polyvalent vaccine in terms of safety, immunogenicity, and protective efficacy, and discuss the problems and challenges exisitng in vaccine clinical evaluation to provide reference for the standardization of clinical study design of multi-conjugate vaccine and polyvalent vaccine.

The impact of vaccines on public health and their effectiveness in controlling infectious diseases partly depends on their coverage rate, which refers to the proportion of individuals vaccinated within a specific population. Vaccination coverage is foundational data for vaccine immunization programs, a key parameter for evaluating and monitoring the implementation of vaccination plans, and an important data point in real-world post-market studies of vaccines. Additionally, research on vaccination coverage is becoming increasingly prevalent in vaccine evaluation, primarily used to establish the risk of disease incidence in populations with different vaccination coverage rates in order to assess the protective effectiveness of vaccines. This paper reviews the research methods used to assess vaccine coverage both domestically and internationally, as well as their applications in evaluating vaccine effectiveness. It also analyzes and compares the advantages and disadvantages of different research methods for measuring vaccination coverage and discusses the significance of monitoring and improving vaccine coverage rates. The goal is to promote research and application of vaccination coverage rates in China, providing a scientific basis for post-market vaccine studies and for local administrative departments to formulate immunization policies.

Objective:To investigate the value of midtreatment 18F-FDG PET/CT metabolic parameters for predicting the pathological response in patients with locally advanced gastric cancer (LAGC) after neoadjuvant immunochemotherapy (NICT). Methods:Twenty-five LAGC patients (19 males, 6 females, age: (64.8±8.6) years) who underwent 18F-FDG PET/CT after NICT in Henan Cancer Hospital from August 2019 to June 2024 were retrospectively analyzed. The lesion′s ROI was delineated, then the SUV max and metabolic tumor volume (MTV) were measured, and the SUV max was divided by SUV mean of the descending aorta to obtain the tumor-to-background ratio (TBR). Patients underwent surgery after PET/CT imaging. Based on the tumor regression grade (TRG) system by the American Joint Committee on Cancer (AJCC) criteria on surgical specimen, patients were divided into responders (TRG0+ 1) and non-responders (TRG2+ 3). Independent-sample t test, Mann-Whitney U test, one-way analysis of variance, and Kruskal-Wallis rank-sum test were used to compare the differences of data. The predictive efficacy of PET/CT metabolic parameters was assessed by the ROC curve analysis. Results:Postsurgical pathology showed that 9 patients were responders and 16 were non-responders. The SUV max (3.10±1.95) and TBR (2.44±1.54) of primary lesions in responders were lower than those in non-responders (7.40±4.68, 5.85±3.74; t values: -2.61, -2.59, both P<0.05), while the MTV of primary tumors and short diameter and metabolic parameters of positive lymph nodes were not significantly different between those 2 groups ( t=-1.50, Z values: -1.09 to -0.75, all P>0.05). No significant relation was found between PET/CT parameters and pathological differentiation or Lauren classification, or other pathological features ( t values: -1.55 to 1.38, Z values: -1.84 to 0, F values: 0.12-2.43, H values: 0.13-0.98, all P>0.05). ROC curve showed that the cut-off value of SUV max for predicting postoperative TRG was 5.40, and the AUC reached 0.77 (95% CI: 0.56-0.91), with the sensitivity and specificity of 9/16, 9/9, respectively. With TBR=3.54 as the cut-off value, its AUC reached 0.77 (95% CI: 0.56-0.91), and the sensitivity and specificity were 11/16, 8/9, respectively. The sensitivity and specificity of PET/CT for predicting lymph node positivity of patients were 8/12 and 13/13, respectively. Conclusion:Interim 18F-FDG PET/CT metabolic parameters can accurately predict the pathological response of LAGC patients after NICT.

Objective To investigate the incidence of intraoperative hypothermia(IH)and rewarming efficacy in elderly patients with different traditional Chinese medicine(TCM)constitutions undergoing general anesthesia.Methods A total of 500 elderly patients undergoing general anesthesia at the First Affiliated Hospital of Guangzhou University of Chinese Medicine from June 2022 to November 2022 were enrolled.The patients were divided into IH group and non-IH group depending on the occurrence of IH.Baseline data of the patients were collected,and univariate and multivariate logistic regression analyses were performed to identify risk factors for IH.A risk prediction model was constructed after value-assignment of influencing factors and its diagnostic efficiency was assessed by receiver operating characteristic(ROC)curve.External validation of the model was conducted in 50 elderly patients undergoing general anesthesia at the same period.From December 2022 to February 2023,80 elderly patients undergoing general anesthesia and complicated with IH were randomized into a control group(routine measures for keeping warm)and an observation group(keeping warm with forced-air-warming blanket)to compare the rewarming efficacy.Results(1)Among 500 elderly patients undergoing general anesthesia,180 cases developed IH,with an incidence of 36.0%.(2)Except for age,sex,type of surgery,American Society of Anesthesiologists(ASA)classification,type of anesthesia,and total fluid output volume,statistically significant differences were presented in body mass index(BMI),TCM constitution type,surgical complexity grading,preoperative core body temperature,operating room temperature,rewarming strategy,surgical duration,anesthesia duration,total fluid intake volume,intraoperative irrigation volume,and intraoperative blood transfusion between the two groups(P＜0.05 or P＜0.01).(3)Multivariate logistic regression analysis identified BMI,TCM constitution type,surgical complexity grading,preoperative core body temperature,operating room temperature,rewarming strategy,anesthesia duration,total fluid intake volume,and intraoperative irrigation volume as independent influencing factors for the occurrence of IH in elderly patients undergoing general anesthesia.ROC curve analysis demonstrated that the area under the curve(AUC)of the constructed risk prediction model was 0.816,with a sensitivity of 74.40%and a specificity of 77.50%.(4)In an external validation cohort of 50 elderly patients undergoing general anesthesia(19 IH cases versus 31 non-IH cases),the constructed risk prediction model exhibited a sensitivity of 73.68%and a specificity of 77.42%.(5)The observation group exhibited lower tympanic temperature upon post-anesthesia care unit(PACU)admission,shorter rewarming time and PACU stay duration,faster rewarming rate,and lower incidence of shivering than the control group,the differences being statistically significant(P＜0.05 or P＜0.01).Conclusion IH is common in elderly patients undergoing general anesthesia,particularly in those under the conditions of low BMI,qi/yang/blood deficiency constitutions,major surgery,low preoperative core body temperature,low operating room temperature,passive rewarming,prolonged anesthesia,high fluid intake volume,and high and intraoperative irrigation volume.The constructed risk prediction model demonstrates favorable diagnostic performance.Proactive use of forced-air-warming blankets effectively improves rewarming outcomes in elderly patients undergoing general anesthesia and complicated with IH.

Cardiotoxicity is a critical issue in drug development that poses serious health risks,including potentially fatal arrhythmias.The human ether-à-go-go related gene(hERG)potassium channel,as one of the pri-mary targets of cardiotoxicity,has garnered widespread attention.Traditional cardiotoxicity testing methods are expensive and time-consuming,making computational virtual screening a suitable alter-native.In this study,we employed machine learning techniques utilizing molecular fingerprints and descriptors to predict the cardiotoxicity of compounds,with the aim of improving prediction accuracy and efficiency.We used four types of molecular fingerprints and descriptors combined with machine learning and deep learning algorithms,including Gaussian naive Bayes(NB),random forest(RF),support vector machine(SVM),K-nearest neighbors(KNN),eXtreme gradient boosting(XGBoost),and Trans-former models,to build predictive models.Our models demonstrated advanced predictive performance.The best machine learning model,XGBoost Morgan,achieved an accuracy(ACC)value of 0.84,and the deep learning model,Transformer_Morgan,achieved the best ACC value of 0.85,showing a high ability to distinguish between toxic and non-toxic compounds.On an external independent validation set,it achieved the best area under the curve(AUC)value of 0.93,surpassing ADMETlab3.0,Cardpred,and CardioDPi.In addition,we explored the integration of molecular descriptors and fingerprints to enhance model performance and found that ensemble methods,such as voting and stacking,provided slight improvements in model stability.Furthermore,the SHapley Additive exPlanations(SHAP)explanations revealed the relationship between benzene rings,fluorine-containing groups,NH groups,oxygen in ether groups,and cardiotoxicity,highlighting the importance of these features.This study not only improved the predictive accuracy of cardiotoxicity models but also promoted a more reliable and scientifically interpretable method for drug safety assessment.Using computational methods,this study facilitates a more efficient drug development process,reduces costs,and improves the safety of new drug candidates,ultimately benefiting medical and public health.

OBJECTIVES: To investigate the correlation of PRELID1 with gastric cancer (GC) progression, prognosis, and epithelial-mesenchymal transition (EMT) and the underlying mechanisms. METHODS: We analyzed the data of 115 patients undergoing radical gastrectomy for GC in our hospital between February, 2018 and March, 2023 to explore the correlation of PRELID1 expression level in GC tissues with tumor progression and patient prognosis. In cultured GC cells, the effects of lentivirus-mediated overexpression or interference of PRELID1 were observed on cell migration, invasion and EMT. RESULTS: Immunohistochemical staining revealed significantly higher PRELID1 expression in GC tissues (P<0.001), whose expression level was positively correlated with CEA ≥5 ng/mL (P=0.007), CA199 ≥37 U/mL (P=0.007), G_3-4 stages (P=0.001), T_3-4 stages (P=0.001), and N_2-3 stages (P=0.020). Univariate and Cox multifactorial analysis showed that high PRELID1 level was an independent risk factor affecting 5-year survival of GC patients (P=0.001). In cultured GC cells, PRELID1 overexpression obviously promoted cell proliferation, migration, invasion, and the expressions of MMP2 and MMP9, and interference of PRELID1 produced the opposite changes. PRELID1 overexpression also increased the expressions of N-cadherin and vimentin and reduced the expression of E-cadherin. Mechanistic analyses showed that up-regulation of PRELID1 increased the expression of p-PI3K, p-AKT, and p-mTOR in GC cells, whereas its interference caused the opposite changes; the application of 740 Y-P, a PI3K/AKT pathway activator, significantly enhanced the migration, invasion, and EMT of GC cells with PRELID1 knockdown. CONCLUSIONS PRELID1 is highly expressed in GC and affects prognosis of the patients, and its high expression promotes migration, invasion and epithelial mesenchymal transition of GC cells possibly by activating the PI3K/AKT/mTOR pathway.
Humans ; Stomach Neoplasms/metabolism* ; Epithelial-Mesenchymal Transition ; Prognosis ; Cell Movement ; Cell Line, Tumor ; Male ; Female ; Middle Aged ; Signal Transduction ; Neoplasm Invasiveness ; Phosphatidylinositol 3-Kinases/metabolism* ; Proto-Oncogene Proteins c-akt/metabolism*

Tongue squamous cell carcinoma (TSCC) is a prevalent malignancy that afflicts the head and neck area and presents a high incidence of metastasis and invasion. Accurate diagnosis and effective treatment are essential for enhancing the quality of life and the survival rates of TSCC patients. The current treatment modalities for TSCC frequently suffer from a lack of specificity and efficacy. Nanoparticles with diagnostic and photothermal therapeutic properties may offer a new approach for the targeted therapy of TSCC. However, inadequate accumulation of photosensitizers at the tumor site diminishes the efficacy of photothermal therapy (PTT). This study modified gold nanodots (AuNDs) with the TSCC-targeting peptide HN-1 to improve the selectivity and therapeutic effects of PTT. The Au-HN-1 nanosystem effectively targeted the TSCC cells and was rapidly delivered to the tumor tissues compared to the AuNDs. The enhanced accumulation of photosensitizing agents at tumor sites achieved significant PTT effects in a mouse model of TSCC. Moreover, owing to its stable long-term fluorescence and high X-ray attenuation coefficient, the Au-HN-1 nanosystem can be used for fluorescence and computed tomography imaging of TSCC, rendering it useful for early tumor detection and accurate delineation of surgical margins. In conclusion, Au-HN-1 represents a promising nanomedicine for imaging-based diagnosis and targeted PTT of TSCC.
Tongue Neoplasms/diagnostic imaging* ; Carcinoma, Squamous Cell/diagnostic imaging* ; Animals ; Gold/chemistry* ; Mice ; Photothermal Therapy/methods* ; Tomography, X-Ray Computed ; Photosensitizing Agents ; Metal Nanoparticles ; Humans ; Cell Line, Tumor

Cardiotoxicity is a critical issue in drug development that poses serious health risks, including potentially fatal arrhythmias. The human ether-à-go-go related gene (hERG) potassium channel, as one of the primary targets of cardiotoxicity, has garnered widespread attention. Traditional cardiotoxicity testing methods are expensive and time-consuming, making computational virtual screening a suitable alternative. In this study, we employed machine learning techniques utilizing molecular fingerprints and descriptors to predict the cardiotoxicity of compounds, with the aim of improving prediction accuracy and efficiency. We used four types of molecular fingerprints and descriptors combined with machine learning and deep learning algorithms, including Gaussian naive Bayes (NB), random forest (RF), support vector machine (SVM), K-nearest neighbors (KNN), eXtreme gradient boosting (XGBoost), and Transformer models, to build predictive models. Our models demonstrated advanced predictive performance. The best machine learning model, XGBoost Morgan, achieved an accuracy (ACC) value of 0.84, and the deep learning model, Transformer_Morgan, achieved the best ACC value of 0.85, showing a high ability to distinguish between toxic and non-toxic compounds. On an external independent validation set, it achieved the best area under the curve (AUC) value of 0.93, surpassing ADMETlab3.0, Cardpred, and CardioDPi. In addition, we explored the integration of molecular descriptors and fingerprints to enhance model performance and found that ensemble methods, such as voting and stacking, provided slight improvements in model stability. Furthermore, the SHapley Additive exPlanations (SHAP) explanations revealed the relationship between benzene rings, fluorine-containing groups, NH groups, oxygen in ether groups, and cardiotoxicity, highlighting the importance of these features. This study not only improved the predictive accuracy of cardiotoxicity models but also promoted a more reliable and scientifically interpretable method for drug safety assessment. Using computational methods, this study facilitates a more efficient drug development process, reduces costs, and improves the safety of new drug candidates, ultimately benefiting medical and public health.

Objective:To apply multifunctional debridement machine in burn wounds and complicated skin ulcers of wound surgery on the basis of its convenience in application,and analyze its application value.Methods:The multi-functional debridement machine realized the design of hardware system,the design of intelligent handle,the design of frequency tracking system and other integration design,so as to deal with wound quickly and accurately.A total of 156 patients with burn wounds and complicated skin ulcers who admitted to West Branch of Qingdao Municipal Hospital from January 2022 to January 2024 were selected,and they were divided into control group(78 cases)and observation group(78 cases)by random number method.Patients in the control group were treated by using the mode with bedhead and bedside debridement and dressing change every other day,while patients in the observation group were treated by multi-functional debridement machine.The effect was analyzed after treatment.Results:The healing rate of the observation group was 93.59%,which was significantly higher than that of the control group(73.08%)(x2=11.815,P＜0.05),and the healing time of the observation group was significantly shorter than that of the control group,and the difference was statistically significant(t=10.701,P＜0.05).The scores of wound depth,range of wound injury and degree of tissue necrosis in the observation group were lower than those in the control group,and the score of growth speed of granulation tissue was significantly higher than that in the control group,and the differences were statistical significance(t=5.617,7.993,4.781,5.133,P＜0.05).The pain scores on 1st day,7th day and 14th day after dressing change in the observation group were all lower than those in the control group,and the differences were statistical significance(t=19.898,11.801,10.191,P＜0.05).The sterilization rates of wound on the 3rd day,7th day and 10th day after treatment in the observation group were all higher than these in the control group,and the differences were statistical significance(t=15.168,13.476,6.785,P＜0.05).Conclusion:The hardware system of multifunctional debridement machine has large output power,high efficiency and obvious debridement effect.It has significant advantages in the treatment of burn wounds and complicated skin ulcers of wound surgery,which can relieve the degree of wound pain,and improve the cleaning effect and promote rapid recovery of wound.