BACKGROUND:The most common complication of traumatic femoral neck fractures after internal fixation is femoral head necrosis.Currently,many studies have reported on the risk factors that affect the occurrence and development of postoperative femoral head necrosis,but there is still a lack of tools to predict the risk of femoral head necrosis after internal fixation of femoral neck fractures.OBJECTIVE:To develop a predictive model that estimates the risk of femoral head necrosis shortly after patients with femoral neck fractures receive cannulated screw internal fixation.METHODS:A retrospective analysis reviewed clinical records of 172 patients who underwent cannulated screw internal fixation for femoral neck fractures at Department of Orthopedics of Mianyang Central Hospital from January 2013 to June 2023.Patients were categorized into two groups based on the presence or absence of femoral head necrosis within one year post-operation:the necrosis group and the non-necrosis group.Univariate analysis,Lasso regression,and multivariate Logistic regression techniques were employed to identify the determinants of femoral head necrosis.A nomogram prediction model was constructed using R language's"rms"package,version 4.0.The receiver operating characteristic curve was used to evaluate the discriminatory ability of the model.The Hosmer-Lemeshow test was used to evaluate the goodness of fit of the model,and the decision curve analysis was used to determine its clinical application benefits.Internal validation of the study was conducted using the Bootstrap method,involving 1 000 repeated samplings.To delve deeper into the primary factors influencing femoral head necrosis post-internal fixation of the femoral neck,this paper employed the SHAP method for data set analysis.RESULTS AND CONCLUSION:(1)The risk factors leading to femoral head necrosis in the short term after cannulated screw fixation of femoral neck fractures include:smoking,diabetes,Garden classification,fracture line location,reduction quality,age,and operation time.(2)The prediction model demonstrated robust performance,evidenced by an area under the curve of 0.940(95％Confidence Interval:0.903 to 0.977),indicating a high level of prediction accuracy.The model achieved a sensitivity of 90.2％and a specificity of 87.6％,indicating that its diagnostic performance was stable.The Hosmer-Lemeshow goodness-of-fit test yielded a chi-square value of 6.593 with a P-value of 0.581,confirming that the model's predictions closely align with the observed outcomes.(3)The calibration curve of the model also performed well,and its overall trend was very close to the ideal curve,further proving the high accuracy of the model.(4)The internal validation was carried out by the Bootstrap method with 1 000 repeated samplings,and the area under the curve of the model internal validation was still as high as 0.939,proving that the model had good stability.(5)Through the decision curve,it is found that within the probability threshold range of 1％to 92％,the model can obtain the maximum net benefit value.(6)The SHAP analysis results show that among the risk factors analyzed in this study,the location of the fracture line serves as the most significant predictor of femoral head necrosis following internal fixation with cannulated screws in femoral neck fractures,and subcapital fractures are extremely prone to femoral head necrosis after surgery.(7)It is concluded that the validated prediction model demonstrates strong discriminative power and reliability,offering practical clinical utility.It serves as a useful reference tool for short-term risk assessment of femoral head necrosis following internal fixation of femoral neck fractures.

Esophageal cancer is a prevalent malignant tumor of the digestive tract in China, and radical surgery remains the cornerstone of its comprehensive treatment. However, multifactorial challenges such as postoperative gastrointestinal tract reconstruction, traumatic stress, and tumor-related metabolic disturbances render esophageal cancer patients highly susceptible to malnutrition. Perioperative nutritional support therapy plays a crucial role in enhancing surgical safety, improving clinical outcomes, and elevating patients' quality of life by regulating metabolic homeostasis, preserving organ function, and optimizing the immune microenvironment. This article reviews the mechanisms underlying malnutrition in esophageal cancer, methods for nutritional status assessment, and precision intervention pathways based on multi-omics evaluations. The aim is to strengthen clinicians' awareness of standardized perioperative nutritional management for esophageal cancer patients and promote its clinical implementation, thereby facilitating postoperative recovery and improving long-term quality of life.

BACKGROUND:The most common complication of traumatic femoral neck fractures after internal fixation is femoral head necrosis.Currently,many studies have reported on the risk factors that affect the occurrence and development of postoperative femoral head necrosis,but there is still a lack of tools to predict the risk of femoral head necrosis after internal fixation of femoral neck fractures.OBJECTIVE:To develop a predictive model that estimates the risk of femoral head necrosis shortly after patients with femoral neck fractures receive cannulated screw internal fixation.METHODS:A retrospective analysis reviewed clinical records of 172 patients who underwent cannulated screw internal fixation for femoral neck fractures at Department of Orthopedics of Mianyang Central Hospital from January 2013 to June 2023.Patients were categorized into two groups based on the presence or absence of femoral head necrosis within one year post-operation:the necrosis group and the non-necrosis group.Univariate analysis,Lasso regression,and multivariate Logistic regression techniques were employed to identify the determinants of femoral head necrosis.A nomogram prediction model was constructed using R language's"rms"package,version 4.0.The receiver operating characteristic curve was used to evaluate the discriminatory ability of the model.The Hosmer-Lemeshow test was used to evaluate the goodness of fit of the model,and the decision curve analysis was used to determine its clinical application benefits.Internal validation of the study was conducted using the Bootstrap method,involving 1 000 repeated samplings.To delve deeper into the primary factors influencing femoral head necrosis post-internal fixation of the femoral neck,this paper employed the SHAP method for data set analysis.RESULTS AND CONCLUSION:(1)The risk factors leading to femoral head necrosis in the short term after cannulated screw fixation of femoral neck fractures include:smoking,diabetes,Garden classification,fracture line location,reduction quality,age,and operation time.(2)The prediction model demonstrated robust performance,evidenced by an area under the curve of 0.940(95％Confidence Interval:0.903 to 0.977),indicating a high level of prediction accuracy.The model achieved a sensitivity of 90.2％and a specificity of 87.6％,indicating that its diagnostic performance was stable.The Hosmer-Lemeshow goodness-of-fit test yielded a chi-square value of 6.593 with a P-value of 0.581,confirming that the model's predictions closely align with the observed outcomes.(3)The calibration curve of the model also performed well,and its overall trend was very close to the ideal curve,further proving the high accuracy of the model.(4)The internal validation was carried out by the Bootstrap method with 1 000 repeated samplings,and the area under the curve of the model internal validation was still as high as 0.939,proving that the model had good stability.(5)Through the decision curve,it is found that within the probability threshold range of 1％to 92％,the model can obtain the maximum net benefit value.(6)The SHAP analysis results show that among the risk factors analyzed in this study,the location of the fracture line serves as the most significant predictor of femoral head necrosis following internal fixation with cannulated screws in femoral neck fractures,and subcapital fractures are extremely prone to femoral head necrosis after surgery.(7)It is concluded that the validated prediction model demonstrates strong discriminative power and reliability,offering practical clinical utility.It serves as a useful reference tool for short-term risk assessment of femoral head necrosis following internal fixation of femoral neck fractures.

OBJECTIVE To compare the efficacy and prognosis between dapagliflozin and empagliflozin in elderly patients with heart failure （HF） complicated by cardiac pacemaker implantation.METHODS The clinical data of 237 elderly patients with HF complicated by cardiac pacemaker implantation， who were admitted to the Department of Cardiovascular Medicine at the First Affiliated Hospital of Nanyang Medical College from July 1， 2023， to January 1， 2025， were retrospectively collected. According to medication use， the patients were divided into the control group （conventional therapy， n ＝90）， dapagliflozin group （conventional therapy plus dapagliflozin， n ＝77）， and empagliflozin group （conventional therapy plus empagliflozin， n ＝70）. Cardiac function and HF-related indicators were evaluated before treatment and after 6 months of treatment among the 3 groups. The incidence of major adverse cardiovascular events （MACE）， HF rehospitalization rate， and the occurance of adverse reaction were compared among the 3 groups.RESULTS After 6 months of treatment， compared with the same group before treatment， left ventricular ejection fraction was significantly increased， 6-minute walk distance was significantly prolonged， left ventricular end-diastolic diameter and left ventricular end-systolic diameter were significantly shortened， and N-terminal pro-B-type natriuretic peptide and high-sensitivity C-reactive protein levels were significantly decreased in all 3 groups （ P ＜0.05）. The improvements in most of the above indicators were greater in the dapagliflozin and empagliflozin groups than in the control group （ P ＜0.05）， and were all greater in the empagliflozin group than in the dapagliflozin group （ P ＜0.05）. The HF rehospitalization rate was significantly lower in both dapagliflozin and empagliflozin groups than in the control group （ P ＜0.05）， and was significantly lower in the empagliflozin group than in the dapagliflozin group （ P ＜0.05）. There was no statistically significant difference in the incidence of MACE among the 3 groups （ P ＞0.05）， although the incidence was numerically lower in the dapagliflozin and empagliflozin groups than in the control group. There was also no statistically significant difference in the incidence of adverse reactions among the 3 groups （ P ＞0.05）.CONCLUSIONS Both dapagliflozin and empagliflozin can improve cardiac function and HF-related indicators and reduce the risk of HF rehospitalization in elderly patients with HF complicated by cardiac pacemaker implantation on the basis of conventional therapy， without increasing the risk of adverse reactions. Compared with dapagliflozin， empagliflozin shows more pronounced effects.

Microplastics are widely present in various environments such as water bodies,land,and atmosphere,which pose threats to the ecological environment and human health through transmission and accumulation in the food chain.The existing detection techniques for microplastics face challenges such as complex preparation procedure of samples,low efficiency in processing large batches of samples,and difficulties in handling complex samples.Therefore,there is an urgent need for rapid and efficient detection techniques suitable for complex microplastics samples in the field of environmental monitoring.Raman spectroscopy,known for its advantages such as rapidity,accuracy,high sensitivity,non-destructiveness,and non-contact,demonstrates great application potential in detection of microplastics.Deep learning,an artificial intelligence method known for its large-scale data processing,nonlinear modeling and automatic feature extraction capabilities,is receiving increasing attention in the analysis of Raman spectroscopy signals.The application of deep learning-based Raman spectroscopy has significantly improved performance indicators such as detection efficiency and accuracy.This article introduced the existing Raman enhancement techniques,summarized the deep learning methods applied in Raman spectroscopy signal analysis,reviewed the recent research and application progress of deep learning-based Raman spectroscopy in detection of microplastics,and finally discussed the challenges and future prospects of deep learning-based Raman spectroscopy in detection of microplastics.

Ketamine is a dissociative anesthetic.It is clinically used as a surgical anesthetic or anes-thetic inducer and has a certain degree of mental dependence.Its abuse can lead to nerve damage,ad-verse emotional reactions and other toxic side effects.The primary mechanism by which ketamine exerts its pharmacological effects is to block N-methyl-D-aspartate receptors(NMDAR).It also functions through pathways such as α-amino-3-hydroxy-5-methyl-4-isox-azolepropionic acid receptors(AMPAR),opioid receptors,γ-aminobutyric acid(GABA)receptors,monoaminergic receptors,cholinergic recep-tors,hyperpolarization-activated cyclic nucleotide-gated(HCN)channels,voltage-gated sodium channels,and L-type voltage-dependent calcium channels(VDCC).This article summarizes the molecular mecha-nism and toxic effects of ketamine's pharmacological functions,in order to provide a basis for foren-sic applications such as the identification of symptomatic phenotypes of ketamine toxic effects and the identification of ketamine abuse.

Objective To investigate the serum interleukin-17A(IL-17A)and chemokine CXC motif ligand 13(CXCL13)levels in children with cough variant asthma and their clinical significance.Methods A total of 108 children with cough variant asthma admitted to Meihe Maternity Hospital from November 2021 to Febru-ary 2023 were selected as the study group,and 86 healthy children who underwent physical examinations dur-ing the same period were selected as the control group.The levels of serum IL-17A and CXCL13 in the two groups were detected by enzyme-linked immunosorbent assay.Multivariate Logistic regression was used to an-alyze the factors influencing the occurrence of cough variant asthma.Receiver operating characteristic(ROC)curve was plotted to analyze the diagnostic value of serum IL-17A and CXCL13 expressions for cough variant asthma.Results The levels of serum IL-17A and CXCL13 in the study group were both higher than those in the control group(P＜0.05).The levels of serum IL-17A and CXCL13 in children with cough variant asthma were negatively correlated with forced vital capacity(FVC),forced expiratory volume in one second(FEV1),maximal expiratory flow rate(PEF),and FEV1/FVC and basal respiratory conductivity(Grs cont),while positively correlated with initial resistance value(Rrs cont).Multivariate Logistic regression analysis indicated that FVC,FEV1,PEF,FEV1/FVC,and Grs cont were protective factors influencing the occurrence of cough variant asthma(P＜0.05).However,Rrs cont,IL-17A and CXCL13 were risk factors affecting the occurrence of cough variant asthma(P＜0.05).The area under the curve(AUC)of serum IL-17A and CXCL13 levels for diagnosing cough variant asthma were 0.920 and 0.867,respectively.The AUC of the combined diagnosis of the two was 0.937,which was significantly greater than that of the diagnosis of CXCL1 alone(Z=2.194,P=0.028).Conclusion The levels of serum IL-17A and CXCL13 in children with cough variant asthma are upreg-ulated,and both are related to the lung function and airway responsiveness of children with cough variant asthma.The combined detection of serum IL-17A and CXCL13 levels has a high diagnostic value for cough variant asthma.

Objective:To investigate the effects and mechanism of Jianpi Yangzheng Xiaozheng Prescription in lung pre-metastatic niche formation of gastric cancer by regulating the content of programmed death receptor ligand 1 (PD-L1) in gastric cancer exosomes.Methods:Totally 30 615 mice were divided into normal group, model group, Jianpi Yangzheng Xiaozheng Prescription low- and high-dosage groups, and exosome inhibitor group according to random number table method, with 6 mice in each group. The mouse model of lung pre-metastatic niche formation of gastric cancer was established by tail vein injection of MFC cells. After 12 days of administration, the lung metastasis under the intervention of Jianpi Yangzheng Xiaozheng Prescription was evaluated by observing the infiltration of tumor into lung tissue, weighing lung weight and hematoxylin-eosin (HE) staining of lung tissue. Mouse serum exosomes were extracted by ExoQuick kit and identified by transmission electron microscopy and nanoparticle tracking analysis (NTA). The content of PD-L1 in serum exosomes and the expression levels of serum transforming growth factor-β (TGF-β), interleukin-10 (IL-10) and interleukin-6 (IL-6) were detected by enzyme-linked immunosorbent assay (ELISA). Immunofluorescence was used to detect the phenotype of myeloid-derived suppressor cells (MDSC) and tumor-associated macrophages (TAM) and the expression of PD-L1 in MDSC and TAM.Results:Compared with the model group, after the intervention of Jianpi Yangzheng Xiaozheng Prescription, the lung metastases of mice were reduced ( P<0.05), and the weight of metastatic tumors decreased ( P<0.05). PD-L1 in serum exosomes and the proportion of MDSC and M2 TAM in lung tissue microenvironment decreased, as well as the expression of PD-L1 on MDSC and TAM decreased ( P<0.05). The serum levels of IL-10 and IL-6 significantly decreased ( P<0.05). Conclusion:Jianpi Yangzheng Xiaozheng Prescription can reduce the proportion of MDSC and M2 TAM and the expression level of PD-L1 in the microenvironment of lung tissue before metastasis by inhibiting the transmission of gastric cancer exosome PD-L1 to MDSC and TAM, and reduce the contents of inflammatory factorsIL-10 and IL-6, so as to play a role in improving the microenvironment before lung metastasis of gastric cancer.

The reform of payment based on disease diagnosis related grouping (DRG) is an important measure to deepen the medical security system. Its implementation will have a profound impact on the operation and management of public TCM hospitals from four aspects: medical service efficiency, cost, quality, and medical resource allocation. At the same time, there are also difficulties in reform, such as the contradiction between personalized diagnosis and treatment in TCM and standardized payment in DRG 2.0, compatibility issues between TCM medical record data and DRG 2.0 grouping system, limitations of special case negotiation mechanism, and difficulty in cost control and accounting. In response, this study formulated targeted strategies and recommendations intended to facilitate the effective implementation of the DRG 2.0 payment system, and bolster the operational and administrative efficacy of public TCM hospitals, culminating in a favorable scenario of tripartite synergy among "healthcare providers, insurers, and patients".

Objective:To observe the safety and short-term efficacy of using an autologous fascia lata sling (AFLS) for tension-free mid-urethral sling (MUS) in the treatment of stress urinary incontinence (SUI).Methods:Between February 2022 and December 2023, 11 patients with SUI underwent AFLS-MUS. Preoperative data were recorded, including basic patient information and completion of urinary distress inventory 6 (UDI-6). During surgery, AFLS was harvested through a small incision using a tendon extractor, and used as a sling for transobturator or retropubic MUS. Perioperative indicators were recorded, including surgical approach, operation time, intraoperative blood loss, postoperative hospital stay, duration of catheterization, perioperative complications (Clavien-Dindo classification), and surgical costs. Follow-ups included outpatient physical examination at 2 months postoperatively, and telephone follow-up at 6 months, 1 year, and annually thereafter. Follow-up content included the presence or absence of urinary leakage symptoms, UDI-6, satisfaction, patient global impression of improvement (PGI-I), and complications.Results:The age of the 11 patients was (54.8±10.9) years (range: 41-72 years), with body mass index of (23.9±1.8) kg/m2 (range: 21.4-27.3 kg/m2). All patients experienced urinary leakage after coughing, sneezing and physical activity, with positive SUI provocation tests. The preoperative UDI-6 was 50.0±21.6 (range: 16.7-79.2), the result of 1-hour pad test was (18.9±12.0) g (range: 2.5-71.2 g). Four cases underwent MUS only, with operation time of (98.0±13.3) minutes (range: 86-117 minutes), and intraoperative blood loss of (17.5±5.0) ml (range: 10-20 ml); 7 cases also underwent pelvic floor repair simultaneously. The postoperative hospital stay was (3.5±2.0) days (range: 2-9 days). The duration of catheterization was (4.5±3.8) days (range: 2-11 days), with postoperative urinary retention in three cases, one of which underwent sling release surgery due to severe postoperative voiding difficulty 1 week after MUS, with no other complications of Clavien-Dindo grade 2 or above. The cost of AFLS harvest plus MUS was (2 762±293) yuan. At the 2-month outpatient follow-up, all patients were free of urinary leakage symptoms, with UDI-6 of 2.3±1.9 (range: 0-8.3); satisfaction was "very satisfied" in 10 cases and "fairly satisfied" in 1 case, with PGI-I all being "much better", and pelvic examinations were normal. Telephone follow-up showed one case lost to follow-up, and the remaining 10 cases had follow-up time of (18.6±4.9) months (range: 7-26 months), all without urinary leakage, with UDI-6 of 2.7±2.6, satisfaction rated as "very satisfied", and PGI-I all "much better".Conclusion:This modified AFLS-MUS for the treatment of SUI shows good short-term efficacy and high safety in harvest site, with the need for more data accumulation and long-term follow-up.