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.

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 explore the value of multi-parameter MRI in predicting the Ki-67 expression level in nasopharyngeal carcinoma(NPC).Methods The clinical and MRI data of 63 patients with pathologically confirmed NPC were prospectively collected.All patients underwent routine plain and enhanced nasopharyngeal MRI,diffusion weighted imaging(DWI),and arterial spin labeling(ASL)scans before treatment.Multivariate logistic regression analysis was used to identify the independent risk factors for the Ki-67 expression level.Results The degree of enhancement,the maximum blood flow(BFmax),and the minimum apparent diffusion coefficient(ADCmin)were independent risk factors for the Ki-67 expression level in NPC patients.The area under the curve(AUC)of the prediction model established based on these three factors was 0.920,with a sensitivity of 0.792 and a specificity of 0.897,respectively.Conclusion Multi-parameter MRI based on conventional enhancement,ASL,and DWI can effectively predict the Ki-67 expression level in NPC patients.

Objective To explore the predictive value of the nomogram model based on multimodal MRI signs for adverse pregnancy outcomes in placenta accreta spectrum disorders(PAS).Methods The clinical and MRI data of 60 patients with PAS diagnosed by surgery and/or pathology were collected.Multivariate logistic regression was used to analyze the independent risk factors of adverse pregnancy outcomes in PAS.According to the results of multivariate logistic regression analysis,the nomogram prediction model of adverse pregnancy outcomes in PAS was constructed.Results Placenta/uterine protrusion[odds ratio(OR)=6.717,P=0.015],abnormal blood vessels in the placenta(OR=7.929,P=0.009),and diffusion weighted imaging(DWI)placental spike/nodular protrusion into the muscular layer(OR=12.134,P=0.003)were independent risk factors for adverse pregnancy outcomes in PAS.Based on the results,a nomogram prediction model was constructed.The area under the curve(AUC)of the model for predicting adverse pregnancy outcomes of PAS was 0.907,with a sensitivity of 0.906 and a specificity of 0.821.Conclusion The nomogram model constructed based on multimodal MRI signs has certain value in predicting adverse pregnancy outcomes of PAS.

Objective:To explore the causal relationships between human inflammatory proteins and keloids.Methods:This study was based on Mendelian randomization (MR) analysis. Human inflammatory proteins were considered as the exposure factors, and keloid was considered as the outcome. Data on 91 inflammatory proteins (14 824 samples) and keloids (668 samples) were obtained from the genome-wide association study database. A significance threshold was established to discern single nucleotide polymorphisms (SNPs) significantly associated with inflammatory proteins as instrumental variables with the influence of weak instrumental variables being excluded. For the analysis of a single instrumental variable, the Wald ratio method was used; for the analysis of multiple instrumental variables, the inverse variance weighted (IVW) method was used as the primary method, with the weighted median method, simple mode method, weighted mode method, and MR-Egger method as supplementary methods to employ two-sample MR analysis to analyze the causal relationships between inflammatory proteins and keloids. Using the IVW method, weighted median method, and MR-Egger method to employ multi-sample MR (MVMR) analysis to evaluate the statistically significant inflammatory proteins in the above-mentioned two-sample MR analysis, thus validating their independent causal relationships with keloids. For SNPs of inflammatory proteins conformed to the hypothesis, the Cochran Q test was used to assess heterogeneity, the MR-Egger regression test and MR-PRESSO outlier test were used to evaluate horizontal pleiotropy, and the leave-one-out analysis was performed to assess reliability.Results:Seventy-five inflammatory proteins met the exposure factor criteria, with the number of SNPs reaching a significance threshold ranging from 1 to 7 082 (with F values all >10), indicating minimal potential for weak instrumental variable bias in this study. The IVW method analysis revealed significant causal relationships between eukaryotic translation initiation factor 4E-binding protein 1 (4E-BP1), CD5, and osteoprotegerin and keloids (with odds ratios of 0.50, 0.61, and 0.71, respectively, 95% confidence intervals of 0.32-0.77, 0.41-0.89, and 0.52-0.97, respectively, P<0.05); the weighted median method confirmed a significant causal relationship between CD5 and keloids (with odds ratio of 0.61, 95% confidence interval of 0.38-0.97, P<0.05); the simple mode method, weighted mode method, and MR-Egger method confirmed no significant causal relationships between CD5 and osteoprotegerin and keloids ( P>0.05). The Wald ratio method analysis revealed a significant causal relationship between programmed death-ligand 1 (PD-L1) and keloids (with odds ratio of 1.83, 95% confidence interval of 1.06-3.15, P<0.05). Thus IVW method results were considered as the standard. The IVW method analysis confirmed that 4E-BP1, CD5, osteoprotegerin, and PD-L1 maintained significant causal relationships with keloids (with odds ratios of 0.43, 0.58, 0.70, and 1.95, respectively, 95% confidence intervals of 0.28-0.67, 0.39-0.86, 0.51-0.95, and 1.16-3.27, respectively, P<0.05). The MR-Egger method confirmed significant causal relationships between 4E-BP1 and CD5 and keloids (with odds ratios of 0.41 and 0.58, respectively, 95% confidence intervals of 0.22-0.77 and 0.39-0.88, respectively, P<0.05). The weighted median method confirmed significant causal relationships between 4E-BP1 and PD-L1 and keloids (with odds ratios of 0.46 and 2.06, respectively, 95% confidence intervals of 0.26-0.82 and 1.11-3.81, respectively, P<0.05). The Cochran Q test assessment indicated no significant heterogeneity in the SNPs of CD5 and osteoprotegerin that had significant causal relationships with keloids ( P>0.05). The MR-Egger regression test and MR-PRESSO outlier test showed no significant horizontal pleiotropy in the SNPs of CD5 and osteoprotegerin that had significant causal relationships with keloids ( P>0.05). The leave-one-out analysis confirmed that the significant causal relationships between CD5 and osteoprotegerin and keloids remained stable after sequentially removing individual SNP. Conclusions:Two-sample MR analysis and MVMR analysis confirmed significant causal relationships between 4E-BP1, CD5, and osteoprotegerin and keloids, all of which are protective factors for keloids.

Objective To explore the predictive value of the nomogram model based on multimodal MRI signs for adverse pregnancy outcomes in placenta accreta spectrum disorders(PAS).Methods The clinical and MRI data of 60 patients with PAS diagnosed by surgery and/or pathology were collected.Multivariate logistic regression was used to analyze the independent risk factors of adverse pregnancy outcomes in PAS.According to the results of multivariate logistic regression analysis,the nomogram prediction model of adverse pregnancy outcomes in PAS was constructed.Results Placenta/uterine protrusion[odds ratio(OR)=6.717,P=0.015],abnormal blood vessels in the placenta(OR=7.929,P=0.009),and diffusion weighted imaging(DWI)placental spike/nodular protrusion into the muscular layer(OR=12.134,P=0.003)were independent risk factors for adverse pregnancy outcomes in PAS.Based on the results,a nomogram prediction model was constructed.The area under the curve(AUC)of the model for predicting adverse pregnancy outcomes of PAS was 0.907,with a sensitivity of 0.906 and a specificity of 0.821.Conclusion The nomogram model constructed based on multimodal MRI signs has certain value in predicting adverse pregnancy outcomes of PAS.

Objective:To understand the genetic characteristics of varicella-zoster virus（VZV）prevalent in Qinghai province，China since 2020.Methods:A total of 54 pharyngeal swab specimens were collected from sporadic suspected varicella cases in Qinghai province in 2020，2023，and 2024. Real-time fluorescence quantitative polymerase chain reaction was used for etiological screening of the specimens. Sequencing of three genes，namely ORF22，ORF38，and ORF62，and single-nucleotide polymorphism（SNP）analysis were performed on VZV nucleic acid-positive specimens.Results:All 54 suspected varicella cases were diagnosed with VZV infection，and three gene sequences were successfully obtained from 53 specimens. The results of genotype identification showed that all VZV infection case specimens obtained in this study in Qinghai province were wild strains. Among them，4 specimens in 2020 were of clade 2 type；among 14 specimens in 2023，7 were of clade 2 type and the remaining 7 were of clade 5 type；among 35 specimens in 2024，27 were of clade5 type，5 were of clade 2 type，and 3 were of clade 4 type. The SNP results showed that in 2023 and 2024，one specimen each had an A→G base mutation at position 37 990，and in 2024，3 specimens had a T→C base mutation at position 37946. Among them，the sequences containing the former mutation have been prevalent and spread in multiple regions of China，and the latter has not been reported in other regions of China.Conclusion:From 2020 to 2024 in Qinghai province，at least three genotypes of VZV，namely clade 2 type，clade 5 type，and clade 4 type，co-prevailed，and the clade 5 genotype of VZV may become the dominant prevalent strain.

Ten novel xanthones, garpedunxanthones A-G (1-5, 6a/6b, 7a/7b) and nujiangxanthone Q (8), along with sixteen known analogs (9-24), were isolated from Garcinia pedunculata and G. nujiangensis. Their structures were elucidated through high-resolution electrospray ionization mass spectrometry (HR-ESI-MS) data, comprehensive nuclear magnetic resonance (NMR) spectroscopic analyses, and electronic circular dichroism (ECD) calculations. All compounds without cytotoxicity were assessed for anti-inflammatory properties by measuring the inhibition of nitric oxide (NO) production in lipopolysaccharide (LPS)-induced RAW264.7 cells. Structure-activity relationships are also discussed. Compounds 7b, 19, and 21 exhibited significant anti-inflammatory activity with IC₅₀ values of 16.44 ± 0.69, 14.28 ± 0.78, and 10.67 ± 3.28 μmol·L^-1, respectively. Enzyme-linked immunosorbent assay (ELISA) demonstrated that compounds 7b, 19, and 21 inhibited the expression of pro-inflammatory cytokines TNF-α and IL-6 in a dose-dependent manner. The inhibitory effect of compound 21 on IL-6 at 20 μmol·L^-1 was comparable to that of the positive control. In network pharmacology studies, potential targets of compounds and inflammation were identified from PharmMapper and GeneCards databases. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis revealed that the overlapped targets were intricately associated with major pathogenic processes linked to inflammation, including positive regulation of mitogen-activated protein kinase (MAPK) cascade, protein kinase activity, NO synthase regulator activity, MAPK signaling pathway, and EGFR tyrosine kinase inhibitor resistance.
Xanthones/therapeutic use* ; Garcinia ; Anti-Inflammatory Agents/therapeutic use* ; Plant Preparations/therapeutic use* ; Structure-Activity Relationship ; Nitric Oxide/metabolism* ; RAW 264.7 Cells ; Animals ; Mice ; Enzyme-Linked Immunosorbent Assay ; Mitogen-Activated Protein Kinase Kinases/metabolism* ; Circular Dichroism

Objective To explore the regulatory mechanism of NFE2L2/KEAP1 in alveolar bone repair induced by periodontitis.Methods A rat periodontitis model was established and divided into four groups:Control group(n=6);Periodontitis model group(n=6);Periodontitis+lentivirus empty vector group(n=6);Periodontitis+NFE2L2 overexpression plasmid group(n=6).Histopathological changes in each group were observed using HE staining.TRAP staining was used to detect osteoclast positivity,while ELISA was employed to measure inflammatory cytokine levels in tissues.Immunofluorescence and qPCR were used to detect NFE2L2 expression,and western blot was used to assess the expression of osteogenic proteins ALPL2,RUNX2,and COL1.Primary periodontal ligament cells(hPDLCs)were cultured,and cells were transfected to overexpress NFE2L2 and KEAP1.The cells were divided into six groups:Normal group;Model group;pcDNA-NC group;pcDNA-NFE2L2 group;pc-NFE2L2+pcDNA-NC group;pc-NFE2L2+pcDNA-KEAP1 group.A cellular model was established,and the morphology of primary hPDLCs was observed under a microscope.Cell proliferation was assessed using CCK-8.Osteogenic mineralization was observed using alizarin red staining,and western blot was used to detect osteogenic proteins and autophagy markers.Cell migration was observed using a scratch assay.Results(1)After model induction,redness,swelling of the gums,extensive inflammatory infiltration,and alveolar bone resorption were observed,confirming successful model establishment.Partial tissue recovery occurred after NFE2L2 overexpression via lentivirus.(2)After model induction,osteoclast positivity increased,confirming successful model establishment.Overexpression of NFE2L2 reduced osteoclast positivity(P<0.001).(3)After model induction,levels of IL-1β,IL-10,and TNF-α were significantly higher than in the normal group(P<0.05),confirming successful model establishment.Transfection with NFE2L2 lentivirus reduced inflammatory cytokine levels(P<0.0001).After model induction,osteogenic protein expression decreased compared to the normal group,but overexpression of NFE2L2 increased osteogenic protein expression(P<0.05).(5)LPS treatment significantly reduced cell viability,while NFE2L2 overexpression enhanced it(P<0.0001).(6)LPS treatment reduced calcified nodules,while NFE2L2 overexpression increased them.Addition of pcDNA-KEAP1 reduced mineralized nodules.(7)LPS treatment decreased osteogenic protein expression,while NFE2L2 overexpression increased it.However,addition of pcDNA-KEAP1 reduced osteogenic protein expression(P<0.05).(8)LPS treatment reduced cell migration,whereas NFE2L2 overexpression enhanced it(P<0.0001).(9)Expression of autophagy markers decreased after LPS treatment,but increased after transfection with NFE2L2 plasmid.However,addition of pcDNA-KEAP1 reduced the expression of autophagy markers(P<0.05).Conclusion This study identified the regulatory role of NFE2L2/KEAP1 in periodontitis,providing a scientific basis for the treatment of periodontitis.

Objective:To explore the feasibility and preliminary efficacy of domestic single-port robotic surgical system in the surgical treatment of thyroid cancer. Methods:Thyroid cancer patients who underwent domestic single-port robotic surgery in the Department of Head and Neck Surgery of Sichuan Cancer Hospital from June 2024 to January 2025 were prospectively included. Clinical data, oncological characteristics, and perioperative indicators were systematically collected. Results:A total of 7 patients were included, including 3 males and 4 females, with an age of （34.57±10.26） years. All procedures were successfully completed without conversion to open surgery. Operative time was（180.00±30.41） minutes. Blood loss was（5.00[15.00 ]）mL. Postoperative drainage volume was （167.86±130.95） mL. The postoperative pathological results were all thyroid papillary carcinoma. There were no system failures, no device-related complications and adverse events were observed during the operation and perioperative period. No tumor recurrence or metastasis was observed during the follow-up period. Conclusion:Preliminary data indicate that the domestic single-port robotic surgical system is safe and feasible for the surgical treatment of thyroid cancer, providing a practical basis for subsequent multi-disease, multi-center, and large-sample studies.
Humans ; Thyroid Neoplasms/surgery* ; Robotic Surgical Procedures/instrumentation* ; Male ; Female ; Adult ; Thyroidectomy/methods* ; Operative Time ; Middle Aged ; Prospective Studies