Objective: This study investigates the potential of radiomics to predict postoperative progression of ossification of the posterior longitudinal ligament (OPLL) after posterior cervical spine surgery. Methods: This retrospective study included 473 patients diagnosed with OPLL at Peking University Third Hospital between October 2006 and September 2022. Patients underwent posterior spinal surgery and had at least 2 computed tomography (CT) examinations spaced at least 1 year apart. OPLL progression was defined as an annual growth rate exceeding 7.5%. Radiomic features were extracted from preoperative CT images of the OPLL lesions, followed by feature selection using correlation coefficient analysis and least absolute shrinkage and selection operator, and dimensionality reduction using principal component analysis. Univariable analysis identified significant clinical variables for constructing the clinical model. Logistic regression models, including the Rad-score model, clinical model, and combined model, were developed to predict OPLL progression. Results: Of the 473 patients, 191 (40.4%) experienced OPLL progression. On the testing set, the combined model, which incorporated the Rad-score and clinical variables (area under the receiver operating characteristic curve [AUC] = 0.751), outperformed both the radiomics-only model (AUC = 0.693) and the clinical model (AUC = 0.620). Calibration curves demonstrated good agreement between predicted probabilities and observed outcomes, and decision curve analysis confirmed the clinical utility of the combined model. SHAP (SHapley Additive exPlanations) analysis indicated that the Rad-score and age were key contributors to the model’s predictions, enhancing clinical interpretability. Conclusion Radiomics, combined with clinical variables, provides a valuable predictive tool for assessing the risk of postoperative progression in cervical OPLL, supporting more personalized treatment strategies. Prospective, multicenter validation is needed to confirm the utility of the model in broader clinical settings.

Objective: This study investigates the potential of radiomics to predict postoperative progression of ossification of the posterior longitudinal ligament (OPLL) after posterior cervical spine surgery. Methods: This retrospective study included 473 patients diagnosed with OPLL at Peking University Third Hospital between October 2006 and September 2022. Patients underwent posterior spinal surgery and had at least 2 computed tomography (CT) examinations spaced at least 1 year apart. OPLL progression was defined as an annual growth rate exceeding 7.5%. Radiomic features were extracted from preoperative CT images of the OPLL lesions, followed by feature selection using correlation coefficient analysis and least absolute shrinkage and selection operator, and dimensionality reduction using principal component analysis. Univariable analysis identified significant clinical variables for constructing the clinical model. Logistic regression models, including the Rad-score model, clinical model, and combined model, were developed to predict OPLL progression. Results: Of the 473 patients, 191 (40.4%) experienced OPLL progression. On the testing set, the combined model, which incorporated the Rad-score and clinical variables (area under the receiver operating characteristic curve [AUC] = 0.751), outperformed both the radiomics-only model (AUC = 0.693) and the clinical model (AUC = 0.620). Calibration curves demonstrated good agreement between predicted probabilities and observed outcomes, and decision curve analysis confirmed the clinical utility of the combined model. SHAP (SHapley Additive exPlanations) analysis indicated that the Rad-score and age were key contributors to the model’s predictions, enhancing clinical interpretability. Conclusion Radiomics, combined with clinical variables, provides a valuable predictive tool for assessing the risk of postoperative progression in cervical OPLL, supporting more personalized treatment strategies. Prospective, multicenter validation is needed to confirm the utility of the model in broader clinical settings.

Objective: This study investigates the potential of radiomics to predict postoperative progression of ossification of the posterior longitudinal ligament (OPLL) after posterior cervical spine surgery. Methods: This retrospective study included 473 patients diagnosed with OPLL at Peking University Third Hospital between October 2006 and September 2022. Patients underwent posterior spinal surgery and had at least 2 computed tomography (CT) examinations spaced at least 1 year apart. OPLL progression was defined as an annual growth rate exceeding 7.5%. Radiomic features were extracted from preoperative CT images of the OPLL lesions, followed by feature selection using correlation coefficient analysis and least absolute shrinkage and selection operator, and dimensionality reduction using principal component analysis. Univariable analysis identified significant clinical variables for constructing the clinical model. Logistic regression models, including the Rad-score model, clinical model, and combined model, were developed to predict OPLL progression. Results: Of the 473 patients, 191 (40.4%) experienced OPLL progression. On the testing set, the combined model, which incorporated the Rad-score and clinical variables (area under the receiver operating characteristic curve [AUC] = 0.751), outperformed both the radiomics-only model (AUC = 0.693) and the clinical model (AUC = 0.620). Calibration curves demonstrated good agreement between predicted probabilities and observed outcomes, and decision curve analysis confirmed the clinical utility of the combined model. SHAP (SHapley Additive exPlanations) analysis indicated that the Rad-score and age were key contributors to the model’s predictions, enhancing clinical interpretability. Conclusion Radiomics, combined with clinical variables, provides a valuable predictive tool for assessing the risk of postoperative progression in cervical OPLL, supporting more personalized treatment strategies. Prospective, multicenter validation is needed to confirm the utility of the model in broader clinical settings.

Objective: This study investigates the potential of radiomics to predict postoperative progression of ossification of the posterior longitudinal ligament (OPLL) after posterior cervical spine surgery. Methods: This retrospective study included 473 patients diagnosed with OPLL at Peking University Third Hospital between October 2006 and September 2022. Patients underwent posterior spinal surgery and had at least 2 computed tomography (CT) examinations spaced at least 1 year apart. OPLL progression was defined as an annual growth rate exceeding 7.5%. Radiomic features were extracted from preoperative CT images of the OPLL lesions, followed by feature selection using correlation coefficient analysis and least absolute shrinkage and selection operator, and dimensionality reduction using principal component analysis. Univariable analysis identified significant clinical variables for constructing the clinical model. Logistic regression models, including the Rad-score model, clinical model, and combined model, were developed to predict OPLL progression. Results: Of the 473 patients, 191 (40.4%) experienced OPLL progression. On the testing set, the combined model, which incorporated the Rad-score and clinical variables (area under the receiver operating characteristic curve [AUC] = 0.751), outperformed both the radiomics-only model (AUC = 0.693) and the clinical model (AUC = 0.620). Calibration curves demonstrated good agreement between predicted probabilities and observed outcomes, and decision curve analysis confirmed the clinical utility of the combined model. SHAP (SHapley Additive exPlanations) analysis indicated that the Rad-score and age were key contributors to the model’s predictions, enhancing clinical interpretability. Conclusion Radiomics, combined with clinical variables, provides a valuable predictive tool for assessing the risk of postoperative progression in cervical OPLL, supporting more personalized treatment strategies. Prospective, multicenter validation is needed to confirm the utility of the model in broader clinical settings.

Objective: This study investigates the potential of radiomics to predict postoperative progression of ossification of the posterior longitudinal ligament (OPLL) after posterior cervical spine surgery. Methods: This retrospective study included 473 patients diagnosed with OPLL at Peking University Third Hospital between October 2006 and September 2022. Patients underwent posterior spinal surgery and had at least 2 computed tomography (CT) examinations spaced at least 1 year apart. OPLL progression was defined as an annual growth rate exceeding 7.5%. Radiomic features were extracted from preoperative CT images of the OPLL lesions, followed by feature selection using correlation coefficient analysis and least absolute shrinkage and selection operator, and dimensionality reduction using principal component analysis. Univariable analysis identified significant clinical variables for constructing the clinical model. Logistic regression models, including the Rad-score model, clinical model, and combined model, were developed to predict OPLL progression. Results: Of the 473 patients, 191 (40.4%) experienced OPLL progression. On the testing set, the combined model, which incorporated the Rad-score and clinical variables (area under the receiver operating characteristic curve [AUC] = 0.751), outperformed both the radiomics-only model (AUC = 0.693) and the clinical model (AUC = 0.620). Calibration curves demonstrated good agreement between predicted probabilities and observed outcomes, and decision curve analysis confirmed the clinical utility of the combined model. SHAP (SHapley Additive exPlanations) analysis indicated that the Rad-score and age were key contributors to the model’s predictions, enhancing clinical interpretability. Conclusion Radiomics, combined with clinical variables, provides a valuable predictive tool for assessing the risk of postoperative progression in cervical OPLL, supporting more personalized treatment strategies. Prospective, multicenter validation is needed to confirm the utility of the model in broader clinical settings.

Objective:To explore the chain mediating effect of anxiety and flow experience on perceived stress and mobile phone addiction in nursing college students.Methods:In December 2021, a cross-sectional design survey was conducted on 4 179 freshmen and sophomores in a nursing college in Heilongjiang Province. The Chinese perceived stress scale, generalized anxiety disorder-7, flow state scale, and mobile phone addiction tendency scale were selected separately to assess perceived stress, anxiety symptoms, flow experience and mobile phone addiction. SPSS 26.0 software was used for descriptive analysis, independent sample t-test, Spearman correlation analysis, and AMOS 24.0 software was used for mediating effect test. Results:(1) Among the 3 050 nursing students, there were 714(23.41%) students who were addicted to mobile phones. (2) Spearman correlation analysis indicated that perceived stress(27.31±9.56) was positively correlated with anxiety(7.00(1.00, 10.00), r=0.441, P<0.05), flow experience((12.00±3.40), r=0.517, P<0.05), and mobile phone addiction((42.42±13.05), r=0.476, P<0.05).Anxiety was positively correlated with flow experience ( r=0.430, P<0.01) and mobile phone addiction ( r=0.538, P<0.01).Flow experience was positively correlated with mobile phone addiction ( r=0.490, P<0.01). (3) Anxiety and flow experience played seperate mediating and chain mediating roles between perceived stress and mobile phone addiction, accounting for 26.06%(0.165/0.633), 23.54%(0.149/0.633) and 3.48%(0.022/0.633) of the total effect. Conclusion:Perceived stress not only directly affects the mobile phone addiction of nursing students, but also indirectly affects mobile phone addiction through the independent and chain mediating effects of anxiety and flow experience.

Objective This study aimed to clarify the anti-influenza virus activity of Bingyanqing(BYQ),as well as to explore the mechanism of BYQ in treating influenza through network pharmacology and experimental verification.Methods The impact of BYQ on mortality,lung index,and viral load in an influenza mouse model was detected.We collected the ingredients and targets of BYQ formula by searching databases including TCMSP,Swiss Target Prediction and consulting the literature.The"ingredients-common target"network for anti-influenza effect of BYQ was constructed using Cytoscape software.The protein-protein interaction(PPI)network was constructed using the STRING database and Cytoscape software,and the core targets were screened.Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analyses were performed for common targets.The effect of BYQ on reducing influenza-induced oxidative damage,the expression of antioxidant and pro-oxidant enzyme,P65 phosphorylation and nuclear factor E2-related factor 2(Nrf2)nuclear translocation in vivo were investigated.Results BYQ significantly reduced mortality,lung index,pulmonary viral load and lung injury in a mouse model of influenza.We obtained one hundred and ninety-three of BYQ active compounds,which corresponded to three hundred and thirty-eight targets.There are 180 influenza-related targets among them.Nine targets,including IκBα kinase α(CHUK),IκBα kinase γ(IKBKG),NF-κB p65(RELA),tumor necrosis factor(TNF)and interleukin 6(IL6),were identified as potential core targets.GO analysis indicated that BYQ is involved in several biological functions,including antibacterial and antioxidant stress responses.KEGG analysis revealed the involvement of several viral and immune-related pathways for BYQ in treating influenza,including herpes simplex virus,influenza A virus,TNFα and toll-like receptor pathways.In vivo studies showed that high-dose BYQ significantly reduced pulmonary malondialdehyde(MDA)levels(P＜0.01)and increased total superoxide dismutase(SOD)activity(P＜0.001)in a mouse mode of influenza compared to oseltamivir phosphate.The treatment group with the combination of BYQ&oseltamivir phosphate had lower levels of NADPH oxidase 2(NOX2)and 4(NOX4)(P＜0.001),and higher levels of catalase(CAT)and glutathione peroxidase 4(GPX4)(P＜0.001)in the lungs than oseltamivir phosphate group.The combined treatment group showed more significant Nrf2 nuclear translocation(P＜0.05)than the oseltamivir phosphate group.However,there was no significant difference in P65 phosphorylation levels between the combination treatment group and the oseltamivir phosphate group(P＜0.05),but P65 phosphorylation levels in both groups were lower than in the model group(P＜0.05).Conclusion BYQ exhibits significant anti-influenza virus activity,manifests a dual effect by inhibiting the synthesis of pro-oxidant enzymes and promoting the antioxidant system,thereby alleviates the oxidative stress damage caused by influenza.

Objective:To explore the relationship between mobile phone addiction and perceived stress, negative emotion, social support and psychological capital in college students, especially to clarify the internal mechanism of these variables.Methods:A total of 836 college students were investigated with mobile phone addiction index scale, positive psychological capital questionnaire, stress perception scale, positive and negative emotion scale and perceived social support scale.SPSS 22.0 software was used for correlation analysis and SPSS-PROCESS was used to analyze the mediating effect and moderating effect.Results:(1)The scores of psychological capital and perceived stress were(123.38±17.96)and(38.76±6.39)respectively, and the scores of negative emotion, social support and mobile phone addiction were(22.46±6.45), (63.36±12.40)and(39.31±10.01)respectively.Psychological capital was negatively correlated with perceived stress, negative emotion and mobile phone addiction( r=-0.66, -0.37, -0.28, all P<0.01).Perceived stress was positively correlated with negative emotion and mobile phone addiction( r=0.50, 0.38, both P<0.01).Social support was positively correlated with psychological capital( r=0.50, P<0.01), while negatively correlated with perceived stress, negative emotion and mobile phone addiction( r=-0.41, -0.30, -0.12, all P<0.01).(2)Psychological capital influenced mobile phone addiction by the mediating effect of perceived stress( β=-0.20, SE=0.03, 95% CI: -0.27--0.13).In addition, psychological capital influenced mobile phone addiction through the chain mediating effect of perceived stress and negative emotion( β=-0.04, SE=0.01, 95% CI: -0.06--0.01).Moreover, the mediating effect of psychological capital on stress perception was moderated by social support. Conclusion:Perceived stress and negative emotion are important mediations between psychological capital and mobile phone addiction.Social support can moderate the effect of psychological capital on perceived stress.

B7-H6 has been discovered as a new member of the B7 family in recent years, it can specifically bind to the NKp30, an activated receptor of natural killer (NK) cells to mediate NK cells' tumor immunity killing effect. B7-H6 expression is upregulated in a wide variety of malignant tumor cells, but expression deficiency in normal tissue is detected. The intrinsic mechanism of B7-H6 regulation has been explored, and the treatment targeting B7-H6 has achieved a good effect in animal experiments, which shows a wide prospect of clinical application. This paper summarizes the latest progress of B7-H6 molecule in malignant tumors.

Objective To explore the clinical features of subcutaneous fluid collection and post-operative headache after craniotomy and assess the efficacy and side effects of the millimeter wave treatment.MethodsA total of 32 neurosurgical patients with post-operative subcutaneous fluid collection were involved in this study and divided into traditional and millimeter wave treatment groups randomly. Subcutaneous fluid volume after 3 days, time for complete fluid absorption, time of hospital stay, incidence of related infections and severe headache between two groups were assessed.ResultsThe fluid reduction is 93.8% in the millimeter wave treatment group and 76.5% in the traditional treatment group 3 days after treatment (P<0.05); time for complete fluid absorption was also shorter in the millimeter wave treatment group; there is no infection in the millimeter wave treatment group and 3 cases in the traditional treatment group, millimeter wave treatment also reduced the occurrence of severe post-operative headache; there is no treatment-related side-effects in the millimeter treatment group.ConclusionMillimeter wave treatment is an efficacious and safe method for subcutaneous fluid collection after craniotomy, and can reduce the occurrences of related infections and post-operative pain.