Background and Aims:Polycystic ovary syndrome(PCOS)is a common endocrine disorder among obese women,often accompanied by psychological issues such as anxiety and depression.Laparoscopic sleeve gastrectomy(LSG)is an effective treatment for obesity and its related metabolic conditions,and has shown clear benefits in improving weight and metabolic profiles in PCOS patients.However,the potential mechanisms by which psychological status may affect weight loss outcomes remain unclear.This study aimed to evaluate the psychological characteristics of obese patients with PCOS and explore their impact on postoperative weight loss outcomes,in order to provide evidence for individualized intervention strategies.Methods:Female obese patients scheduled for LSG between November 2020 and September 2022 were enrolled and divided into PCOS and non-PCOS groups.Standardized psychological scales were used to assess anxiety,depression,self-esteem,and eating behaviors.Weight loss outcomes were recorded at 6 and 12 months postoperatively.Propensity score matching was used to control for confounding factors such as age and body mass index(BMI),and correlation analysis was conducted to explore the relationship between psychological status and weight loss outcomes.Results:A total of 314 patients were included,with 130 cases(41.4％)in the PCOS group.Before matching,the PCOS group had significantly worse psychological indicators and lower weight loss outcomes compared to the non-PCOS group(all P＜0.05);after matching,these differences were no longer statistically significant(all P＞0.05).Emotional eating was positively correlated with 12-month weight loss outcomes in the PCOS group,while anxiety and internalized weight stigma were associated with weight loss outcomes in the non-PCOS group(P＜0.05).Additionally,among patients with moderate and extreme obesity,weight loss outcomes in the PCOS group were superior to those in the non-PCOS group(P＜0.05).BMI was negatively correlated with self-esteem,eating behaviors,and quality of life(all P＜0.05).Conclusion:Obese patients with PCOS exhibit notable psychological distress.However,after controlling for BMI and age,their psychological status and weight loss outcomes are comparable to those of non-PCOS patients.BMI may serve as an important confounding factor,and psychological factors may influence weight loss indirectly through eating behaviors.Preoperative psychological screening and intervention are recommended.

Objective To explore the effects of different grinding amounts of articular processes on the biomechanical stability and inflammatory response of lumbar spine during percutaneous foraminoscopic surgery(PTED).Methods A total of 195 patients with lumbar disc herniation(LDH)in our hospital were selected for prospective study from January 2018 to October 2020,and they were divided into three groups by randomized numerical table method,each with 65 cases,and all of them were implemented PTED.Patients with intraoperative upper joint process grinding＜33％were treated as a small group,patients with intraoperative grinding＜33％～50％were treated as a medium group,and patients with＞50％were treated as a large group.The surgery-related indexes of the three groups of patients were observed,as well as the inflammatory indexes[interleukin-6(IL-6),tumor necrosis factor-alpha(TNF-α)],biomechanical stability,and joint functional recovery scores at different time points before and after surgery.Results The operation time and intraoperative bleeding were(61.32±7.86)min and(11.85±1.10)ml in the small group,(70.06±8.53)min and(14.32±2.21)ml in the medium group,and(74.47±10.00)min and(19.86±3.00)ml in the large group,and the differences among the three groups were statistically significant(P＜0.05).Serum IL-6 and TNF-α were(6.10±1.12)pg/ml and(8.21±1.87)ng/L in the small group 3d postoperatively,and(3.27±0.58)pg/ml and(4.32±1.00)ng/L in the discharge group,and in the medium group 3d postoperatively,they were(6.68±1.35)pg/ml and(9.00±1.20)ng/L at discharge and(4.10±0.63)pg/ml and(6.85±1.28)ng/L at discharge,respectively,and(7.32±1.00)pg/ml and(10.57±1.28)ng/L in the massive group at 3d postoperatively and(4.57±0.49)pg/ml and(8.14±1.35)ng/L at discharge,and the difference between the three groups was statistically significant(P＜0.05);the serum lumbar lordosis angle,lumbar flexion,and lumbar stability scores were(42.28±2.12)°,(1.86±0.36)cm,and(10.52±2.01)° at 1 month postoperatively,and(42.11±1.97)°,(1.87±0.52)cm,and(10.63±1.96)° at 1 year postoperatively,respectively,for the small group,and(40.86±1.89)°,(1.72±0.28)cm,(10.63±2.15)scores,(39.15±2.11)°,(1.60±0.42)cm,(12.11±1.63)scores for the medium group,respectively,1 month postoperatively in the large volume group,(39.01±2.35)°,(1.61±0.29)cm,(11.20±2.75)scores,and(38.11±2.32)°,(1.43±0.33)cm,(13.24±1.52)scores at 1 year postoperatively,respectively,and the difference between the three groups were statistically significant(P＜0.05).Conclusion PTED treatment of LDH can reduce the amount of grinding of the superior articular process during surgery,reduce operative time and intraoperative bleeding,alleviate inflammatory response,and achieve good short-and medium-term lumbar function and joint stability.

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.

Normal heart function depends on complex regulation by the brain, and abnormalities in the brain‒heart axis affect various diseases, such as myocardial infarction and anxiety disorders. However, systematic tracking of the brain regions associated with the input and output of the heart is lacking. In this study, we injected retrograde transsynaptic pseudorabies virus (PRV) and anterograde transsynaptic herpes simplex virus (HSV) into the left ventricular wall of mice to identify the whole-brain regions associated with the input to and output from the heart. We successfully detected PRV and HSV expression in at least 170 brain subregions in both male and female mice. Sex differences were discovered mainly in the hypothalamus and medulla, with male mice exhibiting greater correlation and hierarchical clustering than female mice, indicating reduced similarity and increased modularity of virus expression patterns in male mice. Further graph theory and multiple linear regression analysis of different injection timelines revealed that hub regions of PRV had highly similar clusters, with different brain levels, suggesting a top-down, hierarchically transmitted neural control pattern of the heart. Hub regions of HSV had scattered clusters, with brain regions gathered in the cortex and brainstem, suggesting a bottom-up, leapfrog, multipoint neural sensing pattern of the heart. Both patterns contain many hub brain regions that have been previously overlooked in brain‒heart axis studies. These results provide brain targets for future research and will lead to deeper insight into the brain mechanisms involved in specific heart conditions.
Animals ; Male ; Female ; Heart/physiology* ; Mice ; Herpesvirus 1, Suid ; Brain/physiology* ; Mice, Inbred C57BL ; Brain Mapping ; Efferent Pathways/physiology* ; Afferent Pathways/physiology* ; Simplexvirus ; Sex Characteristics

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 relationship between the dark triad, fear of missing out and smartphone addiction, as well as the mediating role of fear of missing out between the dark triad and smartphone addiction.Methods:A total of 408 college students were assessed using dirty dozen, fear of missing out scale, and mobile phone addiction index. SPSS 24.0 software was used for common method bias tests, descriptive statistical analysis, and correlation analysis. Mplus 8.3 software was employed to construct a structural equation model, and the Bootstrap method was used for mediation effect analysis.Results:The dark triad (36.14±9.06) was positively correlated with fear of missing out (22.55±6.60) and smartphone addiction (46.77±13.62) ( r=0.48, 0.45, both P<0.01). Fear of missing out was also positively correlated with smartphone addiction ( r=0.54, P<0.01). Fear of missing out played a partial mediating role in the relationship between the dark triad and smartphone addiction, with a total effect value of 0.495 and a mediating effect value of 0.217. Conclusion:Fear of missing out partially mediates the relationship between the dark triad and smartphone addiction. The dark triad not only directly predicts smartphone addiction but also indirectly influences smartphone addiction through fear of missing out.

Objective To explore the effects of different grinding amounts of articular processes on the biomechanical stability and inflammatory response of lumbar spine during percutaneous foraminoscopic surgery(PTED).Methods A total of 195 patients with lumbar disc herniation(LDH)in our hospital were selected for prospective study from January 2018 to October 2020,and they were divided into three groups by randomized numerical table method,each with 65 cases,and all of them were implemented PTED.Patients with intraoperative upper joint process grinding＜33％were treated as a small group,patients with intraoperative grinding＜33％～50％were treated as a medium group,and patients with＞50％were treated as a large group.The surgery-related indexes of the three groups of patients were observed,as well as the inflammatory indexes[interleukin-6(IL-6),tumor necrosis factor-alpha(TNF-α)],biomechanical stability,and joint functional recovery scores at different time points before and after surgery.Results The operation time and intraoperative bleeding were(61.32±7.86)min and(11.85±1.10)ml in the small group,(70.06±8.53)min and(14.32±2.21)ml in the medium group,and(74.47±10.00)min and(19.86±3.00)ml in the large group,and the differences among the three groups were statistically significant(P＜0.05).Serum IL-6 and TNF-α were(6.10±1.12)pg/ml and(8.21±1.87)ng/L in the small group 3d postoperatively,and(3.27±0.58)pg/ml and(4.32±1.00)ng/L in the discharge group,and in the medium group 3d postoperatively,they were(6.68±1.35)pg/ml and(9.00±1.20)ng/L at discharge and(4.10±0.63)pg/ml and(6.85±1.28)ng/L at discharge,respectively,and(7.32±1.00)pg/ml and(10.57±1.28)ng/L in the massive group at 3d postoperatively and(4.57±0.49)pg/ml and(8.14±1.35)ng/L at discharge,and the difference between the three groups was statistically significant(P＜0.05);the serum lumbar lordosis angle,lumbar flexion,and lumbar stability scores were(42.28±2.12)°,(1.86±0.36)cm,and(10.52±2.01)° at 1 month postoperatively,and(42.11±1.97)°,(1.87±0.52)cm,and(10.63±1.96)° at 1 year postoperatively,respectively,for the small group,and(40.86±1.89)°,(1.72±0.28)cm,(10.63±2.15)scores,(39.15±2.11)°,(1.60±0.42)cm,(12.11±1.63)scores for the medium group,respectively,1 month postoperatively in the large volume group,(39.01±2.35)°,(1.61±0.29)cm,(11.20±2.75)scores,and(38.11±2.32)°,(1.43±0.33)cm,(13.24±1.52)scores at 1 year postoperatively,respectively,and the difference between the three groups were statistically significant(P＜0.05).Conclusion PTED treatment of LDH can reduce the amount of grinding of the superior articular process during surgery,reduce operative time and intraoperative bleeding,alleviate inflammatory response,and achieve good short-and medium-term lumbar function and joint stability.

Objective:To explore the relationship between insomnia, depression, sense of meaning in life and suicidal behavior among college students.Methods:A cross-sectional survey was conducted among 7 260 college students at a university in Hebei Province from September to November 2024. The insomnia severity index (ISI), patient health questionnaire(PHQ-9), meaning in life questionnaire(MLQ), and suicide behavior questionnaire-revised (SBQ-R) were used for assessment. Structural equation modeling test was conducted by Mplus 8.0 to test the mediating effect of depression and the moderating effect of sense of meaning in life.Results:(1) The scores of insomnia (6.00 (4.00, 8.00)), depression (2.50 (0, 2.00)), and suicidal behavior (4.00 (3.00, 4.00)) were significantly and positively correlated with each other ( r=0.51-0.66, all P<0.01). The sense of meaning in life (47.80 (39.00, 58.00)) was negatively correlated with insomnia, depression, and suicidal behavior ( r=-0.04--0.22, all P<0.01). (2) Insomnia could positively predict suicidal behavior among college students ( β= 0.15, P<0.01). (3) Depression played a partial mediating role between insomnia and suicidal behavior, with a mediating effect value of 0.40 (95% CI= 0.37-0.43), accounting for 72.73%(0.40/0.55) of the total effect. Conclusion:Depression plays a partial mediating role between insomnia and suicidal behavior among college students. The sense of meaning in life can moderate the impact of insomnia on depression and suicidal behavior.