Objective To explore the factors affecting the quality of psychological assistance hotline connections in Shaanxi Province, and to provide a basis for optimizing services. Methods A total of 149 calls with suicidal tendencies were included from January to March 2022, and data were collected by 31 trained assessors through standardized questionnaires (general information, suicide risk, emotional intensity, and wiring characteristics). Results The results showed that 56.38% of the callers were female, with age groups concentrated between ≤ 18 years old (29.53%) and 19-34 years old (43.62%). The call duration was mainly between 31 and 45 minutes (50.34%). Operators conducted a suicide risk assessment on the callers, with 38.9% having a comprehensive assessment, 38.9% having an incomplete assessment, and 22.1% having no assessment. The main mental disorders of the callers were depression (48.32%), anxiety (15.44%), and bipolar disorder (14.77%), with 25.50% having comorbidities of ≥ 2 disorders. Emotional scores were as follows: depression (4.11 ± 0.76), sadness (3.97 ± 1.03), and despair (3.78 ± 1.05). There were significant differences in depression, anger, despair, and sadness among the callers with different levels of danger (t=4.79, 3.35, 15.79, 4.24, all P<0.05). Women had higher levels of fear than men (t=3.10, P<0.01). The longer the call duration, the higher the level of despair (t=5.66, P<0.01). Multiple regression analysis showed that incomplete suicide risk assessment by operators (B=-2.36), general procedures for operators' connections (B=5.44), and technical factors (B=2.01) significantly affected the quality of psychological assistance hotlines (all P<0.05). Conclusion Callers with suicidal tendencies generally have serious mental and psychological problems and prominent negative emotions. Strengthening the suicide risk assessment ability of operators and standardizing processes and service attitudes are key to improving the quality of psychological assistance hotlines.

Objective To investigate the effect of arthroscopic exploration combined with unicompartmental replacement surgery on knee joint function in patients with knee osteoarthritis.Methods Totally 82 patients with knee osteoarthritis in our hospital from August 2021 to February 2024 were included and stochastically divided into the control group and the observed group,with 41 patients in each group.Using a single-blind design,both groups received routine treatment first,while the control group received unicompartmental replacement surgery.The observation group was treated with arthroscopic exploration combined with unicompartmental replacement.Knee joint scoring criteria(HSS),Pittsburgh Sleep Quality Index(PSQI),Visual Analog Scale(VAS)scores,quality of life,serum superoxide dismutase(SOD),malondialdehyde(MDA)and knee joint range of motion were compared between two groups.Results After treatment,HSS score,social function,physical function,overall health score,SOD and knee flexion angle increased in both groups(P＜0.05),and the observed group was even higher(t=3.821,4.027,3.706,3.957,7.481 and 3.733,P＜0.05).PSQI score,VAS score,MDA and tibiofemoral angle decreased in both groups,and the observed group was even lower(t=4.601,8.375,9.084 and 3.625,P＜0.05).Conclusion Arthroscopic exploration combined with unicompartmental replacement surgery can effectively improve knee joint function and enhance the quality of life of patients with knee osteoarthritis.

Objective:To evaluate the safety and feasibility of Da Vinci robot-assisted proximal gastrectomy (PG) for proximal gastric cancer (PGC) and adenocarcinoma of the esophagogastric junction (AEG).Method:Twenty-five patients (PGC: n=7; AEG: n=18) undergoing Da Vinci-assisted PG at the First Affiliated Hospital of Dalian Medical University from Jan 2021 to Mar 2025 were divided into (indocyanine green ,ICG) ( n=9) and non-ICG ( n=16) groups based on whether intraoperative ICG navigation was used. Perioperative outcomes and pathological data were compared. Results:All operations were successfully completed without conversion to open surgery. The median proximal resection margin was 3.0 cm (2.5-3.0) cm, and the median distal resection margin was 4.0 cm (3.0-5.0) cm. Operative time in the ICG and non-ICG groups was (294.4±41.3) min and (354.4±67.4) min, respectively, with a statistically significant difference ( t=2.760， P< 0.05). The total number of lymph nodes harvested, as well as D 1 and D 2 LN stations, was (29.3±14.8) vs. (21.8±6.3), 17.0 (10.0-24.8) vs. 14.0 (11.0-22.5), and 10.0 (2.0-17.0) vs. 7.2 (2.0-7.5) in the ICG and non-ICG groups, respectively. Although the ICG group showed a trend toward higher LN yield, the difference was not statistically significant ( P>0.05). Conclusions:Da Vinci robotic assisted proximal gastrectomy is safe and feasible for treating PGC and AEG. ICG fluorescence imaging demonstrates promising clinical value.

Objective:To evaluate long-term outcomes of endoscopic papillectomy (EP) for duodenal papillary adenomas and to identify risk factors for incomplete resection.Methods:Clinical data of 180 patients diagnosed as having duodenal papillary adenoma via postoperative pathology after EP in Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School from January 2010 to December 2022 were retrospectively analyzed. Patients were divided into two groups based on their postoperative margin status: the complete resection group (negative resection margins) and the incomplete resection group (positive/uncertain resection margins). Recurrence rates were compared between the two groups, and logistic regression analysis was performed to identify risk factors for incomplete resection.Results:Among the 180 patients included in the study, 137 underwent complete resection, and 43 had incomplete resections. Recurrence rate was significantly higher in the incomplete resection group than that in the complete resection group (30.2% VS 15.3%, χ2=4.75, P=0.029). logistic regression analysis indicated that high-grade intraepithelial neoplasia was an independent risk factor for incomplete resection ( OR=2.43, 95% CI:1.12-5.26, P=0.024). Conclusion:Patients with incomplete resection after EP have a higher recurrence rate in the long-term follow-up. High-grade intraepithelial neoplasia is an independent risk factor for incomplete resection. Close surveillance and aggressive management are warranted for patients with positive or uncertain resection margins to mitigate the recurrence risk.

Objective To explore the efficacy of magnetic resonance angiography(MRA)combined with CXC motif chemokine ligand 12(CXCL12)in predicting ischemic stroke in patients with transient ischemic attack(TIA).Methods A total of 225 patients with TIA were selected,and all patients underwent MRA and CXCL12 examination before treatment.The occurrence of ischemic stroke in TIA patients was counted within 1 week of treatment,the factors influencing the occurrence of ischemic stroke in TIA patients were analyzed,and the value of MRA combined with CXCL12 in predicting the occurrence of ischemic stroke in TIA patients was ana-lyzed.Results Among the 225 patients,21 of them had ischemic stroke.Multivariate logistic regression analysis showed that Essen stroke risk scale(ESRS)score,lesion site stenosis,and CXCL12 level were the factors influencing the occurrence of ischemic stroke in TIA patients(P<0.05).The receiver operating characteristic(ROC)curve showed that the sensitivity of lesion site stenosis,CXCL12 and their combination in predicting the occurrence of ischemic stroke in TIA patients was 76.19%,71.43%,and 85.71%,respectively,the specificity was 80.39%,70.10%,and 88.73%,respectively,and the area under the curve(AUC)was 0.798,0.733,and 0.895,respectively.Conclusion MRA combined with CXCL12 has good efficacy in predicting the occurrence of ischemic stroke in TIA patients.

Copy number variation encompassing SNP plays an important role in IVD and precision medi-cine.As the most commonly used method,FISH could not overcome the probe cross-reactivity which is common when to detect SNP.Here we developed a quantitative and qualitative method on copy number variation encompassing SNP.In this study,the rs76711854 was used as an example to establish a quanti-tative method by advantage of probe cross-reactivity.The fragment encompassing rs76711854 and its downstream to 9 514 bp were amplified by PCR.The allelic genotypes were verified by Sanger sequen-cing.Different probes with or without cross-reactivity to be used via quantitative real-time PCR and digit-al PCR.The different clusters(2D)and fluorescence intensity layers(1D)exist by adding probe with cross-reactivity.The A/G ratio measured by digital PCR is 2︰1,which is verified by probe targeting to the SNP.The copy-number variant exists in the 9kb-long fragment upstream to the SNP of prostate cancer cell line but not in human endometrial adenocarcinoma cell line Ishikawa.The data suggest that there is a multi-copy variation at this locus in DU145 cells.The method applied here is based on one single cross-reactivity probe via digital PCR.

Objective:s To investigate the risk factors for delayed encephalopathy after acute carbon monoxide poisoning (DEACMP) in patients with acute carbon monoxide poisoning (ACOP) and to develop predictive models based on machine learning algorithms.Methods:Patients with ACOP hospitalized at the First Affiliated Hospital of Zhengzhou University from August 2019 to October 2024 were included, with the occurrence of DEACMP as the outcome measure. The dataset was randomly divided into training and validation sets at a ratio of 7:3. Lasso regression was used to select features influencing the outcome in training sets. Nine machine learning models—including Random Forest (RF), Extreme Gradient Boosting (XGBoost), and Support Vector Machine (SVM)—were constructed. Receiver operating characteristic (ROC) curves were plotted and the area under the curve (AUC) calculated for each model. Calibration curves were used to assess accuracy, and decision curve analysis (DCA) was applied to evaluate clinical utility. The SHapley Additive exPlanations (SHAP) method was employed to visualize and interpret the best-performing model.Results:A total of 264 ACOP patients were included, of whom 54 (20.5%) developed DEACMP. Lasso regression identified eight key feature variables. Based on these factors, predictive models were constructed, showing good AUC stability across the nine machine learning models in both training (0.92–0.99) and validation sets (0.85–0.91). The RF model performed best, with an AUC of 0.99 in the training set and 0.90 in the validation set; its calibration curve and DCA curve also demonstrated excellent performance. SHAP analysis of the RF model revealed the importance ranking of factors from highest to lowest as follows: Glasgow Coma Scale (GCS) score, duration of coma, age, history of coronary heart disease, CK-MB level, monocyte count, diastolic blood pressure (DBP), and drinking history.Conclusions:The RF model exhibited the highest predictive performance for DEACMP occurrence in ACOP patients. The influencing factors, ranked in order of importance from highest to lowest, are as follows: GCS score, duration of coma, age, history of coronary heart disease, CK-MB level, monocyte count, DBP, and drinking history.

Palmitoylation, an essential covalent attachment of a fatty acid (usually C16 palmitate) to cysteine residues within proteins, is crucial for regulating protein functionality and enzymatic activities. This lipid modification facilitates the anchoring of proteins to cellular membranes, dictating their subcellular distribution and influencing protein transport dynamics and intracellular positioning. Additionally, it plays a role in regulating protein degradation through the ubiquitin-proteasome system. Palmitoylation is implicated in the pathogenesis and progression of cardiovascular diseases by modulating substrates and prompting additional post-translational modifications, as well as by interacting with other molecular alterations. Moreover, an intervention strategy focusing on palmitoylation processes is anticipated to offer novel therapeutic avenues for cardiovascular pathologies and address extant challenges in clinical settings. This review consolidates current research on the role and importance of palmitoylation in cardiovascular diseases by exploring its regulatory functions, the catalyzing enzymes, and the involved substrates. It highlights recent discoveries connecting palmitoylation-targeted therapies to cardiovascular health and examines potential approaches and future challenges in cardiovascular treatment.

Attention is the cornerstone of effective functioning in a complex and information-rich world. While the neural activity of attention has been extensively studied in the cortex, the brain-wide neural activity patterns are largely unknown. In this study, we conducted a comprehensive analysis of neural activity across the mouse brain during attentional processing using EEG and c-Fos staining, utilizing hierarchical clustering and c-Fos-based functional network analysis to evaluate the c-Fos activation patterns. Our findings reveal that a wide range of brain regions are activated, notably in the high-order cortex, thalamus, and brain stem regions involved in advanced cognition and arousal regulation, with the central lateral nucleus of the thalamus as a strong hub, suggesting the crucial role of the thalamus in attention control. These results provide valuable insights into the neural network mechanisms underlying attention, offering a foundation for formulating functional hypotheses and conducting circuit-level testing.
Animals ; Attention/physiology* ; Mice ; Brain/physiology* ; Male ; Electroencephalography ; Reaction Time/physiology* ; Brain Mapping ; Mice, Inbred C57BL ; Choice Behavior/physiology* ; Proto-Oncogene Proteins c-fos/metabolism*