Objective To explore the impact of wearable devices in assisting disease monitoring on heart-focused anxiety in patients with tachyarrhythmias. Methods A cross-sectional study design was conducted. 305 patients with tachyarrhythmias who attended the department of cardiology of Zhongshan Hospital, Fudan University in Shanghai from July 2025 to December 2025 were enrolled as the research subjects, and clinical data of patients were collected. Univariate analysis and multiple stepwise regression analysis were used to analyze the impact of wearable devices in assisting disease monitoring on patients’ heart-focused anxiety. Results The mean score of heart-focused anxiety in the 305 patients with tachyarrhythmias was 33.16±9.70. Among them, 104(34.10%) patients used wearable devices in assisting disease monitoring. The results of univariate analysis and multiple stepwise regression showed that the use of wearable devices in assisting disease monitoring was an influencing factor for heart-focused anxiety (P＜0.05), and the patients who used wearable devices in assisting disease monitoring had a significantly lower level of heart-focused anxiety (P＜0.05). Conclusions The use of wearable devices in assisting disease monitoring is associated with a lower level of heart-focused anxiety in patients with tachyarrhythmias. Medical staff can guide patients to rationally use wearable devices in assisting disease monitoring on the basis of evaluating their needs and device operation capabilities.

Purpose To explore the clinicopathological features and endoscopic manifestations of cap polyposis(CP).Methods Clinical,endoscopic,pathological,and follow-up data of 17 cases of CP were collected and ana-lyzed.Results There were 14 males and 3 females,aged 15-67 years,with a mean age of 36.5 years.The disease duration ranged from 2 weeks to 5 years,and most patients(64.7％,11/17)had symptoms for more than l year.The most common clinical manifestation was hematochezia(82.4％,14/17),while constipation was generally absent.En-doscopically,all lesions(100％,17/17)were located in the anal canal and lower rectum.The surface was invariably covered with a thick whitish exudate(100％,17/17),and annular growth was the most frequent pattern(76.5％,13/17).Pathologically,the mucosal layer was almost entirely replaced by granulation tissue,and the surface showed extensive inflammatory necrosis forming a cap-like structure.Conclusion CP predominantly occurrs in the anal canal and lower rectum of young men.The presence of abundant whitish exudate under endoscopy is differential diagnostic value.Complete endoscopic resection followed by pathological examination is required for definitive diagnosis.

Irritable bowel syndrome (IBS) is a common functional gastrointestinal disorder and its symptoms are subject to the composition of the gut microbiota. However, it is not yet clear how probiotics relieve IBS, and there is no well-acknowledged standards concerning the clinical application of probiotics. This systematic review was conducted on the literature published from January 2020 to December 2023 and included 12 randomized controlled trials on probiotics in the treatment of IBS. Compared with placebo, the probiotic preparations improved the overall efficacy in IBS patients and was also well tolerated, suggesting the potential of probiotics in IBS management. Nevertheless, different probiotic strains, dosages, combinations, and dosing schedules may affect the outcomes. In the future, large-scale, multi-center, long-term follow-up studies are still needed to clarify the effective strains and methods of use and to promote the use of probiotics in the treatment of IBS.

Irritable bowel syndrome (IBS) is a common functional gastrointestinal disorder and its symptoms are subject to the composition of the gut microbiota. However, it is not yet clear how probiotics relieve IBS, and there is no well-acknowledged standards concerning the clinical application of probiotics. This systematic review was conducted on the literature published from January 2020 to December 2023 and included 12 randomized controlled trials on probiotics in the treatment of IBS. Compared with placebo, the probiotic preparations improved the overall efficacy in IBS patients and was also well tolerated, suggesting the potential of probiotics in IBS management. Nevertheless, different probiotic strains, dosages, combinations, and dosing schedules may affect the outcomes. In the future, large-scale, multi-center, long-term follow-up studies are still needed to clarify the effective strains and methods of use and to promote the use of probiotics in the treatment of IBS.

Purpose To explore the clinicopathological features and endoscopic manifestations of cap polyposis(CP).Methods Clinical,endoscopic,pathological,and follow-up data of 17 cases of CP were collected and ana-lyzed.Results There were 14 males and 3 females,aged 15-67 years,with a mean age of 36.5 years.The disease duration ranged from 2 weeks to 5 years,and most patients(64.7％,11/17)had symptoms for more than l year.The most common clinical manifestation was hematochezia(82.4％,14/17),while constipation was generally absent.En-doscopically,all lesions(100％,17/17)were located in the anal canal and lower rectum.The surface was invariably covered with a thick whitish exudate(100％,17/17),and annular growth was the most frequent pattern(76.5％,13/17).Pathologically,the mucosal layer was almost entirely replaced by granulation tissue,and the surface showed extensive inflammatory necrosis forming a cap-like structure.Conclusion CP predominantly occurrs in the anal canal and lower rectum of young men.The presence of abundant whitish exudate under endoscopy is differential diagnostic value.Complete endoscopic resection followed by pathological examination is required for definitive diagnosis.

Objective:A prognosis prediction model for pancreatic cancer was constructed based on multi-scale radiomics combined with deep learning, and the prediction effect of the model was evaluated.Methods:A retrospective analysis was conducted on the clinical data of 215 patients who underwent radical resection of pancreatic cancer at the First Affiliated Hospital of Naval Medical University from January 2017 to December 2017. Among them, 134 were male and 81 were female, with an age of (61.9±9.2) years. Patients were randomly divided into the training set ( n=151) and the test set ( n=64) in a ratio of 7: 3. Habitat features, peritumoral radiomics features, 3D radiomics features, and 2.5D deep learning features were extracted from preoperative CT images respectively. After feature screening, a survival prediction model was constructed using the CoxBoost machine learning algorithm that integrated the Boosting algorithm and the Cox proportional hazards model. The performance of the model was evaluated using the area under the time-dependent receiver operating characteristic curve and the consistency index. The clinical benefits of the model were evaluated using decision curve analysis. The survival curves were plotted using the Kaplan-Meier method, and the log-rank test was used for the comparison of survivals between groups. Results:The LASSO, random forest and extreme gradient boosting models were each used to screen out the top 10 most important features and take the union, ultimately obtaining 20 radiomics features for modeling. In the training set and test set, the consistency index of the CoxBoost model in predicting overall survival was 0.717 (95% CI: 0.669-0.765) and 0.688 (95% CI: 0.610-0.766), respectively, and the area under the curve for predicting overall survival at 1, 2, and 3 years after surgery was 0.830 (95% CI: 0.752-0.898), 0.753 (95% CI: 0.665-0.833), 0.828 (95% CI: 0.735-0.908) and 0.690 (95% CI: 0.549-0.824), 0.780 (95% CI: 0.649-0.887 and 0.793 (95% CI: 0.660-0.897), respectively. The area under the curve for predicting long-term survival after surgery (≥40 months) was above 0.8. Based on the optimal cutoff value of -0.19 for the predicted value of the CoxBoost model calculated by the R package " survminer", the patients were divided into high-risk (predicted value >-0.19) and low-risk (predicted value <-0.19) groups. In both the training set and the test set, the survival of patients in the low-risk group was better than that in the high-risk group (training set: χ2=39.01, P<0.001; test set: χ2=12.34, P<0.001). The median survival period of patients in the high-risk group was lower than that in the low-risk group (training set: 15.80 vs 34.07 months; test set: 16.87 vs 43.07; months). Decision curve analysis shows that patients obtain survival benefit when the threshold probability of the training set is greater than 0.25 and that of the test set is greater than 0.45. Conclusion:The CoxBoost model has a good predictive ability for the overall survival of pancreatic cancer patients after surgery and can effectively screen out patient subgroups that may significantly benefit from surgical treatment.

Objective:To investigate the impact of tumor origin (ventral pancreatic origin and dorsal pancreatic origin) on prognosis in patients with pancreatic head cancer.Methods:A retrospective analysis was performed on the clinical data of 150 patients with pancreatic head cancer who received surgical treatment at the First Affiliated Hospital of the Naval Medical University from October 2014 to December 2017. Among these patients, 92 were male and 58 were female, aged (61.2±8.8) years. The 150 patients were divided into two groups based on tumor origin: the ventral pancreatic cancer group ( n=72) and the dorsal pancreatic cancer group ( n=78). A comparative analysis of clinical, pathological, and imaging charac-teristics was conducted between the two groups. Univariate and multivariable Cox proportional hazards models were used to analyze the association between pancreatic head cancer origin and overall survival (OS). Results:Patients with pancreatic head carcinoma arising from the ventral and dorsal pancreas accounted for 48%(72/150) and 52%(78/150) of the study cohort, respectively. Pancreatic head carcinoma arising from the dorsal pancreas were more likely to show pathological features of pancreatic parenchymal atrophy [73.1%(57/78) vs. 47.2%(34/72), χ2=10.49, P=0.001] and pancreatitis [44.9%(35/78) vs. 29.2%(21/72), χ2=3.95, P=0.047]. In contrast, patients with pancreatic head carcinoma arising from the ventral pancreas was more frequently associated with contact with the superior mesenteric artery [25.0%(18/72) vs. 1.3%(1/78), χ2=19.04, P<0.001], perineural invasion [100%(72/72) vs. 88.5%(69/78), χ2=8.84, P=0.003], and positive surgical margins [15.3%(11/72) vs. 2.6%(2/78), χ2=7.65, P=0.006], with all differences statistically significant. The ventral pancreatic cancer group demonstrated cumulative survival rates of 33.2% and 0 at 1-year and 2-year postoperative intervals, respectively, while the dorsal pancreatic cancer group exhibited rates of 56.7% and 24.8% at the corresponding timepoints. Comparison of Kaplan-Meier survival curves between the two groups showed a statistically significant difference ( χ2=6.00, P=0.014). Multivariable Cox proportional hazards analysis identified dorsal pancreatic origin pancreatic head cancer as an independent predictor of increased mortality risk compared to ventral origin tumors ( HR=2.75, 95% CI: 1.52-4.98, P=0.001). Conclusion:The embryonic origin of pancreatic head cancer determines its clinical, pathological, and imaging heterogeneity, and pancreatic head cancer arising from the ventral pancreas demonstrates significantly worse prognostic outcomes compared to dorsal pancreatic origin.

Objective:To investigate the impact of tumor origin (ventral pancreatic origin and dorsal pancreatic origin) on prognosis in patients with pancreatic head cancer.Methods:A retrospective analysis was performed on the clinical data of 150 patients with pancreatic head cancer who received surgical treatment at the First Affiliated Hospital of the Naval Medical University from October 2014 to December 2017. Among these patients, 92 were male and 58 were female, aged (61.2±8.8) years. The 150 patients were divided into two groups based on tumor origin: the ventral pancreatic cancer group ( n=72) and the dorsal pancreatic cancer group ( n=78). A comparative analysis of clinical, pathological, and imaging charac-teristics was conducted between the two groups. Univariate and multivariable Cox proportional hazards models were used to analyze the association between pancreatic head cancer origin and overall survival (OS). Results:Patients with pancreatic head carcinoma arising from the ventral and dorsal pancreas accounted for 48%(72/150) and 52%(78/150) of the study cohort, respectively. Pancreatic head carcinoma arising from the dorsal pancreas were more likely to show pathological features of pancreatic parenchymal atrophy [73.1%(57/78) vs. 47.2%(34/72), χ2=10.49, P=0.001] and pancreatitis [44.9%(35/78) vs. 29.2%(21/72), χ2=3.95, P=0.047]. In contrast, patients with pancreatic head carcinoma arising from the ventral pancreas was more frequently associated with contact with the superior mesenteric artery [25.0%(18/72) vs. 1.3%(1/78), χ2=19.04, P<0.001], perineural invasion [100%(72/72) vs. 88.5%(69/78), χ2=8.84, P=0.003], and positive surgical margins [15.3%(11/72) vs. 2.6%(2/78), χ2=7.65, P=0.006], with all differences statistically significant. The ventral pancreatic cancer group demonstrated cumulative survival rates of 33.2% and 0 at 1-year and 2-year postoperative intervals, respectively, while the dorsal pancreatic cancer group exhibited rates of 56.7% and 24.8% at the corresponding timepoints. Comparison of Kaplan-Meier survival curves between the two groups showed a statistically significant difference ( χ2=6.00, P=0.014). Multivariable Cox proportional hazards analysis identified dorsal pancreatic origin pancreatic head cancer as an independent predictor of increased mortality risk compared to ventral origin tumors ( HR=2.75, 95% CI: 1.52-4.98, P=0.001). Conclusion:The embryonic origin of pancreatic head cancer determines its clinical, pathological, and imaging heterogeneity, and pancreatic head cancer arising from the ventral pancreas demonstrates significantly worse prognostic outcomes compared to dorsal pancreatic origin.

Objective:A prognosis prediction model for pancreatic cancer was constructed based on multi-scale radiomics combined with deep learning, and the prediction effect of the model was evaluated.Methods:A retrospective analysis was conducted on the clinical data of 215 patients who underwent radical resection of pancreatic cancer at the First Affiliated Hospital of Naval Medical University from January 2017 to December 2017. Among them, 134 were male and 81 were female, with an age of (61.9±9.2) years. Patients were randomly divided into the training set ( n=151) and the test set ( n=64) in a ratio of 7: 3. Habitat features, peritumoral radiomics features, 3D radiomics features, and 2.5D deep learning features were extracted from preoperative CT images respectively. After feature screening, a survival prediction model was constructed using the CoxBoost machine learning algorithm that integrated the Boosting algorithm and the Cox proportional hazards model. The performance of the model was evaluated using the area under the time-dependent receiver operating characteristic curve and the consistency index. The clinical benefits of the model were evaluated using decision curve analysis. The survival curves were plotted using the Kaplan-Meier method, and the log-rank test was used for the comparison of survivals between groups. Results:The LASSO, random forest and extreme gradient boosting models were each used to screen out the top 10 most important features and take the union, ultimately obtaining 20 radiomics features for modeling. In the training set and test set, the consistency index of the CoxBoost model in predicting overall survival was 0.717 (95% CI: 0.669-0.765) and 0.688 (95% CI: 0.610-0.766), respectively, and the area under the curve for predicting overall survival at 1, 2, and 3 years after surgery was 0.830 (95% CI: 0.752-0.898), 0.753 (95% CI: 0.665-0.833), 0.828 (95% CI: 0.735-0.908) and 0.690 (95% CI: 0.549-0.824), 0.780 (95% CI: 0.649-0.887 and 0.793 (95% CI: 0.660-0.897), respectively. The area under the curve for predicting long-term survival after surgery (≥40 months) was above 0.8. Based on the optimal cutoff value of -0.19 for the predicted value of the CoxBoost model calculated by the R package " survminer", the patients were divided into high-risk (predicted value >-0.19) and low-risk (predicted value <-0.19) groups. In both the training set and the test set, the survival of patients in the low-risk group was better than that in the high-risk group (training set: χ2=39.01, P<0.001; test set: χ2=12.34, P<0.001). The median survival period of patients in the high-risk group was lower than that in the low-risk group (training set: 15.80 vs 34.07 months; test set: 16.87 vs 43.07; months). Decision curve analysis shows that patients obtain survival benefit when the threshold probability of the training set is greater than 0.25 and that of the test set is greater than 0.45. Conclusion:The CoxBoost model has a good predictive ability for the overall survival of pancreatic cancer patients after surgery and can effectively screen out patient subgroups that may significantly benefit from surgical treatment.