Objective: Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic. Methods: Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC). Results: LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models. Conclusion Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.

Objective: Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic. Methods: Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC). Results: LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models. Conclusion Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.

Objective: Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic. Methods: Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC). Results: LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models. Conclusion Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.

Objective: Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic. Methods: Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC). Results: LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models. Conclusion Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.

Objective:This multicenter retrospective study aimed to analyze the clinicopathological features of duodenal adenocarcinoma (DA) and identify prognostic factors for postoperative survival.Methods:Demographic characteristics, clinicopathological features, treatment outcomes and survival of DA patients undergoing surgical treatment at 18 Chinese medical centers from January 2012 to December 2023 were retrospectively analyzed.Results:Among the 2 056 DA patients included, 46.8% (963) had extra-ampullary DA (EA-DA), and 53.2% (1 093) had peri-ampullary DA (PA-DA). The 1-, 3-, and 5-year overall survival (OS) rates for patients who underwent radical surgery were 93.2%, 71.0%, and 57.2%, respectively. The median overall survival was 76 months, and the median progression-free survival (PFS) was 65 months. No differences in survival were observed between the laparotomy group and minimally invasive surgery (MIS) group either before or after propensity score matching (OS: 76 vs. 75 months before PSM, P=0.986; OS: 75 vs. 75 months after PSM, P=0.602). Furthermore, there were no significant differences between-group in operation time and postoperative complications ( P＞0.05). The MIS group experienced less intraoperative blood loss and shorter hospital stays. The multivariate Cox regression analysis revealed that advanced age ( HR=1.43,95% CI:1.18-1.73), elevated carbohydrate antigen 19-9 levels ( HR=1.24,95% CI:1.02-1.51), perineural invasion ( HR=1.44,95% CI:1.14-1.81), vascular invasion ( HR=1.35,95% CI:1.07-1.71), advanced T stage (T3-4 vs. T1-2: HR=1.86,95% CI:1.49-2.31), regional lymph node metastasis ( HR=1.93,95% CI:1.58-2.36), preoperative biliary drainage ( HR=1.26,95% CI:1.04-1.53), intraoperative blood loss ( HR=1.34,95% CI:1.11-1.62), clinically significant postoperative pancreatic fistulas ( HR=1.53,95% CI:1.12-2.09), and postoperative hemorrhage ( HR=1.62,95% CI:1.14-2.29) were independent risk factors for poor prognosis after surgery (all P＜0.05). Conclusions:Radical surgery is associated with favorable overall survival among DA patients, and no difference in survival is observed between EA-DA and PA-DA patients. MIS is a reliable alternative for DA treatment.

Objective:To investigate the clinical manifestation, therapy, and prognosis of Susac syndrome and enhance the understanding of this disease.Methods:A case summary was made.The clinical data of two siblings with Susac syndrome treated at Children′s Medical Center, Peking University First Hospital in January 2024 were summarized.Reported cases of pediatric Susac syndrome were reviewed.Results:The onset of the disease in the two siblings was at the age of 3.00 and 6.75 years, with recurrent headaches, tinnitus, hearing loss and encephalopathy symptoms.Cranial magnetic resonance imaging showed multiple cerebral microbleeding and microinfarction lesions, " snowball like" in the corpus callosum and diffuse white matter edema in the brain.Audiometry revealed sensorineural hearing loss.In one case, ophthalmic fluorescein angiography revealed ischemic changes due to branch retinal artery occlusions.No pathogenic variants were detected in gene testing.This child was diagnosed with Susac syndrome, and the symptoms were improved after treatment with Corticosteroids and Rituximab.No relapse was observed during the 9-month follow-up.A total of 20 pediatric cases of Susac syndrome were retrieved, including 18 reported previously and 2 cases from this study.There were 2 boys and 18 girls, with the age of onset ranging from 2.5 to 17.0 years.The common initial symptoms included headache (19 cases), vertigo and tinnitus or hearing loss (9 cases), and vision impairment or visual field defect (4 cases). The symptoms were improved after immunotherapy.Conclusions:With a low incidence, Susac syndrome is rare in children and difficult to diagnose.There may be a genetic predisposition in such disease.Early diagnosis and immunotherapy can low the relapse and improve the prognosis.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective:To investigate the clinical efficacy of programmed Retzius-sparing robot-assisted radical prostatectomy and " Sandwich" technique of total urethral reconstruction.Methods:The clinical data of 120 consecutive patients who underwent programmed Retzius-sparing robot-assisted radical prostatectomy (RS-RARP) by the same operator at the Cancer Hospital of the Chinese Academy of Medical Sciences from January 2023 to August 2024 were retrospectively analyzed to explore the efficacy and summarize the experience. Baseline characteristics included: mean age (67.2±7.5) years, BMI (25.3±3.1)kg/m 2, prostate volume (32.3±15.8) ml, and PSA (16.6±19.7) ng/ml (57 cases 4-10 ng/ml; 41 >10-20 ng/ml; 22 >20 ng/ml). 28 patients underwent radical prostatectomy without prostate biopsy, while 92 had biopsy-proven cancer (Gleason: 6/7/8/9/10: 18/35/17/17/5). Clinical stages were cT 1(8), cT 2(73), cT 3(39). The surgical method was programmed Retzius-sparing robot-assisted radical prostatectomy and " Sandwich" technique of total urethral reconstruction. The peritoneum was incised slightly above the Douglas pouch and denonvilliers' fascia was dissected closely along the dorsal aspect of prostate, extending to the prostatic apex. Both vas deferens were transected, and the seminal vesicles were isolated. A combination of blunt and sharp dissection was employed to expose the prostatic fascia. The bladder neck was precisely visualized and transected. The urethra was precisely dissected, exposed and divided. Complete urethral reconstruction was performed using the "Sandwich" technique of total urethral reconstruction. The operation time, intraoperative bleeding, catheter preservation time, pathological staging and positive margin rate, and recovery of urinary control immediately after postoperative catheter removal were recorded. Results:In this study, all 120 surgeries were successfully completed, with no cases converted to anterior approach radical surgery or open surgery, and no serious intraoperative complications such as post-shamus hemorrhage or ureteric/rectal injury. The median postoperative follow-up was 16.0(10.0, 20.0)months, and there were no cases of readmission for surgical complications. The average duration of surgery was (93.6±35.9) min, and the average bleeding volume was (85.3±32.1) ml. The mean duration of catheter after surgery was (7.3±1.2)d. Immediate urinary control was achieved in 98 cases when the catheter was removed, and the rate of immediate urinary control was 81.7%. Postoperative urinary control rate was 88.3% at 1 month after surgery, 94.2% at 3 month after surgery, 98.3% at 6 month after surgery. There were 70 cases with pT 2 and 50 cases with pT 3 after postoperative pathological stage. There were 18 cases (15.0%) with positive margins, including 6 cases (8.6%) with positive margins in T 2 and 12 cases (24.0%) with positive margins in T 3 stage. There were no serious complications after surgery, and urinary retention occurred in 3 cases after urinary catheter removal, and the urinary catheter was removed after 1 week. 93.3% (112/120), 90.8% (109/120), and 89.2% (107/120) of patients with PSA < 0.2 ng/ml at 1, 3, and 6 months after surgery, respectively. For postoperative erectile function, we selected patients younger than 60 years of age, who had surgery to preserve unilateral or bilateral vascular nerve bundles, and who were followed for more than 6 months. A total of 18 patients met the above conditions and were followed up for erectile function, among which 4 of the 11 patients (36.4%) who retained unilateral vascular nerve bundles regained erectile function. Among the 7 patients with bilateral vascular nerve bundle preservation, 3 patients (42.9%) regained erectile function. Conclusions:The programmed RS-RARP combined with the " Sandwich" urethral reconstruction technique is technically feasible for patients with localized prostate cancer. Recent follow-up data indicate satisfactory postoperative urinary continence and oncological control outcomes.

Objective Itproposes a WISN staffing demand model for clinical physicians to address the challenge that current physicians staffing standards fail to meet the operational needs of general hospitals.Methods Collect the 2023 annual operation data of a tertiary general hospital,using inpatient visits and surgeries as benchmarks to measure the workload demands of physicians in internal medicine and surgery,respectively.Additionally,integrate non-clinical workloads of physicians and the workload of resident physicians in standardized training to address the limitation of traditional models that focus solely on clinical tasks.Results The good applicability and robustness of the model in practical applications are verified through model comparison and sensitivity analysis,accurately reflecting the demand for physicians.Conclusion The model accurately reflects the workload of physicians in general hospitals,providing a quantitative estimation formula for physicians staffing.It has broad applicability and significant potential for wider adoption.

Objective:To explore the effects of multi-dimensional nursing based on empowerment theory in patients undergoing thoracoscopic and laparoscopic esophagectomy.Methods:A convenience sampling method was used to select 110 esophageal cancer patients who were admitted to Henan Provincial People's Hospital from August 2022 to April 2024. Patients were randomly divided into two groups using a random number table: the control group and the observation group, with 55 patients in each group. The control group received routine care, while the observation group received multi-dimensional nursing based on empowerment theory in addition to routine care. The two groups were compared in terms of stress responses (heart rate, systolic blood pressure, diastolic blood pressure) , self-care ability, nutritional status (hemoglobin, albumin) , and nursing satisfaction.Results:After the intervention, the observation group had lower heart rate, systolic blood pressure, and diastolic blood pressure compared to the control group, with statistically significant differences ( P<0.01) . The self-care ability score in the control group was lower than that in the observation group, with a statistically significant difference ( P<0.01) . The observation group also had higher hemoglobin and albumin levels compared to the control group, with statistically significant differences ( P<0.01) . The nursing satisfaction rate in the observation group was higher than that in the control group, with a statistically significant difference ( P<0.05) . Conclusions:Multi-dimensional nursing based on empowerment theory can effectively reduce stress responses, improve self-care ability, enhance nutritional status, and increase nursing satisfaction in esophageal cancer patients.