ObjectiveTo investigate the present situation of input, output, outcome and impact of all registered community-based rehabilitation stations in Inner Mongolia in China, and analyze how the input predict the output, outcome and impact. MethodsFrom March 1st to April 30th, 2025, a questionnaire survey was conducted on all registered community-based rehabilitation stations in Inner Mongolia, covering four dimensions: input, output, outcome and impact. A total of 1 365 questionnaires were distributed. The input included four items: laws and policies, human resources, equipment and facilities, and rehabilitation information management. The output included two items: technical paths and benefits/effectiveness. The outcome included three items: coverage rates, rehabilitation interventions and functional results. The impact included two items: health and sustainability. Each item contained several questions, all of which were described in a positive way. Each question was scored from one to five. A lower score indicated that the situation of the community-based rehabilitation station was more in line with the content described in the question. Regression analysis was performed using the total score of each item of input dimension as independent variables, and the total scores of the output, outcome and impact dimensions as dependent variables. ResultsA total of 1 262 valid questionnaires were collected. The mean values of input, output, outcome and impact of community-based rehabilitation stations were 1.827 to 1.904, with coefficient of variation of 45.892% to 49.239%. The regression analysis showed that, rehabilitation information management, human resources, and laws and policies significantly predicted the output dimension (R² = 0.910, P < 0.001). Meanwhile, all four items in the input dimension predicted both the outcome (R² = 0.850, P < 0.001) and impact dimensions (R² = 0.833, P < 0.001). ConclusionInput, output, outcome and impact of the community-based rehabilitation stations in Inner Mongolia were generally in line with the content of the questions, although some imbalances were observed. Additionally, the input of community-based rehabilitation stations could significantly predict their output, outcome and impact.

Objective To investigate the effects of clesmatine on the myelination and neural oscillation-related firing activities during sleep in the hippocampus of adult APP/PS1 mice.Methods Oral administration of clemastine in drinking water was given to APP/PS1 mice for 3 months to enhance myelination in adulthood.Based on the treatment regimens,the mice were randomly assigned into APP/PS1 group,APP/PS1+clemastine group,and wild-type(WT)group.Local field potentials combined with three-dimensional acceleration of the head and neck were employed to determine the brain states,that is,wakefulness,non-rapid eye movement(NREM)sleep,REM sleep.In vivo multi-electrode arrays were utilized to continuously monitor neuronal firing activities in the dorsal hippocampus across the 3 sleep states.Results ① Oral clemastine administration via drinking water significantly increased MBP+protein expression levels in APP/PS1+Clemastine mice than the APP/PS1 controls(P<0.001).② Clemastine administration did not alter the time proportions of NREM sleep,REM sleep and wakefulness during the daytime phase in APP/PS1 mice(Ps>0.05).③ Clemastine administration obviously reduced the mean firing rate of hippocampal pyramidal cells(P<0.05)while increasing that of hippocampal interneurons(P<0.05)in APP/PS1 mice.④ Clemastine administration increased the occurrence rate of hippocampal sharp wave-ripple(SWR)oscillations during NREM sleep and specifically reduced the firing rate of pyramidal cells during SWR oscillations in APP/PS1 mice(P<0.05).⑤ Clemastine administration had no significant effect on the hippocampal neuronal firing activity during theta oscillation in REM sleep in APP/PS1 mice(Ps>0.05).Conclusion Clemastine administration not only enhances the adult myelination,but also rescues both the SWRs and associated hippocampal neuronal firing during NREM sleep in APP/PS1 mice.

Objective:To investigate the value of CT imaging radiomics in predicting the therapeutic effect of extracorporeal shock wave lithotripsy (ESWL) for pancreatic duct stones.Methods:The clinical data of 167 patients with pancreatic duct stones treated with ESWL in the Department of Gastroenterology, the First People's Hospital of Hangzhou, Westlake University from July 2016 to January 2023 were retrospectively analyzed. Patients were divided into complete lithotripsy group (stone diameter ≤3 mm, n=94) and incomplete lithotripsy group (stone diameter>3 mm, n=73), according to the size of the largest residual stone after the first ESWL treatment. ITK SNAP software was used to delineate the images of pancreatic duct stones, and the artificial intelligence tool kit developed by United Shadow Company was used to extract the image radiomics characteristics. The pancreatic duct stone data set was randomly assigned into the training set ( n=118) and the test set ( n=29) in the ratio of 8∶2, and the absolute maximum normalization treatment was used, followed by peacekeeping selection through the minimum absolute contraction and selection operator (Lasso) to calculate the CT image radiomics score, and the logistic regression classifier was used to construct the ESWL treatment effect prediction model of pancreatic duct stones. Receiver operating characteristic curves (ROC) were plotted, and the area under the curve (AUC) and sensitivity, specificity, and accuracy were calculated to assess the performance of the prediction model. Decision curve analysis was used to evaluate the clinical value of CT radiomics score in the diagnosis of ESWL for pancreatic duct stones. Results:A total of 2 287 imaging radiomics characteristics were extracted, and 11 optimal imaging radiomics characteristics were finally screened by Lasso regression dimensionality reduction to establish a prediction model for ESWL treatment effect of pancreatic duct stones. The AUC values of the training set and the test set were 0.89 and 0.87, respectively, and the sensitivity, specificity, and accuracy were 82% and 79%, 82% and 82%, 82% and 80%, respectively. The AUC value in the independent validation set was 0.90, and the sensitivity, specificity, and accuracy were 78%, 90%, and 85%, respectively. The results of decision curve analysis showed that when the probability of ESWL efficacy in the diagnosis of pancreatic duct stones with CT image radiomics score was >0.05, the use of CT image radiomics score in the diagnosis of ESWL efficacy in pancreatic duct stones was more beneficial to patients in clinical practice than not.Conclusions:The treatment effect of ESWL for pancreatic duct stones can be predicted by CT imaging radiomics model.

Objective To observe the value of 3D Res2Net deep learning model for predicting volume doubling time(VDT)of solid pulmonary nodule.Methods Chest CT data of 734 patients with solid pulmonary nodules were retrospectively analyzed.The patients were divided into progressive group(n=218)and non-progressive group(n=516)according to whether lung nodule volume increased by ≥25％during follow-up or not,also assigned into training set(n=515)and validation set(n=219)at a ratio of 7∶3.Then a clinical model was constructed based on clinical factors being significantly different between groups,CT features model was constructed based on features of nodules on 2D CT images using convolutional neural network,and 3D Res2Net model was constructed based on Res2Net network using 3D CT images as input.Receiver operating characteristic curve was drawn,and the area under the curve(AUC)was calculated.Taken actual VDT as gold standard,the efficacy of the above models for predicting solid pulmonary nodule'VDT≤400 days were evaluated.Results No significant difference of predicting efficacy for solid pulmonary nodule'VDT≤400 days was found among clinical model,CT feature model and 3D Res2Net model,the AUC of which was 0.689,0.698 and 0.734 in training set,0.692,0.714 and 0.721 in validation set,respectively.3D Res2Net model needed 5-7 s to predict VDT of solid pulmonary nodules,with an average time of(5.92±1.08)s.Conclusion 3D Res2Net model could be used to predict VDT of solid pulmonary nodules,which might obviously reduce manual interpreting time.

Objective To form the expert consensus on the limb management of patients with transvenous temporary cardiac pacing,standardize the limb management of patients with transvenous temporary cardiac pacing,and reduce complications related to the limb.Methods Using evidence-based methods,the evidence in this field was searched,evaluated and summarized,and relevant recommendations and research conclusions were extracted and classified by the level of evidence quality,and then the first draft of the consensus was formed.From December 2023 to January 2024,through 2 rounds of expert consultation and 4 rounds of expert meetings,the content was adjusted and the consensus was reached.Results Totally 16 experts participated in the consultation.The positive coefficient is 100%;the authoritative coefficient is 0.847 and 0.836;the average value of each index is more than＞3.8;the coefficient of variation is less than 0.21.The Kendall's harmony coefficient of the 2 rounds of expert consultation is 0.372 and 0.314,respectively,which were statistically significant.The consensus covers the preoperative,intraoperative and postoperative on limb management of patients with transvenous temporary cardiac pacing.Totally 11 themes were involved,including the preoperative preparation,position and catheter fixation in operation,position and catheter fixation in postoperative,activity,turn and transfer,duty shift on limb,nursing care after withdrawal of the catheter,prevention of deep vein thrombosis of the operative limb and prevent infection.Conclusion The consensus is highly scientific,and it is helpful to standardize the limb management of patients with transvenous temporary cardiac pacing.

Objective:To investigate the efficacy and safety of low dose S-ketamine in analgesia of elderly patients with non-traumatic acute abdomen (NTAA) in emergency department.Methods:This was a randomized controlled trail. From January to August 2021, elderly patients with NTAA in the Emergency Department of the No. 904 Hospital of the Joint Logistic Support Force were selected. Analgesia was administered intravenously with 0.3 mg/kg S-ketamine or 0.1 mg/kg morphine injection for 15 min. Visual analogue score (VAS), respiratory rate, heart rate, non-invasive blood pressure and pulse oxygen saturation were recorded at 15 min, 30 min, 60 min and 90 min. The mini-mental state examination (MMSE) scores were recorded at 90 min after injection. The incidence of salvage analgesia, incidence of adverse reactions and diagnostic accuracy after analgesia were recorded in the two groups. VAS scores and vital signs were compared between the two groups by two-way repeated measures analysis of variance, and multiple comparisons between and within groups were performed.Results:A total of 137 elderly patients with NTAA were selected and randomly divided into two groups: S-ketamine group (SK group, 68 cases) and morphine group (M group, 69 cases). After the exclusion of patients with abscission, 39 cases were included in the SK group and 45 cases in the M group. VAS score of the SK group was significantly lower than that of the M group in 15 min after administration [(3.1±1.8) vs. (4.8±2.2)], and the difference was statistically significant ( P=0.013). There were no significant differences in vital signs and MMSE score between the two groups or within the group at each time point after medication (all P>0.05). However, the incidence of dizziness in the SK group was significantly higher than that in the M group (61.54% vs. 31.11%, P=0.005). Conclusions:Intravenous administration of low dose S-ketamine is not considered to be more effective than morphine in alleviating acute abdominal pain in elderly patients with NTAA. S-ketamine provides not only satisfactory analgesia but also short recovery time and high controllability. S-ketamine is one of the recommended analgesic alternatives of NTAA for elderly patients in emergency.

Combining with advances in optogenetics and feedback control of physiological function, we have utilized self-made PPDP (preview, presentation, demonstration, promotion) teaching method to clarify how various physiological functions are regulated by the nervous system and carried out physiological innovation experiment activities. The innovative experiments aim to cultivate students' self-study capability, broaden their vision, enhance their interest in physiology, and finally promote the effect of physiological theory teaching. We herein summarize our practice of closed-loop control of innovative experimental teaching in optogenetics from the following four facets: education concept, students and teacher resources, teaching design, and teaching experience. This summary is trying to explore new experiences of promoting students' participation in teaching activities and improving the teaching quality of physiology.

Osteosarcoma is a kind of primary malignant tumor of bone originated from mesenchymal tissue, which mainly occurs in children and adolescents, and presents the characteristics of high malignancy, rapid growth, early metastasis and poor prognosis. Currently, most of the studies at home and abroad mainly focused on therapeutic procedures. However, reliable prediction indices or evaluation systems are also pivotal for monitoring disease change, guiding treatment and evaluating prognosis. Multiple clinical predictors have been reported to be related to the prognosis of osteosarcoma, which can be roughly divided into 9 categories according to their characteristics. Each kind of predictor owns its inherent advantage and disadvantage, and full understanding of them and their characteristics can be helpful to improve the prognosis of osteosarcoma.

Osteosarcoma is a kind of primary malignant tumor of bone originated from mesenchymal tissue, which mainly occurs in children and adolescents, and presents the characteristics of high malignancy, rapid growth, early metastasis and poor prognosis. Currently, most of the studies at home and abroad mainly focused on therapeutic procedures. However, reliable prediction indices or evaluation systems are also pivotal for monitoring disease change, guiding treatment and evaluating prognosis. Multiple clinical predictors have been reported to be related to the prognosis of osteosarcoma, which can be roughly divided into 9 categories according to their characteristics. Each kind of predictor owns its inherent advantage and disadvantage, and full understanding of them and their characteristics can be helpful to improve the prognosis of osteosarcoma.