OBJECTIVE: To precise classify sacral meningeal cysts, effective guide minimally invasive neurosurgery and postoperative personalized rehabilitation by multiple dimensions radiographic reconstruction MRI. METHODS: From March to December 2021, based on the original 3D-fast imaging employing steadystate acquisition (FIESTA) scanning sequence, 92 patients with sacral meningeal cysts were pre-operatively evaluated by multiple dimensional reconstruction MRI. The shape of nerve root and the leakage of cyst were reconstructed according to the direction of nerve root or leakage track showed on original MRI scans. Sacral canal cysts were accurately classified as including nerve root and without nerve root, so as to accurately design the incision of skin and formulate corresponding open range of the posterior wall of the sacral canal. Under the microscope intraoperation, the shape of the nerve roots inside cysts or leakage track of the cysts without nerve roots were verified and explored. After the reinforcement and shaping operation, several reexaminations of multiple dimensional reconstruction MRI were performed to understand the deformation of the nerve root and hydrops in the operation cavity, so as to formulate a persona-lized rehabilitation plan for the patients. RESULTS: Among the 92 patients with sacral mengingeal cyst, 58 (63.0%) cysts with nerve root cyst, 29 (31.5%) cysts without nerve root cyst, and 5 (5.4%) cysts with mixed sacral canal cyst. In 58 patients with nerve root cysts, the accuracy of preoperative clinical classification on MRI image reached 96.6% (56/58) through confirmation by operating microscope. Only 2 cases of large single cyst with nerve root on the head of cyst were mistaken for without nerve root type. In 29 patients with sacral cyst without nerve root, the accuracy of preoperative image reached 100% through confirmation by operating microscope. The accuracy of judging the internal nerve root and leakage of 12 cases with recurrent sacral cyst was also 100%. Two cases of delayed postoperative hydrops were found one month after operation. After rehabilitation treatment by moxibustion and bathing, the hydrops disappeared 4-6 months after operation. CONCLUSION Multiple dimensional reconstruction MRI can precisely make clinical classification of sacral meningeal cysts before operation, guide minimally invasive neurosurgery effectively, and improve the rehabilitation effect.
Humans ; Magnetic Resonance Imaging/methods* ; Male ; Female ; Sacrum/surgery* ; Adult ; Middle Aged ; Imaging, Three-Dimensional/methods* ; Cysts/rehabilitation* ; Aged ; Adolescent ; Young Adult ; Spinal Nerve Roots/diagnostic imaging* ; Minimally Invasive Surgical Procedures ; Neurosurgical Procedures/methods*

The study was conducted among 120 general practitioners (GPs) in Shanghai Fengxian District from August 2022 to March 2024, the participants were randomly divided into two age-matched groups with 60 GPs in each group. The intervention group completed a 3-month SPOC (Small Private Online Course)program, including two weeks of narrative medicine theory (concepts, questioning skills, parallel medical record writing, and professionalism) followed by monthly writing practices (three parallel records per month) and group discussions. Both groups performed routine clinical tasks, while the control group received no narrative medicine training. Baseline data were collected, Jefferson Empathy Scale scores, and Doctor-Patient Communication Skills Evaluation Scale scores were evaluated pre- and post-intervention. There were no significant differences in empathy ( P>0.05) or communication skills ( P>0.05) between two groups before the intervention. Post-intervention, both groups showed improved empathy (both P<0.05) and communication skills (both P<0.05) after intervention, while the intervention group were outperforming the control group in both measures ( P<0.05). These findings suggest that SPOC-based narrative competence training effectively enhances the empathy and doctor-patient communication abilities of general practitioners.

Animal models combining disease and syndrome are important research tools to explore the nature of traditional Chinese medicine (TCM) syndromes. At present, the construction and evaluation methods of animal models have preliminarily established the foundation for standardized development. Qi-yin deficiency syndrome is a common type of TCM syndrome in cardiovascular diseases. It is an important pathogenic factor causing the onset, pathological damage, and chronic nature of cardiovascular diseases, as well as triggering other illnesses. The establishment of an animal model of cardiovascular disease with the characteristics of Qi-yin deficiency, along with an objective and standardized evaluation system, has become an important part of modern cardiovascular disease research. In recent years, research on the construction and evaluation of animal models of heart Qi-yin deficiency syndrome has increased, but the construction methods and evaluation criteria vary. Compared with other animal models, the literature is limited, lacking statistics and overall analysis. Therefore, based on the scientific connotation of heart Qi-yin deficiency syndrome, this article systematically reviews the evaluation system of its animal model, covering multidimensional methods such as macroscopic characterization assessment, physicochemical indicators and objective evaluation, and syndrome differentiation based on prescriptions. The specific model construction strategies are described, including single-factor induction methods (sleep deprivation, chronic intermittent hypoxia, arterial occlusion, high-salt feeding) and the compound-factor induction methods (sleep deprivation combined with drug method, chronic intermittent hypoxia combined with drug method, exhaustive swimming combined with drug method). Meanwhile, application examples of each model in the research are listed, the existing problems in the current model construction and evaluation are analyzed, and optimization directions are proposed, such as promoting the compound factor induction strategy and improving the objectivity of the evaluation criteria. This article aims to provide theoretical references for constructing an animal model of heart Qi-yin deficiency syndrome that conforms to TCM characteristics, and thereby laying a scientific foundation for the prevention and treatment of cardiovascular diseases with TCM.

The study was conducted among 120 general practitioners (GPs) in Shanghai Fengxian District from August 2022 to March 2024, the participants were randomly divided into two age-matched groups with 60 GPs in each group. The intervention group completed a 3-month SPOC (Small Private Online Course)program, including two weeks of narrative medicine theory (concepts, questioning skills, parallel medical record writing, and professionalism) followed by monthly writing practices (three parallel records per month) and group discussions. Both groups performed routine clinical tasks, while the control group received no narrative medicine training. Baseline data were collected, Jefferson Empathy Scale scores, and Doctor-Patient Communication Skills Evaluation Scale scores were evaluated pre- and post-intervention. There were no significant differences in empathy ( P>0.05) or communication skills ( P>0.05) between two groups before the intervention. Post-intervention, both groups showed improved empathy (both P<0.05) and communication skills (both P<0.05) after intervention, while the intervention group were outperforming the control group in both measures ( P<0.05). These findings suggest that SPOC-based narrative competence training effectively enhances the empathy and doctor-patient communication abilities of general practitioners.

Objective:To explore the prognosis of patients with gastric cancer peritoneal metastasis (PM) receiving programmed cell death-1 (PD-1) antibody therapy, and investigate the biomarkers that affect the prognosis of anti-PD-1 therapy.Methods:This restrospecific study collected the clinic-pathological data of 56 patients with peritoneal metastasis of gastric cancer who received first-line treatment in the Nanjing Drum Town Hospital from March 2020 to September 2023, among which 41 had received anti-PD-1 immunotherapy and 15 hadn't. The relationship between overall survival (OS) and anti-PD-1 immunotherapy was evaluated by Kaplan-Meier analysis. The relationship between baseline peripheral blood indicators and treatment response of patients with anti-PD-1 treatment was analyzed using unpaired t-test. Subsequently, the Cox proportional risk regression model was used to explore the clinical prognostic factors that may affect anti-PD-1 immunotherapy by univariate and multivariate analysis. The clinical prognostic factors included baseline data and baseline peripheral blood indexes such as anti-PD-1 treatment lines, Eastern Cooperative Oncology Group performance status (ECOG PS), combined positive score (CPS), expression of human epidermal growth factor receptor 2 (Her-2), EBER status, pathological types, other metastatic lesions, ascites content before immunotherapy, with or without abdominal drainage during anti-PD-1 treatment, blood lipid indicators, inflammatory indicators, and tumor indicators. Results:Kaplan-Meier survival statistics showed similar OS (15.9 vs. 15.2 months, P=0.600) in patients with anti-PD-1 therapy compared to those without anti-PD-1 therapy. Patients with baseline high-density lipoprotein (HDL) ≥0.97 mmol/L ( n=22) demonstrated a significantly longer median OS compared to those with HDL＜0.97 mmol/L (15.2 vs. 13.5 months; P=0.018). Similarly, the cohort with apolipoprotein A1 (ApoA1) levels ≥0.86 g/L ( n=21) showed superior survival outcomes, with a median OS of 17.7 months versus 12.3 months in the ApoA1＜0.86 g/L group ( n=20; P=0.006). In contrast, elevated baseline alpha-fetoprotein (AFP) levels ( n=2) were associated with markedly reduced survival (median OS: 5.7 vs. 15.2 months in normal AFP group, n=37; P=0.005). Notably, elevated pretreatment ApoA1 levels correlated with enhanced immunotherapy response ( P=0.017). Multivariate Cox regression analysis revealed that ApoA1 deficiency (≥0.86 g/L) independently predicted better OS following PD-1 antibody therapy ( HR=0.35, 95% CI: 0.12-0.98, P=0.046) in gastric cancer patients with PM. Conclusions:In our study, it is first proposed that ApoA1 could be a significant predictor of the survival advantages of immunotherapy in gastric cancer patients with PM.

Objective:To explore the prognosis of patients with gastric cancer peritoneal metastasis (PM) receiving programmed cell death-1 (PD-1) antibody therapy, and investigate the biomarkers that affect the prognosis of anti-PD-1 therapy.Methods:This restrospecific study collected the clinic-pathological data of 56 patients with peritoneal metastasis of gastric cancer who received first-line treatment in the Nanjing Drum Town Hospital from March 2020 to September 2023, among which 41 had received anti-PD-1 immunotherapy and 15 hadn't. The relationship between overall survival (OS) and anti-PD-1 immunotherapy was evaluated by Kaplan-Meier analysis. The relationship between baseline peripheral blood indicators and treatment response of patients with anti-PD-1 treatment was analyzed using unpaired t-test. Subsequently, the Cox proportional risk regression model was used to explore the clinical prognostic factors that may affect anti-PD-1 immunotherapy by univariate and multivariate analysis. The clinical prognostic factors included baseline data and baseline peripheral blood indexes such as anti-PD-1 treatment lines, Eastern Cooperative Oncology Group performance status (ECOG PS), combined positive score (CPS), expression of human epidermal growth factor receptor 2 (Her-2), EBER status, pathological types, other metastatic lesions, ascites content before immunotherapy, with or without abdominal drainage during anti-PD-1 treatment, blood lipid indicators, inflammatory indicators, and tumor indicators. Results:Kaplan-Meier survival statistics showed similar OS (15.9 vs. 15.2 months, P=0.600) in patients with anti-PD-1 therapy compared to those without anti-PD-1 therapy. Patients with baseline high-density lipoprotein (HDL) ≥0.97 mmol/L ( n=22) demonstrated a significantly longer median OS compared to those with HDL＜0.97 mmol/L (15.2 vs. 13.5 months; P=0.018). Similarly, the cohort with apolipoprotein A1 (ApoA1) levels ≥0.86 g/L ( n=21) showed superior survival outcomes, with a median OS of 17.7 months versus 12.3 months in the ApoA1＜0.86 g/L group ( n=20; P=0.006). In contrast, elevated baseline alpha-fetoprotein (AFP) levels ( n=2) were associated with markedly reduced survival (median OS: 5.7 vs. 15.2 months in normal AFP group, n=37; P=0.005). Notably, elevated pretreatment ApoA1 levels correlated with enhanced immunotherapy response ( P=0.017). Multivariate Cox regression analysis revealed that ApoA1 deficiency (≥0.86 g/L) independently predicted better OS following PD-1 antibody therapy ( HR=0.35, 95% CI: 0.12-0.98, P=0.046) in gastric cancer patients with PM. Conclusions:In our study, it is first proposed that ApoA1 could be a significant predictor of the survival advantages of immunotherapy in gastric cancer patients with PM.

OBJECTIVES: Clear cell renal cell carcinoma (ccRCC) is the most common subtype of renal cell carcinoma (RCC), and developing personalized treatment strategies is crucial for improving patient prognosis. This study aims to develop and validate a preoperative computer tomography (CT) radiomics-based predictive model to estimate Ki-67 expression in ccRCC patients, thereby assisting in clinical treatment decisions and prognosis prediction. METHODS: A retrospective analysis was conducted on 214 ccRCC patients who underwent surgical treatment at Gansu Provincial Hospital between January 2018 and November 2023. Patients were classified into high Ki-67 expression (n=123) and low Ki-67 expression (n=91) groups based on postoperative immunohistochemical staining results. The dataset was randomly divided in a 7꞉3 ratio into a training set (n=149) and a validation set (n=65). Preoperative contrast-enhanced urinary CT images and clinical data were collected. After preprocessing, 5 mm arterial-phase CT images were manually segmented layer by layer to delineate the region of interest (ROI) using ITK-SNAP 3.8 software. Radiomic features were then extracted using the FeAture Explorer (FAE) package. Dimensionality reduction and feature selection were performed using the least absolute shrinkage and selection operator (LASSO) algorithm, yielding the optimal feature set. Three classification models were constructed using logistic regression (LR), multilayer perceptron (MLP), and support vector machine (SVM). The receiver operating characteristic (ROC) curve, area under the curve (AUC), decision curve analysis (DCA), and calibration curves were used for model evaluation. RESULTS: A total of 107 radiomic features were extracted from 5 mm arterial-phase CT images, and twenty-one features significantly associated with Ki-67 expression were selected using the LASSO algorithm. Predictive models were developed using LR, MLP, and SVM classifiers. In the training and validation sets, the AUC values for each model were 0.904 (95% CI 0.852 to 0.956) and 0.818 (95% CI 0.710 to 0.926) for the LR model, 0.859 (95% CI 0.794 to 0.923) and 0.823 (95% CI 0.716 to 0.929) for the MLP model, and 0.917 (95% CI 0.865 to 0.969) and 0.857 (95% CI 0.760 to 0.953) for the SVM model. DCA demonstrated that all models had good clinical net benefit, while calibration curves indicated high accuracy of the predictions, supporting the robustness and reliability of the models. CONCLUSIONS A CT radiomics-based model for predicting Ki-67 expression in ccRCC was successfully developed. This model provides valuable guidance for treatment planning and prognostic assessment in ccRCC patients.
Humans ; Carcinoma, Renal Cell/surgery* ; Kidney Neoplasms/surgery* ; Tomography, X-Ray Computed/methods* ; Ki-67 Antigen/metabolism* ; Retrospective Studies ; Female ; Male ; Middle Aged ; Aged ; Prognosis ; Adult ; Preoperative Period ; Radiomics

Objective:To investigate the current status of self-regulatory fatigue in patients after hematopoietic stem cell transplantation (HSCT) and analyze its influencing factors.Methods:From March 2022 to September 2023, convenience sampling was used to select 161 HSCT patients who were hospitalized and followed up in the Hematology Department of a Class Ⅲ Grade A hospital in Jinan City. A survey was conducted on patients using the General Information Questionnaire, Self-Regulatory Fatigue Scale (SRF-S), Perceived Social Support Scale, Connor and Davidson Resilience Scale, and Medical Coping Modes Questionnaire. Pearson correlation was used to analyze the correlation between self-regulatory fatigue and perceived social support, psychological resilience, and medical coping styles in patients after HSCT. Multiple linear regression was used to analyze the influencing factors of self-regulatory fatigue in patients after HSCT.Results:A total of 161 questionnaires were distributed, and 156 valid questionnaires were collected, with an effective response rate of 96.89% (156/161). The total SRF-S score of 156 patients after HSCT was (49.06±6.62). Multiple linear regression analysis showed that the current work or life status, perceived social support, psychological resilience, avoidance and surrender coping styles were the influencing factors of self-regulatory fatigue in patients after HSCT ( P<0.05) . Conclusions:After HSCT, patients generally experience self-regulatory fatigue, and psychological distress needs improvement. Medical and nursing staff should regularly evaluate the self-regulatory fatigue of patients and develop targeted intervention measures based on influencing factors to reduce the degree of self-regulatory fatigue of patients, improve their prognosis and psychological state.

Objective:To explore the different categories of home-based functional exercise adherence in patients undergoing total knee arthroplasty (TKA), identify the influencing factors, and provide a reference for the development of personalized intervention strategies.Methods:A cross-sectional study was conducted using convenience sampling to select 320 patients who underwent unilateral primary TKA at The First Affiliated Hospital of Shandong First Medical University between November 2022 and January 2023. The Orthopedic Functional Exercise Compliance Scale, Rehabilitation Self-Efficacy Scale, and Social Support Rating Scale were used for data collection. Latent profile analysis was employed to identify the latent characteristics of home-based functional exercise adherence in TKA patients. Univariate analysis and logistic regression were used to explore the influencing factors among different subgroups.Results:A total of 320 questionnaires were distributed, with 307 valid responses, yielding a recovery rate of 95.94%. The 307 patients were classified into three latent profile categories based on their characteristics: low adherence group (29.32%, 90/307), moderate adherence group (46.58%, 143/307), and high adherence group (24.10%, 74/307). Logistic regression analysis revealed that the number of comorbidities, marital status, home rehabilitation environment, pain score, education level, social support, and rehabilitation self-efficacy were influencing factors for home-based exercise adherence in TKA patients ( P< 0.05) . Conclusions:Home-based functional exercise adherence in TKA patients can be categorized into three latent profiles. Healthcare providers should implement targeted interventions based on the specific characteristics of each patient, with a focus on those with low adherence, to enhance their compliance with home-based exercises.

Objective:To summarize the experience of brain death determination under veno-arterial extracorporeal membrane oxygenation (VA-ECMO) assisted circulatory support, especially apnea test (AT) precautions, and to provide references for brain death determination in this scenario.Methods:In 78 patients who had VA-ECMO at Organ Transplant Center, Zhengzhou People's Hospital from October 2019 to December 2023, 8 organ donors had brain death determination under VA-ECMO assisted circulatory support. Baseline data, clinical data, and VA-ECMO data during AT trial were collected from these 8 patients to summarize the process of brain death determination.Results:Six of the 8 donors met the criteria of brain death; 10 EEG, 12 evoked potentials and 15 ATs were performed. Complications in ATs, including hypotension, decreased oxygenation and arrhythmia, were alleviated after timely improved VA-ECMO flow and applied cardiotonic and pressor drugs.Conclusion:AT is key for successful brain death determination in organ donors under VA-ECMO assisted circulatory support; therefore, complications should be closely monitored and managed.