Robot-assisted surgery with its advantages such as three-dimensional high-definition vision, dexterous robotic arms, and tremor filtration, is increasingly being applied to complex radical gastrectomy. However, the role of the surgical assistant remains crucial during the procedure. The assistant is responsible for tasks outside the console, including adjusting robotic arms, changing instruments, exposing the surgical field, and addressing unexpected situations. The technical proficiency of the assistant and their collaboration efficiency with the primary surgeon directly impact the smoothness of surgery and patients' outcomes. With the expansion of robot-assisted surgical indications, the establishment of a standardized training system and the optimization of team collaboration models have become urgent challenges to address. This article draws on the author's practical experience as an assistant in robot-assisted gastric cancer surgeries, conducting an in-depth analysis of the responsibilities and operational skills of surgical assistants in robot-assisted procedures. The aim is to develop a relatively comprehensive set of operational guidelines for surgical assistants in robot-assisted radical gastrectomy, providing valuable references for enhancing the overall efficiency of surgical teams and improving surgical outcomes.

Party affairs cadres in public hospitals play a significant role in promoting high-quality development within hospitals.Their competence and quality directly influence the level of Party construction work in public hospitals and affect the comprehensive development of hospitals.They also serve as an important window for the Party to connect with and serve the peo-ple.Based on competency theory,this study selects Party affairs cadres in public hospitals as the research subjects.Through lit-erature review and interviews,competency elements are summarized,and a competency model for Party affairs cadres in public hospitals is constructed.From four dimensions-innovating selection and training mechanisms,developing career planning and mentorship systems,strengthening performance management and incentive mechanisms,and fostering a learning-oriented organi-zational atmosphere-this study proposes innovative strategies for building a team of Party affairs cadres in public hospitals.

Objective To explore the effective substances that specifically bind to RSV-F protein in the water extract of Forsythia suspensa,and verify its effect.Methods Surface plasmon resonance(SPR)affinity fishing technology was used to enrich,regenerate and recover the active components that specifically bind to RSV-F protein in the water extract of Forsythia suspensa.The recovered samples were analyzed and identified by UHPLC-MS/MS,and the active components that stably bind to F protein were screened by molecular docking,molecular dynamics simulation and SPR affinity detection,and then returned to animal experiments for pharmacodynamics verification.BALB/c mice were randomly divided into normal group,model group,positive control group,protocatechuic acid group and verbascoside group.In the experimental group,RSV was dripped into the nose to make models.Each drug group began to be given intragastric intervention on the day of modeling,and samples were taken after 4 days.HE staining was used to observe the pathological changes of lung tissue,and ELISA was used to detect the changes of inflammatory factors in lung tissue.Results A variety of active components in the aqueous extract of Forsythia suspensa could bind to RSV-F protein,among which the results of verbascoside and protocatechuic acid were more stable.In vivo pharmacodynamics experiments showed that the lung tissue of the model group had obvious pathological changes and the level of inflammatory factors increased,and the pathological state was improved after the intervention of verbascoside and protocatechuic acid compared with the normal group.Conclusion Forsythia suspensa can interfere with the expression of RSV-F protein through many active components such as verbascoside and protocatechuic acid,which may be the material basis of its anti-RSV.

TAFRO syndrome is an idiopathic systemic inflammatory disease that overlaps with idiopathic multicentric Castleman disease (iMCD). The clinical features of TAFRO syndrome include thrombocytopenia (T), anasarca (A), fever (F), reticulin fibrosis/renal insufficiency (R) and organomegaly (O). The paper reports a special clinical subtype of iMCD—TAFRO syndrome in a patient, manifested as multiple-system involvement including serous effusion (ascites), fever, thrombocytopenia, anemia, multiple lymphadenopathies, pancreatitis and renal insufficiency. Bone marrow biopsy pathology showed active bone marrow hyperplasia. Renal biopsy revealed renal thrombotic microangiopathy, acute renal tubular interstitial injury combined with chronic lesions. Lymph node biopsy demonstrated lymphoproliferative lesions consistent with Castleman disease (hyaline vascular type). Following diagnosis, glucocorticoids, tacrolimus, rituximab and lenalidomide were administered, resulting in significant symptomatic improvement: ascites disappeared, and urinary findings, erythrocyte counts, renal function and hematological indexes normalized. The paper describes the patient's clinical manifestations, diagnosis and treatment process, and prognosis, and reviews relevant literature, to improve clinicians' understanding of this rare disease.

Objective To explore the effective substances that specifically bind to RSV-F protein in the water extract of Forsythia suspensa,and verify its effect.Methods Surface plasmon resonance(SPR)affinity fishing technology was used to enrich,regenerate and recover the active components that specifically bind to RSV-F protein in the water extract of Forsythia suspensa.The recovered samples were analyzed and identified by UHPLC-MS/MS,and the active components that stably bind to F protein were screened by molecular docking,molecular dynamics simulation and SPR affinity detection,and then returned to animal experiments for pharmacodynamics verification.BALB/c mice were randomly divided into normal group,model group,positive control group,protocatechuic acid group and verbascoside group.In the experimental group,RSV was dripped into the nose to make models.Each drug group began to be given intragastric intervention on the day of modeling,and samples were taken after 4 days.HE staining was used to observe the pathological changes of lung tissue,and ELISA was used to detect the changes of inflammatory factors in lung tissue.Results A variety of active components in the aqueous extract of Forsythia suspensa could bind to RSV-F protein,among which the results of verbascoside and protocatechuic acid were more stable.In vivo pharmacodynamics experiments showed that the lung tissue of the model group had obvious pathological changes and the level of inflammatory factors increased,and the pathological state was improved after the intervention of verbascoside and protocatechuic acid compared with the normal group.Conclusion Forsythia suspensa can interfere with the expression of RSV-F protein through many active components such as verbascoside and protocatechuic acid,which may be the material basis of its anti-RSV.

Robot-assisted surgery with its advantages such as three-dimensional high-definition vision, dexterous robotic arms, and tremor filtration, is increasingly being applied to complex radical gastrectomy. However, the role of the surgical assistant remains crucial during the procedure. The assistant is responsible for tasks outside the console, including adjusting robotic arms, changing instruments, exposing the surgical field, and addressing unexpected situations. The technical proficiency of the assistant and their collaboration efficiency with the primary surgeon directly impact the smoothness of surgery and patients' outcomes. With the expansion of robot-assisted surgical indications, the establishment of a standardized training system and the optimization of team collaboration models have become urgent challenges to address. This article draws on the author's practical experience as an assistant in robot-assisted gastric cancer surgeries, conducting an in-depth analysis of the responsibilities and operational skills of surgical assistants in robot-assisted procedures. The aim is to develop a relatively comprehensive set of operational guidelines for surgical assistants in robot-assisted radical gastrectomy, providing valuable references for enhancing the overall efficiency of surgical teams and improving surgical outcomes.

Purpose: Neuroendocrine prostate cancer (NEPC) represents a particularly aggressive subtype of prostate cancer with a challenging prognosis. The purpose of this investigation is to craft and confirm the reliability of nomograms that can accurately forecast the 1-, 3-, and 5-year overall survival (OS) and cancer-specific survival (CSS) rates for individuals afflicted with NEPC. Materials and Methods: Data pertaining to patients diagnosed with NEPC within the timeframe of 2010 to 2020 was meticulously gathered and examined from the Surveillance, Epidemiology, and End Results Program (SEER). To predict OS and CSS, we devised and authenticated two distinct nomograms, utilizing predictive variables pinpointed through both univariate and multivariate Cox regression analyses. Results: The study encompassed 393 of NEPC patients, who were systematically divided into training and validation cohorts at a 2:1 ratio. Key prognostic factors were isolated, verified, and integrated into the respective nomograms for OS and CSS. The performance metrics, denoted by C-indices, stood at 0.730, 0.735 for the training set, and 0.784, 0.756 for the validation set. The precision and clinical relevance of the nomograms were further corroborated by the analysis of receiver operating characteristic curves, calibration plots, and decision curve analyses. Conclusions The constructed nomograms have demonstrated impressive efficacy in forecasting the 1-, 3-, and 5-year OS and rates for patients with NEPC. Implementing these predictive tools in clinical settings is anticipated to considerably enhance the care and treatment planning for individuals diagnosed with this aggressive form of prostate cancer, thus providing tailored and more precise prognostic assessments.

Purpose: Neuroendocrine prostate cancer (NEPC) represents a particularly aggressive subtype of prostate cancer with a challenging prognosis. The purpose of this investigation is to craft and confirm the reliability of nomograms that can accurately forecast the 1-, 3-, and 5-year overall survival (OS) and cancer-specific survival (CSS) rates for individuals afflicted with NEPC. Materials and Methods: Data pertaining to patients diagnosed with NEPC within the timeframe of 2010 to 2020 was meticulously gathered and examined from the Surveillance, Epidemiology, and End Results Program (SEER). To predict OS and CSS, we devised and authenticated two distinct nomograms, utilizing predictive variables pinpointed through both univariate and multivariate Cox regression analyses. Results: The study encompassed 393 of NEPC patients, who were systematically divided into training and validation cohorts at a 2:1 ratio. Key prognostic factors were isolated, verified, and integrated into the respective nomograms for OS and CSS. The performance metrics, denoted by C-indices, stood at 0.730, 0.735 for the training set, and 0.784, 0.756 for the validation set. The precision and clinical relevance of the nomograms were further corroborated by the analysis of receiver operating characteristic curves, calibration plots, and decision curve analyses. Conclusions The constructed nomograms have demonstrated impressive efficacy in forecasting the 1-, 3-, and 5-year OS and rates for patients with NEPC. Implementing these predictive tools in clinical settings is anticipated to considerably enhance the care and treatment planning for individuals diagnosed with this aggressive form of prostate cancer, thus providing tailored and more precise prognostic assessments.

Purpose: Neuroendocrine prostate cancer (NEPC) represents a particularly aggressive subtype of prostate cancer with a challenging prognosis. The purpose of this investigation is to craft and confirm the reliability of nomograms that can accurately forecast the 1-, 3-, and 5-year overall survival (OS) and cancer-specific survival (CSS) rates for individuals afflicted with NEPC. Materials and Methods: Data pertaining to patients diagnosed with NEPC within the timeframe of 2010 to 2020 was meticulously gathered and examined from the Surveillance, Epidemiology, and End Results Program (SEER). To predict OS and CSS, we devised and authenticated two distinct nomograms, utilizing predictive variables pinpointed through both univariate and multivariate Cox regression analyses. Results: The study encompassed 393 of NEPC patients, who were systematically divided into training and validation cohorts at a 2:1 ratio. Key prognostic factors were isolated, verified, and integrated into the respective nomograms for OS and CSS. The performance metrics, denoted by C-indices, stood at 0.730, 0.735 for the training set, and 0.784, 0.756 for the validation set. The precision and clinical relevance of the nomograms were further corroborated by the analysis of receiver operating characteristic curves, calibration plots, and decision curve analyses. Conclusions The constructed nomograms have demonstrated impressive efficacy in forecasting the 1-, 3-, and 5-year OS and rates for patients with NEPC. Implementing these predictive tools in clinical settings is anticipated to considerably enhance the care and treatment planning for individuals diagnosed with this aggressive form of prostate cancer, thus providing tailored and more precise prognostic assessments.

Purpose: Neuroendocrine prostate cancer (NEPC) represents a particularly aggressive subtype of prostate cancer with a challenging prognosis. The purpose of this investigation is to craft and confirm the reliability of nomograms that can accurately forecast the 1-, 3-, and 5-year overall survival (OS) and cancer-specific survival (CSS) rates for individuals afflicted with NEPC. Materials and Methods: Data pertaining to patients diagnosed with NEPC within the timeframe of 2010 to 2020 was meticulously gathered and examined from the Surveillance, Epidemiology, and End Results Program (SEER). To predict OS and CSS, we devised and authenticated two distinct nomograms, utilizing predictive variables pinpointed through both univariate and multivariate Cox regression analyses. Results: The study encompassed 393 of NEPC patients, who were systematically divided into training and validation cohorts at a 2:1 ratio. Key prognostic factors were isolated, verified, and integrated into the respective nomograms for OS and CSS. The performance metrics, denoted by C-indices, stood at 0.730, 0.735 for the training set, and 0.784, 0.756 for the validation set. The precision and clinical relevance of the nomograms were further corroborated by the analysis of receiver operating characteristic curves, calibration plots, and decision curve analyses. Conclusions The constructed nomograms have demonstrated impressive efficacy in forecasting the 1-, 3-, and 5-year OS and rates for patients with NEPC. Implementing these predictive tools in clinical settings is anticipated to considerably enhance the care and treatment planning for individuals diagnosed with this aggressive form of prostate cancer, thus providing tailored and more precise prognostic assessments.