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.

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.

Traditional Chinese medicine(TCM)has rich experience in the diagnosis and treatment of epidemics,but the basic con-cepts and diagnosis and treatment strategies of TCM for epidemics have not yet formed a common understanding.This paper preliminar-ily constructs a diagnosis and treatment system of TCM epidemics from the perspective of"type differentiation-stage differentiation-syndrome differentiation"by combing the basic concepts of the etiology,pathogenesis,and identification of epidemics,taking state-target differentiation and treatment as the general principle.First,the epidemics are divided into five types:cold epidemics,warm epi-demics,cold-damp epidemics,damp epidemics,and miscellaneous epidemics;then,according to the overall course of the epidemics,they are divided into four stages:"initial stage-peak stage-extreme stage-relapse stage",the initial stage is the stage of exterior syn-dromes,the peak stage is the stage of heat peak,the extreme stage is the stage of internal closure and external loss,and the relapse stage is the stage of recovery of the healthy qi and retreat of the evil qi;finally,on the basis of staging,combined with the syndrome char-acteristics of various epidemics(five types of background diseases)at different stages,the syndromes are divided demonstratively.Through the construction of a modern diagnosis and treatment system of TCM epidemics,the basic theoretical concepts and basic diag-nosis and treatment strategies of epidemics can be clarified,various new and emerging infectious diseases can be actively responded to,and a diagnosis and treatment plan for a new and emerging infectious disease can be quickly constructed.

Paraplegia caused by spinal cord injury is a serious neurological complication, for which surgery is currently the main treatment method. Due to different surgical approaches, patients are usually expected to maintain a passive prone position for a long time or switch between the supine and prone positions. Affected by multiple factors such as neurogenic sensory disorders, pathological changes in muscle tone and operative duration, the risk of intraoperative acquired pressure injury (IAPI) is significantly increased. Current clinical prevention strategies for IAPI in these patients predominantly focus on localized pressure relief during positioning, lacking systematic, standardized comprehensive prevention protocols or evidence-based guidelines. To address it, Department of Nursing, Orthopedics Branch, China International Exchange and Promotive Association for Medical and Health Care, Spinal Trauma Professional Committee, Orthopedics Branch, Chinese Medical Doctor Association, Nursing Group of Spine and Spinal Cord Professional Committee of Chinese Association of Rehabilitation Medicine organized experts in relevant fields to formulate Guideline for the prevention of intraoperative acquired pressure injury in paraplegic patients with spinal cord injury ( version 2025), based on evidence-based medical evidence and latest research results and clinical practice at home and abroad. Eleven recommendations were put forward from the aspects of preoperative risk assessment, intraoperative prevention strategies, postoperative handover and monitoring, and supportive mechanisms for IAPI prevention, aiming to standardize the prevention measures and management strategies of IAPI in paraplegic patients with spinal cord injury and accelerate the recovery of patients and improve the therapeutic effect.

Objective To explore the association between the controlling nutritional status(CONUT)score and diabetic retinopathy(DR),and analyze gender differences in this relationship among type 2 diabetes mellitus(T2DM)patients,assessing the clinical appli-cation value of the CONUT score as a tool for evaluating nutritional status in DR.Methods A retrospective analysis was conducted on the clinical data of 1526 patients with T2DM admitted to the First Affiliated Hospital of Yangtze University from January 2022 to September 2024.The patients were categorized into the DR group(n=587)and the non-DR group(n=939)based on the presence of DR.Clini-cal data such as gender,age,educational level,and laboratory parameters were collected,and CONUT scores were calculated.Multivari-ate Logistic regression model and restricted cubic splines(RCS)were employed to assess the relationship between CONUT scores and DR,with stratified and subgroup analyses performed based on gender.Results A significant positive association was found between CONUT scores and the risk of DR.After adjusting for all covariates,higher CONUT scores were significantly associated with an increased risk of DR in male patients(OR=1.215,95％CI:1.030-1.438).The RCS results indicated a linear positive association between CONUT scores and the risk of DR in the general population(Pnonlinear=0.247)and males(Pnonlinear=0.466).Subgroup analysis revealed that the effect of CONUT scores on the risk of DR risk was more pronounced in male patients who were under 60 years of age,had a high school ed-ucation,did not have cardiovascular disease,had a body mass index below 25kg/m2,and were not using hypoglycemic agents.Conclusion The CONUT score effectively assesses the risk of DR in male T2DM patients,demonstrating its application value in clinical practice.

Traditional Chinese medicine(TCM)has rich experience in the diagnosis and treatment of epidemics,but the basic con-cepts and diagnosis and treatment strategies of TCM for epidemics have not yet formed a common understanding.This paper preliminar-ily constructs a diagnosis and treatment system of TCM epidemics from the perspective of"type differentiation-stage differentiation-syndrome differentiation"by combing the basic concepts of the etiology,pathogenesis,and identification of epidemics,taking state-target differentiation and treatment as the general principle.First,the epidemics are divided into five types:cold epidemics,warm epi-demics,cold-damp epidemics,damp epidemics,and miscellaneous epidemics;then,according to the overall course of the epidemics,they are divided into four stages:"initial stage-peak stage-extreme stage-relapse stage",the initial stage is the stage of exterior syn-dromes,the peak stage is the stage of heat peak,the extreme stage is the stage of internal closure and external loss,and the relapse stage is the stage of recovery of the healthy qi and retreat of the evil qi;finally,on the basis of staging,combined with the syndrome char-acteristics of various epidemics(five types of background diseases)at different stages,the syndromes are divided demonstratively.Through the construction of a modern diagnosis and treatment system of TCM epidemics,the basic theoretical concepts and basic diag-nosis and treatment strategies of epidemics can be clarified,various new and emerging infectious diseases can be actively responded to,and a diagnosis and treatment plan for a new and emerging infectious disease can be quickly constructed.

Objective To explore the association between the controlling nutritional status(CONUT)score and diabetic retinopathy(DR),and analyze gender differences in this relationship among type 2 diabetes mellitus(T2DM)patients,assessing the clinical appli-cation value of the CONUT score as a tool for evaluating nutritional status in DR.Methods A retrospective analysis was conducted on the clinical data of 1526 patients with T2DM admitted to the First Affiliated Hospital of Yangtze University from January 2022 to September 2024.The patients were categorized into the DR group(n=587)and the non-DR group(n=939)based on the presence of DR.Clini-cal data such as gender,age,educational level,and laboratory parameters were collected,and CONUT scores were calculated.Multivari-ate Logistic regression model and restricted cubic splines(RCS)were employed to assess the relationship between CONUT scores and DR,with stratified and subgroup analyses performed based on gender.Results A significant positive association was found between CONUT scores and the risk of DR.After adjusting for all covariates,higher CONUT scores were significantly associated with an increased risk of DR in male patients(OR=1.215,95％CI:1.030-1.438).The RCS results indicated a linear positive association between CONUT scores and the risk of DR in the general population(Pnonlinear=0.247)and males(Pnonlinear=0.466).Subgroup analysis revealed that the effect of CONUT scores on the risk of DR risk was more pronounced in male patients who were under 60 years of age,had a high school ed-ucation,did not have cardiovascular disease,had a body mass index below 25kg/m2,and were not using hypoglycemic agents.Conclusion The CONUT score effectively assesses the risk of DR in male T2DM patients,demonstrating its application value in clinical practice.