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.

Aim Excessive cerebral inflammation caused by chronic alcohol intake is an important risk factor for central nervous system injury. The purpose of this study was to explore the protective effect of konjac mannan oligosaccharide (KMOS) on central nervous system inflammation in alcohol-fed mice and its mechanism. Methods The chronic alcohol fed model of C57BL/6J mice was established using Gao-binge method. And the different doses of KMOS were gavaged every day for 6 weeks. The neuronal damage and microglia activation were evaluated in cerebral cortex and hippocampus. The damage of colon tissue was assessed and serum LPS concentrations were measured. In vitro, Caco-2 cells were stimulated with LPS to establish intestinal mucosal injury model. Results Chronic alcohol intake can cause brain neuron damage in mice, and different doses of KMOS effectively reduced the activation state of microglia, decreased the expression of inflammatory factors caused by the activation of the NLRP3 inflammasome and alleviated neuronal damage in the brain tissue of alcohol-fed mice. The results of colon tissue analysis showed that the use of KMOS effectively reduced the concentration of endotoxin LPS in serum of alcohol-fed mice, alleviated the pathological injury and inflammatory response of colon tissue, and enhanced the expression of Occludin in intestinal tissue. In vitro experiments also showed that KMOS significantly inhibited the inflammatory reaction of Caco-2 cells exposed to alcohol and increased the expression of Occludin protein. Conclusions KMOS treatment effectively inhibited intestinal inflammation caused by alcohol intake, repaired intestinal barrier to prevent the entry of intestinal LPS into brain tissue, decreased the activation of microglia, and then improved brain neuron damage. KMOS had the potential to prevent alcoholic nerve injury.

Objective To quantitatively assess the influence of various factors on the pharmacokinetic parameters of propofol and to develop a propofol population pharmacokinetic model tailored for Chinese patients.Methods Thirty patients scheduled for selective abdominal surgeries received an anesthesia dose of propofol at 2.0 mg·kg-1.The concentration of propofol in collected venous blood samples was measured using liquid chromatography-tandem mass spectrometry.Polymorphisms in metabolizing enzyme genes were detected through Sanger sequencing technology.Pharmacokinetic parameters were computed,and models were constructed and evaluated using Phoenix Winnonlin software.Results Through software analysis,the drug's in vivo process was best described by a three-compartment model.The population mean values for the central compartment clearance rate(CL),shallow peripheral compartment clearance rate(Q2),deep peripheral compartment clearance rate(Q3),central compartment volume of distribution(V),shallow peripheral compartment volume of distribution(V2),and deep peripheral compartment volume of distribution(V3)were 1.71 L·min-1,1.31 L·min-1,1.51 L·min-1,5.92 L,19.86 L and 99.06 L,respectively.Body weight was identified as a significant covariate affecting CL and V,and was incorporated into the model.Conclusion The evaluation of the final model demonstrates its substantial predictive capability,offering directional guidance for the clinical administration of propofol.

One patient was admitted to a hospital due to"sepsis,chronic kidney disease,type 2 diabetes,shock,and cerebral infarction".Patient's blood specimen was taken for clinical examination.Aerobic and anaerobic culture results of catheter blood and venous blood were both positive.The pathogen was identified as Staphylococcus pas-teuri by VITEK MS,and the patient was diagnosed as catheter-related bloodstream infection caused by Staphylo-coccus pasteuri.Clinical empirical use of piperacillin for anti-infection treatment was ineffective,and vancomycin was eventually used for treatment based on in vitro antimicrobial susceptibility testing.Patient's condition improved after removing the venous catheter.There are currently no reported cases of Staphylococcus pasteuri in China.Ear-ly identification of pathogen and adjustment of treatment plans based on antimicrobial susceptibility testing results are crucial for effective treatment of this case.

Objective To investigate the application effect of grid-like locator in percutaneous transforaminal endoscopic discectomy(TESSYS)technology for lumbar disc herniation(LDH)in young adults.Methods Using a randomized controlled study method,102 young adults with LDH were included and divided into the control group and the observation group,with 51 cases in each group.Patients in the control group underwent TESSYS technology,while patients in the observation group underwent TESSYS technology with a grid-like locator.The perioperative indicators,complications,good to excellent surgical rate,the pre-and post-operative pain mediators[5-hydroxy-tryptamine(5-HT),substance P(SP)],Oswestry disability index(ODI),visual analogue scale(VAS),Cobb angle,and lumbar curvature index were compared between the two groups.Results The operation time of patients in the observation group was shorter than that of the control group,and the intraoperative blood loss and the number of intraoperative fluoroscopy were less than those of the control group(P＜0.05).The levels of serum 5-HT and SP,and VAS score 3 days after surgery in the observation group were lower than those in the control group(P＜0.05).There was no significant difference in the serum pain mediators,VAS scores,ODI scores,Cobb angles,or lumbar curvature indexes 3 months,6 months,and 12 months after surgery between the two groups(P＞0.05).There was no significant difference between the observation group and the control group in the incidence of complications(4.16％vs.10.64％),good to excellent surgical rate(89.58％vs.85.11％)12 months after surgery(P＞0.05).Conclusion The application of a grid-like locator in TESSYS technology for young adults with LDH can help to reduce the intraoperative fluoroscopy,alleviate pain symptoms,and shorten the operation time.

AIM To investigate the clinical effects of Yiqi Shengjin Prescription on patients with primary Sj?gren's syndrome due to Dual Deficiency of Qi and Yin.METHODS Ninety-two patients were randomly assigned into control group(46 cases)for 8-week intervention of conventional treatment,and observation group(46 cases)for 8-week intervention of both Yiqi Shengjin Prescription and conventional treatment.The changes in clinical effects,TCM syndrome scores,ESSDAI score,ESSPRI score,salivary flow rate,immunoinflammatory indices(ESR,hs-CRP,IgG,C3,C4),SAS score,SDS score,T lymphocytes(CD4+,CD8+,Treg,Th17)and safety indices were detected.RESULTS The observation group demonstrated higher total effective rate than the control group(P＜0.05).After the treatment,the observation group exhibited decreased TCM syndrome scores(P＜0.05),which was lower than those in the control group(P＜0.05);the two groups displayed decreased ESSDAI score,ESSPRI score,ESR,hs-CRP,IgG,SAS score,SDS score,CD8+,Th17(P＜0.05),and increased salivary flow rate,C3,C4,Treg(P＜0.05),especially for the observation group(except for CD4+)(P＜0.05).No obvious adverse reactions were observable in the two groups.CONCLUSION For the patients with primary Sjogren's syndrome due to Deficiency of Qi and Yin,Yiqi Shengjin Prescription can safely and effectively improve dry mouth and eye symptoms,and reduce inflammatory indices,whose mechanism may contribute to the regulation of T lymphocyte balance in vivo.