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.

In order to standardize the postoperative pain management in adults in China, the Chinese Society of Anesthesiology formulated the "Clinical practice guidelines for postoperative pain management in adults (2024 edition)" according to the methods and steps of the "Principles for Formulation/Revision of Clinical Diagnosis and Treatment Guidelines in China (2022 Edition)". This protocol mainly introduced the purpose of guideline formulation, the formation and responsibilities of the working group, the collection and selection of clinical questions, the evaluation and synthesis of evidence, the formation of recommendations and other processes.

Objective:To investigate the preoperative nutritional status of cardiac surgery patients in southwest China, analyze the incidence and characteristics of nutritional risk, and provide basis for establishing a standardized individualized nutritional intervention program for cardiac surgery patients.Methods:A cross-sectional survey was conducted on the nutritional status and intervention status of preoperative patients in cardiac surgery department of 23 general hospitals in Yunnan, Guizhou, Sichuan and Chongqing districts. At 00: 00 on July 7, 2022, the patients aged > 18 years old in cardiac surgery departments of the above hospitals who planned to undergo surgical treatment were enrolled as the survey objects to investigate the nutritional status on July 6, 2022 (the survey date), including basic information (general information, nutrition indicators, etc.), nutrition screening and evaluation (nutrition risk screening and organ support, etc.), nutrition treatment (nutrition supplement methods and prescriptions, etc.) and nutrition awareness of medical staff.Results:The 126 questionnaires were collected, of which 125 were valid (99.2%). ① Basic information: of the 125 patients, 67 patients were male (53.6%) and 58 patients were female (46.4%). The age ranged from 19 years old to 86 years old, with an average of (53.13±14.74) years old. Body mass index (BMI) was (22.21±3.78) kg/m 2. The age and BMI of men were significantly higher than those of women [age (years old): 56.63±13.34 vs. 49.09±15.35, BMI (kg/m 2): 22.74±3.86 vs. 21.59±3.61, both P < 0.05]. Of the 125 patients, 75 had valvular disease and 50 were with non-valvular diseases, which mainly included congenital heart disease [19 cases (15.2%)], aortic dissection [13 cases (10.4%)], coronary heart disease [12 cases (9.6%)], etc. The course of disease was 0.5 hour to 36 years, of which 93 patients (74.4%) were more than 6 months and 32 patients (25.6%) were equal to or less than 6 months. The proportion of female patients with disease duration > 6 months was significantly higher than that of male patients [87.9% (51/58) vs. 62.7% (42/67), P < 0.01]. The basic diseases mainly included hypertension [38 cases (30.4%)], coronary heart disease [12 cases (9.6%)], diabetes [7 cases (5.6%)], chronic obstructive pulmonary disease [COPD, 6 cases (4.8%)], etc. Among 125 patients, total protein (TP) < 60 g/L in 24 cases (19.2%), albumin (Alb) < 40 g/L in 64 cases (51.2%), anemia [male hemoglobin (Hb) < 120 g/L, female Hb < 110 g/L] in 33 cases (26.4%). A total of 60 cases of prealbumin data were collected, of which 23 cases (38.3%) were less than 200 mg/L.② Nutrition screening and assessment: 33.6% of the 125 patients did not undergo routine nutrition screening after admission, including the provincial and municipal tertiary hospitals. Among the 83 patients undergoing nutritional screening, 41 (32.8%) were at nutritional risk. Further analysis of patients with nutritional risk showed that of the 41 patients, 20 were male (48.8%) and 21 were female (51.2%); 27 cases (65.9%) was with valvular diseases and 14 cases (34.1%) was with non-valvular diseases; the course of disease was more than 6 months in 30 cases (73.2%), and ≤ 6 months in 11 cases (26.7%). Statistical comparison of the above 83 patients showed that women, basic disease, long term-valvular disease, anemia, low TP, and low Alb before operation were more prone to innutrition. ③ Nutritional therapy: of the 125 patients, 5 were receiving mechanical ventilation (4.0%) and 2 were using vasoactive drugs (1.6%); there were 5 cases with gastrointestinal dysfunction (4.0%), mainly manifested as abdominal distension, abdominal pain, constipation and diarrhea. One patient was treated with enteral nutrition through gastric tube combined with parenteral nutrition support, 124 patients were fed orally, and an irregular phenomenon of injecting amino acid fat emulsion through peripheral vein in 2 patients. ④ Nutrition awareness of medical staff: 124 (99.2%) of the 125 patients had a nutrition department in their hospital; 71 cases (56.8%) received nutrition education, of which 37 cases (52.1%) were consulted by the nutrition department. Of all the cases, only 38 (30.4%) were consulted by the nutrition department, of which 1 (2.6%) did not receive nutrition education after consultation. Conclusions:At present, the incidence of preoperative malnutrition in patients undergoing cardiac surgery is high in southwest China. The incidence of malnutrition in patients with basic diseases, long term-valvular disease, low TP, low Alb and anemia before operation is higher, and the incidence of malnutrition is hidden in women. The course of disease of women is longer than that of men at the time of treatment, and malnutrition is more likely to occur. The attending physicians should pay attention to the above groups. It is necessary to establish a standardized individualized nutritional intervention program and apply it to actual clinical diagnosis and treatment, so as to ultimately improve the prognosis of patients undergoing cardiac surgery and increase the benefits of patients in treatment.