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.

Objective To explore the applicability of four risk assessment methods in evaluating occupational health risks associated with low-level benzene homologues exposure in key work sites within the automobile manufacturing industry. Methods The work sites (paint mixing and spray painting) with exposure to benzene homologues among six automobile manufacturing enterprises in Guangdong Province were selected as the study subjects using the judgmental sampling method. Qualitative risk assessment, exposure index method, non-carcinogenic risk assessment, and the International Council on Mining and Metals risk rating method were independently applied to evaluate the occupational health risks of benzene homologues at these work sites. Accuracy, consistency, and correlation of the four methods were compared. Results The air levels of benzene, toluene, xylene, and ethylbenzene in work sites of paint mixing and spray painting across all six enterprises met national occupational health standards. The median ratios of occupational exposure limits for benzene and toluene in spray painting site were higher than those in paint mixing site (0.017 vs 0.010, P<0.05). Using this ratio as a reference for evaluating method accuracy, the non-carcinogenic risk assessment method could distinguish paint mixing site from spray painting site in terms of risk level (P<0.05), whereas the other three methods could not (both P>0.05). The result of consistency testing revealed that the Kappa coefficients between the four methods ranged from -0.13-0.26, indicating poor consistency. The result of Spearman correlation analysis showed that the non-carcinogenic risk assessment and exposure index methods had higher correlation with occupational exposure limits ratios (Spearman correlation coefficients were 0.501 and 0.656, respectively, all P<0.05). Conclusion Occupational health risk assessment can serve as a supplementary tool to evaluate the hazard level of key work sites in the automobile manufacturing industry. Non-carcinogenic risk assessment shows higher accuracy.

Chemotherapy is currently the mainstay of systemic management for triple-negative breast cancer (TNBC), but chemoresistance significantly impacts patient outcomes. Our research indicates that Doxorubicin (Dox)-resistant TNBC cells exhibit increased glycolysis and ATP generation compared to their parental cells, with this metabolic shift contributing to chemoresistance. We discovered that ALKBH3, an m¹A demethylase enzyme, is crucial in regulating the enhanced glycolysis in Dox-resistant TNBC cells. Knocking down ALKBH3 reduced ATP generation, glucose consumption, and lactate production, implicating its involvement in mediating glycolysis. Further investigation revealed that aldolase A (ALDOA), a key enzyme in glycolysis, is a downstream target of ALKBH3. ALKBH3 regulates ALDOA mRNA stability through m¹A demethylation at the 3'-untranslated region (3'UTR). This methylation negatively affects ALDOA mRNA stability by recruiting the YTHDF2/PAN2-PAN3 complex, leading to mRNA degradation. The ALKBH3/ALDOA axis promotes Dox resistance both in vitro and in vivo. Clinical analysis demonstrated that ALKBH3 and ALDOA are upregulated in breast cancer tissues, and higher expression of these proteins is associated with reduced overall survival in TNBC patients. Our study highlights the role of the ALKBH3/ALDOA axis in contributing to Dox resistance in TNBC cells through regulation of ALDOA mRNA stability and glycolysis.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

Objective:To perform two-step clustering analysis based on urodynamics in patients with neurogenic bladder (NB) and exploring characteristics affecting success rate of sacral neuromodulation (SNM).Methods:The data of 174 NB patients who received SNM therapy in our hospital from September 2018 to August 2023, were retrospectively analysed. There were 94 males and 80 females, with average age of (50.4±17.9)years, median duration of 2 (1, 3)years, and body mass index of 21.5 (20, 25) kg/m 2. Among them, 50 patients had chronic diseases (hypertension or diabetes). Additionally, 77 patients (44.3%) presented with voiding symptoms, 47 patients (27.0%) with storage symptoms, and 50 patients (28.7%) with mixed symptoms. The etiologies included spinal cord lesions in 110 patients (63.2%), brain lesions in 21 patients (12.1%), peripheral nerve lesions in 36 patients (20.7%), and other causes in 7 patients (4.0%). All patients underwent urodynamics and SNM phase 1 test. If patient's subjective symptoms or objective indicators improved > 50%, it is defined as treatment success and feasible to received second stage of SNM. The success rate was analyzed. Clinical indicators and urodynamic parameter were collected for exploring the difference of the above indicators between two groups (with or without conversion). The 174 patients were grouped using two-step clustering analysis, dividing them into two groups. The differences in clinical data, urodynamic parameters, and the conversion rate of SNM phase II between the two groups were compared. Results:Among these patients, 126 (72%) underwent the second stage of SNM. Compared with the non-conversion group, patients in the conversion group exhibited the following characteristics: high proportion of female[51.6% (65/126) vs. 31.2% (15/48)], younger[(48.1± 18.3)year vs. (56.4±15.4) year], lower proportion of history of chronic disease[23.9% (30/126) vs. 41.7% (20/48)], storage predominant symptoms predominant[33.3% (42/126) vs. 10.4% (5/48)], sensitive bladder sensation[50.0% (63/126) vs. 11.1% (14/48)], normal detrusor contractility [26.2% (33/126) vs. 10.4% (5/48)] and detrusor-sphincter dyssynergia [21.4% (27/126) vs. 4.2% (2/48)]and lower post-void residual [105.5(49.3, 231.3) ml vs. 197.9(114.8, 284.8) ml], ( P<0.05). After excluding multicollinearity, patients were divided into two group mainly based on coordination, detrusor stability, and detrusor contractility through two-step clustering analysis: 98 patients in Group 1 and 76 patients in Group 2. The success rate was higher in Group 2 [82.9% (63/76) vs. 64.3% (63/98), P=0.006]. Compared with Group 1, Group 2 exhibited the following characteristics: higher proportion of storage symptoms [43.4% (33/76) vs. 14.3% (14/98)], sensitive bladder sensation [67.1% (51/76) vs. 26.5% (26/98)], detrusor overactivity [46.1% (35/76) vs. 3.1% (3/98)], normal detrusor contractility [43.4% (33/76) vs. 5.1% (5/98)], and detrusor-sphincter dyssynergia [38.2% (29/76) vs. 0] ( P all<0.05). Additionally, group 2 had lower post-void residual [69.0 (23.8, 136.6) ml and 197.9 (123.2, 287.4) ml] and smaller bladder capacity [(281.9±144.9) ml vs. (430.4±176.7) ml] ( P all<0.01). Conclusions:Patients with storage symptoms, low post-void residual, sensitive bladder sensation, detrusor overactivity, normal contractility, or detrusor-sphincter dyssynergia indicate a higher conversion rate to second stage, making them more suitable for SNM testing.

Objective:To investigate the occurrence of work-related musculoskeletal disorders (WMSDs) in logistics workers of automobile manufacturing enterprises in Guangzhou, and explore their potential categories and influencing factors, so as to provide basis for the prevention and control of WMSDs in logistics workers of automobile manufacturing enterprises.Methods:From April to May 2020, a convenient sampling method was adopted to select 1442 logistics workers in 2 automobile manufacturing enterprises in Guangzhou as the research objects. The incidence of WMSDs among them was investigated by using the Nordic Musculoskeletal Disorders Questionnaire, and the incidence pattern of WMSDs among the subjects was analyzed by the method of potential category analysis. Chi-square test and multiple logistic regression model were used to analyze the influencing factors of the disease.Results:The total prevalence of WMSDs was 42.9% (619/1442). The three parts with high prevalence of WMSDs were neck (23.5%, 339/1442), shoulder (21.3%, 307/1442) and lower back (19.1%, 275/1442). 69.0% (427/619) of the patients showed simultaneous disease in two or more sites. The subjects were divided into four latent groups by the analysis of latent categories: the group with multiple body parts (4.51%), the group with very low or no disease (70.39%), the group with shoulder and neck and upper back (11.37%), and the group with limbs and lower back (13.73%). Multivariate logistic regression showed that compared with the "very low or no disease group", the risk factors of multiple body parts of automotive logistics workers suffering from WMSDs mainly included: Working posture uncomfortable ( OR=3.10, 95% CI: 1.44~6.70, P=0.004), often bend and turn ( OR=2.36, 95% CI: 1.05~5.29, P=0.037), bend your knees homework for a long time ( OR=2.29, 95% CI: 1.17~4.47, P=0.015) ; Working posture uncomfortable ( OR=2.26, 95% CI: 1.51~3.38, P<0.001), bending the neck ( OR=1.68, 95% CI: 1.03~2.74, P=0.036), neck minister time keep the same position ( OR=1.81, 95% CI: 1.22~2.67, P= 0.003) It is a risk factor for shoulder, neck and upper back WMSDs; Risk factors for limb-lower back WMSDs include: Length > 10 years ( OR=2.16, 95% CI: 1.24~3.78, P<0.001), the working position uncomfortable ( OR=2.38, 95% CI: 1.63~3.48, P<0.001), bending the neck ( OR=1.66, 95% CI: 1.03~2.68, P=0.039) . Conclusion:The prevalence rate of WMSDs among logistics workers in automobile manufacturing enterprises is high, which has obvious characteristics of classification and comorbis, and is closely related to individual characteristics such as sufficient rest time and working posture of workers.