Neurocritical care involves complex pathophysiological mechanisms, and its incidence is higher, injuries are more severe, and treatment is more challenging in high-altitude environments. This consensus, based on the latest domestic and international evidence-based medical data, establishes a standardized, goal-oriented framework for neurocritical care management applicable in high-altitude regions and nationwide. The consensus was developed following international standards for evidence quality assessment and underwent two rounds of Delphi expert consultation, resulting in 32 recommendation statements covering three parts: management systems, monitoring and assessment, and core strategies. Key updates include: advocating for the establishment of independent neurocritical care units and implementing precise tiered diagnosis and treatment based on the "Five Differences in Critical Care" concept; constructing a "trinity" multimodal brain monitoring system centered on cerebral blood flow, cerebral oxygenation, and brain function, emphasizing routine bedside transcranial Doppler ultrasound, cerebral oximetry, and continuous electroencephalography monitoring; shifting management strategies from mild hypothermia therapy to targeted temperature management, and defining the "446" target management pathway for the supercritical stage; emphasizing the assessment of static and dynamic cerebrovascular autoregulation functions through multimodal methods to achieve individualized optimal mean arterial pressure management; elevating cerebrospinal fluid management goals to the level of "glymphatic system" function maintenance; implementing a multidisciplinary collaborative, whole-process management model focusing on patients' long-term neurological functional outcomes; de-escalation criteria include multidimensional indicators such as recovery of brain structure, restoration of cerebrovascular autoregulation, improvement in cerebrospinal fluid dynamics, and reduction in biomarker levels; and integrating cutting-edge technologies like artificial intelligence into post-critical care management and rehabilitation planning. This consensus systematically integrates the entire process of neurocritical care management, reflecting the modern connotation of goal-oriented, dynamic, and multimodal integration in neurocritical care medicine. It aims to adapt to new trends such as deepening understanding of pathophysiological mechanisms, the integration of medicine and engineering, and the empowerment of artificial intelligence, thereby further advancing the discipline of critical care medicine.

ObjectiveTo explore the molecular mechanisms by which serum containing Gegen Qinlian Tang （GQT） inhibits glycolysis and enhances chemotherapy sensitivity in 5-fluorouracil （5-FU）-resistant colorectal cancer （CRC） cells based on the cyclin-dependent kinase 16 （CDK16）/MYC proto-oncogene （MYC） pathway. MethodsHCT-116/5-FU cells were treated with different concentrations （5%， 10%， 20%， 30%） of GQT-containing serum. Cell viability and 5-FU sensitivity were assessed using the cell counting kit-8 （CCK-8） assay， and the experimental concentrations of 5-FU and GQT for subsequent experiments were determined. Cell proliferation and apoptosis under individual 5-FU， GQT， and combined 5-FU + GQT treatments were evaluated using 5-ethynyl-2′-deoxyuridine （EDU） staining and annexin V-FITC/PI double staining， respectively. Glucose consumption， adenosine triphosphate （ATP） production， and lactate levels were measured by colorimetric assays. Expression levels of glycolysis-related proteins， CDK16， MYC， and phosphorylated MYC were detected by Western blot. Co-immunoprecipitation （CoIP） was used to examine the protein interaction between CDK16 and MYC， and cycloheximide （CHX） treatment was applied to assess the effect of CDK16 overexpression on MYC protein stability. ResultsCCK-8 assays showed that 2.5 mg·L^-1 5-FU significantly inhibited HCT-116 cell viability in a dose-dependent manner. In HCT-116/5-FU cells， significant inhibition was observed only at 5 mg·L^-1 5-FU （P<0.05）， which was used for model establishment. Compared with 5-FU alone， addition of 5% GQT-containing serum significantly suppressed HCT-116/5-FU cell viability （P<0.05）， with stronger inhibition at higher serum concentrations. Thus， 5% GQT-containing serum was used in subsequent experiments. Compared with the control group， 5-FU， GQT， and 5-FU + GQT treatments all significantly reduced cell proliferation （P<0.05） and increased apoptosis （P<0.01）. The 5-FU + GQT combination showed superior inhibition of proliferation compared with 5-FU or GQT alone （P<0.01）， accompanied by more pronounced reductions in glucose consumption， ATP production， and lactate generation （P<0.01）. Additionally， compared with control， 5-FU， and GQT groups， the 5-FU + GQT group exhibited stronger suppression of MYC and its phosphorylated forms （P<0.01） and greater inhibition of glycolytic enzymes， including hexokinase 2 （HK2）， 3-phosphoinositide-dependent protein kinase 1 （PDK1）， lactate dehydrogenase A （LDHA）， and pyruvate kinase M2 （PKM2） （P<0.01）. CDK16， MYC， and MYC phosphorylation expression levels were significantly downregulated in the 5-FU + GQT group compared with the 5-FU group （all P<0.01）. MYC protein stability decreased in a time-dependent manner in the 5-FU + GQT group （P<0.05）， which was rescued by CDK16 overexpression （P<0.05）. ConclusionGQT significantly enhances the sensitivity of HCT-116/5-FU cells to 5-FU， potentially by inhibiting CDK16 and thereby reducing MYC-mediated glycolysis.

ObjectiveTo explore the molecular mechanisms by which serum containing Gegen Qinlian Tang （GQT） inhibits glycolysis and enhances chemotherapy sensitivity in 5-fluorouracil （5-FU）-resistant colorectal cancer （CRC） cells based on the cyclin-dependent kinase 16 （CDK16）/MYC proto-oncogene （MYC） pathway. MethodsHCT-116/5-FU cells were treated with different concentrations （5%， 10%， 20%， 30%） of GQT-containing serum. Cell viability and 5-FU sensitivity were assessed using the cell counting kit-8 （CCK-8） assay， and the experimental concentrations of 5-FU and GQT for subsequent experiments were determined. Cell proliferation and apoptosis under individual 5-FU， GQT， and combined 5-FU + GQT treatments were evaluated using 5-ethynyl-2′-deoxyuridine （EDU） staining and annexin V-FITC/PI double staining， respectively. Glucose consumption， adenosine triphosphate （ATP） production， and lactate levels were measured by colorimetric assays. Expression levels of glycolysis-related proteins， CDK16， MYC， and phosphorylated MYC were detected by Western blot. Co-immunoprecipitation （CoIP） was used to examine the protein interaction between CDK16 and MYC， and cycloheximide （CHX） treatment was applied to assess the effect of CDK16 overexpression on MYC protein stability. ResultsCCK-8 assays showed that 2.5 mg·L^-1 5-FU significantly inhibited HCT-116 cell viability in a dose-dependent manner. In HCT-116/5-FU cells， significant inhibition was observed only at 5 mg·L^-1 5-FU （P<0.05）， which was used for model establishment. Compared with 5-FU alone， addition of 5% GQT-containing serum significantly suppressed HCT-116/5-FU cell viability （P<0.05）， with stronger inhibition at higher serum concentrations. Thus， 5% GQT-containing serum was used in subsequent experiments. Compared with the control group， 5-FU， GQT， and 5-FU + GQT treatments all significantly reduced cell proliferation （P<0.05） and increased apoptosis （P<0.01）. The 5-FU + GQT combination showed superior inhibition of proliferation compared with 5-FU or GQT alone （P<0.01）， accompanied by more pronounced reductions in glucose consumption， ATP production， and lactate generation （P<0.01）. Additionally， compared with control， 5-FU， and GQT groups， the 5-FU + GQT group exhibited stronger suppression of MYC and its phosphorylated forms （P<0.01） and greater inhibition of glycolytic enzymes， including hexokinase 2 （HK2）， 3-phosphoinositide-dependent protein kinase 1 （PDK1）， lactate dehydrogenase A （LDHA）， and pyruvate kinase M2 （PKM2） （P<0.01）. CDK16， MYC， and MYC phosphorylation expression levels were significantly downregulated in the 5-FU + GQT group compared with the 5-FU group （all P<0.01）. MYC protein stability decreased in a time-dependent manner in the 5-FU + GQT group （P<0.05）， which was rescued by CDK16 overexpression （P<0.05）. ConclusionGQT significantly enhances the sensitivity of HCT-116/5-FU cells to 5-FU， potentially by inhibiting CDK16 and thereby reducing MYC-mediated glycolysis.

BACKGROUND:Carboxylesterase 1 and inflammatory factors play a crucial role in regulating lipid metabolism and glucose homeostasis.However,the effects of different exercise intensity interventions on carboxylesterase 1 and inflammatory factors in skeletal muscle of type 2 diabetic rats remain to be revealed. OBJECTIVE:To investigate the effects of different exercise intensity interventions on carboxylesterase 1 and inflammatory factors in skeletal muscle of type 2 diabetic rats. METHODS:Thirty-two 8-week-old male Sprague-Dawley rats were randomly divided into normal control group(n=12)and modeling group(n=20)after 1 week of adaptive feeding.Rat models of type 2 diabetes mellitus were prepared by high-fat diet and single injection of streptozotocin.After successful modeling,the rats were randomly divided into diabetic control group(n=6),moderate-intensity exercise group(n=6)and high-intensity intermittent exercise group(n=6).The latter two groups were subjected to treadmill training at corresponding intensities,once a day,50 minutes each,and 5 days per week.Exercise intervention in each group was carried out for 6 weeks.After the intervention,ELISA was used to detect blood glucose and blood lipids of rats.The morphological changes of skeletal muscle were observed by hematoxylin-eosin staining.The mRNA expression levels of carboxylesterase 1 and inflammatory cytokines were detected by real-time quantitative PCR.The protein expression levels of carboxylesterase 1 and inflammatory cytokines were detected by western blot and immunofluorescence. RESULTS AND CONCLUSION:Compared with the normal control group,fasting blood glucose,triglyceride,low-density lipoprotein cholesterol,insulin resistance index in the diabetic control group were significantly increased(P<0.01),insulin activity was decreased(P<0.05),and the mRNA and protein levels of carboxylesterase 1,never in mitosis gene A related kinase 7(NEK7)and interleukin 18 in skeletal muscle tissue were upregulated(P<0.05).Compared with the diabetic control group,fasting blood glucose,triglyceride,low-density lipoprotein cholesterol,and insulin resistance index in the moderate-intensity exercise group and high-intensity intermittent exercise group were down-regulated(P<0.05),and insulin activity was increased(P<0.05).Moreover,compared with the diabetic control group,the mRNA level of NEK7 and the protein levels of carboxylesterase 1,NEK7 and interleukin 18 in skeletal muscle were decreased in the moderate-intensity exercise group(P<0.05),while the mRNA levels of carboxylesterase 1,NEK7,NOD-like receptor heat protein domain associated protein 3 and interleukin 18 and the protein levels of carboxylesterase 1 and interleukin 18 in skeletal muscle were downregulated in the high-intensity intermittent exercise group(P<0.05).Hematoxylin-eosin staining showed that compared with the diabetic control group,the cavities of myofibers in the moderate-intensity exercise group became smaller,the number of internal cavities was reduced,and the cellular structure tended to be more intact;the myocytes of rats in the high-intensity intermittent exercise group were loosely arranged,with irregular tissue shape and increased cavities in myofibers.To conclude,both moderate-intensity exercise and high-intensity intermittent exercise can reduce blood glucose,lipid,insulin resistance and carboxylesterase 1 levels in type 2 diabetic rats.Moderate-intensity exercise can significantly reduce the expression level of NEK7 protein in skeletal muscle,while high-intensity intermittent exercise can significantly reduce the expression level of interleukin 18 protein in skeletal muscle.In addition,the level of carboxylesterase 1 is closely related to the levels of NEK7 and interleukin 18.

BACKGROUND:Neuregulin 1 has been shown to be characterized in cell proliferation,differentiation,and vascular growth.Human amniotic mesenchymal stem cells are important seed cells in the field of tissue engineering,and have been shown to be involved in tissue repair and regeneration. OBJECTIVE:To construct human amniotic mesenchymal stem cells overexpressing neuregulin 1 and investigate their proliferation and migration abilities,as well as their effects on wound healing. METHODS:(1)Human amniotic mesenchymal stem cells were in vitro isolated and cultured and identified.(2)A lentivirus overexpressing neuregulin 1 was constructed.Human amniotic mesenchymal stem cells were divided into empty group,neuregulin 1 group,and control group,and transfected with empty lentivirus and lentivirus overexpressing neuregulin 1,or not transfected,respectively.(3)Edu assay was used to detect the proliferation ability of the cells of each group,and Transwell assay was used to detect the migration ability of the cells.(4)The C57 BL/6 mouse trauma models were constructed and randomly divided into control group,empty group,neuregulin 1 group,with 8 mice in each group.Human amniotic mesenchymal stem cells transfected with empty lentivirus or lentivirus overexpressing neuregulin-1 were uniformly injected with 1 mL at multiple local wound sites.The control group was injected with an equal amount of saline.(5)The healing of the trauma was observed at 1,7,and 14 days after model establishment.Histological changes of the healing of the trauma were observed by hematoxylin-eosin staining.The expression of CD31 on the trauma was observed by immunohistochemistry. RESULTS AND CONCLUSION:(1)Human amniotic mesenchymal stem cells overexpressing neuregulin-1 were successfully constructed.The mRNA and protein expression of intracellular neuregulin 1 was significantly up-regulated compared with the empty group(P<0.05).(2)The overexpression of neuregulin 1 promoted the migratory ability(P<0.01)and proliferative ability of human amniotic mesenchymal stem cells(P<0.05).(3)Human amniotic mesenchymal stem cells overexpressing neuregulin 1 promoted wound healing in mice(P<0.05)and wound angiogenesis(P<0.05).The results showed that overexpression of neuregulin 1 resulted in an increase in the proliferative and migratory capacities of human amniotic mesenchymal stem cells,significantly promoting wound healing and angiogenesis.

ObjectiveTo evaluate the clinical efficacy and safety of the traditional Chinese medicine （TCM） compound Chaiqin Xiaoyong Decoction （柴芩消痈饮， CXD） combined with Jinhuang Ointment （金黄膏， JO） in treating the nodular stage of acne mastitis of liver meridian heat accumulation type. MethodsA randomized， double-blind， placebo-controlled clinical trial was conducted. A total of 108 patients with liver meridian heat accumulation type acne mastitis in the nodular stage were randomly assigned to a treatment group and a control group， with 54 patients in each group. Both groups received topical application of JO once daily at a thickness of 3~5 mm for 8 hours， along with standard nursing care. On this basis， the treatment group received oral CXD granules， while the control group received placebo granules， administered twice daily， 3 sachets per dose， for 14 consecutive days. Clinical efficacy， TCM symptom scores， nodule size， visual analogue scale （VAS） pain scores， white blood cell （WBC） count， C-reactive protein （CRP） level， and systemic immune-inflammation index （SII） were compared. At the end of treatment， efficacy and safety indicators were evaluated. A 6-month follow-up was conducted to compare the proportion of patients undergoing surgical treatment. ResultsThe total clinical efficacy rate in the treatment group was 90.38% （47/52）， significantly higher than 32.00% （16/50） in the control group （P＜0.01）. The treatment group also showed significantly lower TCM symptom scores， VAS scores， nodule size， WBC count， CRP level， and SII （P＜0.05 or P＜0.01）. During follow-up， the surgical intervention rate in the treatment group was 5.77% （3/52）， lower than 14.00% （7/50） in the control group， with a statistically significant difference （P＜0.01）. No significant abnormalities were observed in safety indicators before and after treatment in either group. ConclusionCXD effectively reduces nodule size and alleviates symptoms such as redness and pain in patients with acne mastitis of liver meridian heat accumulation type， improves TCM symptom scores， enhances overall clinical efficacy， and demonstrates good safety.

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 By combining biological detection and imaging evaluation, a clinical prediction model is constructed based on a large cohort to improve the accuracy of distinguishing between benign and malignant pulmonary nodules. Methods A retrospective analysis was conducted on the clinical data of the 32 627 patients with pulmonary nodules who underwent chest CT and testing for 7 types of lung cancer-related serum autoantibodies (7-AABs) at our hospital from January 2020 to April 2024. The univariate and multivariate logistic regression models were performed to screen independent risk factors for benign and malignant pulmonary nodules, based on which a nomogram model was established. The performance of the model was evaluated using receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA). Results A total of 1 017 patients with pulmonary nodules were included in the study. The training set consisted of 712 patients, including 291 males and 421 females, with a mean age of (58±12) years. The validation set included 305 patients, comprising 129 males and 176 females, with a mean age of (58±13) years. Univariate ROC curve analysis indicated that the combination of CT and 7-AABs testing achieved the highest area under the curve (AUC) value (0.794), surpassing the diagnostic efficacy of CT alone (AUC=0.667) or 7-AABs alone (AUC=0.514). Multivariate logistic regression analysis showed that radiological nodule diameter, nodule nature, and CT combined with 7-AABs detection were independent predictors, which were used to construct a nomogram prediction model. The AUC values for this model were 0.826 and 0.862 in the training and validation sets, respectively, demonstrating excellent performance in DCA. Conclusion The combination of 7-AABs with CT significantly enhances the accuracy of distinguishing between benign and malignant pulmonary nodules. The developed predictive model provides strong support for clinical decision-making and contributes to achieving precise diagnosis and treatment of pulmonary nodules.

Objective To compare the incidence of complications after removal of chest drainage tube in the early and late stages after sublobectomy for non-small cell lung cancer (NSCLC), and to analyze the factors affecting postoperative pleural drainage volume (PDV), so as to explore the countermeasures and achieve rapid postoperative rehabilitation. Methods The patients with NSCLC who underwent minimally invasive sublobectomy in our hospital from January to October 2021 were enrolled. According to the median time of extubation, the patients were divided into an early extubation group (time with tube≤3 days) and a late extubation group (time with tube>3 days). The patients were matched via propensity score matching with a ratio of 1:1 and a caliper value of 0.02. The incidence of complications and perioperative parameters after removal of the thoracic drainage tube were analyzed and compared between the two groups, and univariate and multiple linear regression analyses were performed. Results A total of 157 patients were enrolled, including 79 males and 78 females, with an average age of (58.22±11.06) years. There were 76 patients in the early extubation group, 81 patients in the late extubation group, and 56 patients were in each group after propensity score matching. Compared with late extubation group, there was no significant difference in the incidence of infection after extubation (10.7% vs. 16.1%, P=0.405) or pleural effusion after extubation (5.4% vs. 3.6%, P=0.647) in early extubation group, and there was no second operation in both groups. Univariate analysis showed that smoking history (P=0.001), postoperative serum albumin reduction value (P=0.017), surgical approach (P=0.014), lesion location (P=0.027), differentiation degree (P=0.041), TNM stage (P=0.043), number of dissected lymph nodes (P=0.016), and intraoperative blood loss (P=0.016) were infuencing factors for increased postoperative PDV. Multiple linear regression analysis showed that smoking history (P=0.002), postoperative serum albumin reduction value (P=0.041), and the number of dissected lymph nodes (P=0.023) were independent risk factors for increased postoperative PDV. Conclusion There is no significant difference in the incidence of complications after extubation between early and late extubations. Preoperative smoking history, excessive postoperative serum albumin decreases, and excessive number of dissected lymph nodes during the surgery are independent risk factors for increased postoperative PDV.

Objective: To conduct a scoping review on the types, construction methods and predictive performance of health literacy prediction models based on machine learning methods, so as to provide the reference for the improvement and application of such models. Methods: Publications on health literacy prediction models conducted using machine learning methods were retrieved from CNKI, Wanfang Data, VIP, PubMed and Web of Science from inception to May 1, 2024. The quality of literature was assessed using the Prediction Model Risk of Bias ASsessment Tool. Basic characteristics, modeling methods, data sources, missing value handling, predictors and predictive performance were reviewed. Results: A total of 524 publications were retrieved, and 22 publications between 2007 and 2024 were finally enrolled. Totally 48 health literacy prediction models were involved, and 25 had a high risk of bias (52.08%), with major issues focusing on missing value handling, predictor selection and model evaluation methods. Modeling methods included regression models, tree-based machine learning methods, support vector machines and neural network models. Predictors primarily encompassed factors at four aspects: individual, interpersonal, organizational and society/policy aspects, with age, educational level, economic status, health status and internet use appearing frequently. Internal validation was conducted in 14 publications, and external validation was conducted in 4 publications. Forty-two models reported the areas under the receiver operating characteristic curve, which ranged from 0.52 to 0.983, indicating good discrimination. Conclusion Health literacy prediction models based on machine learning methods perform well, but have deficiencies in risk of bias, data processing and validation.