With the rapid advancement of hemodynamic indices and monitoring technologies, their classification methods and application processes have become increasingly complex. Currently, no unified standard hasbeen established, making it difficult to fully meet the clinical requirements for hemodynamic management. To assist in hemodynamic monitoring assessment and therapeutic decision-making in critically ill patients, the Critical Hemodynamic Therapy Collaborative Group, in conjunction with the Critical Ultrasound Study Group, has jointly developed the Standard for the Application of Hemodynamic Monitoring Techniques in Critical Care. The first part of this standard systematically categorizes hemodynamic indicators into flow indicators, pressure and its derivative indicators, and tissue perfusion indicators, while elaborating on the clinical application of each. The second part establishes a standardized clinical implementation pathway for hemodynamic monitoring. It proposes a tiered monitoring strategy-comprising basic, advanced, indication-specific, and special scenario monitoring-tailored to different clinical settings. It emphasizes the central role of critical care ultrasound across all levels of monitoring and establishes hemodynamic assessment standards for organs such as the brain, kidneys, and gastrointestinal tract. This standard aims to provide a unified framework for clinical practice, teaching, training, and research in critical care medicine, thereby promoting standardized development within the discipline.

AIM: To investigate the value of maximum standardized uptake value(SUVmax), extraocular muscle(EOM)diameter, and thyroid stimulating hormone receptor antibody(TRAb)in evaluating inflammatory activity in thyroid-associated ophthalmopathy(TAO).METHODS: TAO patients underwent orbital 99mTc-DTPA SPECT/CT imaging at the Affiliated Hospital of Panzhihua University between January 2023 and December 2024 were retrospectively enrolled. According to the clinical activity score(CAS), patients were classified into an active group and an inactive group. SUVmax and EOM were independently measured by three nuclear medicine physicians, and the mean values were used for analysis. Serum TRAb levels from TAO patients were measured using a fully automated electrochemiluminescence immunoassay analyzer. Nonparametric tests were used to compare differences between the two groups. Spearman correlation analysis was performed to assess the correlations of CAS with SUVmax, EOM, and TRAb. Using CAS as the reference standard, receiver operating characteristic(ROC)curves were plotted to evaluate the diagnostic performance of SUVmax, EOM, and TRAb, as well as their combination. Intraclass correlation coefficient(ICC)was used for reliability analysis to evaluate the consistency of SUVmax and EOM among the 3 measurers.RESULTS: A total of 99 patients(198 eyes)with TAO were enrolled in this study, including 38 males and 61 females, aged 16-74(46.92±11.84)y. The active group comprised 46 patients(92 eyes), aged 16-71(48.40±12.02)y, with 25 males and 21 females. The inactive group included 53 patients(106 eyes), aged 17-74(45.46±11.59)y, consisting of 13 males and 40 females. There were no statistically significant differences between the two groups in terms of gender and age(P>0.05). Statistically significant differences were observed in SUVmax, EOM, and TRAb. Compared with the inactive group, the active group showed higher SUVmax, EOM, and TRAb levels(all P<0.01). Correlation analysis showed that CAS was positively correlated with SUVmax, EOM, and TRAb(r=0.734, 0.622, and 0.404, respectively, all P<0.01). ROC curves were plotted using CAS as the reference standard, and the AUCs for SUVmax, EOM, TRAb, and their combined diagnosis were 0.874, 0.797, 0.715, and 0.892, respectively. The ICC of SUVmax and EOM were 0.925(95%CI: 0.901-0.948, P<0.001)and 0.943(95%CI: 0.907-0.964, P<0.001)respectively.CONCLUSION: Beyond CAS, there is a need to identify objective imaging and serological biomarkers. Measurements of SUVmax and EOM provide visualized and quantifiable tools for assessing TAO activity, and their combination with TRAb can further improve the accuracy of activity assessment.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective To elucidate the mechanism through which Gypenoside L inhibits the growth of colon cancer by modulating carnitine palmitoyltransferase 1B (CPT1B),a pivotal enzyme in the fatty acid metabolism pathway. Methods Through in vitro experiments,various concentrations of Gypenoside LI LI were applied to inter-vene in colon cancer RKO and SW620 cells. The effects of Gypenoside LI on these cells were comprehensively evalu-ated using the CCK-8 assay,wound healing assay,colony formation assay,and live-dead cell staining,focusing on its impact on cell proliferation,migration,and apoptosis. Additionally,a human colon cancer tissue microarray (TMA) was utilized in conjunction with multiplex fluorescence immunohistochemistry to analyze the expression of CPT1B in colon cancer and adjacent tissues. SW620 cells were transfected with siRNA,and the mRNA and protein expression levels of CPT1B post-transfection were assessed using quantitative real-time PCR (qPCR) and Western blotting. Furthermore,an in vivo nude mouse colon cancer model was established to investigate the inhibitory effect of Gypenoside LI LI on colon cancer growth. Results In vitro experiments demonstrated that Gypenoside LI LI effectively inhibited the proliferation and migration of RKO and SW620 cells in a concentration-and time-dependent manner. Additionally,multiple fluorescence immunohistochemistry analyses revealed that the expression level of CPT1B in colon cancer tissues was significantly higher than that in adjacent non-tumor tissues. Gypenoside LI LI promoted ROS accumulation by inhibiting CPT1B expression. In vivo experiments further confirmed that Gypenoside LI LI could inhibit tumor formation in nude mice and reduce CPT1B expression. Conclusions This study elucidates the mechanism by which Gypenoside LI inhibits the growth of colon cancer cells. Specifically,it downregulates CPT1B,leading to increased accumulation of reactive oxygen species (ROS),disruption of fatty acid oxidation metabolism,and ultimately inducing apoptosis in colon cancer cells. These findings offer valuable insights into colon cancer treatment,suggesting new therapeutic strategies and potential drug targets.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective To elucidate the mechanism through which Gypenoside L inhibits the growth of colon cancer by modulating carnitine palmitoyltransferase 1B (CPT1B),a pivotal enzyme in the fatty acid metabolism pathway. Methods Through in vitro experiments,various concentrations of Gypenoside LI LI were applied to inter-vene in colon cancer RKO and SW620 cells. The effects of Gypenoside LI on these cells were comprehensively evalu-ated using the CCK-8 assay,wound healing assay,colony formation assay,and live-dead cell staining,focusing on its impact on cell proliferation,migration,and apoptosis. Additionally,a human colon cancer tissue microarray (TMA) was utilized in conjunction with multiplex fluorescence immunohistochemistry to analyze the expression of CPT1B in colon cancer and adjacent tissues. SW620 cells were transfected with siRNA,and the mRNA and protein expression levels of CPT1B post-transfection were assessed using quantitative real-time PCR (qPCR) and Western blotting. Furthermore,an in vivo nude mouse colon cancer model was established to investigate the inhibitory effect of Gypenoside LI LI on colon cancer growth. Results In vitro experiments demonstrated that Gypenoside LI LI effectively inhibited the proliferation and migration of RKO and SW620 cells in a concentration-and time-dependent manner. Additionally,multiple fluorescence immunohistochemistry analyses revealed that the expression level of CPT1B in colon cancer tissues was significantly higher than that in adjacent non-tumor tissues. Gypenoside LI LI promoted ROS accumulation by inhibiting CPT1B expression. In vivo experiments further confirmed that Gypenoside LI LI could inhibit tumor formation in nude mice and reduce CPT1B expression. Conclusions This study elucidates the mechanism by which Gypenoside LI inhibits the growth of colon cancer cells. Specifically,it downregulates CPT1B,leading to increased accumulation of reactive oxygen species (ROS),disruption of fatty acid oxidation metabolism,and ultimately inducing apoptosis in colon cancer cells. These findings offer valuable insights into colon cancer treatment,suggesting new therapeutic strategies and potential drug targets.

Critically ill patients are at high risk for hospital acquired infections, which can significantly increase the mortality rate and treatment costs for these patients. Therefore, in the process of treating the primary disease, strict prevention and control of new hospital infections is an essential component of the treatment for critically ill patients. The treatment of critically ill patients involves multiple steps and requires a concerted effort from various aspects such as theory, management, education, standards, and supervision to achieve effective prevention and control of hospital infections. However, there is currently a lack of unified understanding and standards for hospital infection prevention and control. To address this, in March 2024, a group of experts in critical care medicine, infectious diseases, and hospital infection from China discussed the current situation and issues of hospital infection control in the intensive care unit together. Based on a review of the latest evidence-based medical evidence from both domestic and international sources, 2024 Expert Consensus on Hospital Acquired Infection Control Principles in the Department of Critical Care Medicine was formed, aiming to provide a basis for the development of hospital infection prevention and control strategies in the field of critical care medicine.

Objective:To understand the incidence of diabetes and influencing factors, the trend of FPG change and risk for mortality in HIV-infected individuals after antiretroviral therapy (ART) in Dehong Dai and Jingpo Autonomous Prefecture (Dehong).Methods:The HIV/AIDS treatment database was collected from China Information System for Disease Control and Prevention. This retrospective cohort study was conducted in HIV-infected individuals with access to ART in Dehong during 2004-2020.The Cox proportional hazard regression model was used to analyze the incidence density of diabetes, the influencing factors and risk for mortality in HIV-infected individuals with access to ART, mixed linear effects model was used to analyze the trend of FPG change and predict FPG in those with different glucose metabolic status at baseline survey. Statistical analysis was performed using software SAS 9.4.Results:A total of 8 763 HIV-infected individuals were included, in whom 8 432 (96.2%) had no diabetes, 331 had diabetes. The incidence density of diabetes was 2.31/1 000 person years. Multivariate Cox proportional hazard regression analysis revealed that 30- 59 years old, BMI ≥24.0 kg/m 2, Efavirenz (EFV) based initial treatment regimen and impaired fasting glucose (IFG) at baseline survey were significantly and positively associated with incidence of diabetes. Mixed effect model revealed that FPG was positively correlated with the duration of ART, age and baseline FPG. Suffering from diabetes was a risk factor for mortality in HIV-infected individuals both at baseline survey and during follow-up. Conclusions:The risk for diabetes increased in HIV-infected individuals who were 30-59 years old, baseline BMI ≥24.0 kg/m 2, received EFV based initial treatment, and IFG in HIV-infected individuals after antiretroviral therapy in Dehong, 2004-2020. It is important to pay close attention to their blood glucose, and patients with high blood glucose should receive treatment as early as possible.

Microplastics(MPs)are emerging contaminants in aquatic environments characterized by their polar structure,small particle size(Typically less than 5 mm),large surface area,good stability,and resistance to biodegradation.They pose adverse effects on the normal physiological activities of aquatic organisms and can accumulate in biota,including humans.Therefore,there is an urgent need for rapid and accurate quantitative analysis of MPs in water environments.In this study,Raman spectroscopy combined with partial least squares(PLS)was employed for rapid and accurate quantitative analysis of polyethylene(PE)and polystyrene(PS)MPs in real water samples.Initially,33 simulated water samples containing different concentrations of MPs were prepared,and their Raman spectra were collected.Six spectral preprocessing methods(Normalization,multiplicative scatter correction,standard normal variate transformation,first derivative,second derivative,and wavelet transform)were investigated for their impact on the predictive performance of PLS calibration models.Subsequently,three variable selection methods including synergy interval partial least squares(SiPLS),variable importance in projection(VIP)and mutual information(MI)were employed to optimize the input variables of the PLS calibration model.The predictive capability of the PLS calibration model was evaluated and validated using leave-one-out cross-validation.Under the optimal conditions of spectral preprocessing,variable selection,input variables and latent variables,the wavelet transform-partial least squares(WT-PLS)calibration model based on distilled water was established,and the contents of PE and PS in real water samples were predicted with prediction correlation coefficients(R2p)of 0.9540 and 0.8472 for PE and PS,respectively,and prediction errors(Errorp)of 0.0690 and 0.1126,respectively.Furthermore,a mixed sample MI-PLS calibration model was developed,demonstrating the best predictive performance in real water samples(With R2p values of 0.9776 and 0.9755 for PE and PS,respectively,and Errorp values of 0.0360 and 0.0392,respectively).This method provided a novel approach and new methodology for quantitative analysis of MPs and other organic pollutants in real water samples.

Background/Aims: Total proctocolectomy with ileal pouch-anal anastomosis (IPAA) is widely accepted as a radical surgery for refractory ulcerative colitis (UC). Definite results on the appropriate pouch length for an evaluation of the risk-to-benefit ratio regarding technical complications and long-term quality of life (QOL) are still scarce. Methods: Data on UC patients who underwent IPAA from 2008 to 2022 in four well-established pouch centers affiliated to China UC Pouch Center Union were collected. Results: A total of 208 patients with a median follow-up time of 6.0 years (interquartile range, 2.3 to 9.0 years) were enrolled. The median lengths of the patients’ short and long pouches were 14.0 cm (interquartile range, 14.0 to 15.0 cm) and 22.0 cm (interquartile range, 20.0 to 24.0 cm), respectively. Patients with a short J pouch configuration were less likely to achieve significantly improved long-term QOL (p=0.015) and were prone to develop late postoperative complications (p=0.042), such as increased defecation frequency (p=0.003) and pouchitis (p=0.035). A short ileal pouch was an independent risk factor for the development of late postoperative complications (odds ratio, 3.100; 95% confidence interval, 1.519 to 6.329; p=0.002) and impaired longterm QOL improvement (odds ratio, 2.221; 95% confidence interval, 1.218 to 4.050, p=0.009). Conclusions The length of the J pouch was associated with the improvement in long-term QOL and the development of late post-IPAA complications. A long J pouch configuration could be a considerable surgical option for pouch construction.