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.

OBJECTIVE To confirm trigger items for adverse drug reaction （ADR） induced by bevacizumab， to identify and analyze the occurrence of related ADR， and to establish a predictive model for severe adverse reaction （SAR） caused by this drug. METHODS Based on the global trigger tool （GTT） theory， and referencing the GTT White Paper， drug package inserts and relevant literature， trigger items for bevacizumab-related ADR were confirmed using a single-round Delphi method. Utilizing these established items， electronic medical records of relevant patients at Guilin People’s Hospital from January 2020 to September 2024 were actively screened via the China Hospital Pharmacovigilance System. Pharmacists then identified and tallied the occurrence of bevacizumab-induced ADR. Data from patients with any positive trigger item served as the study subjects （divided into training and test sets at a ratio of 7∶3）， candidate feature variables were selected from 39 related variables using the Boruta algorithm， and the multivariable Logistic regression analysis was performed with the occurrence of SAR as the dependent variable. Based on these candidate features， Logistic Regression， Extreme Gradient Boosting， Light Gradient Boosting Machine， Random Forest， and Categorical Boosting models were constructed. Model performance was evaluated using metrics including the area under the curve （AUC） of receiver operating characteristic curve and recall rate. The Shapley Additive exPlanations （SHAP） method was applied to analyze and interpret the contribution of each variable. A nomogram was constructed based on the optimal model. RESULTS A total of 38 trigger items for active monitoring of bevacizumab-related ADR were determined， comprising 17 laboratory indicators， 13 clinical manifestations， and 8 intervention measures. In total， 483 patients with positive trigger items were included， and 318 patients with bevacizumab-induced ADR were identified， including 83 SARs. The positive predictive values for the trigger items and cases were 43.57% （708/1 625） and 63.84% （318/483）， respectively. Bevacizumab-induced ADR involved 7 systems/organs， with the hematological system being the most frequently involved （64.15%）. The Boruta algorithm selected 7 vari ables： serum potassium， hematocrit， albumin-to-globulin ratio， prealbumin， hypertension history， age and red blood cell count. Multivariable Logistic regression showed that elevated serum potassium levels were associated with a decreased risk of bevacizumab-induced SAR （OR＝0.234， P ＝0.002）， while a history of hypertension （OR＝2.642， P ＝0.006） and increased age （OR＝1.040， P ＝0.025） were associated with an increased risk. The Logistic Regression model demonstrated superior performance with higher AUC， F1 score and recall rate （0.761， 0.447， 0.607）， compared to other models. SHAP evaluation results indicated that variables such as serum potassium， hematocrit， and age ranked highest in importance. CONCLUSIONS Totally 38 trigger entries have been successfully identified for active screening of bevacizumab-related ADR. Elevated serum potassium levels are a protective factor against bevacizumab-induced SAR， whereas the hypertension history and increased age are risk factors. The Logistic Regression model is the optimal predictive model.

Background/Aims: Acetyl coenzyme A (acetyl-CoA) is one of the most essential metabolites in cell metabolism but its function and concentration in hepatocellular carcinoma (HCC) remain elusive and controversial. Methods: A comprehensive analysis of acetyl-CoA levels and acetyl-CoA synthetase 2 (ACSS2) expression across a range of samples, including patient specimens from both hepatitis B virus (HBV) positive and HBV negative HCC individuals, HBV-transgenic mouse HCC models, and multiple cell lines. Furthermore, to evaluate the functional significance of ACSS2 in HBV-related HCC, we implemented both genetic and pharmacological inhibition strategies targeting ACSS2. Molecular mechanism and mitophagy assessment were revealed by cleavage under target and tagmentation sequencing, RNA sequencing, bioinformatic analyses, transmission electron microscopy and JC-1 staining. Results: Our study revealed a distinct metabolic signature of HBV-related HCC, marked by elevated acetyl-CoA, which was driven by ACSS2. ACSS2 was upregulated by the carbohydrate response element-binding protein in HBV-related HCC. Furthermore, ACSS2 improved tumor cell proliferation, an effect that was dependent on its enzymatic activity. Mechanistically, ACSS2-induced acetyl-CoA accumulation activated voltage-dependent anion channels 1 transcription through increased H3K27ac occupancy, which subsequently promoted mitophagy and HBV-related HCC tumorigenesis. Notably, targeting ACSS2 by depletion or inhibition with a catalytic inhibitor significantly suppressed tumor growth. Conclusions These findings not only illustrate the interplay between metabolic reprogramming, epigenetic modification, and tumorigenesis in the context of HBV infection, but also highlight ACSS2 as a novel metabolic vulnerability in HBV-related HCC. Therefore, targeting ACSS2 could be a novel strategy against HBV-related HCC.

The self-remodeling of scleral extracellular matrix(ECM)is a significant characteristic alterationin the development of myopia, and it also influences the progression of myopia. The mechanisms of scleral remodeling are intricate, with transforming growth factor-β(TGF-β)and its associated signaling pathways playing a pivotal role. This review systematically summarizes the major metabolic changes in scleral ECM, the molecular mechanisms of the TGF-β signaling pathway, and its regulatory effects on scleral remodeling during myopic development, aiming to provide new insights and potential strategies for the treatment and prevention of myopia.

Objective: This study employed next-generation sequencing (NGS) for large-scale genotyping of 42 blood group systems in blood donors to evaluate its applicability in multi-system blood group identification and rare blood type repository construction, while exploring the complementary value of third-generation sequencing (TGS) in haplotype phasing and variant capture in regions with insufficient sequencing depth for ABO ambiguous samples. Methods: A total of 562 regular blood donors (median donation frequency 11 times) from a blood center were enrolled. NGS was used for genotyping of 42 blood group systems, with a focused analysis on 12 systems essential for rare blood type repository construction: MNS, Lutheran, Kell, Duffy, Kidd, Diego, Yt, Colton, Gerbich, Ok, H, and I. TGS was employed to resolve haplotype phasing (i. e., determining whether different mutation sites are located on the same chromosome) in 12 ABO samples with discrepancies between forward and reverse typing. Serological and genotyping results were compared for MNS, Duffy, Kidd, Lewis, and ABO systems. Results: NGS-based genotyping revealed that Fy (a-b+) in the Duffy system accounted for 0.87% (4/458), and Di (a+b+) in the Diego system accounted for 10.62% (31/292). The Lutheran, Kell, Yt, Colton, H, Ok, I, and Gerbich systems exhibited near-uniform phenotype distributions. Among the 12 ABO ambiguous samples, NGS yielded multiple possible genotype combinations in 5 cases due to inability to phase alleles, whereas TGS uniquely resolved the genotypes through long-read sequencing. In one case, NGS detected only 2 mutation sites due to insufficient sequencing depth, while TGS identified all 11 sites and assigned the A1 phenotype. Concordance rates between serology and genotyping were: Duffy 96.55% (140/145), ABO 96.43% (513/532), Kidd 94.17% (97/103), MNS 85.07% (57/67), and Lewis 68.18% (75/110). In the MNS system, 7 of 8 samples serologically typed as M+N+ but genotyped as M-N+ carried GYPB variants. Lewis discrepancies predominantly featured genotype Le (a-b+) with serological phenotypes of Le (a+b-), Le (a+b+), or Le (a-b-). The NGS platform completed sequencing of 192 samples within 2 weeks. Conclusion: The tiered genotyping strategy combining NGS, TGS, and serology enables multi-system blood group identification in large-scale blood donor populations. TGS provides complementary value in phasing ambiguous ABO samples and detecting variants in regions with insufficient sequencing depth. This study provides a technical framework and baseline frequency data for the expansion of a local rare blood type repository. However, standardization and cost-effectiveness of this strategy require further validation with expanded sample sizes, and serological confirmation should be retained for secretion status-related systems such as Lewis.

ObjectiveTo evaluate the clinical efficacy and safety of Wenshen Yangxue decoction combined with endometrial microstimulation in the treatment of infertile patients with polycystic ovary syndrome （PCOS， syndrome of kidney-Yang deficiency and blood stasis）. MethodsA randomized， positive-drug parallel-controlled， open-label clinical study was conducted. A total of 240 infertile PCOS patients with the syndrome of kidney-Yang deficiency and blood stasis who met the inclusion and exclusion criteria were randomly assigned into 4 groups， with 60 patients in each group. The control group was treated with clomiphene citrate （50-100 mg·d^-¹， orally for 5-10 consecutive days） for ovulation induction. On the basis of the therapy in the control group， the Wenshen group was additionally treated with Wenshen Yangxue decoction （250 mL， warm oral administration， twice daily， in the morning and evening）， and the stimulation group received endometrial microstimulation during the early follicular phase. The combined group was treated with clomiphene citrate plus Wenshen Yangxue decoction （at the same dosages as aforementioned） and endometrial microstimulation. The course of treatment for all the groups was 3 menstrual cycles. The pregnancy rate， ovulation status， sex hormone levels， glucose metabolism indicators， coagulation function， endometrial thickness， traditional Chinese medicine （TCM） symptom scores， and adverse reactions were observed in each group. ResultsA total of 239 patients were included in the final analysis， with 59 patients in the Wenshen group and 60 patients in each of the other three groups. The pregnancy rates were 43.3%（26/60） in the combined group and 32.2%（19/60） in the Wenshen group， both significantly higher than that （10%） in the control group （χ²=17.56，P<0.01）. Compared with the control group， the combined and Wenshen groups had increased mature follicle rates （P<0.01）， while the Wenshen group showed a decreased luteinization rate （P<0.05）. All the groups exhibited significant reductions in TCM symptom scores after treatment， and the Wenshen and combined groups had lower scores than the control group （P<0.01）. No statistically significant difference was found in the incidence of adverse events among the four groups， and all the adverse events were mild. ConclusionWenshen Yangxue decoction combined with endometrial microstimulation can alleviate the TCM symptoms of infertile PCOS patients with the syndrome of kidney-Yang deficiency and blood stasis， promote follicular maturation and ovulation， increase the cumulative pregnancy rate， and has good safety. It can provide new clinical evidence for the integrated traditional Chinese and Western medicine treatment of PCOS infertility.

ObjectiveTo evaluate the clinical efficacy and safety of Wenshen Yangxue decoction combined with endometrial microstimulation in the treatment of infertile patients with polycystic ovary syndrome （PCOS， syndrome of kidney-Yang deficiency and blood stasis）. MethodsA randomized， positive-drug parallel-controlled， open-label clinical study was conducted. A total of 240 infertile PCOS patients with the syndrome of kidney-Yang deficiency and blood stasis who met the inclusion and exclusion criteria were randomly assigned into 4 groups， with 60 patients in each group. The control group was treated with clomiphene citrate （50-100 mg·d^-¹， orally for 5-10 consecutive days） for ovulation induction. On the basis of the therapy in the control group， the Wenshen group was additionally treated with Wenshen Yangxue decoction （250 mL， warm oral administration， twice daily， in the morning and evening）， and the stimulation group received endometrial microstimulation during the early follicular phase. The combined group was treated with clomiphene citrate plus Wenshen Yangxue decoction （at the same dosages as aforementioned） and endometrial microstimulation. The course of treatment for all the groups was 3 menstrual cycles. The pregnancy rate， ovulation status， sex hormone levels， glucose metabolism indicators， coagulation function， endometrial thickness， traditional Chinese medicine （TCM） symptom scores， and adverse reactions were observed in each group. ResultsA total of 239 patients were included in the final analysis， with 59 patients in the Wenshen group and 60 patients in each of the other three groups. The pregnancy rates were 43.3%（26/60） in the combined group and 32.2%（19/60） in the Wenshen group， both significantly higher than that （10%） in the control group （χ²=17.56，P<0.01）. Compared with the control group， the combined and Wenshen groups had increased mature follicle rates （P<0.01）， while the Wenshen group showed a decreased luteinization rate （P<0.05）. All the groups exhibited significant reductions in TCM symptom scores after treatment， and the Wenshen and combined groups had lower scores than the control group （P<0.01）. No statistically significant difference was found in the incidence of adverse events among the four groups， and all the adverse events were mild. ConclusionWenshen Yangxue decoction combined with endometrial microstimulation can alleviate the TCM symptoms of infertile PCOS patients with the syndrome of kidney-Yang deficiency and blood stasis， promote follicular maturation and ovulation， increase the cumulative pregnancy rate， and has good safety. It can provide new clinical evidence for the integrated traditional Chinese and Western medicine treatment of PCOS infertility.

Sleep disorders have become a global public health problem,and traditional diagnosis and treatment are limited by low accessibility and high subjectivity.In recent years,artificial intelligence(AI)technology has brought innovative opportunities for sleep health monitoring,diagnosis and intervention.In this paper,we systematically review the research progress of AI in the field of sleep:home monitoring based on wearable devices and contactless sensing achieves continuous and senseless data collection;deep learning models(such as convolutional neural network,recurrent neural network,and their hybrid architectures)significantly improve the automation and accuracy of sleep staging;and in clinical applications,AI assists in the diagnosis of obstructive sleep apnea,promotes the development of OSA diagnosis and treatment technologies as well as related research,and supports to form personalised intervention strategies.Despite its bright prospects,the application of AI in sleep health still faces numerous challenges,such as data privacy,algorithmic bias,insufficient model interpretability and lack of clinical validation.It should be made clear that AI is positioned to enhance,rather than replace clinical professional judgment.In the future,multimodal fusion,generative AI and big language models for health will further contribute to the intelligence and personalisation of sleep management.This study aims to provide reference for researchers and clinicians to promote the deep integration of AI and sleep medicine.

Hepatocellular carcinoma(HCC),which is essentially primary liver cancer,is closely related to CD8+T cell immune infiltration and immune suppression.We constructed a CD8+T cells related risk score model to pre-dict the prognosis of HCC patients and provided therapeutic guidance based on the risk score.Using integrated bulk RNA sequencing(RNA-seq)and single-cell RNA sequencing(scRNA-seq)datasets,we identified stable CD8+T cell signatures.Based on these signatures,a 3-gene risk score model,comprised of KLRB1,RGS2,and TN-FRSF1B was constructed.The risk score model was well validated through an independent external validation co-hort.We divided patients into high-risk and low-risk groups according to the risk score and compared the differ-ences in immune microenvironment between these two groups.Compared with low-risk patients,high-risk patients have higher M2-type macrophage content(P＜0.0001)and lower CD8+T cells infiltration(P＜0.0001).High-risk patients predict worse response to immunotherapy treatment than low-risk patients(P＜0.01).Drug sensitivity a-nalysis shows that PI3K-β inhibitor AZD6482 and TGFβRII inhibitor SB505124 may be suitable therapies for high-risk patients,while the IGF-1R inhibitor BMS-754807 or the novel pyrimidine-based anti-tumor metabolic drug Gemcitabine could be potential therapeutic choices for low-risk patients.Moreover,expression of these 3-gene mod-el was verified by immunohistochemistry.In summary,the establishment and validation of a CD8+T cell-derived risk model can more accurately predict the prognosis of HCC patients and guide the construction of personalized treatment plans.

Recent studies have shown that the physiological homeostasis of oral mucosal cells is regulated by the circadian clock.Dis-ruption or dysfunction of the circadian clock is closely associated with the development of oral squamous cell carcinoma(OSCC).Research based on the circadian clock offers a novel perspective on the pathogenesis and therapeutic strategies for OSCC.However,there is current-ly limited research on this topic,and people generally have insufficient understanding and recognition of the circadian clock.Given the complexity and challenges of circadian clock which is the fourth dimension of medical research,we organize relevant experts based on summarizing the current research results of circadian clock in the pathogenesis and precision diagnosis and treatment of OSCC,combining the scientific principles of the circadian clock's role and their long-term research experience,then summarizes and recommends the con-sensus opinions for the research of circadian clock in the pathogenesis mechanism and precision diagnosis and treatment of human OSCC,with the hope of providing guidance for the basic research and clinical application of circadian clock or circadian rhythm in the pathogene-sis mechanism and precision diagnosis and treatment of oral and maxillofacial squamous cell carcinoma.