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.

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.

Helicobacter pylori （H. pylori） infection is not only associated with gastrointestinal diseases， but also potentially links with neuropsychiatric disorders revealed by recent studies. Through a systematic review of the existing literature， this review summarizes epidemiological evidence for the association between H. pylori infection and diseases such as Parkinson′s disease （PD）， Alzheimer′s disease （AD）， multiple sclerosis （MS）， migraine， depression， and anxiety disorders， and further explores potential mechanisms by which it affects central nervous system function， including neural pathways mediated by the enteric nervous system and the vagus nerve， immune pathways mediated by inflammatory cytokines， and endocrine pathways mediated by gut microbial metabolites. Additionally， the current challenges facing H. pylori eradication therapy and the prospects for emerging adjuvant strategies such as probiotics and fecal microbiota transplantation are discussed. Finally， future research directions are outlined， emphasizing the need for prospective cohort studies based on standardized diagnostic methods and further investigation using animal models to elucidate the pathophysiological mechanisms， with the aim of providing new perspectives for the prevention， treatment， and early intervention of related neuropsychiatric disorders.

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.

ObjectiveTo investigate the effects of paeoniflorin （PF） on neuroinflammation and cognitive impairment in the rat model of Alzheimer's disease （AD） and to clarify whether its mechanism is associated with regulation of the Janus kinase 2 （JAK2）/signal transducer and activator of transcription 3 （STAT3） signaling pathway. MethodsGlycosides related to AD-associated neuroinflammation were screened through bibliometric analysis， and the potential targets of PF were predicted through network pharmacology and molecular docking. A rat model of AD was established by intraperitoneal injection of D-galactose （100 mg·kg^-1·d^-1）. Rats were assigned into a control group， a model group， a PF （200 mg·kg^-1） group， and a donepezil （0.5 mg·kg^-1·d^-1） group， and drugs were administered by gavage for 21 days. The learning and memory abilities were evaluated by the Morris water maze （MWM）. Hematoxylin-eosin （HE） staining and Nissl staining were performed to observe hippocampal neuronal morphology. The mRNA levels of inflammatory factors were determined by Real-time quantitative polymerase chain reaction （Real-time PCR）， and the protein levels of molecules in the JAK2/STAT3 signaling pathway were determined by Western blot. ResultsCompared with the control group， the model group showed prolonged escape latency and decreased platform crossings and time spent in the target quadrant （P<0.05， P<0.01）， accompanied by increased expression of interleukin-1β （IL-1β） and tumor necrosis factor-α （TNF-α）， as well as elevated ratios of phosphorylated （p）-JAK2/JAK2 and p-STAT3/STAT3 （P<0.01）. Compared with the model group， the PF group and donepezil group exhibited shortened escape latency and increased platform crossings and time spent in the target quadrant （P<0.05， P<0.01）， decreased expression levels of IL-1β and TNF-α， upregulated mRNA levels of interleukin-4 （IL-4） and interleukin-10 （IL-10）， and reduced ratios of p-JAK2/JAK2 and p-STAT3/STAT3 （P<0.05， P<0.01）. ConclusionPaeoniflorin can alleviate cognitive impairment and neuroinflammation in the rat model of AD by inhibiting the JAK2/STAT3 signaling pathway.

Objectives To construct frailty risk prediction models based on logistic regression anal-ysis,decision tree and random forest algorithm in elderly patients with heart failure(HF),and to compare the predictive performance of three models.Methods A total of 426 elderly HF patients hospitalized in the Affiliated Hospital of Nantong University from September 2022 to October 2023 were selected using convenience sampling.Based on the results of frailty assessment,194 of them were classified into the frail group and the other 232 into the non-frail group.The 426 patients were divided into training(299 casses)and testing sets(127 cases)in a 7∶3 ratio.Three prediction models were then constructed in the training set,while the test set was used to validate the results.Area under curve and confusion matrix were used to measure performance of the mod-els.The optimal model was then selected by evaluating the performance on the testing set.Results The area under curve value of the logistic regression model,decision tree model and random forest model in the testing set was 0.898,0.825 and 0.903,with a classification accuracy of 84.25％,77.95％and 83.46％,a sensitivity of 82.76％,68.97％and 82.76％,a specificity of 85.51％,85.51％and 84.06％,a positive predictive value of 82.76％,80.00％and 81.36％,and a negative predictive value of 85.51％,76.62％and 85.29％,respectively.The factors that ultimately affecting frailty in elderly HF patients were age,left atrial diameter,depression,albumin,physical activity level and social support.Conclusion Among the three prediction models,the logistic regression model demonstrates best predictive performance for frailty risk in elderly HF patients than the decision tree and random forest models.