OBJECTIVE To form an expert consensus addressing clinical issues regarding the use of parenteral direct thrombin inhibitors （DTIs） in special populations. METHODS Led by the Sichuan Academy of Medical Sciences & Sichuan Provincial People’s Hospital（the Affiliated Hospital of UESTC）， a multidisciplinary working group was formed comprising experts from multiple fields， including clinical pharmacy， cardiac surgery， obstetrics， pediatrics and evidence-based medicine. Through literature review and the Delphi method， clinical questions regarding the efficacy and safety of parenteral DTIs used in special populations were identified. A structured design was adopted using the “Population-Intervention-Comparison-Outcome” （PICO） framework；systematic searches were conducted in CJFD， PubMed， Embase and other databases. Relevant evidence from randomized controlled trials，cohort studies and systematic reviews were included and synthesized. Evidence quality was assessed using the Grading of Recommendations Assessment，Development and Evaluation （GRADE） approach， and recommendations were formulated through three rounds of Delphi surveys and expert consensus meetings. RESULTS &CONCLUSIONS Seven clinical questions were ultimately selected （with a consensus rate exceeding 90%）， resulting in the formulation of seven recommendations on the use of parenteral DTIs in special populations， including children， pregnant women， patients with hepatic or renal impairment， patients with mesenteric venous thrombosis， and individuals with thrombophilia. These recommendations clarify the preferred agents， dosing ranges， monitoring parameters， and safety management strategies for parenteral DTIs in these special populations. This expert consensus， which is formulated based on the best available evidence， provides evidence-based guidance for standardized and individualized use of parenteral DTIs in special populations.

Anticoagulants are widely used in the prevention and treatment of thromboembolism.Existing anticoagulants share the common feature of antagonizing or blocking critical steps in the coagulation cascade,which also increases the risk of bleeding.Studies have indicated that factor Ⅺ inhibitors represent a potential therapeutic option for balancing thrombosis and bleeding risks.In recent years,various factor Ⅺ inhibitors,including antisense oligonucleotides(ASOs),monoclonal antibodies,synthetic small molecules,natural peptides,and aptamers,have been extensively researched as potentially exploitable anticoagu-lants.Research findings also suggest that factor Ⅺ inhibitors can reduce bleeding risks while ensuring anticoagulant efficacy,ex-hibiting potential for thrombosis prevention and treatment in patient populations such as those with end-stage renal disease,non-cardioembolic ischemic stroke,and acute coronary syndrome.This article reviewed the mechanisms of action,drug classes,pharma-cological characteristics,and clinical research progress of factor Ⅺ inhibitors,aiming to provide insights into the development of new anticoagulants and clinical anticoagulant therapies.

OBJECTIVE To evaluate the safety of fondaparinux in pregnancy and provide reference for its rational clinical application. METHODS A search was conducted in databases including CNKI， Wanfang， PubMed， Embase， and Elsevier （the search time was from the construction of the database to December 17， 2024） to collect case report literature on fondaparinux use during pregnancy. Patient demographic information， fondaparinux use during pregnancy， concomitant medications， clinical manifestations， and treatment details were extracted for descriptive statistical analysis. RESULTS A total of 17 case reports regarding the use of fondaparinux during pregnancy were collected， involving 42 patients from 11 countries and 47 pregnancy records. Among these， 20 cases involved the use of fondaparinux for the prevention of pregnancy-related venous thromboembolism （VTE）， while 27 cases were fondaparinux treatment due to related conditions. A total of 29 occurrences of the patients were treated with fondaparinux due to a （family） history of VTE. Nine occurrences of complicated pregnancies were reported， and 35 patients had records of comorbidities or relevant medical histories. The adverse events that occurred during pregnancy with the use of fondaparinux include postpartum hemorrhage （7 cases） and excessive anticoagulation caused by inappropriate dosage （1 case）. Among the 7 cases of postpartum hemorrhage， 3 cases had a blood loss of no less than 1 000 mL （including 2 cases with uterine atony）， 3 cases had a drug discontinuation time of ≤12 h. CONCLUSIONS Based on the existing literature， the safety of fondaparinux during pregnancy is generally manageable， with the main adverse event being postpartum hemorrhage. The dosage， interval between discontinuation，comorbidities/medical history， and concomitant medications of fondaparinux may be the main causes of its adverse events.

Objective To explore the application of Mini-CEX oriented by nurses'core competencies in the clinical teaching of intern nursing students.Methods A total of 50 students,interning in the First Affiliated Hospital of Kunming Medical University from January 1,2023 to April 30,2024,were randomly divided into experimental group and control group,with 25 students in each group.The control group was taught by traditional clinical teaching methods,and the experimental group by Mini-CEX.The data indicators of the two groups of intern nursing students were analyzed and compared at entry into and exit from the department,respectively.Results The scores of the two groups were higher than those at entry into the department(P<0.05),and the intern nursing students in the experimental group had excellent scores in nursing consultation,nursing examination,nursing diagnosis,nursing measures,humanistic care,organizational effectiveness,health consultation,and overall evaluation,and the scores were higher than those of the control group(P<0.05).The improvement in all the scores was also better than that of the control group(P<0.05).Conclusion Mini-CEX,which is oriented to the nurse'core competencies of nurses,can improve the clinical nursing abilities of intern nursing students and enhance the cultivation effect of clinical practice skills.

Objective:To develop an artificial intelligence (AI)-based platelet review strategy to identify abnormal platelet histograms with no significant difference between initial impedance platelet count (PLT-I) and PLT-F results.Methods:This study included 5 119 routine blood analysis in Nanfang Hospital of Southern Medical University and its Ganzhou branch from July 2023 and March 2024. Specimens exhibiting abnormal platelet histograms and an initial platelet count >40×10?/L underwent review using the fluorescent platelet count (PLT-F) channel. Consistency of the results was defined as a difference between impedance platelet count (PLT-I) and PLT-F less than ±20% of the PLT-F results. A deep learning model was developed using platelet and red blood cell histogram data from a training set of 3 807 specimens. The model′s diagnostic performance was evaluated on an independent external validation set ( n=805) using receiver operating characteristic (ROC) curve analysis. Changes in the number of reviewed samples and sample turnaround time were analyzed to assess its clinical utility. Results:The deep learning model based on platelet and red blood cell histograms achieved an area under the ROC curve (AUC) of 0.854 in the training set. At a cutoff value of 0.1, the sensitivity was 0.954 and specificity was 0.358. The model could reduce review by 16.80% (190/1 131). In the validation set, the AUC was 0.805, with a sensitivity of 0.955 and specificity of 0.307, corresponding to a reduction of 17.41% (47/270) in reviewed specimens.Conclusion:The platelet review prediction model developed based on deep learning technology can efficiently identify samples with consistent results before and after review, reducing unnecessary reviews and shortening specimen testing time, thereby improving the efficiency of platelet test.

Objective:To investigate epithelial cell heterogeneity in ovarian cancer(OC)and its impact on the tumor microenvironment(TME)by constructing OC epithelial subtypes using publicly available single-cell RNA sequencing(scRNA-seq)data and bioinformatics approaches.Methods:Eight cell types and gene expression matrices were identified from the GSE118828 OC scRNA-seq dataset,and a deconvolution approach was used to estimate cellular composition in bulk RNA sequencing(bulk RNA-seq)data.OC samples were stratified into high-epithelial(C1)and low-epithelial(C2)subtypes based on epithelial cell abundance.Differences in overall survival(OS)and immune microenvironment features between patients with C1 and C2 subtypes were analyzed.Differentially expressed genes(DEGs)between C1 and C2 subtypes,as well as between early-stage(stageⅠ～Ⅱ)and late-stage(stageⅢ-Ⅳ)OC groups were identified to screen epithelial-related genes associated with OC progression,and their influence on the TME was analyzed.Protein expression of the epithelial-related genes in OC progression was validated using data from the Human Protein Atlas(HPA)database.Results:Patients with the C1 subtype exhibited significantly better OS compared to those with C2 subtype(P<0.05).The C1 and C2 subtypes demonstrated distinct immune microenvironment infiltration profiles.Infiltration levels of T helper(Th)cells,M1 macrophages,and activated dendritic cells(DCs)were significantly higher in the C1 subtype(all P<0.05).In late-stage OC patients with C1 subtype,the expression of HAS1,DAPL1,and ADH1B was significantly upregulated(all P<0.05).Furthermore,DAPL1 expression was positively correlated with the degree of macrophage and regulatory T cells(Treg)infiltration in OC(P<0.05).HPA database analysis confirmed that DAPL1 protein expression was significantly upregulated in OC tissues.Conclusion:The high-epithelial subtype of ovarian cancer may exert anti-tumor effects through extensive infiltration of T helper(Th)cells,M1 macrophages,and activated dendritic cells within the tumor microenvironment.Conversely,upregulation of the epithelial-related gene DAPL1 may induce the infiltration of macrophages and Treg,thereby promoting OC progression.

The American Heart Association(AHA)/American Stroke Association(ASA)published the"2024 Guidelines for Primary Stroke Prevention"in the Stroke journal on October 21,2024.This document summarized the clinical research and epidemiological data since the publication of the previous version of the guidelines in 2014,providing strategies and recommendations for stroke prevention across the entire lifecycle.The guidelines emphasized the importance of pharmacological treatment,routine screenings,and lifestyle changes,with updated and refined recommendations.This article dissects the newly revised sections of the guidelines,with a special focus on the management of blood pressure,blood glucose,and blood lipids levels,as well as customized advice for particular populations and patient subgroups.Furthermore,it explores health behavior management strategies,including diet and exercise,by intergarting the knowledge from the previous version of the primary stroke prevention guidelines with pertinent domestic and international materials.The ultimate objective is to offer valuable insights and guidance to China in advancing primary stroke prevention efforts and formulating coherent guidelines and consensuses within this critical domain.

The American Heart Association(AHA)/American Stroke Association(ASA)published the"2024 Guidelines for Primary Stroke Prevention"in the Stroke journal on October 21,2024.This document summarized the clinical research and epidemiological data since the publication of the previous version of the guidelines in 2014,providing strategies and recommendations for stroke prevention across the entire lifecycle.The guidelines emphasized the importance of pharmacological treatment,routine screenings,and lifestyle changes,with updated and refined recommendations.This article dissects the newly revised sections of the guidelines,with a special focus on the management of blood pressure,blood glucose,and blood lipids levels,as well as customized advice for particular populations and patient subgroups.Furthermore,it explores health behavior management strategies,including diet and exercise,by intergarting the knowledge from the previous version of the primary stroke prevention guidelines with pertinent domestic and international materials.The ultimate objective is to offer valuable insights and guidance to China in advancing primary stroke prevention efforts and formulating coherent guidelines and consensuses within this critical domain.

Anticoagulants are widely used in the prevention and treatment of thromboembolism.Existing anticoagulants share the common feature of antagonizing or blocking critical steps in the coagulation cascade,which also increases the risk of bleeding.Studies have indicated that factor Ⅺ inhibitors represent a potential therapeutic option for balancing thrombosis and bleeding risks.In recent years,various factor Ⅺ inhibitors,including antisense oligonucleotides(ASOs),monoclonal antibodies,synthetic small molecules,natural peptides,and aptamers,have been extensively researched as potentially exploitable anticoagu-lants.Research findings also suggest that factor Ⅺ inhibitors can reduce bleeding risks while ensuring anticoagulant efficacy,ex-hibiting potential for thrombosis prevention and treatment in patient populations such as those with end-stage renal disease,non-cardioembolic ischemic stroke,and acute coronary syndrome.This article reviewed the mechanisms of action,drug classes,pharma-cological characteristics,and clinical research progress of factor Ⅺ inhibitors,aiming to provide insights into the development of new anticoagulants and clinical anticoagulant therapies.

Objective:To develop an artificial intelligence (AI)-based platelet review strategy to identify abnormal platelet histograms with no significant difference between initial impedance platelet count (PLT-I) and PLT-F results.Methods:This study included 5 119 routine blood analysis in Nanfang Hospital of Southern Medical University and its Ganzhou branch from July 2023 and March 2024. Specimens exhibiting abnormal platelet histograms and an initial platelet count >40×10?/L underwent review using the fluorescent platelet count (PLT-F) channel. Consistency of the results was defined as a difference between impedance platelet count (PLT-I) and PLT-F less than ±20% of the PLT-F results. A deep learning model was developed using platelet and red blood cell histogram data from a training set of 3 807 specimens. The model′s diagnostic performance was evaluated on an independent external validation set ( n=805) using receiver operating characteristic (ROC) curve analysis. Changes in the number of reviewed samples and sample turnaround time were analyzed to assess its clinical utility. Results:The deep learning model based on platelet and red blood cell histograms achieved an area under the ROC curve (AUC) of 0.854 in the training set. At a cutoff value of 0.1, the sensitivity was 0.954 and specificity was 0.358. The model could reduce review by 16.80% (190/1 131). In the validation set, the AUC was 0.805, with a sensitivity of 0.955 and specificity of 0.307, corresponding to a reduction of 17.41% (47/270) in reviewed specimens.Conclusion:The platelet review prediction model developed based on deep learning technology can efficiently identify samples with consistent results before and after review, reducing unnecessary reviews and shortening specimen testing time, thereby improving the efficiency of platelet test.