Real-world study (RWS), based on multi-source data from real medical environments, is gradually becoming an important supplement to traditional randomized controlled trials, and its application in the field of transfusion medicine is becoming increasingly widespread. This article systematically reviews the definition and methodological system of RWS, examines its application cases in clinical blood transfusion research, and discusses the advantages, limitations, and future research directions of RWS, aiming to provide a reference for evidence-based research in blood transfusion medicine.

Real-world study (RWS), based on multi-source data from real medical environments, is gradually becoming an important supplement to traditional randomized controlled trials, and its application in the field of transfusion medicine is becoming increasingly widespread. This article systematically reviews the definition and methodological system of RWS, examines its application cases in clinical blood transfusion research, and discusses the advantages, limitations, and future research directions of RWS, aiming to provide a reference for evidence-based research in blood transfusion medicine.

Andrographolide sulfonate (AS) is a sulfonated derivative of andrographolide extracted from Andrographis paniculata (Burm.f.) Nees, and has been approved for several decades in China. The present study aimed to investigate the novel therapeutic application and possible mechanisms of AS in the treatment of rheumatoid arthritis. Results indicated that administration of AS by injection or gavage significantly reduced the paw swelling, improved body weights, and attenuated pathological changes in joints of rats with adjuvant-induced arthritis. Additionally, the levels of tumor necrosis factor-alpha (TNF-α), interleukin-6 (IL-6), and IL-1β in the serum and ankle joints were reduced. Bioinformatics analysis, along with the spleen index and measurements of IL-17 and IL-10 levels, suggested a potential relationship between AS and Th17 cells under arthritic conditions. In vitro, AS was shown to block Th17 cell differentiation, as evidenced by the reduced percentages of CD4⁺ IL-17A⁺ T cells and decreased expression levels of RORγt, IL-17A, IL-17F, IL-21, and IL-22, without affecting the cell viability and apoptosis. This effect was attributed to the limited glycolysis, as indicated by metabolomics analysis, reduced glucose uptake, and pH measurements. Further investigation revealed that AS might bind to hexokinase2 (HK2) to down-regulate the protein levels of HK2 but not glyceraldehyde-3-phosphate dehydrogenase (GAPDH) or pyruvate kinase M2 (PKM2), and overexpression of HK2 reversed the inhibition of AS on Th17 cell differentiation. Furthermore, AS impaired the activation of phosphatidylinositol 3-kinase (PI3K)/protein kinase B (AKT) signals in vivo and in vitro, which was abolished by the addition of lactate. In conclusion, AS significantly improved adjuvant-induced arthritis (AIA) in rats by inhibiting glycolysis-mediated activation of PI3K/AKT to restrain Th17 cell differentiation.
Animals ; Th17 Cells/immunology* ; Diterpenes/pharmacology* ; Arthritis, Rheumatoid/metabolism* ; Proto-Oncogene Proteins c-akt/immunology* ; Glycolysis/drug effects* ; Cell Differentiation/drug effects* ; Phosphatidylinositol 3-Kinases/genetics* ; Rats ; Male ; Rats, Sprague-Dawley ; Humans ; Andrographis paniculata/chemistry* ; Arthritis, Experimental/drug therapy* ; Interleukin-17/immunology* ; Signal Transduction/drug effects*

Traumatic supraorbital fissure syndrome (TSOFS) is a symptom complex caused by nerve entrapment in the supraorbital fissure after skull base trauma. If the compressed cranial nerve in the supraorbital fissure is not decompressed surgically, ptosis, diplopia and eye movement disorder may exist for a long time and seriously affect the patients′ quality of life. Since its overall incidence is not high, it is not familiarized with the majority of neurosurgeons and some TSOFS may be complicated with skull base vascular injury. If the supraorbital fissure surgery is performed without treatment of vascular injury, it may cause massive hemorrhage, and disability and even life-threatening in severe cases. At present, there is no consensus or guideline on the diagnosis and treatment of TSOFS that can be referred to both domestically and internationally. To improve the understanding of TSOFS among clinical physicians and establish standardized diagnosis and treatment plans, the Skull Base Trauma Group of the Neurorepair Professional Committee of the Chinese Medical Doctor Association, Neurotrauma Group of the Neurosurgery Branch of the Chinese Medical Association, Neurotrauma Group of the Traumatology Branch of the Chinese Medical Association, and Editorial Committee of Chinese Journal of Trauma organized relevant experts to formulate Chinese expert consensus on the diagnosis and treatment of traumatic supraorbital fissure syndrome ( version 2024) based on evidence of evidence-based medicine and clinical experience of diagnosis and treatment. This consensus puts forward 12 recommendations on the diagnosis, classification, treatment, efficacy evaluation and follow-up of TSOFS, aiming to provide references for neurosurgeons from hospitals of all levels to standardize the diagnosis and treatment of TSOFS.

Objective To investigate the correlation between serum long non-coding RNA FGD5-AS1(ln-cRNA FGD5-AS1),microRNA-103a-3p(miR-103a-3p)and puerperal infection(PI)in patients with gesta-tional diabetes mellitus(GDM)in late pregnancy.Methods A total of 168 late pregnancy GDM patients who were hospitalized and delivered in the hospital from January 2022 to June 2023 were retrospectively selected as the experimental group,and the patients were separated into an infected group(96 cases)and an uninfected group(72 cases)based on whether they had PI.At the same time,120 late pregnant women who underwent prenatal examination in the hospital and had normal gestational blood glucose were selected as the control group.Real-time fluorescence quantitative PCR(qRT-PCR)was applied to detect the expression levels of ln-cRNA FGD5-AS1 and miR-103a-3p.Multivariate Logistic regression was applied to analyze the influencing factors of PI in late pregnancy GDM patients.StarBase website was applied to analyze the relationship between lncRNA FGD5-AS1 and miR-103a-3p.Pearson was applied to analyze the correlation between lncRNA FGD5-AS1 and miR-103a-3p.Receiver operating characteristic(ROC)curve was applied to evaluate the value of ln-cRNA FGD5-AS1 and miR-103a-3p in predicting the occurrence of PI.Results There was a statistically sig-nificant difference in the expression levels of serum lncRNA FGD5-AS1 and miR-103a-3p between the experi-mental group and the control group(P＜0.05),the expression level of serum lncRNA FGD5-AS1 in the infec-ted group was obviously higher than that in the uninfected group(P＜0.05),but the expression level of ser-um miR-103a-3p in the infected group was obviously lower than that in the uninfected group(P＜0.05).The expression level of lncRNA FGD5-AS1 was an independent risk factor for PI in late-pregnancy GDM patients(P＜0.05),and the expression level of miR-103a-3p was an independent protective factor for PI in late-preg-nancy GDM patients(P＜0.05).There was a negative correlation between lncRNA FGD5-AS1 and miR-103a-3p expression level(r=-0.409,P＜0.001).The efficacy of the combined detection of lncRNA FGD5-AS1 and miR-103a-3p for predicting PI in late pregnancy GDM patients was superior to that of serum lncRNA FGD5-AS1 and miR-103a-3p alone(P＜0.05).Conclusion LncRNA FGD5-AS1 is an independent risk factor for PI in late pregnancy GDM patients,while miR-103a-3p is an independent protective factor for PI in late pregnancy GDM patients.The combined detection has higher value for predicting PI in late pregnancy GDM patients.

Objective To explore the value of a clinical-radiomics-deep learning(CRDL)fusion model based on biparametric mag-netic resonance imaging(bpMRI)in predicting biochemical recurrence(BCR)after radical prostatectomy(RP).Methods A retrospective analysis was conducted on 363 patients with prostate cancer(PCa)confirmed by RP pathology who underwent preoperative MRI,inclu-ding 84 cases experienced BCR(23.1％)and 279 cases did not experience BCR(76.9％).The patients were randomly divided into a training set(n=254)and a test set(n=109)in a ratio of 7∶3.Univariate Cox regression analysis was employed to select clinical variables related to BCR and the clinical model was constructed using backward stepwise multivariate Cox regression analysis.The radiomics features and deep learning(DL)features based on the DenseNet network were extracted.Radiomics and DL signatures were separately developed using least absolute shrinkage and selection operator(LASSO)-Cox regression algorithm.A CRDL fusion model was constructed by combining significant clinical features,DL signature and radiomics signature.The models'predictive performance for BCR was evaluated and compared using the concordance index(C-index).K-M survival curve and Log-rank test were used to assess the performance of CRDL fusion model in risk stratifica-tion of biochemical recurrence free survival(bRFS).Results In the test set,there was no statistically significant difference among C-index of radiomics signature,DL signature and clinical model(P＞0.05).The CRDL fusion model achieved a C-index of 0.83,higher than the clinical model,radiomics signature,and DL signature(P=0.03,0.01,and 0.03).K-M survival curve showed a significant difference in bRFS between low-risk and high-risk patients stratified by the CRDL fusion model[P＜0.000 1,hazard ratio(HR)=30.56,95％confidence interval(CI)10.64-87.75].Conclusion Radiomics signature and DL signature have comparable predictive per-formance for BCR after RP.The CRDL fusion model exhibits the best predictive efficacy for BCR,which is valuable for guiding postoperative treatment strategies in clinical practice.

Mechanical ventilation(MV)provides life support for critically ill respiratory patients,but in the meantime can cause fatal ventilator-induced lung injury(VILI),and the latter remains a major challenge in respiratory and critical care medicine,because the pathological mechanism has not been fully elucidated.Recent studies show that on the one hand,in the lung with VILI,there exists airway collapse at multi-sites of an individual airway,which can not be explained by traditional airway collapse models.But on the other hand,under MV conditions,airway smooth muscle cells(ASMC)exhibit abnormal mechanical behaviors,accompanied by regulation of Piezo1 expression and endoplasmic reticulum stress.These phenomenons indicate that the MV-induced abnormal mechanical behavior of ASMC is closely related to multiple airway collapse and VILI.Therefore,by studying the MV-induced changes of ASMC mechanical behaviors and their relationship with airway collapse in lung injury,as well as the related mechanochemical signal coupling process,it is expected to reveal a novel mechanism of MV-associated airway collapse and lung injury from the perspective of cell mechanics.In this review,the recent research progress of airway collapse during MV,the regulation of ASMC mechanical behavior by MV-related high stretch,especially the related mechanochemical signal coupling mechanism is summarized.These advances may provide a novel insight for exploring the roles of ASMC abnormal mechanical behavior in the pathological mechanism of VILI,alternative targets of drug intervention for prevention and treatment of VILI,as well as for optimizing the ventilation mode in clinical practice.

Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in tertiary hospitals in major regions of China in 2022.Methods Clinical isolates from 58 hospitals in China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2022 Clinical &Laboratory Standards Institute(CLSI)breakpoints.Results A total of 318 013 clinical isolates were collected from January 1,2022 to December 31,2022,of which 29.5％were gram-positive and 70.5％were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species(excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi)was 28.3％,76.7％and 77.9％,respectively.Overall,94.0％of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 90.8％of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis showed significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 94.2％in the isolates from children and 95.7％in the isolates from adults.The resistance rate to carbapenems was lower than 13.1％in most Enterobacterales species except for Klebsiella,21.7％-23.1％of which were resistant to carbapenems.Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.1％to 13.3％.The prevalence of meropenem-resistant strains decreased from 23.5％in 2019 to 18.0％in 2022 in Pseudomonas aeruginosa,and decreased from 79.0％in 2019 to 72.5％in 2022 in Acinetobacter baumannii.Conclusions The resistance of clinical isolates to the commonly used antimicrobial agents is still increasing in tertiary hospitals.However,the prevalence of important carbapenem-resistant organisms such as carbapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a downward trend in recent years.This finding suggests that the strategy of combining antimicrobial resistance surveillance with multidisciplinary concerted action works well in curbing the spread of resistant bacteria.

Objective To investigate the distribution and antimicrobial resistance profiles of the common pathogens isolated from urine from 2015 to 2021 in the CHINET Antimicrobial Resistance Surveillance Program.Methods The bacterial strains were isolated from urine and identified routinely in 51 hospitals across China in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Antimicrobial susceptibility was determined by Kirby-Bauer method,automatic microbiological analysis system and E-test according to the unified protocol.Results A total of 261 893 nonduplicate strains were isolated from urine specimen from 2015 to 2021,of which gram-positive bacteria accounted for 23.8％(62 219/261 893),and gram-negative bacteria 76.2％(199 674/261 893).The most common species were E.coli(46.7％),E.faecium(10.4％),K.pneumoniae(9.8％),E.faecalis(8.7％),P.mirabilis(3.5％),P.aeruginosa(3.4％),SS.agalactiae(2.6％),and E.cloacae(2.1％).The strains were more frequently isolated from inpatients versus outpatients and emergency patients,from females versus males,and from adults versus children.The prevalence of ESBLs-producing strains in E.coli,K.pneumoniae and P.mirabilis was 53.2％,52.8％and 37.0％,respectively.The prevalence of carbapenem-resistant strains in E.coli,K.pneumoniae,P.aeruginosa and A.baumannii was 1.7％,18.5％,16.4％,and 40.3％,respectively.Lower than 10％of the E.faecalis isolates were resistant to ampicillin,nitrofurantoin,linezolid,vancomycin,teicoplanin and fosfomycin.More than 90％of the E.faecium isolates were ressitant to ampicillin,levofloxacin and erythromycin.The percentage of strains resistant to vancomycin,linezolid or teicoplanin was＜2％.The E.coli,K.pneumoniae,P.aeruginosa and A.baumannii strains isolated from ICU inpatients showed significantly higher resistance rates than the corresponding strains isolated from outpatients and non-ICU inpatients.Conclusions E.coli,Enterococcus and K.pneumoniae are the most common pathogens in urinary tract infection.The bacterial species and antimicrobial resistance of urinary isolates vary with different populations.More attention should be paid to antimicrobial resistance surveillance and reduce the irrational use of antimicrobial agents.