A 42-year-old male with chest tightness and dyspnea was admitted to the hospital. Chest CT indicated diffuse interstitial lung infiltration. Despite receiving anti-infective therapy, glucocorticoid therapy, and immunosuppressive agents, the patient developed refractory hypoxaemia. Endotracheal intubation and invasive mechanical ventilation failed to improve oxygenation. Therefore the patient was diagnosed with rapidly progressive interstitial lung disease (RP-ILD) accompanied by type Ⅰ respiratory failure. Veno-venous (VV) extracorporeal membrane oxygenation (ECMO) was initiated, and oxygenation improved in this patient. The patient subsequently underwent bilateral lung transplantation with veno-arterio-venous (VAV) ECMO support. ECMO machine was withdrawn on day 1, and extubation was achieved on day 9 after surgery. Histopathology revealed fibrotic nonspecific interstitial pneumonia (NSIP) with hyaline membrane formation. The patient developed ICU-acquired myasthenia and received early rehabilitation, with gradual recovery of muscle strength. During follow-up, graft lung function remained stable. This case demonstrates that ECMO can serve as a bridge to lung transplantation in RP-ILD patients.

Objective: To report the antibody identification, blood management during pregnancy and the monitoring process of fetal hemolytic disease of fetus and newborn (HDFN) in a pregnant woman with a history of blood transfusion and pregnancy who developed anti-Jr . Methods: Saline tube technique and anti-human globulin technique were used for maternal blood typing, unexpected antibody screening and identification, as well as for determining antibody titer and IgG subclasses. PCR-SSP was employed for genotyping of 18 blood group systems. Next-generation sequencing (NGS) was utilized for gene sequencing of 38 blood group systems. Sanger sequencing was applied to verify rare blood group mutations detected by NGS and to investigate the corresponding rare blood group genes in family members. Blood preparation was achieved through anemia management in prenatal clinics and autologous blood collection during pregnancy. The newborn underwent the three primary tests for HDFN and plasma IgG subclass testing. Results: The pregnant woman's blood type was B, RhD positive, with a positive unexpected antibody screen, and the antibody identification pattern was consistent with a high-frequency antigen antibody. Gene sequencing revealed a homozygous ABCG2 c.376C>T mutation in the woman, resulting in the Jr(a-) phenotype, and anti-Jr antibody was present in her plasma. No compatible Jr(a-) blood was found among family members. The maternal anti-Jr IgG titer remained stable at 256 during pregnancy, with no detectable IgG1 or IgG3 subclasses against the Jr antigen. A total of 800 mL of autologous blood was collected in two stages during pregnancy. The newborn was B, RhD positive, Jr(a+), with a positive unexpected antibody screen (anti-Jr ). IgG subclass typing detected no IgG1 or IgG3. The direct antiglobulin test was positive, while the acid elution test was negative. Conclusion: The combination of serology and blood group genetic analysis provides a diagnostic basis for identifying antibodies to high-frequency antigens. Managing perinatal anemia and implementing staged autologous blood storage can secure blood supply for the perioperative period. IgG antibody subclass typing offers a reference for clinical assessment and prevention of HDFN.

In this study, the synthetic process of 18α-glycyrrhizic acid was optimized. Using 18β-glycyrrhizic acid monoammonium salt as the starting material, the target compound 18α-glycyrrhizic acid was obtained through isomerization, esterification, and hydrolysis, with a total yield of 9.43%, purity of 99.23% and key impurity A of 0.17% (HPLC). The optimized process significantly improved the isomerization conversion rate, reduced the formation of related substances, simplified the purification steps, and enhanced both industrial scalability and cost efficiency.

Blood transfusion is an important life-support measure in modern medicine. As clinical demand for transfusion continues to rise, blood supply remains under persistent strain, making the efficient utilization of this precious medical resource a critical component of blood management. Accurate prediction of transfusion needs is of great significance for optimizing blood resource allocation and conserving blood products. Traditional transfusion decision-making relies on clinical experience and simplified scoring systems, which are insufficient to meet the demands of precision medicine. Machine learning (ML) technology can integrate multidimensional data—including demographic characteristics, laboratory indicators, surgical information, and dynamic physiological waveforms—to construct high-performance predictive models, offering a new approach to transfusion prediction. This article systematically reviews the application progress of ML in transfusion prediction across clinical scenarios such as trauma, the perioperative period, and obstetrics. In trauma, ML has been applied to early massive transfusion prediction, prehospital transfusion decision-making, and precise prediction in pediatric trauma. In the perioperative field, applications span specialties including traumatic brain injury, orthopedic surgery, cardiovascular and major vascular surgery, and hepatic surgery. In obstetrics, models can effectively predict postpartum hemorrhage and transfusion requirements associated with cesarean section. Studies have shown that algorithms such as random forest, gradient boosting machines, and deep neural networks achieve area under the receiver operating characteristic curve (AUC) values of 0.83-0.98 in massive transfusion prediction, 0.75-0.97 in perioperative scenarios, and 0.80-0.89 in obstetric transfusion prediction—significantly outperforming traditional scoring tools. However, current studies are generally limited by single-center retrospective designs, insufficient external validation, and inadequate reporting standards; limited model interpretability and challenges in clinical integration further constrain practical translation. Future research should focus on constructing multicenter data cohorts, integrating multimodal data, conducting prospective implementation studies, and deeply embedding models within electronic health record systems, thereby advancing the application of ML to optimize clinical transfusion decision-making.

Objective To evaluate the performance of lightweight Chinese large language models (LLMs) in answering specialized lung cancer questions, and to explore the impact of retrieval-augmented generation (RAG) on model performance. Methods Eleven lightweight Chinese LLMs with parameter sizes ranging from 7B to 32B were included. A lung cancer-specific evaluation dataset consisting of 200 questions [100 A1-type (basic knowledge) and 100 A2-type (clinical case) questions], constructed based on clinical guidelines and thoracic surgery textbooks, was used for assessment. Model performance was evaluated under two conditions (with and without RAG). Accuracy was used to assess model performance, and response latency was recorded to reflect inference efficiency. An accuracy–latency scatter plot was constructed for descriptive analysis of overall model performance. Results All models successfully completed the evaluation. With the introduction of RAG, the overall average accuracy improved from 61.68% to 76.36%. Smaller models demonstrated the most significant improvement (e.g., the accuracy of DeepSeek-7B increased from 32.50% to 60.00%, P<0.001). The average response latency increased from 12.58 s to 13.80 s. The Qwen3 series showed the best overall performance, and Qwen3-32B achieved the highest accuracy under both conditions (76.50% and 84.00%, respectively). After RAG integration, performance differences among model families were markedly reduced. Based on the accuracy-latency trade-off, Qwen3-32B achieved the best balance between accuracy and response latency under the baseline condition, whereas Qwen3-14B demonstrated superior overall performance in terms of accuracy, latency, and computational cost after RAG integration. Conclusion The integration of RAG technology improves the ability of lightweight Chinese LLMs to answer specialized lung cancer questions. Under the dual practical constraints of limited computational resources and medical data security requirements, the "lightweight model+RAG" technical framework may represent a promising deployment solution.

Objective:To investigate the association between serum ferritin levels, erythrocyte parameters, and the risk of developing type 2 diabetes mellitus.Methods:A total of 11 408 subjects aged 40 to 70 years who underwent physical examinations at a hospital in Qingdao from 2014 to 2015 were enrolled in the study. Data were collected through questionnaires, physical examinations, and assessments of blood biochemical indices, serum ferritin, and related erythrocyte parameters. A multivariate logistic regression model was employed to analyze the relationship of serum ferritin and red cell parameters with type 2 diabetes mellitus, while a linear regression model was utilized to examine the association between serum ferritin, red cell parameters and fasting blood glucose levels.Results:The median ( Q1, Q3) age of the subjects was 51 (45, 58) years, with 55.3% (6 305) being male. The prevalence of type 2 diabetes in women was 5.9% (300/5 103), which was lower than that in men [13.0% (817/6 305)] ( P<0.001).After adjusting for age, sex, body mass index (BMI), smoking status, alcohol consumption, and family history of diabetes, serum ferritin levels were found to be positively associated with both type 2 diabetes and fasting blood glucose levels, with OR (95% CI) and β(95% CI) values of 1.70 (1.37, 2.11) and 0.002 (0.002, 0.003), respectively. Additionally, hemoglobin, red blood cell count, and hematocrit were positively correlated with type 2 diabetes and fasting blood glucose, with OR (95% CI) values of 1.72 (1.32, 2.24), 1.91 (1.51, 2.41), and 1.52 (1.17, 1.97), and β (95% CI) values of 0.008 (0.006, 0.011), 0.365 (0.286, 0.445), and 2.543 (1.564, 3.521), respectively. Conversely, mean erythrocyte volume was negatively associated with type 2 diabetes and fasting blood glucose, with OR (95% CI) and β (95% CI) values of 0.54 (0.45, 0.66) and -0.017 (-0.023, -0.011), respectively (all P values<0.001). Conclusion:The findings indicate that serum ferritin and related erythrocyte parameters are significantly correlated with the risk of type 2 diabetes mellitus and fasting blood glucose levels.

Objective:To analyze the utilization of pre-exposure prophylaxis (PrEP) service against HIV and related factors in young men who have sex with men (MSM) in Hangzhou.Methods:A cross-sectional study design was used in this questionnaire survey in young MSM recurited through local MSM social organization in Hangzhou from September 2022 to March 2023. The estimated sample size was 242. The information about the social-demographic characteristics, behavioral characteristics, utilization of the post exposure prophylaxis (PEP) service, awareness and utilization of PrEP service of the young MSM were collected. Logistic regression model was used to analyze the related factors of the PrEP utilization.Results:A total of 273 young MSM aged 16- 24 years were surveyed in the study. A total for 20.1% (55/273) of them had used PrEP service. Multivariate logistic regression analysis showed that the factors related to PrEP service utilization included age 16-20 years (a OR=3.03, 95% CI:1.12-8.20), education level of senior high school or below (a OR=2.83, 95% CI:1.09-7.35), full-time/part-time work (a OR=3.25, 95% CI: 1.26-8.38), homosexual activity in the past 6 months (a OR=6.71, 95% CI:1.84-24.55), inquiring medical staff about PrEP (a OR=4.71, 95% CI:1.99-11.13) and PEP service use (a OR=6.09, 95% CI:2.69-13.81). Conclusions:The utilization rate of PrEP service was low in young MSM in Hangzhou. It is necessary to strengthen the health education about PrEP and improve the undertanding of PrEP and service capability of medical staff to promote the utilization of PrEP service in young MSM.

Objective To explore the mechanism of Wenyang Yiqi Huoxue Prescription(WYYQHXP)in the treatment of chronic heart failure(CHF)by regulating miR-126-3p and PI3K/Akt signaling pathway based on network pharmacology and experimental studies.Methods Active components and targets of WYYQHXP were obtained through TCMSP,SwissTargetPrediction,SwissADME and PubChem.Four miRNA databases were used to obtain miR-126-3p targets,and four disease databases were used to obtain CHF related targets.The intersection of the three was taken as the potential target of action;the protein-protein interaction network relationships of potential targets were explored using STRING and Cytoscape 3.9.1 software,and the main active components and core targets were screened;GO and KEGG pathway enrichment analysis was performed using R 4.2.1 software;Molecular docking was performed on the main active components with the core targets.Isoproterenol was used to induce a rat model of CHF with qi deficiency and blood stasis syndrome,and intervened with WYYQHXP.MiR-126-3p and core target expression in coronary endothelial cells were detected by immunohistochemistry,RT-qPCR,and Western blot.Results Network pharmacology screened main active components of WYYQHXP,including β-sitosterol,doustanol,kaempferol,quercetin,baicalein and luteolin,and the core targets of EGFR,VEGFA and AKT1;KEGG was enriched to the signaling pathways such as PI3K/Akt,and the 3 core targets were distributed to the PI3K/Akt signaling pathway;molecular docking showed good binding ability of β-sitosterol and stigmasterol to three core targets.Animal experiments showed that WYYQHXP could increase left ventricular ejection fraction and left ventricular fractional shortening in model rats(P<0.01),reduce serum brain natriuretic peptide content(P<0.01),increase expression of miR-126-3p(P<0.05,P<0.01,P<0.001),the medium-dosage of WYYQHXP could increase mRNA and protein expressions of EGFR,PI3K,AKT1 and VEGFA in coronary endothelial cells(P<0.01).Conclusion WYYQHXP may activate PI3K/Akt signaling pathway by acting on miR-126-3p,thereby restoring endothelial dependent vasodilation of coronary arteries,repairing endothelial dysfunction of coronary arteries,and treating CHF.

Poly(lactic-co-glycolide)(PLGA)is a key excipient in long-acting sustained-release preparations,and its degradation properties directly affect the drug release behavior.In this study,PLGA microspheres were prepared by microfluidic techniques,and the morphology changes of the microspheres were observed by scanning electron microscopy(SEM).In alkaline environment,due to the accelerated hydrolysis of ester bonds,the surface of the microspheres was rapidly dissolved and eroded,and the degradation rate was significantly higher than that in acidic environment.High temperature accelerated the degradation of PLGA microspheres.Under neutral and alkaline conditions,the microspheres showed aggregation and adhesion.Under acidic conditions,the microspheres gradually decomposed into irregular fragments.The high ionic strength further promoted the surface corrosion of the microspheres,especially under extreme pH conditions.Simultaneously,PLGA microspheres encapsulating coumarin were prepared to simulate the microsphere formulation.The release rate of coumarin after degradation of the microspheres under different conditions was observed by measuring the absorbance with ultraviolet-visible spectrophotometry.The results were consistent with those of the blank microspheres.This study revealed that the degradation of PLGA microspheres was significantly pH-dependent,temperature sensitive and ion strength responsive.These findings not only helped to understand and optimize the long-term stability and controlled release performance of drug-carrying microspheres,but also provided a theoretical basis for further improvement of PLGA-based drug carrier design.

Objective To investigate the carrying status and drug resistance analysis of pathogenic bacteria in the gut of healthy population in Huadu District,Guangzhou,and provide reference for epidemiological re-search.Methods A total of 337 459 anal swabs were directly isolated and cultured from healthy individuals who underwent physical examinations from 2018 to 2023.600 anal swabs from 2022 were randomly selected for multi pathogen nucleic acid testing,direct isolation and culture,and enrichment culture.Identification of bacteria was conducted by using VITEK 2 Compact and VITEK MS,serological testing was used for determi-nation of type,and drug susceptibility testing of pathogenic bacteria was conducted.Results A total of 128 pathogenic bacteria were isolated from rectal swabs,including 52 strains of Salmonella,71 strains of Aero-monas,3 strains of Vibrio parahaemolyticus,and 2 strains of Shigella flexneri,with a total detection rate of 3.79/10 000.The detection rate of Salmonella in direct isolation and culture of 600 rectal swabs was 0.50％,the detection rate of enrichment culture was 1.00％,and the detection rate of multi-pathogen nucleic acid de-tection was 1.17％.52 strains of Salmonella were divided into 27 serotypes,and Salmonella Ⅰ 4,5,12:i:—was the dominant serotype.Aeromonas sobria was the dominant serotype in Aeromonas.The sensitivity of Salmonella to piperacillin/tazobactam,imipenem,cefepime,levofloxacin,and aztreonam was up to 92.00％or more,however,the phenomenon of multidrug resistance was severe,with a multidrug resistance rate as high as 40.38％.The resistance rate of Aeromonas to ampicillin and ampicillin/sulbactam was up to 85.00％or more,while Aeromonas was relatively sensitive to other antibiotics.Conclusion There are many species and types of intestinal pathogenic bacteria carried by healthy individuals in Huadu District,Guangzhou,with Aero-monas and Salmonella ranking first and second,and levofloxacin treatment could be preferred.The use of bac-terial culture and multi pathogen nucleic acid testing methods could improve the detection rate of intestinal pathogenic bacteria,and attention should be paid to the monitoring of intestinal pathogenic bacteria among rel-evant practitioners.