[Objective] To explore the strategy of blood management in patients with massive transfusion in the frigid plateau region. [Methods] The treatment process of a patient with liver rupture in the frigid plateau region was analyzed, and the blood management strategy of the frigid plateau region was discussed in combination with the difficulties of blood transfusion and literature review. [Results] The preoperative complete blood count (CBC) test results of the patient were as follows: RBC 3.14×10¹²/L, Hb 10⁶ g/L, HCT 30.40%, PLT 115.00×10⁹/L; coagulation function: PT 18.9 s, FiB 1.31 g/L, DD > 6 μg/mL, FDP 25.86 μg/mL; ultrasound examination and imaging manifestations suggested liver contusion and laceration / intraparenchymal hematoma, splenic contusion and laceration, and massive blood accumulation in the abdominal cavity; it was estimated that the patient's blood loss was ≥ 2 000 mL, and massive blood transfusion was required during the operation; red blood cell components were timely transfused during the operation, and the blood component transfusion was guided according to the patient's CBC and coagulation function test results, providing strong support and guarantee for the successful treatment of the patient. The patient recovered well after the operation, and the CBC test results were as follows: RBC 4.32×10¹²/L, Hb 144 g/L, HCT 39.50%, PLT 329.00×10⁹/L; coagulation function: APTT 29.3 s, PT 12.1 s, FiB 2.728 g/L, DD>6 μg/mL, FDP 25.86 μg/mL. The patient was discharged after 20 days, and regular follow-up reexamination showed no abnormal results. [Conclusion] Individualized blood management strategy should comprehensively consider the patient’s clinical symptoms, the degree of hemoglobin decline, dynamic coagulation test results and existing treatment conditions. Efficient and reasonable patient blood management strategies can effectively improve the clinical outcomes of massive transfusion patients in the frigid plateau region.

The widespread application of medical artificial intelligence （AI） has brought technological breakthroughs to traditional diagnosis and treatment and has also altered the traditional doctor-patient interaction mode and formed a new doctor-patient relationship of “doctor-medical AI-patient” which faces a series of challenges. The intervention of AI may form a new “paternalistic style，” affecting the shared decision-making model. When its recommendations lack explanation， it may lead to clinical decision-making paralysis and affect the doctor-patient trust relationships. There may be confusion between the roles and responsibilities of AI and doctors in the process of medical practice， affecting the establishment of an emotionally responsible doctor-patient relationship. Through an in-depth analysis of the impact and causes of medical AI on the doctor-patient relationships， this paper proposed that a collaborative mechanism should be established between AI and professional doctors to complement each other， clarifying the auxiliary status of AI， reinforcing the dominant role of doctors， enhancing the regulatory mechanism， and dynamically improved the doctor-patient relationships to promote the healthy and orderly development of smart healthcare.

OBJECTIVE To investigate the ameliorating effect and mechanism of the effective substance groups from Artemisia ordosica（Abbreviated as HSH） on rheumatoid arthritis （RA） based on cluster of differentiation 4/lymphocyte cell-specific protein- tyrosine kinase/zeta-chain-associated protein kinase of 70 kDa/interleukin-17（CD4/LCK/ZAP70/IL-17） signaling pathway. METHODS The rats were divided into normal group， model group， HSH low-dose， medium-dose and high-dose groups （2.7， 10.8， 21.6 mg/kg） and positive control group （Tripterygium glycosides tablet， 6.3 mg/kg）， with 10 rats in each group. Except for normal group， RA rat model was induced by complete Freund’s adjuvant in other groups. After modeling， each group was given relevant medicine or normal saline intragastrically， once a day， for 28 consecutive days. The changes in ankle joint swelling and arthritis index in rats were determined； the pathological changes of ankle joint tissue were observed； the levels of inflammatory factors [IL-1β， IL-21， IL-17A， IL-2， interferon-γ （IFN-γ） and IL-6] in serum and joint fluid of rats were determined； the levels of Th1， Th17 and Treg cells in the whole blood and spleen of rats were detected； protein and mRNA expressions of LCK， proto-oncogene tyrosine-protein kinase Fyn （Fyn）， ZAP70， CD45， RAR-related orphan receptor γt （RORγt）， and forkhead box protein 3 （Foxp3） in ankle synovial tissue were determined. RESULTS Compared with normal group， the changes in ankle joint swelling， arthritis index， the levels of IL-1β， IL-21， IL-17A， IL-2， IFN-γ and IL-6 in serum and joint fluid， the levels of Th1， Th17 cells and Th17/Treg value in whole blood and spleen， and the protein and mRNA expression levels of LCK， Fyn， ZAP70， CD45， and RORγt in ankle joint synovium were all significantly increased/elevated （P＜0.05）. The level of Treg cells in the spleen， as well as the protein and mRNA expression levels of Foxp3 in the ankle joint synovium were significantly decreased （P＜0.05）. Compared with model group， most of the above-mentioned indicators were significantly reversed in the positive control group and all dose groups of HSH （P＜0.05）. The degree of pathological changes in ankle joint tissues was markedly improved， and inflammation was alleviated. CONCLUSIONS HSH can regulate the cascade reactions in the CD4/LCK/ZAP70/IL-17 pathway within the T-cell receptor signaling pathway， thereby modulating the Th17/Treg balance. This leads to the suppression of inflammatory responses and the alleviation of synovial tissue damage in rats with RA.

BACKGROUND: Endoscopic sphincterotomy (EST) is widely used to treat common bile duct stones (CBDS); however, long-term studies have revealed the increasing incidence of recurrent CBDS after EST. Loss of sphincter of Oddi function after EST was the main cause of recurrent CBDS. Reparation of the sphincter of Oddi is therefore crucial. This study aims to investigate the effectiveness and safety of endoclip papilloplasty (ECPP) for repairing the sphincter of Oddi and elucidate its mechanism. METHODS: Eight healthy Bama minipigs were randomly divided into the EST group and the ECPP group at a 1:1 ratio, and bile samples were collected before endoscopy and 6 months later. All minipigs underwent transabdominal biliary ultrasonography for the diagnosis of cholelithiasis 6 months after endoscopy. The biliary microbiota composition and alpha and beta diversity were analyzed by 16S ribosomal RNA gene sequencing. Differential metabolites were analyzed by bile acid metabolomics to explore the predictive indicators of cholelithiasis. RESULTS: Three minipigs were diagnosed with cholelithiasis in the EST group, while none in the ECPP group showed cholelithiasis. The biliary Firmicutes/Bacteroidota (F/B) ratio was increased after EST and decreased after ECPP. The Chao1 and observed species index significantly decreased 6 months after EST ( P  = 0.017 and 0.018, respectively); however, the biliary α-diversity was similar before and 6 months after ECPP. The β-diversity significantly differed in the EST group before and 6 months after EST, as well as in the ECPP group before and 6 months after ECPP (analysis of similarities [ANOSIM]: R  = 0.917, P  = 0.040; R  = 0.740, P  = 0.035; respectively). Glycolithocholic acid (GLCA) and taurolithocholic acid (TLCA) accumulated in bile 6 months after EST. CONCLUSIONS ECPP has less impact on the biliary microenvironment than EST and prevents duodenobiliary reflux by repairing the sphincter of Oddi. The bile levels of GLCA and TLCA may be used to predict the risk of cholelithiasis.
Animals ; Swine, Miniature ; Swine ; Cholelithiasis/prevention & control* ; Sphincterotomy, Endoscopic/methods* ; Sphincter of Oddi/surgery* ; Female ; Male

Objective To analyze the epidemiological characteristics of acute respiratory infections(ARIs)during the autumn-winter season in Beijing,providing evidence for the prevention,control,diagnosis,and treatment of ARIs.Methods A convenience sampling method was employed,enrolling patients who visited Peking Union Medical College Hospital(PUMCH)between September 2023 and February 2024 due to ARIs.Na-sopharyngeal swabs were collected,and real-time fluorescence quantitative PCR was used to detect six common respiratory pathogens[influenza A virus(FluA),influenza B virus(FluB),human rhinovirus(HRV),Myco-plasma pneumoniae(MP),respiratory syncytial virus(RSV),and adenovirus(ADV)],as well as SARS-CoV-2 infection.The distribution patterns of pathogen infections were analyzed.Results A total of 5556 eligible patients were included.The overall positivity rate for the six common respiratory pathogens was 63.7％,with sin-gle-pathogen positivity at 54.0％,dual-pathogen positivity at 8.9％,and triple or more pathogen positivity at 0.7％.The predominant pathogens detected were FluA(16.1％)and RSV(15.7％),followed by ADV(11.1％),MP(11.1％),HRV(10.0％),and FluB(10.0％).No significant difference in overall pathogen positivity was observed between genders.However,significant differences were found between autumn and winter(x2=34.617,P＜0.001)and among pediatric,young/middle-aged,and elderly patients(x2=422.38,P＜0.001).Specifically,MP(x2=8.647,P=0.003),FluA(x2=131.932,P＜0.001),and HRV(x2=174.199,P＜0.001)exhibited significantly higher positivity rates in autumn than in winter,whereas FluB was more prevalent in winter(x2=287.894,P＜0.001).In pediatric patients,MP,RSV,HRV,and ADV positivity rates were significantly higher than in young/middle-aged and elderly patients(all P＜0.001),whereas FluB was more common in young/middle-aged patients(both P＜0.001).The positivity rates of the six common respiratory pathogens significantly declined during the SARS-CoV-2 epidemic period,exhibiting an asynchronous seasonal pattern.Conclusions The prevalence of respiratory pathogens in Beijing is associated with age and season.Tar-geted preventive measures should be implemented in different seasons and for key populations.

Antimicrobial resistance (AMR) has emerged as a major global public health challenge, with traditional prevention and control methods exhibiting significant limitations in detection efficiency, data processing, and clinical decision-making. Leveraging its robust capabilities in data analysis and pattern recognition, artificial intelligence (AI) technology has been widely applied across multiple critical aspects of AMR containment. Current evidence demonstrates that AI technologies can significantly enhance the efficiency of resistancediagnosis, optimize personalized treatment strategies, and improve real-time monitoring of resistant pathogen transmission. Despite persistent challenges such as data heterogeneity, model interpretability, and ethical compliance in practical applications, AI holds immense promise in supporting precision infection management and addressing the growing crisis of antimicrobial resistance.This article systematically reviews the clinical applications of AI in AMR prevention and control, including resistance detection and prediction based on mass spectrometry and genomic data, the use of clinical decision support systems in anti-infective therapy, as well as the role of AI in epidemiological surveillance, pathogen tracking, early warning systems, and novel antimicrobial drug discovery aiming to provide reference for clinical practice.

Infectious diseases caused by bacteria,viruses,and other pathogens are a significant global public health challenge.Accurate and efficient detection methods are crucial for the diagnosis and prevention of infec-tious diseases.Nucleic acid detection technologies based on the clustered regularly interspaced short palin-dromic repeats(CRISPR)and CRISPR-associated protein(Cas)systems have begun to be applied in the de-tection of pathogenic microorganisms due to their high sensitivity,high specificity,and rapid simplicity.In re-cent years,various convenient and efficient nucleic acid detection technologies and platforms for pathogenic microorganisms have been derived from the CRISPR/Cas system,further expanding the field of pathogen nu-cleic acid detection.This article summarizes the research progress of pathogen nucleic acid detection technolo-gies based on the CRISPR/Cas system,discusses the value of these detection technologies in the in vitro diag-nosis of pathogens,and provides references for the further development of CRISPR/Cas nucleic acid detection technologies.

Objective To analyze the main epidemiological characteristics of fungal infection in this hospital in the past 7 years,and to provide reference for clinical treatment and prevention and control strategies of fun-gal infection.Methods The fungal data and clinical data of related patients isolated from clinical samples in Peking Union Medical College Hospital from early January 2018 to the end of May 2024 were selected,and the main epidemiological characteristics of fungal infection in this hospital were identified and described through multi-angle statistical analysis.Results A total of 4 479 patients with filamentous fungal infection were en-rolled.The proportion of male patients[57.5％(2 576/4 479)]was higher than that of female patients[42.5％(1 903/4 143)],mainly distributed in internal medicine,Intensive Care Unit(ICU)and emergency de-partment,among which internal medicine accounted for the highest proportion[50.0％(2 241/4 479)].About 90.0％of the specimens were from the lower respiratory tract,in addition to specimens from skin and soft tis-sue,tissue,ear and blood culture.In terms of seasonal distribution,there are more patients in winter.The fun-gi were mainly composed of Aspergillus,Mucor,Cerdosporium,Fusarium and Penicillium,among which As-pergillus was the most abundant,accounting for 74.6％of the total.Aspergillus fumigatus was the most a-bundant Aspergillus,accounting for 42.5％of the total Aspergillus(1 418/3 340).Among the related infec-tions caused by mold,Aspergillus was the most common in the lower respiratory tract,accounting for 76.8％.Among them,Aspergillus fumigatus accounted for the highest proportion(33.6％).98.6％of the molds infected the ear were Aspergillus,of which Aspergillus niger and Aspergillus terreus were the most common.Skin infections are mainly caused by Sporothrix schenckii,Trichophyton rubrum,Microsporum ca-nis.The results of in vitro drug sensitivity test showed that the four common Aspergillus isolated in this hos-pital were sensitive to voriconazole,and amphotericin B had better antifungal activity against Mucorales in vitro.Conclusion Based on the main epidemiological characteristics of fungal infections in this hospital,it is recommended that special attention be paid to the admission of patients in the respiratory department during the peak infection period in autumn and winter.In the treatment of fungal infections in different regions and on different body parts,attention should be paid to the differences in the distribution of bacterial species.

Objective:To investigate the CLEC3B protein of differentially expressed proteins(DEPs)in serum of normal persons and patients with sepsis,and explore the possibility that target C-type lectin domain family 3 member B(CLEC3B)protein was used as molecular markers of sepsis.Methods:Peripheral bloods of 10 healthy persons and 18 patients with sepsis were collected,and the data of peripheral serum proteins were collected by data independent acquisition(DIA)method.The data were uploaded to iDEP online platform to analyze the DEPs in peripheral blood of patients with sepsis.Bioinformatics analysis of these DEPs was conducted to screen out the key proteins of sepsis.Enzyme linked immunosorbent assay(ELISA)was used to verify and plot the receiver operating characteristic(ROC)curves of key proteins.Results:A total of 138 differentially expressed proteins(DEPs)were screened out by using proteomics analysis,of which 34 kinds of proteins were significantly down-regulated and 104 kinds of proteins were significantly up-regulated.DEPs mostly concentrated in cellular processes,biological regulation,biological process regulation,participating binding,catalytic activation,molecular function regulation,immune system,signal transduction and so on.A protein-protein interaction network was constructed by DEPs,which screened out the key protein CLEC3B.ELISA results showed that the CLEC3B protein concentration[(297.73±22.00)ng/mL]of patients in the sepsis group was significantly lower than that[(452.42±191.72)ng/mL]in the healthy group,and the difference was statistically significant(t=13.13,P=0.000).The area under curve(AUC)value of ROC curve,sensitivity and specificity of CLEC38 protein were respectively 0.998,97.73%and 100.0%.Conclusion:CLEC3B is significantly decreased in sepsis group,which sensitivity and specificity are high.It can be used as a potentially biological diagnostic biomarker of sepsis.