Objective: To investigate the identification process of a case with anti-Fy combined with Rh blood group system antibodies and to review the transfusion strategy and epidemiological characteristics of Duffy blood group system antibodies. Methods: The antibody specificity of a patient diagnosed with liver cirrhosis, who exhibited unexpected antibodies, was determined using the microcolumn gel method, enzyme method, and elution test. A retrospective analysis was performed to assess the incidence and clinical characteristics of antibodies associated with the Duffy blood group system among a cohort of 652 003 patients treated at our hospital from 2014 to 2024. Results: The patient's serum contained anti-Fy , anti-c, and anti-E antibodies. Through the targeted recruitment of African international students, the patient successfully received four units of Fy -negative blood that matched the ABO and Rh phenotypes. Between 2014 and 2024, the incidence of Duffy blood group system antibodies was 0.005 7% (37 out of 652 003), with 9 cases (24.3%) combined with Rh antibodies. Conclusion: Patients with anti-Fy combined with Rh antibodies require Fy -negative blood with matched Rh phenotypes. Targeted recruitment based on racial antigen differences can effectively resolve rare blood type transfusion challenges.

Objective: To retrospectively investigate the clinical efficacy, safety, and management experience of a patient diagnosed with polycythemia vera (PV) at the age of 3 who underwent regular erythrocytapheresis for 7 years starting at the age of 10. Methods: Treatment was initiated when the patient's hematocrit was≥50%. The goal was to reduce the hematocrit to below 40%; the removal volume was calculated as 10%-15% of the total red blood cell mass, and an equal volume of normal saline was supplemented during the procedure. Pre-treatment precautions included avoiding fasting and high-fat diets. Post-treatment measures included lying flat for 30 minutes, reducing strenuous exercise for 2–3 days, and rechecking complete blood count 2–5 days after the procedure. During the procedure, adverse reactions such as palpitations, dyspnea, hypotension, and convulsions were monitored. Follow-up was conducted after 3 days to assess any delayed adverse effects. Results: As of August 2025, the patient had undergone a total of 16 erythrocytapheresis sessions. The average volume ranged from 212 to 500 mL. The frequency was 1 to 4 times annually. Post-procedure, hemoglobin (Hb) and hematocrit (Hct) were effectively controlled. Conclusion: Continuous erythrocytapheresis can effectively control Hb and Hct levels in PV patients, preventing adverse effects from the primary disease. Erythrocytapheresis demonstrates efficacy with minimal adverse reactions and can be used as a routine therapeutic technique for PV patients.

Locoregional therapy （LRT）， including transarterial chemoembolization， transarterial radioembolization， and various ablation techniques， is an important treatment method for hepatocellular carcinoma. Many studies in recent years have confirmed that LRT has a dual regulatory effect on tumor immune microenvironment. While LRT induces immunogenic cell death， activates dendritic cell-mediated and T cell-driven immunity， and triggers systemic antitumor responses， it concomitantly upregulates the adenosine signaling pathway， promotes the accumulation of TREM2⁺ macrophages， and enhances the expression of immunosuppressive factors， thereby forming an immunosuppressive microenvironment. At present， the combination of LRT and immune checkpoint inhibitors has shown a promising future and has promoted the exploration of novel targets within treatment-associated immunosuppressive pathways， such as adenosine， TREM2⁺ macrophages， and IL-6. This article summarizes the dual regulatory effect of LRT on immune microenvironment and highlights that multi-omics techniques and clinical trials should be used in the future to decipher its dynamic alterations， in order to optimize combination strategies， realize individualized precise treatment， and improve the prognosis of patients.

BACKGROUND: The available evidence regarding the benefits of percutaneous coronary intervention (PCI) on patients receiving dialysis with coronary artery disease (CAD) is limited and inconsistent. This study aimed to evaluate the association between PCI and clinical outcomes as compared with medical therapy alone in patients undergoing dialysis with CAD in China. METHODS: This multicenter, retrospective study was conducted in 30 tertiary medical centers across 12 provinces in China from January 2015 to June 2021 to include patients on dialysis with CAD. The primary outcome was major adverse cardiovascular events (MACE), defined as a composite of cardiovascular death, non-fatal myocardial infarction, and non-fatal stroke. Secondary outcomes included all-cause death, the individual components of MACE, and Bleeding Academic Research Consortium criteria types 2, 3, or 5 bleeding. Multivariable Cox proportional hazard models were used to assess the association between PCI and outcomes. Inverse probability of treatment weighting (IPTW) and propensity score matching (PSM) were performed to account for potential between-group differences. RESULTS: Of the 1146 patients on dialysis with significant CAD, 821 (71.6%) underwent PCI. After a median follow-up of 23.0 months, PCI was associated with a 43.0% significantly lower risk for MACE (33.9% [ n  = 278] vs . 43.7% [ n  = 142]; adjusted hazards ratio 0.57, 95% confidence interval 0.45-0.71), along with a slightly increased risk for bleeding outcomes that did not reach statistical significance (11.1% vs . 8.3%; adjusted hazards ratio 1.31, 95% confidence interval, 0.82-2.11). Furthermore, PCI was associated with a significant reduction in all-cause and cardiovascular mortalities. Subgroup analysis did not modify the association of PCI with patient outcomes. These primary findings were consistent across IPTW, PSM, and competing risk analyses. CONCLUSION This study indicated that PCI in patients on dialysis with CAD was significantly associated with lower MACE and mortality when comparing with those with medical therapy alone, albeit with a slightly increased risk for bleeding events that did not reach statistical significance.
Humans ; Percutaneous Coronary Intervention/methods* ; Male ; Female ; Coronary Artery Disease/drug therapy* ; Retrospective Studies ; Renal Dialysis/methods* ; Middle Aged ; Aged ; China ; Proportional Hazards Models ; Treatment Outcome

With the emergence of deep learning techniques based on convolutional neural networks, artificial intelligence (AI) has driven transformative developments in the field of medical image analysis. Recently, large language models (LLMs) such as ChatGPT have also started to achieve distinction in this domain. Increasing research shows the undeniable role of AI in reshaping various aspects of medical image analysis, including processes such as image enhancement, segmentation, detection in image preprocessing, and postprocessing related to medical diagnosis and prognosis in clinical settings. However, despite the significant progress in AI research, studies investigating the recent advances in AI technology in the aforementioned aspects, the changes in research hotspot trajectories, and the performance of studies in addressing key clinical challenges in this field are limited. This article provides an overview of recent advances in AI for medical image analysis and discusses the methodological profiles, advantages, disadvantages, and future trends of AI technologies.
Artificial Intelligence ; Humans ; Image Processing, Computer-Assisted/methods* ; Neural Networks, Computer ; Deep Learning ; Diagnostic Imaging/methods*

Enhancing the speed of microbial antimicrobial susceptibility testing (AST) is an urgent requirement for effective patient treatment, rational use of antimicrobial agents, and mitigating the development of microbial resistance. Novel rapid AST methods primarily involve advancing the observation timepoint of microbial growth. By capturing changes in microbial quantity, morphology, and metabolism during the early incubation phase—when microbial growth is invisible to the naked eye—these techniques utilize various devices and technologies to determine the resistance relationship between microorganisms and antimicrobial agents. This article reviews the current advancements in rapid AST from four perspectives: (1)monitoring microbial growth phenomena, (2)fluorescence labeling to indicate cellular activity, (3)detecting cellular metabolic states and products, and (4)matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS)-based rapid AST. The aim is to provide a reference for clinical microbial resistance management.