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.

Objective: Through analyzing the current handling capabilities for complex cases in blood transfusion compatibility detection and the application status of artificial intelligence-assisted (AI-assisted) technologies, this study explores the establishment of an effective AI-augmented protocol for managing challenging blood transfusion compatibility detection. Methods: This research systematically analyzes, designs, and explores an AI-augmented operational workflow for resolving challenging blood transfusion compatibility detection cases. Through three representative case studies, we evaluate its effectiveness, accuracy, and efficiency in addressing real-world diagnostic challenges. Results: The AI-augmented operational model demonstrates significant efficacy in resolving complex blood transfusion compatibility challenges, including complex blood typing, antibody specificity identification, challenging cross-matching, and transfusion strategy formulation. Conclusion: AI-augmented technologies demonstrate immense potential in resolving complex blood transfusion compatibility detections. By enabling intelligent, automated, precise, and standardized solutions, they significantly enhance diagnostic accuracy and operational efficiency, which is critical for ensuring transfusion safety and advancing personalized transfusion medicine. This study delineates both the advantages and existing limitations of AI implementation, explores future developmental trajectories, and provides a theoretical framework and practical implementation pathways for deeper integration of AI in transfusion medicine.

Aim To investigate the effects of harpagide on cerebral ischemia and the mitochondria mediated Caspase dependent apoptotic signaling pathway in mice.Methods The MCAO was employed to establish MCAO model.When the models were established, the mice were given harpagide (4, 8, 12 mg·kg-1) and edaravone (3.2 mg·kg-1) [0.1 ml·(10 g)-1] by tail vein injection after MCAO immediately.And the model and control mice were given equivalent normal saline by the same way.After MCAO for 6 h, the behavior, volume of cerebral ischemia and pathological changes in the brain were observed.Westernblot was employed to determine the contents of Cyt C in mitochondrion and pro-caspase-3 in endochylema.Results Compared with the model group, harpagide (4, 8, 12 mg·kg-1) could significantly decrease the increased nerve functional score, brain index, brain water content and volume of cerebral ischemia induced by cerebral ischemia.Harpagide (4, 8, 12 mg·kg-1) could reduce the contents of Cyt C in mitochondrion and pro-caspase-3 in endochylema.Conclusion Harpagide may have protective effect on the cerebral ischemia injury in mice, which might be related to the inhibition of the cerebral mitochondria mediated Caspase dependent apoptotic signaling pathway.

Objective To study clinical effects and complications of minimal invasive neurosurgery for pituitary adenoma through superciliaryarch-keyhole approach. Methods 127 cases pituitary adenoma in three hospitals in Shangdong province from May. 2006 to Sept. 2009 confirmed by surgery were analyzed. Patients were treated by different operative approaches, 53 cases using surgery through superciliaryarch-keyhole approach and 74 cases through conventional subfrontal approach. Clinical parameters were compared in patients undergoing surgery through different approaches. Results There were no differences in two groups, in aspects such as resection rate, improvment of endocrine hormone secretion and acuity of vision with campus visualis, electrolyte disturbances, hypothalamus damage (P ＞0.05). Significant differeces reside in average hospitalization days, subcutaneous fluidify, psychiatric symptom and circumscribed cerebral ischemia ( P ＜ 0.05 ). Conclusion Advantages of minimal invasive neurosurgery through superciliary arch approach such as less trauma, better expose,shorter hospitalization days, less subcutaneous fluid accumulation and psychiatric symptoms in terms of this apporach are suitable for removing hypophyseal adenomas that grow on or around sella turcica.