Objective:To identify the relevant factors for the first-course remission of acute myeloid leukemia (AML) and to develop a predictive model as well as assess its predictive capability.Methods:Clinical data of 749 patients newly diagnosed with AML admitted to the Department of Hematology, the First Affiliated Hospital, Zhejiang University, School of Medicine from January 1, 2019, to April 30, 2023, were collected and randomly divided into training and validation sets. Multivariate logistic regression analysis was conducted to determine variables associated with complete remission in the first course of induction therapy, and a predictive model was established based on these variables. The receiver operating characteristic (ROC) curve of the predictive model was plotted, and the area under the curve (AUC) was calculated.Results:The indicators predicting the first remission course included peripheral blood white blood cell count during onset, CBF::MYH11 fusion gene, CEBPA bZIP region mutation, myelodysplastic syndrome-related gene mutation, and induction chemotherapy regimen selection as independent factors for the first remission course. The model’s area under the training and validation curves was 0.738 (95% CI: 0.696-0.780) and 0.726 (95% CI: 0.650-0.801), respectively. The Hosmer-Lemeshow test results yielded P-values of 0.993 and 0.335, respectively. Conclusion:In this study, the developed model demonstrates a strong predictive capability for the efficacy of the first course of patients with AML, providing valuable guidance to clinicians in assessing patient prognosis and selecting appropriate treatment strategies.

Intraoperative hemodynamic monitoring and management are essential components of periopera-tive care for adult patients undergoing non-cardiac surgery,as they are critical for maintaining adequate tissue perfusion and preventing organ dysfunction.In June 2025,the European Society of Anaesthesiology and Intensive Care(ESAIC)published the"Statement on Intraoperative Hemodynamic Monitoring and Management in Adult Non-Cardiac Surgery."Developed by a panel of 25 international multidisciplinary experts using an evidence-based approach,this statement addresses six key domains:arterial blood pressure management,heart rate regulation,stroke volume and cardiac output monitoring,assessment of cardiac preload and fluid responsiveness,application of microcirculation monitoring techniques,and integrated management of anesthesia depth with cerebral oxygen saturation monitoring.This article provides a comprehensive interpretation of the statement's core recommenda-tions,including guidance on the selection and limitations of monitoring modalities,as well as specific management targets for instance,recommending a mean arterial pressure of at least 60 mmHg as a threshold for intervention and explicitly advising against the use of arterial pressure as a surrogate for cardiac output.The objective is to offer practical clinical guidance for anesthesiologists and to enhance the precision and effectiveness of intraoperative hemodynamic management in adult non-cardiac surgical patients.

Intraoperative hemodynamic monitoring and management are essential components of periopera-tive care for adult patients undergoing non-cardiac surgery,as they are critical for maintaining adequate tissue perfusion and preventing organ dysfunction.In June 2025,the European Society of Anaesthesiology and Intensive Care(ESAIC)published the"Statement on Intraoperative Hemodynamic Monitoring and Management in Adult Non-Cardiac Surgery."Developed by a panel of 25 international multidisciplinary experts using an evidence-based approach,this statement addresses six key domains:arterial blood pressure management,heart rate regulation,stroke volume and cardiac output monitoring,assessment of cardiac preload and fluid responsiveness,application of microcirculation monitoring techniques,and integrated management of anesthesia depth with cerebral oxygen saturation monitoring.This article provides a comprehensive interpretation of the statement's core recommenda-tions,including guidance on the selection and limitations of monitoring modalities,as well as specific management targets for instance,recommending a mean arterial pressure of at least 60 mmHg as a threshold for intervention and explicitly advising against the use of arterial pressure as a surrogate for cardiac output.The objective is to offer practical clinical guidance for anesthesiologists and to enhance the precision and effectiveness of intraoperative hemodynamic management in adult non-cardiac surgical patients.

Objective:To identify the relevant factors for the first-course remission of acute myeloid leukemia (AML) and to develop a predictive model as well as assess its predictive capability.Methods:Clinical data of 749 patients newly diagnosed with AML admitted to the Department of Hematology, the First Affiliated Hospital, Zhejiang University, School of Medicine from January 1, 2019, to April 30, 2023, were collected and randomly divided into training and validation sets. Multivariate logistic regression analysis was conducted to determine variables associated with complete remission in the first course of induction therapy, and a predictive model was established based on these variables. The receiver operating characteristic (ROC) curve of the predictive model was plotted, and the area under the curve (AUC) was calculated.Results:The indicators predicting the first remission course included peripheral blood white blood cell count during onset, CBF::MYH11 fusion gene, CEBPA bZIP region mutation, myelodysplastic syndrome-related gene mutation, and induction chemotherapy regimen selection as independent factors for the first remission course. The model’s area under the training and validation curves was 0.738 (95% CI: 0.696-0.780) and 0.726 (95% CI: 0.650-0.801), respectively. The Hosmer-Lemeshow test results yielded P-values of 0.993 and 0.335, respectively. Conclusion:In this study, the developed model demonstrates a strong predictive capability for the efficacy of the first course of patients with AML, providing valuable guidance to clinicians in assessing patient prognosis and selecting appropriate treatment strategies.