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Understanding barriers and facilitators to implementation of a patient safety bundle for pregnancy-related severe hypertension in 3 North Carolina outpatient clinics: a qualitative study.
Implement Sci Commun
January 2025
Department of Obstetrics and Gynecology, Division of Maternal and Fetal Medicine, University of North Carolina School of Medicine, Chapel Hill, NC, 27599, USA.
Background: Pregnancy related hypertension is a leading cause of preventable maternal morbidity and mortality in the US, with consistently higher rates affecting racial minorities. Many complications are preventable with timely treatment, in alignment with the Alliance for Innovation on Maternal Health's Patient Safety Bundle ("Bundle"). The Bundle has been implemented successfully in inpatient settings, but 30% of preeclampsia-related morbidity occurs in outpatient settings in North Carolina.
View Article and Find Full Text PDFComparative Analysis of Systemic Immune Responses and Metastatic Risks in Tumor Ablation: An Animal Study of Radiofrequency Ablation and Irreversible Electroporation with Immune Modulation.
Cardiovasc Intervent Radiol
January 2025
Department of Immunology, Faculty of Medicine, Kindai University, Osaka, Japan.
Purpose: This study aimed to compare systemic immune responses and metastatic effects induced by radiofrequency ablation (RFA) and irreversible electroporation (IRE) in murine tumor models. We assessed cytokine production, growth of treated and untreated metastatic tumors, and synergy with immune checkpoint inhibitors (ICIs).
Materials And Methods: Hep55.
[Consensus on the management of liver injury associated with targeted drugs and immune checkpoint inhibitors for hepatocellular carcinoma ( version 2024)].
Zhonghua Gan Zang Bing Za Zhi
December 2024
With the widespread application of systemic treatments for hepatocellular carcinoma, liver injury caused by molecular targeted drugs and immune checkpoint inhibitors has become a common clinical problem. The Chinese Society of Hepatology organized relevant domestic experts to summarize and analyze the adverse liver reactions and diagnosis and treatment progress related to systemic treatment of liver cancer at home and abroad, and formulated the "Consensus on the management of liver injury associated with targeted drugs and immune checkpoint inhibitors for hepatocellular carcinoma," aiming to provide reasonable suggestions and decision-making references for clinical physicians in liver disease and related specialties in the monitoring, diagnosis, prevention and treatment of liver injury during the treatment of targeted drugs and immune checkpoint inhibitors for hepatocellular carcinoma, so as to enable more liver cancer patients to benefit from targeted immune therapy.
View Article and Find Full Text PDFDysregulation of Airway and Systemic Interferon Responses Promote Asthma Exacerbations in Urban Children.
J Allergy Clin Immunol
January 2025
Department of Pediatrics, University of Wisconsin School of Medicine and Public Health, Madison, WI.
Background: Determining why some upper respiratory illnesses provoke asthma exacerbations remains an unmet need.
Objective: To identify transcriptome-wide gene expression changes associated with colds that progress to exacerbation.
Methods: 208 urban children (6-17 years) with exacerbation-prone asthma were prospectively monitored for up to two cold illnesses.
Deep learning model to identify and validate hypotension endotypes in surgical and critically ill patients.
Br J Anaesth
January 2025
Department of Anesthesiology, Center of Anesthesiology and Intensive Care Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Outcomes Research Consortium, Cleveland, OH, USA. Electronic address:
Background: Hypotension is associated with organ injury and death in surgical and critically ill patients. In clinical practice, treating hypotension remains challenging because it can be caused by various underlying haemodynamic alterations. We aimed to identify and independently validate endotypes of hypotension in big datasets of surgical and critically ill patients using unsupervised deep learning.
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