Pulmonary embolism (PE) is a common clinical entity, which most clinicians will encounter. Appropriate risk stratification of patients is key to identify those who may benefit from reperfusion therapy. The first step in risk assessment should be the identification of hemodynamic instability and, if present, urgent patient consideration for systemic thrombolytics. In the absence of shock, there is a plethora of imaging studies, biochemical markers, and clinical scores that can be used to further assess the patients' short-term mortality risk. Integrated prediction models incorporate more information toward an individualized and precise mortality prediction. Additionally, bleeding risk scores should be utilized prior to initiation of anticoagulation and/or reperfusion therapy administration. Here, we review the latest algorithms for a comprehensive risk stratification of the patient with acute PE.
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http://dx.doi.org/10.1055/s-0041-1722898 | DOI Listing |
Pediatr Cardiol
January 2025
Department of Cardiovascular Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences and Okayama University Hospital, 2-5-1 Shikatacho, Kitaku, Okayama, Japan.
We reviewed the outcomes of truncus arteriosus repair (primary vs. staged repair incorporating bilateral pulmonary artery banding), focusing on survival, reintervention, and functional data. We analyzed 39 patients who underwent a first intervention for truncus arteriosus (staged, n = 19; primary, n = 20) between 1992 and 2022.
View Article and Find Full Text PDFEur Radiol
January 2025
Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Objectives: We aimed to use artificial intelligence to accurately identify molecular subgroups of medulloblastoma (MB), predict clinical outcomes, and incorporate deep learning-based imaging features into the risk stratification.
Methods: The MRI features were extracted for molecular subgroups by a novel multi-parameter convolutional neural network (CNN) called Bi-ResNet-MB. Then, MR features were used to establish a prognosis model based on XGBoost.
J Endovasc Ther
January 2025
Department of Vascular Surgery, Rijnstate, Arnhem, The Netherlands.
Purpose: The goal of the study described in this protocol is to build a multimodal artificial intelligence (AI) model to predict abdominal aortic aneurysm (AAA) shrinkage 1 year after endovascular aneurysm repair (EVAR).
Methods: In this retrospective observational multicenter study, approximately 1000 patients will be enrolled from hospital records of 5 experienced vascular centers. Patients will be included if they underwent elective EVAR for infrarenal AAA with initial assisted technical success and had imaging available of the same modality preoperatively and at 1-year follow-up (CTA-CTA or US-US).
Vasa
January 2025
Department of Cardiology and Vascular Medicine, West German Heart and Vascular Center Essen, University of Duisburg-Essen, Essen, Germany.
Pulmonary embolism (PE) can result in high mortality. Early risk stratification and treatment are critical for individualized management. In patients with intermediate-high-risk (IHR) PE, guidelines recommend to consider a percutaneous catheter-directed treatment (CDT).
View Article and Find Full Text PDFCurr Opin Infect Dis
January 2025
Department of Medical and Surgical Sciences, Alma Mater Studiorum University of Bologna.
Purpose Of Review: Recurrent skin and soft tissue infections (RSSTIs) are challenging for the clinicians due to morbidity and healthcare-related costs. Here, we review updates on risk factors and management.
Recent Findings: RSSTIs rates range between 7 and 45%.
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