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http://dx.doi.org/10.37349/etat.2024.00278 | DOI Listing |
J Cardiovasc Med (Hagerstown)
February 2025
Cardiology Unit, Azienda Ospedaliera Universitaria di Ferrara, Cona, Ferrara, Italy.
Introduction: Cardiac amyloidosis typically causes restrictive cardiomyopathy, in which the impairment of diastolic function is dominant. Echocardiography provides prognostic information through some important parameters: left ventricular ejection fraction (LVEF) and global longitudinal strain (GLS). However, LVEF often remains preserved despite disease progression, and GLS is not routinely performed as it is limited by suboptimal image quality.
View Article and Find Full Text PDFJ Bone Joint Surg Am
January 2025
Department of Orthopaedic Oncology, Learning Cancer Outcome Research Program, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Background: Comorbidity indices are used to help to estimate patients' length of hospital stay, care costs, outcomes, and mortality. Increasingly, they are considered in reimbursement models. The applicability of comorbidity indices to patients undergoing orthopaedic oncology surgery has not been studied.
View Article and Find Full Text PDFArq Bras Cardiol
January 2025
Department of Cardiovascular Medicine - Shengzhou People's Hospital (Shengzhou Branch of the First Affiliated Hospital of Zhejiang University School of Medicine, the Shengzhou Hospital of Shaoxing University), Zhejiang - China.
Background: ST-segment elevation myocardial infarction (STEMI) is a common and severe form of acute myocardial infarction (AMI).
Objectives: The study aimed to investigate the relationship between serum nitric oxide (NO) and endothelin-1 (ET-1) levels with the severity of STEMI and their predictive value for major adverse cardiovascular events (MACE) within one year after percutaneous coronary intervention (PCI) in STEMI patients.
Methods: The retrospective study was conducted on 269 STEMI patients who underwent PCI.
J Med Internet Res
January 2025
Department of Anesthesiology, Daping Hospital, Army Medical University, Chongqing, China.
Background: Recent research has revealed the potential value of machine learning (ML) models in improving prognostic prediction for patients with trauma. ML can enhance predictions and identify which factors contribute the most to posttraumatic mortality. However, no studies have explored the risk factors, complications, and risk prediction of preoperative and postoperative traumatic coagulopathy (PPTIC) in patients with trauma.
View Article and Find Full Text PDFJAMA Netw Open
January 2025
Division of Geriatrics, School of Medicine, University of California San Francisco.
Importance: The Walter Index is a widely used prognostic tool for assessing 12-month mortality risk among hospitalized older adults. Developed in the US in 2001, its accuracy in contemporary non-US contexts is unclear.
Objective: To evaluate the external validity of the Walter Index in predicting posthospitalization mortality risk in Brazilian older adult inpatients.
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