Background: Only a small fraction of patients with atherosclerotic renovascular disease (ARVD) treated with revascularization have improved renal function after the procedure. It has been suggested that this may be due to effects of renal microvascular disease. Our aim was to measure the effect of renal artery stenosis (RAS) revascularization on renal perfusion in patients with renovascular disease.
Methods: Seventeen renovascular disease patients were treated by dilatation of unilateral (N = 8) or bilateral (N = 9) RAS (N = 23 kidneys), mainly because of uncontrolled or refractory hypertension. The patients were studied before and after (103 ± 29 days) the procedure. Renal perfusion was measured using quantitative positron emission tomography (PET) perfusion imaging.
Results: Although renal perfusion correlated inversely with the degree of RAS in patients with renovascular disease, it did not change after revascularization.
Conclusions: Our data support the notion of former clinical trials that angiographic severity of RAS does not determine the response to revascularization. Quantitative PET perfusion imaging is a promising tool to noninvasively measure renal perfusion for the assessment of physiological impact of RAS.
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http://dx.doi.org/10.1093/ndt/gfs301 | DOI Listing |
Perfusion
January 2025
Department of Cardiothoracic Surgery, Lankenau Heart Institute, Wynnewood, PA, USA.
Purpose: Research on the safety and efficacy of del Nido cardioplegia in adult patients with reduced left ventricular ejection fraction (LVEF) is limited. We evaluated the effect of del Nido cardioplegia on early outcomes of cardiac surgery in this cohort.
Methods: PubMed, Scopus, and the Cochrane Central Register of Controlled Trials were searched through August 2024 to conduct a meta-analysis comparing del Nido to other cardioplegia in adult patients with reduced LVEF (≤50%).
Mol Med
January 2025
Center for Immunology and Inflammation, Feinstein Institutes for Medical Research, Manhasset, NY, USA.
Background: Chronic kidney disease (CKD) is a leading cause of death in the United States, and renal fibrosis represents a pathologic hallmark of CKD. Extracellular cold-inducible RNA-binding protein (eCIRP) is a stress response protein involved in acute inflammation, tissue injury and regulated cell death. However, the role of eCIRP in chronic inflammation and tissue injury has not been elucidated.
View Article and Find Full Text PDFRofo
January 2025
Department of Diagnostic and Interventional Radiology, University Hospital Tübingen, Tübingen, Germany.
Multiparametric MRI is a promising technique for noninvasive structural and functional imaging of the kidneys that is gaining increasing importance in clinical research. Still, there are no standardized recommendations for analyzing the acquired images and there is a need to further evaluate the accuracy and repeatability of currently recommended MRI parameters. The aim of the study was to evaluate the test-retest repeatability of functional renal MRI parameters using different image analysis strategies.
View Article and Find Full Text PDFCureus
December 2024
Intensive Care Unit, Hospital de Braga, Braga, PRT.
Myxoedema coma is a rare medical emergency, presenting even less commonly without sepsis and with the diagnosis of distributive shock. Reports of catecholamine-refractory shock are scarce. This report describes the case of a 54-year-old male, who presented to the emergency department with altered mental status.
View Article and Find Full Text PDFJTCVS Open
December 2024
Department of Thoracic and Cardiovascular Surgery, Cleveland Clinic, Cleveland, Ohio.
Objective: To develop a model for preoperatively predicting postcardiotomy cardiogenic shock (PCCS) in patients with poor left ventricular (LV) function undergoing cardiac surgery.
Methods: From the Society of Thoracic Surgeons Adult Cardiac Database, 11,493 patients with LV ejection fraction ≤35% underwent isolated on-pump surgery from 2018 through 2019, of whom 3428 experienced PCCS. In total, 68 preoperative clinical variables were considered in machine-learning algorithms trained and optimized using scikit-learn software.
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