Aims: Cardiac involvement is the main determinant of poor outcomes in sarcoidosis. Right ventricular (RV) dysfunction and left ventricular (LV) late gadolinium enhancement (LGE) have been reported to be predictive of adverse outcome in non-ischaemic cardiomyopathies. The aim of our study was to determine whether delayed RV LGE with cardiovascular magnetic resonance would be predictive of adverse events in addition to LV LGE during the long-term follow-up of pulmonary sarcoidosis patients.
Methods And Results: Eighty-four consecutive biopsy-proven pulmonary sarcoidosis patients were followed for a median of 56 months [38-74] after baseline delayed contrast-enhanced cardiac magnetic resonance. The composite primary endpoint consisted of admission for congestive heart failure, sustained ventricular tachycardia, appropriate implantable cardioverter defibrillator therapy, pacemaker implantation for high degree atrio-ventricular block, or cardiac death. The composite secondary endpoint included all-cause mortality in addition to the primary endpoint. RV and LV LGE were demonstrated in respectively 12 and 27 patients. Five of 10 events included in the primary endpoint occurred in the group with RV LGE. RV LGE, LV, or biventricular LGE yielded Cox hazard ratios of 8.71 [95% confidence interval (CI) 1.90-23.81], 9.22 (95% CI 1.96-43.45), and 12.09 (95% CI 3.43-42.68) for the composite primary endpoint. In a multivariate model, the predictive value of biventricular LGE for the composite primary and secondary endpoints was strongest. Kaplan-Meier event-free survival curves were most significant for RV LGE and biventricular LGE (log rank with P < 0.001).
Conclusions: Biventricular LGE at presentation is the strongest, independent predictor of adverse outcome during long-term follow-up. Asymptomatic myocardial scar <8% of LV mass carried a favourable long-term outcome.
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http://dx.doi.org/10.1002/ehf2.12201 | DOI Listing |
Trials
January 2025
Université Côte d'Azur, CNRS, LP2M, Nice, France.
Background: /aims. Pseudoxanthoma Elasticum (PXE, OMIM 264800) is an autosomal, recessive, metabolic disorder characterized by progressive ectopic calcification in the skin, the vasculature and Bruch's membrane. Variants in the ABCC6 gene are associated with low plasma pyrophosphate (PPi) concentration.
View Article and Find Full Text PDFBMC Anesthesiol
January 2025
Department of Anesthesiology and Reanimation, Faculty of Medicine, Van Yüzüncü Yıl University, Van, Turkey.
Background: Patient safety is important in daily anesthesia practices, and providing deep anesthesia is difficult. Current debates on the optimal anesthetic agents highlight the need for safer alternatives. This study was justified by the need for safer and more effective anesthetic protocols for outpatient hysteroscopic procedures, particularly those conducted outside the operating room.
View Article and Find Full Text PDFBMC Cancer
January 2025
Peter MacCallum Cancer Centre, Parkville, Victoria, Australia.
Background: People with malignancy of undefined primary origin (MUO) have a poor prognosis and may undergo a protracted diagnostic workup causing patient distress and high cancer related costs. Not having a primary diagnosis limits timely site-specific treatment and access to precision medicine. There is a need to improve the diagnostic process, and healthcare delivery and support for these patients.
View Article and Find Full Text PDFUpdates Surg
January 2025
Pancreatic and Endocrine Surgical Unit, IRCCS Azienda Ospedaliero-Universitaria Di Bologna, Bologna, Italy.
The presence of an aberrant right hepatic artery (a-RHA) could influence the oncological and postoperative outcomes after pancreaticoduodenectomy (PD). A comparative study was conducted, including patients who underwent PD with a-RHA or with normal RHA anatomy. The primary endpoints were R1 resection in all margins (pancreatic, anterior, posterior, superior mesenteric artery, and portal groove), overall survival (OS), and disease-free survival (DFS).
View Article and Find Full Text PDFBreast Cancer Res Treat
January 2025
Google Health, 1600 Amphitheatre Pkwy, Mountain View, CA, 94043, USA.
Purpose: Many breast centers are unable to provide immediate results at the time of screening mammography which results in delayed patient care. Implementing artificial intelligence (AI) could identify patients who may have breast cancer and accelerate the time to diagnostic imaging and biopsy diagnosis.
Methods: In this prospective randomized, unblinded, controlled implementation study we enrolled 1000 screening participants between March 2021 and May 2022.
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