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Background: Currently, there are 4 EQ-5D-5L scoring algorithms available for the United Kingdom that can be used to derive a utility score.
Objectives: To perform a psychometric validation of the EQ-5D utility score in patients with metastatic Merkel cell carcinoma (mMCC) and to compare 4 EQ-5D-5L value sets currently available for the United Kingdom.
Methods: Data collected in the phase 2 trial JAVELIN Merkel 200 were analyzed, in which 88 patients with mMCC were treated with avelumab. Utility scores were calculated using the EQ-5D-5L valuation set by Devlin et al and 3 further algorithms that are based on EQ-5D-3L valuations. Criterion validity was assessed by Pearson correlations between utility and other HRQoL scales. Responsiveness was assessed by correlating change in utility scores with change in HRQoL scales and percentage change in tumor size. Effect sizes for change from baseline in utility were calculated in subgroups of patients with improving and deteriorating health based on clinically relevant changes in various external anchors.
Results: Devlin utilities were up to 0.10 points higher than utilities calculated from EQ-5D-3L valuations. Large correlations (0.45-0.72; P < .01) between utility and the EuroQol Visual Analogue Scale and FACT-G total, physical, and functional scores were found for all 4 algorithms. Large correlations between these measures were also found for change from baseline scores. In patients with health improvements, effect sizes were larger for the 3 EQ-5D-3L-based algorithms, whereas the Devlin utilities had larger effect sizes for health deteriorations, probably because of different levels of baseline utility.
Conclusions: The English National Institute for Health and Care Excellence currently recommends use of the 3L valuation sets. Our analyses show that all 4 scoring algorithms have good and similar psychometric properties in patients with mMCC.
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http://dx.doi.org/10.1016/j.jval.2019.05.010 | DOI Listing |
Int J Gen Med
September 2025
Department of Geriatrics, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, 610072, People's Republic of China.
Background: Sepsis is characterized by profound immune and metabolic perturbations, with glycolysis serving as a pivotal modulator of immune responses. However, the molecular mechanisms linking glycolytic reprogramming to immune dysfunction remain poorly defined.
Methods: Transcriptomic profiles of sepsis were obtained from the Gene Expression Omnibus.
Front Rehabil Sci
August 2025
Department of Neurosurgery, David Geffen School of Medicine, University of California, Los Angeles, CA, United States.
Introduction: Spinal cord injury (SCI) presents a significant burden to patients, families, and the healthcare system. The ability to accurately predict functional outcomes for SCI patients is essential for optimizing rehabilitation strategies, guiding patient and family decision making, and improving patient care.
Methods: We conducted a retrospective analysis of 589 SCI patients admitted to a single acute rehabilitation facility and used the dataset to train advanced machine learning algorithms to predict patients' rehabilitation outcomes.
Radiol Adv
September 2024
Department of Radiology, Northwestern University and Northwestern Medicine, Chicago, IL, 60611, United States.
Background: In clinical practice, digital subtraction angiography (DSA) often suffers from misregistration artifact resulting from voluntary, respiratory, and cardiac motion during acquisition. Most prior efforts to register the background DSA mask to subsequent postcontrast images rely on key point registration using iterative optimization, which has limited real-time application.
Purpose: Leveraging state-of-the-art, unsupervised deep learning, we aim to develop a fast, deformable registration model to substantially reduce DSA misregistration in craniocervical angiography without compromising spatial resolution or introducing new artifacts.
Clin Kidney J
September 2025
Department of Nephrology. University Clinical Hospital, INCLIVA, Valencia. RICORS Renal Instituto de salud Carlos III, Valencia. Spain.
Metabolic dysfunction-associated steatotic liver disease (MASLD) has emerged as a major contributor to systemic metabolic dysfunction and is increasingly recognized as a risk enhancer for both cardiovascular disease (CVD) and chronic kidney disease (CKD). This review explores the complex interconnections between MASLD, CVD, and CKD, with emphasis on shared pathophysiological mechanisms and the clinical implications for risk assessment and management. We describe the crosstalk among the liver, heart, and kidneys, focusing on insulin resistance, chronic inflammation, and progressive fibrosis as key mediators.
View Article and Find Full Text PDFRev Cardiovasc Med
August 2025
Cardiology Department, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón, CIBERCV, 28007 Madrid, Spain.
Stress cardiomyopathy/Takotsubo syndrome (TTS) is a transient cardiac condition characterized by sudden and reversible left ventricular dysfunction, typically triggered by emotional or physical stress. The international TTS (InterTAK) score predicts the probability of suffering from TTS. However, the diagnostic algorithm includes three mutually exclusive diagnoses: acute coronary syndrome (ACS), TTS, and acute infectious myocarditis.
View Article and Find Full Text PDF