Background: The use of venoarterial extracorporeal membrane oxygenation (VA-ECMO) after coronary artery bypass grafting (CABG) is associated with high in-hospital mortality rates. The pRedicting mortality in patients undergoing venoarterial Extracorporeal MEMBrane oxygenation after coronary artEry bypass gRafting (REMEMBER) score has been created to predict in-hospital mortality in this subgroup of patients. The aim of this study is to externally validate the REMEMBER score.
Methods: All CABG patients who received VA-ECMO during or after the operation at our center between 01/2012 and 12/2021 were included in the analysis. Discrimination was assessed using concordance statistics, visualized by ROC curve analysis. Calibration-in-the-large and Calibration slope were tested separately.
Results: A total of 107 patients (male: = 78, 72.9%) were included in this study. The in-hospital mortality rate in our cohort was 45.8% compared with 55% in the original study. The REMEMBER score median predicted mortality rate was 52% (76.9-36%). However, the REMEMBER score showed low discriminative ability [AUC: 0.623 ( = 0.0244; 95% CI = 0.524-0.715)] and inaccurate calibration (intercept = 0.25074; = 0.0195; slope = 0.39504; = 0.0303), indicating poor performance.
Conclusions: The REMEMBER score did not predict in-hospital mortality and was therefore not applicable in our cohort of patients. Additional external validation studies in a multicenter setting are therefore advisable.
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http://dx.doi.org/10.3389/fcvm.2023.1192300 | DOI Listing |
Front Nutr
December 2024
Department of Neurology, Zhuji Affiliated Hospital of Wenzhou Medical University, Zhuji, China.
Background: The Dietary Approaches to Stop Hypertension (DASH) are associated with reduced cardiovascular, diabetes risk, but the effect on obstructive sleep apnea (OSA) is uncertain.
Methods: This study used data from the National Health and Nutrition Examination Survey (NHANES). DASH score was assessed through 24-h dietary recall interviews, and OSA diagnosis in individuals was based on predefined criteria.
BMC Med Educ
December 2024
Department of Gastroenterology and Hepatology, Leiden University Medical Center, Albinusdreef 2, Leiden, 2333 ZA, The Netherlands.
Background: Retrieval practice is a highly effective learning strategy that enhances long-term retention by encouraging the active recall of information. However, the optimal question format for maximizing knowledge retention remains uncertain. In this study, we compared the effect of very short answer (VSAQ) versus multiple-choice question (MCQ) practice tests on students' knowledge retention.
View Article and Find Full Text PDFBMC Psychiatry
December 2024
Department of Clinical, Neuro- and Developmental Psychology, Faculty of Behavioral and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
Background: There is robust evidence that posttraumatic stress disorder (PTSD) is associated with neurocognitive deficits, such as executive dysfunction or memory dysfunction. Eye Movement Desensitization and Reprocessing (EMDR) is an evidence-based treatment for PTSD, in which eye movements (EMs) are performed during traumatic memory retrieval. We examined whether Eye Movement Desensitization (EMD) improves neurocognitive functioning in PTSD patients, in comparison with a retrieval-only control condition without EMs.
View Article and Find Full Text PDFSci Rep
December 2024
Department of Psychology, University of Arizona, 1503 E University Blvd, Tucson, AZ, 85721, USA.
Human imagination has garnered growing interest in many fields. However, it remains unclear how to characterize different forms of imaginative thinking and how imagination differs between young and older adults. Here, we introduce a novel scoring protocol based on recent theoretical developments in the cognitive neuroscience of imagination to provide a broad tool with which to characterize imaginative thinking.
View Article and Find Full Text PDFJ Neurol Sci
December 2024
Computational and Translational Neuroscience Laboratory, Institute of Cognitive Sciences and Technologies, National Research Council (CTNLab-ISTC-CNR), Via Gian Domenico Romagnosi 18A, Rome 00196, Italy; AI2Life s.r.l., Innovative Start-Up, ISTC-CNR Spin-Off, Via Sebino 32, Rome 00199, Italy. Electronic address:
Alzheimer's disease (AD), the most common neurodegenerative disorder world-wide, presents sex-specific differences in its manifestation and progression, necessitating personalized diagnostic approaches. Current procedures are often costly and invasive, lacking consideration of sex-based differences. This study introduces an explainable machine learning (ML) system to predict and differentiate the progression of AD based on sex, using non-invasive, easily collectible predictors such as neuropsychological test scores and sociodemographic data, enabling its application in every day clinical settings.
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