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Background: Coronary atherosclerosis detected by imaging is a marker of elevated cardiovascular risk. However, imaging involves large resources and exposure to radiation. The aim was, therefore, to test whether nonimaging data, specifically data that can be self-reported, could be used to identify individuals with moderate to severe coronary atherosclerosis.
Methods And Results: We used data from the population-based SCAPIS (Swedish CardioPulmonary BioImage Study) in individuals with coronary computed tomography angiography (n=25 182) and coronary artery calcification score (n=28 701), aged 50 to 64 years without previous ischemic heart disease. We developed a risk prediction tool using variables that could be assessed from home (self-report tool). For comparison, we also developed a tool using variables from laboratory tests, physical examinations, and self-report (clinical tool) and evaluated both models using receiver operating characteristic curve analysis, external validation, and benchmarked against factors in the pooled cohort equation. The self-report tool (n=14 variables) and the clinical tool (n=23 variables) showed high-to-excellent discriminative ability to identify a segment involvement score ≥4 (area under the curve 0.79 and 0.80, respectively) and significantly better than the pooled cohort equation (area under the curve 0.76, <0.001). The tools showed a larger net benefit in clinical decision-making at relevant threshold probabilities. The self-report tool identified 65% of all individuals with a segment involvement score ≥4 in the top 30% of the highest-risk individuals. Tools developed for coronary artery calcification score ≥100 performed similarly.
Conclusions: We have developed a self-report tool that effectively identifies individuals with moderate to severe coronary atherosclerosis. The self-report tool may serve as prescreening tool toward a cost-effective computed tomography-based screening program for high-risk individuals.
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http://dx.doi.org/10.1161/JAHA.124.034603 | DOI Listing |
Int Psychogeriatr
September 2025
Department of Psychology and Neuroscience, Temple University, Philadelphia, PA, United States. Electronic address:
Background: As demand for mental healthcare access grows among older adult populations, digital mental health tools have emerged as promising tools. However, bridging the digital divide among older technology users remains critical. This post-hoc analysis evaluated potential factors influencing the adoption of a digital mental health tool in older adults.
View Article and Find Full Text PDFEpilepsy Res
September 2025
Division of Pediatric Neurology, Developmental Medicine and Social Pediatrics Department of Pediatrics, Dr. von Hauner Children's Hospital, Ludwig-Maximilians-University, Lindwurmstrasse 4, Munich 80337, Germany; Comprehensive Epilepsy Center, Ludwig-Maximilians-University, Munich, Germany. Electron
Background: The EpiTrack Junior is a screening tool assessing executive function in children with epilepsy. This study aimed to investigate whether children and adolescents with epilepsy are at a higher risk of experiencing a reduced quality of life if they also reveal abnormal results reflecting executive dysfunction.
Methods: We screened patients for executive dysfunction using the clinical test tool EpiTrack Junior.
Pediatr Pulmonol
September 2025
Division of Pulmonary Medicine, Children's Hospital of Philadelphia and University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
Objective: Bronchopulmonary dysplasia (BPD) is the most common cause of chronic lung disease in infancy. Caregivers often experience significant challenges in caring for these medically complex children. The purpose of this study was to determine feasibility of administering an electronic social determinants of health (SDoH) screening tool and to determine if caregiver social needs correlate with respiratory outcomes in children with BPD.
View Article and Find Full Text PDFMedicine (Baltimore)
September 2025
University of São Paulo at Ribeirão Preto College of Nursing, Ribeirão Preto, São Paulo, Brazil.
Background: The body of literature on physiological measures of stress in caregivers of children with special health care needs (CSHCN) is emerging; however, a nondisease-based review of this literature has not yet been conducted. This study aimed to synthesize and analyze scientific evidence available in the literature on biomarkers associated with stress in caregivers of CSHCN.
Methods: We conducted a systematic review of studies published in 7 electronic bibliographic databases: Embase, MEDLINE/PubMed, Cochrane Library, Web of Science, CINAHL, Scopus, and PsycINFO, with no publication data restrictions.