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Self-Report Tool for Identification of Individuals With Coronary Atherosclerosis : The Swedish CardioPulmonary BioImage Study

Bergström, Göran (författare)
University of Gothenburg
Hagberg, Eva (författare)
University of Gothenburg
Björnson, Elias (författare)
University of Gothenburg
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Adiels, Martin (författare)
University of Gothenburg
Bonander, Carl, 1988- (författare)
University of Gothenburg,Karlstads universitet,Centrum för forskning om samhällsrisker, CSR (från 2020),School of Public Health and Community Medicine Institute of Medicine, University of Gothenburg Gothenburg Sweden, Sweden; Centre for Societal Risk Research Karlstad University Karlstad Sweden, Sweden
Strömberg, Ulf (författare)
University of Gothenburg
Andersson, Jonas (författare)
Umeå universitet,Institutionen för folkhälsa och klinisk medicin,Umeå University, Sweden
Brunström, Mattias (författare)
Umeå University,Umeå universitet,Institutionen för folkhälsa och klinisk medicin,Linköping University, Sweden
Carlhäll, Carl-Johan (författare)
Linköping University
Engström, Gunnar (författare)
Lund University,Lunds universitet,Kardiovaskulär forskning - epidemiologi,Forskargrupper vid Lunds universitet,Cardiovascular Research - Epidemiology,Lund University Research Groups
Erlinge, David (författare)
Lund University,Lunds universitet,Molekylär kardiologi,Forskargrupper vid Lunds universitet,Molecular Cardiology,Lund University Research Groups,Skåne University Hospital
Goncalves, Isabel (författare)
Lund University,Lunds universitet,Kardiovaskulär forskning - translationella studier,Forskargrupper vid Lunds universitet,Cardiovascular Research - Translational Studies,Lund University Research Groups,Skåne University Hospital
Gummesson, Anders (författare)
University of Gothenburg
Hagström, Emil (författare)
Uppsala University
Hjelmgren, Ola (författare)
University of Gothenburg
James, Stefan (författare)
Uppsala University
Janzon, Magnus (författare)
Linköping University
Jonasson, Lena (författare)
Linköping University
Lind, Lars (författare)
Department of Medical Sciences, Clinical Epidemiology Uppsala University Uppsala Sweden, Sweden
Magnusson, Martin (författare)
Lund University,Lunds universitet,Kardiovaskulär forskning - hypertoni,Forskargrupper vid Lunds universitet,Cardiovascular Research - Hypertension,Lund University Research Groups,North-West University,Skåne University Hospital
Oskarsson, Viktor (författare)
Umeå universitet,Institutionen för folkhälsa och klinisk medicin,Piteå Research Unit Region Norrbotten Piteå Sweden, Sweden,Umeå University, Sweden; Region Norrbotten, Sweden
Sundström, Johan (författare)
Department of Medical Sciences Uppsala University Uppsala Sweden, Sweden; , The George Institute for Global Health University of New South Wales Sydney New South Wales Australia
Svensson, Per (författare)
Karolinska Institutet
Söderberg, Stefan (författare)
Umeå universitet,Institutionen för folkhälsa och klinisk medicin,Umeå University, Sweden
Themudo, Raquel (författare)
Department of Clinical Science, Intervention and Technology, Division of Medical Imaging and Technology Karolinska Institute Stockholm Sweden, Sweden; Department of Radiology Karolinska University Hospital in Huddinge Stockholm Sweden, Sweden
Östgren, Carl Johan (författare)
Center for Medical Image Science and Visualization (CMIV) Linköping University Linköping Sweden, Sweden; Department of Health, Medicine and Caring Sciences Linköping University Linköping Sweden, Sweden
Jernberg, Tomas (författare)
Department of Clinical Sciences Danderyd University Hospital, Karolinska Institutet Stockholm Sweden, Sweden
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 (creator_code:org_t)
American Heart Association, 2024
2024
Engelska.
Ingår i: Journal of the American Heart Association. - : American Heart Association. - 2047-9980. ; 13:14
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • 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, P<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.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Kardiologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Cardiac and Cardiovascular Systems (hsv//eng)

Nyckelord

Computed Tomography Angiography
Coronary Angiography
Coronary Artery Disease
Female
Humans
Male
Middle Aged
Predictive Value of Tests
Reproducibility of Results
Risk Assessment
Self Report
Severity of Illness Index
Sweden
Vascular Calcification
blood vessel calcification
computed tomographic angiography
coronary angiography
coronary artery disease
diagnosis
diagnostic imaging
epidemiology
female
human
male
middle aged
predictive value
procedures
reproducibility
risk assessment
self report
severity of illness index
Sweden
Risk and Environmental Studies
Risk- och miljöstudier

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