Dataset Information

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

ABSTRACT:

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.

SUBMITTER: Bergstrom G

PROVIDER: S-EPMC11292769 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature

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Publications

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

Bergström Göran G Hagberg Eva E Björnson Elias E Adiels Martin M Bonander Carl C Strömberg Ulf U Andersson Jonas J Brunström Mattias M Carlhäll Carl-Johan CJ Engström Gunnar G Erlinge David D Goncalves Isabel I Gummesson Anders A Hagström Emil E Hjelmgren Ola O James Stefan S Janzon Magnus M Jonasson Lena L Lind Lars L Magnusson Martin M Oskarsson Viktor V Sundström Johan J Svensson Per P Söderberg Stefan S Themudo Raquel R Östgren Carl Johan CJ Jernberg Tomas T

Journal of the American Heart Association 20240703 14

<h4>Background</h4>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.<h4>Methods and results</h4>We used data from the population-based SCAPIS (Swedish CardioPulmonary BioImage Study) in individuals wit ...[more]

PMID: 38958022

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Dataset Information

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

Background

Methods and results

Conclusions

Publications

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

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