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Self-Report Tool for Identification of Individuals With Coronary Atherosclerosis: The Swedish CardioPulmonary BioImage Study.
Bergström, Göran; Hagberg, Eva; Björnson, Elias; Adiels, Martin; Bonander, Carl; Strömberg, Ulf; Andersson, Jonas; Brunström, Mattias; Carlhäll, Carl-Johan; Engström, Gunnar; Erlinge, David; Goncalves, Isabel; Gummesson, Anders; Hagström, Emil; Hjelmgren, Ola; James, Stefan; Janzon, Magnus; Jonasson, Lena; Lind, Lars; Magnusson, Martin; Oskarsson, Viktor; Sundström, Johan; Svensson, Per; Söderberg, Stefan; Themudo, Raquel; Östgren, Carl Johan; Jernberg, Tomas.
Afiliação
  • Bergström G; Department of Molecular and Clinical Medicine Institute of Medicine, Sahlgrenska Academy, University of Gothenburg Gothenburg Sweden.
  • Hagberg E; Department of Clinical Physiology Region Västra Götaland, Sahlgrenska University Hospital Gothenburg Sweden.
  • Björnson E; Department of Molecular and Clinical Medicine Institute of Medicine, Sahlgrenska Academy, University of Gothenburg Gothenburg Sweden.
  • Adiels M; Department of Clinical Physiology Region Västra Götaland, Sahlgrenska University Hospital Gothenburg Sweden.
  • Bonander C; Department of Molecular and Clinical Medicine Institute of Medicine, Sahlgrenska Academy, University of Gothenburg Gothenburg Sweden.
  • Strömberg U; School of Public Health and Community Medicine Institute of Medicine, University of Gothenburg Gothenburg Sweden.
  • Andersson J; School of Public Health and Community Medicine Institute of Medicine, University of Gothenburg Gothenburg Sweden.
  • Brunström M; Centre for Societal Risk Research Karlstad University Karlstad Sweden.
  • Carlhäll CJ; School of Public Health and Community Medicine Institute of Medicine, University of Gothenburg Gothenburg Sweden.
  • Engström G; Department of Research and Development Region Halland Halmstad Sweden.
  • Erlinge D; Department of Public Health and Clinical Medicine Umeå University Umeå Sweden.
  • Goncalves I; Department of Public Health and Clinical Medicine Umeå University Umeå Sweden.
  • Gummesson A; Center for Medical Image Science and Visualization (CMIV) Linköping University Linköping Sweden.
  • Hagström E; Department of Clinical Physiology in Linköping, Department of Health, Medicine and Caring Sciences Linköping University Linköping Sweden.
  • Hjelmgren O; Department of Clinical Sciences in Malmö Lund University Malmö Sweden.
  • James S; Department of Clinical Sciences Lund, Cardiology Lund University, Skåne University Hospital Lund Sweden.
  • Janzon M; Department of Cardiology Skåne University Hospital Malmö Sweden.
  • Jonasson L; Cardiovascular Research Translational Studies, Department of Clinical Sciences Malmö Lund University Malmö Sweden.
  • Lind L; Department of Molecular and Clinical Medicine Institute of Medicine, Sahlgrenska Academy, University of Gothenburg Gothenburg Sweden.
  • Magnusson M; Department of Clinical Genetics and Genomics Sahlgrenska University Hospital Gothenburg Sweden.
  • Oskarsson V; Department of Medical Sciences Cardiology, Uppsala University Uppsala Sweden.
  • Sundström J; Uppsala Clinical Research Center Uppsala University Uppsala Sweden.
  • Svensson P; Department of Molecular and Clinical Medicine Institute of Medicine, Sahlgrenska Academy, University of Gothenburg Gothenburg Sweden.
  • Söderberg S; Pediatric Heart Centre, Queen Silvias Childrens hospital Sahlgrenska University Hospital Gothenburg Sweden.
  • Themudo R; Department of Medical Sciences Cardiology, Uppsala University Uppsala Sweden.
  • Östgren CJ; Uppsala Clinical Research Center Uppsala University Uppsala Sweden.
  • Jernberg T; Department of Cardiology and Department of Health, Medicine and Caring Sciences, Unit of Cardiovascular Sciences Linköping University Linköping Sweden.
J Am Heart Assoc ; 13(14): e034603, 2024 Jul 16.
Article em En | MEDLINE | ID: mdl-38958022
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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doença da Artéria Coronariana / Angiografia Coronária / Autorrelato / Angiografia por Tomografia Computadorizada Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doença da Artéria Coronariana / Angiografia Coronária / Autorrelato / Angiografia por Tomografia Computadorizada Idioma: En Ano de publicação: 2024 Tipo de documento: Article