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Related Concept Videos

Blood Studies for Cardiovascular System I: Cardiac Biomarkers01:20

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High-Resolution Cardiac Positron Emission Tomography/Computed Tomography for Small Animals
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The Swedish CArdioPulmonary BioImage Study: objectives and design.

G Bergström1,2, G Berglund3, A Blomberg4

  • 1Department of Molecular and Clinical Medicine, University of Gothenburg, Gothenburg, Sweden.

Journal of Internal Medicine
|June 23, 2015
PubMed
Summary
This summary is machine-generated.

The Swedish CArdioPulmonarybioImage Study (SCAPIS) will update cardiopulmonary disease risk prediction. This large cohort study uses advanced imaging and omics to understand disease mechanisms and improve prevention strategies.

Keywords:
cardiovascularepidemiologymetabolismpulmonarytrial design

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Area of Science:

  • Cardiology
  • Pulmonology
  • Epidemiology
  • Biomarkers
  • Medical Imaging

Background:

  • Cardiopulmonary diseases are leading global causes of mortality.
  • Current diagnostic and prevention strategies may be outdated due to evolving risk factors.
  • There is a need for updated approaches to risk prediction and disease mechanism research.

Purpose of the Study:

  • To extensively characterize a Swedish cohort using novel imaging and omics technologies.
  • To improve the prediction of cardiopulmonary disease risk.
  • To enhance the understanding of cardiopulmonary disease mechanisms.

Main Methods:

  • The Swedish CArdioPulmonarybioImage Study (SCAPIS) involves 30,000 individuals aged 50-64.
  • Combines advanced imaging technologies, large-scale omics data, and epidemiological analyses.
  • A pilot study demonstrated the feasibility, financial, and ethical aspects of SCAPIS.

Main Results:

  • Pilot study (1111 individuals) successfully demonstrated feasibility.
  • Recruitment for the national, multicenter study has commenced.
  • The study is poised to generate comprehensive data on a large cohort.

Conclusions:

  • SCAPIS is a significant initiative to address outdated cardiopulmonary disease strategies.
  • The study will provide crucial data for improved risk prediction and mechanistic insights.
  • Findings are expected to optimize prevention and diagnosis of cardiopulmonary diseases.