Swedish CArdioPulmonary bioImage Study - SCAPIS
A nationwide, open-access, population-based cohort for the study of cardiovascular disease (CVD) and chronic obstructive pulmonary disease (COPD)
Data open for access
SCAPIS is a resource providing detailed data from 30,154 men and women aged 50–64. The goal is to predict and prevent cardiovascular disease and chronic obstructive pulmonary disease by building this research resource.
All participants have undergone advanced imaging and functional analyses of the cardiovascular and pulmonary systems. The data were collected at six university hospitals in Sweden (Linköping, Gothenburg, Malmö/Lund, Stockholm, Umeå, and Uppsala).
The significant contribution of SCAPIS is that it combines size with extensive phenotyping.
Researchers based in Sweden or international researchers connected to a research institution in Sweden such as a university or a regional health care authority are welcome to apply for data.
Apply for data access
Access to SCAPIS is granted on a case by case basis. Applications are to be submitted electronically on the SCAPIS portal. Prior to submitting for data access, please ensure that all the requirements have been fulfilled.
Apply for dataLatest news
- 2026-10-14
The SCAPIS portal will be closed in November
The SCAPIS portal will be closed from 3 to 30 November to allow preparations for the release.
- 2026-10-14
Left ventricular mass data
Left ventricular mass, volume and dimensions (all sites) from the baseline examination – released on 14 October.
- 2026-10-14
What data will be released?
Find out which data will be included in the first release under Upcoming releases.
- 2026-10-14
Release of re-examination data
The first release of data from the re-examination (SCAPIS 2) will take place on Monday, 30 November.
Latest publications
Asthma and Impaired Sleep: Identifying Treatable Traits in the SCAPIS Study
Wang J., Blomberg A., Ekström M., et al.
J Asthma Allergy . 2026 Nov 1:19:639747. doi: 10.2147/JAA.S639747. eCollection 2026.
Lobar analysis of classical and deep learning radiomic features in chronic airflow limitation
Bäcklin E., Janerot-Sjoberg B., Smedby Ö., et al.
BMC Med Imaging . 2026 Oct 31;26(1):565. doi: 10.1186/s12880-026-03020-9.
Epicardial adipose tissue volumes improve prediction of myocardial infarction in women on top of SCORE2, CACS and plaque burden: Long-term follow-up of 25,000 individuals
Molnar D., Wang C., Björnson E., et al.
J Cardiovasc Comput Tomogr . 2026 Oct 29:S1934-5925(26)00500-9. doi: 10.1016/j.jcct.2026.10.005. Online ahead of print.
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