Cardiovascular Long-term Outcome in Patients Previously Undergoing Coronary CT Examination

Cardiovascular Long-term Outcome in Patients Previously Undergoing Coronary CT Examination - CLEO-PATRA

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

DRKS

Registry ID

DRKS00017269

Enrollment

5000

Registered

2019-05-29

Start date

2019-07-17

Completion date

Unknown

Last updated

2025-04-07

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

I25.0

Interventions

Group 1: To assess the long-term outcomes in patients undergoing coronary CT exami-nations with regard to mortality, cardiovascular hospital admissions and cardi-ovascular procedural interventions. P

Eligibility

Sex/Gender

All

Age

18 Years to No maximum

Inclusion criteria

Inclusion criteria: Patients fulfilling the following criteria: • 18+ years • Patient had coronary CT examination at study site between 2009 and 2014 • Written informed consent for participation in observational study (incl. telephone follow-ups) No explicit medical exclusion criteria are stated to avoid selection bias.

Exclusion criteria

Exclusion criteria: No explicit medical exclusion criteria are stated to avoid selection bias.

Design outcomes

Primary

Measure	Time frame
The main objective of the CLEO-PATRA study is to assess the cardiovascular long-term outcome in patients who previously underwent clinically indicated coronary CT examina-tions between 2009 and 2014. In detail, the main objective is to determine the mortality rate, the rate of cardiovascular hospital admissions and the rate of cardiovascular procedural interventions occurring since the index CT examination.	—

Measure

Time frame

The main objective of the CLEO-PATRA study is to assess the cardiovascular long-term outcome in patients who previously underwent clinically indicated coronary CT examina-tions between 2009 and 2014. In detail, the main objective is to determine the mortality rate, the rate of cardiovascular hospital admissions and the rate of cardiovascular procedural interventions occurring since the index CT examination.

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Secondary

Measure	Time frame
Thus, a further objective of this study is to build a system for the computer assisted anal-ysis of patient data from clinical cardiology. With the help of algorithms, information can be drawn from various sources, such as coronary CT examinations, laboratory parameters or the patient’s medical history, that is expected to provide prognostic clues to future cardiologic risks. Subsequently, using the given information and the patient’s known course of his disease, a computer system can be trained that may be able to draw con-clusions and predict cardiac risks. Siemens Healthineers will be provided with a complete-ly anonymized data set of the study data to investigate the predictive power of coronary CT examinations using machine-learning approaches.	—

Measure

Time frame

Thus, a further objective of this study is to build a system for the computer assisted anal-ysis of patient data from clinical cardiology. With the help of algorithms, information can be drawn from various sources, such as coronary CT examinations, laboratory parameters or the patient’s medical history, that is expected to provide prognostic clues to future cardiologic risks. Subsequently, using the given information and the patient’s known course of his disease, a computer system can be trained that may be able to draw con-clusions and predict cardiac risks. Siemens Healthineers will be provided with a complete-ly anonymized data set of the study data to investigate the predictive power of coronary CT examinations using machine-learning approaches.

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Countries

Germany

Contacts

Public ContactSebastian Diebold

IHF GmbH

diebold@ihf.de+49 621 59577 214

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Feb 4, 2026