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Published on: June 10, 2025
Coronary risk stratification of patients with newly diagnosed heart failure
Rasmus Bo Hasselbalch1, Mia Pries-Heje1, Thomas Engstrøm2
1Department of Cardiology, Herlev og Gentofte Hospital, Herlev, Denmark.
Insights
A new CT-HF score helps identify patients with heart failure (HF) who have a low risk of coronary artery disease (CAD). This score can guide decisions on using non-invasive multislice CT (MSCT) instead of coronary angiography (CAG).
Area of Science:
- Cardiology
- Medical Imaging
- Risk Stratification
Background:
- Coronary artery disease (CAD) is common in patients with newly diagnosed heart failure (HF).
- Multislice CT (MSCT) is a non-invasive imaging technique for assessing CAD risk.
- Defining patients suitable for MSCT over coronary angiography (CAG) remains challenging.
Purpose of the Study:
- To develop a simple clinical risk score to identify patients with newly diagnosed heart failure (HF) at low pretest risk for coronary artery disease (CAD).
- To establish a tool for selecting appropriate patients for non-invasive multislice CT (MSCT) as a gatekeeper to coronary angiography (CAG).
Main Methods:
- Retrospective analysis of 2171 patients with newly diagnosed HF undergoing CAG.
- Development of the CT-HF score using multivariable logistic regression to identify CAD predictors.
- Validation of the CT-HF score in an independent cohort of 2795 patients.
Main Results:
- The CT-HF score identified 61% of patients as having a low risk (15%) of significant CAD.
- Extracardiac arteriopathy was the strongest predictor (OR 2.84), followed by male sex, smoking, hyperlipidaemia, diabetes, angina, and age.
- Utilizing the score could lead to estimated savings of 15% in costs and 21% in radiation exposure.
Conclusions:
- A simple clinical risk score effectively identifies HF patients with low CAD risk.
- These patients may benefit from MSCT as a preferred initial diagnostic test over CAG.
- The CT-HF score aids in optimizing diagnostic pathways for CAD in HF patients.
Objective:
Coronary artery disease (CAD) is frequent in patients with newly diagnosed heart failure (HF). Multislice CT (MSCT) is a non-invasive alternative to coronary angiography (CAG) suggested for patients with a low-to-intermediate risk of CAD. No established definition of such patients exists. Our purpose was to develop a simple score to identify as large a group as possible with a suitable pretest risk of CAD.
Methods:
Retrospective study of patients in Denmark undergoing CAG due to newly diagnosed HF from 2010 to 2014. All Danish patients were registered in two databases according to geographical location. We used data from one registry and multiple logistic regression with backwards elimination to find predictors of CAD and used the derived OR to develop a clinical risk score called the CT-HF score, which was subsequently validated in the other database.
Results:
The main cohort consisted of 2171 patients and the validation cohort consisted of 2795 patients with 24% and 27% of patients having significant CAD, respectively. Among significant predictor, the strongest was extracardiac arteriopathy (OR 2.84). Other significant factors were male sex, smoking, hyperlipidaemia, diabetes mellitus, angina and age. A proposed cut-off of 9 points identified 61% of patients with a 15% risk of having CAD, resulting in an estimated savings of 15% of the cost and 21% of the radiation.
Conclusions:
A simple score based on clinical risk factors could identify HF patients with a low risk of CAD; these patients may have benefitted from MSCT as a gatekeeper for CAG.
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