Key result
CAC plus traditional risk factors improves obstructive CAD prediction over standard models in young patients.
Why the study?
To compare the predictive effects of several prediction models on obstructive coronary artery disease in young patients aged 30-50 years, aiming to provide a new evaluation tool for premature coronary artery disease.
Does coronary artery calcium score combined with traditional risk factors improve the prediction of obstructive coronary artery disease compared to pre-test probability models in young patients with suspected symptoms?
Observational (n=532)
No
Does coronary artery calcium score combined with traditional risk factors improve the prediction of obstructive coronary artery disease compared to pre-test probability models in young patients with suspected symptoms?
Absolute Event Rate: 0.794% vs 0.697%
p-value: p=<0.001
Combining coronary artery calcium score with traditional risk factors improves the prediction of obstructive coronary artery disease in young symptomatic patients compared to standard pre-test probability models.
May enhance CAD prediction in young symptomatic patients; leaves open need for prospective outcome validation before practice change.
OBJECTIVES: This study attempts to compare the predictive effects of several prediction models on obstructive coronary artery disease (OCAD) in young patients (30-50 years old), with a view to providing a new evaluation tool for the prediction of premature coronary artery disease (PCAD). METHODS: A total of 532 hospitalized patients aged 30-50 were included in the study.All of them underwent coronary computed tomography angiography (CCTA) for suspected symptoms of coronary heart disease.Coronary artery calcium score (CACS) combined with traditional risk factors and pre-test probability models are the prediction models to be compared in this study.The PTP model was selected from the upgraded Diamond-Forrester model (UDFM) and the Duke clinical score (DCS). RESULTS: =0.6214,p < 0.001). By calculating the net reclassification index (NRI) and the integrated discrimination index (IDI), the ability to predict the risk of OCAD using the CACS combined with traditional risk factors was improved compared with the PTP models (NRI&IDI > 0,p < 0.05). CONCLUSION: The predictive value of CACS combined with traditional risk factors for OCAD in young patients is better than the PTP models.
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Sun et al. (2024) conducted an observational in Obstructive coronary artery disease (n=532). Coronary artery calcium score (CACS) combined with traditional risk factors vs. Pre-test probability (PTP) models (upgraded Diamond-Forrester model and Duke clinical score) was evaluated on Area under the curve (AUC) for predicting obstructive coronary artery disease (p=<0.001). Coronary artery calcium score plus traditional risk factors improved prediction of obstructive coronary artery disease in young patients compared to pre-test probability models (AUC 0.794 vs 0.697).
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