The predictive value of coronary artery calcium score combined with traditional risk factors for obstructive coronary heart disease in young people
Year: 2024
Type: article
Study design: Observational Study
Abstract: 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.
Source: BMC Cardiovascular Disorders
Authors: Ronglin Sun, Weili Pan, Minxian Wang, Xiaohong Chen, Da Yin, Yongkui Ren
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,890
OpenAlex ID: W4402403549
