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External validation of the CRAX2MACE model in an Italian cohort of patients with suspected coronary artery disease undergoing stress myocardial perfusion imaging
- Publication Year :
- 2022
-
Abstract
- Background. Prevention and development of diagnostic and therapeutic techniques reduced morbidity and mortality for coronary artery disease (CAD). In this context, the cardiovascular risk assessment for major adverse cardiac events (MACE) at 2-year (CRAX2MACE) model for prediction of 2-year major adverse cardiac events was developed. We performed an external validation of this model. Methods. We included 1003 patients with suspected CAD undergoing stress-rest single photon emission computed tomography myocardial perfusion imaging at our academic center between March 2015 and April 2019. Results. Considering the occurrence of MACE (death from any cause, acute myocardial infarction, or late coronary revascularization), for the CRAX2MACE model the area under the receiver operating characteristic curve was 0.612 and the Brier score was 0.061. The Hosmer–Lemeshow test estimated a non-optimal fit (X2 28, P < .001). Considering only hard events (cardiac death, acute myocardial infarction), the external validation of the CRAX2MACE model revealed a Brier score of 0.053 and an area under the receiver operating characteristic curve of 0.621. Hosmer–Lemeshow test was calculated by deciles and showed a poor fit (X2 31, P < .001). Conclusion. CRAX2MACE model had a limited value for predicting 2-year major adverse cardiovascular events in an external validation cohort of patients with suspected CAD.
- Subjects :
- medicine.medical_specialty
medicine.diagnostic_test
Receiver operating characteristic
business.industry
Context (language use)
medicine.disease
Coronary artery disease
Myocardial perfusion imaging
Brier score
Internal medicine
Cohort
medicine
Cardiology
Radiology, Nuclear Medicine and imaging
Myocardial infarction
Cardiology and Cardiovascular Medicine
business
CAD, SPECT, MPI, Diagnostic and prognostic application
Mace
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....4da86f7709b29046ee05caccd782a179