Validation and Comparison of PROMISE and CONFIRM Model to Predict High-Risk Coronary Artery Disease in Symptomatic and Diabetes Mellitus Patients.
Rev Cardiovasc Med
; 23(3): 80, 2022 03 01.
Article
em En
| MEDLINE
| ID: mdl-35345247
ABSTRACT
BACKGROUND:
The identification of high-risk coronary artery disease (HRCAD) is important in diabetes mellitus (DM) patients. However, the reliability of current models to predict HRCAD has not been fully investigated. Thus, we aimed to validate and compare CONFIRM and PROMISE high-risk model (CHM and PHM) in DM patients.METHODS:
5936 symptomatic DM patients who underwent coronary computed tomographic angiography (CCTA) were identified. Probability of HRCAD for each patient was estimated based on CHM and PHM, respectively. We used Area under the receiver operating characteristic curve (AUC), integrated discrimination improvement (IDI), net reclassification improvement (NRI) and Hosmer-Lemeshow (H-L) test to evaluate model's predictive accuracy.RESULTS:
Overall, 470 (8%) patients had HRCAD on CCTA. There was no difference between the AUC for CHM and PHM (0.744 v.s. 0.721, p = 0.0873). Compared to CHM, PHM demonstrated a positive IDI (3.08%, p < 0.0001), positive NRI (12.50%, p < 0.0001) and less discrepancy between observed and predicted probabilities (H-L χ2 for CHM 35.81, p < 0.0001; H-L χ2 for PHM 23.75, p = 0.0025).CONCLUSIONS:
Compared to CHM, PHM was associated with a more accurate prediction for HRCAD and might optimize downstream management strategy in symptomatic patients with DM. CLINICAL TRIAL REGISTRATION ClinicalTrials.gov (NCT04691037).Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Doença da Artéria Coronariana
/
Estenose Coronária
/
Diabetes Mellitus
Tipo de estudo:
Diagnostic_studies
/
Etiology_studies
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Prognostic_studies
/
Risk_factors_studies
Limite:
Humans
Idioma:
En
Revista:
Rev Cardiovasc Med
Assunto da revista:
ANGIOLOGIA
/
CARDIOLOGIA
Ano de publicação:
2022
Tipo de documento:
Article
País de afiliação:
China