Comparing the Consistency and Performance of Various Coronary Heart Disease Prediction Models for Primary Prevention Using a National Representative Cohort in Taiwan.
Circ J
; 82(7): 1805-1812, 2018 06 25.
Article
em En
| MEDLINE
| ID: mdl-29709892
ABSTRACT
BACKGROUND:
Predicting future coronary artery disease (CAD) risk by model-based approaches can facilitate identification of high-risk individuals for prevention and management. Therefore, we compared the consistency and performance of various CAD models for primary prevention using 1 external validation dataset from a national representative cohort in Taiwan.MethodsâandâResults:
The 10 CAD prediction models were assessed in a validation cohort of 3559 participants (≥35 years old, 53.5% women) from a Taiwanese national representative cohort that was followed up for a median 9.70 (interquartile range, 9.63-9.74) years; 63 cases were documented as developing CAD events. The overall κ value was 0.51 for all 10 models, with a higher value for women than for men (0.53 for women, 0.40 for men). In addition, the areas under the receiver operating characteristics curves ranged from 0.804 (95% confidence interval, 0.758-0.851) to 0.847 (95% confidence interval, 0.805-0.889). All non-significant chi-square values indicated good calibration ability.CONCLUSIONS:
Our study demonstrated these 10 CAD prediction models for primary prevention were feasible and validated for use in Taiwanese subjects. Further studies of screening and management are warranted.Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Doença da Artéria Coronariana
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Valor Preditivo dos Testes
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Modelos Cardiovasculares
Tipo de estudo:
Etiology_studies
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Incidence_studies
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Observational_studies
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Prognostic_studies
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Risk_factors_studies
Limite:
Adult
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Female
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Humans
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Male
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Middle aged
País/Região como assunto:
Asia
Idioma:
En
Ano de publicação:
2018
Tipo de documento:
Article