Ranking of stroke and cardiovascular risk factors for an optimal risk calculator design: Logistic regression approach.
AUC
Cardiovascular risk calculator
Conventional cardiovascular risk factors
Covariates
Image-based phenotypes
Logistic regression
Odds ratio
Performance
Ranking
p-value
Journal
Computers in biology and medicine
ISSN: 1879-0534
Titre abrégé: Comput Biol Med
Pays: United States
ID NLM: 1250250
Informations de publication
Date de publication:
05 2019
05 2019
Historique:
received:
23
01
2019
revised:
21
03
2019
accepted:
21
03
2019
pubmed:
21
4
2019
medline:
1
7
2020
entrez:
21
4
2019
Statut:
ppublish
Résumé
Conventional cardiovascular risk factors (CCVRFs) and carotid ultrasound image-based phenotypes (CUSIP) are independently associated with long-term risk of cardiovascular (CV) disease. In this study, 26 cardiovascular risk (CVR) factors which consisted of a combination of CCVRFs and CUSIP together were ranked. Further, an optimal risk calculator using AtheroEdge composite risk score (AECRS1.0) was designed and benchmarked against seven conventional CV risk (CVR) calculators. Two types of ranking were performed: (i) ranking of 26 CVR factors and (ii) ranking of eight types of 10-year risk calculators. In the first case, multivariate logistic regression was used to compute the odds ratio (OR) and in the second, receiver operating characteristic curves were used to evaluate the performance of eight types of CVR calculators using SPSS23.0 and MEDCALC12.0 with validation against STATA15.0. The left and right common carotid arteries (CCA) of 202 Japanese patients were examined to obtain 404 ultrasound scans. CUSIP ranked in the top 50% of the 26 covariates. Intima-media thickness variability (IMTV) and IMTV AECRS1.0
Identifiants
pubmed: 31005010
pii: S0010-4825(19)30099-X
doi: 10.1016/j.compbiomed.2019.03.020
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
182-195Informations de copyright
Copyright © 2019 Elsevier Ltd. All rights reserved.