Usefulness of the Framingham risk score and body mass index to predict early coronary artery calcium in young adults (Muscatine Study)

Citation
Lt. Mahoney et al., Usefulness of the Framingham risk score and body mass index to predict early coronary artery calcium in young adults (Muscatine Study), AM J CARD, 88(5), 2001, pp. 509-515
Citations number
26
Categorie Soggetti
Cardiovascular & Respiratory Systems","Cardiovascular & Hematology Research
Journal title
AMERICAN JOURNAL OF CARDIOLOGY
ISSN journal
00029149 → ACNP
Volume
88
Issue
5
Year of publication
2001
Pages
509 - 515
Database
ISI
SICI code
0002-9149(20010901)88:5<509:UOTFRS>2.0.ZU;2-7
Abstract
The value of a coronary artery disease prediction algorithm, the Framingham risk score (score), for detecting coronary artery calcium (CAC) was examin ed in 385 men and 472 women, aged 29 to 43 years. Scores were compared in s ubjects with and without CAC and were also used to predict presence of CAC. Receiver-operating, characteristic curves were computed to compare differe nt prediction models. The score model was compared with age only, natural l ogarithm of body mass index (InBMI) only, and score plus InBMI models. CAC was detected in 30% of men and 16% of women. The mean score was significant ly higher in men and women with CAC. For every 2-point increase in the scor e, the odds of CAC increased by 30% in women and 20% in men., Significant a ssociations between CAC status and risk factors were observed for age in wo men, and high-density lipoprotein cholesterol and blood pressure in men and women. The area under the receiver-operating characteristic curve for the score was 0.67 and 0.57 for women and men, respectively. When InBMI was add ed to the score model, the area increased to 0.76 in women (InBMI p <0.0001 , score p <0.005). For men, the area increased from 0.57 to 0.67, and the s core was no longer significant (p >0.60) in the model with InBMI (p <0.0001 ). Score predicts CAC in asymptomatic young adults. Inclusion of InBMI in t he score model adds significantly to the prediction of CAC in women and men . The InBMI model has a greater predictive value than the score in this you ng population. (C) 2001 by Excerpta Medica, Inc.