A new prediction score for myocardial infarction: MINF SCORE
Mocan, T.; Agoşton-Coldea, L.; Gatfossé, M.; Rosenstingl, S.; Mocan, L.C.; Dumitraşcu, D.L.
Romanian Journal of Internal Medicine 46(2): 145-151
2008
ISSN/ISBN: 1220-4749 PMID: 19284086 Document Number: 622430
The present report aims to generate a simple and efficient non-invasive prediction system of myocardial infarction as well as evaluating of the new generated score. 208 patients (both men and women) aged 37-75 admitted at Centre Hospitalier Coulommiers, France, were included in the study. Patients were divided into two groups, according to presence (104 patients, 63.7 +/- 9.2 years) and absence of myocardial infarction (104 patients, 58.1 +/- 12.4 years). Based on univariate and multivariate analyses the following parameters were selected to form the prediction model: age, lipoprotein (a), C-reactive protein, systolic blood pressure, non-HDL-Cholesterol. A new score was obtained and it was validated by the area under the ROC curve of 0.745 +/- 0.034 (95% CI = 0.681-0.804), p < 0.0001. For the newly generated score, at the cut-off point (> -0.3), we obtained the following accuracy parameters: sensibility=80%, specificity=62.5%, positive predictive values=65%, negative predictive values =78%. The mentioned parameters were superior to values of each component of the score individually analyzed. The newly generated system can become a useful tool in coronary risk evaluation, with direct application in clinical practice.