title: A new prediction score for myocardial infarction: MINF SCORE.
abstract: 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.
  
  
  METHODS
  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).
  
  
  RESULTS
  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.
  
  
  CONCLUSIONS
  The newly generated system can become a useful tool in coronary risk evaluation, with direct application in clinical practice.
authors.affiliation: Department of Normal Morphology and Functions, Iuliu Haţieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania. teodora_mocan@yahoo.com
authors.forename: Teodora
authors.initials: T
authors.lastname: Mocan
authors.forename: Lucia
authors.initials: L
authors.lastname: Agoşton-Coldea
authors.forename: M
authors.initials: M
authors.lastname: Gatfossé
authors.forename: Sophie
authors.initials: S
authors.lastname: Rosenstingl
authors.forename: L C
authors.initials: LC
authors.lastname: Mocan
authors.forename: D L
authors.initials: DL
authors.lastname: Dumitraşcu
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D002097:C-Reactive Protein / Q000378:metabolism; D003430:Cross-Sectional Studies; D005260:Female; D006305:Health Status Indicators; D006801:Humans; D008055:Lipids / Q000097:blood; D008297:Male; D008875:Middle Aged; D009203:Myocardial Infarction / Q000097:blood / Q000175:diagnosis* / Q000209:etiology*; D011237:Predictive Value of Tests; D015203:Reproducibility of Results; D018570:Risk Assessment; D012307:Risk Factors
chemical_list: D008055:Lipids; D002097:C-Reactive Protein