title: [Diagnosis of coronary stenosis by clinical data and computer-assisted analysis of stress test].
abstract: A probability algorithm (PA) was developed and tested using the clinical, exercise test and coronary arteriography (CA) data of 543 patients (pts) studied with the suspicion of coronary artery disease (CAD). The algorithm was constructed from the data of 361 consecutive pts and tested on a separate group of 182 pts. The two pts groups were comparable in all respect. The sensitivity of Pain the diagnosis of CAD was higher compared to the exercise test alone (73% versus 68%, p less than 0.05). The numbers of variables used for the PA didn't influence of the sensitivity. The authors suggest to use the probability algorithms in the clinical practice.
authors.affiliation: Fövárosi János Kórház-Rendelöintézet, III. Belgyógyázati Osztály.
authors.forename: A
authors.initials: A
authors.lastname: Jánosi
authors.forename: F
authors.initials: F
authors.lastname: Lindeisz
authors.forename: A
authors.initials: A
authors.lastname: Kádár
mesh_terms: D000465:Algorithms; D000790:Angiocardiography; D003327:Coronary Disease / Q000175:diagnosis*; D003936:Diagnosis, Computer-Assisted; D004562:Electrocardiography; D005080:Exercise Test; D006801:Humans; D011336:Probability
vernacular_title: A koszorúér-szükület diagnózisának felállítása klinikai jellemzök és a terheléses vizsgálat adatainak számítógépes elemzésével.