A koszorúér-szükület diagnózisának felállítása klinikai jellemzök és a terheléses vizsgálat adatainak számítógépes elemzésével.

Translated title of the contribution: Diagnosis of coronary stenosis by clinical data and computer-assisted analysis of stress test

A. Jánosi, F. Lindeisz, A. Kádár

Research output: Contribution to journalArticle

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.

Original languageHungarian
Pages (from-to)1473-1478
Number of pages6
JournalOrvosi Hetilap
Volume132
Issue number27
Publication statusPublished - Jul 7 1991

Fingerprint

Coronary Stenosis
Exercise Test
Coronary Artery Disease
Angiography
Pain

ASJC Scopus subject areas

  • Medicine(all)

Cite this

@article{9264aef6ba76483385cb1a63c465e2d4,
title = "A koszor{\'u}{\'e}r-sz{\"u}k{\"u}let diagn{\'o}zis{\'a}nak fel{\'a}ll{\'i}t{\'a}sa klinikai jellemz{\"o}k {\'e}s a terhel{\'e}ses vizsg{\'a}lat adatainak sz{\'a}m{\'i}t{\'o}g{\'e}pes elemz{\'e}s{\'e}vel.",
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.",
author = "A. J{\'a}nosi and F. Lindeisz and A. K{\'a}d{\'a}r",
year = "1991",
month = "7",
day = "7",
language = "Hungarian",
volume = "132",
pages = "1473--1478",
journal = "Orvosi Hetilap",
issn = "0030-6002",
publisher = "Akademiai Kiado",
number = "27",

}

TY - JOUR

T1 - A koszorúér-szükület diagnózisának felállítása klinikai jellemzök és a terheléses vizsgálat adatainak számítógépes elemzésével.

AU - Jánosi, A.

AU - Lindeisz, F.

AU - Kádár, A.

PY - 1991/7/7

Y1 - 1991/7/7

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0026418919&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0026418919&partnerID=8YFLogxK

M3 - Article

VL - 132

SP - 1473

EP - 1478

JO - Orvosi Hetilap

JF - Orvosi Hetilap

SN - 0030-6002

IS - 27

ER -