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Statistical dependence of clinical data on the chosen treatment of patients with a multivessel coronary artery disease

Piotr Walichiewicz, Jan Wodniecki, Krzysztof Szczurek-Katański, Wojciech Jacheć, Ewa Nowalany-Kozielska, Przemysław Trzeciak, Justyna Janik

Med Sci Monit 2001; 7(1): CR78-83 :: ID: 510910

Abstract

Background: In this study we tried to check which clinical data are connected with the choice of treatment in patients with a multivessel coronary artery disease.
Material/Methods: The data of 137 patients with a multivessel coronary artery disease, were analysed retrospectively. The patients were divided into three groups: treated conservatively, CABG and PTCA. Multivessel coronary artery disease was recognised when there were atherosclerotic changes in more a 2 vessels with a not less a 2 mm in diameter. Patients with previous CABG or a left main coronary artery disease were excluded. The data were analysed by means of several methods, variance analysis, correlation analysis, discriminant functions, chi-square test and T-Student test.
Results: For treatment decision making in multivessel coronary artery disease of statistical significance were: the state of the left anterior descendent artery below the first diagonal branch, the state of the first diagonal branch and peripheral parts of the left anterior descendent artery and right coronary artery, the systolic function of the antero-lateral, apical and phrenic segments of the left ventricle, the global left ventricular ejection fraction in angiography and echocardiography, local systolic disturbances of the left ventricular observed in echocardiography, the coexistence of symptoms of heart failure as well as unstable angina.
Conclusions: Treatment decision making will always depend not only on diagnostic procedures but also on all the clinical data about the patient and the experience of coworking cardiology and surgery centres.

Keywords: Decision Making, multivessel coronary artery disease

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Medical Science Monitor eISSN: 1643-3750
Medical Science Monitor eISSN: 1643-3750