Combining Personality Traits with Traditional Risk Factors for Coronary Stenosis: An Artificial Neural Networks Solution in Patients with Computed Tomography Detected Coronary Artery Disease. (3rd October 2013)

• Record Type: Journal Article
• Authors: Compare, Angelo; Grossi, Enzo; Buscema, Massimo; Zarbo, Cristina; Mao, Xia; Faletra, Francesco; Pasotti, Elena; Moccetti, Tiziano; Mommersteeg, Paula M. C.; Auricchio, Angelo
• Other Names: Rybakowski Janusz K. Academic Editor.
• Is Part Of: Cardiovascular psychiatry and neurology. Volume 2013(2013)
• Publication Date: 2013-10-03
• Subjects: Cardiovascular system -- Diseases -- Periodicals; Cardiovascular system -- Diseases -- Psychological aspects -- Periodicals; Psychiatry -- Periodicals; Cardiology -- Periodicals; Neurology -- Periodicals; Nervous system -- Diseases -- Periodicals; Cardiology; Cardiovascular system -- Diseases; Cardiovascular system -- Diseases -- Psychological aspects; Nervous system -- Diseases; Neurology; Psychiatry; Cardiovascular Diseases -- complications; Nervous System Diseases -- complications; Mental Disorders -- complications; Cardiology; Neurology; Psychiatry; Cardiovascular Diseases -- complications -- Periodicals; Nervous System Diseases -- complications -- Periodicals; Mental Disorders -- complications -- Periodicals; Cardiology -- Periodicals; Neurology -- Periodicals; Psychiatry -- Periodicals; Periodicals; Electronic journals; 616.81
• DOI: 10.1155/2013/814967
• Languages: English
• ISSNs: 2090-0163

Abstract

Abstract : Background . Coronary artery disease (CAD) is a complex, multifactorial disease in which personality seems to play a role but with no definition in combination with other risk factors. Objective . To explore the nonlinear and simultaneous pathways between traditional and personality traits risk factors and coronary stenosis by Artificial Neural Networks (ANN) data mining analysis. Method . Seventy-five subjects were examined for traditional cardiac risk factors and personality traits. Analyses were based on a new data mining method using a particular artificial adaptive system, the autocontractive map (AutoCM). Results . Several traditional Cardiovascular Risk Factors (CRF) present significant relations with coronary artery plaque (CAP) presence or severity. Moreover, anger turns out to be the main factor of personality for CAP in connection with numbers of traditional risk factors. Hidden connection map showed that anger, hostility, and the Type D personality subscale social inhibition are the core factors related to the traditional cardiovascular risk factors (CRF) specifically by hypertension. Discussion . This study shows a nonlinear and simultaneous pathway between traditional risk factors and personality traits associated with coronary stenosis in CAD patients without history of cardiovascular disease. In particular, anger seems to be the main personality factor for CAP in addition to traditional risk factors.