![]() |
International Journal of Bioelectromagnetism Vol. 5, No. 1, pp. 263-264, 2003. |
www.ijbem.org |
|
Dependence of the Ventricular Gradient Liudas Gargasas, Alfonsas Vainoras,
Svetlana Kaminskiene, Grazina Urbonaviciene, Institute of Cardiology, Kaunas University of Medicine, Kaunas, Lithuania Correspondence: L Gargasas, Institute of Cardiology,
Kaunas University of Medicine, Sukileliu av. 17-106, Kaunas, 3007 Lithuania. Abstract. The aim of this article
was to evaluate the variation of magnitude of ventricular gradient in case
of myocardial infarction, stable and unstable angina pectoris, and also in
various degree of narrowing of coronary arteries. For this purpose the 12
lead high resoliution ECGs of 220 patients with ischemic heart disease and
44 healthy control subjects were recorded 5 minutes and analysed by ECG computer
analysis system and special software for ventricular gradient calculation
developed in Kaunas Institute of Cardiology. The coefficient of beat-to-beat
variation of ventricular gradient magnitude was significantly (p<0.001)
higher for patients with ischemic heart disease as compared to healthy persons.
This parameter was different in patients with narrowing one and three coronary
arteries 5.6 and 6.4 accordingly, and also was increasing with rise of severity
of ishemic heart disease syndromes stable angina pectoris (6.1), unstable
angina pectoris (7.0) and myocardial infarction (7.4).
Keywords: 12 Lead ECG; Ventricular Gradient; Coefficient of Variation; Ischemic Heart Disease; Coronary arteriography 1. Introduction The early detection of ischemic heart disease (IHD) is superior problem of cardiology, and searching for cost-effective noninvasive methods for diagnosis of IHD is the main task of scientific research in cardiology. In the last decade a beat-to-beat variation of various ECG parameters such as RR interval, late potentials, ventricular repolarisation and ventricular gradient have been investigated in aim to use these parameters for IHD detection [ Horinaka et al., 1995; Coudere et al., 1998; Sornmo et al., 1998; Murabayashi et al., 2002]. The investigation of ventricular gradient variability we started few years ago in aim to enrich the medical knowledge base of expert system for early detection of IHD that is developed in our institution [Gargasas et al., 1996]. The performed study permit to conclude that variability of ventricular gradient is good marker of IHD [Gargasas et al., 2000] and more precise investigation of this parameter must be performed. For this reason the aim of presented article was evaluation of beat-to-beat variation of ventricular gradient for patients with myocardial infarction, stable and unstable angina pectoris and with various degree of narrowing of coronary arteries. 2. Materials and Methods The subjects of this study were 44 healthy controls and 220 patients (pts) with IHD, which were distributed into seven groups: Group C - 44 healthy subjects, 28 females (F), 16 males (M), mean age 30±7 years. Group 1 - 63pts with by coronary arteriography excluded narrowing of coronary arteries(CA) : 17 F, 46 M; mean age 56±9 years; 28 with unstable angina pectoris(UAP), 27 with stable angina pectoris(SAP) and 8 with X syndrome. Group 2 57pts with by coronary arteriography confirmed narrowing (more than 50%) of one CA: 11 F, 56 M; mean age 61±9 years; 35 with UAP, 22 with SAP. Group 3 45pts with narrowing of three main CA: 11 F, 34 M; mean age 61±10 years; 30 with UAP, 16 with SAP. Group 4 55pts with MI: 12 F, 43 M; mean age 60±11 years; 29 with inferior MI, 23 with anterior MI and 3 with circumflex MI; 31 - MI with Q wave, 24 MI without Q wave. Group 5 40pts from Group 2 and Group 3 with SAP. Group 6 62pts from Group 2 and Group 3 with UAP. The 12 lead high resolution ECGs were recorded 5 minutes and analyzed by ECG computer analysis system and software for ventricular gradient calculation developed in our institution. Since in our cardiologic clinic the standard 12 lead ECG is used, Dower matrix for Frank VCG reconstructing have been used [Edenbrandt and Pahlm, 1988]. The magnitude of ventricular gradient (VGM), its standard deviation (SD), its coefficient of variation (CV) and SD of CV have been determined. 3. Results and Discussion The results of study are presented in Table 1. The CV was significantly (p<0.001) larger for patients with damaged CA (Groups 2-6) as compared with healthy subjects (Group C). The CV was also increased (5.6) but not significantly (p³0.1) in patients of Group 1 with slightly or not narrowed CA. The number of damaged CA had also influence to CV, and for patients with three narrowed CA (Group 3) was more prominent (7.1) as compared with cases, when only one CA (Group 2) was narrowed (6.4). With respect to various IHD syndromes, the ventricular gradient was most variable for patients with MI (7.4), less for patients with UAP (7.0) and SAP (6.1), but CV difference between UAP and SAP groups was not significant (p³0.1) as well as between MI and UAP groups. Table 1.
The values of the ventricular gradient magnitude(VGM) and
its coefficient of beat-to-beat variation(CV)
The VGM was significantly (p<0.001) larger for healthy persons as compared with patients. There were also significant differences of VGM between other groups, but the value of VGM was not related to severity and syndromes of IHD. 4. Conclusions 4.1. The coefficient of beat-to-beat variation of magnitude of ventricular gradient was significantly (p<0.001) larger for patients with clinically and arteriographically confirmed ischemic heart disease as compared with healthy persons. The ventricular gradient magnitude was significantly (p<0.001) higher in healthy persons as compared with patients. 4.2. The coefficient of variation of ventricular gradient magnitude was mediocre different in patients with narrowing of one and three coronary arteries 5.6 and 6.4 respectively. 4.3. The coefficient of variation of ventricular gradient magnitude have tendency to increase with rise of severity of ischemic heart disease syndromes: for patients with stable angina pectoris it was 6.1, with unstable angina pectoris 7.0 and with myocardial infarction 7.4. References Coudere JPh, Zareba W, Burattini L. Beat-to-beat repolarization variability in amplitude and duration in LQTS patients with the SCN5A sodium channel gene mutation. Journal of Eelectrocardiology, 31(suppl.):34-35, 1998. Edenbrandt L, Pahlm O. Vectorcardiogram syntesized from a 12-lead ECG: superiority of the inverse Dower matrix. Journal of Electrocardiology, 21: 361-367, 1988. Gargasas L, Ruseckas R, Torrau I, Miskinis V, Jurkoniene R, Cizas M, Kirmonas A. An expert system for early recognition of ischemic heart disease. Medical & Biological Engineering & Computing,34: 401-402, 1996. Gargasas L, Ruseckas R, Miskinis V. The ventricular gradient and heart rate variability for detectionof ischemic heart disease. In proceedings of the XXVIII International Congress on Electrocardiology Electrocardiology’2000, 2000, 241-244. Horinaka S, Yamamoto H, Tabuchi T, Takada M, Akabane T, Onoda M, Yagi S. Ventricular gradient variability. New ECG method for detection of ischemic heart disease. Journal of Electrocardiology, 28(5): 177-183, 1995. Murabayashi T, Fetics B, Kass D, Nevo E, Gramatikov B, Berger RD. Beat-to-beat QT interval variability associated with acute myocardial ischemia. Journal of Electrocardiolgy, 35(1): 19-25, 2002. Sornmo L, Wohlfrat B, Berg J, Pahlm O. Beat-to-beat QRS variability in the 12-lead ECG and the detection of coronary artery disease. Journal of Electrocardiology, 31(4): 336-344, 1998.
|
||||||||||||||||||||||||||||||||||||||||||||||||||||