title: Improved diagnostic performance on the severity of left ventricular hypertrophy with body surface mapping.
abstract: To improve the diagnostic usefulness of electrocardiography (ECG) in determining the severity of left ventricular hypertrophy (LVH) with body surface mapping, 87 unipolar ECGs were recorded from 57 patients with left ventricular (LV) concentric hypertrophy and 30 with LV dilatation. Body surface ECG features due to LVH were evaluated by increase of QRS voltage and delayed local activation. We measured for each lead R voltage, net area of QRS (AQRS), ventricular activation time (VAT), and departure index (DI) of AQRS and VAT (DI = mean/SD). From these measurements, seven parameters were calculated for each patient: Rmax, the maximal R wave voltage; AQRSmax, the maximal AQRS; AQRS-Dmax, the maximal AQRS DI; AQRS-Darea, the area size where DIs of AQRS are more than 2; VATmax, the maximal VAT; VAT-Dmax, the maximal VAT DI; and VAT-Darea, the area size where DIs of VAT are more than 2. Among these parameters, the most effective for diagnosis of LVH were selected by stepwise multiple regression analysis. In the concentric hypertrophy group, the combination of VAT-Darea and Rmax was determined to be the best for estimating wall thickness. The regression equation determined from them correlated well to wall thickness (r = 0.73). In the LV dilatation hypertrophy group, only AQRSmax was selected for estimating LV dilatation. A good correlation between AQRSmax and LV internal dimension was observed (r = 0.73). With the body surface distribution of VAT prolongation, septal hypertrophy was separated from the other LVH. These were superior to the conventional method of 12-lead ECGs. ECG diagnosis of LVH severity improved by incorporating a mapping study. Also, prolongation of VAT and increase in QRS voltage were shown to be important when determining the severity of LVH.
authors.affiliation: First Department of Internal Medicine, Yamagata University School of Medicine, Japan.
authors.forename: M
authors.initials: M
authors.lastname: Yamaki
authors.forename: K
authors.initials: K
authors.lastname: Ikeda
authors.forename: I
authors.initials: I
authors.lastname: Kubota
authors.forename: K
authors.initials: K
authors.lastname: Nakamura
authors.forename: K
authors.initials: K
authors.lastname: Hanashima
authors.forename: K
authors.initials: K
authors.lastname: Tsuiki
authors.forename: S
authors.initials: S
authors.lastname: Yasui
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D006332:Cardiomegaly / Q000175:diagnosis / Q000473:pathology / Q000503:physiopathology*; D004562:Electrocardiography / Q000379:methods*; D005163:Factor Analysis, Statistical; D006321:Heart / Q000502:physiology / Q000503:physiopathology; D006801:Humans; D008875:Middle Aged; D009206:Myocardium / Q000473:pathology; D012016:Reference Values