Key result
The estimated prevalence of left ventricular hypertrophy in hypertension increases from about 30% using standard LVMI to 70% when using low-SD variables and multivariate discriminant function analysis.
Why the study?
Does the use of 'low-SD' variables, multivariate discriminant functions, or NMR imaging improve the detection of left ventricular hypertrophy in patients with hypertension compared to standard M-mode echocardiography?
Does the use of 'low-SD' variables, multivariate discriminant functions, or NMR imaging improve the detection of left ventricular hypertrophy in patients with hypertension compared to standard M-mode echocardiography?
Standard M-mode echocardiography significantly underestimates the prevalence of LVH in hypertension due to high standard deviations, suggesting that 'low-SD' variables or advanced imaging modalities should be used for more accurate risk assessment.
Standard LVMI may underestimate LVH prevalence in hypertension; leaves open whether low-SD or multivariate methods improve detection and risk stratification.
The reported prevalence of left ventricular hypertrophy (LVH) in human hypertension is much lower than that among animals with experimental hypertension. With current methods of determining left ventricular mass by M-mode echocardiography, the standard error of a single estimate is high and consequently so is the SD of the population distribution. This accounts for the large overlap in individual values of left ventricular mass index (LVMI) between hypertensive and normotensive groups. The high SD is due to the use of the cube algorithm for relating measurements made in a single plane to the whole left ventricle, and to the difference between actual and assumed left ventricular geometries. These are not problems with nuclear magnetic resonance imaging, which provides information about the entire left ventricle without assumptions about geometry. M-mode echocardiography is well suited for estimating differences between mean LVMI values for groups of subjects but it underestimates the prevalence of LVH. In most series only about 30% of hypertensives have been reported to have LVH. The estimated prevalence of structural remodelling is increased to 50-60% of the same group of subjects when 'low-SD' measurements such as wall thickness and the wall thickness: internal radius ratio are employed. The estimated prevalence of LVH and remodelling is still greater with multivariate discriminant function analysis, with which it is found in about 70% of hypertensives. Overall, the data suggest that prevalence of LVH in established hypertension is high. The 30% of subjects reported to have LVH on the basis of LVMI measurements that are beyond the limits of the control group probably have the most severe changes. The inability to detect lesser grades of left ventricular remodelling reliably is due to the way LVMI is derived by echocardiography, rather than to intrinsic inaccuracies. It suggests that existing approaches should be supplemented by greater use of 'low-SD' variables and discriminant functions. Detecting the full spectrum of left ventricular structural changes in individuals with hypertension is needed for risk assessment and, increasingly, for management aimed at minimizing irreversible myocardial damage. Nuclear magnetic resonance imaging provides 'global' and more accurate information about left chamber structure than does M-mode echocardiography but its cost at present is much greater. Nevertheless, the information provided by echocardiography may be adequate for the above applications, but the high SD of LVMI is a weakness. Greater use of 'low-SD' variables and multivariate discriminant functions may help overcome this problem.
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Körner et al. (1998) conducted a review in Hypertension and left ventricular hypertrophy. Echocardiographic low-SD variables and multivariate discriminant functions vs. Standard left ventricular mass index (LVMI) by M-mode echocardiography was evaluated on Prevalence of left ventricular hypertrophy. The estimated prevalence of left ventricular hypertrophy in hypertension increases from about 30% using standard LVMI to 70% when using low-SD variables and multivariate discriminant function analysis.
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