Allometric Relationships for Cardiac Size and Longitudinal Function in Healthy Chinese Adults　― Normal Ranges and Clinical Correlates ―

Abstract

An optimal of 1.66 for LVM in healthy Chinese was found to validate well, with superior clinical utility both to that of BSA-based indexing and to=2.7. The effect of allometric indexing of cardiac function requires further study.

Allometric Indexing of Left Ventricular Mass in Echocardiography: Differences Between Men and Women

“…7 Moreover, in an earlier article from our group, we performed the largest analysis to date of optimal b, in a population of healthy, Chinese men (n=1,541; median age 19 years), and found a similar optimal value of b to those in white people in MESA (1.66). 4 As such, we do not believe the results of the present study are attributable to race alone.…”

“…As we have previously emphasised, an arithmetic consideration when indexing the size of an organ to overall body size is that the uncorrected quantity must be a linear function of its indexator with zero intercept. 4,15 In other words, the better an indexing exponent is able to explain the dependence of LVM on height, the closer its regression line will pass to the origin of the diagram. We, therefore, performed an appropriateness check post hoc to study the adequacy of the obtained coefficients by regressing LVM on height raised to the power in question and subsequently plotting the regression line.…”

“…This is potentially important, as each of these affects up to one-quarter of the adult population, and neither would have been excluded from any of the earlier populations where optimal b was defined. [4][5][6][7]22 While individuals with impaired glucose tolerance and masked hypertension are typically asymptomatic, both conditions have been identified as independent predictors of LV remodelling and increased wall thickness. 23 Similarly, we excluded all subjects with hyperlipidaemia, a condition recently shown to be a direct cause of LV remodelling and hypertrophy in Mendelian randomisation analysis.…”

“…1 Empirical data from our group and others have indeed shown benefit of allometric over conventional indexing, not only in terms of fitting models to data, but also for predicting clinical outcomes. [2][3][4] While conventional, BSA-indexed values for LVM are referenced against different ranges in males and females, little is known about how betweensex differences should be addressed in allometric analysis. While early papers pooled subjects into a single population, they also analysed males and females separately.…”