Why the study?
Pooling male and female data yields higher allometric exponents for left ventricular mass than sex-stratified analyses; whether this reflects within-sex clustering remained unclear.
Does sex-specific multilevel modelling improve the determination of the optimal power exponent b for allometric indexing of left ventricular mass in healthy subjects?
Does sex-specific multilevel modelling improve the determination of the optimal power exponent b for allometric indexing of left ventricular mass in healthy subjects?
Allometric indexing of left ventricular mass requires sex-specific values for the power exponent due to within-sex clustering.
Supports sex-specific power exponents for LVM indexing; leaves open prospective validation before clinical use.
Background: As echocardiographic left ventricular mass does not scale linearly with body surface area, indexing of left ventricular mass to height raised to the power exponent b has been proposed (‘allometric indexing’). Pooling data from males and females has been reported to lead to a higher value of b than when each sex is considered separately. We wished to determine if this is due to within-sex clustering, as this would change both how optimal b should be determined and how indexing should be performed. Methods: Echocardiograms were performed in rigorously screened healthy subjects (96 men, 133 women), and b was calculated as the relationship between left ventricular mass and body height. Results: Clustering was detected within men and women through analysis of regression model residuals, violating assumptions of independence. A hierarchical model was built to allow for clustering, and compared with treating males and females as separate populations using Bayesian regression. Bayes factor analysis showed greatest credibility of the clustered model with optimal b determined as 1.64 (0.68–2.82) and 0.96 (0.17–1.73) in men and women, respectively. Conclusion: Data from men and women are best suited to multilevel modelling, and b should therefore not be estimated after pooling. This indicates that allometric indexing may require sex-specific values either for the power exponent or for any subsequently derived reference ranges.
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Sahlén et al. (2023) studied this question.
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