Is Height 2.7 Appropriate for Indexation of Left Ventricular Mass in Healthy Adolescents? The Importance of Sex Differences

Author:

Taylor Hannah C. M.123ORCID,Chaturvedi Nishi1ORCID,Davey Smith George45ORCID,Ferreira Diana L. S.45,Fraser Abigail45ORCID,Howe Laura D.45,Hughes Alun D.1ORCID,Lawlor Debbie A.45,Timpson Nic J.45,Park Chloe M.1

Affiliation:

1. MRC Unit for Lifelong Health and Ageing, University College London, United Kingdom (H.C.M.T., N.C., A.D.H., C.M.P.).

2. Oxford Population Health (NDPH), University of Oxford, United Kingdom (H.C.M.T.).

3. Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, United Kingdom (H.C.M.T.).

4. MRC Integrative Epidemiology Unit, University of Bristol, United Kingdom (G.D.S., D.L.S.F., A.F., L.D.H., D.A.L., N.J.T.).

5. Bristol Population Health Science Institute, Bristol Medical School, University of Bristol, United Kingdom (G.D.S., D.L.S.F., A.F., L.D.H., D.A.L., N.J.T.).

Abstract

BACKGROUND: Left ventricular mass (LVM) is an important predictor of cardiovascular risk. In adolescence, LVM is commonly indexed to height 2.7 , although some evidence suggests that this may not fully account for sex differences. METHODS: We investigated appropriate allometric scaling of LVM to height, total lean mass, and body surface area, in a UK birth cohort of 2039 healthy adolescents (17±1 years). Allometric relationships were determined by linear regression stratified by sex, following log transformation of x and y variables [log(y)=a+b×log(x)], b is the allometric exponent. RESULTS: Log (LVM) showed linear relationships with log(height) and log(lean mass). Biased estimates of slope resulted when the sexes were pooled. The exponents were lower than the conventional estimate of 2.7 for males (mean [95% CI]=1.66 [1.30–2.03]) and females (1.58 [1.27–1.90]). When LVM was indexed to lean mass, the exponent was 1.16 (1.05–1.26) for males and 1.07 (0.97–1.16) for females. When LVM was indexed to estimated body surface area, the exponent was 1.53 (1.40–1.66) for males and 1.34 (1.24–1.45) for females. CONCLUSIONS: Allometric exponents derived from pooled data, including men and women without adjustment for sex were biased, possibly due to sex differences in body composition. We suggest that when assessing LVM, clinicians should consider body size, body composition, sex, and age. Our observations may also have implications for the identification of young individuals with cardiac hypertrophy.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Internal Medicine

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