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Impact of ethnicity on left ventricular mass and relative wall thickness in essential hypertension

M Zabalgoitia1, S N Ur Rahman, W E Haley

  • 1University of Texas Health Science Center at San Antonio, 78284-7872, USA.

Insights

Ethnicity impacts left ventricular (LV) mass and cardiac adaptation patterns in hypertension. Indexing LV mass to height better represents concentric hypertrophy across ethnic groups.

Area of Science:

  • Cardiology
  • Hypertension Research
  • Population Health

Background:

  • Left ventricular (LV) mass and relative wall thickness are key indicators of cardiac adaptation in hypertension.
  • Previous studies suggest potential ethnic variations in these parameters, but standardization of measurement remains a challenge.

Purpose of the Study:

  • To investigate the influence of ethnicity on LV mass and relative wall thickness in patients with mild to moderate hypertension.
  • To compare different indexing methods for LV mass (body surface area, height, height to the power of 2.7) across ethnic groups.

Main Methods:

  • A cohort of 527 hypertensive patients (Caucasians, African-Americans, Hispanics) underwent echocardiographic assessment.
  • LV mass was indexed using body surface area, height, and height to the allometric power of 2.7.
  • Relative wall thickness patterns (normal, concentric remodeling, eccentric hypertrophy, concentric hypertrophy) were analyzed.

Main Results:

  • LV mass indexed to body surface area showed no significant ethnic differences.
  • Hispanics exhibited slightly larger LV masses when indexed to height and height to the power of 2.7.
  • Concentric hypertrophy predominated across all ethnic groups when LV mass was indexed to height or height to the power of 2.7, unlike indexing to body surface area.

Conclusions:

  • LV mass indexing to height or height to the power of 2.7 is recommended for population studies due to its independent impact on hypertension.
  • Concentric hypertrophy, a response to pressure overload, is more accurately represented by height-based indexing methods than body surface area indexing.

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