BMI, spKt/V, and SBP but not DBP are related to LVH in Chinese maintenance hemodialysis patients

Ren Fail. 2011;33(3):269-75. doi: 10.3109/0886022X.2011.559299.

Abstract

Objective: Left ventricular hypertrophy (LVH) is the strongest predictor of cardiovascular mortality, the leading cause of death in hemodialysis (HD) patients. This study aims to identify the potential risk factors for LVH in HD patients.

Methods: Exactly, 164 patients (84 men and 80 women) who had been on HD treatment for at least 6 months were enrolled. Clinical data were collected. Anthropometric measurements, biochemical analyses, and echocardiography were performed. The risk factors were determined by multivariate linear and logistic regression.

Results: In all the patients, the prevalence of LVH was 66.5%. The patients with LVH had higher body mass index (BMI), systolic blood pressure (SBP), diastolic blood pressure, and lower single-pool kt/V (spKt/V) compared with those without LVH. Multivariate linear regression showed that BMI (β = 7.608, p = 0.014), SBP (β = 9.462, p = 0.001), and spKt/V (β = -14.226, p = 0.024) were independently correlated with left ventricular mass index (LVMI). Multivariate logistic regression showed the same results that BMI (β = 7.193, p = 0.032), SBP (β = 9.382, p = 0.02), and spKt/V (β = -12.535, p = 0.001) were independently correlated with LVH.

Conclusions: In Chinese maintenance hemodialysis patients, BMI, single-pool Kt/V (spKt/V), and SBP were independently correlated with left ventricular mass index and were independent risk factors for LVH.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Asian People
  • Blood Pressure
  • Body Mass Index
  • China / epidemiology
  • Cross-Sectional Studies
  • Echocardiography
  • Female
  • Humans
  • Hypertrophy, Left Ventricular / complications
  • Hypertrophy, Left Ventricular / diagnostic imaging
  • Hypertrophy, Left Ventricular / epidemiology*
  • Kidney Failure, Chronic / complications*
  • Linear Models
  • Logistic Models
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Prevalence
  • Renal Dialysis
  • Risk Factors
  • Smoking / epidemiology