[Experiment of self blood pressure measurement at home in haemodialysis patients in a hospital unit]

Nephrol Ther. 2011 Dec;7(7):544-8. doi: 10.1016/j.nephro.2011.03.012. Epub 2011 May 18.
[Article in French]

Abstract

We analyzed, by home blood pressure (BP) self-measurement and conventional predialytic measurement of BP, a cohort of haemodialysis patients in two hospital units between 2008 and 2010. All patients who already own a BP self-measurement device were included in this study. BP was recorded by the two methods for one week. The number of patients with a validated self-measurement device was 69 of 350 (21%) and 60 patients were included in analyses. These patients were divided into 23 (38%) permanent uncontrolled hypertensive (elevated BP at home and in hospital), 13 (22%) masked hypertensive (normal BP in hospital and elevated at home), eight (13%) white coat hypertensive (elevated BP in hospital and normal at home), and 16 (27%) permanent controlled normotensive (normal BP in hospital and at home). Patient compliance with all the self BP measurements was 95%. We did not find in this cohort the factors associated with masked hypertension in the general population such as being male, smoking and high body mass index. These results obtained in an in-hospital dialysis unit should be extrapolated with caution to all haemodialysis patients. However it is, to our knowledge, the first study on home BP self-measurement published in patients undergoing haemodialysis in France. A significant proportion of patients have masked hypertension. This should alert clinicians because of the poor cardiovascular prognosis associated with masked hypertension.

Publication types

  • English Abstract

MeSH terms

  • Blood Pressure Monitoring, Ambulatory / statistics & numerical data*
  • Cohort Studies
  • Female
  • France / epidemiology
  • Hospital Units
  • Humans
  • Male
  • Masked Hypertension / epidemiology*
  • Middle Aged
  • Patient Compliance / statistics & numerical data*
  • Prevalence
  • Renal Dialysis / statistics & numerical data*
  • Risk Factors