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Monitoring initial response to angiotensin-converting enzyme inhibitor-based regimens: An individual patient data meta-analysis from randomized, placebo-controlled trials

  • Katy Bell
  • , Andrew Hayen
  • , Petra MacAskill
  • , Jonathan Craig
  • , Bruce Neal
  • , Kim Fox
  • , Willem Remme
  • , Folkert Asselbergs
  • , Wiek van Gilst
  • , Stephen MacMahon
  • , Giuseppe Remuzzi
  • , Piero Ruggenenti
  • , Koon Teo
  • , Les Irwig

Research output: Contribution to journalReview articlepeer-review

29 Citations (Scopus)

Abstract

Most clinicians monitor blood pressure to estimate a patient's response to blood pressure-lowering therapy. However, the apparent change may not actually reflect the effect of the treatment, because a person's blood pressure varies considerably even without the administration of drug therapy. We estimated random background within-person variation, apparent between-person variation, and true between-person variation in blood pressure response to angiotensin-converting enzyme inhibitors after 3 months. We used meta-analytic mixed models to analyze individual patient data from 28 281 participants in 7 randomized, controlled trials from the Blood Pressure Lowering Trialists Collaboration. The apparent between-person variation in response was large, with SDs for change in systolic blood pressure/diastolic blood pressure of 15.2/8.5 mm Hg. Within-person variation was also large, with SDs for change in systolic blood pressure/diastolic blood pressure of 14.9/8.45 mm Hg. The true between-person variation in response was small, with SDs for change in systolic blood pressure/diastolic blood pressure of 2.6/1.0 mm Hg. The proportion of the apparent between-person variation in response that was attributed to true between-person variation was only 3% for systolic blood pressure and 1% for diastolic blood pressure. In conclusion, most of the apparent variation in response is not because of true variation but is a consequence of background within-person fluctuation in day-to-day blood pressure levels. Instead of monitoring an individual's blood pressure response, a better approach may be to simply assume the mean treatment effect.

Original languageEnglish
Pages (from-to)533-539
Number of pages7
JournalHypertension
Volume56
Issue number3
DOIs
Publication statusPublished - 2010
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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