| Literature DB >> 20625081 |
Katy J L Bell1, Andrew Hayen, Petra Macaskill, Jonathan C Craig, Bruce C Neal, Kim M Fox, Willem J Remme, Folkert W Asselbergs, Wiek H van Gilst, Stephen Macmahon, Giuseppe Remuzzi, Piero Ruggenenti, Koon K Teo, Les Irwig.
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.Entities:
Mesh:
Substances:
Year: 2010 PMID: 20625081 DOI: 10.1161/HYPERTENSIONAHA.110.152421
Source DB: PubMed Journal: Hypertension ISSN: 0194-911X Impact factor: 10.190