Monitoring Initial Response to Angiotensin-Converting Enzyme Inhibitor–Based Regimens

Author:

Bell Katy J.L.1,Hayen Andrew1,Macaskill Petra1,Craig Jonathan C.1,Neal Bruce C.1,Fox Kim M.1,Remme Willem J.1,Asselbergs Folkert W.1,van Gilst Wiek H.1,MacMahon Stephen1,Remuzzi Giuseppe1,Ruggenenti Piero1,Teo Koon K.1,Irwig Les1

Affiliation:

1. From the Screening and Test Evaluation Program (K.J.L.B., A.H., P.M., J.C.C., L.I.), School of Public Health, University of Sydney, Sydney, New South Wales, Australia; Department of Nephrology (J.C.C.), Children’s Hospital at Westmead, Westmead, New South Wales, Australia; George Institute for International Research (B.C.N., S.M.), Royal Prince Alfred Hospital, University of Sydney, Sydney, New South Wales, Australia; Cardiology Department (K.M.F.), Royal Brompton Hospital, London, United Kingdom;...

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.

Publisher

Ovid Technologies (Wolters Kluwer Health)

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