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dc.contributor.authorBell, Katy J.L.
dc.contributor.authorHayen, Andrew
dc.contributor.authorMacaskill, Petra
dc.contributor.authorCraig, Jonathan C
dc.contributor.authorNeal, Bruce
dc.contributor.authorFox, Kim M
dc.contributor.authorRemme, Willem J
dc.contributor.authorAsselbergs, Folkert W
dc.contributor.authorVan Gilst, Wiek H
dc.contributor.authorMacMahon, Stephen
dc.contributor.authorRemuzzi, Giuseppe
dc.contributor.authorRuggenenti, Piero
dc.contributor.authorTeo, Koon K
dc.contributor.authorIrwig, Les
dc.date.accessioned2021-02-18T04:25:39Z
dc.date.available2021-02-18T04:25:39Z
dc.date.issued2010en_AU
dc.identifier.urihttps://hdl.handle.net/2123/24535
dc.description.abstractMost 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.en_AU
dc.language.isoenen_AU
dc.publisherPublishing House Zaslavskyen_AU
dc.relation.ispartofHypertensionen_AU
dc.rightsCreative Commons Attribution 4.0en_AU
dc.subjectblood pressureen_AU
dc.subjectangiotensin-converting enzyme inhibitorsen_AU
dc.subjecttreatment outcomeen_AU
dc.subjectmodelsen_AU
dc.subjectreproducibility of resultsen_AU
dc.subjectstrokeen_AU
dc.subjectstatisticalen_AU
dc.titleMonitoring Initial Response to Angiotensin-Converting Enzyme Inhibitor–Based Regimens: An Individual Patient Data Meta-Analysis From Randomized, Placebo-Controlled Trials.en_AU
dc.typeArticleen_AU
dc.subject.asrc1102 Cardiorespiratory Medicine and Haematologyen_AU
dc.subject.asrc1117 Public Health and Health Servicesen_AU
dc.identifier.doi10.1161/HYPERTENSIONAHA.110.152421
dc.relation.nhmrc457212
dc.relation.nhmrc402764
dc.relation.nhmrc358395
dc.relation.otherServier
dc.relation.otherHealth Research Council of New Zealand
dc.relation.otherDutch Kidney Foundation
dc.relation.otherThe Netherlands Heart Foundation
dc.relation.otherBristol-Myers Squibb
dc.relation.otherHoechst AG
dc.relation.otherAbbott GmbH & Co
dc.relation.otherMedical Research Council of Canada
dc.relation.otherMerck Frosst Canada Inc
usyd.facultySeS faculties schools::Faculty of Medicine and Health::Sydney School of Public Healthen_AU
usyd.citation.volume56en_AU
usyd.citation.issue3en_AU
usyd.citation.spage533en_AU
usyd.citation.epage539en_AU
workflow.metadata.onlyNoen_AU


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