1,465
Views
3
CrossRef citations to date
0
Altmetric
Article

The Precision HYpertenSIon Care (PHYSIC) study: a double-blind, randomized, repeated cross-over study

, , , ORCID Icon, , , & show all
Pages 51-58 | Received 17 Jun 2018, Accepted 05 Jul 2018, Published online: 28 Sep 2018

References

  • Lim SS, Vos T, Flaxman AD, Danaei G, Shibuya K, Adair-Rohani H. A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet. 2012;380:2224–60.
  • Hodgson TA, Cai L. Medical care expenditures for hypertension, its complications, and its comorbidities. Med Care. 2001;39:599–615.
  • Rahimi K, MacMahon S. Blood pressure management in the 21st century: maximizing gains and minimizing waste. Circulation. 2013;128:2283–5.
  • Neal B, MacMahon S, Chapman N. Effects of ACE inhibitors, calcium antagonists, and other blood-pressure-lowering drugs: results of prospectively designed overviews of randomised trials. Blood Pressure Lowering Treatment Trialists' Collaboration. Lancet. 2000;356:1955–64.
  • World Health Organization. Adherence to long-term therapies: evidence for action. Geneva, Switzerland: World Health Organization; 2003.
  • Bell KJ, Hayen A, Macaskill P, Craig JC, Neal BC, Irwig L. Mixed models showed no need for initial response monitoring after starting antihypertensive therapy. J Clin Epidemiol. 2009;62:650–9.
  • Senn S. Mastering variation: variance components and personalised medicine. Stat Med. 2016;35:966–77.
  • Bell KJ, Hayen A, Macaskill P, Craig JC, Neal BC, Fox KM, et al. Monitoring initial response to Angiotensin-converting enzyme inhibitor-based regimens: an individual patient data meta-analysis from randomized, placebo-controlled trials. Hypertens. 2010;56:533–9.
  • Dickerson JE, Hingorani AD, Ashby MJ, Palmer CR, Brown MJ. Optimisation of antihypertensive treatment by crossover rotation of four major classes. Lancet. 1999;353:2008–13.
  • Laverman GD, de Zeeuw D, Navis G. Between-patient differences in the renal response to renin-angiotensin system intervention: clue to optimising renoprotective therapy? J Renin Angiotensin Aldosterone Syst. 2002;3:205–13.
  • Senn S, Rolfe K, Julious SA. Investigating variability in patient response to treatment-a case study from a replicate cross-over study. Stat Methods Med Res. 2011;20:657–66.
  • Senn S. Individual therapy: new dawn or false dawn. Ther Innov Regul Sci. 2001;35:1479–94.
  • James PA, Oparil S, Carter BL, Cushman WC, Dennison-Himmelfarb C, Handler J, et al. 2014 evidence-based guideline for the management of high blood pressure in adults: report from the panel members appointed to the Eighth Joint National Committee (JNC 8). JAMA. 2014;311:507–20.
  • Mancia G, Fagard R, Narkiewicz K, Redon J, Zanchetti A, Böhm M, et al. 2013 ESH/ESC guidelines for the management of arterial hypertension: the Task Force for the Management of Arterial Hypertension of the European Society of Hypertension (ESH) and of the European Society of Cardiology (ESC). Eur Heart J. 2013;34:2159–219.
  • Committee on the Review of Omics-Based Tests for Predicting Patient Outcomes in Clinical Trials; Board on Health Care Services; Board on Health Sciences Policy; Institute of Medicine. Evolution of translational omics: lessons learned and the path forward. Washington, DC: National Academies Press (US); 2012.
  • Bates D, Mächler M, Bolker B, Walker S. Fitting linear mixed-effects models using lme4. J Stat Soft. 2015;67:48.
  • Halekoh U, Højsgaard S. A Kenward-Roger approximation and parametric bootstrap methods for tests in linear mixed models – the R Package pbkrtest. J Stat Soft. 2014;59:1–30.
  • Scuffham PA, Nikles J, Mitchell GK, Yelland MJ, Vine N, Poulos CJ, et al. Using N-of-1 trials to improve patient management and save costs. J Gen Intern Med. 2010;25:906–13.
  • Araujo A, Julious S, Senn S. Understanding variation in sets of N-of-1 trials. PLoS One. 2016;11:e0167167