Number of measurement days needed for obtaining a reliable estimate of home blood pressure and hypertension status

References

• Williams B, Mancia G, Spiering W, et al. ESC/ESH guidelines for the management of arterial hypertension. Eur Heart J. 2018;39(33):100–3104.
   Web of Science ®Google Scholar
• Whelton PK, Carey RM, Aronow WS, et al. ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA guideline for the prevention, detection, evaluation, and management of high blood pressure in adults: a report of the American College of Cardiology/American Heart Association Task Force on Clinical P. J Am Coll Cardiol. 2017;71(19):e127–248.
   Web of Science ®Google Scholar
• Parati G, Stergiou GS, Asmar R, et al. European society of hypertension guidelines for blood pressure monitoring at home: a summary report of the second international consensus conference on home blood pressure monitoring. J Hypertens. 2008;26(8):1505–1526.
   PubMed Web of Science ®Google Scholar
• Kikuya M, Ohkubo T, Metoki H, et al. Day-by-day variability of blood pressure and heart rate at home as a novel predictor of prognosis: the ohasama study. Hypertension. 2008;52(6):1045–1050.
   PubMed Web of Science ®Google Scholar
• Cramer JA. Microelectronic systems for monitoring and enhancing patient compliance with medication regimens. Drugs. 1995;49(3):321–327.
   PubMed Web of Science ®Google Scholar
• McManus RJ, Little P, Stuart B, et al. Home and online management and evaluation of blood pressure (HOME BP) using a digital intervention in poorly controlled hypertension: randomised controlled trial. BMJ. 2021;372:m4858.
   PubMedGoogle Scholar
• Hodgkinson JA, Stevens R, Grant S, et al. Schedules for self-monitoring blood pressure: a systematic review. Am J Hypertens. 2019;32(4):350–364.
   PubMed Web of Science ®Google Scholar
• Stergiou GS, Palatini P, Parati G, et al. 2021 European society of hypertension practice guidelines for office and out-of-office blood pressure measurement. J Hypertens. 2021;39(7):1293–1302.
   PubMed Web of Science ®Google Scholar
• MedicineMen. EmmaHBPM [Internet]. [cited 2021. Sep 11]. Available from: https://medicinemen.eu/consument/producten/emmahbpm/.
   Google Scholar
• Stergiou GS, Giovas PP, Neofytou MS, et al. Validation of the microlife BPA100 plus device for self-home blood pressure measurement according to the international protocol. Blood Press Monit. 2006;11(3):157–160.
   PubMed Web of Science ®Google Scholar
• Central commity on research involving Human subjects C. Legal framework for medical scientific research: Your research: Is it subject to the WMO or not? [Internet]. [cited 2021. Sep 11]. Available from: https://english.ccmo.nl/investigators/legal-framework-for-medical-scientific-research/your-research-is-it-subject-to-the-wmo-or-not.
   Google Scholar
• Wilton A, De Greef A, Shennan A. Rapid assessment of blood pressure in the obstetric day unit using microlife MaM technology. Hypertens Pregnancy. 2007;26(1):31–37.
   PubMed Web of Science ®Google Scholar
• Pinheiro J, Bates D. Mixed-effects models in S and S-PLUS. New York (USA): Springer Science & Business Media; 2006.
   Google Scholar
• Pickering TG, Pieper C, Schechter CB. Ambulatory monitoring and blood pressure variability. London (GB): Science Press; 1991.
   Google Scholar
• Tong YL. The multivariate normal distribution. New York (USA): Springer Science & Business Media; 2012.
   Google Scholar
• Blood pressure lowering treatment trialists’ collaboration. Age-stratified and blood-pressure-stratified effects of blood-pressure-lowering pharmacotherapy for the prevention of cardiovascular disease and death: an individual participant-level data meta-analysis. Lancet. 2021;398(10305):1053–1064.
   PubMed Web of Science ®Google Scholar
• Viera AJ, Garrett JM. Understanding interobserver agreement: the kappa statistic. Fam Med. 2005;37(5):360–363.
   PubMed Web of Science ®Google Scholar
• McHugh ML. Interrater reliability: the kappa statistic. Biochem Med. 2012;22(3):276–282.
   PubMed Web of Science ®Google Scholar
• Bello NA, Schwartz JE, Kronish IM, et al. Number of measurements needed to obtain a reliable estimate of home blood pressure: results from the improving the detection of hypertension study. J Am Heart Assoc. 2018;7(20):e008658.
   PubMed Web of Science ®Google Scholar
• Grant S, Hodgkinson JA, Milner SL, et al. Patients' and clinicians' views on the optimum schedules for self-monitoring of blood pressure: a qualitative focus group and interview study. Br J Gen Pract. 2016;66(652):e819–e830.
   PubMed Web of Science ®Google Scholar
• Stergiou GS, Skeva II, Zourbaki AS, et al. Self-monitoring of blood pressure at home: how many measurements are needed? J Hypertens. 1998;16(6):725–731.
   PubMed Web of Science ®Google Scholar
• Stergiou GS, Nasothimiou EG, Kalogeropoulos PG, et al. The optimal home blood pressure monitoring schedule based on the Didima outcome study. J Hum Hypertens. 2010;24(3):158–164.
   PubMed Web of Science ®Google Scholar
• Stergiou GS, Parati G. The optimal schedule for self-monitoring of blood pressure by patients at home. J Hypertens. 2007;25(10):1992–1997.
   PubMed Web of Science ®Google Scholar
• Verberk WJ, Kroon AA, Kessels AGH, et al. The optimal scheme of self blood pressure measurement as determined from ambulatory blood pressure recordings. J Hypertens. 2006;24(8):1541–1548.
   PubMed Web of Science ®Google Scholar
• Imai Y, Obara T, Ohkubo T. How many times should we ask subjects to measure blood pressure at home on each occasion? J Hypertens. 2007;25(10):1987–1991.
   PubMed Web of Science ®Google Scholar
• Celis H, De Cort P, Fagard R, et al. For how many days should blood pressure be measured at home in older patients before steady levels are obtained? J Hum Hypertens. 1997;11(10):673–677.
   PubMed Web of Science ®Google Scholar
• Stergiou GS, Skeva II, Baibas NM, et al. Diagnosis of hypertension using home or ambulatory blood pressure monitoring: comparison with the conventional strategy based on repeated clinic blood pressure measurements. J Hypertens. 2000;18(12):1745–1751.
   PubMed Web of Science ®Google Scholar
• Niiranen TJ, Johansson JK, Reunanen A, et al. Optimal schedule for home blood pressure measurement based on prognostic data: the Finn-Home study. Hypertension. 2011;57(6):1081–1086.
   PubMed Web of Science ®Google Scholar
• Di Monaco S, Rabbia F, Covella M, et al. Evaluation of a short home blood pressure measurement in an outpatient population of hypertensives. Clin Exp Hypertens. 2016;38(8):673–679.
   PubMed Web of Science ®Google Scholar
• Johansson JK, Niiranen TJ, Puukka PJ, et al. Optimal schedule for home blood pressure monitoring based on a clinical approach. J Hypertens. 2010;28(2):259–264.
   PubMed Web of Science ®Google Scholar
• Asayama K, Ohkubo T, Kikuya M, et al. Prediction of stroke by home “morning” versus “evening” blood pressure values: the ohasama study. Hypertens. 2006;48(4):737–743.
   PubMed Web of Science ®Google Scholar
• Stergiou G, Parati G. Further insights into the 24-h blood pressure profile by home blood pressure monitoring: the issue of morning hypertension. J Hypertens. 2009;27(4):696–699.
   PubMed Web of Science ®Google Scholar
• Fujiwara T, Hoshide S, Nishizawa M, et al. Difference in evening home blood pressure between before dinner and at bedtime in Japanese elderly hypertensive patients. J Clin Hypertens. 2017;19(7):731–739.
   Web of Science ®Google Scholar
• Kawano Y, Pontes CS, Abe H, et al. Effects of alcohol consumption and restriction on home blood pressure in hypertensive patients: serial changes in the morning and evening records. Clin Exp Hypertens. 2002;24(1–2):33–39.
   PubMed Web of Science ®Google Scholar
• Umemoto S, Ogihara T, Matsuzaki M, et al. Effects of calcium channel blocker-based combinations on intra-individual blood pressure variability: post hoc analysis of the COPE trial. Hypertens Res. 2016;39(1):46–53.
   PubMed Web of Science ®Google Scholar
• Eguchi K, Imaizumi Y, Kaihara T, et al. Comparison of valsartan and amlodipine on ambulatory blood pressure variability in hypertensive patients. Clin Exp Hypertens. 2016;38(8):721–724.
   PubMed Web of Science ®Google Scholar
• Microlife. MAM (Microlife Average Mode) [Internet]. [cited 2021. Dec 8]. Available from: https://www.microlife.com/technologies/blood-pressure/mam-technology.
   Google Scholar