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The impact of unrecorded readings on the precision and diagnostic performance of home blood pressure monitoring: a statistical study

Abstract

Hypertension is a major cardiovascular risk factor. To address the disease adequately, most clinicians rely on home blood pressure monitoring (HBPM). However, the impact of unrecorded BP values on the precision and diagnostic performance of BP schedules is unknown. We obtained 103 HBP patients schedules from a previous study. Then, readings were randomly removed from each schedule in order to create new incomplete schedules using a resampling technique. We obtained 10,000 new incomplete schedules. For each number of randomly removed readings, the percentages of incomplete schedules outside a systolic/diastolic blood pressure (SBP/DBP) range of 5/3 mmHg were calculated from the same complete patient’s schedule. The sensitivity and specificity of incomplete HBPM schedules regarding BP control were also assessed. One hundred three HBPM schedules were analyzed. Mean patients’ age was 67.9 ± 9.9 years. In non-diabetic patients, the mean BP of complete schedules’ means was 131.9 ± 12.4/75.5 ± 10.5. In diabetic patients, the mean BP of complete schedules’ means was 135.5 ± 14.0/73.4 ± 8.2 mmHg. When schedules were composed of 14 and 21 random measures, differences over 5 mmHg were seen in 2.6% and 0.1% of non-diabetic patients’ schedule and 3.7% and 0.1% of diabetic patients’ schedule, respectively. At 21 measurements, sensitivity and specificity were approximately 95% and 98% in non-diabetic patients and 90% and 99% in non-diabetic patients, respectively. HBPM precision and diagnostic performance improve rapidly with accumulation of readings. Incomplete schedules composed of 21 readings can provide an almost perfect diagnostic tool compared with the complete schedule reference.

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References

  1. Padwal RS, Bienek A, McAlister FA, Campbell NR. Outcomes research task force of the Canadian Hypertension Education Program. Epidemiology of Hypertension in Canada: an update. Can J Cardiol. 2016;32:687–94.

    Article  PubMed  Google Scholar 

  2. Kannel WB. Blood pressure as a cardiovascular risk factor: prevention and treatment. J Am Med Assoc. 1996;275:1571–6.

    Article  CAS  Google Scholar 

  3. Joffres M, Falaschetti E, Gillespie C, Robitaille C, Loustalot F, Poulter N, et al. Hypertension prevalence, awareness, treatment and control in national surveys from England, the USA and Canada, and correlation with stroke and ischaemic heart disease mortality: a cross-sectional study. Br Med J Open. 2013;3:e003423.

    Google Scholar 

  4. Ettehad D, Emdin CA, Kiran A, Anderson SG, Callender T, Emberson J, et al. Blood pressure lowering for prevention of cardiovascular disease and death: a systematic review and meta-analysis. Lancet. 2015;387:957–67.

    Article  PubMed  Google Scholar 

  5. Cloutier L, Daskalopoulou SS, Padwal RS, Lamarre-Cliche M, Bolli P, McLean D, et al. A new algorithm for the diagnosis of hypertension in Canada. Can J Cardiol. 2015;31:620–30.

    Article  PubMed  Google Scholar 

  6. Leung AA, Nerenberg K, Daskalopoulou SS, McBrien K, Zarnke KB, Dasgupta K, et al. Hypertension Canada’s 2016 Canadian Hypertension Education Program Guidelines for blood pressure measurement, diagnosis, assessment of risk, prevention, and treatment of hypertension. Can J Cardiol. 2016;32:569–88.

    Article  PubMed  Google Scholar 

  7. Niiranen TJ, Hänninen M-R, Johansson J, Reunanen A, Jula AM. Home-measured blood pressure is a stronger predictor of cardiovascular risk than office blood pressure: the Finn-Home study. Hypertension. 2010;55:1346–51.

    Article  CAS  PubMed  Google Scholar 

  8. Ohkubo T, Imai Y, Tsuji I, Nagai K, Kato J, Kikuchi N, et al. Home blood pressure measurement has a stronger predictive power for mortality than does screening blood pressure measurement: a population-based observation in Ohasama, Japan. J Hypertens. 1998;16:971–5.

    Article  CAS  PubMed  Google Scholar 

  9. Stergiou GS, Baibas NM, Kalogeropoulos PG. Cardiovascular risk prediction based on home blood pressure measurement: the Didima study. J Hypertens. 2007;25:1590–6.

    Article  CAS  PubMed  Google Scholar 

  10. Bobrie G, Chatellier G, Genes N, Clerson P, Vaur L, Vaisse B, et al. Cardiovascular prognosis of “masked hypertension” detected by blood pressure self-measurement in elderly treated hypertensive patients. J Am Med Assoc. 2004;291:1342–9.

    Article  CAS  Google Scholar 

  11. Sega R, Facchetti R, Bombelli M, Cesana G, Corrao G, Grassi G, et al. Prognostic value of ambulatory and home blood pressures compared with office blood pressure in the general population: follow-up results from the Pressioni Arteriose Monitorate e Loro Associazioni (PAMELA) study. Circulation. 2005;111:1777–83.

    Article  PubMed  Google Scholar 

  12. Ohkubo T, Asayama K, Kikuya M, Metoki H, Hoshi H, Hashimoto J, et al. How many times should blood pressure be measured at home for better prediction of stroke risk? Ten-year follow-up results from the Ohasama study. J Hypertens. 2004;22:1099–104.

    Article  CAS  PubMed  Google Scholar 

  13. Bancej CM, Campbell N, McKay DW, Nichol M, Walker RL, Kaczorowski J. Home blood pressure monitoring among Canadian adults with hypertension: results from the 2009 Survey on Living with Chronic Diseases in Canada. Can J Cardiol. 2010;26:e152–7.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Nordmann A, Frach B, Walker T, Martina B, Battegay E. Reliability of patients measuring blood pressure at home: prospective observational study. Br Med J. 1999;319:1172–1172.

    Article  CAS  Google Scholar 

  15. O’Brien E, Parati G, Stergiou G, Asmar R, Beilin L, Bilo G, et al. European Society of Hypertension position paper on ambulatory blood pressure monitoring. J Hypertens. 2013;31:1731–68.

    Article  PubMed  Google Scholar 

  16. Chatellier G, Day M, Bobrie G, Menard J. Feasibility study of N-of-1 trials with blood pressure self-monitoring in hypertension. Hypertension. 1995;25:294–301.

    Article  CAS  PubMed  Google Scholar 

  17. Stergiou GS, Nasothimiou EG, Kalogeropoulos PG, Pantazis N, Baibas NM. The optimal home blood pressure monitoring schedule based on the Didima outcome study. J Hum Hypertens. 2010;24:158–64.

    Article  CAS  PubMed  Google Scholar 

  18. Niiranen TJ, Asayama K, Thijs L, Johansson JK, Hara A, Hozawa A, et al. Optimal number of days for home blood pressure measurement. Am J Hypertens. 2015;28:595–603.

    Article  PubMed  Google Scholar 

  19. Parati G, Stergiou GS, Asmar R, Bilo G, de Leeuw P, Imai Y, et al. European Society of Hypertension practice guidelines for home blood pressure monitoring. J Hum Hypertens. 2010;24:779–85.

    Article  CAS  PubMed  Google Scholar 

  20. Imai Y, Kario K, Shimada K, Kawano Y, Hasebe N, Matsuura H, et al. The Japanese Society of Hypertension Guidelines for self-monitoring of blood pressure at home (second edition). Hypertens Res. 2012;35:777–95.

    Article  PubMed  Google Scholar 

  21. National Institute of Health and Clinical Excellence. Hypertension: clinical management of primary hypertension in adults. In. London: NICE: NICE clinical guideline 127, 2011.

  22. Mengden T, Hernandez Medina RM, Beltran B, Alvarez E, Kraft K, Vetter H. Reliability of reporting self-measured blood pressure values by hypertensive patients. Am J Hypertens. 1998;11:1413–7.

    Article  CAS  PubMed  Google Scholar 

  23. Milot JP, Birnbaum L, Larochelle P, Wistaff R, Laskine M, Van Nguyen P, et al. Unreliability of home blood pressure measurement and the effect of a patient-oriented intervention. Can J Cardiol. 2015;31:658–63.

    Article  PubMed  Google Scholar 

  24. Myers MG, Stergiou GS. Reporting bias: Achilles’ heel of home blood pressure monitoring. J Am Soc Hypertens. 2014;8:350–7.

    Article  PubMed  Google Scholar 

  25. Kallioinen N, Hill A, Horswill MS, Ward HE, Watson MO. Sources of inaccuracy in the measurement of adult patients’ resting blood pressure in clinical settings: a systematic review. J Hypertens. 2017;35:421–41.

    Article  CAS  PubMed  Google Scholar 

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Acknowledgements

This study would not have been possible without the precious statistical work of Mr. Louis Coupal, biostatistician at the Centre Hospitalier de l’Université de Montréal (CHUM). We are indebted to Hélène L’Archevêque and Martine Gauthier for their precious collaboration to this project. FR holds a scholarship from la Société québécoise d’hypertension artérielle.

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Correspondence to Maxime Lamarre-Cliche.

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Rinfret, F., Ouattara, F., Cloutier, L. et al. The impact of unrecorded readings on the precision and diagnostic performance of home blood pressure monitoring: a statistical study. J Hum Hypertens 32, 197–202 (2018). https://doi.org/10.1038/s41371-018-0040-7

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