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24-hour ambulatory blood pressure telemonitoring in patients at risk of atrial fibrillation: results from the TEMPLAR project

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Abstract

Hypertension is the most common risk factor for atrial fibrillation (AF). The ability to screen for potential AF during blood pressure (BP) measurement may be a valuable tool for early AF detection. This study evaluated the frequency of irregular pulse rates suggestive of AF in subjects undergoing ambulatory BP monitoring (ABPM) and compared the characteristics of patients at low risk of presumed AF vs. those at high risk. ABPM recordings were obtained in 4419 subjects aged ≥65 years visiting 304 community pharmacies, with clinically validated automated monitors equipped with an algorithm for detecting possible AF episodes during BP measurement. Subjects with <30% of the readings suggestive of AF were categorized as having a low risk of AF, and those with ≥30% of readings were classified as high risk. A total of 531 subjects (12.0%) were categorized as having a high risk of AF, with the risk increasing with advancing age. Subjects at high risk of AF had lower average systolic BP, higher average diastolic BP and pulse rate (PR), increased BP and PR variabilities, and blunted sleep-associated reductions in BP and PR. In repeated recordings, the reliability of the AF detection algorithm per se was good (kappa 0.476, p = 0.0001; intraclass correlation coefficient 0.56, p = 0.0001). Simultaneous BP measurement and screening for potential AF by ABPM in elderly people in clinical practice may help improve BP control and the detection of subjects at high risk of AF. However, a finding of presumed AF must always be confirmed by an electrocardiogram (ECG).

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References

  1. Chugh SS, Havmoeller R, Narayanan K, Singh D, Rienstra M, Benjamin EJ, et al. Worldwide epidemiology of atrial fibrillation: a Global Burden of Disease 2010 Study. Circulation. 2014;129:837–47.

    Article  Google Scholar 

  2. Hindricks G, Potpara T, Dagres N, Arbelo E, Bax JJ, Blomstrom-Lundqvist C, et al. 2020 ESC Guidelines for the diagnosis and management of atrial fibrillation developed in collaboration with the European Association for Cardio-Thoracic Surgery (EACTS): The Task Force for the diagnosis and management of atrial fibrillation of the European Society of Cardiology (ESC) Developed with the special contribution of the European Heart Rhythm Association (EHRA) of the ESC. Eur Heart J. 2021;42:373–498.

    Article  Google Scholar 

  3. Stergiou GS, Kyriakoulis KG, Stambolliu E, Destounis A, Karpettas N, Kalogeropoulos P, et al. Blood pressure measurement in atrial fibrillation: review and meta-analysis of evidence on accuracy and clinical relevance. J Hypertens. 2019;37:2430–41.

    Article  CAS  Google Scholar 

  4. Kollias A, Destounis A, Kalogeropoulos P, Kyriakoulis KG, Ntineri A, Stergiou GS. Atrial fibrillation detection during 24-hour ambulatory blood pressure monitoring: comparison with 24-hour electrocardiography. Hypertension. 2018;72:110–5.

    Article  CAS  Google Scholar 

  5. Huppertz N, Lip GYH, Lane DA. Validation of the modified Microlife blood pressure monitor in patients with paroxysmal atrial fibrillation. Clin Res Cardiol. 2020;109:802–9.

    Article  Google Scholar 

  6. Omboni S, Mancinelli A, Rizzi F, Parati G, Group TP. Telemonitoring of 24-hour blood pressure in local pharmacies and blood pressure control in the community: the templar project. Am J Hypertens. 2019;32:629–39.

    Article  Google Scholar 

  7. European Parliament and Council. Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation). http://data.europa.eu/eli/reg/2016/679/oj. Accessed 28 Oct 2021.

  8. Ragazzo F, Saladini F, Palatini P. Validation of the Microlife WatchBP O3 device for clinic, home, and ambulatory blood pressure measurement, according to the International Protocol. Blood Press Monit. 2010;15:59–62.

    Article  Google Scholar 

  9. Stergiou GS, Tzamouranis D, Nasothimiou EG, Karpettas N, Protogerou A. Are there really differences between home and daytime ambulatory blood pressure? Comparison using a novel dual-mode ambulatory and home monitor. J Hum Hypertens. 2010;24:207–12.

    Article  CAS  Google Scholar 

  10. Fania C, Lazzaretto I, Fontana U, Palatini P. Accuracy of the WatchBP O3 device for ambulatory blood pressure monitoring according to the new criteria of the ISO81060-2 2018 protocol. Blood Press Monit. 2020;25:285–90.

    Article  Google Scholar 

  11. Parati G, Stergiou G, O’Brien E, Asmar R, Beilin L, Bilo G, et al. European Society of Hypertension practice guidelines for ambulatory blood pressure monitoring. J Hypertens. 2014;32:1359–66.

    Article  CAS  Google Scholar 

  12. Omboni S, Campolo L, Panzeri E. Telehealth in chronic disease management and the role of the Internet-of-Medical-Things: the Tholomeus(R) experience. Expert Rev Med Devices. 2020;17:659–70.

    Article  CAS  Google Scholar 

  13. Omboni S, Palatini P, Parati G. Working Group on Blood Pressure Monitoring of the Italian Society of H. Standards for ambulatory blood pressure monitoring clinical reporting in daily practice: recommendations from the Italian Society of Hypertension. Blood Press Monit. 2015;20:241–4.

    Article  Google Scholar 

  14. Mena L, Pintos S, Queipo NV, Aizpurua JA, Maestre G, Sulbaran T. A reliable index for the prognostic significance of blood pressure variability. J Hypertens. 2005;23:505–11.

    Article  CAS  Google Scholar 

  15. Altman DG. Practical statistics for medical research. New York, NY: Chapman & Hall/CRC Press; 1999.

  16. Koo TK, Li MY. A guideline of selecting and reporting intraclass correlation coefficients for reliability research. J Chiropr Med. 2016;15:155–63.

    Article  Google Scholar 

  17. Schnabel RB, Sullivan LM, Levy D, Pencina MJ, Massaro JM, D’Agostino RB Sr., et al. Development of a risk score for atrial fibrillation (Framingham Heart Study): a community-based cohort study. Lancet. 2009;373:739–45.

    Article  Google Scholar 

  18. Olbers J, Jacobson E, Viberg F, Witt N, Ljungman P, Rosenqvist M, et al. Systolic blood pressure increases in patients with atrial fibrillation regaining sinus rhythm after electrical cardioversion. J Clin Hypertens. 2019;21:363–8.

    Article  Google Scholar 

  19. Wasmund SL, Li JM, Page RL, Joglar JA, Kowal RC, Smith ML, et al. Effect of atrial fibrillation and an irregular ventricular response on sympathetic nerve activity in human subjects. Circulation. 2003;107:2011–5.

    Article  Google Scholar 

  20. Segerson NM, Sharma N, Smith ML, Wasmund SL, Kowal RC, Abedin M, et al. The effects of rate and irregularity on sympathetic nerve activity in human subjects. Heart Rhythm. 2007;4:20–26.

    Article  Google Scholar 

  21. Olbers J, Gille A, Ljungman P, Rosenqvist M, Ostergren J, Witt N. High beat-to-beat blood pressure variability in atrial fibrillation compared to sinus rhythm. Blood Press. 2018;27:249–55.

    Article  Google Scholar 

  22. Parati G, Torlasco C, Pengo M, Bilo G, Ochoa JE. Blood pressure variability: its relevance for cardiovascular homeostasis and cardiovascular diseases. Hypertens Res. 2020;43:609–20.

    Article  Google Scholar 

  23. Khan AA, Lip GYH, Shantsila A. Heart rate variability in atrial fibrillation: the balance between sympathetic and parasympathetic nervous system. Eur J Clin Investig. 2019;49:e13174.

    Article  Google Scholar 

  24. Stergiou GS, Kollias A, Destounis A, Tzamouranis D. Automated blood pressure measurement in atrial fibrillation: a systematic review and meta-analysis. J Hypertens. 2012;30:2074–82.

    Article  CAS  Google Scholar 

  25. Clark CE, McDonagh STJ, McManus RJ. Accuracy of automated blood pressure measurements in the presence of atrial fibrillation: systematic review and meta-analysis. J Hum Hypertens. 2019;33:352–64.

    Article  Google Scholar 

  26. Park SH, Choi YK. Measurement reliability of automated oscillometric blood pressure monitor in the elderly with atrial fibrillation: a systematic review and meta-analysis. Blood Press Monit. 2020;25:2–12.

    Article  Google Scholar 

  27. Xie F, Xu J, Liu H, Li X, Wu Y, Su H. Different impact factors for accurate oscillometric blood pressure measurement between sinus rhythm and atrial fibrillation. J Hum Hypertens. 2021;35:785–90.

    Article  CAS  Google Scholar 

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Acknowledgements

The authors wish to thank all the pharmacists for providing patient data for the present study.

Author contributions

All named authors meet the International Committee of Medical Journal Editors (ICMJE) criteria for authorship for this manuscript, take responsibility for the integrity of the work as a whole, and have given final approval to the version to be published. SO ran the analysis and drafted the manuscript. All authors critically revised and approved the final manuscript.

Funding

This is an investigator-initiated academic study. The study coordinator, the Italian Institute of Telemedicine (a not-for-profit organization), is the promoter and main sponsor of the study and made available its resources and facilities for conducting the trial. The work was also in part supported by the Karolinska Institutet Research Foundations (Stockholm, Sweden), which provided funding to TK, and the Swedish Society of Medicine, which provided funding to KL.

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Correspondence to Stefano Omboni.

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SO is a scientific consultant of Biotechmed Ltd, provider of telemedicine services. All other authors declare no conflicts of interest regarding the publication of this paper.

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Omboni, S., Ballatore, T., Rizzi, F. et al. 24-hour ambulatory blood pressure telemonitoring in patients at risk of atrial fibrillation: results from the TEMPLAR project. Hypertens Res 45, 1486–1495 (2022). https://doi.org/10.1038/s41440-022-00932-1

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