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The accuracy of 8-hour ambulatory blood pressure monitoring, adjusted to seasons

Abstract

Ambulatory blood pressure monitoring (ABPM) is considered the most reliable and accurate measurement of blood pressure (BP). However, the use of ABPM has some limitations, which make it difficult to complete for the entire 24 h. We aimed to establish in which part of the day BP measurements are in highest correlation with full ABPM (over 24 h) results. We performed a retrospective cross-sectional study which included 3113 full ABPM. Each ABPM was divided into 6- and 8-hour segments, and mean BP in each time segment was calculated. Linear mix models for describing BP by BP in each time segment were performed. A total of 3113 ABPM measurements carried out on 2676 patients (mean age 57.78 ± 14.74) were included in the study. Linear mix models demonstrated significant association between mean systolic blood pressure (SBP) and diastolic blood pressure (DBP) in full ABPM, and SBP and DBP between 2–10 PM, respectively (SBP: β = 0.902, p < 0.001; DBP: β = 0.839, p < 0.001), adjusted for gender, age, season, and relevant interactions. This section had higher coefficient correlations than other sections which were examined. The study findings indicate high correlation between BP between 2–10 PM, and BP in full-ABPM, by each season. This time segment may be ideal for short-term BP monitoring as an initial screening test and for patients who are unable to complete full ABPM. However, since this time segment does not include nighttime hours, there is a risk of underdiagnosis of non-dipper.

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Fig. 1: Bland Altman plot for differences in full ABPM and 2–10PM per participant.

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Data generated or analyzed during this study can be available from the corresponding author on reasonable request.

References

  1. Whelton PK, Carey RM, Aronow WS, Ovbiagele B, Casey DE, Smith SC, et al. 2017 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 Practice Guidelines; 2017. https://doi.org/10.1161/HYP.0000000000000065/-/DC1

  2. 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.

    Article  PubMed  Google Scholar 

  3. Pickering TG, Shimbo D, Haas D. Ambulatory blood-pressure monitoring. N. Engl J Med. 2006;354:2368–74.

    Article  CAS  PubMed  Google Scholar 

  4. Wolak T, Wilk L, Paran E, Wolak A, Gutmacher B, Shleyfer E, et al. Is it possible to shorten ambulatory blood pressure monitoring? J Clin Hypertens. 2013;15:570–4.

    Article  Google Scholar 

  5. Ernst ME, Weber CA, Dawson JD, Connor MAO, Lin W, Carter BL, et al. How well does a shortened time interval characterize results of a full ambulatory blood pressure monitoring session? J Clin Hypertens. 2008;10:431–5.

    Article  Google Scholar 

  6. Ernst ME, Sezate GS, Lin W, Weber CA, Dawson JD, Carter BL, et al. Indication-specific 6-h systolic blood pressure thresholds can approximate 24-h determination of blood pressure control. J Hum Hypertens. 2011;25:250–5.

    Article  CAS  PubMed  Google Scholar 

  7. Muntner P, Shimbo D, Carey RM, Charleston JB, Gaillard T, Misra S, et al. Measurement of blood pressure in humans: a scientific statement from the american heart association. 2019. https://doi.org/10.1161/HYP.0000000000000087

  8. Modesti PA. Season, temperature and blood pressure: a complex interaction. Eur J Intern Med. 2013;24:604–7.

    Article  PubMed  Google Scholar 

  9. Stergiou GS, Myrsilidi A, Kollias A, Destounis A, Roussias L, Kalogeropoulos P. Seasonal variation in meteorological parameters and office, ambulatory and home blood pressure: predicting factors and clinical implications. Hypertens Res. 2015;38:869–75.

    Article  PubMed  Google Scholar 

  10. Kristal-Boneh E, Harari G, Green MS, Ribak J. Body mass index is associated with differential seasonal change in ambulatory blood pressure levels. Am J Hypertens. 1996;9:1179–85.

    Article  CAS  PubMed  Google Scholar 

  11. Charach G, Rabinovich PD, Weintraub M. Seasonal changes in blood pressure and frequency of related complications in elderly Israeli patients with essential hypertension. Gerontology. 2004;50:315–21.

    Article  PubMed  Google Scholar 

  12. Alpert P, Osetinsky I, Ziv B, Shafir H. A new seasons definition based on classified daily synoptic systems: an example for the eastern Mediterranean. Int J Climatol. 2004;24:1013–21.

    Article  Google Scholar 

  13. Sheps SG, Bailey KR, Zachariah PK. Short-term (six hour), ambulatory blood pressure monitoring. J Hum Hypertens. 1994;8:873–8.

    CAS  PubMed  Google Scholar 

  14. Chanudet X, Chau NP, Larroque P. Short-term representatives of daytime and night-time ambulatory blood pressures. J Hypertens. 1992;10:595–600.

    Article  CAS  PubMed  Google Scholar 

  15. Wei Q, Sun J, Huang J, Zhou HY, Ding YM, Tao YC, et al. Prevalence of hypertension and associated risk factors in Dehui City of Jilin Province in China. J Hum Hypertens. 2015;29:64–8.

    Article  CAS  PubMed  Google Scholar 

  16. Ofili MI, Ncama BP, Sartorius B. Hypertension in rural communities in Delta State, Nigeria: prevalence, risk factors and barriers to health care. Afr J Prim Heal Care Fam Med. 2015;7:1–7.

    Google Scholar 

  17. Unnikrishnan S, Awadhiya O, Lahiri A, Pakhare AP, Joshi A, Joshi R. Accuracy of short-term ambulatory blood pressure measurements for the diagnosis of hypertension. Cureus. 2021;13:1–9.

    Google Scholar 

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SZD—writing the protocol and report, conducting the search, screening potentially eligible studies, extracting and analysing data, interpreting results. MF—was responsible for designing the review protocol, analysing data and interpreting results. OB—She contributed to writing the report, extracting and analysing data, interpreting results. AB—contributed to data extraction and provided feedback on the report. TW—responsible for designing the review protocol, writing the protocol and report interpreting results.

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Correspondence to Talya Wolak.

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Zilka Darbiani, S., Friger, M., Barrett, O. et al. The accuracy of 8-hour ambulatory blood pressure monitoring, adjusted to seasons. J Hum Hypertens 37, 141–149 (2023). https://doi.org/10.1038/s41371-022-00790-x

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