Recommendations for Blood Pressure Measurement in Humans and Experimental Animals: Part 1: Blood Pressure Measurement in Humans: A Statement for Professionals From the Subcommittee of Professional and Public Education of the American Heart Association Council on High Blood Pressure Research
Open accessAbstract
Accurate measurement of blood pressure is essential to classify individuals, to ascertain blood pressure–related risk, and to guide management. The auscultatory technique with a trained observer and mercury sphygmomanometer continues to be the method of choice for measurement in the office, using the first and fifth phases of the Korotkoff sounds, including in pregnant women. The use of mercury is declining, and alternatives are needed. Aneroid devices are suitable, but they require frequent calibration. Hybrid devices that use electronic transducers instead of mercury have promise. The oscillometric method can be used for office measurement, but only devices independently validated according to standard protocols should be used, and individual calibration is recommended. They have the advantage of being able to take multiple measurements. Proper training of observers, positioning of the patient, and selection of cuff size are all essential. It is increasingly recognized that office measurements correlate poorly with blood pressure measured in other settings, and that they can be supplemented by self-measured readings taken with validated devices at home. There is increasing evidence that home readings predict cardiovascular events and are particularly useful for monitoring the effects of treatment. Twenty-four-hour ambulatory monitoring gives a better prediction of risk than office measurements and is useful for diagnosing white-coat hypertension. There is increasing evidence that a failure of blood pressure to fall during the night may be associated with increased risk. In obese patients and children, the use of an appropriate cuff size is of paramount importance.
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Many studies utilized 24-hour (or 48-hour) ambulatory blood pressure measurements, considered to be the most accurate method to diagnose hypertension and the best predictor of future cardiovascular risk.
“Many studies utilized 24-hour (or 48-hour) ambulatory BP measurements, considered to be the most accurate method to diagnose hypertension and the best predictor of future cardiovascular risk.154”
From Treatment of Adult Obstructive Sleep Apnea With Positive Airway Pressure: An American Academy of Sleep Medicine Systematic Review, Meta-Analysis, and GRADE Assessment (2019) · cites this paper as [154]
The Types of Monitor section (page not available) describes ambulatory monitoring as a research technique typically used for 24 hours. The Prognostic Significance section says ambulatory blood pressure predicts morbid events better than clinic blood pressure. It does not establish that 24- or 48-hour monitoring is the most accurate method for diagnosing hypertension or the best predictor among all methods; it notes that nighttime blood pressure may be the best predictor of risk. (LLM, conf=0.87)
Experimental — accuracy not yet measuredBlood pressure was recorded at each visit as the mean of two or more measurements obtained using the recommended measurement guidelines from the American Heart Association.
“Blood pressure recorded at each visit was the mean of two or more BP measurements obtained using the recommended measurement guidelines from the American Heart Association [22].”
Deviation from recommended protocols increases the likelihood of BP measurement error.
“As with best-practice measurement of BP under resting conditions, operators must follow a standardized protocol to measure exercise BP because deviation from recommended protocols will increase the likelihood of BP measurement error [49].”
From The Identification and Management of High Blood Pressure Using Exercise Blood Pressure: Current Evidence and Practical Guidance (2022) · cites this paper as [49]
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Limitations of GCTA as a solution to the missing heritability problem.
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DSM-5: a collection of psychiatrist views on the changes, controversies, and future directions
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A comparison of objective physical performance tests and future mortality in the elderly people
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Optimal Schedule for Home Blood Pressure Measurement Based on Prognostic Data: The Finn-Home Study
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Ethnic differences regarding arterial stiffness of 6‐8‐year-old black and white boys
Mokwatsi, G. G., Schutte, A. E., & Kruger, R. (2017) · Journal of Hypertension · doi:10.1097/hjh.0000000000001267 · Cited by 62 · see citing works
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“2 million appointments in 2018 were taken up solely for hypertension checks [6], despite evidence that home monitoring is a better predictor of long-term outcomes than office measurement [7].”
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Ernst, M. E., Ryan, J., Chowdhury, E. K., Margolis, K. L., Beilin, L. J., Reid, C. M., Nelson, M. R., Woods, R. L., Shah, R. C., Orchard, S. G., et al. (2021) · Journal of the American Heart Association · doi:10.1161/jaha.120.019613 · Cited by 55 · see citing works
How to check whether a blood pressure monitor has been properly validated for accuracy
Picone, D. S., Padwal, R., Campbell, N. R. C., Boutouyrie, P., Brady, T. M., Olsen, M. H., Delles, C., Lombardi, C., Mahmud, A., Meng, Y., et al. (2020) · The Journal of Clinical Hypertension · doi:10.1111/jch.14065 · Cited by 52 · see citing works
Mindfulness‐Based Stress Reduction in Women with Overweight or Obesity: A Randomized Clinical Trial
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Barriers to accurate blood pressure measurement in the medical office
Hwang, K. O., Aigbe, A., Ju, H.-H., Jackson, V. C., & Sedlock, E. W. (2018) · Journal of Primary Care & Community Health · doi:10.1177/2150132718816929 · Cited by 53 · see citing works
Dorresteijn, J. A. N., Schrover, I. M., Visseren, F. L. J., Scheffer, P. G., Oey, P. L., Danser, A. H. (., & Spiering, W. (2013) · Journal of Hypertension · doi:10.1097/hjh.0b013e32835b6c02 · Cited by 50 · see citing works
Carter, B. L., Levy, B., Gryzlak, B., Xu, Y., Chrischilles, E., Dawson, J., Vander Weg, M., Christensen, A., James, P., & Polgreen, L. (2018) · Circulation: Cardiovascular Quality and Outcomes · doi:10.1161/circoutcomes.117.004188 · Cited by 46 · see citing works
Taylor, K. S., Heneghan, C. J., Stevens, R. J., Adams, E. C., Nunan, D., & Ward, A. (2015) · PLOS ONE · doi:10.1371/journal.pone.0126375 · Cited by 48 · see citing works
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Gelecek, N., İlçin, N., Subaşi, S. S., Acar, S., Demir, N., & Örmen, M. (2012) · Health Care for Women International · doi:10.1080/07399332.2011.645960 · Cited by 39 · see citing works
Fuchs, S. C., Ferreira-da-silva, A. L., Moreira, L. B., Neyeloff, J. L., Fuchs, F. C., Gus, M., Wiehe, M., & Fuchs, F. D. (2012) · Journal of Hypertension · doi:10.1097/hjh.0b013e32834e5a4f · Cited by 36 · see citing works
Nisenbaum, M. G., Melo, N. R. D., Giribela, C. R. G., Morais, T. L. D., Guerra, G. M., de Angelis, K., Mostarda, C., Baracat, E. C., & Consolim-Colombo, F. M. (2014) · European Journal of Obstetrics & Gynecology and Reproductive Biology · doi:10.1016/j.ejogrb.2014.01.006 · Cited by 37 · see citing works
Cigarette smoking worsens systemic inflammation in persons with metabolic syndrome
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Los, E., Quezada, E., Chen, Z., Lapidus, J., & Silberbach, M. (2016) · Hypertension · doi:10.1161/hypertensionaha.115.07065 · Cited by 30 · see citing works
Sakhuja, S., Jaeger, B. C., Akinyelure, O. P., Bress, A. P., Shimbo, D., Schwartz, J. E., Hardy, S. T., Howard, G., Drawz, P., & Muntner, P. (2022) · The Journal of Clinical Hypertension · doi:10.1111/jch.14418 · Cited by 28 · see citing works
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Measurements of arterial pressure and flow in vivo
Sharman, J. E., Segers, P., & Chirinos, J. A. (2022) · Textbook of Arterial Stiffness and Pulsatile Hemodynamics in Health and Disease · doi:10.1016/b978-0-323-91391-1.00002-9 · Cited by 3 · see citing works
- Authors
- Pickering, T. G., Hall, J. E., Appel, L. J., Falkner, B. E., Graves, J., Hill, M. N., Jones, D. W., Kurtz, T., Sheps, S. G., & Roccella, E. J.
- ORCID
- Venue
- Hypertension
- Published
- 2005-01
- Volume
- 45
- Issue
- 1
- Pages
- 142-161
- ISSN
- 0194-911X (ISSN-L)
- 1524-4563
- OpenAlex
- W2160801689
- Semantic Scholar
- cc608ac67b0966145e814f721be04e1b0f95eeb3
- Cited by
- 2,051
- References
- 226
- Citations by year
- 2026: 34 · 2025: 43 · 2024: 48 · 2023: 61 · 2022: 79 · 2021: 77 · 2020: 101 · 2019: 85 · 2018: 113 · 2017: 144 · 2016: 166 · 2015: 161 · 2014: 104 · 2013: 114 · 2012: 133
- FWCI
- 39.42
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Hypertension (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Blood Pressure and Hypertension Studies
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Disease Prevention
- Keywords
- blood pressure measurement, auscultatory method, Korotkoff sounds, mercury sphygmomanometer, aneroid sphygmomanometer, oscillometric method, home blood pressure monitoring, ambulatory blood pressure monitoring, white coat hypertension, cuff size, observer training, pregnant women, laboratory animals, hypertension risk prediction
- MeSH terms
- Adult, Aged, Animals, Auscultation, Automation, Blood Pressure Determination, Calibration, Cardiovascular Diseases, Child, Circadian Rhythm, Clinical Competence, Diagnostic Errors, Equipment Design, Female, Humans, Hypertension, Male, Middle Aged, Obesity, Organ Specificity, Oscillometry, Posture, Predictive Value of Tests, Pregnancy, Self Care, Stress, Psychological, Blood Pressure Monitors, Blood Pressure Monitoring, Ambulatory
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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