The DOI matches its Crossref record; 33 of the 34 references it cites were found in a registry or an index.
Diagnostic Thresholds for Ambulatory Blood Pressure Monitoring Based on 10-Year Cardiovascular Risk
Open accessAbstract
Background— Current diagnostic thresholds for ambulatory blood pressure (ABP) mainly rely on statistical parameters derived from reference populations. We determined an outcome-driven reference frame for ABP measurement. Methods and Results— We performed 24-hour ABP monitoring in 5682 participants (mean age 59.0 years; 43.3% women) enrolled in prospective population studies in Copenhagen, Denmark; Noorderkempen, Belgium; Ohasama, Japan; and Uppsala, Sweden. In multivariate analyses, we determined ABP thresholds, which yielded 10-year cardiovascular risks similar to those associated with optimal (120/80 mm Hg), normal (130/85 mm Hg), and high (140/90 mm Hg) blood pressure on office measurement. Over 9.7 years (median), 814 cardiovascular end points occurred, including 377 strokes and 435 cardiac events. Systolic/diastolic thresholds for optimal ABP were 116.8/74.2 mm Hg for 24 hours, 121.6/78.9 mm Hg for daytime, and 100.9/65.3 mm Hg for nighttime. Corresponding thresholds for normal ABP were 123.9/76.8, 129.9/82.6, and 110.2/68.1 mm Hg, respectively, and those for ambulatory hypertension were 131.0/79.4, 138.2/86.4, and 119.5/70.8 mm Hg. After rounding, approximate thresholds for optimal ABP amounted to 115/75 mm Hg for 24 hours, 120/80 mm Hg for daytime, and 100/65 mm Hg for nighttime. Rounded thresholds for normal ABP were 125/75, 130/85, and 110/70 mm Hg, respectively, and those for ambulatory hypertension were 130/80, 140/85, and 120/70 mm Hg. Conclusions— Population-based outcome-driven thresholds for optimal and normal ABP are lower than those currently proposed by hypertension guidelines.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Conversely, in untreated individuals aged older than 80 years, a significant increase in cardiovascular risk was observed for systolic HBP at least 152.4 mmHg and no risk increase was associated with increased diastolic HBP (the risk level was highest for lowest DBP levels) [142]”
In the citing paper
“In the very elderly, the BP-related risk increase may begin at higher HBP levels but more evidence is needed”
Citations
Cites
Chobanian, A. V. (2003) · JAMA · doi:10.1001/jama.289.19.2560 · Cited by 25,386
Chobanian, A. V., Bakris, G. L., Black, H. R., Cushman, W. C., Green, L. A., Izzo, J. L., Jones, D. W., Materson, B. J., Oparil, S., Wright, J. T., et al. (2003) · Hypertension · doi:10.1161/01.hyp.0000107251.49515.c2 · Cited by 13,271
(1997) · Archives of Internal Medicine · doi:10.1001/archinte.1997.00440420033005 · Cited by 3,777
Guidelines Committee (2003) · Journal of Hypertension · doi:10.1097/00004872-200306000-00001 · Cited by 3,015
Report of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus
The Expert Committee on the Diagnosis and Classification of Diabetes Mellitus (2003) · Diabetes Care · doi:10.2337/diacare.26.2007.s5 · Cited by 2,689
Mancia, G., Rosei, E. A., Cífková, R., DeBacker, G., Erdine, S. E., Fagard, R., Farsang, C., Heagerty, A. M., Kawecka-Jaszcs, K., Kiowski, W., et al. (2003) · Lirias (KU Leuven) · doi:10.1097/01.hjh.0000059051.65882.32 · Cited by 2,601
Self-citationImpact of High-Normal Blood Pressure on the Risk of Cardiovascular Disease
Vasan, R. S., Larson, M. G., Leip, E. P., Evans, J. C., O’Donnell, C. J., Kannel, W. B., & Levy, D. A. (2001) · New England Journal of Medicine · doi:10.1056/nejmoa003417 · Cited by 2,098
Ambulatory blood pressure. An independent predictor of prognosis in essential hypertension.
Verdecchia, P., Porcellati, C., Schillaci, G., Borgioni, C., Ciucci, A., Battistelli, M., Guerrieri, M., Gatteschi, C., Zampi, I., Santucci, A., et al. (1994) · Hypertension · doi:10.1161/01.hyp.24.6.793 · Cited by 1,671
O’Brien, E., Asmar, R. G., Beilin, L. J., Imai, Y., Mancia, G., Mengden, T., Myers, M. G., Padfield, P. L., Palatini, P., Parati, G., et al. (2005) · Journal of Hypertension · doi:10.1097/01.hjh.0000163132.84890.c4 · Cited by 720
Self-citation
Flagged first, then by citations
1 of the 34 references couldn’t be matched to a known paper.
Research works printed but not linked: 6
- 10.1161/hyp.30.1.1 · DOI
- 10.1161/hyp.34.4.818 · DOI
- Hesterberg T Moore DS Monaghan S Clipson A Epstein R. Bootstrap methods and permutation tests. In: Introduction to the Practice of Statistics. New York NY: WH Freeman & Co; 2005: 14-1–14-70.
- 10.1161/circ.98.18.1892 · DOI
- 10.1161/circ.102.10.1139 · DOI
- 10.1161/hyp.32.2.255 · DOI
Cited by
Sorted by citations
Items 301–314 of 314
Essop, M. R., & Naidoo, D. P. (2009) · Elsevier eBooks · doi:10.1016/b978-1-4160-4470-3.50041-0
Hypertension and Ambulatory Blood Pressure Monitoring
Jones, D. P. (2010)
(2007) · Kidney International · doi:10.1038/sj.ki.5002431
(2009) · Hipertensión y Riesgo Vascular · doi:10.1016/s1889-1837(09)71183-3
Ambulatory Blood Pressure Monitoring in Clinical Hypertension Management
Malha, L. P., & White, W. B. (2023) · Elsevier eBooks · doi:10.1016/b978-0-323-88369-6.00011-6
Elzein, H. O. (2024) · The Annals of Clinical and Analytical Medicine · doi:10.4328/acam.22090
Struksnes, K. F., Stidsen, J. V., Nielsen, J. S., Olsen, M. H., & Olesen, T. B. (2025) · Blood Pressure Monitoring · doi:10.1097/mbp.0000000000000764
Factors Associated with the Failure to Achieve Nocturnal Blood Pressure Control
Maruhashi, T., Kinoshita, Y., Ozono, R., Nakamaru, M., Ninomiya, M., Oiwa, J., Kawagoe, T., Yoshida, O., Matsumoto, T., Fukunaga, Y., et al. (2025) · American Journal of Hypertension · doi:10.1093/ajh/hpaf225
Meta-RL-Driven hemodynamic control in a mock circulatory loop for precision cardiovascular medicine
Li, H., & Wang, Y. (2025) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2025.109309
Su, D., Yang, H., Chen, Z., Kong, Y., Na, X., Lin, Q., Zhao, A., Zheng, Y., Ma, Y., Li, X., et al. (2024) · Figshare · doi:10.6084/m9.figshare.25150507
Song, W.-W., Liu, Y., Liu, Q.-D., Xu, L.-H., Gao, H., & Liu, Y.-Z. (2026) · BMC Cardiovascular Disorders · doi:10.1186/s12872-026-05720-0
Maruhashi, T., Kinoshita, Y., Ozono, R., Nakamaru, M., Ninomiya, M., Oiwa, J., Kawagoe, T., Yoshida, O., Matsumoto, T., Fukunaga, Y., et al. (2026) · American Journal of Hypertension · doi:10.1093/ajh/hpag068
Machine learning–driven integration of 24-hour ambulatory blood pressure and its variability
Ntalianis, E., Santana, E. J., Cauwenberghs, N., Cornelissen, V., & Kuznetsova, T. (2026) · PLOS Digital Health · doi:10.1371/journal.pdig.0001499
Self-citation2026 International Society of Hypertension Global Hypertension Practice Guidelines
Stergiou, G. S., Kario, K., Aristizábal, D., Beheiry, H., Cho, M.-C., Colombari, D. S. A., Itoh, H., Jafar, T. H., Jones, E., Li, Y., et al. (2026) · Journal of Hypertension · doi:10.1097/hjh.0000000000004451
Metadata
- Authors
- Kikuya, M., Hansen, T. W., Thijs, L., Björklund-Bodegård, K., Kuznetsova, T., Ohkubo, T., Richart, T., Torp-Pedersen, C., Lind, L., Ibsen, H., Imai, Y., & Staessen, J. A.
- Affiliations
- Uppsala University (SE)
- From the Tohoku University Graduate School of Pharmaceutical Science and Medicine, Sendai, Japan (M.K., T.O., Y.I.); the Research Center for Prevention and Health, Copenhagen, Denmark (T.W.H.); the Studies Coordinating Centre, Division of Hypertension and Cardiovascular Rehabilitation, Department of Cardiovascular Diseases, University of Leuven, Leuven, Belgium (M.K., L.T., T.K., T.R., J.A.S.); the Section of Geriatrics, Department of Public Health and Caring Sciences, Uppsala University, Uppsala,...
- ORCID
- Venue
- Circulation
- Published
- 2007-04-24
- Volume
- 115
- Issue
- 16
- Pages
- 2145-2152
- ISSN
- 0009-7322 (ISSN-L)
- 1524-4539
- OpenAlex
- W1992145371
- Cited by
- 314
- References
- 34
- Citations by year
- 2026: 6 · 2025: 7 · 2024: 14 · 2023: 9 · 2022: 4 · 2021: 4 · 2020: 13 · 2019: 17 · 2018: 17 · 2017: 22 · 2016: 15 · 2015: 12 · 2014: 24 · 2013: 25 · 2012: 25
- FWCI
- 19.96
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Circulation (publishedVersion)
- PubMed (publishedVersion)
- Lirias (acceptedVersion, other-oa)
- Funders
- Hjerteforeningen
- European Commission
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Blood Pressure and Hypertension Studies
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Disease Prevention
- Health Sciences › Nursing › Nutrition and Dietetics › Sodium Intake and Health
- Keywords
- ambulatory blood pressure monitoring, diagnostic thresholds, cardiovascular risk, hypertension, optimal blood pressure, normotension, ambulatory hypertension, 24-hour ambulatory blood pressure, stroke, cardiovascular events
- MeSH terms
- Adolescent, Adult, Aged, Aged, 80 and over, Alcohol Drinking, Antihypertensive Agents, Auscultation, Belgium, Cardiovascular Diseases, Circadian Rhythm, Coronary Disease, Denmark, Diabetes Mellitus, Female, Heart Failure, Humans, Hypertension, Japan, Male, Middle Aged, Myocardial Revascularization, Oscillometry, Predictive Value of Tests, Prospective Studies, Reference Values, Risk Factors, Smoking, Sweden, Reproducibility of Results, Cohort Studies, Confounding Factors, Epidemiologic, Body Mass Index, Proportional Hazards Models, Death, Sudden, Cardiac, Myocardial Ischemia, Blood Pressure Monitoring, Ambulatory, Sphygmomanometers, Stroke, Dyslipidemias
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 ›
Are you an author, or do you see a problem with this page? Request a review