Cargando…

Predicting Out-of-Office Blood Pressure in a Diverse US Population

BACKGROUND: The PRedicting Out-of-OFfice Blood Pressure (PROOF-BP) algorithm accurately predicted out-of-office blood pressure (BP) among adults with suspected high BP in the United Kingdom and Canada. We tested the accuracy of PROOF-BP in a diverse US population and evaluated a newly developed US-s...

Descripción completa

Detalles Bibliográficos
Autores principales: Bellows, Brandon K, Xu, Jingyu, Sheppard, James P, Schwartz, Joseph E, Shimbo, Daichi, Muntner, Paul, McManus, Richard J, Moran, Andrew E, Bryant, Kelsey B, Cohen, Laura P, Bress, Adam P, King, Jordan B, Shikany, James M, Green, Beverly B, Yano, Yuichiro, Clark, Donald, Zhang, Yiyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9203065/
https://www.ncbi.nlm.nih.gov/pubmed/35040867
http://dx.doi.org/10.1093/ajh/hpac005
_version_ 1784728655819177984
author Bellows, Brandon K
Xu, Jingyu
Sheppard, James P
Schwartz, Joseph E
Shimbo, Daichi
Muntner, Paul
McManus, Richard J
Moran, Andrew E
Bryant, Kelsey B
Cohen, Laura P
Bress, Adam P
King, Jordan B
Shikany, James M
Green, Beverly B
Yano, Yuichiro
Clark, Donald
Zhang, Yiyi
author_facet Bellows, Brandon K
Xu, Jingyu
Sheppard, James P
Schwartz, Joseph E
Shimbo, Daichi
Muntner, Paul
McManus, Richard J
Moran, Andrew E
Bryant, Kelsey B
Cohen, Laura P
Bress, Adam P
King, Jordan B
Shikany, James M
Green, Beverly B
Yano, Yuichiro
Clark, Donald
Zhang, Yiyi
author_sort Bellows, Brandon K
collection PubMed
description BACKGROUND: The PRedicting Out-of-OFfice Blood Pressure (PROOF-BP) algorithm accurately predicted out-of-office blood pressure (BP) among adults with suspected high BP in the United Kingdom and Canada. We tested the accuracy of PROOF-BP in a diverse US population and evaluated a newly developed US-specific algorithm (PROOF-BP-US). METHODS: Adults with ≥2 office BP readings and ≥10 awake BP readings on 24-hour ambulatory BP monitoring from 4 pooled US studies were included. We compared mean awake BP with predicted out-of-office BP using PROOF-BP and PROOF-BP-US. Our primary outcomes were hypertensive out-of-office systolic BP (SBP) ≥130 mm Hg and diastolic BP (DBP) ≥80 mm Hg. RESULTS: We included 3,058 adults, mean (SD) age was 52.0 (11.9) years, 38% were male, and 54% were Black. The area under the receiver-operator characteristic (AUROC) curve (95% confidence interval) for hypertensive out-of-office SBP was 0.81 (0.79–0.82) and DBP was 0.76 (0.74–0.78) for PROOF-BP. For PROOF-BP-US, the AUROC curve for hypertensive out-of-office SBP was 0.82 (0.81–0.83) and for DBP was 0.81 (0.79–0.83). The optimal predicted out-of-office BP ranges for out-of-office BP measurement referral were 120–134/75–84 mm Hg for PROOF-BP and 125–134/75–84 mm Hg for PROOF-BP-US. The 2017 American College of Cardiology/American Heart Association BP guideline (referral range 130–159/80–99 mm Hg) would refer 93.1% of adults not taking antihypertensive medications with office BP ≥130/80 mm Hg in the National Health and Nutrition Examination Survey for out-of-office BP measurement, compared with 53.1% using PROOF-BP and 46.8% using PROOF-BP-US. CONCLUSIONS: PROOF-BP and PROOF-BP-US accurately predicted out-of-office hypertension in a diverse sample of US adults.
format Online
Article
Text
id pubmed-9203065
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-92030652022-06-17 Predicting Out-of-Office Blood Pressure in a Diverse US Population Bellows, Brandon K Xu, Jingyu Sheppard, James P Schwartz, Joseph E Shimbo, Daichi Muntner, Paul McManus, Richard J Moran, Andrew E Bryant, Kelsey B Cohen, Laura P Bress, Adam P King, Jordan B Shikany, James M Green, Beverly B Yano, Yuichiro Clark, Donald Zhang, Yiyi Am J Hypertens Original Contributions BACKGROUND: The PRedicting Out-of-OFfice Blood Pressure (PROOF-BP) algorithm accurately predicted out-of-office blood pressure (BP) among adults with suspected high BP in the United Kingdom and Canada. We tested the accuracy of PROOF-BP in a diverse US population and evaluated a newly developed US-specific algorithm (PROOF-BP-US). METHODS: Adults with ≥2 office BP readings and ≥10 awake BP readings on 24-hour ambulatory BP monitoring from 4 pooled US studies were included. We compared mean awake BP with predicted out-of-office BP using PROOF-BP and PROOF-BP-US. Our primary outcomes were hypertensive out-of-office systolic BP (SBP) ≥130 mm Hg and diastolic BP (DBP) ≥80 mm Hg. RESULTS: We included 3,058 adults, mean (SD) age was 52.0 (11.9) years, 38% were male, and 54% were Black. The area under the receiver-operator characteristic (AUROC) curve (95% confidence interval) for hypertensive out-of-office SBP was 0.81 (0.79–0.82) and DBP was 0.76 (0.74–0.78) for PROOF-BP. For PROOF-BP-US, the AUROC curve for hypertensive out-of-office SBP was 0.82 (0.81–0.83) and for DBP was 0.81 (0.79–0.83). The optimal predicted out-of-office BP ranges for out-of-office BP measurement referral were 120–134/75–84 mm Hg for PROOF-BP and 125–134/75–84 mm Hg for PROOF-BP-US. The 2017 American College of Cardiology/American Heart Association BP guideline (referral range 130–159/80–99 mm Hg) would refer 93.1% of adults not taking antihypertensive medications with office BP ≥130/80 mm Hg in the National Health and Nutrition Examination Survey for out-of-office BP measurement, compared with 53.1% using PROOF-BP and 46.8% using PROOF-BP-US. CONCLUSIONS: PROOF-BP and PROOF-BP-US accurately predicted out-of-office hypertension in a diverse sample of US adults. Oxford University Press 2022-01-18 /pmc/articles/PMC9203065/ /pubmed/35040867 http://dx.doi.org/10.1093/ajh/hpac005 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of American Journal of Hypertension, Ltd. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Contributions
Bellows, Brandon K
Xu, Jingyu
Sheppard, James P
Schwartz, Joseph E
Shimbo, Daichi
Muntner, Paul
McManus, Richard J
Moran, Andrew E
Bryant, Kelsey B
Cohen, Laura P
Bress, Adam P
King, Jordan B
Shikany, James M
Green, Beverly B
Yano, Yuichiro
Clark, Donald
Zhang, Yiyi
Predicting Out-of-Office Blood Pressure in a Diverse US Population
title Predicting Out-of-Office Blood Pressure in a Diverse US Population
title_full Predicting Out-of-Office Blood Pressure in a Diverse US Population
title_fullStr Predicting Out-of-Office Blood Pressure in a Diverse US Population
title_full_unstemmed Predicting Out-of-Office Blood Pressure in a Diverse US Population
title_short Predicting Out-of-Office Blood Pressure in a Diverse US Population
title_sort predicting out-of-office blood pressure in a diverse us population
topic Original Contributions
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9203065/
https://www.ncbi.nlm.nih.gov/pubmed/35040867
http://dx.doi.org/10.1093/ajh/hpac005
work_keys_str_mv AT bellowsbrandonk predictingoutofofficebloodpressureinadiverseuspopulation
AT xujingyu predictingoutofofficebloodpressureinadiverseuspopulation
AT sheppardjamesp predictingoutofofficebloodpressureinadiverseuspopulation
AT schwartzjosephe predictingoutofofficebloodpressureinadiverseuspopulation
AT shimbodaichi predictingoutofofficebloodpressureinadiverseuspopulation
AT muntnerpaul predictingoutofofficebloodpressureinadiverseuspopulation
AT mcmanusrichardj predictingoutofofficebloodpressureinadiverseuspopulation
AT moranandrewe predictingoutofofficebloodpressureinadiverseuspopulation
AT bryantkelseyb predictingoutofofficebloodpressureinadiverseuspopulation
AT cohenlaurap predictingoutofofficebloodpressureinadiverseuspopulation
AT bressadamp predictingoutofofficebloodpressureinadiverseuspopulation
AT kingjordanb predictingoutofofficebloodpressureinadiverseuspopulation
AT shikanyjamesm predictingoutofofficebloodpressureinadiverseuspopulation
AT greenbeverlyb predictingoutofofficebloodpressureinadiverseuspopulation
AT yanoyuichiro predictingoutofofficebloodpressureinadiverseuspopulation
AT clarkdonald predictingoutofofficebloodpressureinadiverseuspopulation
AT zhangyiyi predictingoutofofficebloodpressureinadiverseuspopulation