Evidence map›Paper›PMID 35040867›Full record

ArticleAmerican journal of hypertension2022

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

Brandon K Bellows, Jingyu Xu, James P Sheppard, Joseph E Schwartz, Daichi Shimbo, Paul Muntner, Richard J McManus, Andrew E Moran, Kelsey B Bryant, Laura P Cohen and 7 more

Open access · hybridAbstract read
In one paragraph

Article in American journal of hypertension, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.5field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 7 institutions in 2 countries.

Brandon K BellowsDepartment of Medicine, Columbia University Irving Medical Center, New York, New York, USA.ORCID 0000-0003-1395-6047
Jingyu XuDepartment of Medicine, Columbia University Irving Medical Center, New York, New York, USA.
James P SheppardNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Joseph E SchwartzDepartment of Medicine, Columbia University Irving Medical Center, New York, New York, USA.
Daichi ShimboDepartment of Medicine, Columbia University Irving Medical Center, New York, New York, USA.ORCID 0000-0001-6302-8834
Paul MuntnerDepartment of Epidemiology, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Richard J McManusNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Andrew E MoranDepartment of Medicine, Columbia University Irving Medical Center, New York, New York, USA.
Kelsey B BryantDepartment of Medicine, Columbia University Irving Medical Center, New York, New York, USA.
Laura P CohenDepartment of Medicine, Columbia University Irving Medical Center, New York, New York, USA.
Adam P BressDepartment of Population Health Sciences, University of Utah, Salt Lake City, Utah, USA.
Jordan B KingDepartment of Population Health Sciences, University of Utah, Salt Lake City, Utah, USA.
James M ShikanyDepartment of Epidemiology, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Beverly B GreenKaiser Permanente Washington Health Research Institute, Kaiser Permanente, Seattle, Washington, USA.
Yuichiro YanoDepartment of Family Medicine and Community Health, Duke University, Durham, North Carolina, USA.
Donald ClarkDepartment of Medicine, University of Mississippi Medical Center, Jackson, Mississippi, USA.
Yiyi ZhangDepartment of Medicine, Columbia University Irving Medical Center, New York, New York, USA.
Columbia University Irving Medical Center · USUniversity of Alabama at Birmingham · USUniversity of Oxford · GBUniversity of Utah · USDuke University · USKaiser Permanente Washington Health Research Institute · USUniversity of Mississippi Medical Center · US

Funding

Tracking and Evaluation CoreU54GM115428 · NIGMS · UNIVERSITY OF MISSISSIPPI MED CTR · PI COMPRETTA, CAROLINE E. · 2016 to 2025
$38.2M
WORKSITE BLOOD PRESSURE STUDYP01HL047540 · NHLBI · WEILL MEDICAL COLLEGE OF CORNELL UNIV · PI BURG, MATTHEW M · 1993 to 2014
$27.7M
Institutional Career Development CoreKL2TR001874 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GENKINGER, JEANINE M., SHIMBO, DAICHI · 2016 to 2025
$13.6M
Incorporation of a Hypertension Working Group into the Jackson Heart StudyR01HL117323 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI LEWIS, CORA E, OGEDEGBE, OLUGBENGA G. · 2013 to 2024
$7.2M
Promoting Academic Workforce Development in Behavioral Medicine and Sleep Disorders ResearchR25HL105444 · NHLBI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI Girardin Jean-Louis, Tatjana Rundek · 2010 to 2026
$5.8M
Evaluating novel approaches for estimating awake and sleep blood pressureR01HL139716 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI LEVITAN, EMILY B, SHIMBO, DAICHI · 2018 to 2021
$3.4M
Guiding next steps for SPRINT-MIND implementation: Identifying high-benefit subgroups and comparative effects of ARB- vs. ACEI-based regimensR01AG065805 · NIA · UNIVERSITY OF UTAH · PI BRESS, ADAM P · 2020 to 2023
$2.7M
Model Based Approach to Improving Hypertension Control in PopulationsR01HL130500 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MORAN, ANDREW EDWARD · 2016 to 2019
$2.4M
Improving the Detection of Masked Hypertension: Analysis of Pooled Population- and Community-Based StudiesR01HL144773 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI MUNTNER, PAUL, VIERA, ANTHONY J · 2019 to 2021
$1.2M
Genetic ancestry and antihypertensive medication responses in African AmericansK01HL133468 · NHLBI · UNIVERSITY OF UTAH · PI BRESS, ADAM P · 2016 to 2020
$787k
Comparing the value of intensive systolic blood pressure treatment implementation strategiesK01HL140170 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BELLOWS, BRANDON K · 2018 to 2022
$709k
Department of HealthHRSA HHS K01 HL133468NCATS NIH HHS KL2 TR001874NCATS NIH HHS P01HL047540NHLBI NIH HHS HHSN268201800003INHLBI NIH HHS HHSN268201800004INHLBI NIH HHS HHSN268201800005INHLBI NIH HHS HHSN268201800006INHLBI NIH HHS HHSN268201800007INHLBI NIH HHS HHSN268201800010INHLBI NIH HHS HHSN268201800011CNHLBI NIH HHS HHSN268201800011INHLBI NIH HHS HHSN268201800012CNHLBI NIH HHS HHSN268201800012INHLBI NIH HHS HHSN268201800014CNHLBI NIH HHS HHSN268201800014INHLBI NIH HHS HHSN268201800015INHLBI NIH HHS K01 HL133468NHLBI NIH HHS K01 HL140170NHLBI NIH HHS P01 HL047540NHLBI NIH HHS R01 HL117323NHLBI NIH HHS R01 HL130500NHLBI NIH HHS R01 HL139716NHLBI NIH HHS R01 HL144773NHLBI NIH HHS R25 HL105444NIA NIH HHS R01 AG065805NIGMS NIH HHS U54 GM115428NIGMS NIH HHS U54GM115428NIMHD NIH HHS HHSN268201800013IWellcome Trust 211182/Z/18/Z
6 · The paper itself

Abstract

backgroundThe 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).

methodsAdults 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.

resultsWe 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.

conclusionsPROOF-BP and PROOF-BP-US accurately predicted out-of-office hypertension in a diverse sample of US adults.

Indexed as

HypertensionAdultAntihypertensive AgentsBlood PressureBlood Pressure DeterminationBlood Pressure Monitoring, AmbulatoryFemaleHumansMaleMiddle AgedNutrition SurveysUnited StatesAntihypertensive Agentsambulatory blood pressure monitoringblood pressureblood pressure measurementcardiovascular diseasehigh blood pressurehypertension

Identifiers

PMID35040867
PMCPMC9203065
OpenAlexW4206816430

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.