Evidence map›Paper›PMID 38554284›Full record

Trial reportAmerican journal of hypertension2024

Associations of Ambulatory Blood Pressure Measurements With High-Sensitivity Troponin and Natriuretic Peptide Levels in SPRINT.

Nikit Venishetty, Jarett D Berry, James A de Lemos, Elaine Wu, MinJae Lee, Paul E Drawz, Vijay Nambi, Christie M Ballantyne, Anthony A Killeen, Joachim H Ix and 2 more

Open access · greenAbstract readRandomized Controlled TrialMulticenter Study
In one paragraph

Trial report in American journal of hypertension, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 94% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 8 institutions in 1 country.

Nikit VenishettyDepartment of Medicine, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center, El Paso, Texas, USA.ORCID 0000-0002-2289-3079
Jarett D BerryDepartment of Medicine, University of Texas at Tyler Health Science Center, Tyler, Texas, USA.
James A de LemosDivision of Cardiology, Department of Cardiology, the University of Texas at Southwestern Medical School, Dallas, Texas, USA.
Elaine WuDivision of Cardiology, Department of Cardiology, the University of Texas at Southwestern Medical School, Dallas, Texas, USA.
MinJae LeeDepartment of Biostatistics, Peter O'Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Paul E DrawzDivision of Nephrology and Hypertension, University of Minnesota Medical School, Minneapolis, Minnesota, USA.
Vijay NambiDepartment of Medicine and Center for Cardiometabolic Disease Prevention, Baylor College of Medicine, Houston, Texas, USA.
Christie M BallantyneDepartment of Medicine and Center for Cardiometabolic Disease Prevention, Baylor College of Medicine, Houston, Texas, USA.
Anthony A KilleenDepartment of Laboratory Medicine and Pathology, University of Minnesota Medical School, Minneapolis, Minnesota, USA.
Joachim H IxNephrology Section, Veterans Affairs San Diego Healthcare System, San Diego, California, USA.
Michael G ShlipakDepartment of Medicine, Kidney Health Research Collaborative, San Francisco Veterans Affairs Health Care System and University of California San Francisco, San Francisco, California, USA.
Simon B AscherDepartment of Medicine, Kidney Health Research Collaborative, San Francisco Veterans Affairs Health Care System and University of California San Francisco, San Francisco, California, USA.ORCID 0000-0003-3465-4208
The University of Texas Southwestern Medical Center · USUniversity of California, San Francisco · USUniversity of Minnesota Medical Center · USBaylor College of Medicine · USMichael E. DeBakey VA Medical Center · USTexas Tech University · USThe University of Texas Health Science Center at Tyler · USUniversity of California San Diego · US

Funding

INSTITUTIONAL CLINICAL AND TRANSLATIONAL SCIENCE AWARDUL1RR024134 · NCRR · UNIVERSITY OF PENNSYLVANIA · PI FITZGERALD, GARRET A · 2006 to 2011
$70.4M
University of Pittsburgh Clinical and Translational Science InstituteUL1TR000005 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2012 to 2015
$50.8M
Clinical and Translational Science Collaborative of ClevelandUL1TR000439 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI KONSTAN, MICHAEL W. · 2012 to 2016
$50.0M
Michigan Institute for Clinical and Health Research (MCHR)UL1TR000433 · NCATS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MASHOUR, GEORGE ALEXANDER · 2012 to 2016
$49.9M
UC Davis Clinical and Translational Science CenterUL1TR001860 · NCATS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI KENYON, NICHOLAS J., LYLES, COURTNEY REES · 2016 to 2025
$47.3M
Stanford Center for Clinical & Translational Education and Research (Spectrum)UL1TR003142 · NCATS · STANFORD UNIVERSITY · PI O'HARA, RUTH M · 2019 to 2023
$45.0M
The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
Institutional Clinical and Translational Science AwardUL1TR000003 · NCATS · UNIVERSITY OF PENNSYLVANIA · PI FITZGERALD, GARRET A · 2012 to 2015
$38.9M
Clinical and Translational Science Collaborative of ClevelandUL1TR002548 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI MCCOMSEY, GRACE A · 2018 to 2022
$35.5M
Wake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3M
Clinical and Translational Science Collaborative of Northern Ohio, Catalyzing Linkages to Equity in Health (CLE Health)UM1TR004528 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI GRACE A MCCOMSEY · 2023 to 2026
$32.1M
Tufts Clinical and Translational Research InstituteUL1TR001064 · NCATS · TUFTS UNIVERSITY BOSTON · PI SELKER, HARRY P. · 2013 to 2017
$26.4M
American Heart Association CDA 936281NCATS NIH HHS KL2 TR001859NCATS NIH HHS UL1 TR000002NCATS NIH HHS UL1 TR000003NCATS NIH HHS UL1 TR000005NCATS NIH HHS UL1 TR000050NCATS NIH HHS UL1 TR000064NCATS NIH HHS UL1 TR000073NCATS NIH HHS UL1 TR000075NCATS NIH HHS UL1 TR000093NCATS NIH HHS UL1 TR000105NCATS NIH HHS UL1 TR000433NCATS NIH HHS UL1 TR000439NCATS NIH HHS UL1 TR000445NCATS NIH HHS UL1 TR001064NCATS NIH HHS UL1 TR001420NCATS NIH HHS UL1 TR001860NCATS NIH HHS UL1 TR002548NCATS NIH HHS UL1 TR003142NCATS NIH HHS UM1 TR004528NCRR NIH HHS UL1 RR024134NCRR NIH HHS UL1 RR025752NCRR NIH HHS UL1 RR025755NCRR NIH HHS UL1 RR025771NHLBI NIH HHS 1R01HL144112-01NHLBI NIH HHS HHSN268200900040CNHLBI NIH HHS HHSN268200900046CNHLBI NIH HHS HHSN268200900047CNHLBI NIH HHS HHSN268200900048CNHLBI NIH HHS HHSN268200900049CNHLBI NIH HHS K24 HL166681NHLBI NIH HHS R01 HL144112NIA NIH HHSNIGMS NIH HHS P30 GM103337NIH HHS UL1 TR001860NINDS NIH HHS HHSN268200900040C
6 · The paper itself

Abstract

backgroundNighttime blood pressure (BP) has greater prognostic importance for cardiovascular disease (CVD) than daytime BP, but less is known about nighttime and daytime BP associations with measures of subclinical CVD.

methodsAmong 897 Systolic Blood Pressure Intervention Trial Study (SPRINT) participants with 24-hour ambulatory BP monitoring obtained near the 27-month study visit, 849 (95%) had N-terminal pro-B-type natriuretic peptide (NT-proBNP) and high-sensitivity cardiac troponin T (hs-cTnT) measured at the 24-month study visit. Multivariable linear regression analyses were performed to evaluate the associations of nighttime and daytime BP with cardiac biomarker levels.

resultsThe mean age was 69 ± 12 years, 28% were African American, and mean nighttime and daytime SBP were 121 ± 16 mm Hg and 132 ± 14 mm Hg, respectively. In multivariable models, compared with the lowest tertile of nighttime systolic BP, the highest tertile was associated with 48% higher NT-proBNP levels (adjusted geometric mean ratio [GMR] = 1.48, 95% CI: 1.22, 1.79), and 19% higher hs-cTnT levels (adjusted GMR = 1.19, 95% CI: 1.07, 1.32). In contrast, the highest vs. lowest tertile of daytime systolic BP was not associated with NT-proBNP (adjusted GMR = 1.09, 95% CI: 0.88, 1.34), but was associated with 16% higher hs-cTnT levels (adjusted GMR = 1.16, 95% CI: 1.04, 1.30). Similar results were observed using diastolic BP.

conclusionsIn SPRINT, both higher nighttime and daytime BP were independently associated with higher hs-cTnT levels, but only higher nighttime BP was associated with higher NT-proBNP levels.

Indexed as

BiomarkersBlood PressureBlood Pressure Monitoring, AmbulatoryCircadian RhythmHypertensionNatriuretic Peptide, BrainPeptide FragmentsTroponin TAgedAged, 80 and overCardiovascular DiseasesFemaleHumansMaleMiddle AgedTime FactorsBiomarkersNatriuretic Peptide, BrainPeptide Fragmentspro-brain natriuretic peptide (1-76)Troponin Tambulatory blood pressureblood pressurehypertensionnatriuretic peptidenocturnal hypertensionSPRINTtroponin

Identifiers

PMID38554284
PMCPMC11247134
OpenAlexW4393337562

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Registered trials

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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.