Evidence map›Paper›PMID 39392155›Full record

ArticleJournal of the American Heart Association2024

Trends in Initial Antihypertensive Medication Prescribing Among >2.8 Million Veterans Newly Diagnosed With Hypertension, 2000 to 2019.

Yizhe Xu, Catherine G Derington, Daniel K Addo, Tao He, Joshua A Jacobs, April F Mohanty, Jaejin An, William C Cushman, P Michael Ho, Brandon K Bellows and 2 more

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Adherence to Antihypertensive Therapy: A Cross-Sectional Study Among Patients in the Republic of Kazakhstan.International journal of environmental research and public health · 2025
    Article
  6. Article
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.

Yizhe XuDepartment of Internal Medicine, Division of Epidemiology, Spencer Fox-Eccles School of Medicine University of Utah Salt Lake City UT.ORCID 0000-0002-0773-1709
Catherine G DeringtonIntermountain Healthcare Department of Population Health Sciences, Divisions of Health System Innovation and Research and Biostatistics, Spencer Fox-Eccles School of Medicine University of Utah Salt Lake City UT.ORCID 0000-0001-7382-4607
Daniel K AddoIntermountain Healthcare Department of Population Health Sciences, Divisions of Health System Innovation and Research and Biostatistics, Spencer Fox-Eccles School of Medicine University of Utah Salt Lake City UT.ORCID 0000-0002-3450-6718
Tao HeGeorge E. Wahlen Department of Veterans Affairs Medical Center Salt Lake City UT.
Joshua A JacobsIntermountain Healthcare Department of Population Health Sciences, Divisions of Health System Innovation and Research and Biostatistics, Spencer Fox-Eccles School of Medicine University of Utah Salt Lake City UT.ORCID 0000-0002-9621-9060
April F MohantyDepartment of Internal Medicine, Division of Epidemiology, Spencer Fox-Eccles School of Medicine University of Utah Salt Lake City UT.ORCID 0000-0003-4510-9758
Jaejin AnDepartment of Research and Evaluation Kaiser Permanente Southern California Pasadena CA.ORCID 0000-0002-3161-5732
William C CushmanDepartment of Preventive Medicine University of Tennessee Health Science Center Memphis TN.ORCID 0000-0001-7162-2972
P Michael HoDivision of Cardiology University of Colorado Anschutz Medical Campus Aurora CO.ORCID 0000-0002-7775-6266
Brandon K BellowsDepartment of Medicine Columbia University New York NY.ORCID 0000-0003-1395-6047
Jordana B CohenDepartment of Medicine, Renal-Electrolyte and Hypertension Division Perelman School of Medicine at the University of Pennsylvania Philadelphia PA.ORCID 0000-0003-4649-079X
Adam P BressIntermountain Healthcare Department of Population Health Sciences, Divisions of Health System Innovation and Research and Biostatistics, Spencer Fox-Eccles School of Medicine University of Utah Salt Lake City UT.ORCID 0000-0002-2259-5039

Funding

CTSA UM1 Program at University of UtahUM1TR004409 · NCATS · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI RACHEL HESS, Jennifer Juhl Majersik · 2023 to 2026
$21.9M
Informing optimal first-line antihypertensive therapy: A rigorous comparative effectiveness analysis of ARBs vs. ACEIs on long-term risk of dementia, cancer, heart disease, and quality of lifeR01AG074989 · NIA · UNIVERSITY OF PENNSYLVANIA · PI BRESS, ADAM P, COHEN, JORDANA B. · 2022 to 2025
$3.3M
Using pharmacoepidemiology to optimize antihypertensive medication use to prevent aging-related multimorbidity: Midcareer investigator award in patient-oriented research and mentoring.K24AG080168 · NIA · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Adam P Bress · 2023 to 2026
$793k
NCATS NIH HHS UM1 TR004409NIA NIH HHS K24 AG080168NIA NIH HHS R01 AG074989
6 · The paper itself

Abstract

backgroundAmong patients diagnosed with high blood pressure (BP), initial dual therapy has been recommended for patients with high pretreatment systolic BP (≥160 mm Hg) since 2003, and first-line β-blocker use without a compelling condition has fallen out of favor in US guidelines. METHODS AND

resultsThis serial cross-sectional study of national Veterans Health Administration data included adult Veterans with incident hypertension initiating antihypertensive medication between January 1, 2000, and December 31, 2019. We assessed annual trends in initial regimens dispensed (index date: first antihypertensive dispense date) by number of classes and unique class combinations used overall and by pretreatment systolic BP (<140, 140 to <160, and ≥160 mm Hg), as well as trends in subgroups (age, sex, race and ethnicity, and comorbidities warranting β-blocker use). Among 2 832 684 eligible Veterans (average age 61 years, 95% men, 65% non-Hispanic White, and 8% with cardiovascular disease), from 2000-2004 to 2015-2019, initial monotherapy increased across all pretreatment systolic BP levels (<140 mm Hg: 62.1% to 66.4%; 140 to <160 mm Hg: 70.7% to 76.8%; ≥160 mm Hg: 64.2% to 69.7%). Initiation of dual therapy decreased across all pretreatment systolic BP levels (<140 mm Hg: 25.0% to 24.2%; 140 to <160 mm Hg: 20.4% to 17.6%; ≥160 mm Hg: 22.7% to 22.0%). Among 2 521 696 Veterans (89% of overall) without a β-blocker-indicated condition in 2015 to 2019, 20% initiated a β-blocker, most commonly as monotherapy.

conclusionsMore than half of US Veterans diagnosed with hypertension with a pretreatment systolic BP ≥160 mm Hg were started on antihypertensive monotherapy. There are disparities between guideline-recommended first-line treatments and the actual regimens initiated for newly diagnosed Veterans with hypertension.

Indexed as

Antihypertensive AgentsBlood PressureHypertensionPractice Patterns, Physicians'VeteransAdrenergic beta-AntagonistsAgedCross-Sectional StudiesDrug PrescriptionsDrug Therapy, CombinationFemaleHumansMaleMiddle AgedUnited StatesUnited States Department of Veterans AffairsAdrenergic beta-AntagonistsAntihypertensive Agentsantihypertensive medicationblood pressuretreatment initiationtrendsveteran

Identifiers

PMID39392155
PMCPMC11935568

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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.