Evidence map›Paper›PMID 39527624›Full record

ArticleCirculation. Heart failure2025

Social Determinants of Health and Disparities in Guideline-Directed Medical Therapy Optimization for Heart Failure.

Joshua A Jacobs, Iyanuoluwa Ayodele, Adam P Bress, Madeline R Sterling, Ambarish Pandey, Catherine G Derington, Alexander R Zheutlin, Kevin S Shah, Stephen J Greene, Brooke Alhanti and 2 more

Abstract read
In one paragraph

Article in Circulation. Heart failure, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
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  5. Review
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  9. Observational
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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.

Joshua A JacobsIntermountain Healthcare Department of Population Health Sciences (J.A.J., A.P.B., C.G.D.), Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City.ORCID 0000-0002-9621-9060
Iyanuoluwa AyodeleDuke Clinical Research Institute (I.A., S.J.G., B.A., R.B.), Duke University School of Medicine, Durham, NC.ORCID 0000-0003-4480-1697
Adam P BressIntermountain Healthcare Department of Population Health Sciences (J.A.J., A.P.B., C.G.D.), Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City.ORCID 0000-0002-2259-5039
Madeline R SterlingDivision of General Internal Medicine, Department of Medicine, Weill Cornell Medicine, New York, NY (M.R.S.).ORCID 0000-0002-9928-4407
Ambarish PandeyUniversity of Texas Southwestern Medical Center, Dallas (A.P.).ORCID 0000-0001-9651-3836
Catherine G DeringtonIntermountain Healthcare Department of Population Health Sciences (J.A.J., A.P.B., C.G.D.), Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City.ORCID 0000-0001-7382-4607
Alexander R ZheutlinDivision of Cardiology, Feinberg School of Medicine, Northwestern University, Chicago, IL (A.R.Z.).ORCID 0000-0002-5578-782X
Kevin S ShahDivision of Cardiovascular Medicine, Department of Internal Medicine (K.S.S.), Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City.ORCID 0000-0002-3012-9943
Stephen J GreeneDuke Clinical Research Institute (I.A., S.J.G., B.A., R.B.), Duke University School of Medicine, Durham, NC.ORCID 0000-0001-6912-7374
Brooke AlhantiDuke Clinical Research Institute (I.A., S.J.G., B.A., R.B.), Duke University School of Medicine, Durham, NC.ORCID 0000-0003-4243-8062
Rosalia BlancoDuke Clinical Research Institute (I.A., S.J.G., B.A., R.B.), Duke University School of Medicine, Durham, NC.ORCID 0000-0002-8765-778X
Gregg C FonarowDivision of Cardiology, Ahmanson-UCLA Cardiomyopathy Center, University of California Los Angeles Medical Center (G.C.F.).ORCID 0000-0002-3192-8093

Funding

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
NIA NIH HHS K24 AG080168
6 · The paper itself

Abstract

backgroundFewer than 20% of eligible patients with heart failure with reduced ejection fraction receive all 4 pillars of guideline-directed medical therapy. Understanding disparities by race, ethnicity, sex, and adverse social determinants of health is necessary to equitably optimize quadruple therapy.

methodsUtilizing the American Heart Association's Get With The Guidelines-Heart Failure registry, we examined associations between race and ethnicity, sex, and adverse social determinants of health (insurance type and documented social need [any barrier to accessing health care]) with quadruple therapy optimization (QTO) in patients with heart failure with reduced ejection fraction hospitalized between July 1, 2021, and September 30, 2023, with complete medication data at discharge. We calculated adjusted mean differences (AMDs) in the discharge QTO score (range, 0%-100%) reflecting the proportion of eligible use of renin-angiotensin system inhibitors, β-blockers, mineralocorticoid receptor antagonists, and sodium-glucose cotransporter-2 inhibitors and compared across demographic and adverse social determinants of health groups.

resultsAmong 82 637 patients (median age, 66 years; 32.5% female; 57.0% non-Hispanic White; 76.4% prior heart failure with reduced ejection fraction), the overall mean QTO score was 56.2% (SD, 25.5). After adjustment, compared with non-Hispanic White individuals, Black (AMD, 2.56 percentage points [95% CI, 2.16-2.96]) and Hispanic individuals (AMD, 0.71 percentage points [95% CI, 0.11-1.31]) had higher QTO scores. Females had higher QTO scores than males (AMD, 1.94 percentage points [95% CI, 1.58-2.31]). Patients with no insurance (AMD, -4.90 percentage points [-5.62 to -4.17]), Medicaid (AMD, -0.45 percentage points [-0.89 to -0.01]), and Medicare (AMD, -1.64 percentage points [-2.10 to -1.18]) had lower QTO scores versus private insurance. Those with an identified social need (n=24 651) had lower QTO scores than those without (AMD, -3.40 percentage points [95% CI, -4.10 to -2.71]).

conclusionsDisparities in QTO were most evident for patients with no insurance, Medicaid, Medicare, or potentially an identified social need. Future efforts should focus on reducing gaps to improve equitable guideline-directed medical therapy use.

Indexed as

Healthcare DisparitiesHeart FailureSocial Determinants of HealthAdrenergic beta-AntagonistsAgedFemaleHumansMaleMiddle AgedMineralocorticoid Receptor AntagonistsPractice Guidelines as TopicRegistriesStroke VolumeUnited StatesAdrenergic beta-AntagonistsMineralocorticoid Receptor Antagonistsadrenergic beta-antagonistsangiotensin receptor antagonistsheart failurehospitalizationmineralocorticoid receptor antagonistsquality of healthcaresodium-glucose transporter 2 inhibitor

Identifiers

PMID39527624
PMCPMC11753948

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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.