Evidence map›Paper›PMID 37929591›Full record

Trial reportCirculation. Heart failure2023

Economic Modeling Analysis of an Intensive GDMT Optimization Program in Hospitalized Heart Failure Patients.

Neal M Dixit, Neil U Parikh, Boback Ziaeian, Gregg C Fonarow

Open access · bronzeAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Circulation. Heart failure, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
4.4field-weighted citation impact, top 4% 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

8 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
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

4 authors at 3 institutions in 1 country.

Neal M DixitDivision of Cardiovascular Medicine, Department of Medicine, University of California, Davis, Sacramento (N.M.D.).
Neil U ParikhSchool of Medicine, Keck School of Medicine of the University of Southern California, Los Angeles (N.U.P.).
Boback ZiaeianDivision of Cardiology, Department of Medicine, David Geffen School of Medicine at the University of California Los Angeles (B.Z., G.C.F.).ORCID 0000-0001-9787-3649
Gregg C FonarowDivision of Cardiology, Department of Medicine, David Geffen School of Medicine at the University of California Los Angeles (B.Z., G.C.F.).ORCID 0000-0002-3192-8093
University of California, Los Angeles · USUniversity of California Davis Medical Center · USUniversity of Southern California · US

Funding

UCLA-UCI Center for Eliminating Cardio-Metabolic Disparities in Multi-Ethnic Populations (UC END-DISPARITIES)P50MD017366 · NIMHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BODEN-ALBALA, BERNADETTE MARIE, BROWN, ARLEEN F. · 2021 to 2025
$17.3M
NIMHD NIH HHS P50 MD017366
6 · The paper itself

Abstract

backgroundThe STRONG-HF trial (Safety, Tolerability and Efficacy of Up-Titration of Guideline-Directed Medical Therapies for Acute Heart Failure) demonstrated substantial reductions in the composite of mortality and morbidity over 6 months among hospitalized patients with heart failure (HF) who were randomized to intensive guideline-directed medical therapy (GDMT) optimization compared with usual care. Whether an intensive GDMT optimization program would be cost-effective for patients with HF with reduced ejection fraction is unknown.

methodsUsing a 2-state Markov model, we evaluated the effect of an intensive GDMT optimization program on hospitalized patients with HF with reduced ejection fraction. Two population models were created to simulate this intervention, a clinical trial model, based on the participants in the STRONG-HF trial, and a real-world model, based on the Get With The Guidelines-HF registry of patients admitted with worsening HF. We then modeled the effect of a 6-month intensive triple therapy GDMT optimization program comprised of cardiologists, clinical pharmacists, and registered nurses. Hazard ratios from the intervention arm of the STRONG-HF trial were applied to both population models to simulate clinical and financial outcomes of an intensive GDMT optimization program from a US health care sector perspective with a lifetime time horizon. Optimal quadruple GDMT use was also modeled.

resultsAn intensive GDMT optimization program was extremely cost-effective with incremental cost-effectiveness ratios <$10 000 per quality-adjusted life-year in both models. Optimal quadruple GDMT implementation resulted in the most gains in life-years with incremental cost-effectiveness ratios of $60 000 and $54 000 in the clinical trial and real-world models, respectively.

conclusionsAn intensive GDMT optimization program for patients hospitalized with HF with reduced ejection fraction would be cost-effective and result in substantial gains in clinical outcomes, especially with the use of optimal quadruple GDMT. Clinicians, payers, and policymakers should prioritize the creation of such programs.

Indexed as

Heart FailureHospitalizationHumansStroke Volumecost-effectiveness analysisheart failurehumansoutpatientspatient readmission

Identifiers

PMID37929591
PMCPMC10872946
OpenAlexW4388420907

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.