Evidence map›Paper›PMID 41332416›Full record

Trial reportCirculation. Heart failure2026

Digital Platform to Optimize Guideline-Directed Heart Failure Therapy: Results of the AIM-POWER Trial.

Adam D DeVore, Maulik Majmudar, Leigh Etters, Jiecheng Xie, Chen Hao, Phillip H Lam, Adrian F Hernandez, Gregg C Fonarow, Akshay S Desai

Registry-linked trialAbstract readRandomized Controlled TrialMulticenter Study
PubMed Publisher
In one paragraph

Trial report in Circulation. Heart failure, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04191330 (Artificial Intelligence Mobile Health Trial Of A Digital Platform To Optimize Guideline Directed Heart Failure Therapy Using Wearable Sensors), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

NCT04191330 naunknown statusnot on this map

Artificial Intelligence Mobile Health Trial Of A Digital Platform To Optimize Guideline Directed Heart Failure Therapy Using Wearable Sensors

TypeinterventionalSponsorBiofourmis Inc.Ran2020 to 2024Enrolled122ConditionsHeart FailureArmsBiovitalsHF
3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Adam D DeVoreDuke Clinical Research Institute and Department of Medicine, Duke University School of Medicine, Durham, NC (A.D.D., A.F.H.).ORCID 0000-0002-4679-2221
Maulik MajmudarBiofourmis Inc, Nashville, TN (M.M., L.E., J.X., C.H.).
Leigh EttersBiofourmis Inc, Nashville, TN (M.M., L.E., J.X., C.H.).
Jiecheng XieBiofourmis Inc, Nashville, TN (M.M., L.E., J.X., C.H.).ORCID 0000-0001-5720-3392
Chen HaoBiofourmis Inc, Nashville, TN (M.M., L.E., J.X., C.H.).ORCID 0000-0003-2322-494X
Phillip H LamGeorgetown University and Department of Cardiology, MedStar Washington Hospital Center, Washington, DC (P.H.L.).
Adrian F HernandezDuke Clinical Research Institute and Department of Medicine, Duke University School of Medicine, Durham, NC (A.D.D., A.F.H.).ORCID 0000-0003-3387-9616
Gregg C FonarowDivision of Cardiology, Department of Medicine, Ronald Reagan-UCLA Medical Center, Los Angeles, CA (G.C.F.).ORCID 0000-0002-3192-8093
Akshay S DesaiCardiovascular Division, Brigham and Women's Hospital, Boston, MA (A.S.D.).ORCID 0000-0002-1443-0701

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLess than 1 in 3 patients in the United States with heart failure (HF) with reduced ejection fraction are receiving guideline-recommended medical therapy. Remote titration programs outside of structured episodes of care may address this issue and improve the implementation of guideline-recommended care.

methodsAIM-POWER (Artificial Intelligence Mobile Health Trial of a Digital Platform to Optimize Guideline-Directed Heart Failure Therapy Using Wearable Sensors) was a multicenter, open-label, clinical trial of participants with HF with reduced ejection fraction who were not optimized on medical therapy designed to evaluate the safety and efficacy of a digital intervention to guide optimal initiation and titration of pharmacological therapy. Participants were randomized 1:1 to a BiovitalsHF intervention or usual care and followed for 90 days. Participants receiving the intervention assessed their weight daily, and blood pressure and heart rate twice daily. These data were collected remotely and used to create outpatient medication titration recommendations from the BiovitalsHF platform to site clinicians every 2 weeks. The primary outcome was the between-group difference in the change in an HF optimal therapy score.

resultsWe randomized 122 participants at 21 sites in the United States. The mean (±SD) age of the participants was 61.6±12.4 years, and 69% were male. The mean left ventricular ejection fraction was 29±6.7%, and the mean baseline HF optimal therapy score was 3.8±1.8 (range, 0-8). At 90 days after randomization, the change in the score was significantly greater in the intervention group than usual care group (1.72 ±1.75 intervention versus 0.44 ±1.18 usual care;

conclusionsIn participants with HF with reduced ejection fraction who were not yet optimized on medical therapy, a digital intervention that focused on the optimization of HF pharmacological therapy resulted in a significantly greater change in an HF optimal therapy score at 90 days than usual care. REGISTRATION: URL: https://www.clinicaltrials.gov; Unique identifier: NCT04191330.

Indexed as

Artificial IntelligenceHeart FailureWearable Electronic DevicesAgedFemaleGuideline AdherenceHeart RateHumansMaleMiddle AgedPractice Guidelines as TopicStroke VolumeTelemedicineTime FactorsTreatment OutcomeUnited Statesdrug therapyheart failureimplementation sciencequality improvementtechnology

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.