Trial reportCirculation. Heart failure2026
Digital Platform to Optimize Guideline-Directed Heart Failure Therapy: Results of the AIM-POWER Trial.
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.
What it found
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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.
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.
Artificial Intelligence Mobile Health Trial Of A Digital Platform To Optimize Guideline Directed Heart Failure Therapy Using Wearable Sensors
Who cites it
3 citing papers in PubMed.
- Non-Physician-Led Models of Care for Heart Failure Medication Optimization: A Scoping Review.CJC open · 2026Review
- From Molecules to Multidisciplinary Teams: A Contemporary View of Heart Failure Care.Journal of clinical medicine · 2026Article
- From Automation to Action in Heart Failure: Digital Solutions, Pragmatic Evidence, and the Integrative Role of Implementation Science.Circulation. Heart failure · 2026Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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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.