Atrial Fibrillation (AF) / Heart Failure (HF) · Observational Study
ClinicalTrials.gov · September 10, 2026
Early or partial results. Treat as a signal, not a conclusion.
This is a prospective multicenter observational study registered to evaluate novel echocardiographic algorithms using artificial intelligence to estimate left ventricular filling pressure in patients with concurrent heart failure and atrial fibrillation. The study is in the recruitment phase (planned start February 2026) and has not yet generated results; no efficacy, safety, or diagnostic accuracy data are available for evaluation.
Observational. Heart Failure (HF), Atrial Fibrillation (AF); age from 18 Years. Intervention: Patients with atrial fibrillation referred for right- or le…. n = 400. 15 sites across 10 countries.
This is a prospective multicenter observational study registered to evaluate novel echocardiographic algorithms using artificial intelligence to estimate left ventricular filling pressure in patients with concurrent heart failure and atrial fibrillation. The study is in the recruitment phase (planned start February 2026) and has not yet generated results; no efficacy, safety, or diagnostic accuracy data are available for evaluation.
Safety was not reported in the material analysed. Check the source before drawing any conclusion about harm.
The source did not state who this applies to in practice.
This is a trial registration for a prospective observational study with no results yet reported; recruitment has not begun and data collection is planned for 2026–2028.
As stated by the source record.
Quoted from the source exactly as published.
Graded across the dimensions that decide whether you should act, each from what the source actually supports. There is no single score, and where a dimension was not assessed it says so.
What is missing. This record has no key findings. That is a gap in the analysis, not a judgement about the study.
Registry record from ClinicalTrials.gov (NCT07436299). This is a study registration, not published results. Lead sponsor: Oslo University Hospital. Recruitment status: RECRUITING. Study type: OBSERVATIONAL. Enrollment: 400 participants (ESTIMATED). Conditions: Heart Failure (HF), Atrial Fibrillation (AF). Primary outcome measures: Diagnostic accuracy of a non-invasive algorithm for classification of left ventricular filling pressure in atrial fibrillation , • Start recruitment: February 2026 • End recruitment: January 2028 • Follow-up: 3 years • Data analysis: Ferbuary 2026 - December 2028. Outcome analysis will be extended to 3 years of follow-up. • Manuscript preparation: December 2028 - December 2029; Imaging markers associated with mortality and heart-failure hospitalization in atrial fibrillation , • Start recruitment: February 2026 • End recruitment: January 2028 • Follow-up: 3 years • Data analysis: Ferbuary 2026 - December 2028. Outcome analysis will be extended to 3 years of follow-up. • Manuscript preparation: December 2028 - December 2029. Brief summary: Heart failure and atrial fibrillation are two of the most common heart diseases globally. Nearly half of all patients with heart failure also have atrial fibrillation. When heart failure and atrial fibrillation occur together, the risk of hospitalization and premature death increases significantly. However, there is a lack of reliable tools to assess how severely the heart is affected in these patients. This makes it difficult both to establish the correct diagnosis, tailor treatment, and predict who is at greatest risk of hospital admission or death from the disease. One of the most important targets in heart failure is the filling pressure in the left ventricle. When this pressure is high, it means that the heart has difficulty receiving blood, leading to shortness of breath and fluid retention in the body. Today, filling pressure is usually estimated using ultrasound (echocardiography), but the available methods are primarily developed for patients without atrial fibrillation. In patients with both heart failure and atrial fibrillation, the measurements are so uncertain that they cannot be used as a reliable basis for clinical decision-making. In this study, entitled Heart Failure combined with Atrial Fibrillation (HFcAF), the investigators will test new ultrasound methods that combine novel measures of cardiac chamber function with established techniques. Artificial intelligence will be used to identify the most useful combinations of parameters, select cardiac cycles that are best suited for analysis in atrial fibrillation, and automate and optimize the measurements. This approach may provide both more accurate and faster assessments, while also making the methods easier to implement in clinical practice. The aim is to improve the estimation of filling pressure so that it becomes more precise also in patients with atrial fibrillation. The investigators will then examine whether these improved methods can be used to predict which patients are at highest risk of hospitalization or death due to heart failure. The study is designed as a prospective multicenter study, in which patients are recruited from several hospitals in different countries. This will make the results robust and generalizable to a wide range of patient populations. The investigators anticipate that the project will pave the way for better diagnostics and risk stratification in heart failure combined with atrial fibrillation and, in the longer term, contribute to improved guidelines and treatment for a large number of patients. If successful, the project will provide a new tool that can contribute to earlier and more targeted treatment, thereby improving quality of life and prognosis for a large group of patients.
Taken from the source record, never inferred. Follow any of these and new work involving them reaches your briefing.