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Estimating ejection fraction and heart failure severity using cardiac apex angles: a multiphase pilot study

Journal: Journal of Osteopathic Medicine Date: 2026/03, (online 2026/03/05):. doi: Subito , type of study: mixed methods study

Full text    (https://www.degruyterbrill.com/document/doi/10.1515/jom-2025-0118/html)

Keywords:

cadaver [21]
cardiac apex angle [1]
ejection fraction [3]
heart failure [18]
mixed method study [104]
pilot study [196]

Abstract:

Context Heart failure (HF) affects 6.7 million American adults. The gold standard for HF assessment is echocardiography (echo) to determine the ejection fraction (EF). Evaluating the cardiac apex angle may be a possible way to estimate EF; however, there is a lack of investigation into this relationship. Objectives This study aimed to evaluate whether a correlation exists between the cardiac apex angle and EF. Methods A new, standardized method was developed to measure the cardiac apex angle, with the apex as the vertex, the inferior ray extending from the vertex to the right heart border, and a superior ray extending to the intersection of the left atrial appendage and ventricle. Cadaveric hearts were assessed and patient data from the Medical Information Mart for Intensive Care (MIMIC-IV) database were retrospectively analyzed. Chest X-rays (CXR) provided the cardiac apex angles, and echocardiogram reports contained matched EF values. Results In 15 cadaveric hearts, the average apex angle was 47.2°, and the average EF was 48.5 %. Linear regression analysis revealed an R2 value of 0.6543. In the MIMIC-IV cohort of 583 unique patients with matched echocardiograms and CXRs, the average EF was 52.7 %, and the average apex angle was 47.2°, with linear regression analysis revealing an R2 value of 0.7018. This was further broken down by sex and CXR direction. Conclusions Access to echo may be limited in resource-constrained settings. Utilizing CXRs to estimate EF offers a practical alternative, potentially enabling early diagnosis and standardized treatment. This approach leverages common imaging modalities to bridge diagnostic gaps and improve HF management.


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