ArticleThe Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation2025
Video kinematics of an unloaded, ex-vivo beating heart can predict future loaded heart function.
Article in The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
There is not a reliable biomarker for identifying which hearts are at highest risk for primary graft dysfunction. We hypothesize that ex-vivo video kinematics (EVVK) of unloaded beating hearts can help predict post-implant heart performance. Porcine hearts procured following a DCD protocol were re-animated in unloaded ex situ heart perfusion (ESHP) before transitioning to a loaded configuration. Five second videos were recorded using a consumer cell phone. Machine learning EVVK software was developed to autonomously quantify heart function. Of 22 porcine hearts, 6 (27%) did not tolerate loading. EVVK demonstrated prognostic capability to differentiate the future loaded performance in terms of both compliance (p=0.004) and contractility (p=0.003). We also demonstrate proof-of-concept in using EVVK on human hearts (n=4) to provide a quantitative functional assessment of the allograft during transportation from the donor to recipient center. Overall, non-invasive EVVK may be able to aid clinicians in quantitative heart evaluation.
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