ArticleClinical research in cardiology : official journal of the German Cardiac Society2026
Pre-interventional transesophageal echocardiography as a reliable predictor of residual shunt following patent foramen ovale closure.
Article in Clinical research in cardiology : official journal of the German Cardiac Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- Patent Foramen Ovale: Epidemiology, Risk Factors, Pathophysiology, Clinical Features, Diagnosis, and Management.MedComm · 2026Review
- Routine Troponin I Assessment Enhances Risk Stratification in Hospitalized Patients with Seasonal Influenza.Journal of clinical medicine · 2026Article
- Prediction of syncope recurrence after percutaneous closure of patent foramen ovale based on machine learning.Scientific reports · 2026Article
- The Role and Research Progress of CD8Biomedicines · 2025Review
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11 authors.
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Abstract
backgroundClosure of a patent foramen ovale (PFO) is an effective strategy in the prevention of recurrent stroke after cryptogenic stroke. Residual shunt (RS) is a common issue following PFO closure and may affect safety and efficacy. Transesophageal echocardiography (TEE) is the key diagnostic tool, but standardized assessment of morphological parameters to prevent RS remains challenging.
aimsIn this study, we investigate the diagnostic value of different anatomical parameters assessed by TEE to predict RS after PFO closure.
methodsWe consecutively enrolled five-hundred and twenty-seven (n = 527) patients undergoing PFO closure. We performed pre-interventional TEE, and after PFO closure, we then screened for RS by TEE at 6-month follow-up.
resultsPre-interventional TEE measures of PFO morphology revealed significant differences in patients with RS in comparison to those with closed PFO. Incidence of RS was significantly more frequent in patients with atrial septum aneurysm (p = 0.022) and increasing PFO size (p = 0.025). In patients with RS, we found significantly increased length (p = 0.005) of septum primum and PFO tunnel (p = 0.036) as well as excursion (p = 0.005) of septum primum. By training machine learning models on TEE parameters, stratification of PFO morphology resulted in high diagnostic accuracy to predict RS after PFO closure.
conclusionsOur study elucidates that a baseline characterization of PFO morphology using TEE improves diagnostic precision to identify patients with RS after PFO closure. A standardized approach might thus enhance the efficacy and safety of transcatheter PFO closure. Prediction of complete closure might reduce complications and allow for a more refined patient selection and treatment.
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