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Updated: May 7, 2026

Closure of a Patent Foramen Ovale (PFO): An Intervention Sequence
Published on: December 23, 2022
Multidisciplinary management of patent foramen ovale (PFO) and cryptogenic stroke/TIA
Naqibullah Mirzada1, Per Ladenvall, Per-Olof Hansson
1GUCH Centre, Sahlgrenska University Hospital/Östra, Gothenburg, SwedenDept of Molecular and Clinical Medicine/Cardiology, Institute of Medicine, Sahlgrenska Academy Gothenburg University, Gothenburg, Sweden.
Insights
A multidisciplinary PFO conference and clinical algorithm for patent foramen ovale (PFO) closure in cryptogenic stroke (CS) patients resulted in a 46% closure rate. This rigorous process ensured appropriate treatment, avoiding both overtreatment and undertreatment.
Area of Science:
- Cardiology
- Neurology
- Medical Diagnostics
Background:
- Patent foramen ovale (PFO) is a potential risk factor for cryptogenic ischemic stroke (CS).
- Established indications for PFO closure remain debated, leading to inconsistent patient selection.
- A standardized approach is needed to guide decisions on PFO closure versus conservative management.
Purpose of the Study:
- To describe the implementation of a multidisciplinary PFO conference and a formalized clinical algorithm for PFO closure decisions.
- To evaluate the impact of this process on the rate of PFO closures and patient re-referrals.
- To ensure objective decision-making, avoiding personal preferences and economic influences.
Main Methods:
- A multidisciplinary team (neurology, cardiology, internal medicine, thromboembolism, echocardiography) reviewed 311 patient cases from 2006-2009.
- Key closure criteria included first-ever CS with PFO and atrial septal aneurysm, or recurrent CS with PFO without aneurysm.
- A formalized clinical algorithm guided the closure versus no closure decision-making process.
Main Results:
- Out of 311 patients, 143 (46%) were accepted for PFO closure, while 167 (54%) were rejected.
- Patients accepted for closure were significantly younger (mean 50 years vs. 58 years).
- Only 1.8% of initially rejected patients were re-referred due to recurrent stroke, with subsequent closure performed.
Conclusions:
- The study highlights the complexity of the PFO-CS relationship, with an acceptance rate below 50%.
- A rigorous, multidisciplinary approach is crucial to balance overtreatment and undertreatment in PFO closure decisions.
- The developed algorithm demonstrated a stable closure acceptance rate and a low rate of repeat referrals, indicating effective patient selection.
Purpose:
Patent foramen ovale (PFO) has been implicated as a risk factor for cryptogenic ischemic stroke (CS). However, there is still a lack of widely accepted, undisputed indications for PFO closure. The present study describes the concept of the multidisciplinary PFO conference and a decision making process for closure versus no closure that was developed into a formalized clinical algorithm, and presents the results of implementing these, in terms of number and proportion of PFO closures as well as repeat referrals.
Design:
Five specialists in neurology, cardiology, internal medicine, thromboembolism, and echocardiography evaluated the clinical data of 311 patients at PFO conferences during 2006 to 2009. The main criteria for closure were patients with first-ever CS with PFO and atrial septal aneurysm, or patients with recurrent CS and PFO without atrial septal aneurysm.
Results:
A total of 143 patients (46%) were accepted for closure and 167 patients were rejected. Patients accepted for closure were younger (mean 50 years versus 58 years) (P < 0.001). The acceptance rate for PFO closure was similar throughout these years, with an average of 45%. Three of 167 patients (1.8%) initially rejected for PFO closure were re-referred due to recurrent stroke, and the PFO closure was subsequently performed.
Conclusion:
The acceptance rate of less than 50% in the present study underscores the complex relationship between CS and PFO. Whatever the criteria used for PFO closure, any unit caring for these patients needs to have a rigorous process to avoid overtreatment as well as undertreatment and to ensure that personal preferences and economic incentives do not steer the selection process. Our algorithm provides a stable acceptance rate and a low rate of repeat referrals.
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