A New Prognostic Score for Predicting Atrial Fibrillation Recurrence After Electrical Cardioversion: SLASH Score

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Autori principali: Sittinun Thangjui, Emmett Helsel, Efeturi Okorigba, Anh Q Le, Saim Rana, Fatima Asad, Emily Hendricks, Sandeep Arora, David Schwartzman, Sudarshan Balla
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Pubblicazione: Wiley 2026
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author Sittinun Thangjui
Emmett Helsel
Efeturi Okorigba
Anh Q Le
Saim Rana
Fatima Asad
Emily Hendricks
Sandeep Arora
David Schwartzman
Sudarshan Balla
author_facet Sittinun Thangjui
Emmett Helsel
Efeturi Okorigba
Anh Q Le
Saim Rana
Fatima Asad
Emily Hendricks
Sandeep Arora
David Schwartzman
Sudarshan Balla
Sittinun Thangjui
Emmett Helsel
Efeturi Okorigba
Anh Q Le
Saim Rana
Fatima Asad
Emily Hendricks
Sandeep Arora
David Schwartzman
Sudarshan Balla
collection Wiley Open Access
contents A New Prognostic Score for Predicting Atrial Fibrillation Recurrence After Electrical Cardioversion: SLASH Score Sittinun Thangjui Emmett Helsel Efeturi Okorigba Anh Q Le Saim Rana Fatima Asad Emily Hendricks Sandeep Arora David Schwartzman Sudarshan Balla Pacing and Clinical Electrophysiology ABSTRACT Background Predicting atrial fibrillation (AF) recurrence after electrical cardioversion (ECV) is challenging. The SLAC score predicts 6‐month recurrence but lacked robust external validation. We aimed to externally validate the SLAC score and develop an improved predictive model. Methods We conducted a single‐center retrospective study of patients who underwent successful ECV for AF between 2015 and 2020. Patients with atrial flutter, complex congenital heart disease or early AF ablation were excluded. The primary outcome was AF recurrence at 6 months. SLAC score performance was tested, and multivariable logistic regression was used to develop the SLASH score. Discrimination was assessed with the area under the curve (AUC), calibration with Hosmer–Lemeshow testing, and internal validation with bootstrapping. Results Of 361 patients (mean age 66 ± 12 years, 61% male), 53.7% experienced AF recurrence in 6 months. Median SLAC scores were higher in recurrence patients (7 vs. 2). The SLAC score demonstrated moderate discrimination (AUC 0.70), improved with a cutoff ≥ 6 (AUC 0.72). Independent predictors of recurrence included left atrial volume index ≥ 40 mL/m 2 , prior stroke/TIA, heart rate > 70 bpm, smoking history, and absence of post‐ECV antiarrhythmic therapy. These were incorporated into the SLASH score (0–8 points), which demonstrated improved discrimination (AUC 0.78). Recurrence rates were 16.1%, 65.4%, and 78.5% in low‐, moderate‐, and high‐risk groups, respectively, with acceptable calibration (Hosmer–Lemeshow p = 0.18). Conclusion The SLAC score provides moderate prediction of 6‐month AF recurrence after ECV. The SLASH score showed superior performance and may improve risk stratification and rhythm management. Prospective validation is warranted. 10.1111/pace.70233 http://onlinelibrary.wiley.com/termsAndConditions#vor
doi_str_mv 10.1111/pace.70233
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spellingShingle A New Prognostic Score for Predicting Atrial Fibrillation Recurrence After Electrical Cardioversion: SLASH Score
Sittinun Thangjui
Emmett Helsel
Efeturi Okorigba
Anh Q Le
Saim Rana
Fatima Asad
Emily Hendricks
Sandeep Arora
David Schwartzman
Sudarshan Balla
Pacing and Clinical Electrophysiology
A New Prognostic Score for Predicting Atrial Fibrillation Recurrence After Electrical Cardioversion: SLASH Score Sittinun Thangjui Emmett Helsel Efeturi Okorigba Anh Q Le Saim Rana Fatima Asad Emily Hendricks Sandeep Arora David Schwartzman Sudarshan Balla Pacing and Clinical Electrophysiology ABSTRACT Background Predicting atrial fibrillation (AF) recurrence after electrical cardioversion (ECV) is challenging. The SLAC score predicts 6‐month recurrence but lacked robust external validation. We aimed to externally validate the SLAC score and develop an improved predictive model. Methods We conducted a single‐center retrospective study of patients who underwent successful ECV for AF between 2015 and 2020. Patients with atrial flutter, complex congenital heart disease or early AF ablation were excluded. The primary outcome was AF recurrence at 6 months. SLAC score performance was tested, and multivariable logistic regression was used to develop the SLASH score. Discrimination was assessed with the area under the curve (AUC), calibration with Hosmer–Lemeshow testing, and internal validation with bootstrapping. Results Of 361 patients (mean age 66 ± 12 years, 61% male), 53.7% experienced AF recurrence in 6 months. Median SLAC scores were higher in recurrence patients (7 vs. 2). The SLAC score demonstrated moderate discrimination (AUC 0.70), improved with a cutoff ≥ 6 (AUC 0.72). Independent predictors of recurrence included left atrial volume index ≥ 40 mL/m 2 , prior stroke/TIA, heart rate > 70 bpm, smoking history, and absence of post‐ECV antiarrhythmic therapy. These were incorporated into the SLASH score (0–8 points), which demonstrated improved discrimination (AUC 0.78). Recurrence rates were 16.1%, 65.4%, and 78.5% in low‐, moderate‐, and high‐risk groups, respectively, with acceptable calibration (Hosmer–Lemeshow p = 0.18). Conclusion The SLAC score provides moderate prediction of 6‐month AF recurrence after ECV. The SLASH score showed superior performance and may improve risk stratification and rhythm management. Prospective validation is warranted. 10.1111/pace.70233 http://onlinelibrary.wiley.com/termsAndConditions#vor
title A New Prognostic Score for Predicting Atrial Fibrillation Recurrence After Electrical Cardioversion: SLASH Score
topic Pacing and Clinical Electrophysiology
url https://onlinelibrary.wiley.com/doi/10.1111/pace.70233