Arrhythmias & electrophysiology
ST-Segment Depression and Left Ventricular Systolic Function Recovery Post-Atrial Fibrillation Ablation in Heart Failure
Main finding · Improvement in LVEFResult — go to the resultHazard ratio 0.35 95% CI 0.129–0.928Authors' conclusion
ST-segment depression before CA during AF rhythm was useful prognostic predictor of improvement in the LVEF and clinical outcomes including HF hospitalization and MACE in PerAF patients with HFrEF.
Study context
- Population
- Persistent atrial fibrillation (AF) patients with left ventricular ejection fraction (LVEF) < 50% undergoing initial ablation (ORAF registry); PCI or CABG within past 1 month excluded
- Participants
- 122 patients
- Exposure
- ST-segment depression vs no ST-segment depression before catheter ablation (CA) during AF rhythm
- Outcome
- Improvement in LVEF (LVEF ≥ 15%)
- Follow-up
- 1 year after CA
Main finding
Improvement in LVEF
Hazard ratio
0.35
95% CI 0.129–0.928
P = 0.035
By group
ST-segment depressionvs No ST-segment depression
HR 0.35 (95% CI 0.129–0.928); P = 0.035
As reported in the abstract
Observational data: associations, not effects.
Further findings
| Outcome | HR (95% CI) | P value | |
|---|---|---|---|
| MACE (HF hospitalization, CV death, CAD hospitalization, ventricular arrhythmia requiring hospitalization, stroke)ST-segment depressionvs No ST-segment depressionMultivariable Cox | 2.82 (1.210–6.584) | P = 0.016 | |
| 0.10.31310Hazard ratio (log scale) |
| Outcome | P value |
|---|---|
| HF hospitalizationHigher risk with ST-segment depression | log rank P = 0.022 |
| MACE (HF hospitalization, CV death, CAD hospitalization, ventricular arrhythmia requiring hospitalization, stroke)ST-segment depression vs No ST-segment depression · Kaplan-Meier; higher risk with ST-segment depression | log rank P = 0.002 |
Original publication
ST-Segment Depression and Left Ventricular Systolic Function Recovery Post-Atrial Fibrillation Ablation in Heart Failure. ESC Heart Fail. Published 5 July 2024. doi:10. 1002/ ehf2. 14946
Composed by AI from the published abstract and checked against it. How Briefs are made →