Key result
A predictive model for AF recurrence during the first year after electrical cardioversion in patients with persistent AF and OSAHS achieved 82.76% sensitivity and 82.35% specificity.
Why the study?
Untreated OSAHS in AF patients reduces electrical cardioversion success rates and influences antiarrhythmic therapy efficacy, prompting the need to predict AF recurrence.
Can a predictive model identify high-risk patients for atrial fibrillation recurrence during the first year after electrical cardioversion in patients with non-valvular persistent AF and OSAHS?
Observational (n=46)
Can a predictive model identify high-risk patients for atrial fibrillation recurrence during the first year after electrical cardioversion in patients with non-valvular persistent AF and OSAHS?
A newly elaborated predictive model demonstrated high sensitivity and specificity for identifying patients with persistent AF and OSAHS at high risk for AF recurrence within one year after electrical cardioversion.
May support post-cardioversion risk stratification in persistent AF with OSAHS; leaves open external validation before clinical adoption.
Background. Untreated obstructive sleep apnoea-hypopnoea syndrome (OSAHS) in atrial fibrillation (AF) patients influences the efficacy of antiarrhythmic drug therapy and reduces electrical cardioversion and catheter ablation success rates. The aim: to elaborate a predictive model, which will help to identify high-risk patients with AF recurrence during the first year after electrical cardioversion in patients with non-valvular persistent AF, suffering from OSAHS. Material and methods. We examined 46 non-valvular persistent AF patients, undergoing electrical cardioversion; mean age 57,2±6,4 year. All patients were subjected to cardiorespiratory monitoring. The AF recurrence data were obtained on the study patients during one year following cardioversion. Statistical analysis was performed using STATISTICA 10.0 (StatSoft, Inc., USA) and programm «RStudio 1.1.183». Results. A predictive model, which will help to identify high-risk patients with AF recurrence during the first year after electrical cardioversion in patients with non-valvular persistent AF, suffering from OSAHS, was elaborated (sensitivity 82,76 , specificity 82,35%). Conclusion. The use of the statistical model will enable more carefully to predict the recurrence of AF in patients with non-valvular persistent AF, suffering from OSAHS, and to perfom appropriate management of such patients.
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Балабанович et al. (2019) conducted an observational in Non-valvular persistent atrial fibrillation with obstructive sleep apnoea-hypopnoea syndrome (n=46). Predictive model was evaluated on Atrial fibrillation recurrence during the first year after electrical cardioversion. A predictive model for AF recurrence during the first year after electrical cardioversion in patients with persistent AF and OSAHS achieved 82.76% sensitivity and 82.35% specificity.
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