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Brain & Heart Post-stroke atrial fibrillation and predictive scores

(Cont’d...)

Skrebelyte-Strom et al. [14] Multivariate regression Formula: 0.05472×LAVIs mL/m2+0,95928×log (1+PAC/24 h)+0.03615×Pdur ms+1.05513×Pmorph

PROACTIA Prospective 236 68.6±12.5 IEM 36% >30 s /

DECRYPTORING Vera et al. [13] Prospective Univariate binary logistic regression 63 77±7.8 15-day NIEM 24% >30 s Age >75 years (9), blood hypertension (1), T troponin >40 ng/L (8.5), NT-proBNP >200 pg/mL (0.5), LA strain reservoir <25.3% (24.5), and LA strain conduct (0.5) 0 – 44

GRAZ AF Kneihsl et al. [12] Prospective Multivariate regression 150 66.7±15.3 12-month follow-up. Post-TIA/stroke daily pulse control or prolonged continuous rhythm monitoring (median duration 3 weeks). ECG was performed in the case of AF symptoms. IEM was employed in selected 24 of 150 patients 16% ≥30 s Age>75 years (2), prior cortical/cerebellar brain infarcts (2), LV EF<40% (2), supraventricular premature beats on baseline E

Muscari et al. [11] Retrospective Multivariate regression 12-lead ECG and/or continuous ECG monitoring during hospital Age≥75 years (1), hypercholesterolemia (−1), mild-moderate tricuspid regurgitation (1), left ventricular EDV<65 mL (1), and LAE (1) 0.80 (0.73 – 0.87) CHA 2 DS 2 -VASc 0.68 (0.60 – 0.77), P=0.03; STAF 0.71 (0.63 – 0.79), P=0.06; Brown ESUS-AF 0.70 (0.62 – 0.78), P=0.03

ACTEL 123 69.7±13.4 stay 7.3% Any −1 – +4

Table 1. (Continued) Score acronym Study Study design Statistic method for defining AF predictors Sample size (patient number) Age (mean±SD or median [IQR]) Methodology for AF diagnosis AF detection rate Episode duration for AF diagnosis Score variables (point) Score range Score AUC (95% CI) Comparator AUC (95% CI)

Volume 1 Issue 2 (2023) 5 https://doi.org/10.36922/bh.0955