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File S1 - Excessive Supraventricular Ectopic Activity Is Indicative of Paroxysmal Atrial Fibrillation in Patients with Cerebral Ischemia

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NIAID Data Ecosystem2026-03-07 收录
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https://figshare.com/articles/dataset/_Excessive_Supraventricular_Ectopic_Activity_Is_Indicative_of_Paroxysmal_Atrial_Fibrillation_in_Patients_with_Cerebral_Ischemia_/735407
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Multiple Binary Regression Models. Table S1A. Co-variables based on a predictive model for incident atrial fibrillation (Schnabel et al. [16]). All co-variables forced into the model. Table S1B. Co-variables based on significant baseline differences between groups. All co-variables forced into the model. Table S2. Co-variables based on significant contributors in models in tables S1A & S1B. Stepwise inclusion due to number of co-variables for model S2/1, forced inclusion for models S2/2 and 3 to keep the base model and examine gain by adding ESVEA parameters. Table S3. Based on models in table S2, ESVEA parameters were entered as dichotomised variable (above vs. below median). Table S4A. Based on models in table S2, LAVI/a’ was added as the strongest echocardiographic predictor of PAF. Table S4B. Based on models in table S2, LAVI/a’ was added as the strongest echocardiographic predictor of PAF. (DOCX)
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2015-12-02
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