DEFINE AFib Atrial Fibrillation - Development of a Predictive Model for Future Health Care Utilization From Measurements Collected From an Implantable Cardiac Monitor.

Healthcare Utilization Where AF Was a Reason or a Suspected Reason for the Healthcare Interaction.

时间窗: Through study completion (2 years of enrollment, up to 2.6 years of follow-up)

Primary objective is to evaluate whether summary and episodic measurements collected by market-released LINQ ICMs are able to predict increased AF-related healthcare utilization (HCU), which are confirmed healthcare visits in the inpatient hospital, outpatient hospital, clinic/office, emergency department, or other care location (including remote visits) where AF was a reason or suspected reason for healthcare interaction. A predictive model was trained on 70% of the patients with adequate data available and assessed in a validation data set of the remaining 30% of patients, using rolling 60 day blocks. In each block, measurements in the first 30 days were used to predict whether confirmed HCU occurred in the trailing 30 days. Predictive value was assessed using sensitivity, specificity and other measurements within a confusion matrix as well as an area under the receiver operator curve, balancing the sensitivity and specificity. Outcome measure entered here will be AUROC.