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Catheter Ablation in Combination With Left Atrial Appendage Closure for Atrial Fibrillation
Published on: February 26, 2013
Incremental prognostic value of renal function for stroke prediction in atrial fibrillation
Emily C O'Brien1, DaJuanicia N Holmes1, Laine Thomas1
1Duke Clinical Research Institute, Durham, NC, United States of America.
Background:
Renal function has been associated with an increased stroke risk in patients with atrial fibrillation (AF). However, whether renal function incrementally adds to risk prediction in both anticoagulated and non-anticoagulated patients with AF is unclear.
Methods:
We used data from the Outcomes Registry for Better Informed Treatment of AF (ORBIT-AF)-a national, prospective, outpatient AF registry in patients aged >18 years (2010-2011). The association between baseline renal function and risk of stroke/systemic embolism (SSE) was evaluated in proportional hazards models adjusting for stroke risk score components. We compared discrimination of 2-year outcomes using C-indices and evaluated calibration by comparing event rates in ORBIT-AF to published rates from an external clinical trial population (ROCKET AF) and an observational cohort (ATRIA).
Results:
Among 9743 patients included in the analysis, the median age was 75 years (interquartile range [IQR] 67-82), 89.5% were white, 43% were female, and 76% were taking oral anticoagulation (OAC). Over a median follow-up of 2.3 years, 214 SSE events occurred (1.00 per 100 patient-years). Continuous creatinine clearance (CrCl) was not associated with SSE risk after adjusting for other clinical factors (components of CHADS2 or CHA2DS2-VASc). Discrimination for predicting stroke (C-index; 95% CI) was similar for R2CHADS2 (0.65; 0.61-0.69), CHADS2 (0.65; 0.61-0.69), and CHA2DS2-VASc (0.66; 0.62-0.70).
Conclusions And Relevance:
In a community patient population with AF, renal dysfunction was not independently associated with embolic risk beyond other established risk factors in either OAC-treated or untreated patients. Additional study is needed to identify clinical factors that incrementally add to stroke risk prediction.
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