Atrial cardiopathy biomarkers and atrial fibrillation in the ARCADIA trial

Background: ARCADIA compared apixaban to aspirin for secondary stroke prevention in patients with cryptogenic stroke and atrial cardiopathy. One possible explanation for the neutral result is that biomarkers used did not optimally identify atrial cardiopathy. We examined the relationship between biomarker levels and subsequent detection of AF, the hallmark of atrial cardiopathy. Methods: Patients were randomized if they met criteria for atrial cardiopathy, defined as P-wave terminal force >5000 mu V*ms in ECG lead V-1 (PTFV1), NT-proBNP >250 pg/mL, or left atrial diameter index (LADI) >= 3 cm/m(2). For this analysis, the outcome was AF detected per routine care. Results: Of 3745 patients who consented to screening for atrial cardiopathy, 254 were subsequently diagnosed with AF; 96 before they could be randomized and 158 after randomization. In unadjusted analyses, ln(NT-proBNP) (RR per SD, 1.99; 95% CI, 1.85-2.13), PTFV1 (RR per SD, 1.15; 95% CI, 1.03-1.28) and LADI (RR per SD, 1.34; 95% CI, 1.20-1.50) were associated with AF. In a model containing all 3 biomarkers, demographics, and AF risk factors, age (RR per 10 years, 1.24; 95% CI, 1.09-1.41), ln(NT-proBNP) (RR per SD, 1.88; 95% CI, 1.67-2.11) and LADI (RR per SD, 1.25; 95% CI, 1.14-1.37) were associated with AF. These three variables together had a c-statistic of 0.82 (95% CI, 0.79-0.85) but only modest calibration. Discrimination was attenuated in sensitivity analyses of patients eligible for randomization who may have been more closely followed for AF. Conclusions: Biomarkers used to identify atrial cardiopathy in ARCADIA were moderately predictive of subsequent AF.