Validation of the Valve Academic Research Consortium Bleeding Definition in Patients With Severe Aortic Stenosis Undergoing Transcatheter Aortic Valve Implantation. Issue 10 (25th September 2015)

• Record Type: Journal Article
• Authors: Stortecky, Stefan; Stefanini, Giulio G.; Pilgrim, Thomas; Heg, Dik; Praz, Fabien; Luterbacher, Fabienne; Piccolo, Raffaele; Khattab, Ahmed A.; Räber, Lorenz; Langhammer, Bettina; Huber, Christoph; Meier, Bernhard; Jüni, Peter; Wenaweser, Peter; Windecker, Stephan
• Is Part Of: Journal of the American Heart Association. Volume 4:Issue 10(2015)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2015-09-25
• Subjects: bleeding -- complication -- TAVI -- transcatheter aortic valve implantation -- transcatheter aortic valve intervention -- Valve Academic Research Consortium; Heart -- Diseases -- Periodicals; Cardiovascular system -- Diseases -- Periodicals; Cerebrovascular disease -- Periodicals; Cardiology -- Periodicals; 616.1
• DOI: 10.1161/JAHA.115.002135
• Languages: English
• ISSNs: 2047-9980

Abstract

Abstract : Background: The Valve Academic Research Consortium (VARC) has proposed a standardized definition of bleeding in patients undergoing transcatheter aortic valve interventions (TAVI). The VARC bleeding definition has not been validated or compared to other established bleeding definitions so far. Thus, we aimed to investigate the impact of bleeding and compare the predictivity of VARC bleeding events with established bleeding definitions. Methods and Results: Between August 2007 and April 2012, 489 consecutive patients with severe aortic stenosis were included into the Bern‐TAVI‐Registry. Every bleeding complication was adjudicated according to the definitions of VARC, BARC, TIMI, and GUSTO. Periprocedural blood loss was added to the definition of VARC, providing a modified VARC definition. A total of 152 bleeding events were observed during the index hospitalization. Bleeding severity according to VARC was associated with a gradual increase in mortality, which was comparable to the BARC, TIMI, GUSTO, and the modified VARC classifications. The predictive precision of a multivariable model for mortality at 30 days was significantly improved by adding the most serious bleeding of VARC (area under the curve [AUC], 0.773; 95% confidence interval [CI], 0.706 to 0.839), BARC (AUC, 0.776; 95% CI, 0.694 to 0.857), TIMI (AUC, 0.768; 95% CI, 0.692 to 0.844), and GUSTO (AUC, 0.791; 95% CI, 0.714 to 0.869), with the modified VARC definition resulting in the best predictivity (AUC, 0.814; 95% CI, 0.759 to 0.870). Conclusions: The VARC bleeding definition offers a severity stratification that is associated with a gradual increase in mortality and prognostic information comparable to established bleeding definitions. Adding the information of periprocedural blood loss to VARC may increase the sensitivity and the predictive power of this classification.