Abstract

Severe bleeding (SB) in patients who underwent transcatheter aortic valve implantation (TAVI) could be fatal. Although multiple independent predictors of bleeding post-TAVI have been identified, the definitions of bleeding and predictors vary across studies. This study aimed to provide summary effect estimates for predictors of SB within 30days post-TAVI. A systematic review of studies that reported the incidence of bleeding post-TAVI with raw data for predictors of interest was performed. Data on characteristics of study, patient, and procedure were extracted. Crude risk ratios (RRs) and 95% confidence intervals were calculated using random-effect model. Fifteen predictors on 65,209 patients from 47 studies were analyzed. The median rate of SB was 11% across studies. Seven factors (3 patient related and 4 procedure related) were recognized as predictors of early SB post-TAVI. Age ≥90 years (RR 1.17; p= 0.008), female (RR 1.13; p= 0.01), and sheath diameter >19 Fr (RR 1.19; p= 0.04) were weak predictors. Chronic kidney disease (RR 1.94; p <0.001) and transapical (TA) (RR 1.82; p <0.001) were moderate predictors that were almost associated with twofold risk. Vascular complication (RR 2.97; p <0.001) and circulatory support (RR 3.39; p <0.001) were strong predictors that were nearly associated with threefold risk. In conclusion, age, gender, chronic kidney disease, TA, sheath diameter, vascular complication, and circulatory support were all predictors of early SB post-TAVI in this meta-analysis, which provided possible guidance for prevention and management of SB related to TAVI.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.