CBS 2019
CBSMD教育中心
English

科学研究

科研文章

荐读文献

Dapagliflozin in Patients with Heart Failure and Reduced Ejection Fraction Clinical applications of machine learning in the diagnosis, classification, and prediction of heart failure Effect of Intravascular Ultrasound-Guided vs Angiography-Guided Everolimus-Eluting Stent Implantation: The IVUS-XPL Randomized Clinical Trial From Subclinical Atherosclerosis to Plaque Progression and Acute Coronary Events Comprehensive intravascular ultrasound assessment of stent area and its impact on restenosis and adverse cardiac events in 403 patients with unprotected left main disease Association Between Functional Impairment and Medication Burden in Adults with Heart Failure Long-Term Durability of Transcatheter Heart Valves: Insights From Bench Testing to 25 Years Comparison of paclitaxel-eluting stents (Taxus) and everolimus-eluting stents (Xience) in left main coronary artery disease with 3 years follow-up (from the ESTROFA-LM registry) The Management of Atrial Fibrillation in Heart Failure: An Expert Panel Consensus Rationale and design of a randomized clinical trial comparing safety and efficacy of Myval transcatheter heart valve versus contemporary transcatheter heart valves in patients with severe symptomatic aortic valve stenosis: the LANDMARK trial

Clinical Trial2021 Apr 11.

JOURNAL:Clin Res Cardiol. Article Link

Incidence, predictors, and outcomes associated with acute kidney injury in patients undergoing transcatheter aortic valve replacement: from the BRAVO-3 randomized trial

J Chandrasekhar, P Anthopoulos, GD Dangas et al. Keywords: 30-day outcomes; AKI; TAVR

ABSTRACT

BACKGROUND - Acute kidney injury (AKI) is not uncommon in patients undergoing transcatheter aortic valve replacement (TAVR).

 

OBJECTIVE - We examined the incidence, predictors, and outcomes of AKI from the BRAVO 3 randomized trial.

 

METHODS - The BRAVO-3 trial included 802 patients undergoing transfemoral TAVR randomized to bivalirudin vs. unfractionated heparin (UFH). The primary endpoint of the trial was Bleeding Academic Research Consortium (BARC) type 3b bleeding at 48 h. Total follow-up was to 30 days. AKI was adjudicated using the modified RIFLE (Valve Academic Research Consortium, VARC 1) criteria through 30-day follow-up, and in a sensitivity analysis AKI was assessed at 7 days (modified VARC-2 criteria). We examined the incidence, predictors, and 30-day outcomes associated with diagnosis of AKI. We also examined the effect of procedural anticoagulant (bivalirudin or unfractionated heparin, UFH) on AKI within 48 h after TAVR.

 

RESULTS - The trial population had a mean age of 82.3 ± 6.5 years including 48.8% women with mean EuroScore I 17.05 ± 10.3%. AKI occurred in 17.0% during 30-day follow-up and was associated with greater adjusted risk of 30-day death (13.0% vs. 3.5%, OR 5.84, 95% CI 2.62-12.99) and a trend for more BARC 3b bleeding (15.1% vs. 8.6%, OR 1.80, 95% CI 0.99-3.25). Predictors of 30-day AKI were baseline hemoglobin, body weight, and pre-existing coronary disease. AKI occurred in 10.7% at 7 days and was associated with significantly greater risk of 30-day death (OR 6.99, 95% CI 2.85-17.15). Independent predictors of AKI within 7 days included pre-existing coronary or cerebrovascular disease, chronic kidney disease (CKD), and transfusion which increased risk, whereas post-dilation was protective. The incidence of 48-h AKI was higher with bivalirudin compared to UFH in the intention to treat cohort (10.9% vs. 6.5%, p = 0.03), but not in the per-protocol assessment (10.7% vs. 7.1%, p = 0.08).

 

CONCLUSION - In the BRAVO 3 trial, AKI occurred in 17% at 30 days and in 10.7% at 7 days. AKI was associated with a significantly greater adjusted risk for 30-day death. Multivariate predictors of AKI at 30 days included baseline hemoglobin, body weight, and prior coronary artery disease, and predictors at 7 days included pre-existing vascular disease, CKD, transfusion, and valve post-dilation. Bivalirudin was associated with greater AKI within 48 h in the intention to treat but not in the per-protocol analysis.