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  3. Impact of Renal Dysfunction on Results of Transcatheter Aortic Valve Replacement Outcomes in a Large Multicenter Cohort.
 

Impact of Renal Dysfunction on Results of Transcatheter Aortic Valve Replacement Outcomes in a Large Multicenter Cohort.

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BORIS DOI
10.7892/boris.89642
Publisher DOI
10.1016/j.amjcard.2016.08.082
PubMed ID
27726854
Description
Patients with advanced chronic renal dysfunction were excluded from randomized trials of transcatheter aortic valve replacement (TAVR). The potential impact of chronic renal disease on TAVR prognosis is not fully understood. We aim to evaluate outcomes within a large cohort of patients who underwent TAVR distinguished by renal function. Baseline characteristics, procedural data, and clinical follow-up findings were collected from 10 high-volume TAVR centers in Europe, Israel, and Japan. Data were analyzed according to renal function. Patients (n = 1,204) were divided into 4 groups according to pre-TAVR-estimated glomerular filtration rate (eGFR): group I (eGFR >60), n = 288 (female 45%), group II (eGFR 31 to 60), n = 452 (female 61%), group III (eGFR ≤30), n = 398 (female 61%), and group IV (dialysis), n = 66 (female 31%). Mean Society of Thoracic Surgeons score was higher in patients with lower preprocedural eGFR. All-cause mortality at 1 year was higher in patients with lower eGFR (9.0%, 12.1%, 24.3%, and 24.2% for group I, II, III, and IV, respectively, p <0.001). Multivariate analysis demonstrated that eGFR ≤30, but not eGFR 31 to 60, was associated with increased risk of death (odds ratio 3), bleeding (odds ratio 5.2), and device implantation failure (hazard ratio 2.28). For each 10 ml/min decrease in eGFR, there was an associated relative increase in the risk of death (35%; p <0.001), cardiovascular death (14%; p = 0.018), major bleeding 35% (p <0.001), and transcatheter valve failure (16%; p = 0.007). Renal dysfunction was not associated with stroke or need for pacemaker implantation. In conclusion, among patients who underwent TAVR, baseline renal dysfunction is an important independent predictor of morbidity and mortality.
Date of Publication
2016-09-15
Publication Type
Article
Subject(s)
600 Technology > 610 Medicine & health
Language(s)
en
Contributor(s)
Codner, Pablo
Levi, Amos
Gargiulo, Giuseppe
Universitätsklinik für Kardiologie
Praz, Fabien Daniel
Universitätsklinik für Kardiologie
Hayashida, Kentaro
Watanabe, Yusuke
Mylotte, Darren
Debry, Nicolas
Barbanti, Marco
Lefèvre, Thierry
Modine, Thomas
Bosmans, Johan
Windecker, Stephan
Universitätsklinik für Kardiologie
Barbash, Israel
Sinning, Jan-Malte
Nickenig, Georg
Barsheshet, Alon
Kornowski, Ran
Additional Credits
Universitätsklinik für Kardiologie
Series
American journal of cardiology
Publisher
Elsevier
ISSN
0002-9149
Access(Rights)
restricted
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