Incidence and Predictors of Acute Kidney Injury Following Transcatheter Aortic Valve Replacement: Role of Changing Definitions of Renal Function and Injury.


Journal

The Journal of invasive cardiology
ISSN: 1557-2501
Titre abrégé: J Invasive Cardiol
Pays: United States
ID NLM: 8917477

Informations de publication

Date de publication:
Apr 2020
Historique:
pubmed: 17 1 2020
medline: 21 8 2021
entrez: 17 1 2020
Statut: ppublish

Résumé

Acute kidney injury (AKI) following transcatheter aortic valve replacement (TAVR) is a known complication. The prospective validation of various AKI definitions and estimated baseline renal function equations in the context of TAVR remains an ongoing area of research. This study examined the Valve Academic Research Consortium (VARC) 1 and 2 criteria for AKI, and impact of three estimated glomerular filtration rate (eGFR) equations (CKD-EPI, MDRD, and Cockcroft-Gault) on AKI incidence in TAVR patients. Retrospective review of 120 consecutive TAVR procedures over a 4-year period was performed. AKI, including stage, was defined using the VARC 1 and VARC 2 criteria. Univariate and multivariate analyses were performed for association between AKI and known patient, hemodynamic, and procedural variables. Further logistic regression, stepwise logistic regression, and association plots were performed for the three different eGFR calculations. AKI occurred in 22% of VARC 1 patients and 23% of VARC 2 patients. On multivariate analysis, baseline eGFR was predictive of stage 1 AKI by CKD-EPI classification (VARC 1: odds ratio [OR], 0.93; 95% confidence interval [CI], 0.88-0.99; P=.02; VARC 2: OR, 0.93; 95% CI, 0.87-0.99; P=.03) and MDRD (OR, 0.93; 95% CI, 0.88-0.99; P=.03). Non-transfemoral approach was predictive of stage 1 AKI by VARC 2 (OR, 33.33; 95% CI, 1.6-696.41; P=.02). The risk factor associations for AKI post TAVR vary by definitions used. Decreased GFR at baseline by both MDRD and CKD-EPI and non-transfemoral approach were associated with an increased risk of AKI post TAVR.

Sections du résumé

BACKGROUND
Acute kidney injury (AKI) following transcatheter aortic valve replacement (TAVR) is a known complication. The prospective validation of various AKI definitions and estimated baseline renal function equations in the context of TAVR remains an ongoing area of research. This study examined the Valve Academic Research Consortium (VARC) 1 and 2 criteria for AKI, and impact of three estimated glomerular filtration rate (eGFR) equations (CKD-EPI, MDRD, and Cockcroft-Gault) on AKI incidence in TAVR patients.
METHODS
Retrospective review of 120 consecutive TAVR procedures over a 4-year period was performed. AKI, including stage, was defined using the VARC 1 and VARC 2 criteria. Univariate and multivariate analyses were performed for association between AKI and known patient, hemodynamic, and procedural variables. Further logistic regression, stepwise logistic regression, and association plots were performed for the three different eGFR calculations.
RESULTS
AKI occurred in 22% of VARC 1 patients and 23% of VARC 2 patients. On multivariate analysis, baseline eGFR was predictive of stage 1 AKI by CKD-EPI classification (VARC 1: odds ratio [OR], 0.93; 95% confidence interval [CI], 0.88-0.99; P=.02; VARC 2: OR, 0.93; 95% CI, 0.87-0.99; P=.03) and MDRD (OR, 0.93; 95% CI, 0.88-0.99; P=.03). Non-transfemoral approach was predictive of stage 1 AKI by VARC 2 (OR, 33.33; 95% CI, 1.6-696.41; P=.02).
CONCLUSIONS
The risk factor associations for AKI post TAVR vary by definitions used. Decreased GFR at baseline by both MDRD and CKD-EPI and non-transfemoral approach were associated with an increased risk of AKI post TAVR.

Identifiants

pubmed: 31941833
pii: JIC20200115-1
pii:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

138-141

Auteurs

Anand Prasad (A)

Interventional Cardiology and Vascular Medicine, Department of Medicine, Division of Cardiology, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, MC 7872, San Antonio, TX 78229-3900 USA. anandprasadmd@gmail.com.

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