open access

Online first
Original article
Published online: 2021-04-06
Get Citation

A simplified acute kidney injury predictor following transcatheter aortic valve implantation: the ACEF score

Begum Uygur, Omer Celik, Ali Riza Demir, Ahmet Anil Sahin, Ahmet Guner, Yalcin Avci, Umit Bulut, Omer Tasbulak, Gokhan Demirci, Fatih Uzun, Ali Kemal Kalkan, Mehmet Erturk
Pubmed: 33871229

open access

Online first
Original article
Published online: 2021-04-06

Abstract

ABSTRACT Background: Transcatheter aortic valve implantation ( is an effective, less invasive treatment alternative for symptomatic severe aortic stenosis ( Acute kidney injury ( following TAVI is a common complication and is associated with worse outcomes. ACEF age, creatinine, ejection fraction) score is a simple scoring method, including only three parameters; a ge, creatinine, and ejection fraction ( The score was well established in predicting AKI after coronary interventions. Aims: We aimed to evaluate whether this simple scoring method, ACEF, may predict a development of AKI in patients who underwent TAVI. Methods: A total o f 173 consecutive patients with symptomatic severe AS who underwent TAVI were included retrospectively. The p rimary endpoint of the study was the development of AKI. Study population was divided into two groups according to the presence of AKI. ACEF score was calculated by the formula of age EF + 1 (if baseline creatinine > 2 mg/dL). Results: 29 patients developed AKI. The median (Q1 - Q3) ACEF score was 1.36 (1.20 - 1.58). ACEF score was found to be an independent predictor of AKI P < 0.001). ACEF score ≥1.36 predicted AKI development with a sensitivity of 96.6%, specificity of 58.8%. Moreover, hypertension, hemoglobin levels, contrast volume, and aortic valve area ( were found to be independent predictors of AKI. Conclusions: Our study revealed tha t the ACEF score was an independent predictor of AKI. A simple and objective score might be very useful in predicting AKI development in patients undergoing TAVI.

Abstract

ABSTRACT Background: Transcatheter aortic valve implantation ( is an effective, less invasive treatment alternative for symptomatic severe aortic stenosis ( Acute kidney injury ( following TAVI is a common complication and is associated with worse outcomes. ACEF age, creatinine, ejection fraction) score is a simple scoring method, including only three parameters; a ge, creatinine, and ejection fraction ( The score was well established in predicting AKI after coronary interventions. Aims: We aimed to evaluate whether this simple scoring method, ACEF, may predict a development of AKI in patients who underwent TAVI. Methods: A total o f 173 consecutive patients with symptomatic severe AS who underwent TAVI were included retrospectively. The p rimary endpoint of the study was the development of AKI. Study population was divided into two groups according to the presence of AKI. ACEF score was calculated by the formula of age EF + 1 (if baseline creatinine > 2 mg/dL). Results: 29 patients developed AKI. The median (Q1 - Q3) ACEF score was 1.36 (1.20 - 1.58). ACEF score was found to be an independent predictor of AKI P < 0.001). ACEF score ≥1.36 predicted AKI development with a sensitivity of 96.6%, specificity of 58.8%. Moreover, hypertension, hemoglobin levels, contrast volume, and aortic valve area ( were found to be independent predictors of AKI. Conclusions: Our study revealed tha t the ACEF score was an independent predictor of AKI. A simple and objective score might be very useful in predicting AKI development in patients undergoing TAVI.
Get Citation
Supp./Additional Files (1)
Supplementary file 1
Download
246KB
About this article
Title

A simplified acute kidney injury predictor following transcatheter aortic valve implantation: the ACEF score

Journal

Kardiologia Polska (Polish Heart Journal)

Issue

Online first

Article type

Original article

Published online

2021-04-06

Pubmed

33871229

Authors

Begum Uygur
Omer Celik
Ali Riza Demir
Ahmet Anil Sahin
Ahmet Guner
Yalcin Avci
Umit Bulut
Omer Tasbulak
Gokhan Demirci
Fatih Uzun
Ali Kemal Kalkan
Mehmet Erturk

Important: This website uses cookies. More >>

The cookies allow us to identify your computer and find out details about your last visit. They remembering whether you've visited the site before, so that you remain logged in - or to help us work out how many new website visitors we get each month. Most internet browsers accept cookies automatically, but you can change the settings of your browser to erase cookies or prevent automatic acceptance if you prefer.

By VM Media Sp. z o.o. VM Group Sp.k., ul. Świętokrzyska 73 , 80–180 Gdańsk, Poland

phone:+48 58 320 94 94, fax:+48 58 320 94 60, e-mail: viamedica@viamedica.pl