Renal-Resistive Index for Prediction of Acute Kidney Injury in the Setting of Aortic Insufficiency.

acute kidney injury aortic insufficiency aortic regurgitation renal resistive index transesophageal echocardiography

Journal

Journal of cardiothoracic and vascular anesthesia
ISSN: 1532-8422
Titre abrégé: J Cardiothorac Vasc Anesth
Pays: United States
ID NLM: 9110208

Informations de publication

Date de publication:
12 2021
Historique:
received: 31 07 2021
accepted: 22 08 2021
pubmed: 23 9 2021
medline: 8 1 2022
entrez: 22 9 2021
Statut: ppublish

Résumé

Acute kidney injury (AKI) is a common postoperative complication after cardiac surgery with cardiopulmonary bypass (CPB), and leads to significant morbidity, mortality, and cost. Although early recognition and management of AKI may reduce the burden of renal disease, reliance on serum creatinine accumulation to confidently diagnose it leads to a significant and important delay (up to 48 hours). Hence, a search for earlier AKI biomarkers is warranted. The renal-resistive index (RRI) is a promising early AKI biomarker that reflects intrarenal arterial pulsatility as reflected by the peak systolic and end-diastolic blood velocities divided by the peak systolic velocity. During cardiac surgery, post-CPB elevation of RRI is correlated with renal injury. The RRI is influenced by intrarenal and extrarenal factors, as well as different hemodynamic states. Understanding its limitations may increase its usefulness as an early AKI biomarker. For example, tachycardia or aortic stenosis typically results in a lower RRI, whereas bradycardia or increased systemic pulse pressure (as seen with aortic insufficiency) are associated with a higher RRI, unrelated to any intrarenal effects. In this E-Challenge, the authors present two cases in which the RRI was used to evaluate a patient's risk of developing AKI.

Identifiants

pubmed: 34548205
pii: S1053-0770(21)00707-2
doi: 10.1053/j.jvca.2021.08.034
pii:
doi:

Substances chimiques

Creatinine AYI8EX34EU

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

3819-3825

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2021 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Conflict of Interest None.

Auteurs

Andre F Gosling (AF)

Department of Anesthesiology, Duke University School of Medicine, Durham, NC. Electronic address: andrefiche@gmail.com.

Benjamin Y Andrew (BY)

Department of Anesthesiology, Duke University School of Medicine, Durham, NC.

Mark Stafford-Smith (M)

Department of Anesthesiology, Duke University School of Medicine, Durham, NC.

Alina Nicoara (A)

Department of Anesthesiology, Duke University School of Medicine, Durham, NC.

Anne D Cherry (AD)

Department of Anesthesiology, Duke University School of Medicine, Durham, NC.

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Classifications MeSH