Literature DB >> 27474335

A Score for Predicting Acute Kidney Injury After Coronary Artery Bypass Graft Surgery in an Asian Population.

Harish Mithiran1, Glenn Kunnath Bonney2, Saideep Bose3, Srinivas Subramanian4, Zan Ng Zhe Yan5, Seth Yeak Zong En5, Evangelos Papadimas6, Ishaan Chauhan6, Graeme MacLaren1, Theodoros Kofidis1.   

Abstract

OBJECTIVE: To develop a scoring system to predict acute kidney injury in Asian patients after coronary artery bypass grafting.
DESIGN: A retrospective analysis of data collected in an institutional cardiac database.
SETTING: A tertiary academic hospital in a large metropolitan city. PARTICIPANTS: The study comprised 954 patients with coronary artery disease.
INTERVENTIONS: All patients underwent coronary artery bypass surgery with cardiopulmonary bypass but did not undergo any other concomitant procedures.
MEASUREMENTS AND MAIN RESULTS: The main outcome measured was acute kidney injury as defined by the Acute Kidney Injury Network criteria. The following 6 clinical variables were independent predictors of kidney injury: age>60 years, diabetes requiring insulin, estimated glomerular filtration rate<60 mL/min/1.73 m(2), ejection fraction<40%, cardiopulmonary bypass time>140 minutes, and aortic cross-clamp time>100 minutes. These variables were used to develop the Singapore Acute Kidney Injury score.
CONCLUSION: The Singapore Acute Kidney Injury score is a simple way to predict, at the time of admission to the intensive care unit, an Asian patient's risk of developing acute kidney injury after coronary artery bypass surgery.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Asian population; acute kidney injury; coronary artery bypass graft; scoring system

Mesh:

Year:  2016        PMID: 27474335     DOI: 10.1053/j.jvca.2016.03.135

Source DB:  PubMed          Journal:  J Cardiothorac Vasc Anesth        ISSN: 1053-0770            Impact factor:   2.628


  1 in total

1.  Activating Transcription Factor 3 Based Early Alarm Model of Acute Kidney Injury after Cardiopulmonary Bypass in Adults.

Authors:  Xiao-Yun Wu; Xiang-Lan Jin; Qiang Liu; Feng Qiu; Jian Zhou
Journal:  Dis Markers       Date:  2022-10-11       Impact factor: 3.464

  1 in total

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