Literature DB >> 29501641

Acute Kidney Injury Classification Underestimates Long-Term Mortality After Cardiac Valve Operations.

Hjalmar R Bouma1, Hubert E Mungroop2, A Fred de Geus2, Daniel D Huisman2, Maarten W N Nijsten3, Massimo A Mariani4, Thomas W L Scheeren2, Johannes G M Burgerhof5, Robert H Henning6, Anne H Epema2.   

Abstract

BACKGROUND: Perioperative acute kidney injury (AKI) is an important predictor of long-term all-cause mortality after coronary artery bypass (CABG). However, the effect of AKI on long-term mortality after cardiac valve operations is hitherto undocumented.
METHODS: Perioperative renal injury and long-term all-cause mortality after valve operations were studied in a prospective cohort of patients undergoing solitary valve operations (n = 2,806) or valve operations combined with CABG (n = 1,260) with up to 18 years of follow-up. Postoperative serum creatinine increase was classified according to AKI staging 0 to 3. Patients undergoing solitary CABG (n = 4,938) with cardiopulmonary bypass served as reference.
RESULTS: In both valve and valve+CABG operations, postoperative renal injury of AKI stage 1 or higher was progressively associated with an increase in long-term mortality (hazard ratio [HR], 2.27, p < 0.05 for valve; HR, 1.65, p < 0.05 for valve+CABG; HR, 1.56, p < 0.05 for CABG). Notably, the mortality risk increased already substantially at serum creatinine increases of 10% to 25%-that is, far below the threshold for AKI stage 1 after valve operations (HR, 1.39, p < 0.05), but not after valve operations combined with CABG or CABG only.
CONCLUSIONS: An increase in serum creatinine by more than 10% during the first week after valve operation is associated with an increased risk for long-term mortality after cardiac valve operation. Thus, AKI classification clearly underestimates long-term mortality risk in patients undergoing valve operations.
Copyright © 2018 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.

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Year:  2018        PMID: 29501641     DOI: 10.1016/j.athoracsur.2018.01.066

Source DB:  PubMed          Journal:  Ann Thorac Surg        ISSN: 0003-4975            Impact factor:   4.330


  6 in total

1.  Serum alpha 1-antitrypsin predicts severe acute kidney injury after cardiac surgery.

Authors:  Songlin Du; Jianwei Tian; Zhiwen Xiao; Zhiwen Luo; Tong Lin; Shaoyi Zheng; Jun Ai
Journal:  J Thorac Dis       Date:  2019-12       Impact factor: 2.895

2.  Improved creatinine-based early detection of acute kidney injury after cardiac surgery.

Authors:  Ferdinand Vogt; Janez Zibert; Alenka Bahovec; Francesco Pollari; Joachim Sirch; Matthias Fittkau; Thomas Bertsch; Martin Czerny; Giuseppe Santarpino; Theodor Fischlein; Jurij M Kalisnik
Journal:  Interact Cardiovasc Thorac Surg       Date:  2021-06-28

3.  Ensemble machine learning prediction and variable importance analysis of 5-year mortality after cardiac valve and CABG operations.

Authors:  José Castela Forte; Hubert E Mungroop; Fred de Geus; Maureen L van der Grinten; Hjalmar R Bouma; Ville Pettilä; Thomas W L Scheeren; Maarten W N Nijsten; Massimo A Mariani; Iwan C C van der Horst; Robert H Henning; Marco A Wiering; Anne H Epema
Journal:  Sci Rep       Date:  2021-02-10       Impact factor: 4.379

4.  Comparison of renal region, cerebral and peripheral oxygenation for predicting postoperative renal impairment after CABG.

Authors:  Ilonka N de Keijzer; Marieke Poterman; Anthony R Absalom; Jaap Jan Vos; Massimo A Mariani; Thomas W L Scheeren
Journal:  J Clin Monit Comput       Date:  2021-04-20       Impact factor: 1.977

5.  Mild hypothermia during cardiopulmonary bypass assisted CABG is associated with improved short- and long-term survival, a 18-year cohort study.

Authors:  K D W Hendriks; J N Castela Forte; W F Kok; H E Mungroop; H R Bouma; T W L Scheeren; M Mariani; R H Henning; A H Epema
Journal:  PLoS One       Date:  2022-08-25       Impact factor: 3.752

6.  Comparison of acute kidney injury between open and laparoscopic pylorus-preserving pancreaticoduodenectomy: Propensity score analysis.

Authors:  Yong-Seok Park; In-Gu Jun; Yonji Go; Jun-Gol Song; Gyu-Sam Hwang
Journal:  PLoS One       Date:  2018-08-24       Impact factor: 3.240

  6 in total

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