Literature DB >> 32182351

Preoperative renal malperfusion is an independent predictor for acute kidney injury and operative death but not associated with late mortality after surgery for acute type A aortic dissection.

Kosaku Nishigawa1, Toshihiro Fukui1,2, Kohei Uemura3, Shuichiro Takanashi1, Tomoki Shimokawa1.   

Abstract

OBJECTIVES: This study was aimed to investigate the impact of preoperative renal malperfusion on early and late outcomes after surgery for acute type A aortic dissection (AAAD).
METHODS: Of 915 patients who underwent surgery for AAAD between September 2004 and September 2017, we enrolled 534 patients whose preoperative enhanced computed tomography images were retrospectively available in this study. Exclusion criteria were single kidney (n = 3) and dialysis-dependent preoperatively (n = 12). We compared early and late outcomes between patients who had preoperative renal malperfusion (n = 64) and those who did not have renal malperfusion (n = 470).
RESULTS: The incidence of postoperative acute kidney injury, defined using the Kidney Disease: Improving Global Outcomes criteria, was higher in the renal malperfusion group than in the no renal malperfusion group (76.6% vs 39.4%; P < 0.001). Similarly, operative death was more frequently seen in the renal malperfusion group (12.5% vs 3.8%; P = 0.003). Multivariate analyses showed that renal malperfusion was the independent predictor for postoperative acute kidney injury [odds ratio 4.32, 95% confidence interval (CI) 2.25-8.67; P < 0.001] and operative death (odds ratio 3.08, 95% CI 1.02-8.86; P = 0.046). The median follow-up period in the hospital survivors was 3.3 years (interquartile range 2.1-6.7 years). The cumulative survival rate at 8 years was similar between the groups (74.6% in the renal malperfusion group and 76.0% in the no renal malperfusion group; P = 0.349).
CONCLUSIONS: Preoperative renal malperfusion is an independent predictor for postoperative acute kidney injury and operative death but not associated with late mortality after surgery for acute type A aortic dissection.
© The Author(s) 2020. Published by Oxford University Press on behalf of the European Association for Cardio-Thoracic Surgery. All rights reserved.

Entities:  

Keywords:  Acute aortic dissection; Acute kidney injury; Renal malperfusion

Mesh:

Year:  2020        PMID: 32182351     DOI: 10.1093/ejcts/ezaa063

Source DB:  PubMed          Journal:  Eur J Cardiothorac Surg        ISSN: 1010-7940            Impact factor:   4.191


  6 in total

1.  Admission Lysophosphatidic Acid Is Related to Impaired Kidney Function in Acute Aortic Dissection: 2-Year Retrospective Follow-Up Study.

Authors:  Xiaogao Pan; Guifang Yang; Ning Ding; Wen Peng; Tuo Guo; Mengping Zeng; Xiangping Chai
Journal:  Front Cardiovasc Med       Date:  2022-06-16

2.  Imaging features of renal malperfusion in aortic dissection.

Authors:  Pieter A J van Bakel; Matthew Henry; Karen M Kim; Bo Yang; Joost A van Herwaarden; C Alberto Figueroa; Himanshu J Patel; David M Williams; Nicholas S Burris
Journal:  Eur J Cardiothorac Surg       Date:  2022-03-24       Impact factor: 4.534

3.  Impact of autologous platelet rich plasma use on postoperative acute kidney injury in type A acute aortic dissection repair: a retrospective cohort analysis.

Authors:  Jiaqi Tong; Liang Cao; Liwei Liu; Mu Jin
Journal:  J Cardiothorac Surg       Date:  2021-01-07       Impact factor: 1.637

4.  The effects of DeBakey type acute aortic dissection and preoperative peripheral and cardiac malperfusion on the outcomes after surgical repair.

Authors:  Paolo Nardi; Carlo Bassano; Calogera Pisano; Claudia Altieri; Maria Sabrina Ferrante; Monica Greci; Dario Buioni; Fabio Bertoldo; Andrea Farinaccio; Giovanni Ruvolo
Journal:  Kardiochir Torakochirurgia Pol       Date:  2021-05-15

5.  Ultrasonic Image Features under the Intelligent Algorithm in the Diagnosis of Severe Sepsis Complicated with Renal Injury.

Authors:  Leiming Xu; Xin Wang; Pu Pu; Suhui Li; Yongzheng Shao; Yong Li
Journal:  Comput Math Methods Med       Date:  2022-08-11       Impact factor: 2.809

6.  Prediction model of acute kidney injury after different types of acute aortic dissection based on machine learning.

Authors:  Li Xinsai; Wang Zhengye; Huang Xuan; Chu Xueqian; Peng Kai; Chen Sisi; Jiang Xuyan; Li Suhua
Journal:  Front Cardiovasc Med       Date:  2022-09-21
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.