Literature DB >> 11269461

Early and intensive continuous hemofiltration for severe renal failure after cardiac surgery.

P Bent1, H K Tan, R Bellomo, J Buckmaster, L Doolan, G Hart, W Silvester, G Gutteridge, G Matalanis, J Raman, A Rosalion, B F Buxton.   

Abstract

BACKGROUND: The aim of this study was to test whether early and intensive use of continuous venovenous hemofiltration (CVVH) achieved a better than predicted outcome in patients with severe acute renal failure undergoing cardiac operations, and whether a simple and yet accurate model could be developed to predict their outcome before starting CVVH.
METHODS: Medical record analysis with collection of demographic, clinical, and outcome information was used.
RESULTS: Sixty-five consecutive patients were treated with early and intensive CVVH (mean operation to CVVH time, 2.38 days; pump-controlled ultrafiltration rate, 2 L/h) after coronary artery bypass grafting (56.9%), single valve procedure (16.9%), or combined operations (26.2%). In 32.3% of patients, intraaortic balloon counterpulsation was required and 20% of patients were emergencies. Sustained hypotension despite inotropic and vasopressor support occurred in 40% of patients and prolonged mechanical ventilation in 58.5%. Using an outcome prediction score specific for acute renal failure, the predicted risk of death was 66%. Actual mortality was 40% (p = 0.003). Using multivariate logistic regression analysis and neural network analysis, patient outcome could be predicted with good levels of accuracy (receiver operating characteristic 0.89 and 0.9, respectively).
CONCLUSIONS: Early and aggressive CVVH is associated with better than predicted survival in severe acute renal failure after cardiac operations. Using readily available clinical data, the outcome of such patients can be predicted before the implementation of CVVH.

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Year:  2001        PMID: 11269461     DOI: 10.1016/s0003-4975(00)02177-9

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


  9 in total

1.  Risk Factors for Acute Kidney Injury after Cardiovascular Surgery: Evidence from 2,157 Cases and 49,777 Controls - A Meta-Analysis.

Authors:  Qian Yi; Ke Li; Zhao Jian; Ying-Bin Xiao; Lin Chen; Yao Zhang; Rui-Yan Ma
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2.  Acute kidney injury following surgical aortic valve replacement.

Authors:  Marc Najjar; Halit Yerebakan; Robert A Sorabella; Denis J Donovan; Alexander P Kossar; Sowmyashree Sreekanth; Paul Kurlansky; Michael A Borger; Michael Argenziano; Craig R Smith; Isaac George
Journal:  J Card Surg       Date:  2015-06-24       Impact factor: 1.620

3.  Timing of continuous veno-venous hemodialysis in the treatment of acute renal failure following cardiac surgery.

Authors:  Qiang Ji; Yunqing Mei; Xisheng Wang; Jing Feng; Jianzhi Cai; Yongxin Zhou; Yifeng Sun; Shiliang Xie; Dayi Hu
Journal:  Heart Vessels       Date:  2010-11-10       Impact factor: 2.037

4.  Late initiation of renal replacement therapy is associated with worse outcomes in acute kidney injury after major abdominal surgery.

Authors:  Chih-Chung Shiao; Vin-Cent Wu; Wen-Yi Li; Yu-Feng Lin; Fu-Chang Hu; Guang-Huar Young; Chin-Chi Kuo; Tze-Wah Kao; Down-Ming Huang; Yung-Ming Chen; Pi-Ru Tsai; Shuei-Liong Lin; Nai-Kuan Chou; Tzu-Hsin Lin; Yu-Chang Yeh; Chih-Hsien Wang; Anne Chou; Wen-Je Ko; Kwan-Dun Wu
Journal:  Crit Care       Date:  2009-10-30       Impact factor: 9.097

5.  Reverse iontophoresis: a non-invasive technique for measuring blood urea level.

Authors:  Ismail Tuncer Degim; Sibel Ilbasmis; Rusen Dundaroz; Yusuf Oguz
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6.  Acute renal replacement therapy in pediatrics.

Authors:  Rajit K Basu; Derek S Wheeler; Stuart Goldstein; Lesley Doughty
Journal:  Int J Nephrol       Date:  2011-06-01

Review 7.  Postoperative acute kidney injury.

Authors:  Jung Tak Park
Journal:  Korean J Anesthesiol       Date:  2017-05-26

Review 8.  Renal Replacement Therapy in the Critical Care Setting.

Authors:  Adeel Rafi Ahmed; Ayanfeoluwa Obilana; David Lappin
Journal:  Crit Care Res Pract       Date:  2019-07-16

Review 9.  Machine learning methods for perioperative anesthetic management in cardiac surgery patients: a scoping review.

Authors:  Santino R Rellum; Jaap Schuurmans; Ward H van der Ven; Susanne Eberl; Antoine H G Driessen; Alexander P J Vlaar; Denise P Veelo
Journal:  J Thorac Dis       Date:  2021-12       Impact factor: 2.895

  9 in total

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