Literature DB >> 33441876

The predictive value of TIMP-2 and IGFBP7 for kidney failure and 30-day mortality after elective cardiac surgery.

Kevin Esmeijer1,2, Abraham Schoe3, L Renee Ruhaak4, Ellen K Hoogeveen5,6, Darius Soonawala5,7, Fred P H T M Romijn3, Maryam R Shirzada5, Jaap T van Dissel3, Christa M Cobbaert4, Johan W de Fijter5.   

Abstract

Acute kidney injury (AKI) is an important risk factor for chronic kidney disease, renal replacement therapy (RRT), and mortality. However, predicting AKI with currently available markers remains problematic. We assessed the predictive value of urinary tissue inhibitor of metalloprotease-2 (TIMP-2) and insulin-like growth factor-binding protein 7 (IGFBP7) regarding the need for RRT, and 30-day mortality, in elective cardiac surgery patients. In 344 elective cardiac surgery patients, we measured urinary TIMP-2 and IGFBP7 and serum creatinine at baseline and directly after surgery. Discrimination of both urinary biomarkers was assessed by the C-statistic. Model improvement for each biomarker when added to a basic model containing serum creatinine and duration of surgery was tested by the net-reclassification index (cf-NRI) and integrated discrimination index (IDI). At baseline, mean age was 66 years and 67% were men. Of all patients, 22 required RRT following surgery. IGFBP7 pre- and post-surgery and change in TIMP-2 during surgery predicted RRT with a C-statistic of about 0.80. However, a simple model including baseline serum creatinine and duration of surgery had a C-statistic of 0.92, which was improved to 0.93 upon addition of post-surgery TIMP-2 or IGFBP7, with statistically significant cf-NRIs but non-significant IDIs. Post-surgery TIMP-2 and IGFBP predicted 30-day mortality, with C-statistics of 0.74 and 0.80. In conclusion, in elective cardiac surgery patients, pre- and peri-operative clinical variables were highly discriminating about which patients required RRT after surgery. Nonetheless, in elective cardiac surgery patients, urinary TIMP-2 and IGFBP7 improved prediction of RRT and 30-day mortality post-surgery.

Entities:  

Year:  2021        PMID: 33441876      PMCID: PMC7806984          DOI: 10.1038/s41598-020-80196-2

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  31 in total

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Authors:  Michael J Pencina; Ralph B D'Agostino; Ralph B D'Agostino; Ramachandran S Vasan
Journal:  Stat Med       Date:  2008-01-30       Impact factor: 2.373

2.  KDIGO clinical practice guidelines for acute kidney injury.

Authors:  Arif Khwaja
Journal:  Nephron Clin Pract       Date:  2012-08-07

3.  Net reclassification index: measuring the incremental value of adding a new risk factor to an existing risk model.

Authors:  Gary L Grunkemeier; Ruyun Jin
Journal:  Ann Thorac Surg       Date:  2015-02       Impact factor: 4.330

4.  Comments on the Review 'Biomarkers in acute kidney injury - pathophysiological basis and clinical performance' Acta Physiol 2017, 219, 556-574: an update on kidney localization of IGFBP7 and TIMP2.

Authors:  D R Emlet; X Wen; J A Kellum
Journal:  Acta Physiol (Oxf)       Date:  2017-08-30       Impact factor: 6.311

5.  Tissue Inhibitor Metalloproteinase-2 (TIMP-2)⋅IGF-Binding Protein-7 (IGFBP7) Levels Are Associated with Adverse Long-Term Outcomes in Patients with AKI.

Authors:  Jay L Koyner; Andrew D Shaw; Lakhmir S Chawla; Eric A J Hoste; Azra Bihorac; Kianoush Kashani; Michael Haase; Jing Shi; John A Kellum
Journal:  J Am Soc Nephrol       Date:  2014-12-22       Impact factor: 10.121

6.  Multiple imputation using chained equations: Issues and guidance for practice.

Authors:  Ian R White; Patrick Royston; Angela M Wood
Journal:  Stat Med       Date:  2010-11-30       Impact factor: 2.373

Review 7.  Acute kidney injury: an increasing global concern.

Authors:  Norbert H Lameire; Arvind Bagga; Dinna Cruz; Jan De Maeseneer; Zoltan Endre; John A Kellum; Kathleen D Liu; Ravindra L Mehta; Neesh Pannu; Wim Van Biesen; Raymond Vanholder
Journal:  Lancet       Date:  2013-05-31       Impact factor: 79.321

8.  Assessment of cell-cycle arrest biomarkers to predict early and delayed acute kidney injury.

Authors:  Max Bell; Anders Larsson; Per Venge; Rinaldo Bellomo; Johan Mårtensson
Journal:  Dis Markers       Date:  2015-03-18       Impact factor: 3.434

9.  Urinary [TIMP-2]*[IGFBP7] for early prediction of acute kidney injury after coronary artery bypass surgery.

Authors:  Kevin Pilarczyk; Michaela Edayadiyil-Dudasova; Daniel Wendt; Ender Demircioglu; Jaroslav Benedik; Daniel Sebastian Dohle; Heinz Jakob; Fabian Dusse
Journal:  Ann Intensive Care       Date:  2015-12-15       Impact factor: 6.925

10.  Early prediction of acute kidney injury after transapical and transaortic aortic valve implantation with urinary G1 cell cycle arrest biomarkers.

Authors:  Fabian Dusse; Michaela Edayadiyil-Dudásova; Matthias Thielmann; Daniel Wendt; Philipp Kahlert; Ender Demircioglu; Heinz Jakob; Simon T Schaefer; Kevin Pilarczyk
Journal:  BMC Anesthesiol       Date:  2016-09-08       Impact factor: 2.217

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  2 in total

1.  Evaluation of acute kidney injury by urinary tissue inhibitor metalloproteinases-2 and insulin-like growth factor-binding protein 7 after pediatric cardiac surgery.

Authors:  Yue Tao; Fabienne Heskia; Mingjie Zhang; Rong Qin; Bin Kang; Luoquan Chen; Fei Wu; Jihong Huang; Karen Brengel-Pesce; Huiwen Chen; Xi Mo; Ji Liang; Wei Wang; Zhuoming Xu
Journal:  Pediatr Nephrol       Date:  2022-02-24       Impact factor: 3.651

2.  Machine learning in predicting cardiac surgery-associated acute kidney injury: A systemic review and meta-analysis.

Authors:  Zhe Song; Zhenyu Yang; Ming Hou; Xuedong Shi
Journal:  Front Cardiovasc Med       Date:  2022-09-15
  2 in total

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