Literature DB >> 28078828

Biomarkers upon discontinuation of renal replacement therapy predict 60-day survival and renal recovery in critically ill patients with acute kidney injury.

Tingting Yang1, Si Sun1, Yuliang Zhao1, Qiang Liu1, Mei Han1, Liping Lin1, Baihai Su1, Songmin Huang1, Lichuan Yang1.   

Abstract

INTRODUCTION: There is no consensus on the specific indications for weaning critically ill patients with acute kidney injury (AKI) off renal replacement therapy (RRT). This study aimed to explore the prognostic value of several biomarkers measured upon discontinuation of RRT for their value in predicting 60-day survival and renal recovery in an effort to add knowledge to the decision-making process regarding RRT withdrawal.
METHODS: We prospectively enrolled 102 patients with AKI who required RRT from the intensive care unit. Serum osteopontin (sOPN), serum interleukin 6 (sIL-6), serum cystatin C (sCysC), sIL-18, serum neutrophil gelatinase-associated lipocalin and urinary IL-18 and urinary neutrophil gelatinase-associated lipocalin were measured upon discontinuation of RRT. Patients were followed up at 60 days for survival and renal recovery.
FINDINGS: Patients who survived showed lower levels of all serum and urinary biomarkers. Serum OPN (OR 1.029, 95% CI 1.013-1.047, P = 0.001), diabetes (OR 23.157, 95% CI 4.507-118.981, P < 0.001) and APACHE II score (OR 1.308, 95% CI 1.121-1.527, P = 0.001) were independent predictors of 60-day mortality. Patients whose sOPN values fell within the highest and middle tertiles showed 5.25- and 2.31-fold increased risks of mortality, respectively, compared with that of patients in the lowest tertile. The addition of sOPN to the clinical model resulted in significant net reclassification improvement of 0.453 (P = 0.026) and an integrated discriminative index of 0.155 (P = 0.032). Lower levels of sOPN and sIL-6 were associated with greater odds of 60-day survival (AUC 0.812 and 0.741). The AUC value for predicting survival reached its highest level when all biomarkers were combined with urine output (UO) and urinary and serum creatinine upon discontinuation of RRT (0.882). Lower sCysC performed as well as higher UO in predicting 60-day renal recovery with the greatest AUC of 0.743. DISCUSSION: Upon discontinuation of RRT, serum and urinary biomarkers, particularly sOPN, may predict 60-day survival and renal recovery in critically ill patients with AKI. The serum levels of OPN, IL-6 and CysC may be useful when considering withdrawal of RRT on the basis of conventional indicators.
© 2017 International Society for Hemodialysis.

Entities:  

Keywords:  Acute kidney injury; biomarkers; cystatin C; discontinuation of renal replacement therapy; interleukin 6; osteopontin

Mesh:

Substances:

Year:  2017        PMID: 28078828     DOI: 10.1111/hdi.12532

Source DB:  PubMed          Journal:  Hemodial Int        ISSN: 1492-7535            Impact factor:   1.812


  9 in total

1.  Can this patient be safely weaned from RRT?

Authors:  Kada Klouche; R T Noel Gibney; Lui G Forni
Journal:  Intensive Care Med       Date:  2017-10-20       Impact factor: 17.440

Review 2.  Discontinuation of renal replacement therapy in critically ill patients with severe acute kidney injury: predictive factors of renal function recovery.

Authors:  Helmut Schiffl
Journal:  Int Urol Nephrol       Date:  2018-08-02       Impact factor: 2.370

Review 3.  Renal recovery after acute kidney injury.

Authors:  L G Forni; M Darmon; M Ostermann; H M Oudemans-van Straaten; V Pettilä; J R Prowle; M Schetz; M Joannidis
Journal:  Intensive Care Med       Date:  2017-05-02       Impact factor: 17.440

4.  Determining the optimal time for liberation from renal replacement therapy in critically ill patients: protocol for a systematic review and meta-analysis (DOnE RRT).

Authors:  Abdalrhman Al Saadon; Riley Katulka; Meghan Sebastianski; Robin Featherstone; Ben Vandermeer; R T Noel Gibney; Oleksa G Rewa; Sean M Bagshaw
Journal:  BMJ Open       Date:  2018-11-25       Impact factor: 2.692

5.  Determining the optimal time for liberation from renal replacement therapy in critically ill patients: a systematic review and meta-analysis (DOnE RRT).

Authors:  Riley Jeremy Katulka; Abdalrhman Al Saadon; Meghan Sebastianski; Robin Featherstone; Ben Vandermeer; Samuel A Silver; R T Noel Gibney; Sean M Bagshaw; Oleksa G Rewa
Journal:  Crit Care       Date:  2020-02-13       Impact factor: 9.097

Review 6.  State of the Art of Machine Learning-Enabled Clinical Decision Support in Intensive Care Units: Literature Review.

Authors:  Na Hong; Chun Liu; Jianwei Gao; Lin Han; Fengxiang Chang; Mengchun Gong; Longxiang Su
Journal:  JMIR Med Inform       Date:  2022-03-03

7.  Distinct Subtyping of Successful Weaning from Acute Kidney Injury Requiring Renal Replacement Therapy by Consensus Clustering in Critically Ill Patients.

Authors:  Heng-Chih Pan; Chiao-Yin Sun; Thomas Tao-Min Huang; Chun-Te Huang; Chun-Hao Tsao; Chien-Heng Lai; Yung-Ming Chen; Vin-Cent Wu
Journal:  Biomedicines       Date:  2022-07-07

8.  Urine neutrophil gelatinase-associated lipocalin and urine output as predictors of the successful discontinuation of continuous renal replacement therapy in critically ill patients with acute kidney injury.

Authors:  Josefine Thomsen; Ulrik Sprogøe; Palle Toft
Journal:  BMC Nephrol       Date:  2020-08-28       Impact factor: 2.388

Review 9.  Current Approach to Successful Liberation from Renal Replacement Therapy in Critically Ill Patients with Severe Acute Kidney Injury: The Quest for Biomarkers Continues.

Authors:  Helmut Schiffl; Susanne M Lang
Journal:  Mol Diagn Ther       Date:  2020-10-24       Impact factor: 4.074

  9 in total

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