Literature DB >> 26342047

Kinetic eGFR and Novel AKI Biomarkers to Predict Renal Recovery.

Antoine Dewitte1, Olivier Joannès-Boyau2, Carole Sidobre2, Catherine Fleureau2, Marie-Lise Bats3, Philippe Derache3, Sébastien Leuillet4, Jean Ripoche5, Christian Combe6, Alexandre Ouattara7.   

Abstract

BACKGROUND AND OBJECTIVES: Prompt recognition of severe renal impairment could improve the early management of critically ill patients. We compared the value of kinetic eGFR, plasma neutrophil gelatinase-associated lipocalin (NGAL), and urine tissue inhibitor of metalloproteinase-2 and urine insulin-like growth factor-binding protein 7 ([TIMP-2]*[IGFBP7]) in predicting short-term recovery from AKI and major adverse kidney events. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: During the 6-month study period, 245 patients were admitted to our intensive care unit. This study included 57 consecutive patients presenting with AKI within the first 24 hours after admission. AKI markers were evaluated at inclusion (day 0) and 24 hours later (day 1). Kinetic eGFR was calculated on day 1 according to serum creatinine evolution. Renal recovery was defined as normalization of serum creatinine with reversal of oliguria within 48 hours. Major adverse kidney events included death, need for RRT, or persistence of renal dysfunction at hospital discharge.
RESULTS: Plasma NGAL and [TIMP-2]*[IGFBP7] predicted renal recovery, with area under the receiver-operating characteristic curve (AUC-ROC) values between 0.70 and 0.79 at inclusion. Although plasma NGAL values frequently reached the maximal measurement range, their decrease on day 1 predicted recovery. The kinetic eGFR calculation after initial resuscitation provided the best AUC-ROC value for renal recovery, at 0.87. The best predictions for major adverse kidney events were provided by [TIMP-2]*[IGFBP7] and kinetic eGFR (equal AUC-ROCs of 0.81). Combining AKI markers in addition to clinical prediction models improved the discrimination and reclassification of patients who will recover from AKI or suffer from major adverse kidney events.
CONCLUSIONS: Biomarkers of kidney damage predicted short-term renal recovery and major adverse kidney events for an unselected cohort of critically ill patients. Calculating the kinetic eGFR imposed a delay after initial resuscitation but provided a good diagnostic and prognostic approach. The utility of functional and damage AKI marker combinations in addition to clinical information requires validation in larger prospective studies.
Copyright © 2015 by the American Society of Nephrology.

Entities:  

Keywords:  AKI; Doppler ultrasonography; NGAL; [TIMP-2]*[IGFBP7]; biomarkers; neutrophil gelatinase–associated lipocalin

Mesh:

Substances:

Year:  2015        PMID: 26342047      PMCID: PMC4633802          DOI: 10.2215/CJN.12651214

Source DB:  PubMed          Journal:  Clin J Am Soc Nephrol        ISSN: 1555-9041            Impact factor:   8.237


  39 in total

1.  Renal failure in septic shock: predictive value of Doppler-based renal arterial resistive index.

Authors:  Nicolas Lerolle; Emmanuel Guérot; Christophe Faisy; Caroline Bornstain; Jean-Luc Diehl; Jean-Yves Fagon
Journal:  Intensive Care Med       Date:  2006-08-29       Impact factor: 17.440

Review 2.  Dual action of neutrophil gelatinase-associated lipocalin.

Authors:  Kai M Schmidt-Ott; Kiyoshi Mori; Jau Yi Li; Avtandil Kalandadze; David J Cohen; Prasad Devarajan; Jonathan Barasch
Journal:  J Am Soc Nephrol       Date:  2007-01-17       Impact factor: 10.121

3.  Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond.

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

4.  Short- and long-term survival after acute kidney injury.

Authors:  Sean M Bagshaw
Journal:  Nephrol Dial Transplant       Date:  2008-07       Impact factor: 5.992

5.  Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach.

Authors:  E R DeLong; D M DeLong; D L Clarke-Pearson
Journal:  Biometrics       Date:  1988-09       Impact factor: 2.571

6.  Diagnostic accuracy of Doppler renal resistive index for reversibility of acute kidney injury in critically ill patients.

Authors:  Michael Darmon; Frédérique Schortgen; Frederic Vargas; Aissam Liazydi; Benoît Schlemmer; Christian Brun-Buisson; Laurent Brochard
Journal:  Intensive Care Med       Date:  2010-09-23       Impact factor: 17.440

Review 7.  Biomarkers for the diagnosis and risk stratification of acute kidney injury: a systematic review.

Authors:  S G Coca; R Yalavarthy; J Concato; C R Parikh
Journal:  Kidney Int       Date:  2007-12-19       Impact factor: 10.612

8.  Sensitivity and specificity of a single emergency department measurement of urinary neutrophil gelatinase-associated lipocalin for diagnosing acute kidney injury.

Authors:  Thomas L Nickolas; Matthew J O'Rourke; Jun Yang; Meghan E Sise; Pietro A Canetta; Nicholas Barasch; Charles Buchen; Faris Khan; Kiyoshi Mori; James Giglio; Prasad Devarajan; Jonathan Barasch
Journal:  Ann Intern Med       Date:  2008-06-03       Impact factor: 25.391

9.  RIFLE criteria for acute kidney injury are associated with hospital mortality in critically ill patients: a cohort analysis.

Authors:  Eric A J Hoste; Gilles Clermont; Alexander Kersten; Ramesh Venkataraman; Derek C Angus; Dirk De Bacquer; John A Kellum
Journal:  Crit Care       Date:  2006-05-12       Impact factor: 9.097

10.  Plasma neutrophil gelatinase-associated lipocalin predicts acute kidney injury, morbidity and mortality after pediatric cardiac surgery: a prospective uncontrolled cohort study.

Authors:  Catherine L Dent; Qing Ma; Sudha Dastrala; Michael Bennett; Mark M Mitsnefes; Jonathan Barasch; Prasad Devarajan
Journal:  Crit Care       Date:  2007       Impact factor: 9.097

View more
  44 in total

Review 1.  Subclinical AKI: ready for primetime in clinical practice?

Authors:  Jill Vanmassenhove; Wim Van Biesen; Raymond Vanholder; Norbert Lameire
Journal:  J Nephrol       Date:  2018-12-06       Impact factor: 3.902

Review 2.  Biomarkers for the Early Detection and Prognosis of Acute Kidney Injury.

Authors:  Rakesh Malhotra; Edward D Siew
Journal:  Clin J Am Soc Nephrol       Date:  2016-11-08       Impact factor: 8.237

3.  Predictions are difficult…especially about AKI.

Authors:  Michael Darmon; Marlies Ostermann; Michael Joannidis
Journal:  Intensive Care Med       Date:  2017-02-20       Impact factor: 17.440

4.  Performance of Doppler-based resistive index and semi-quantitative renal perfusion in predicting persistent AKI: results of a prospective multicenter study.

Authors:  Michael Darmon; Aurelie Bourmaud; Marie Reynaud; Stéphane Rouleau; Ferhat Meziani; Alexandra Boivin; Mourad Benyamina; François Vincent; Alexandre Lautrette; Christophe Leroy; Yves Cohen; Matthieu Legrand; Jérôme Morel; Jeremy Terreaux; David Schnell
Journal:  Intensive Care Med       Date:  2018-10-05       Impact factor: 17.440

5.  Acute kidney injury in renal transplant recipients undergoing cardiac surgery.

Authors:  Gregory L Hundemer; Anand Srivastava; Kirolos A Jacob; Neeraja Krishnasamudram; Salman Ahmed; Emily Boerger; Shreyak Sharma; Kapil K Pokharel; Sameer A Hirji; Marc Pelletier; Kassem Safa; Win Kulvichit; John A Kellum; Leonardo V Riella; David E Leaf
Journal:  Nephrol Dial Transplant       Date:  2021-01-01       Impact factor: 5.992

6.  Insulin-like growth factor binding protein 7 and tissue inhibitor of metalloproteinases-2: differential expression and secretion in human kidney tubule cells.

Authors:  David R Emlet; Nuria Pastor-Soler; Allison Marciszyn; Xiaoyan Wen; Hernando Gomez; William H Humphries; Seth Morrisroe; Jacob K Volpe; John A Kellum
Journal:  Am J Physiol Renal Physiol       Date:  2016-12-21

Review 7.  The intensive care medicine agenda on acute kidney injury.

Authors:  Peter Pickkers; Marlies Ostermann; Michael Joannidis; Alexander Zarbock; Eric Hoste; Rinaldo Bellomo; John Prowle; Michael Darmon; Joseph V Bonventre; Lui Forni; Sean M Bagshaw; Miet Schetz
Journal:  Intensive Care Med       Date:  2017-01-30       Impact factor: 17.440

8.  Predictors of 90-Day Restart of Renal Replacement Therapy after Discontinuation of Continuous Renal Replacement Therapy, a Prospective Multicenter Study.

Authors:  Susanne Stads; K Merijn Kant; Margriet F C de Jong; Wouter de Ruijter; Christa M Cobbaert; Michiel G H Betjes; Diederik Gommers; Heleen M Oudemans-van Straaten
Journal:  Blood Purif       Date:  2019-07-22       Impact factor: 2.614

9.  Clinicopathological features of acute kidney injury associated with immune checkpoint inhibitors.

Authors:  Frank B Cortazar; Kristen A Marrone; Megan L Troxell; Kenneth M Ralto; Melanie P Hoenig; Julie R Brahmer; Dung T Le; Evan J Lipson; Ilya G Glezerman; Jedd Wolchok; Lynn D Cornell; Paul Feldman; Michael B Stokes; Sarah A Zapata; F Stephen Hodi; Patrick A Ott; Michifumi Yamashita; David E Leaf
Journal:  Kidney Int       Date:  2016-06-07       Impact factor: 10.612

10.  Clinical Features and Outcomes of Immune Checkpoint Inhibitor-Associated AKI: A Multicenter Study.

Authors:  Frank B Cortazar; Zoe A Kibbelaar; Ilya G Glezerman; Ala Abudayyeh; Omar Mamlouk; Shveta S Motwani; Naoka Murakami; Sandra M Herrmann; Sandhya Manohar; Anushree C Shirali; Abhijat Kitchlu; Shayan Shirazian; Amer Assal; Anitha Vijayan; Amanda DeMauro Renaghan; David I Ortiz-Melo; Sunil Rangarajan; A Bilal Malik; Jonathan J Hogan; Alex R Dinh; Daniel Sanghoon Shin; Kristen A Marrone; Zain Mithani; Douglas B Johnson; Afrooz Hosseini; Deekchha Uprety; Shreyak Sharma; Shruti Gupta; Kerry L Reynolds; Meghan E Sise; David E Leaf
Journal:  J Am Soc Nephrol       Date:  2020-01-02       Impact factor: 10.121

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.