Literature DB >> 25608925

Measurement of AKI biomarkers in the ICU: still striving for appropriate clinical indications.

John R Prowle1.   

Abstract

Mesh：

Year:  2015        PMID： 25608925     DOI： 10.1007/s00134-015-3662-z

Source DB:  PubMed          Journal:  Intensive Care Med        ISSN： 0342-4642            Impact factor:   17.440


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  13 in total

1.  Predictive value of NGAL for use of renal replacement therapy in patients with severe sepsis.

Authors:  P B Hjortrup; N Haase; F Treschow; M H Møller; A Perner
Journal:  Acta Anaesthesiol Scand       Date:  2014-11-02       Impact factor: 2.105

2.  New metrics for assessing diagnostic potential of candidate biomarkers.

Authors:  John W Pickering; Zoltan H Endre
Journal:  Clin J Am Soc Nephrol       Date:  2012-06-07       Impact factor: 8.237

3.  Problems with risk reclassification methods for evaluating prediction models.

Authors:  Margaret S Pepe
Journal:  Am J Epidemiol       Date:  2011-05-09       Impact factor: 4.897

4.  Failure of renal biomarkers to predict worsening renal function in high-risk patients presenting with oliguria.

Authors:  Matthieu Legrand; Aurélien Jacquemod; Etienne Gayat; Corinne Collet; Veronique Giraudeaux; Jean-Marie Launay; Didier Payen
Journal:  Intensive Care Med       Date:  2014-12-03       Impact factor: 17.440

5.  Diagnosis of acute kidney injury using functional and injury biomarkers: workgroup statements from the tenth Acute Dialysis Quality Initiative Consensus Conference.

Authors:  Peter A McCullough; Andrew D Shaw; Michael Haase; Josee Bouchard; Sushrut S Waikar; Edward D Siew; Patrick T Murray; Ravindra L Mehta; Claudio Ronco
Journal:  Contrib Nephrol       Date:  2013-05-13       Impact factor: 1.580

6.  The nature and discriminatory value of urinary neutrophil gelatinase-associated lipocalin in critically ill patients at risk of acute kidney injury.

Authors:  Neil J Glassford; Antoine G Schneider; Shengyuan Xu; Glenn M Eastwood; Helen Young; Leah Peck; Per Venge; Rinaldo Bellomo
Journal:  Intensive Care Med       Date:  2013-08-06       Impact factor: 17.440

Review 7.  Urinary and serum biomarkers for the diagnosis of acute kidney injury: an in-depth review of the literature.

Authors:  Jill Vanmassenhove; Raymond Vanholder; Evi Nagler; Wim Van Biesen
Journal:  Nephrol Dial Transplant       Date:  2012-10-31       Impact factor: 5.992

8.  Oliguria as predictive biomarker of acute kidney injury in critically ill patients.

Authors:  John R Prowle; Yan-Lun Liu; Elisa Licari; Sean M Bagshaw; Moritoki Egi; Michael Haase; Anja Haase-Fielitz; John A Kellum; Dinna Cruz; Claudio Ronco; Kenji Tsutsui; Shigehiko Uchino; Rinaldo Bellomo
Journal:  Crit Care       Date:  2011-07-19       Impact factor: 9.097

9.  Time of injury affects urinary biomarker predictive values for acute kidney injury in critically ill, non-septic patients.

Authors:  Hilde R H de Geus; Gijs Fortrie; Michiel G H Betjes; Ron H N van Schaik; A B Johan Groeneveld
Journal:  BMC Nephrol       Date:  2013-12-09       Impact factor: 2.388

10.  Discovery and validation of cell cycle arrest biomarkers in human acute kidney injury.

Authors:  Kianoush Kashani; Ali Al-Khafaji; Thomas Ardiles; Antonio Artigas; Sean M Bagshaw; Max Bell; Azra Bihorac; Robert Birkhahn; Cynthia M Cely; Lakhmir S Chawla; Danielle L Davison; Thorsten Feldkamp; Lui G Forni; Michelle Ng Gong; Kyle J Gunnerson; Michael Haase; James Hackett; Patrick M Honore; Eric A J Hoste; Olivier Joannes-Boyau; Michael Joannidis; Patrick Kim; Jay L Koyner; Daniel T Laskowitz; Matthew E Lissauer; Gernot Marx; Peter A McCullough; Scott Mullaney; Marlies Ostermann; Thomas Rimmelé; Nathan I Shapiro; Andrew D Shaw; Jing Shi; Amy M Sprague; Jean-Louis Vincent; Christophe Vinsonneau; Ludwig Wagner; Michael G Walker; R Gentry Wilkerson; Kai Zacharowski; John A Kellum
Journal:  Crit Care       Date:  2013-02-06       Impact factor: 9.097
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  13 in total

1.  Validating benefit of biomarker-directed therapy for acute kidney injury: can you have your cake and eat it?

Authors:  J R Prowle; M Schetz
Journal:  Intensive Care Med       Date:  2017-02-16       Impact factor: 17.440

2.  AKI biomarkers are poor discriminants for subsequent need for renal replacement therapy, but do not disqualify them yet.

Authors:  Harm-Jan de Grooth; Jean-Jacques Parienti; Miet Schetz
Journal:  Intensive Care Med       Date:  2018-04-12       Impact factor: 17.440

Review 3.  Focus on acute kidney injury.

Authors:  Miet Schetz; Antoine Schneider
Journal:  Intensive Care Med       Date:  2017-07-03       Impact factor: 17.440

4.  AKIpredictor, an online prognostic calculator for acute kidney injury in adult critically ill patients: development, validation and comparison to serum neutrophil gelatinase-associated lipocalin.

Authors:  Marine Flechet; Fabian Güiza; Miet Schetz; Pieter Wouters; Ilse Vanhorebeek; Inge Derese; Jan Gunst; Isabel Spriet; Michaël Casaer; Greet Van den Berghe; Geert Meyfroidt
Journal:  Intensive Care Med       Date:  2017-01-27       Impact factor: 17.440

5.  Protective role of antithrombin III in suppressing acute responses in a rat model of renal ischemia-reperfusion injury.

Authors:  Alena Firdus; Nesina Avdagić; Muhamed Fočak; Maja Mitrašinović-Brulić; Damir Suljević
Journal:  Mol Cell Biochem       Date:  2022-01-05       Impact factor: 3.396

6.  Utility of Kinetic GFR for Predicting Severe Persistent AKI in Critically Ill Children and Young Adults.

Authors:  Shina Menon; Rajit K Basu; Matthew F Barhight; Stuart L Goldstein; Katja M Gist
Journal:  Kidney360       Date:  2021-03-17

Review 7.  The Intensive Care Medicine research agenda on critically ill oncology and hematology patients.

Authors:  Elie Azoulay; Peter Schellongowski; Michael Darmon; Philippe R Bauer; Dominique Benoit; Pieter Depuydt; Jigeeshu V Divatia; Virginie Lemiale; Maarten van Vliet; Anne-Pascale Meert; Djamel Mokart; Stephen M Pastores; Anders Perner; Frédéric Pène; Peter Pickkers; Kathryn A Puxty; Francois Vincent; Jorge Salluh; Ayman O Soubani; Massimo Antonelli; Thomas Staudinger; Michael von Bergwelt-Baildon; Marcio Soares
Journal:  Intensive Care Med       Date:  2017-07-19       Impact factor: 17.440

8.  A novel risk-predicted nomogram for sepsis associated-acute kidney injury among critically ill patients.

Authors:  Shanglin Yang; Tingting Su; Lina Huang; Lu-Huai Feng; Tianbao Liao
Journal:  BMC Nephrol       Date:  2021-05-10       Impact factor: 2.388

9.  Urine biomarkers give early prediction of acute kidney injury and outcome after out-of-hospital cardiac arrest.

Authors:  Sigrid Beitland; Bård Endre Waldum-Grevbo; Espen Rostrup Nakstad; Jens-Petter Berg; Anne-Marie Siebke Trøseid; Berit Sletbakk Brusletto; Cathrine Brunborg; Geir Øystein Andersen; Kjetil Sunde
Journal:  Crit Care       Date:  2016-10-05       Impact factor: 9.097

10.  High-sensitivity C-reactive protein as a predictive factor of acute kidney injury following aneurysmal subarachnoid hemorrhage: a prospective observational study.

Authors:  Bi-Hui Yang; Qiu He; Chen-Yu Ding; De-Zhi Kang; Qing-Xi Tang
Journal:  Acta Neurochir (Wien)       Date:  2019-07-17       Impact factor: 2.216
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