Literature DB >> 29378645

Back-to-back comparison of penKID with NephroCheck® to predict acute kidney injury at admission in intensive care unit: a brief report.

Etienne Gayat1,2,3, Cyril Touchard1,2,3, Alexa Hollinger4,5,6,7, Antoine Vieillard-Baron8, Alexandre Mebazaa1,2,3, Matthieu Legrand1,2,3.   

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Year:  2018        PMID: 29378645      PMCID: PMC5789637          DOI: 10.1186/s13054-018-1945-9

Source DB:  PubMed          Journal:  Crit Care        ISSN: 1364-8535            Impact factor:   9.097


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Acute kidney injury (AKI) is a frequent condition in critically ill patients that affects both short- and long-term outcome [1]. Its early detection remains a challenge, and diagnosis frequently occurs too late with cell damage already present. Implementation of novel biomarkers that reliably identify patients at risk or at an early stage of AKI could offer more efficient management strategies leading to better outcomes. In our investigation, we compared two promising AKI biomarkers: a marker of tubular injury commercialized as a lateral-flow test (NephroCheck®) [2], the product of urinary TIMP-2 (Tissue inhibitor of metalloprotease), and IGFBP 7 (Insulin-like growth factor binding protein; overall TIMP2xIGFBP7), and the filtration marker proenkephalin A 119-159 (penKid). penKid has been recently described as a valuable plasma biomarker of AKI in the acutely ill, including septic patients [3] and patients suffering from acute heart failure [4]. Proenkephalin represents a stable surrogate analyte of labile enkephalins, which are known as endogenous opioids, but also affects kidney function [5]. The aim of our study was to conduct a parallel assessment of the two biomarkers in an intensive care unit (ICU) population from the data of the FROG-ICU study. FROG-ICU has been designed to better understand long-term outcome after ICU discharge as well as risk factors for all-cause and cardiovascular morbidity and associated mortality (FROG-ICU study, ClinicalTrials.gov identifier NCT01367093). It was a large prospective multicenter cohort study with biological (plasma and urine) collection and one-year follow-up of ICU patients. FROG-ICU aims to allow risk stratification of ICU survivors in order to recognize the subset of patients who may benefit from early intervention to allow decreased cardiovascular morbidity and related mortality. The methodology of the FROG-ICU study was published in 2015. From the FROG study including 2087 critically ill patients we randomly selected 200 requiring mechanical ventilation or vasopressor support for more than 24 h with respect to the four categories of the renal Sequential Organ Failure Assessment (SOFA) score (i.e., creatinine level on admission of < 1.2 mg/dL (n = 80), 1.2 to 1.9 mg/dL (n = 40), 2 to 3.4 mg/dL (n = 40), and ≥ 3.5 mg/dL (n = 40)); 78% were male, with a median age of 65 years (interquartile range (IQR) 54–75). In the investigated cohort of a standard population of critically ill, the main cause of ICU admission was septic shock (26%), the median age was 65 years (IQR 54–75), the median SAPS II score was 51 (IQR 41–68), and the ICU mortality was 26%. Other causes of admission include out-of-hospital cardiac arrest (10%), acute respiratory failure (16%), acute neurological disorder (11%), and cardiogenic shock (8%). On ICU admission, the median (and IQR) value of estimated glomerular filtration rate for penKid and TIMP2xIGFBP7 was 47 mL/min (22–88), 85 pmol/L (48–40), and 0.6 UNIT (0.3–2), respectively. AKI was defined using the Kidney Disease Improvement Global Outcome (KDIGO) definition. Accordingly, we used both the variation in serum creatinine during the first 48 h after ICU admission and the maximal value during the 7 days following ICU admission. Admission serum creatinine was used as baseline serum creatinine when the estimated glomerular filtration rate (eGFR) was above 60 ml/min/1.73 m2 at admission. Otherwise (n = 117, 59% of the study population), baseline serum creatinine was extrapolated considering a baseline eGFR of 75 ml/min/1.73 m2 (based on the MDRD (Modification of Diet in Renal Disease) equation). Both penKid and TIMP2xIGFBP7 were measured on ICU admission in plasma and urine. We assessed the conformity of penKid and TIMP2xIGFBP7 for prediction or detection of AKI as defined by the KDIGO classification, with the renal SOFA score, by the area under the ROC curve. On ICU admission, the median (and IQR) value of eGFR for penKid and NephroCheck® was 47 mL/min/1.73 m2 (22–88), 85 pmol/L (48–40), and 0.6 UNIT (0.3–2), respectively. Figure 1 shows correlation of penKid and TIMP2xIGFBP7 levels on ICU admission with the severity of AKI, and confirms that penKid as a filtration marker shows a significantly higher association with AKI (ROC curve 0.668 (95% CI 0.589–0.743) vs 0.908 (95% CI 0.868–0.944), p < 0.0001). When investigating renal replacement therapy (RRT) as an outcome parameter, elevated penKid levels were able to more accurately predict need of RRT in our standard ICU population (n = 60) when compared to elevated TIMP2xIGFBP7 levels (AUC [95% CI] 0.778 [0.713–0838] and 0.678 [0.597–0.761]). Limitations of our investigation include a possible sampling bias within the investigated population as we didn’t measure the two biomarkers in the whole cohort of 2087 patients.
Fig. 1

Boxplot of penKid (grey) and NephroCheck (white) levels according to severity of AKI as defined by KDIGO (left panel) and respective ROC curves predicting AKI (right panel)

Boxplot of penKid (grey) and NephroCheck (white) levels according to severity of AKI as defined by KDIGO (left panel) and respective ROC curves predicting AKI (right panel)
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Review 1.  Diagnostic work-up and specific causes of acute kidney injury.

Authors:  Michael Darmon; Marlies Ostermann; Jorge Cerda; Meletios A Dimopoulos; Lui Forni; Eric Hoste; Matthieu Legrand; Nicolas Lerolle; Eric Rondeau; Antoine Schneider; Bertrand Souweine; Miet Schetz
Journal:  Intensive Care Med       Date:  2017-04-25       Impact factor: 17.440

2.  Diagnostic and short-term prognostic utility of plasma pro-enkephalin (pro-ENK) for acute kidney injury in patients admitted with sepsis in the emergency department.

Authors:  Rossella Marino; Joachim Struck; Oliver Hartmann; Alan S Maisel; Miriam Rehfeldt; Laura Magrini; Olle Melander; Andreas Bergmann; Salvatore Di Somma
Journal:  J Nephrol       Date:  2014-12-09       Impact factor: 3.902

3.  Validation of cell-cycle arrest biomarkers for acute kidney injury using clinical adjudication.

Authors:  Azra Bihorac; Lakhmir S Chawla; Andrew D Shaw; Ali Al-Khafaji; Danielle L Davison; George E Demuth; Robert Fitzgerald; Michelle Ng Gong; Derrel D Graham; Kyle Gunnerson; Michael Heung; Saeed Jortani; Eric Kleerup; Jay L Koyner; Kenneth Krell; Jennifer Letourneau; Matthew Lissauer; James Miner; H Bryant Nguyen; Luis M Ortega; Wesley H Self; Richard Sellman; Jing Shi; Joely Straseski; James E Szalados; Scott T Wilber; Michael G Walker; Jason Wilson; Richard Wunderink; Janice Zimmerman; John A Kellum
Journal:  Am J Respir Crit Care Med       Date:  2014-04-15       Impact factor: 21.405

4.  Renal excretory responses produced by the delta opioid agonist, BW373U86, in conscious rats.

Authors:  S F Sezen; V A Kenigs; D R Kapusta
Journal:  J Pharmacol Exp Ther       Date:  1998-10       Impact factor: 4.030

5.  Proenkephalin, Renal Dysfunction, and Prognosis in Patients With Acute Heart Failure: A GREAT Network Study.

Authors:  Leong L Ng; Iain B Squire; Donald J L Jones; Thong Huy Cao; Daniel C S Chan; Jatinderpal K Sandhu; Paulene A Quinn; Joan E Davies; Joachim Struck; Oliver Hartmann; Andreas Bergmann; Alexandre Mebazaa; Etienne Gayat; Mattia Arrigo; Eiichi Akiyama; Zaid Sabti; Jens Lohrmann; Raphael Twerenbold; Thomas Herrmann; Carmela Schumacher; Nikola Kozhuharov; Christian Mueller
Journal:  J Am Coll Cardiol       Date:  2017-01-03       Impact factor: 24.094

  5 in total
  5 in total

1.  Mechanisms Underlying Increased TIMP2 and IGFBP7 Urinary Excretion in Experimental AKI.

Authors:  Ali C M Johnson; Richard A Zager
Journal:  J Am Soc Nephrol       Date:  2018-07-06       Impact factor: 10.121

2.  Biomarkers for assessing acute kidney injury for people who are being considered for admission to critical care: a systematic review and cost-effectiveness analysis.

Authors:  Miriam Brazzelli; Lorna Aucott; Magaly Aceves-Martins; Clare Robertson; Elisabet Jacobsen; Mari Imamura; Amudha Poobalan; Paul Manson; Graham Scotland; Callum Kaye; Simon Sawhney; Dwayne Boyers
Journal:  Health Technol Assess       Date:  2022-01       Impact factor: 4.106

3.  Urinary cell cycle arrest biomarkers and chitinase 3-like protein 1 (CHI3L1) to detect acute kidney injury in the critically ill: a post hoc laboratory analysis on the FINNAKI cohort.

Authors:  Eric A Hoste; Suvi T Vaara; Jorien De Loor; Mikko Haapio; Lieve Nuytinck; Kristel Demeyere; Ville Pettilä; Evelyne Meyer
Journal:  Crit Care       Date:  2020-04-10       Impact factor: 9.097

Review 4.  Advances in the study of subclinical AKI biomarkers.

Authors:  Chenchen Zou; Chentong Wang; Lin Lu
Journal:  Front Physiol       Date:  2022-08-24       Impact factor: 4.755

5.  Proenkephalin A 119-159 (Penkid) Is an Early Biomarker of Septic Acute Kidney Injury: The Kidney in Sepsis and Septic Shock (Kid-SSS) Study.

Authors:  Alexa Hollinger; Xavier Wittebole; Bruno François; Peter Pickkers; Massimo Antonelli; Etienne Gayat; Benjamin Glenn Chousterman; Jean-Baptiste Lascarrou; Thierry Dugernier; Salvatore Di Somma; Joachim Struck; Andreas Bergmann; Albertus Beishuizen; Jean-Michel Constantin; Charles Damoisel; Nicolas Deye; Stéphane Gaudry; Vincent Huberlant; Gernot Marx; Emanuelle Mercier; Haikel Oueslati; Oliver Hartmann; Romain Sonneville; Pierre-François Laterre; Alexandre Mebazaa; Matthieu Legrand
Journal:  Kidney Int Rep       Date:  2018-08-22
  5 in total

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