Effect of Human Recombinant Alkaline Phosphatase on 7-Day Creatinine Clearance in Patients With Sepsis-Associated Acute Kidney Injury: A Randomized Clinical Trial

Peter Pickkers; Ravindra L Mehta; Patrick T Murray; Michael Joannidis; Bruce A Molitoris; John A Kellum; Mirjam Bachler; Eric A J Hoste; Oscar Hoiting; Kenneth Krell; Marlies Ostermann; Wim Rozendaal; Miia Valkonen; David Brealey; Albertus Beishuizen; Ferhat Meziani; Raghavan Murugan; Hilde de Geus; Didier Payen; Erik van den Berg; Jacques Arend

doi:10.1001/jama.2018.14283

. 2018 Oct 24;320(19):1998–2009. doi: 10.1001/jama.2018.14283

Effect of Human Recombinant Alkaline Phosphatase on 7-Day Creatinine Clearance in Patients With Sepsis-Associated Acute Kidney Injury

A Randomized Clinical Trial

Peter Pickkers ^1,^✉, Ravindra L Mehta ², Patrick T Murray ³, Michael Joannidis ⁴, Bruce A Molitoris ⁵, John A Kellum ⁶, Mirjam Bachler ⁷, Eric A J Hoste ^8,⁹, Oscar Hoiting ¹⁰, Kenneth Krell ¹¹, Marlies Ostermann ¹², Wim Rozendaal ¹³, Miia Valkonen ¹⁴, David Brealey ^15,¹⁶, Albertus Beishuizen ¹⁷, Ferhat Meziani ¹⁸, Raghavan Murugan ¹⁹, Hilde de Geus ²⁰, Didier Payen ^21,²², Erik van den Berg ²³, Jacques Arend ²³, for the STOP-AKI Investigators

¹Department of Intensive Care Medicine, Radboud University Nijmegen Medical Center, Nijmegen, the Netherlands

²Department of Medicine, University of California, San Diego, Medical Center

³School of Medicine, University College Dublin, Dublin, Ireland

⁴Department of Internal Medicine, Division of Intensive Care and Emergency Medicine, Medical University Innsbruck, Innsbruck, Austria

⁵Indiana University, Indianapolis

⁶Department of Critical Care Medicine, Center for Critical Care Nephrology, University of Pittsburgh, Pittsburgh, Pennsylvania

⁷Department of General and Surgical Critical Care Medicine, Medical University Innsbruck, Innsbruck, Austria

⁸Intensive Care, Ghent University, Ghent, Belgium

⁹Clinical Research Foundation Flanders, Brussels, Belgium

¹⁰Intensive Care, Canisius Wilhelmina Hospital, Nijmegen, the Netherlands

¹¹Internal Medicine, Eastern Idaho Regional Medical Center, Idaho Falls

¹²Guy’s and St Thomas’ Hospital, King’s College London, London, United Kingdom

¹³Intensive Care, Jeroen Bosch Hospital, ‘s-Hertogenbosch, the Netherlands

¹⁴Division of Anesthesia and Intensive Care Medicine, Helsinki University Central Hospital, Helsinki, Finland

¹⁵Division of Critical Care, University College London Hospitals National Institute for Health Research Biomedical Research Centre, London, United Kingdom

¹⁶Bloomsbury Institute of Intensive Care Medicine, University College Hospital, London, United Kingdom.

¹⁷Intensive Care, Medisch Spectrum Twente, Enschede, the Netherlands

¹⁸Faculté de Médecine, Service de Réanimation, Université de Strasbourg, Hôpitaux Universitaires de Strasbourg, Nouvel Hôpital Civil, Strasbourg, France

¹⁹Department of Critical Care Medicine, Center for Critical Care Nephrology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania

²⁰Department of Intensive Care, Erasmus Medical Centre, Rotterdam, the Netherlands

²¹Unité Mixte de Recherche INSERM 1160, University Paris 7 Denis Diderot, Paris, France

²²Department of Anaesthesiology and Critical Care, Hôpital Lariboisière, Assistance Publique—Hôpitaux de Paris, Paris, France

²³Clinical Department, AM-Pharma BV, Bunnik, the Netherlands

^✉

Corresponding Author: Peter Pickkers, MD, PhD, Department of Intensive Care Medicine, Radboud University Nijmegen Medical Center, PO Box 9101, Internal Post 710.0, 6500HB Nijmegen, the Netherlands (peter.pickkers@radboudumc.nl).

Group Information: The STOP-AKI Investigators are listed at the end of this article.

Accepted for Publication: September 18, 2018.

Published Online: October 24, 2018. doi:10.1001/jama.2018.14283

Author Contributions: Dr Pickkers had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. Dr Pickkers is the principal investigator and chaired the steering committee, which also included Drs Mehta, Murray, and Joannidis. Dr Kellum served as national PI for the United States. Dr Molitoris chaired the adjudication committee.

Concept and design: Pickkers, Mehta, Murray, Joannidis, van den Berg, Arend.

Acquisition, analysis, or interpretation of data: All authors.

Drafting of the manuscript: Pickkers, van den Berg, Arend.

Critical revision of the manuscript for important intellectual content: Pickkers, Mehta, Murray, Joannidis, Molitoris, Kellum, Bachler, Hoste, Hoiting, Krell, Ostermann, Rozendaal, Valkonen, Brealey, Beishuizen, Meziani, Murugan, de Geus, Payen, van den Berg, Arend.

Statistical analysis: Pickkers, Arend.

Obtained funding: Arend.

Administrative, technical, or material support: Pickkers, Joannidis, Molitoris, Bachler, Krell, Ostermann, Rozendaal, Brealey, Beishuizen, Murugan, de Geus, Payen, van den Berg, Arend.

Supervision: Pickkers, Mehta, Murray, Joannidis, van den Berg, Arend.

Conflict of Interest Disclosures: All authors have completed and submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Dr Pickkers reported receiving travel reimbursements and fees for medical monitoring of this trial from AM-Pharma. Dr Mehta reported receiving consulting fees from AM-Pharma. Dr Murray reported receiving consulting fees from AM-Pharma. Dr Joannidis reported receiving travel reimbursements and consulting fees from AM-Pharma; consulting fees from Baxter Healthcare; speakers’ fees from CLS Behring and Astute Medical; and a research grant and speakers’ fees from Fresenius. Dr Molitoris reported adjudicating creatinine clearances in the study, which was paid for by AM-Pharma, and has conducted preclinical studies for AM-Pharma. Dr Kellum reported receiving consulting fees from AM-Pharma. Dr Bachler reported receiving travel reimbursements for meetings of this trial from AM-Pharma; personal fees and travel grants from LFB Biomedicaments; travel grants from Baxter; travel grants and research funding from CSL Behring and Mitsubishi Tanabe; and nonfinancial support from TEM International outside the submitted work. Dr Hoste reported receiving travel reimbursements from AM-Pharma; and speakers’ fees from Alexion. Dr Krell reported receiving support from AM-Pharma for attendance to the CRRT meeting in San Diego 2017. Dr Murugan reported receiving financial support from AM-Pharma to screen and enroll patients in the trial; financial support for other trials through the University of Pittsburgh from La Jolla Pharmaceuticals; grant support from the National Institute of Diabetes and Digestive and Kidney Diseases; and grant funding from Bioporto Inc. Dr van den Berg is an employee of AM-Pharma and holds equity interest in the company; he also has patents or licenses filed via AM-Pharma for which he receives no personal compensation. Dr Arend is an employee of AM-Pharma and holds equity interest in the company; he also has patents or licenses filed via AM-Pharma for which he receives no personal compensation.

Funding/Support: This work was supported by AM-Pharma.

Role of the Funder/Sponsor: The role of the sponsor in the design of the study was to coordinate and facilitate processes, where the scientific input was provided by the members of the protocol committee, steering committee, and specific input by external experts in data management and statistics. The sponsor contracted an external contract research organization to operationally conduct the study at the study sites. The contract research organization was responsible for setting up the technical systems, data collection, quality control, pharmacovigilance, statistics, and further overall management of the study, under coordination and supervision of the sponsor. The statistical analysis plan was prepared by the contract research organization with input by principal investigator, sponsor, and external experts in statistics. The analyses were performed by external contract research organizations. Data were interpreted by the members of the steering committee, and, in a later phase, all coauthors and external experts, coordinated by the sponsor, could provide input. The principal investigator was responsible for preparation of the manuscript. All coauthors reviewed, made adjustments, and approved the manuscript. The decision to submit the manuscript was made by the principal investigator and other coauthors.

STOP-AKI Investigators: Jacques Arend, MD, Clinical Department, AM Pharma BV, Bunnik, the Netherlands; Mirjam Bachler, PhD, Medical University Innsbruck, Department of General and Surgical Critical Care Medicine, Austria; Albertus Beishuizen, MD, PhD, Medisch Spectrum Twente, Intensive Care, Enschede, the Netherlands; Erik van den Berg, Clinical Department, AM Pharma BV, Bunnik, the Netherlands; David Brealey, PhD, MRCP, FRCA, Division of Critical Care, University College London Hospitals NIHR Biomedical Research Centre and Bloomsbury Institute of Intensive Care Medicine, University College London, UK; Hilde de Geus, MD, PhD, Erasmus Medical Centre, Department of Intensive Care, Rotterdam, the Netherlands; Oscar Hoiting, MD, Canisius Wilhelmina Hospital, Intensive Care, Nijmegen, the Netherlands; Eric Hoste MD, PhD, Ghent University, Intensive Care, Ghent, Belgium, and Clinical Research Foundation Flanders (FWO), Brussels, Belgium; Michael Joannidis, MD, Division of Intensive Care and Emergency Medicine, Department of Internal Medicine, Medical University Innsbruck, Innsbruck, Austria; John Kellum, MD, Center for Critical Care Nephrology, Department of Critical Care Medicine, School of Medicine, Pittsburgh, Pennsylvania; Kenneth Krell, MD, Eastern Idaho Regional Medical Center, Internal Medicine, Idaho Falls, Idaho; Ravindra Mehta, MD, Department of Medicine, UCSD Medical Center, University of California San Diego; Ferhat Meziani, MD, PhD, Université de Strasbourg (UNISTRA), Faculté de Médecine, Hôpitaux Universitaires de Strasbourg, service de réanimation, nouvel hôpital civil, Strasbourg, France; Bruce Molitoris, MD, Indiana University, Indianapolis; Patrick Murray, MD, School of Medicine, University College Dublin, Dublin, Ireland; Raghaven Murugan, MD, MS, FRCP, FCCM, Center for Critical Care Nephrology, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania; Marlies Ostermann, MD, PhD, King’s College London, Guy’s & St Thomas’ Hospital, London, UK; Didier Payen, MD, PhD, UMR INSERM 1160, University Paris 7 Denis Diderot Paris Cité Sorbonne & Lariboisière Hospital- AP –H, Paris, France; Peter Pickkers, MD, PhD, Department of Intensive Care Medicine, Radboud University Nijmegen Medical Center, Nijmegen, the Netherlands; Wim Rozendaal, MD, Jeroen Bosch Hospital, Intensive Care, Hertogenbosch, the Netherlands; Miia Valkonen, MD, PhD, Division of Anesthesia and Intensive Care Medicine, Helsinki University and Helsinki University Central Hospital, Helsinki, Finland; Antonio Artigas Raventos, MD, PhD, Hospital de Sabadell de Barcelona, Centro de Críticos, Sabadell, Spain; Frederic Bellec, MD, Centre Hospitalier de Montauban, Montauban, France; Antoni Betbese Roig, MD, PhD, Hospital de La Santa Creu i Sant Pau, Medicina Intensiva, Barcelona, Spain; Azra Bihorac, MD, University of Florida, Gainesville; Thierry Boulain, MD, Centre Hospitalier Régional d'Orléans, Orléans, France; Edward Cordasco, MD, Remington Davis Inc, Columbus, Ohio; Dianna Cruz, MD, University of California San Diego; Jacques Devriendt, MD, CHU Brugmann, Soins intensifs, Bruxelles, Belgium; Alain Dive, MD, PhD, CHU UCL Namur asbl—Site Godinne, Soins Intensifs, Yvoir, Belgium; Joseph Eustace, MD, Cork University Hospital, PIN, Cork, Ireland; Lui G. Forni, MD, PhD, Royal Surrey County Hospital, Intensive Care, Guildford, UK; Kevin Finkel, MD, University of Texas Houston Medical School; Bruno Francois, MD, Centre Hospitalier Universitaire de Limoges, CHU Dupuytren, Réanimation polyvalente, Limoges, France; Rita Galeiras, MD, PhD, Hospital Universitario A Coruña, A Coruña, Spain; Herwig Gerlach, MD, PhD, Vivantes Klinikum Neukölln, Berlin, Germany; Richard Gerritsen, MD, Medisch Centrum Leeuwarden, Leeuwarden, the Netherlands; Matthias Gründling, MD, PhD, Universitätsmedizin Greifswald, Klinik für Anästhesiologie, Intensivmedizin, Notfallmedizin und Schmerzmedizin, Greifswald, Germany; Luis Jauregui-Peredo, MD; ID Clinical Research Ltd, Toledo, Ohio; Olivier Joannes-Boyau, MD, CHU de Bordeaux, Pessac, France; Luis Juncos, MD, University of Mississippi Medical Center, Jackson; Sari Karlsson, MD, PhD, Tampere University Hospital, Department of Intensive Care Medicine, Tampere, Finland; Kallirroi Kefale, MD, Royal Infirmary of Edinburgh, Anaesthesia, Critical Care and Pain Medicine, Edinburgh, UK; Andreas Kortgen, MD, PhD, Universitatsklinikum Jena, Klinik für Anästhesiologie und Intensivtherapie, Jena, Germany; Giacomo Monti, MD, Department of Anesthesia and Intensive Care IRCCS San Raffaele Scientific Institute, Milan, Italy; Raili Laru-Sompa, MD, Keski Suomen Keskussairaala, Jyväskylä, Finland; Pierre-Francois Laterre, MD, PhD, Cliniques universitaires Saint-Luc, Soins Intensifs, Bruxelles, Belgium; Jean-Yves Lefrant, MD, PhD, CHU de Nîmes—Hôpital Universitaire Caremeau, Nîmes, France; Nicolas Lerolle, MD, PhD, CHU Angers, Service De Réanimation Médicale et Médecine Hyperb, Angers, France; Bruno Levy, MD, CHRU Nancy, Vandoeuvre les Nancy, France; Andrew Lewington, MD, St James University Hospital, Leeds, UK; Jose Lorente, MD, PhD, Hospital Universitario de Getafe, Getafe, Spain; Rafael Manez Mendiluce, MD, PhD, Hospital Universitario de Bellvitge, Llobregat, Spain; Laurent Martin-Lefevre, MD, Centre Hospitalier Departemental de Vendee, Réanimation médico-chirurgicale, La Roche sur Yon, France; Martin Matejovic, MD, PhD, University Hospital Plzen, 1st Department of Internal Medicine, Pilsen, Czech Republic; Andreas Meier-Hellmann, MD, PhD, Helios Klinikum Erfurt, Erfurt, Germany; Emmanuelle Mercier, MD, Hôpital Bretonneau, Tours, France; Martin Novacek, MD, Oblastni nemocnice Kolin, a.s., Anesteziologicko Resuscitacni Oddeleni A Viceoborova Jip, Kolin, Czech Republic; Alistair Nichol, MD, FCICM, FJFICMI, FCARCSI, MB, Bch, BOA, BA, St Vincent's University Hospital, Department Critical Care, Dublin, Ireland; Axel Nierhaus, MD, EDIC, Universitätsklinikum Hamburg Eppendorf, Department Intensive Care Medicine, Hamburg, Germany; Ronald Pearl, MD, PhD, Stanford University, Stanford, California; Enrique Piacentini, MD, Hospital Mutua de Terrassa, Departamento De Cuidados Intensivos, Terrassa, Spain; Michaël Piagnerelli, MD, CHU de Charleroi, Lodelinsart, Belgium; Gaetan Plantefève, MD, Centre Hospitalier Victor Dupouy, Réanimation polyvalente, Argenteuil, France; John R. Prowle, MA, MB, BChir, MD, FFICM, FRCP; Royal London hospital, Adult Critical Care Unit, London, UK; Jean-Pierre Quenot, MD, CHRU Dijon Hôpital General, Dijon, France; Anjay Rastogi, MD, PhD, UCLA Medical Center, Los Angeles, California; Jean Reignier, MD, PhD, CHRU Nantes, Service de Réanimation Médicale Polyvalente, Nantes, France; Rene Robert, MD, CHRU de Poitiers La Miletrie, Poitiers, France; Ricard Ferrer Roca, MD, Hospital Universitario Vall d'Hebron, Clinico de Medicina Intensiva, Barcelona, Spain; Monica Rocco, MD, Azienda Ospedaliera Sant'andrea, Roma, Italy; Alejandro Rodriguez Oviedo, MD, Hospital Universitari de Tarragona Joan XXIII, Critical Care Department, Tarragona, Spain; Ignacio Saez de la Fuente, MD, Hospital Universitario 12 de Octubre, Medicina Intensiva, Madrid, Spain; Fernando Martinez Sagasti, MD, PhD, Hospital Clinico San Carlos, Madrid, Spain; Martin Sauer, MD, Universitätsklinik Rostock, Rostock, Germany; Fenna J. Schoonderbeek, MD, PhD, Ikazia Ziekenhuis, Intensive Care, Rotterdam, the Netherlands; Matthew Sims, MD, PhD, Beaumont Health System, Royal Oak, Michigan; Herbert Spapen, MD, PhD, University Hospital Brussel, Intensive Care Department, Brussels, Belgium; Peter E Spronk, MD, PhD, FCCP, Gelre Ziekenhuizen, Department Intensive Care, Apeldoorn, the Netherlands; Vladimir Sramek, MD, PhD, Fakultni nemocnice u sv. Anny v Brne, Anesteziologicko-resuscitacni Klinika, Brno, Czech Republic; Thomas Staudinger, MD, Medizinische Universitat Wien, Wien, Austria; Jay Steingrub, MD, Baystate Medical Center, Springfield, Massachusetts; Charuhas V. Thakar, MD, PhD, University of Cincinnati Medical Center, Cincinnati, Ohio; Robert Thompson, MD, Victoria Hospital—PPDS Victoria Hospital, Kirkcaldy, UK; Ashita J. Tolwani, MD, University of Alabama, Birmingham; Teresa Maria Tomasa Irriguible, MD, Hospital Universitario Germans Trias i Pujol, Servicio de Medicina Intensiva, Badalona, Spain; Pieter R. Tuinman, MD, PhD, VU Medical Center, Intensive Care Medicine, Amsterdam, the Netherlands; Ari Uusaro, MD, PhD, Kuopio University Hospital, Department Anesthesiology and Intensive Care, Kuopio, Finland; Benoît Veber, MD, PhD, Hôpital Charles Nicolle, Réanimation Chirurgical, Rouen, France; Jean-Louis Vincent, MD, PhD; Jacques Creteur, MD, PhD, Hôpital Erasme, Bruxelles, Belgium; Anitha Vijayan, MD, Washington University, St Louis, Missouri; Norbert Weiler, MD, PhD, Universitätsklinikum Schleswig-Holstein, Klinik für Anästhesiologie und Operative Intensivmedizin, Kiel, Germany; James Welker, MD, Anne Arundel Medical Center, Annapolis, Maryland; Tobias Welte, MD, PhD, Medizinische Hochschule Hannover, Hannover, Germany; Jason Wilson, MD, MA, FAAEM, FACEP, Tampa General Hospital, Division Emergency Medicine, Tampa, Florida; Kai Zacharowski, MD, PhD, ML, FRCA, University Hospital Frankfurt, Anaesthesia, Intensive Care Medicine and Pain Therapy, Frankfurt am Main, Germany; Pleun Hemelaar, Clinical trial coordinator, Department of Intensive Care Medicine, Radboud University Nijmegen Medical Center, Nijmegen, the Netherlands; Rob ten Pas, Global clinical trial director, Clinical Department, AM Pharma BV, Bunnik, the Netherlands; Willem Raaben, Project manager, Clinical Department, AM Pharma BV, Bunnik, the Netherlands; Annelies Resink, Global clinical trial director, Clinical Department, AM Pharma BV, Bunnik, the Netherlands.

Data Sharing Statement: See Supplement 4.

Additional Contributions: We thank all co-investigators, their research nurses, and their intensive care teams at each of the recruitment sites for their contributions to this trial. Editorial assistance was provided by Pleun Hemelaar, MSc (Radboud University Nijmegen Medical Center, Nijmegen, the Netherlands; no compensation received), Rob ten Pas, MSc, Willem Raaben MSc, and Annelies Resink, PhD (all employees of AM-Pharma BV, Bunnik, the Netherlands). Also, we thank the DSMB members, chaired by A. Shaw, MB, FRCA, FFICM, FCCM (University of Alberta, Canada), for their willingness to perform interim and safety analyses.

^✉

Corresponding author.

PMCID: PMC6248164 PMID: 30357272

Key Points

Question

Does the use of human recombinant alkaline phosphatase improve kidney function in patients who are critically ill with sepsis-associated acute kidney injury?

Findings

In this randomized, double-blind, placebo-controlled, dose-finding adaptive phase 2a/2b trial enrolling 301 adults, the optimal therapeutic dose of recombinant alkaline phosphatase was 1.6 mg/kg. Treatment with this dose for 3 days when added to standard care resulted in a median increase in endogenous creatinine clearance of 27.6 mL/min vs 14.7 mL/min for placebo in the first 7 days, a difference that was not statistically significant.

Meaning

Among patients who were critically ill with sepsis-associated acute kidney injury, treatment with human recombinant alkaline phosphatase did not improve kidney function in the first week of treatment.

Abstract

Importance

Sepsis-associated acute kidney injury (AKI) adversely affects long-term kidney outcomes and survival. Administration of the detoxifying enzyme alkaline phosphatase may improve kidney function and survival.

Objective

To determine the optimal therapeutic dose, effect on kidney function, and adverse effects of a human recombinant alkaline phosphatase in patients who are critically ill with sepsis-associated AKI.

Design, Setting, and Participants

The STOP-AKI trial was an international (53 recruiting sites), randomized, double-blind, placebo-controlled, dose-finding, adaptive phase 2a/2b study in 301 adult patients admitted to the intensive care unit with a diagnosis of sepsis and AKI. Patients were enrolled between December 2014 and May 2017, and follow-up was conducted for 90 days. The final date of follow-up was August 14, 2017.

Interventions

In the intention-to-treat analysis, in part 1 of the trial, patients were randomized to receive recombinant alkaline phosphatase in a dosage of 0.4 mg/kg (n = 31), 0.8 mg/kg (n = 32), or 1.6 mg/kg (n = 29) or placebo (n = 30), once daily for 3 days, to establish the optimal dose. The optimal dose was identified as 1.6 mg/kg based on modeling approaches and adverse events. In part 2, 1.6 mg/kg (n = 82) was compared with placebo (n = 86).

Main Outcomes and Measures

The primary end point was the time-corrected area under the curve of the endogenous creatinine clearance for days 1 through 7, divided by 7 to provide a mean daily creatinine clearance (AUC_1-7 ECC). Incidence of fatal and nonfatal (serious) adverse events ([S]AEs) was also determined.

Results

Overall, 301 patients were enrolled (men, 70.7%; median age, 67 years [interquartile range {IQR}, 59-73]). From day 1 to day 7, median ECC increased from 26.0 mL/min (IQR, 8.8 to 59.5) to 65.4 mL/min (IQR, 26.7 to 115.4) in the recombinant alkaline phosphatase 1.6-mg/kg group vs from 35.9 mL/min (IQR, 12.2 to 82.9) to 61.9 mL/min (IQR, 22.7 to 115.2) in the placebo group (absolute difference, 9.5 mL/min [95% CI, −23.9 to 25.5]; P = .47). Fatal adverse events occurred in 26.3% of patients in the 0.4-mg/kg recombinant alkaline phosphatase group; 17.1% in the 0.8-mg/kg group, 17.4% in the 1.6-mg/kg group, and 29.5% in the placebo group. Rates of nonfatal SAEs were 21.0% for the 0.4-mg/kg recombinant alkaline phosphatase group, 14.3% for the 0.8-mg/kg group, 25.7% for the 1.6-mg/kg group, and 20.5% for the placebo group.

Conclusions and Relevance

Among patients who were critically ill with sepsis-associated acute kidney injury, human recombinant alkaline phosphatase compared with placebo did not significantly improve short-term kidney function. Further research is necessary to assess other clinical outcomes.

Trial Registration

ClinicalTrials.gov Identifier: NCT02182440

This randomized clinical trial determines the optimal therapeutic dose, effect on kidney function, and adverse effects of human recombinant alkaline phosphatase in patients who are critically ill with sepsis-associated acute kidney injury.

Introduction

Acute kidney injury (AKI) occurs in up to 60% of patients in intensive care units (ICUs), and its incidence is increasing.^1,2 Development of AKI in patients with sepsis is associated with increased mortality,³ and survivors are at risk of developing chronic kidney disease,⁴ resulting in a burden for both patient and society. Sepsis-associated AKI is a multifactorial syndrome with inflammatory, nephrotoxic, and ischemic insults occurring simultaneously with other pathophysiological responses rapidly leading to kidney impairment.⁵ Currently, no pharmacologic interventions are available to prevent or treat AKI.⁶

Alkaline phosphatase is an endogenous enzyme that exerts detoxifying effects through dephosphorylation of various compounds, including bacterial endotoxins⁷ and proinflammatory mediators such as extracellular adenosine triphosphate.⁸ In animal sepsis models, treatment with alkaline phosphatase attenuated systemic inflammation and organ dysfunction and improved survival rates.⁹ In 2 small clinical trials, administration of bovine alkaline phosphatase significantly improved kidney function in patients with sepsis.^10,11

Based on these results, a human recombinant form of alkaline phosphatase was developed that combined the properties of 2 human isoenzymes, intestinal and placental alkaline phosphatase.¹² Replacing the crown domain of intestinal alkaline phosphatase (the most biologically active isoenzyme) with the crown domain of placental alkaline phosphatase (which has the longest half-life) created a highly stable, biologically active enzyme.¹² The therapeutic effects of human recombinant alkaline phosphatase were confirmed in various AKI models. In human proximal tubular epithelial cells, recombinant alkaline phosphatase was able to dephosphorylate endotoxin and adenosine triphosphate, resulting in an attenuated inflammatory response.¹³ In rats, renal ischemia–induced and inflammation-induced AKI was attenuated by recombinant alkaline phosphatase.¹⁴ The intent of the current clinical trial was to determine the optimal therapeutic dose, effect on kidney function, and adverse effects of recombinant alkaline phosphatase in patients with sepsis-associated AKI.

Methods

Trial Design and Participants

The study protocol and informed consent form were reviewed and approved by the institutional review board or independent ethics committee at each participating site. The trial was conducted in accordance with ethical principles of Good Clinical Practice. Prior to initiation of any study-related procedures, written informed consent was obtained from the patient or the patient’s legal representative. Race and ethnicity information was self-reported or from a first-degree relative in accordance with the US Food and Drug Administration guidance. Data were obtained from all sites, except those from France, where it is prohibited to collect data on race/ethnicity. The reason for inclusion of race/ethnicity in this study was that this was the first inpatient trial with recombinant alkaline phosphatase and therefore differences in, for example, pharmacokinetics could be possible.

The STOP-AKI trial was an international randomized, double-blind, placebo-controlled, 4 parallel-group, dose-finding, adaptive phase 2a/2b trial conducted in critically ill adults with sepsis-associated AKI. The protocol, including slight changes in eligibility criteria (upper age limit from 80 years to 85 years, weight limit from ≤100 kg to ≤115 kg, sepsis time window from <72 hours to <96 hours, and the time window in which the serum creatinine increase should be observed from <24 hours to <48 hours) implemented after inclusion of 120 patients, was published previously¹⁵ (Supplement 1 and Supplement 2). Patients admitted to the ICU who were aged 18 to 85 years with a diagnosis of sepsis,¹⁶ a diagnosis of AKI,¹⁷ and were not expected to have a rapidly fatal outcome were eligible for study participation (for an overview of all inclusion and exclusion criteria, see eMethods 1 in Supplement 3). Prior to the administration of the study drug, to ensure that patients with prerenal AKI were not enrolled, the AKI diagnosis needed to be reconfirmed. In practice, patients were volume resuscitated and only when AKI demonstrated to be nonresolving (as defined by a sustained increase in serum creatinine corrected for fluid resuscitation or ongoing oliguria), the patient remained eligible.

Patients enrolled during the first part of the study were randomly assigned to receive either placebo or 1 of 3 recombinant alkaline phosphatase doses (0.4, 0.8, or 1.6 mg/kg) once daily for 3 days using a 1:1:1:1 allocation ratio.

The data and safety monitoring board (DSMB) performed regular, unblinded safety evaluations. After the inclusion of 120 patients, futility or superiority of the intervention on the primary end point data and the fit to an assumed maximum effect attributable to the drug (E_max) model dose-response curve was assessed (eMethods 2 in Supplement 3). The adaptive design directed the cessation of 2 treatment groups at the interim analysis, as described in the statistical analysis plan. The DSMB was provided with the time-corrected (ie, measured per day) AUC of the endogenous creatinine clearance for days 1 through 7, divided by 7 to provide a mean daily creatinine clearance (AUC_1-7 ECC) (primary end point) and safety data of the patients in part 1 of the study. The DSMB was instructed to select the highest dose, provided that the E_max model applied and that no safety concerns prohibited the selection of this dose. This dose selection method was based on the observation that biologics exhibit a linear or E_max dose response correlation.¹⁸ Patients were randomized to either placebo or the selected dose of recombinant alkaline phosphatase in part 2.

Trial Oversight

All study medication was manufactured by Nova Laboratories (Leicester, UK) according to Good Manufacturing Practice regulations. The design of the study was discussed with European and US regulatory agencies. Following the interim analysis, an adjudication committee was installed as advised by the DSMB and steering committee to adjudicate the day 1 to 7 ECC data of all patients (eMethods 3 in Supplement 3).

Randomization and Study Medication

The randomization schedule was stratified by site. An independent statistician generated a permuted block randomization schedule (per 8 in part 1 and per 4 in part 2) for an interactive voice/web response system, which linked sequential patient randomization numbers to treatment codes. Study drug dose rationale¹⁵ is explained in eMethods 4 in Supplement 3. The lowest dose was chosen with predicted trough plasma concentrations below the assumed effective concentration. The middle and high doses were chosen based on trough concentrations reaching or exceeding, respectively, the estimated effective concentration. Study drug was administered as a 1-hour intravenous infusion within 24 hours after sepsis-associated AKI was first diagnosed, and then 24 hours (±1 hour) and 48 hours (±1 hour) following administration of the first dose. Administration of nephrotoxic drugs was avoided where possible, as recommended by Kidney Disease: Improving Global Outcomes (KDIGO) guidelines.¹⁹ Personnel involved in this study were blinded to treatment assignment. To maintain the blinding, clinicians were not allowed to measure circulating alkaline phosphatase concentrations until day 14 (details on blinding in eMethods 5 in Supplement 3).

Outcome Measures

Primary End Point

The primary objective of this study was to determine the optimal therapeutic dose and adverse effects (AEs) of recombinant alkaline phosphatase, and to evaluate its effect on kidney function (AUC_1–7 ECC). In view of the limitations of serum creatinine values in patients who are not in a steady state and the limited feasibility to use other measures of kidney function, ECC was chosen as the primary efficacy end point.²⁰ All patients had an indwelling catheter to ensure accurate measurements of urine volume, with a urine collection period of 6 hours (±1 hour) daily.^21,22 In patients who were anuric, an ECC of 0 mL/min was imputed. The mean value of the serum creatinine concentration measured at the beginning and at the end of the urine collection period was used for ECC calculations.¹⁵

Key Secondary End Point

Requirement for renal replacement therapy (RRT) was the main related clinical parameter. Sites were advised to follow criteria for the initiation and termination of RRT.²³ Only continuous forms of RRT were allowed during the first 7 days following enrollment to prevent a rebound effect on ECC by intermittent hemodialysis.

Secondary End Points

Kidney secondary end points included ECC and blood urea nitrogen clearance up through day 28, urine volume, serum creatinine, blood urea nitrogen, proteinuria, and estimated glomerular filtration rate. Nonkidney secondary end points were liver function, pulmonary function, shock-free days, Sequential Organ Failure Assessment (SOFA) scores, biomarker assessment, and mortality. A priori exploratory subgroup analyses were planned to determine whether recombinant alkaline phosphatase treatment demonstrates different levels of efficacy in specific patient groups.

Other End Points

Other exploratory end points included composite major adverse kidney events (MAKE) scores at days 28, 60, and 90; serology; ICU and hospital length of stay; and quality of life. All end points are specified in eMethods 6 in Supplement 3.

Adverse Events

Incidence of fatal and nonfatal (serious) AEs ([S]AEs), tolerability, pharmacokinetics (in the first 120 patients), immunogenicity, laboratory assessments, vital signs, and electrocardiography data were included in the safety analysis.

Statistical Analyses

Custom-programmed simulations were performed using SAS software (SAS Institute), version 9.2, to determine power and type I error rate of the chosen sample size and design in a number of different dose-response scenarios. Each scenario assumed a standard deviation of 49 mL/min for the primary end point with an assumed response of 60 mL/min for the placebo group, and from 60 mL/min (no treatment effect) to 79 mL/min (strong treatment effect) for the recombinant alkaline phosphatase dose groups. These estimations and standard deviation were taken from the previous trial using bovine alkaline phosphatase.¹¹ A sample size was planned of 30 patients per treatment group in part 1 with an additional 85 patients recruited to the optimal recombinant alkaline phosphatase dose and placebo treatment groups in part 2, (eMethods 7 in Supplement 3). Missing values were imputed by interpolation between measured values and extrapolation based on last observation carried forward, according to predefined rules described in the statistical analysis plan. The safety data set consisted of all patients who were assigned to a treatment group and received at least 1 dose of study drug. Efficacy and exploratory end points were analyzed according to the intention-to-treat (ITT) principle for patients from whom informed consent was obtained and who were randomized to a treatment group.

Patients who were randomized during interim analysis and who were assigned to 1 of the 2 treatment groups that were dropped following interim analysis were not part of the ITT population. The per-protocol analysis supplemented the ITT analysis and compared the intervention groups with the placebo group for patients who received study medication according to the study protocol and had no more than 2 missing ECC values on days 1 through 7, as detailed in the statistical analysis plan.

For the descriptive statistics, continuous variables are presented as least-square means with standard error of mean, or median with interquartile range, depending on their distribution. Normally distributed variables were compared using the t test; Mann-Whitney U tests were used to compare nonnormally distributed variables. Categorical (and binary) variables are presented as numbers with percentages and analyzed using χ² tests. Survival analyses with Kaplan-Meier curves were used for graphical presentation. Cox proportional hazard regression analyses were used to estimate the hazard ratio for survival and for the number of RRT-free, shock-free, and mechanical ventilation–free days during study days 1 through 28 with the use of recombinant alkaline phosphatase vs placebo. The assumption of proportional hazards was confirmed by visual inspection of those curves.

A hierarchical method was employed to address any multiplicity arising from the analysis of the key secondary end point. In case of a nonsignificant effect on the primary outcome measure, RRT requirement is viewed as an exploratory end point. All analyses performed on the other secondary end points were for exploratory purposes only; therefore, no further multiplicity adjustment was used. The analysis of the primary efficacy end point was performed by analysis of variance with site as a fixed effect.

Four post hoc analyses were performed: First, on the primary end point, a sensitivity analysis using a mixed-effects model with random terms for site was performed. Second, sensitivity analyses were undertaken using a mixed model of repeated measures (MMRM) with time of measurement as a fixed effect and site and patient (nested within site) as random effects. This analysis was initially undertaken on data with imputation to align with the prespecified analysis of the primary end point and additionally without imputation for the data from day 1 through day 28. Third, to determine to what extent kidney function influences its recovery, baseline creatinine clearance was correlated with the primary end point AUC_1-7 ECC. Fourth, a post hoc, forward stepwise, multivariable analysis was undertaken to assess whether the observed differences in overall survival were related to baseline imbalances in prognostic factors. The following factors were considered; time to treatment, C-reactive protein, sex, weight, age, Acute Kidney Injury Network stage, Pao₂/Fio₂ ratio, mechanical ventilation status, vasopressor and inotropic therapy, Kidney Injury Molecule-1, ECC, Simplified Acute Physiology Score II (SAPS II), SOFA score, and Acute Physiologic Assessment and Chronic Health Evaluation II (APACHE II) score. Proportional hazards were assumed.

Because these were exploratory analyses, model assumptions were not assessed in any formal way except by confirming a consistent effect in subgroups as indicated by Forest plots. A Cox proportional hazards model including treatment was fitted to the data together with each of the prognostic factors. The prognostic factor having the lowest P value on overall survival was chosen to be in the model. A model containing this factor, treatment, and each of the remaining factors was then fitted to the data and the second most influential factor was chosen based on the lowest P value. This process was continued until the introduction of any new factor did not affect overall survival significantly (P > .10).

All statistical tests performed on the ITT population were conducted with SAS (SAS Institute), version 9.4, and with a 2-sided P value less than .05 for significance.

Results

Participants

From December 2014 through May 2017, of 326 patients who passed an initial screen, 301 patients (men, 70.7%; median age, 67 years [interquartile range {IQR}, 59 to 73]) were enrolled across 53 sites in 11 countries in the European Union and United States (eTable 1 in Supplement 3). Sites were active for 17 months (±8 months). Follow-up was conducted for 90 days and the final visit took place on August 14, 2017. The safety analysis included 294 patients and ITT included 290 patients. In the ITT data set, patients received recombinant alkaline phosphatase doses of 0.4 mg/kg (n = 31), 0.8 mg/kg (n = 32), 1.6 mg/kg (n = 29 in part 1 and n = 82 in part 2), or placebo (n = 30 in part 1 and n = 86 in part 2) (Figure 1). Randomization resulted in well-balanced demographic and patient characteristics (Table 1; for exploratory subgroup analyses, see eFigures 1-23 in Supplement 3.

Figure 1. — AKI indicates acute kidney injury; ITT, intention-to-treat; RRT, renal replacement therapy; and STOP-AKI, Safety, Tolerability, Efficacy, and Quality of Life Study of Human Recombinant Alkaline Phosphatase in the Treatment of Patients With Sepsis-Associated Acute Kidney Infection. Part 1 of the trial identified the optimal dose of recombinant alkaline phosphatase. Part 2 compared the optimal dose (1.6 mg/kg) with placebo.

^aThe ITT population included patients from whom informed consent was obtained and who were randomized to a treatment group. The ITT population did not include patients who were randomized during interim analysis and who were assigned to the human recombinant alkaline phosphatase 0.4 mg/kg or 0.8 mg/kg treatment group because these 2 treatment groups were dropped following interim analysis.

^bAn unblinded interim analysis was conducted on the part 1 data to determine the optimal recombinant alkaline phosphatase dose for part 2. This analysis compared the primary efficacy end point and a selection of the safety data for the 4 treatment groups from part 1. The interim analysis was conducted when the first 7 days of laboratory data had been collected for 120 patients from part 1.

Table 1. Demographic and Baseline Disease Characteristics of Patients Who Were Critically Ill With Sepsis-Associated Acute Kidney Injury Treated With Recombinant Alkaline Phosphatase vs Placebo, Intention-to-Treat Population.

Characteristics	Recombinant Alkaline Phosphatase Groups, No. (%)			Placebo Group (n = 116), No. (%)
Characteristics	0.4 mg/kg (n = 31)	0.8 mg/kg (n = 32)	1.6 mg/kg (n = 111)	Placebo Group (n = 116), No. (%)
Age, median (IQR), y	67.0 (61.0-72.0)	66.5 (62.5-72.0)	65.0 (57.0-73.0)	68.0 (61.0-75.0)
Men	23 (74.2)	16 (50.0)	82 (73.9)	84 (72.4)
Women	8 (25.8)	16 (50.0)	29 (26.1)	32 (27.6)
Race/ethnicity
White	25 (80.6)	27 (84.4)	95 (85.6)	95 (81.9)
Black	0	0	1 (0.9)	4 (3.4)
Asian	2 (6.5)	0	1 (0.9)	1 (0.9)
Other (specifics not obtained)	0	1 (3.1)	0	0
Not collected	4 (12.9)	4 (12.5)	14 (12.6)	16 (13.8)
Weight, median (IQR), kg	78.0 (70.0-86.0)	79.0 (72.0-90.0)	80.0 (71.8-90.0)	79.2 (70.0-86.5)
Height, median (IQR), cm	172.5 (165.0-184.0) [n=30]	167.0 (160.0-174.0) [n=29]	173.0 (168.0-179.0) [n=110]	174.0 (165.0-178.0) [n=115]
BMI, median (IQR)	25.8 (22.4-28.4) [n=30]	27.4 (25.2 -30.7) [n=29]	26.8 (23.9 -30.2) [n=110]	26.3 (23.9-29.4) [n=115]
Disease severity, median (IQR)
APACHE II score^a	30.0 (25.0-35.0)	26.0 (20.0-34.5)	25.0 (19.0-31.0) [n=110]	26.0 (20.0-33.5)
SAPS II^b	52.0 (42.0-70.0) [n=30]	50.5 (38.0-60.5)	50.0 (42.0-61.0) [n=97]	47.0 (39.0-60.0) [n=97]
SOFA score^c	10.0 (8.0-13.0) [n=29]	9.0 (8.0-11.0)	10.0 (8.0-12.0) [n=108]	10.0 (8.0-12.0) [n=113]
Mechanical ventilation	23 (74.2)	20 (62.5)	70 (63.1)	68 (58.6)
Vasopressor/inotropic therapy use	28 (90.3)	30 (93.8)	102 (91.9)	103 (88.8)
Vital signs
Heart rate, median (IQR), beats/min	93.0 (77.0-115.0) [n=31]	90.0 (75.5-107.5)	95.0 (83.0-110.0)	98.0 (85.0-111.0)
Systolic BP, median (IQR), mm Hg	108.0 (100.0-119.0)	118.5 (96.0-131.0)	107.0 (95.0-119.0)	112.0 (101.5-131.5)
Diastolic BP, median (IQR), mm Hg	54.0 (49.0-62.0)	58.0 (54.0-62.0)	55.0 (49.0-62.0) [n=110]	56.5 (51.0-63.5)
Body temperature	31 (100)	32 (100)	108 (100)	114 (100)
<36°C	4 (12.9)	5 (15.6)	11 (9.9)	11 (9.5)
≥36°C-≤38°C	20 (64.5)	22 (68.8)	79 (71.2)	76 (65.5)
>38°C	7 (22.6)	5 (15.6)	18 (16.2)	27 (23.3)
Kidney function
eGFR, median (IQR), mL/min^d	27.2 (20.0-42.4) [n=27]	25.6 (20.4-40.7) [n=28]	29.7 (20.5-46.5) [n=98]	37.5 (23.9 -50.8) [n=102]
ECC, median (IQR), mL/min^e
Day 0	14.4 (8.8-58.0) [n=10]	26.0 (5.4-30.6) [n=12]	24.1 (10.5-54.9) [n=46]	31.8 (14.7-62.5) [n=49]
Day 1	28.3 (4.3-64.4) [n=30]	25.2 (9.4 -61.0) [n=31]	26.0 (8.8-59.5) [n=102]	35.9 (12.2-82.9) [n=103]
AKI stage^f	31 (100)	32 (100)	109 (100)	112 (100)
1 (Least affected)	22 (71.0)	23 (71.9)	81 (73.0)	91 (78.4)
2	5 (16.1)	5 (15.6)	17 (15.3)	16 (13.8)
3 (Most affected)	4 (12.9)	4 (12.5)	11 (9.9)	5 (4.3)
Urine output, median (IQR), mL/h	50.0 (21.7-101.7) [n=13]	27.4 (16.4-50.0) [n=14]	39.1 (10.9-85.7) [n=50]	60.0 (21.8-99.3) [n=53]
Serum creatinine, median (IQR), mg/dL	2.3 (1.5-2.8) [n=29]	1.9 (1.5-2.8)	2.0 (1.4-2.8) [n=110]	1.8 (1.3-2.4) [n=113]

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Abbreviations: AKI, acute kidney injury; APACHE II, Acute Physiology and Chronic Health Evaluation II; BMI, body mass index—weight in kilograms divided by height in meters squared; BP, blood pressure; ECC, endogenous creatinine clearance; eGFR, estimated glomerular filtration rate; SAPS II, Simplified Acute Physiology Score II; SOFA, Sequential Organ Failure Assessment.

SI conversion factors: To convert ECC to mL/s, multiply by 0.0167.

^{^a}

APACHE II scores range from 0-71, with higher scores indicating greater severity. For example, a patient with APACHE II score of 26 at admission, on mechanical ventilation and vasopressor support, could be elderly (eg, 76 y [6 points]), with a temperature of 39.5°C (3 points), mean arterial pressure 62 mm Hg (2 points), heart rate 145/min (3 points), respiratory rate 37/min (3 points), Pao₂ 65 mm Hg (1 point), arterial pH 7.25 (2 points), serum Na⁺ 152 mEq/L (1 point), creatinine 140 mg/dL (2 points), hematocrit 47% (1 point), and white blood cell count 29 ×10⁹/L (2 points).

^{^b}

SAPS II ranges from 0-163, with higher scores indicating greater severity.

^{^c}

SOFA scores range from 0-24, with higher scores indicating more severe dysfunction. The maximal deviation from normal in 24 h at baseline was used for heart rate, blood pressure, body temperature, and AKI stage.

^{^d}

The eGFR was calculated according to the Chronic Kidney Disease Epidemiology Collaboration equation.²⁴

^{^e}

Study drug infusion was administrated as soon as possible, and investigators did not wait until data of day 0 were completed. Therefore, data are given as change from day 1, the day of study drug infusion.

^{^f}

AKI stage was stratified according to the AKI-Network definition.²⁵

Primary End Point

In part 1, the dose-finding part of the trial, the median AUC_1–7 ECC was 47.0 mL/min (IQR, 6.6 to 88.4) in the 0.4-mg/kg recombinant alkaline phosphatase group, 63.5 mL/min (IQR, 8.1 to 96.8) in the 0.8-mg/kg recombinant alkaline phosphatase group, and 60.7 mL/min (IQR, 3.7 to 92.4) in the 1.6-mg/kg recombinant alkaline phosphatase group compared with 46.2 mL/min (IQR, 21.5 to 114.6) in the placebo group.

Following the interim analysis, the DSMB advised continuing the study with 1.6 mg/kg of recombinant alkaline phosphatase. As per the statistical analysis plan, only the effects of the 1.6-mg/kg recombinant alkaline phosphatase group were compared with those of the placebo group in the primary end point analysis. From day 1 to day 7, median ECC increased from 26.0 mL/min (IQR, 8.8 to 59.5) to 65.4 mL/min (IQR, 26.7 to 115.4) in the 1.6-mg/kg recombinant alkaline phosphatase group vs from 35.9 mL/min (IQR, 12.2 to 82.9) to 61.9 mL/min (IQR, 22.7 to 115.2) in the placebo group, resulting in an AUC_1–7 ECC of 55.1 mL/min (IQR, 15.0 to 93.9) in the 1.6-mg/kg recombinant alkaline phosphatase group vs 45.6 mL/min (IQR, 17.7 to 112.4) in the placebo group (absolute difference, 9.5 mL/min [bootstrap 95% CI, −23.9 to 25.5]; P = .47) (Figure 2). For the primary end point, 10.2% of data were missing and following the judgment of the adjudication committee, 3.1% of data were discarded. Missing or discarded data were imputed according to the prespecified method.

Figure 2. — AUC_1-7 ECC indicates the area under the time-corrected (ie, measured per day) curve (AUC) for ECC from day 1 through 7, divided by 7 to provide a mean daily creatinine clearance. A, Median increase in ECC from baseline to day 28 from part 1 and part 2 (combined data) of the trial. Error bars indicate distribution free intervals. The data points of the 2 treatment groups were slightly staggered to avoid superimposition. B, Median AUC_1-7 ECC for part 1 and part 2 (combined data) of the trial. The top and bottom of the boxes indicate the IQR, whiskers indicate 95% CI, and the circles indicate the individuals whose values were outside the 5th and 95th percentiles of the AUC_1–7 ECC.

Secondary End Points

The requirement of RRT (days 1-28) was 36.0% in the 1.6-mg/kg recombinant alkaline phosphatase group vs 29.3% in the placebo group (odds ratio, 1.4 [95% CI, 0.8 to 2.4]; P = .28). However, due to the null primary end point and the requirement for hierarchical testing, this finding does not represent a formal analysis.

The exploratory end point, treatment effect of recombinant alkaline phosphatase compared with placebo on ECC improvement up to day 28, showed that the 1.6-mg/kg recombinant alkaline phosphatase group exerted a differential treatment effect during the 28-day period (P = .04 for interaction), driven by day 21 (mean difference, 16.3 mL/min [95% CI, 3.07 to 29.5]; P = .02) and day 28 (mean difference, 18.5 mL/min [95% CI, 5.3 to 31.7]; P = .006) (Figure 2). All-cause mortality at day 28 was lower in the 1.6-mg/kg recombinant alkaline phosphatase group (n = 16 [14.4%]) vs the placebo group (n = 31 [26.7%]; difference, 12.3% [95% CI, 1.9%-22.7%]; P = .02). This effect persisted to day 90, 17.1% in the 1.6-mg/kg recombinant alkaline phosphatase group (n = 19) vs 29.3% in the placebo group (n = 34) (difference, 12.2% [95% CI, 1.3% to 23.0%]; P = .03) (eFigure 24 in Supplement 3). Kidney injury biomarkers, as well as other nonkidney secondary end points, were not significantly influenced by recombinant alkaline phosphatase treatment (eTable 2 in Supplement 3). Per-protocol analyses yielded comparable results. Data of other exploratory secondary end points are provided in eTable 3 in Supplement 3.

Statistically significant differences in the effects on the primary end point and key secondary end point were not observed in the a priori defined exploratory subgroups (eFigures 1-8 in Supplement 3).

Other End Points

Treatment with recombinant alkaline phosphatase did not affect MAKE at 28 days, but resulted in a significantly lower incidence of MAKE at 60 days (27.0% in the 1.6-mg/kg recombinant alkaline phosphatase group [n = 30] vs 39.7% in the placebo group [n = 46]; hazard ratio [HR], 1.8 [95% CI, 1.0 to 3.1]; P = .045) and MAKE at 90 days (26.1% in the 1.6-mg/kg recombinant alkaline phosphatase group: [n = 29] vs 39.7% in the placebo group [n = 46]; HR, 1.9 [95% CI, 1.1 to 3.3]; P = .03), mainly driven by a difference in survival (for MAKE definitions at each measurement, see eTable 2 in Supplement 3). Inflammatory biomarkers, quality of life, and other exploratory end points were not significantly influenced by recombinant alkaline phosphatase treatment (eTables 2-3 and eFigures 9-23 in Supplement 3).

Adverse Events

In the safety data population (Table 2), 68 fatal SAEs were reported during the study. Fatal SAEs were reported in 26.3% of the 0.4-mg/kg recombinant alkaline phosphatase group, 17.1% of the 0.8-mg/kg recombinant alkaline phosphatase group, 17.4% of the 1.6-mg/kg recombinant alkaline phosphatase group, and 29.5% in the placebo group. eTable 4 in Supplement 3 provides a summary of cause of death by organ class and Figure 3 illustrates the cumulative incidence of fatal SAEs over time for all treatment groups. Nonfatal SAEs were reported for 8 patients (21.0%) in the 0.4-mg/kg recombinant alkaline phosphatase group, 5 patients (14.3%) in the 0.8-mg/kg recombinant alkaline phosphatase group, 28 patients (25.7%) in the 1.6-mg/kg recombinant alkaline phosphatase group, and 23 patients (20.5%) in the placebo group. Adverse events were reported for the majority of patients in each of the groups (0.4-mg/kg recombinant alkaline phosphatase group, 35 [92.1%]; 0.8-mg/kg recombinant alkaline phosphatase group, 31 [88.6%]; 1.6-mg/kg recombinant alkaline phosphatase group, 103 [94.5%]; placebo, 111 [99.1%]), with most AEs in each treatment group being either mild or moderate in severity. No recombinant alkaline phosphatase dose–dependency in the incidence and nature of (S)AEs was observed. Anti-drug antibody titers were just above the detection limit in 9 patients treated with recombinant alkaline phosphatase.

Table 2. Adverse Events and Serious Adverse Events in the First 28 Days Among Patients Who Were Critically Ill With Sepsis-Associated Acute Kidney Injury Treated With Recombinant Alkaline Phosphatase vs Placebo, in the Safety Data Population^a.

Adverse Event	Adverse Events From Day 1-28, No. (%)				Serious Adverse Events From Day 1-28, No. (%)
	Recombinant Alkaline Phosphatase Groups			Placebo Group (n = 112)	Recombinant Alkaline Phosphatase Groups			Placebo Group (n = 112)
	0.4 mg/kg (n = 38)	0.8 mg/kg (n = 35)	1.6 mg/kg (n = 109)	Placebo Group (n = 112)	0.4 mg/kg (n = 38)	0.8 mg/kg (n = 35)	1.6 mg/kg (n = 109)	Placebo Group (n = 112)
Total events	277	252	898	806	34	19	76	89
Nonfatal events					24	13	57	56
Patients with a fatal event					10 (26.3)	6 (17.1)	19 (17.4)	33 (29.5)
Patients with a nonfatal serious adverse event					8 (21.0)	5 (14.3)	28 (25.7)	23 (20.5)
Patients with at least 1 event	35 (92.1)	31 (88.6)	103 (94.5)	111 (99.1)	18 (47.4)	11 (31.4)	47 (43.1)	56 (50.0)
Gastrointestinal disorders	17 (44.7)	16 (45.7)	63 (57.8)	49 (43.8)	3 (7.9)	2 (5.7)	11 (10.1)	6 (5.4)
Infections and infestations	16 (42.1)	16 (45.7)	60 (55.0)	47 (42.0)	5 (13.2)	5 (14.3)	18 (16.5)	18 (16.1)
Metabolism and nutrition disorders	13 (34.2)	13 (37.1)	49 (45.0)	41 (36.6)	0	0	0	1 (0.9)
General disorders and administration site conditions	10 (26.3)	13 (37.1)	44 (40.4)	43 (38.4)	2 (5.3)	0	5 (4.6)	9 (8.0)
Cardiac disorders	11 (28.9)	12 (34.3)	43 (39.4)	44 (39.3)	0	3 (8.6)	9 (8.3)	11 (9.8)
Psychiatric disorders	12 (31.6)	13 (37.1)	42 (38.5)	39 (34.8)	0	0	1 (0.9)	0
Respiratory, thoracic, and mediastinal disorders	14 (36.8)	14 (40.0)	40 (36.7)	52 (46.4)	6 (15.8)	3 (8.6)	9 (8.3)	14 (12.5)
Vascular disorders	12 (31.6)	9 (25.7)	36 (33.0)	40 (35.7)	1 (2.6)	0	5 (4.6)	7 (6.3)
Investigations	8 (21.1)	10 (28.6)	30 (27.5)	30 (26.8)	0	0	1 (0.9)	1 (0.9)
Blood and lymphatic system disorders	10 (26.3)	8 (22.9)	24 (22.0)	22 (19.6)	2 (5.3)	0	2 (1.8)	2 (1.8)
Skin and subcutaneous tissue disorders	7 (18.4)	5 (14.3)	22 (20.2)	17 (15.2)	0	0	1 (0.9)	0
Nervous system disorders	6 (15.8)	10 (28.6)	19 (17.4)	15 (13.4)	4 (10.5)	1 (2.9)	4 (3.7)	1 (0.9)
Kidney and urinary disorders	6 (15.8)	2 (5.7)	16 (14.7)	12 (10.7)	1 (2.6)	0	1 (0.9)	2 (1.8)
Injury, poisoning, and procedural complications	13 (34.2)	7 (20.0)	14 (12.8)	15 (13.4)	3 (7.9)	2 (5.7)	0	3 (2.7)
Musculoskeletal and connective tissue disorders	3 (7.9)	1 (2.9)	13 (11.9)	14 (12.5)	0	0	0	1 (0.9)
Hepatobiliary disorders	1 (2.6)	1 (2.9)	9 (8.3)	9 (8.0)	1 (2.6)	0	0	4 (3.6)
Endocrine disorders	1 (2.6)	1 (2.9)	3 (2.8)	4 (3.6)	0	0	0	0
Eye disorders	3 (7.9)	1 (2.9)	3 (2.8)	2 (1.8)	0	0	0	0
Ear and labyrinth disorders	0	0	2 (1.8)	1 (0.9)	0	0	1 (0.9)	0
Neoplasm benign, malignant, and unspecified (including cyst and polyps)	0	0	1 (0.9)	1 (0.9)	0	0	0	0
Congenital, familial, and genetic disorders	0	0	1 (0.9)	0	0	0	0	0
Reproductive system and breast disorder	0	0	1 (0.9)	0	0	0	0	0

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^{^a}

Adverse events and serious adverse events were coded according to the Medical Dictionary for Regulatory Activities, version 19.0. All patients who died were analyzed and classified as a fatal serious adverse event. Patients were counted once for each event category, even if they had multiple events in that category. Only patients who received at least 1 dose of study drug were included in the safety analysis data set.

Figure 3. — The median observation time (95% CI) was 16.5 days (6-28) for the 0.4-mg/kg recombinant alkaline phosphatase group, 9.5 days (1-53) for the 0.8-mg/kg recombinant alkaline phosphatase group, 9 days (5-21) for the 1.6-mg/kg recombinant alkaline phosphatase group, and 8 days (4-16) for the placebo group. All patients who died were analyzed and classified as a fatal serious adverse event.

Post Hoc Analyses

Post hoc, MMRM sensitivity analysis, mixed-effects regression, with random terms for time of measurement and site without imputation, resulted in a mean difference of 27.6 mL/min (95% CI, 8.7 to 46.6; P = .004) for day 21 and a mean difference of 18.2 mL/min (95% CI, −2.5 to 38.9; P = .08) for day 28. Baseline and day 1 ECC strongly correlated with AUC_1-7 ECC (r = 0.87; common slope, 1.01 [95% CI, 0.93–1.09]; P < .001). Also, a lower baseline ECC correlated with a log-linear higher relative HR for mortality according to a Cox model (eFigure 25 in Supplement 3). To test the robustness of the recombinant alkaline phosphatase–mediated effect on survival, a forward stepwise multivariable analysis was conducted. Of the various covariates tested, recombinant alkaline phosphatase treatment, baseline APACHE II score, baseline ECC, and time to recombinant alkaline phosphatase treatment remained significant additive prognostic factors included in the model with a resulting treatment effect for mortality (HR, 0.47 [95% CI, 0.25 to 0.88]) was statistically significant with a 2-sided P value of .02 (eTable 5 in Supplement 3).

Discussion

Among patients with sepsis-associated AKI, human recombinant alkaline phosphatase compared with placebo did not significantly improve short-term kidney function. There are a number of explanations for this finding, the first of which is that this medication is not an effective treatment for sepsis-associated AKI. However, there are alternative possible explanations including, second, that creatinine and its clearance are recognized to be of limited precision to estimate kidney function,^26,27 especially during nonsteady state conditions; however, a suitable clinical alternative is currently not available. Third, despite randomization, there was a slight imbalance in kidney function between groups. Previous work,²⁸ as well as the current trial, illustrate that the degree of initial kidney dysfunction is prognostic for the extent of kidney recovery and survival, as more severe kidney failure correlates with worse outcomes. Therefore, the somewhat-more-impaired kidney function in the recombinant alkaline phosphatase group may account for the absence of a significantly more pronounced improvement of ECC in the first week. Fourth, the 7-day timeframe was possibly too short, as differences in recovery of ECC between treatment groups emerged on day 21 and day 28. Fifth, the exploratory finding of lower mortality in the recombinant alkaline phosphatase–treated group may have had an influence on the primary outcome because poor kidney function in the most severely ill—but surviving—patients in the treatment group may have attenuated the increase in ECC of the recombinant alkaline phosphatase group.

In sepsis, injury is known to be heterogeneous throughout the kidney with patchy tubular damage being the most common histological finding.²⁹ In contrast, ECC is a nonspecific, late functional marker. Consequently, acute measures of organ function may not reflect underlying organ damage that only becomes evident later. Therefore, an interventional therapy that reduces damage and improves organ function by attenuating severity and duration of AKI, may prevent maladaptive repair mechanisms and fibrosis, with manifestation of recovery only after weeks.^30,31 Longer-term exploratory kidney end points indicated that recombinant alkaline phosphatase resulted in more complete long-term recovery of kidney function compared with placebo. Although these beneficial effects are more patient-centered and clinically relevant,³² it is important to emphasize that these were exploratory end points of this study, so effects of recombinant alkaline phosphatase on longer-term kidney function and survival should be interpreted as only hypothesis-generating.

In view of the detoxifying properties of alkaline phosphatase, therapeutic properties were investigated in animal models of sepsis, demonstrating improved outcomes.³³ It remains unclear to what extent kidney protection is mediated through effects directly on tubular cells or through systemic effects indirectly preventing damage to the kidneys, or whether kidney function improves as part of a general effect of improving sepsis or a combination of the above. Alkaline phosphatase is depleted in the kidney following an ischemic insult,³⁴ and recombinant alkaline phosphatase attenuates the inflammatory response in isolated human proximal tubule cells.³⁵ However, systemic detoxifying properties may lead to more swift normalization of circulating inflammatory markers¹¹ indirectly benefiting the kidneys. As this latter observation could not be confirmed in the current trial, the direct effects on kidney tissue could be more important.

Adverse effects were reported in the majority of patients, independent of treatment with recombinant alkaline phosphatase or placebo. In accordance with the safety data from the previously reported phase 1 studies,³⁶ no compound-specific or dose-related adverse effects emerged. Fatal SAEs occurred in patients treated with recombinant alkaline phosphatase (17.4%) and placebo (29.5%).

Limitations

This study has several limitations. First, despite randomization, a small but potentially relevant difference in baseline ECC was present that may account for the lack of an effect on the primary outcome measure. Second, the large number of secondary end points may have introduced a type 1 error related to the significant differences between groups, all of which need to be interpreted as exploratory and hypothesis-generating. Third, the exploratory analyses performed to investigate the robustness of the observed mortality difference, were not preplanned and should be interpreted with caution. Fourth, although no signals were observed in this trial for AEs related to treatment, low incidence AEs may be detected in larger trials only.

Conclusions

Supplement 1.

Trial Protocol

Click here for additional data file.^{(2.9MB, pdf)}

Supplement 2.

Statistical Analysis Plan

Click here for additional data file.^{(1.7MB, pdf)}

Supplement 3.

eList 1. STOP-AKI Investigators

eMethods 1. Inclusion and Exclusion Criteria

eMethods 2. Interim Analysis

eMethods 3. Adjudication Rules

eMethods 4. Dose Rationale and Pharmacokinetics

eMethods 5. Blinding

eMethods 6. Study End Points

eMethods 7. Sample Size Calculations

eTable 1. Participating Sites

eTable 2. Primary and Secondary End Points

eTable 3. Multivariable Analysis for Overall Survival

eTable 4. Primary and Secondary End Points (All Groups)

eTable 5. Summary of Cause of Death by System Organ Class

eFigures 1-7. Exploratory Subgroup Analyses

eFigure 8. Forest Plot Showing Mortality in Subgroups

eFigures 9-23. Primary and Key Secondary End Points

eFigure 24. Kaplan Meier Survival Curve (All Groups)

eFigure 25. Cox Model

Click here for additional data file.^{(1.5MB, pdf)}

Supplement 4.

Data Sharing Statement

Click here for additional data file.^{(14.8KB, pdf)}

References

1.Lameire NH, Bagga A, Cruz D, et al. Acute kidney injury: an increasing global concern. Lancet. 2013;382(9887):170-179. doi: 10.1016/S0140-6736(13)60647-9 [DOI] [PubMed] [Google Scholar]
2.Hoste EA, Bagshaw SM, Bellomo R, et al. Epidemiology of acute kidney injury in critically ill patients: the multinational AKI-EPI study. Intensive Care Med. 2015;41(8):1411-1423. doi: 10.1007/s00134-015-3934-7 [DOI] [PubMed] [Google Scholar]
3.Kellum JA, Chawla LS, Keener C, et al. ; ProCESS and ProGReSS-AKI Investigators . The effects of alternative resuscitation strategies on acute kidney injury in patients with septic shock. Am J Respir Crit Care Med. 2016;193(3):281-287. doi: 10.1164/rccm.201505-0995OC [DOI] [PMC free article] [PubMed] [Google Scholar]
4.Chawla LS, Amdur RL, Amodeo S, Kimmel PL, Palant CE. The severity of acute kidney injury predicts progression to chronic kidney disease. Kidney Int. 2011;79(12):1361-1369. doi: 10.1038/ki.2011.42 [DOI] [PMC free article] [PubMed] [Google Scholar]
5.Gomez H, Ince C, De Backer D, et al. A unified theory of sepsis-induced acute kidney injury: inflammation, microcirculatory dysfunction, bioenergetics, and the tubular cell adaptation to injury. Shock. 2014;41(1):3-11. doi: 10.1097/SHK.0000000000000052 [DOI] [PMC free article] [PubMed] [Google Scholar]
6.Joannidis M, Druml W, Forni LG, et al. Prevention of acute kidney injury and protection of renal function in the intensive care unit: update 2017: expert opinion of the Working Group on Prevention, AKI section, European Society of Intensive Care Medicine. Intensive Care Med. 2017;43(6):730-749. doi: 10.1007/s00134-017-4832-y [DOI] [PMC free article] [PubMed] [Google Scholar]
7.Koyama I, Matsunaga T, Harada T, Hokari S, Komoda T. Alkaline phosphatases reduce toxicity of lipopolysaccharides in vivo and in vitro through dephosphorylation. Clin Biochem. 2002;35(6):455-461. doi: 10.1016/S0009-9120(02)00330-2 [DOI] [PubMed] [Google Scholar]
8.Picher M, Burch LH, Hirsh AJ, Spychala J, Boucher RC. Ecto 5′-nucleotidase and nonspecific alkaline phosphatase: 2 AMP-hydrolyzing ectoenzymes with distinct roles in human airways. J Biol Chem. 2003;278(15):13468-13479. doi: 10.1074/jbc.M300569200 [DOI] [PubMed] [Google Scholar]
9.Peters E, Masereeuw R, Pickkers P. The potential of alkaline phosphatase as a treatment for sepsis-associated acute kidney injury. Nephron Clin Pract. 2014;127(1-4):144-148. doi: 10.1159/000363256 [DOI] [PubMed] [Google Scholar]
10.Heemskerk S, Masereeuw R, Moesker O, et al. ; APSEP Study Group . Alkaline phosphatase treatment improves renal function in severe sepsis or septic shock patients. Crit Care Med. 2009;37(2):417-423. doi: 10.1097/CCM.0b013e31819598af [DOI] [PubMed] [Google Scholar]
11.Pickkers P, Heemskerk S, Schouten J, et al. Alkaline phosphatase for treatment of sepsis-induced acute kidney injury: a prospective randomized double-blind placebo-controlled trial. Crit Care. 2012;16(1):R14. doi: 10.1186/cc11159 [DOI] [PMC free article] [PubMed] [Google Scholar]
12.Kiffer-Moreira T, Sheen CR, Gasque KC, et al. Catalytic signature of a heat-stable, chimeric human alkaline phosphatase with therapeutic potential. PLoS One. 2014;9(2):e89374. doi: 10.1371/journal.pone.0089374 [DOI] [PMC free article] [PubMed] [Google Scholar]
13.Peters E, Stevens J, Arend J, et al. Biodistribution and translational pharmacokinetic modeling of a human recombinant alkaline phosphatase. Int J Pharm. 2015;495(1):122-131. doi: 10.1016/j.ijpharm.2015.08.090 [DOI] [PubMed] [Google Scholar]
14.Peters E, Ergin B, Kandil A, et al. Effects of a human recombinant alkaline phosphatase on renal hemodynamics, oxygenation and inflammation in 2 models of acute kidney injury. Toxicol Appl Pharmacol. 2016;313:88-96. doi: 10.1016/j.taap.2016.10.015 [DOI] [PubMed] [Google Scholar]
15.Peters E, Mehta RL, Murray PT, et al. Study protocol for a multicentre randomised controlled trial: Safety, tolerability, efficacy and quality of life of a human recombinant alkaline phosphatase in patients with sepsis-associated acute kidney injury (STOP-AKI). BMJ Open. 2016;6(9):e012371. doi: 10.1136/bmjopen-2016-012371 [DOI] [PMC free article] [PubMed] [Google Scholar]
16.Levy MM, Fink MP, Marshall JC, et al. ; SCCM/ESICM/ACCP/ATS/SIS . 2001 SCCM/ESICM/ACCP/ATS/SIS International Sepsis Definitions Conference. Crit Care Med. 2003;31(4):1250-1256. doi: 10.1097/01.CCM.0000050454.01978.3B [DOI] [PubMed] [Google Scholar]
17.Mehta RL, Kellum JA, Shah SV, et al. ; Acute Kidney Injury Network . Acute Kidney Injury Network: report of an initiative to improve outcomes in acute kidney injury. Crit Care. 2007;11(2):R31. doi: 10.1186/cc5713 [DOI] [PMC free article] [PubMed] [Google Scholar]
18.Wu J, Banerjee A, Jin B, Menon SM, Martin SW, Heatherington AC. Clinical dose-response for a broad set of biological products: a model-based meta-analysis. Stat Methods Med Res. 2018;27(9):2694-2721. doi: 10.1177/0962280216684528 [DOI] [PubMed] [Google Scholar]
19.Okusa MD, Davenport A. Reading between the (guide)lines—the KDIGO practice guideline on acute kidney injury in the individual patient. Kidney Int. 2014;85(1):39-48. doi: 10.1038/ki.2013.378 [DOI] [PMC free article] [PubMed] [Google Scholar]
20.Carlier M, Dumoulin A, Janssen A, et al. Comparison of different equations to assess glomerular filtration in critically ill patients. Intensive Care Med. 2015;41(3):427-435. doi: 10.1007/s00134-014-3641-9 [DOI] [PubMed] [Google Scholar]
21.Pickering JW, Frampton CM, Walker RJ, Shaw GM, Endre ZH. Four-hour creatinine clearance is better than plasma creatinine for monitoring renal function in critically ill patients. Crit Care. 2012;16(3):R107-R107. doi: 10.1186/cc11391 [DOI] [PMC free article] [PubMed] [Google Scholar]
22.Baumann TJ, Staddon JE, Horst HM, Bivins BA. Minimum urine collection periods for accurate determination of creatinine clearance in critically ill patients. Clin Pharm. 1987;6(5):393-398. [PubMed] [Google Scholar]
23.Bellomo R, Kellum JA, Ronco C. Acute kidney injury. Lancet. 2012;380(9843):756-766. doi: 10.1016/S0140-6736(11)61454-2 [DOI] [PubMed] [Google Scholar]
24.National Kidney Foundation CKD-EPI creatinine equation (2009). https://www.kidney.org/content/ckd-epi-creatinine-equation-2009. Accessed October 17, 2018.
25.Acute Kidney Injury Network AKIN studies. http://www.akinet.org/akinstudies.php. Accessed October 17, 2018.
26.Shemesh O, Golbetz H, Kriss JP, Myers BD. Limitations of creatinine as a filtration marker in glomerulopathic patients. Kidney Int. 1985;28(5):830-838. doi: 10.1038/ki.1985.205 [DOI] [PubMed] [Google Scholar]
27.Perrone RD, Madias NE, Levey AS. Serum creatinine as an index of renal function: new insights into old concepts. Clin Chem. 1992;38(10):1933-1953. [PubMed] [Google Scholar]
28.Kellum JA, Sileanu FE, Bihorac A, Hoste EA, Chawla LS. Recovery after acute kidney injury. Am J Respir Crit Care Med. 2017;195(6):784-791. doi: 10.1164/rccm.201604-0799OC [DOI] [PMC free article] [PubMed] [Google Scholar]
29.Kellum JA, Prowle JR. Paradigms of acute kidney injury in the intensive care setting. Nat Rev Nephrol. 2018;14(4):217-230. doi: 10.1038/nrneph.2017.184 [DOI] [PubMed] [Google Scholar]
30.Basile DP, Bonventre JV, Mehta R, et al. ; ADQI XIII Work Group . Progression after AKI: understanding maladaptive repair processes to predict and identify therapeutic treatments. J Am Soc Nephrol. 2016;27(3):687-697. doi: 10.1681/ASN.2015030309 [DOI] [PMC free article] [PubMed] [Google Scholar]
31.Humphreys BD. Mechanisms of renal fibrosis. Annu Rev Physiol. 2018;80(1):309-326. doi: 10.1146/annurev-physiol-022516-034227 [DOI] [PubMed] [Google Scholar]
32.Billings FT IV, Shaw AD. Clinical trial endpoints in acute kidney injury. Nephron Clin Pract. 2014;127(1-4):89-93. doi: 10.1159/000363725 [DOI] [PMC free article] [PubMed] [Google Scholar]
33.Peters E, Heemskerk S, Masereeuw R, Pickkers P. Alkaline phosphatase: a possible treatment for sepsis-associated acute kidney injury in critically ill patients. Am J Kidney Dis. 2014;63(6):1038-1048. doi: 10.1053/j.ajkd.2013.11.027 [DOI] [PubMed] [Google Scholar]
34.Khundmiri SJ, Asghar M, Khan F, Salim S, Yusufi AN. Effect of reversible and irreversible ischemia on marker enzymes of BBM from renal cortical PT subpopulations. Am J Physiol. 1997;273(6 Pt 2):F849-F856. [DOI] [PubMed] [Google Scholar]
35.Peters E, Geraci S, Heemskerk S, et al. Alkaline phosphatase protects against renal inflammation through dephosphorylation of lipopolysaccharide and adenosine triphosphate. Br J Pharmacol. 2015;172(20):4932-4945. doi: 10.1111/bph.13261 [DOI] [PMC free article] [PubMed] [Google Scholar]
36.Peters E, Heuberger JAAC, Tiessen R, et al. Pharmacokinetic modeling and dose selection in a randomized, double-blind, placebo-controlled trial of a human recombinant alkaline phosphatase in healthy volunteers. Clin Pharmacokinet. 2016;55(10):1227-1237. doi: 10.1007/s40262-016-0399-y [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplement 1.

Trial Protocol

Click here for additional data file.^{(2.9MB, pdf)}

Supplement 2.

Statistical Analysis Plan

Click here for additional data file.^{(1.7MB, pdf)}

Supplement 3.

eList 1. STOP-AKI Investigators

eMethods 1. Inclusion and Exclusion Criteria

eMethods 2. Interim Analysis

eMethods 3. Adjudication Rules

eMethods 4. Dose Rationale and Pharmacokinetics

eMethods 5. Blinding

eMethods 6. Study End Points

eMethods 7. Sample Size Calculations

eTable 1. Participating Sites

eTable 2. Primary and Secondary End Points

eTable 3. Multivariable Analysis for Overall Survival

eTable 4. Primary and Secondary End Points (All Groups)

eTable 5. Summary of Cause of Death by System Organ Class

eFigures 1-7. Exploratory Subgroup Analyses

eFigure 8. Forest Plot Showing Mortality in Subgroups

eFigures 9-23. Primary and Key Secondary End Points

eFigure 24. Kaplan Meier Survival Curve (All Groups)

eFigure 25. Cox Model

Click here for additional data file.^{(1.5MB, pdf)}

Supplement 4.

Data Sharing Statement

Click here for additional data file.^{(14.8KB, pdf)}

[joi180110r1] 1.Lameire NH, Bagga A, Cruz D, et al. Acute kidney injury: an increasing global concern. Lancet. 2013;382(9887):170-179. doi: 10.1016/S0140-6736(13)60647-9 [DOI] [PubMed] [Google Scholar]

[joi180110r2] 2.Hoste EA, Bagshaw SM, Bellomo R, et al. Epidemiology of acute kidney injury in critically ill patients: the multinational AKI-EPI study. Intensive Care Med. 2015;41(8):1411-1423. doi: 10.1007/s00134-015-3934-7 [DOI] [PubMed] [Google Scholar]

[joi180110r3] 3.Kellum JA, Chawla LS, Keener C, et al. ; ProCESS and ProGReSS-AKI Investigators . The effects of alternative resuscitation strategies on acute kidney injury in patients with septic shock. Am J Respir Crit Care Med. 2016;193(3):281-287. doi: 10.1164/rccm.201505-0995OC [DOI] [PMC free article] [PubMed] [Google Scholar]

[joi180110r4] 4.Chawla LS, Amdur RL, Amodeo S, Kimmel PL, Palant CE. The severity of acute kidney injury predicts progression to chronic kidney disease. Kidney Int. 2011;79(12):1361-1369. doi: 10.1038/ki.2011.42 [DOI] [PMC free article] [PubMed] [Google Scholar]

[joi180110r5] 5.Gomez H, Ince C, De Backer D, et al. A unified theory of sepsis-induced acute kidney injury: inflammation, microcirculatory dysfunction, bioenergetics, and the tubular cell adaptation to injury. Shock. 2014;41(1):3-11. doi: 10.1097/SHK.0000000000000052 [DOI] [PMC free article] [PubMed] [Google Scholar]

[joi180110r6] 6.Joannidis M, Druml W, Forni LG, et al. Prevention of acute kidney injury and protection of renal function in the intensive care unit: update 2017: expert opinion of the Working Group on Prevention, AKI section, European Society of Intensive Care Medicine. Intensive Care Med. 2017;43(6):730-749. doi: 10.1007/s00134-017-4832-y [DOI] [PMC free article] [PubMed] [Google Scholar]

[joi180110r7] 7.Koyama I, Matsunaga T, Harada T, Hokari S, Komoda T. Alkaline phosphatases reduce toxicity of lipopolysaccharides in vivo and in vitro through dephosphorylation. Clin Biochem. 2002;35(6):455-461. doi: 10.1016/S0009-9120(02)00330-2 [DOI] [PubMed] [Google Scholar]

[joi180110r8] 8.Picher M, Burch LH, Hirsh AJ, Spychala J, Boucher RC. Ecto 5′-nucleotidase and nonspecific alkaline phosphatase: 2 AMP-hydrolyzing ectoenzymes with distinct roles in human airways. J Biol Chem. 2003;278(15):13468-13479. doi: 10.1074/jbc.M300569200 [DOI] [PubMed] [Google Scholar]

[joi180110r9] 9.Peters E, Masereeuw R, Pickkers P. The potential of alkaline phosphatase as a treatment for sepsis-associated acute kidney injury. Nephron Clin Pract. 2014;127(1-4):144-148. doi: 10.1159/000363256 [DOI] [PubMed] [Google Scholar]

[joi180110r10] 10.Heemskerk S, Masereeuw R, Moesker O, et al. ; APSEP Study Group . Alkaline phosphatase treatment improves renal function in severe sepsis or septic shock patients. Crit Care Med. 2009;37(2):417-423. doi: 10.1097/CCM.0b013e31819598af [DOI] [PubMed] [Google Scholar]

[joi180110r11] 11.Pickkers P, Heemskerk S, Schouten J, et al. Alkaline phosphatase for treatment of sepsis-induced acute kidney injury: a prospective randomized double-blind placebo-controlled trial. Crit Care. 2012;16(1):R14. doi: 10.1186/cc11159 [DOI] [PMC free article] [PubMed] [Google Scholar]

[joi180110r12] 12.Kiffer-Moreira T, Sheen CR, Gasque KC, et al. Catalytic signature of a heat-stable, chimeric human alkaline phosphatase with therapeutic potential. PLoS One. 2014;9(2):e89374. doi: 10.1371/journal.pone.0089374 [DOI] [PMC free article] [PubMed] [Google Scholar]

[joi180110r13] 13.Peters E, Stevens J, Arend J, et al. Biodistribution and translational pharmacokinetic modeling of a human recombinant alkaline phosphatase. Int J Pharm. 2015;495(1):122-131. doi: 10.1016/j.ijpharm.2015.08.090 [DOI] [PubMed] [Google Scholar]

[joi180110r14] 14.Peters E, Ergin B, Kandil A, et al. Effects of a human recombinant alkaline phosphatase on renal hemodynamics, oxygenation and inflammation in 2 models of acute kidney injury. Toxicol Appl Pharmacol. 2016;313:88-96. doi: 10.1016/j.taap.2016.10.015 [DOI] [PubMed] [Google Scholar]

[joi180110r15] 15.Peters E, Mehta RL, Murray PT, et al. Study protocol for a multicentre randomised controlled trial: Safety, tolerability, efficacy and quality of life of a human recombinant alkaline phosphatase in patients with sepsis-associated acute kidney injury (STOP-AKI). BMJ Open. 2016;6(9):e012371. doi: 10.1136/bmjopen-2016-012371 [DOI] [PMC free article] [PubMed] [Google Scholar]

[joi180110r16] 16.Levy MM, Fink MP, Marshall JC, et al. ; SCCM/ESICM/ACCP/ATS/SIS . 2001 SCCM/ESICM/ACCP/ATS/SIS International Sepsis Definitions Conference. Crit Care Med. 2003;31(4):1250-1256. doi: 10.1097/01.CCM.0000050454.01978.3B [DOI] [PubMed] [Google Scholar]

[joi180110r17] 17.Mehta RL, Kellum JA, Shah SV, et al. ; Acute Kidney Injury Network . Acute Kidney Injury Network: report of an initiative to improve outcomes in acute kidney injury. Crit Care. 2007;11(2):R31. doi: 10.1186/cc5713 [DOI] [PMC free article] [PubMed] [Google Scholar]

[joi180110r18] 18.Wu J, Banerjee A, Jin B, Menon SM, Martin SW, Heatherington AC. Clinical dose-response for a broad set of biological products: a model-based meta-analysis. Stat Methods Med Res. 2018;27(9):2694-2721. doi: 10.1177/0962280216684528 [DOI] [PubMed] [Google Scholar]

[joi180110r19] 19.Okusa MD, Davenport A. Reading between the (guide)lines—the KDIGO practice guideline on acute kidney injury in the individual patient. Kidney Int. 2014;85(1):39-48. doi: 10.1038/ki.2013.378 [DOI] [PMC free article] [PubMed] [Google Scholar]

[joi180110r20] 20.Carlier M, Dumoulin A, Janssen A, et al. Comparison of different equations to assess glomerular filtration in critically ill patients. Intensive Care Med. 2015;41(3):427-435. doi: 10.1007/s00134-014-3641-9 [DOI] [PubMed] [Google Scholar]

[joi180110r21] 21.Pickering JW, Frampton CM, Walker RJ, Shaw GM, Endre ZH. Four-hour creatinine clearance is better than plasma creatinine for monitoring renal function in critically ill patients. Crit Care. 2012;16(3):R107-R107. doi: 10.1186/cc11391 [DOI] [PMC free article] [PubMed] [Google Scholar]

[joi180110r22] 22.Baumann TJ, Staddon JE, Horst HM, Bivins BA. Minimum urine collection periods for accurate determination of creatinine clearance in critically ill patients. Clin Pharm. 1987;6(5):393-398. [PubMed] [Google Scholar]

[joi180110r23] 23.Bellomo R, Kellum JA, Ronco C. Acute kidney injury. Lancet. 2012;380(9843):756-766. doi: 10.1016/S0140-6736(11)61454-2 [DOI] [PubMed] [Google Scholar]

[joi180110r24] 24.National Kidney Foundation CKD-EPI creatinine equation (2009). https://www.kidney.org/content/ckd-epi-creatinine-equation-2009. Accessed October 17, 2018.

[joi180110r25] 25.Acute Kidney Injury Network AKIN studies. http://www.akinet.org/akinstudies.php. Accessed October 17, 2018.

[joi180110r26] 26.Shemesh O, Golbetz H, Kriss JP, Myers BD. Limitations of creatinine as a filtration marker in glomerulopathic patients. Kidney Int. 1985;28(5):830-838. doi: 10.1038/ki.1985.205 [DOI] [PubMed] [Google Scholar]

[joi180110r27] 27.Perrone RD, Madias NE, Levey AS. Serum creatinine as an index of renal function: new insights into old concepts. Clin Chem. 1992;38(10):1933-1953. [PubMed] [Google Scholar]

[joi180110r28] 28.Kellum JA, Sileanu FE, Bihorac A, Hoste EA, Chawla LS. Recovery after acute kidney injury. Am J Respir Crit Care Med. 2017;195(6):784-791. doi: 10.1164/rccm.201604-0799OC [DOI] [PMC free article] [PubMed] [Google Scholar]

[joi180110r29] 29.Kellum JA, Prowle JR. Paradigms of acute kidney injury in the intensive care setting. Nat Rev Nephrol. 2018;14(4):217-230. doi: 10.1038/nrneph.2017.184 [DOI] [PubMed] [Google Scholar]

[joi180110r30] 30.Basile DP, Bonventre JV, Mehta R, et al. ; ADQI XIII Work Group . Progression after AKI: understanding maladaptive repair processes to predict and identify therapeutic treatments. J Am Soc Nephrol. 2016;27(3):687-697. doi: 10.1681/ASN.2015030309 [DOI] [PMC free article] [PubMed] [Google Scholar]

[joi180110r31] 31.Humphreys BD. Mechanisms of renal fibrosis. Annu Rev Physiol. 2018;80(1):309-326. doi: 10.1146/annurev-physiol-022516-034227 [DOI] [PubMed] [Google Scholar]

[joi180110r32] 32.Billings FT IV, Shaw AD. Clinical trial endpoints in acute kidney injury. Nephron Clin Pract. 2014;127(1-4):89-93. doi: 10.1159/000363725 [DOI] [PMC free article] [PubMed] [Google Scholar]

[joi180110r33] 33.Peters E, Heemskerk S, Masereeuw R, Pickkers P. Alkaline phosphatase: a possible treatment for sepsis-associated acute kidney injury in critically ill patients. Am J Kidney Dis. 2014;63(6):1038-1048. doi: 10.1053/j.ajkd.2013.11.027 [DOI] [PubMed] [Google Scholar]

[joi180110r34] 34.Khundmiri SJ, Asghar M, Khan F, Salim S, Yusufi AN. Effect of reversible and irreversible ischemia on marker enzymes of BBM from renal cortical PT subpopulations. Am J Physiol. 1997;273(6 Pt 2):F849-F856. [DOI] [PubMed] [Google Scholar]

[joi180110r35] 35.Peters E, Geraci S, Heemskerk S, et al. Alkaline phosphatase protects against renal inflammation through dephosphorylation of lipopolysaccharide and adenosine triphosphate. Br J Pharmacol. 2015;172(20):4932-4945. doi: 10.1111/bph.13261 [DOI] [PMC free article] [PubMed] [Google Scholar]

[joi180110r36] 36.Peters E, Heuberger JAAC, Tiessen R, et al. Pharmacokinetic modeling and dose selection in a randomized, double-blind, placebo-controlled trial of a human recombinant alkaline phosphatase in healthy volunteers. Clin Pharmacokinet. 2016;55(10):1227-1237. doi: 10.1007/s40262-016-0399-y [DOI] [PMC free article] [PubMed] [Google Scholar]

PERMALINK

Effect of Human Recombinant Alkaline Phosphatase on 7-Day Creatinine Clearance in Patients With Sepsis-Associated Acute Kidney Injury

Peter Pickkers, MD, PhD

Ravindra L Mehta, MD

Patrick T Murray, MD

Michael Joannidis, MD

Bruce A Molitoris, MD

John A Kellum, MD

Mirjam Bachler, PhD

Eric A J Hoste, MD, PhD

Oscar Hoiting, MD

Kenneth Krell, MD

Marlies Ostermann, MD, PhD

Wim Rozendaal, MD

Miia Valkonen, MD, PhD

David Brealey, MD, PhD

Albertus Beishuizen, MD, PhD

Ferhat Meziani, MD, PhD

Raghavan Murugan, MD, MS, FRCP

Hilde de Geus, MD, PhD

Didier Payen, MD, PhD

Erik van den Berg, MSc

Jacques Arend, MD

Key Points

Question

Findings

Meaning

Abstract

Importance

Objective

Design, Setting, and Participants

Interventions

Main Outcomes and Measures

Results

Conclusions and Relevance

Trial Registration

Introduction

Methods

Trial Design and Participants

Trial Oversight

Randomization and Study Medication

Outcome Measures

Primary End Point

Key Secondary End Point

Secondary End Points

Other End Points

Adverse Events

Statistical Analyses

Results

Participants

Figure 1. Flow of Patients Through the STOP-AKI Trial of Recombinant Alkaline Phosphatase in Acute Kidney Injury (AKI).

Table 1. Demographic and Baseline Disease Characteristics of Patients Who Were Critically Ill With Sepsis-Associated Acute Kidney Injury Treated With Recombinant Alkaline Phosphatase vs Placebo, Intention-to-Treat Population.

Primary End Point

Figure 2. Endogenous Creatinine Clearance (ECC) Among Patients Who Were Critically Ill With Sepsis-Associated Acute Kidney Infection.

Secondary End Points

Other End Points

Adverse Events

Table 2. Adverse Events and Serious Adverse Events in the First 28 Days Among Patients Who Were Critically Ill With Sepsis-Associated Acute Kidney Injury Treated With Recombinant Alkaline Phosphatase vs Placebo, in the Safety Data Populationa.

Figure 3. Cumulative Incidence of Fatal Events From Baseline to 90 Days for All Treatment Groups in the Safety Data Population of Patients Who Were Critically Ill With Sepsis-Associated Acute Kidney Infection.

Post Hoc Analyses

Discussion

Limitations

Conclusions

References

Associated Data

Supplementary Materials

ACTIONS

PERMALINK

RESOURCES

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Table 2. Adverse Events and Serious Adverse Events in the First 28 Days Among Patients Who Were Critically Ill With Sepsis-Associated Acute Kidney Injury Treated With Recombinant Alkaline Phosphatase vs Placebo, in the Safety Data Population^a.