The combination of kidney function variables with cell cycle arrest biomarkers identifies distinct subphenotypes of sepsis-associated acute kidney injury: a post-hoc analysis (the PHENAKI study)

Dimitri Titeca-Beauporta Medical Intensive Care Unit and EA7517, Boreal Study Group, Amiens University Hospital, Amiens, FranceCorrespondence[email protected]

https://orcid.org/0000-0003-2514-4193

Momar Dioufb Department of Statistics, Amiens University Hospital, Amiens, France

Delphine Daubinc Department of Intensive Care Medicine, Lapeyronie University Hospital, PhyMedExp, University of Montpellier, INSERM, CNRS, Montpellier, France

Ly Van Vongd Intensive Care Unit, Groupe Hospitalier Sud Ile de France, Melun, France

Guillaume Belliarde Medical-Surgical Intensive Care Unit, Centre Hospitalier de Bretagne Sud, Lorient, France

Cédric Bruelf Medical and Surgical Intensive Care Unit, Groupe Hospitalier Paris Saint Joseph, Paris, France

Yoann Zerbiba Medical Intensive Care Unit and EA7517, Boreal Study Group, Amiens University Hospital, Amiens, France

Christophe Vinsonneaug Intensive Care Unit, Boreal Study Group, Hôpital de Bethune, Bethune, France

Kada Klouchec Department of Intensive Care Medicine, Lapeyronie University Hospital, PhyMedExp, University of Montpellier, INSERM, CNRS, Montpellier, France

Julien Maizela Medical Intensive Care Unit and EA7517, Boreal Study Group, Amiens University Hospital, Amiens, France

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The combination of kidney function variables with cell cycle arrest biomarkers identifies distinct subphenotypes of sepsis-associated acute kidney injury: a post-hoc analysis (the PHENAKI study)

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The combination of kidney function variables with cell cycle arrest biomarkers identifies distinct subphenotypes of sepsis-associated acute kidney injury: a post-hoc analysis (the PHENAKI study)

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