The Role of Cell Cycle Arrest Biomarkers for Predicting Acute Kidney Injury in Critically Ill COVID-19 Patients: A Multicenter, Observational Study

Author:

Weiss Raphael1,von Groote Thilo1,Ostermann Marlies2,Lumlertgul Nuttha234,Weerapolchai Kittisak25,Garcia Manuel Ignacio Monge6,Cano Jose Maria Martin6,del Corral Beatriz Diez6,Broch-Porcar María Jesús7,Perez Carrasco Marcos89,De la Vega Sanchez Arsenio8,Sousa Eduardo10,Catarino Ana10,Roig Antonio Jorge Betbesé11,Martinez de Irujo Jaume Baldira11,de Rosa Silvia12,de la Peña Manuel Garcia-Montesinos13,Tomasa Teresa14,Brivio Matteo15,De Molina Francisco Javier Gonzalez16,Gerss Joachim17,Kellum John A.18,Wempe Carola1,Leidereiter Anna1,Meersch Melanie1,Zarbock Alexander1

Affiliation:

1. Department of Anesthesiology, Intensive Care Medicine and Pain Medicine, University Hospital Münster, Münster, Germany.

2. Department of Critical Care, Guy’s & St Thomas’ NHS Foundation Trust, London, United Kingdom.

3. Division of Nephrology, Department of Internal Medicine and Excellence Centre in Critical Care Nephrology, King Chulalongkorn Memorial Hospital, Bangkok, Thailand.

4. Centre of Excellence in Critical Care Nephrology, Division of Nephrology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.

5. Division of Urology, Royal Thai Navy, Somdech Phra Pinklao Hospital, Bangkok, Thailand.

6. Department of Critical Care Medicine, University Hospital SAS de Jerez, Jerez de la Frontera, Spain.

7. Department of Critical Care, Hospital La Fe, Valencia, Spain.

8. Critical Care Department, Hospital Universitari Vall d’Hebron, Barcelona, Spain.

9. Spain; Shock, Organ Dysfunction and Resuscitation (SODIR), Critical Care Department, Hospital Universitari Vall d’Hebron, Barcelona, Spain.

10. Department of Critical Care, Centro Hospitalare e Universitario de Coimbra, Coimbra, Portugal.

11. Department of Critical Care Medicine, Hospital Sant Pau, Barcelona, Spain.

12. Department of Anesthesia and Intensive Care, San Bortolo Hospital, Vicenza, Italy.

13. Department of Intensive Care, Complejo Hospitalario de Navarra, Navarra, Spain.

14. Department of Intensive Care, Hospital Germans Trias I Pujol, Barcelona, Spain.

15. Emergency and Critical Care Medicine Department, Papa Giovanni XXIII Hospital, Bergamo, Italy.

16. Department of Critical Care Medicine, Hospital Universitario Mutua Terrasa, Barcelona, Spain.

17. Institute of Biostatistics and Clinical Research, Medical Faculty, University of Münster, Münster, Germany.

18. The Center for Critical Care Nephrology, CRISMA, Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA.

Abstract

OBJECTIVES: Patients with COVID-19–associated acute respiratory distress syndrome (ARDS) have a high risk for developing acute kidney injury (AKI) which is associated with an increased risk of death and persistent renal failure. Early prediction of AKI is crucial in order to implement preventive strategies. The purpose of this study was to investigate the predictive performance of tissue inhibitor of metalloproteinases 2 and insulin like growth factor binding protein 7 (TIMP-2) × (IGFBP7) in critically ill patients with COVID-19–associated ARDS. DESIGN: Multicenter, prospective, observational study. SETTING: Twelve centers across Europe and United Kingdom. PATIENTS: Patients with moderate or severe COVID-19–associated ARDS were included and serial measurements of (TIMP-2) × (IGFBP7) were performed. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: The primary endpoint was the development of moderate or severe AKI according to the Kidney Disease: Improving Global Outcomes definition. Three hundred patients were available for the primary analysis, and 39 met the primary endpoint. At enrollment, urinary (TIMP-2) × (IGFBP7) had high predictive value for the primary endpoint with an area under the receiver operating characteristic curve of 0.89 (95% CI, 0.84–0.93). (TIMP-2) × (IGFBP7) was significantly higher in endpoint-positive patients at enrollment and at 12 hours. CONCLUSIONS: Urinary (TIMP-2) × (IGFBP7) predicts the occurrence of AKI in critically ill patients with COVID-19–associated ARDS.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Critical Care and Intensive Care Medicine

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