EBioMedicine (Jun 2022)
Dynamics of circulating calprotectin accurately predict the outcome of moderate COVID-19 patients
- Nicolas Chapuis,
- Nusaibah Ibrahimi,
- Thibaut Belmondo,
- Claire Goulvestre,
- Anne-Emmanuelle Berger,
- Alice-Andrée Mariaggi,
- Muriel Andrieu,
- Camille Chenevier-Gobeaux,
- Arnaud Bayle,
- Lydia Campos,
- Cherifa Cheurfa,
- Richard Chocron,
- Jean-Luc Diehl,
- Benoît Doumenc,
- Jérôme Duchemin,
- Manon Duprat,
- Fabien François,
- Nicolas Gendron,
- Tristant Mirault,
- Frédéric Pène,
- Aurélien Philippe,
- Fanny Pommeret,
- Olivier Sanchez,
- David M. Smadja,
- Tali-Anne Szwebel,
- Aymeric Silvin,
- Florent Ginhoux,
- Ludovic Lacroix,
- Gérôme Jules-Clément,
- Sarobidy Rapeteramana,
- Colette Mavier,
- Laura Steller,
- Barbara Perniconi,
- Fabrice André,
- Damien Drubay,
- Michaela Fontenay,
- Sophie Hüe,
- Stéphane Paul,
- Eric Solary
Affiliations
- Nicolas Chapuis
- Laboratory of Hematology, Assistance Publique-Hôpitaux de Paris, Cochin Hospital, Paris, France; Université de Paris, Institut Cochin, CNRS UMR8104, INSERM U1016, Paris, France
- Nusaibah Ibrahimi
- Department of Biostatistics and Epidemiology, Gustave Roussy Cancer Center, Villejuif, France; Université Paris-Saclay, INSERM U1018, Gustave Roussy Cancer Center, Villejuif, France
- Thibaut Belmondo
- Laboratory of Immunology, Assistance Publique-Hôpitaux de Paris, Groupe Hospitalier Henri Mondor, Créteil, France
- Claire Goulvestre
- Laboratory of Immunology, Assistance Publique-Hôpitaux de Paris, Cochin Hospital, Paris, France
- Anne-Emmanuelle Berger
- Department of Immunology, University Hospital of Saint Etienne, CIC1408, GIMAP EA3064, Saint Etienne, France
- Alice-Andrée Mariaggi
- Université de Paris, Institut Cochin, CNRS UMR8104, INSERM U1016, Paris, France; Assistance Publique-Hôpitaux de Paris, Laboratory of Virology, Cochin hospital, Paris, France
- Muriel Andrieu
- Université de Paris, Institut Cochin, CNRS UMR8104, INSERM U1016, Paris, France
- Camille Chenevier-Gobeaux
- Department of automated biological diagnosis, Assistance Publique-Hôpitaux de Paris, Cochin Hospital, Paris, France
- Arnaud Bayle
- Department of Biostatistics and Epidemiology, Gustave Roussy Cancer Center, Villejuif, France; Université Paris-Saclay, INSERM U1018, Gustave Roussy Cancer Center, Villejuif, France; Drug Development Department, Gustave Roussy Cancer Center, Villejuif, France
- Lydia Campos
- Department of Hematology, University Hospital of Saint Etienne, Saint Etienne, France
- Cherifa Cheurfa
- Department of Anesthesiology and Intensive care, Assistance Publique-Hôpitaux de Paris, Cochin hospital, Paris, France
- Richard Chocron
- Department of Emergency, Assistance Publique-Hôpitaux de Paris, European Georges Pompidou Hospital, Paris, France; Paris Cardiovascular Research Center (PARCC), Université de Paris, INSERM U970, European Georges Pompidou Hospital, Paris, France
- Jean-Luc Diehl
- Medical Intensive Care Department and Biosurgical Research Lab (Carpentier Foundation), Assistance Publique-Hôpitaux de Paris, Georges Pompidou European Hospital, Paris, France; Université de Paris, Innovative Therapies in Haemostasis, INSERM U1140, Paris France
- Benoît Doumenc
- Department of Emergencies, Assistance Publique-Hôpitaux de Paris, Cochin Hospital, Paris, France
- Jérôme Duchemin
- Laboratory of Hematology, Assistance Publique-Hôpitaux de Paris, Cochin Hospital, Paris, France
- Manon Duprat
- Department of Immunology, University Hospital of Saint Etienne, CIC1408, GIMAP EA3064, Saint Etienne, France
- Fabien François
- Department of Immunology, University Hospital of Saint Etienne, CIC1408, GIMAP EA3064, Saint Etienne, France
- Nicolas Gendron
- Université de Paris, Innovative Therapies in Haemostasis, INSERM U1140, Paris France; Department of Emergencies, Assistance Publique-Hôpitaux de Paris, Cochin Hospital, Paris, France
- Tristant Mirault
- Paris Cardiovascular Research Center (PARCC), Université de Paris, INSERM U970, European Georges Pompidou Hospital, Paris, France
- Frédéric Pène
- Université de Paris, Institut Cochin, CNRS UMR8104, INSERM U1016, Paris, France; Assistance Publique-Hôpitaux de Paris, Medical Intensive Care, Cochin hospital, Paris, France
- Aurélien Philippe
- Université de Paris, Innovative Therapies in Haemostasis, INSERM U1140, Paris France; Department of Biological Hematology, Assistance Publique-Hôpitaux de Paris, Georges Pompidou European Hospital, Paris France; Laboratory of Hematology and Biosurgical Research (Carpentier Foundation)Assistance Publique-Hôpitaux de Paris, European Georges Pompidou Hospital, Paris, France
- Fanny Pommeret
- Medical Oncology Department, Gustave Roussy Cancer Center, Villejuif, France
- Olivier Sanchez
- Université de Paris, Innovative Therapies in Haemostasis, INSERM U1140, Paris France; Department of Pneumology and Intensive Care, Assistance Publique-Hôpitaux de Paris, European Georges Pompidou Hospital, Paris, France
- David M. Smadja
- Université de Paris, Innovative Therapies in Haemostasis, INSERM U1140, Paris France; Department of Biological Hematology, Assistance Publique-Hôpitaux de Paris, Georges Pompidou European Hospital, Paris France
- Tali-Anne Szwebel
- Internal Medicine Department, Assistance Publique-Hôpitaux de Paris, Cochin hospital, Paris, France
- Aymeric Silvin
- University Paris-Saclay, INSERM U1015, Gustave Roussy Cancer Center, Villejuif, France
- Florent Ginhoux
- University Paris-Saclay, INSERM U1015, Gustave Roussy Cancer Center, Villejuif, France
- Ludovic Lacroix
- Department of Biopathology, Gustave Roussy Cancer Center, Villejuif, France
- Gérôme Jules-Clément
- Gustave Roussy Cancer Center, Bioinformatics platform, Université Paris-Saclay, INSERM US23, CNRS UMS 3655, Villejuif, France
- Sarobidy Rapeteramana
- Gustave Roussy Cancer Center, Bioinformatics platform, Université Paris-Saclay, INSERM US23, CNRS UMS 3655, Villejuif, France
- Colette Mavier
- Thermofisher immunodiagnostics, Dardilly, France
- Laura Steller
- Thermo Fisher Scientific ImmunoDiagnostics, Phadia GmbH, Freiburg, Germany
- Barbara Perniconi
- CerbaXpert Alliance, Saint Ouen L'Aumone, France
- Fabrice André
- Medical Oncology Department, Gustave Roussy Cancer Center, Villejuif, France
- Damien Drubay
- Department of Biostatistics and Epidemiology, Gustave Roussy Cancer Center, Villejuif, France; Université Paris-Saclay, INSERM U1018, Gustave Roussy Cancer Center, Villejuif, France
- Michaela Fontenay
- Laboratory of Hematology, Assistance Publique-Hôpitaux de Paris, Cochin Hospital, Paris, France; Université de Paris, Institut Cochin, CNRS UMR8104, INSERM U1016, Paris, France; Laboratory of Immunology, Assistance Publique-Hôpitaux de Paris, Cochin Hospital, Paris, France
- Sophie Hüe
- Laboratory of Immunology, Assistance Publique-Hôpitaux de Paris, Groupe Hospitalier Henri Mondor, Créteil, France
- Stéphane Paul
- Department of Immunology, University Hospital of Saint Etienne, CIC1408, GIMAP EA3064, Saint Etienne, France
- Eric Solary
- Université Paris-Saclay, INSERM U1287, Gustave Roussy Cancer Center, 114 rue Edouard Vaillant, Villejuif 94805, France; Department of Hematology, Gustave Roussy Cancer Center, Villejuif, France; Corresponding author at: Université Paris-Saclay, INSERM U1287, Gustave Roussy Cancer Center, 114 rue Edouard Vaillant, Villejuif 94805, France.
- Journal volume & issue
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Vol. 80
p. 104077
Abstract
Summary: Background: Severe COVID-19 is associated with a high circulating level of calprotectin, the S100A8/S100A9 alarmin heterodimer. Baseline calprotectin amount measured in peripheral blood at diagnosis correlates with disease severity. The optimal use of this biomarker along COVID-19 course remains to be delineated. Methods: We focused on patients with a WHO-defined moderate COVID-19 requiring hospitalization in a medical ward. We collected plasma and serum from three independent cohorts (N = 626 patients) and measured calprotectin amount at admission. We performed longitudinal measures of calprotectin in 457 of these patients (1461 samples) and used a joint latent class mixture model in which classes were defined by age, body mass index and comorbidities to identify calprotectin trajectories predicting the risk of transfer into an intensive care unit or death. Findings: After adjustment for age, sex, body mass index and comorbidities, the predictive value of baseline calprotectin in patients with moderate COVID19 could be refined by serial monitoring of the biomarker. We discriminated three calprotectin trajectories associated with low, moderate, and high risk of poor outcome, and we designed an algorithm available as online software (https://calpla.gustaveroussy.fr:8443/) to monitor the probability of a poor outcome in individual patients with moderate COVID-19. Interpretation: These results emphasize the clinical interest of serial monitoring of calprotectin amount in the peripheral blood to anticipate the risk of poor outcomes in patients with moderate COVID-19 hospitalized in a standard care unit. Funding: The study received support (research grants) from ThermoFisher immunodiagnostics (France) and Gustave Roussy Foundation.