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Lavalley-Morelle A, Peiffer-Smadja N, Gressens SB, Souhail B, Lahens A, Bounhiol A, Lescure FX, Mentré F, Mullaert J. Multivariate joint model under competing risks to predict death of hospitalized patients for SARS-CoV-2 infection. Biom J 2024; 66:e2300049. [PMID: 37915123 DOI: 10.1002/bimj.202300049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 06/18/2023] [Accepted: 07/26/2023] [Indexed: 11/03/2023]
Abstract
During the coronavirus disease 2019 (COVID-19) pandemic, several clinical prognostic scores have been proposed and evaluated in hospitalized patients, relying on variables available at admission. However, capturing data collected from the longitudinal follow-up of patients during hospitalization may improve prediction accuracy of a clinical outcome. To answer this question, 327 patients diagnosed with COVID-19 and hospitalized in an academic French hospital between January and July 2020 are included in the analysis. Up to 59 biomarkers were measured from the patient admission to the time to death or discharge from hospital. We consider a joint model with multiple linear or nonlinear mixed-effects models for biomarkers evolution, and a competing risks model involving subdistribution hazard functions for the risks of death and discharge. The links are modeled by shared random effects, and the selection of the biomarkers is mainly based on the significance of the link between the longitudinal and survival parts. Three biomarkers are retained: the blood neutrophil counts, the arterial pH, and the C-reactive protein. The predictive performances of the model are evaluated with the time-dependent area under the curve (AUC) for different landmark and horizon times, and compared with those obtained from a baseline model that considers only information available at admission. The joint modeling approach helps to improve predictions when sufficient information is available. For landmark 6 days and horizon of 30 days, we obtain AUC [95% CI] 0.73 [0.65, 0.81] and 0.81 [0.73, 0.89] for the baseline and joint model, respectively (p = 0.04). Statistical inference is validated through a simulation study.
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Affiliation(s)
| | - Nathan Peiffer-Smadja
- Université Paris Cité, INSERM, IAME, Paris, France
- Department of Infectious and Tropical Diseases, AP-HP, Bichat-Claude Bernard University Hospital, Paris, France
| | - Simon B Gressens
- Department of Infectious and Tropical Diseases, AP-HP, Bichat-Claude Bernard University Hospital, Paris, France
| | - Bérénice Souhail
- Department of Infectious and Tropical Diseases, AP-HP, Bichat-Claude Bernard University Hospital, Paris, France
| | - Alexandre Lahens
- Department of Infectious and Tropical Diseases, AP-HP, Bichat-Claude Bernard University Hospital, Paris, France
| | - Agathe Bounhiol
- Department of Infectious and Tropical Diseases, AP-HP, Bichat-Claude Bernard University Hospital, Paris, France
| | - François-Xavier Lescure
- Université Paris Cité, INSERM, IAME, Paris, France
- Department of Infectious and Tropical Diseases, AP-HP, Bichat-Claude Bernard University Hospital, Paris, France
| | - France Mentré
- Université Paris Cité, INSERM, IAME, Paris, France
- Department of Epidemiology, Biostatistics and Clinical Research, AP-HP, Bichat-Claude Bernard University Hospital, Paris, France
| | - Jimmy Mullaert
- Université Paris Cité, INSERM, IAME, Paris, France
- Department of Epidemiology, Biostatistics and Clinical Research, AP-HP, Bichat-Claude Bernard University Hospital, Paris, France
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Bounhiol A, Pasquier G, Novara A, Bougnoux ME, Dannaoui E. Aspergillus detection in airways of ICU COVID-19 patients: To treat or not to treat? J Mycol Med 2022; 32:101290. [PMID: 35569323 PMCID: PMC9045860 DOI: 10.1016/j.mycmed.2022.101290] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2021] [Revised: 04/20/2022] [Accepted: 04/22/2022] [Indexed: 12/14/2022]
Abstract
It is now well known that patients with severe COVID-19 are at risk for developing invasive pulmonary aspergillosis (IPA). Nevertheless, the symptomatology of IPA is often atypical in mechanically ventilated patients and the radiological aspects of SARS CoV-2 pneumonia and IPA are difficult to differentiate. In this context, the significance of the presence of Aspergillus in respiratory tract samples (detected by culture, galactomannan antigen, or specific PCR) is not yet fully understood. Here we report two cases of intubated and mechanically ventilated ICU patients with SARS-CoV-2 pneumonia, in whom Aspergillus was detected in respiratory samples, who had a favorable outcome in the absence of antifungal treatment. These two cases highlight the difficulty of using the new definitions of COVID-19 associated pulmonary aspergillosis for routine management of patients.
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Affiliation(s)
- Agathe Bounhiol
- Microbiology Department, Parasitology-Mycology Unit, Faculty of Medicine, Paris University, AP–HP, European Georges-Pompidou Hospital, 75015 Paris, France
| | - Grégoire Pasquier
- Microbiology Department, Parasitology-Mycology Unit, Faculty of Medicine, Paris University, Necker-Enfants Maladies Hospital, 75015 Paris, France
| | - Ana Novara
- Medical Intensive Care Unit, Faculty of Medicine, Paris-Descartes University, AP–HP, European Georges-Pompidou Hospital, 75015 Paris, France
| | - Marie-Elisabeth Bougnoux
- Microbiology Department, Parasitology-Mycology Unit, Faculty of Medicine, Paris University, Necker-Enfants Maladies Hospital, 75015 Paris, France,Fungal Biology and Pathogenicity. Institut Pasteur, Paris, France
| | - Eric Dannaoui
- Microbiology Department, Parasitology-Mycology Unit, Faculty of Medicine, Paris University, AP–HP, European Georges-Pompidou Hospital, 75015 Paris, France,Dynamyc EA 7380, Paris-Créteil University, Créteil, France,Corresponding author: Unité de Parasitologie - Mycologie. Laboratoire de Microbiologie, Hôpital Européen Georges Pompidou, 20 rue Leblanc, 75908 Paris Cedex 15, AP-HP. Centre – Université de Paris, France
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Pasquier G, Bounhiol A, Robert Gangneux F, Zahar JR, Gangneux JP, Novara A, Bougnoux ME, Dannaoui E. A review of significance of Aspergillus detection in airways of ICU COVID-19 patients. Mycoses 2021; 64:980-988. [PMID: 34143533 PMCID: PMC8447125 DOI: 10.1111/myc.13341] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 05/31/2021] [Accepted: 06/05/2021] [Indexed: 01/20/2023]
Abstract
It is now well known that patients with SARS-CoV-2 infection admitted in ICU and mechanically ventilated are at risk of developing invasive pulmonary aspergillosis (IPA). Nevertheless, symptomatology of IPA is often atypical in mechanically ventilated patients, and radiological aspects in SARS-CoV-2 pneumonia and IPA are difficult to differentiate. In this context, the significance of the presence of Aspergillus in airway specimens (detected by culture, galactomannan antigen or specific PCR) remains to be fully understood. To decipher the relevance of the detection of Aspergillus, we performed a comprehensive review of all published cases of respiratory Aspergillus colonisation and IPA in COVID-19 patients. The comparison of patients receiving or not antifungal treatment allowed us to highlight the most important criteria for the decision to treat. The comparison of surviving and non-surviving patients made it possible to unveil criteria associated with mortality that should be taken into account in the treatment decision.
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Affiliation(s)
- Grégoire Pasquier
- Microbiology Department, Parasitology-Mycology Unit, Faculty of Medicine, Paris University, Necker-Enfants maladies Hospital, Paris, France
| | - Agathe Bounhiol
- Microbiology Department, Parasitology-Mycology Unit, Faculty of Medicine, Paris University, AP-HP, European Georges-Pompidou Hospital, Paris, France
| | - Florence Robert Gangneux
- Parasitology-Mycology Department, Centre Hospitalier Universitaire de Rennes, Rennes, France.,Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail), UMR_S 1085, University Rennes, Rennes, France
| | | | - Jean Pierre Gangneux
- Parasitology-Mycology Department, Centre Hospitalier Universitaire de Rennes, Rennes, France.,Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail), UMR_S 1085, University Rennes, Rennes, France
| | - Ana Novara
- Medical Intensive Care Unit, Faculty of Medicine, Paris-Descartes University, AP-HP, European Georges-Pompidou Hospital, Paris, France
| | - Marie-Elisabeth Bougnoux
- Microbiology Department, Parasitology-Mycology Unit, Faculty of Medicine, Paris University, Necker-Enfants maladies Hospital, Paris, France.,Fungal biology and Pathogenicity. Institut Pasteur, Paris, France
| | - Eric Dannaoui
- Microbiology Department, Parasitology-Mycology Unit, Faculty of Medicine, Paris University, AP-HP, European Georges-Pompidou Hospital, Paris, France.,Dynamyc EA 7380, Paris-Créteil University, Créteil, France
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Bounhiol A, Schemoul J, Medina F, Belkacem A, Paoletti G, Fabre C, Jouenne R, Caraux-Paz P, Vignier N, Raffetin A. Parcours de soins des patients présentant une suspicion de borréliose de Lyme en ville et adressés dans un centre de prise en charge pluridisciplinaire hospitalier : quel apport ? Med Mal Infect 2020. [DOI: 10.1016/j.medmal.2020.06.427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Raffetin A, Belkacem A, Bounhiol A, Diallo K, Schemoul J, Paoletti G, Lim L, Medina F, Caraux-Paz P, Patey O. Être ou ne pas être une borréliose de Lyme ? Une approche pluridisciplinaire pour un diagnostic plus juste et un parcours de soin personnalisé. Med Mal Infect 2019. [DOI: 10.1016/j.medmal.2019.04.269] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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