Long pentraxin 3 (PTX3) levels predict death, intubation and thrombotic events among hospitalized patients with COVID-19.


Journal

Frontiers in immunology
ISSN: 1664-3224
Titre abrégé: Front Immunol
Pays: Switzerland
ID NLM: 101560960

Informations de publication

Date de publication:
2022
Historique:
received: 01 05 2022
accepted: 17 10 2022
entrez: 17 11 2022
pubmed: 18 11 2022
medline: 22 11 2022
Statut: epublish

Résumé

PTX3 is an important mediator of inflammation and innate immunity. We aimed at assessing its prognostic value in a large cohort of patients hospitalized with COVID-19. Levels of PTX3 were measured in 152 patients hospitalized with COVID-19 at San Gerardo Hospital (Monza, Italy) since March 2020. Cox regression was used to identify predictors of time from admission to in-hospital death or mechanical ventilation. Crude incidences of death were compared between patients with PTX3 levels higher or lower than the best cut-off estimated with the Maximally Selected Rank Statistics Method. Upon admission, 22% of the patients required no oxygen, 46% low-flow oxygen, 30% high-flow nasal cannula or CPAP-helmet and 3% MV. Median level of PTX3 was 21.7 (IQR: 13.5-58.23) ng/ml. In-hospital mortality was 25% (38 deaths); 13 patients (8.6%) underwent MV. PTX3 was associated with risk of death (per 10 ng/ml, HR 1.08; 95%CI 1.04-1.11; P<0.001) and death/MV (HR 1.04; 95%CI 1.01-1.07; P=0.011), independently of other predictors of in-hospital mortality, including age, Charlson Comorbidity Index, D-dimer and C-reactive protein (CRP). Patients with PTX3 levels above the optimal cut-off of 39.32 ng/ml had significantly higher mortality than the others (55% vs 8%, P<0.001). Higher PTX3 plasma levels were found in 14 patients with subsequent thrombotic complications (median [IQR]: 51.4 [24.6-94.4] High PTX3 levels in patients hospitalized with COVID-19 are associated with a worse outcome. The evaluation of this marker could be useful in prognostic stratification and identification of patients who could benefit from immunomodulant therapy.

Sections du résumé

Background
PTX3 is an important mediator of inflammation and innate immunity. We aimed at assessing its prognostic value in a large cohort of patients hospitalized with COVID-19.
Methods
Levels of PTX3 were measured in 152 patients hospitalized with COVID-19 at San Gerardo Hospital (Monza, Italy) since March 2020. Cox regression was used to identify predictors of time from admission to in-hospital death or mechanical ventilation. Crude incidences of death were compared between patients with PTX3 levels higher or lower than the best cut-off estimated with the Maximally Selected Rank Statistics Method.
Results
Upon admission, 22% of the patients required no oxygen, 46% low-flow oxygen, 30% high-flow nasal cannula or CPAP-helmet and 3% MV. Median level of PTX3 was 21.7 (IQR: 13.5-58.23) ng/ml. In-hospital mortality was 25% (38 deaths); 13 patients (8.6%) underwent MV. PTX3 was associated with risk of death (per 10 ng/ml, HR 1.08; 95%CI 1.04-1.11; P<0.001) and death/MV (HR 1.04; 95%CI 1.01-1.07; P=0.011), independently of other predictors of in-hospital mortality, including age, Charlson Comorbidity Index, D-dimer and C-reactive protein (CRP). Patients with PTX3 levels above the optimal cut-off of 39.32 ng/ml had significantly higher mortality than the others (55% vs 8%, P<0.001). Higher PTX3 plasma levels were found in 14 patients with subsequent thrombotic complications (median [IQR]: 51.4 [24.6-94.4]
Conclusions
High PTX3 levels in patients hospitalized with COVID-19 are associated with a worse outcome. The evaluation of this marker could be useful in prognostic stratification and identification of patients who could benefit from immunomodulant therapy.

Identifiants

pubmed: 36389697
doi: 10.3389/fimmu.2022.933960
pmc: PMC9651085
doi:

Substances chimiques

PTX3 protein 148591-49-5
Serum Amyloid P-Component 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

933960

Informations de copyright

Copyright © 2022 Lapadula, Leone, Bernasconi, Biondi, Rossi, D’Angiò, Bottazzi, Bettini, Beretta, Garlanda, Valsecchi, Mantovani and Bonfanti.

Déclaration de conflit d'intérêts

AM, BB, and CG receive royalties for reagents related to innate immunity and are inventors of patents related to PTX3 and other innate immunity molecules. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Giuseppe Lapadula (G)

School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy.
Department of Infectious Diseases, San Gerardo Hospital, Monza, Italy.

Roberto Leone (R)

IRCCS Humanitas Research Hospital, Milan, Italy.

Davide Paolo Bernasconi (DP)

Bicocca Bioinformatics Biostatistics and Bioimaging Center - B4, University of Milano-Bicocca, Milan, Italy.

Andrea Biondi (A)

School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy.
Department of Pediatrics, European Reference Network (ERN) PaedCan, EuroBloodNet, MetabERN Fondazione Monza e Brianza per il Bambino e la sua Mamma (MBBM)/Ospedale San Gerardo, Monza, Italy.

Emanuela Rossi (E)

Bicocca Bioinformatics Biostatistics and Bioimaging Center - B4, University of Milano-Bicocca, Milan, Italy.

Mariella D'Angiò (M)

Department of Pediatrics, European Reference Network (ERN) PaedCan, EuroBloodNet, MetabERN Fondazione Monza e Brianza per il Bambino e la sua Mamma (MBBM)/Ospedale San Gerardo, Monza, Italy.

Barbara Bottazzi (B)

IRCCS Humanitas Research Hospital, Milan, Italy.

Laura Rachele Bettini (LR)

Department of Pediatrics, European Reference Network (ERN) PaedCan, EuroBloodNet, MetabERN Fondazione Monza e Brianza per il Bambino e la sua Mamma (MBBM)/Ospedale San Gerardo, Monza, Italy.

Ilaria Beretta (I)

Department of Infectious Diseases, San Gerardo Hospital, Monza, Italy.

Cecilia Garlanda (C)

IRCCS Humanitas Research Hospital, Milan, Italy.
Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy.

Maria Grazia Valsecchi (MG)

Bicocca Bioinformatics Biostatistics and Bioimaging Center - B4, University of Milano-Bicocca, Milan, Italy.

Alberto Mantovani (A)

IRCCS Humanitas Research Hospital, Milan, Italy.
Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy.
William Harvey Research Institute, Queen Mary University, London, United Kingdom.

Paolo Bonfanti (P)

School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy.
Department of Infectious Diseases, San Gerardo Hospital, Monza, Italy.

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