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  1. Research Outputs

Identification and validation of diagnostic cut-offs of the ELISpot assay for the diagnosis of invasive aspergillosis in high-risk patients

Academic Article
Publication Date:
2024
Short description:
Identification and validation of diagnostic cut-offs of the ELISpot assay for the diagnosis of invasive aspergillosis in high-risk patients / Bettelli, Francesca; Vallerini, Daniela; Lagreca, Ivana; Barozzi, Patrizia; Riva, Giovanni; Nasillo, Vincenzo; Paolini, Ambra; D'Amico, Roberto; Forghieri, Fabio; Morselli, Monica; Pioli, Valeria; Gilioli, Andrea; Giusti, Davide; Messerotti, Andrea; Bresciani, Paola; Cuoghi, Angela; Colaci, Elisabetta; Marasca, Roberto; Pagano, Livio; Candoni, Anna; Maertens, Johan; Viale, Pierluigi; Mussini, Cristina; Manfredini, Rossella; Tagliafico, Enrico; Sarti, Mario; Trenti, Tommaso; Lewis, Russell; Comoli, Patrizia; Eccher, Albino; Luppi, Mario; Potenza, Leonardo. - In: PLOS ONE. - ISSN 1932-6203. - 19:7(2024), pp. 1-16. [10.1371/journal.pone.0306728]
abstract:
Objective: We investigated the performance of enzyme linked immunospot (ELISpot) assay for the diagnosis of invasive aspergillosis (IA) in high-risk patients with hematologic malignancies. Methods: We prospectively enrolled two cohorts of patients undergoing intensive myelosuppressive or immunosuppressive treatments at high risk for IA. ELISpot was performed to detect Aspergillus-specific T cells producing Interleukin-10. Results: In the discovery cohort, a derived cut-off of 40 spot forming cells (SFCs)/106 PBMCs has shown to correctly classify IA cases with a sensitivity and specificity of 89.5% and 88.6%, respectively. This cut-off is lowered to 25 SFC when considering the subset of possible IA patients, with sensitivity and specificity of 76% and 93%, respectively. The application of the 40 SFCs cut-off to the validation cohort resulted in a positivity rate of 83.3% in proven/probable cases and a negativity rate of 92.5% in possible/non-IA cases. Adopting the 25 SCFs cut-off, the assay resulted positive in 83.3% of proven/probable cases while it resulted negative in 66.7% of possible/non-IA cases. Conclusions: ELISpot shows promises in the diagnosis of IA and the possibility to use two distinct cut-offs with similar diagnostic performances according to patients' different pre-test probability of infection can widen its use in patients at risk.
Iris type:
Articolo su rivista
List of contributors:
Bettelli, Francesca; Vallerini, Daniela; Lagreca, Ivana; Barozzi, Patrizia; Riva, Giovanni; Nasillo, Vincenzo; Paolini, Ambra; D'Amico, Roberto; Forghieri, Fabio; Morselli, Monica; Pioli, Valeria; Gilioli, Andrea; Giusti, Davide; Messerotti, Andrea; Bresciani, Paola; Cuoghi, Angela; Colaci, Elisabetta; Marasca, Roberto; Pagano, Livio; Candoni, Anna; Maertens, Johan; Viale, Pierluigi; Mussini, Cristina; Manfredini, Rossella; Tagliafico, Enrico; Sarti, Mario; Trenti, Tommaso; Lewis, Russell; Comoli, Patrizia; Eccher, Albino; Luppi, Mario; Potenza, Leonardo
Authors of the University:
BAROZZI Patrizia
CANDONI ANNA
D'AMICO Roberto
ECCHER Albino
FORGHIERI Fabio
LUPPI Mario
MANFREDINI Rossella
MARASCA Roberto
MUSSINI Cristina
POTENZA Leonardo
TAGLIAFICO Enrico
Handle:
https://iris.unimore.it/handle/11380/1349246
Full Text:
https://iris.unimore.it//retrieve/handle/11380/1349246/681610/journal.pone.0306728.pdf
Published in:
PLOS ONE
Journal
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