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

Articolo
Data di Pubblicazione:
2024
Citazione:
Bettelli, F., Vallerini, D., Lagreca, I., Barozzi, P., Riva, G., Nasillo, V., Paolini, A., D'Amico, R., Forghieri, F., Morselli, M., Pioli, V., Gilioli, A., Giusti, D., Messerotti, A., Bresciani, P., Cuoghi, A., Colaci, E., Marasca, R., Pagano, L., Candoni, A., Maertens, J., Viale, P., Mussini, C., Manfredini, R., Tagliafico, E., Sarti, M., Trenti, T., Lewis, R., Comoli, P., Eccher, A., Luppi, M., Potenza, L., Identification and validation of diagnostic cutoffs of the ELISpot assay for the diagnosis of invasive aspergillosis in high-risk patients, <>, 2024; 19 (7): 728-736. [doi:10.1371/journal.pone.0306728] [https://hdl.handle.net/10807/302056]
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.
Tipologia CRIS:
Articolo in rivista, Nota a sentenza
Keywords:
Infection
Elenco autori:
Bettelli, F.; Vallerini, D.; Lagreca, I.; Barozzi, P.; Riva, G.; Nasillo, V.; Paolini, A.; D'Amico, R.; Forghieri, F.; Morselli, M.; Pioli, V.; Gilioli, A.; Giusti, D.; Messerotti, A.; Bresciani, P.; Cuoghi, A.; Colaci, E.; Marasca, R.; Pagano, Livio; Candoni, A.; Maertens, J.; Viale, P.; Mussini, C.; Manfredini, R.; Tagliafico, E.; Sarti, M.; Trenti, T.; Lewis, R.; Comoli, P.; Eccher, A.; Luppi, M.; Potenza, L.
Link alla scheda completa:
https://publicatt.unicatt.it/handle/10807/302056
Pubblicato in:
PLOS ONE
Journal
  • Aree Di Ricerca

Aree Di Ricerca

Settori (3)


LS6_6 - Infectious diseases - (2022)

Settore MED/15 - MALATTIE DEL SANGUE

Settore MEDS-09/B - Malattie del sangue
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