Risk stratification for invasive fungal infections in patients with hematological malignancies: SEIFEM recommendations

Melania Carlisi, Franco Aversa, Marianna Criscuolo, Nicola Polverelli, Francesca Farina, Gianpaolo Nadali, Silvia Pascale, Lucia Prezioso, Anna Pegoraro, Maria Chiara Tisi, Federica Lessi, Roberta Di Blasi, Angelica Spolzino, Laura Maracci, Alessandro Busca, Anna Candoni, Benedetta Rambaldi, Mario Tumbarello, Angelica Barone, Gloria TurriAngela Passi, Mitja Nabergoj, Benedetta Cambò, Barbara Beggia, Angela Maria Quinto, Livio Pagano, Marco Sanna, Francesca Farina, Silvia Pascale, Maria Ilaria Del Principe, Francesco Marchesi, Rosa Fanci, Leonardo Potenza, Annamaria Nosari, Chiara Cattaneo, Simone Cesaro, Domenico Russo

Risultato della ricerca: Articlepeer review

56 Citazioni (Scopus)


Invasive fungal infections (IFIs) are an important cause of morbidity and mortality in immunocompromised patients. Patients with hematological malignancies undergoing conventional chemotherapy, autologous or allogeneic hematopoietic stem cell transplantation are considered at high risk, and Aspergillus spp. represents the most frequently isolated micro-organisms. In the last years, attention has also been focused on other rare molds (e.g., Zygomycetes, Fusarium spp.) responsible for devastating clinical manifestations. The extensive use of antifungal prophylaxis has reduced the infections from yeasts (e.g., candidemia) even though they are still associated with high mortality rates. This paper analyzes concurrent multiple predisposing factors that could favor the onset of fungal infections. Although neutropenia is common to almost all hematologic patients, other factors play a key role in specific patients, in particular in patients with AML or allogeneic HSCT recipients. Defining those patients at higher risk of IFIs may help to design the most appropriate diagnostic work-up and antifungal strategy.
Lingua originaleEnglish
pagine (da-a)17-29
Numero di pagine13
RivistaBlood Reviews
Stato di pubblicazionePublished - 2017

All Science Journal Classification (ASJC) codes

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