| Autor: |
Valeria Bellelli, Guido Siccardi, Livia Conte, Luigi Celani, Elena Congeduti, Cristian Borrazzo, Letizia Santinelli, Giuseppe Pietro Innocenti, Claudia Pinacchio, Giancarlo Ceccarelli, Mario Venditti, Gabriella d’Ettorre |
| Jazyk: |
angličtina |
| Rok vydání: |
2020 |
| Předmět: |
|
| Zdroj: |
Antibiotics, Vol 9, Iss 10, p 644 (2020) |
| Druh dokumentu: |
article |
| ISSN: |
2079-6382 |
| DOI: |
10.3390/antibiotics9100644 |
| Popis: |
Invasive pulmonary aspergillosis (IPA) is typically considered a disease of immunocompromised patients, but, recently, many cases have been reported in patients without typical risk factors. The aim of our study is to develop a risk predictive model for IPA through machine learning techniques (decision trees) in patients with influenza. We conducted a retrospective observational study analyzing data regarding patients diagnosed with influenza hospitalized at the University Hospital “Umberto I” of Rome during the 2018-2019 season. We collected five IPA cases out of 77 influenza patients. Although the small sample size is a limit, the most vulnerable patients among the influenza-infected population seem to be those with evidence of lymphocytopenia and those that received corticosteroid therapy. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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