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To define different risk groups of patients suspected of having acute invasive fungal sinusitis (AIFS) and develop a goal-directed diagnostic approach.Forty patients with suspected AIFS biopsied from 2010 to 2020 were included in this study. Patients diagnosed with chronic invasive fungal sinusitis or without biopsy results were excluded. A recursive partitioning analysis (RPA) model was performed to define patient cohorts with the highest risk of having a positive biopsy for AIFS.There were a total of 26 patients with biopsy-proven AIFS. Patient characteristics significantly associated with an increased likelihood of a positive biopsy for AIFS on bivariate analysis included facial pain (p = 0.047), platelet count50,000 cells/mmOur findings indicate that patients with a fever of unknown origin, low platelet count, and/or ANC are at an increased risk of being diagnosed with biopsy-proven AIFS. Using these risk factors, we propose a diagnostic approach that may expedite the treatment of patients with AIFS; however, future prospective studies are needed for validation. |
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