Spillinger, Aviv

ABSTRACT Background Prompt detection and intervention are crucial for improving outcomes in acute invasive fungal rhinosinusitis (AIFS). Diagnostic prediction models assist in risk‐stratification, but their accuracy requires testing through external validation. This study aims to validate a previously published diagnostic prediction model for AIFS in an independent cohort. Methods A retrospective chart review was conducted at a tertiary care center (2008–2023) to identify patients with an otolaryngology consult for suspected AIFS. Of 65 patients identified, 11 (16.9%) were diagnosed with AIFS based on histopathology. Risk was calculated using Yin et al.’s predictive model. Predictive performance was assessed by calibration and discrimination. Results Patients had significantly higher rates of diabetes (46.2% vs. 26.1%, p = 0.002), long‐term steroid use (60% vs. 28.2%, p < 0.0001), and solid organ transplantation (38.5% vs. 8.5%, p < 0.001), compared with the development cohort, with conversely lower rates of hematologic malignancy (29.2% vs. 58.7, p < 0.001) and neutropenia (19.4% vs. 41%, p = 0.001). Despite these differences, both the three‐variable (C‐index: 0.844; 95% CI, 0.736–0.952) and four‐variable models (C‐index: 0.963; 95% CI, 0.919–1) showed adequate discrimination. Both models exhibited slight overprediction of risk, with a calibration‐in‐the‐large predicted risk of 24.1% (95% CI, 13.68–34.46) for the three‐variable model and 24.2% (95% CI, 13.76–34.57) for the four‐variable model. Calibration plots confirmed overprediction. Conclusion The AIFS diagnostic model demonstrates acceptable discrimination and calibration on external validation, with generalizability to patients with different comorbidities. Larger studies are recommended to further test the model's predictive performance and clinical applicability.

BackgroundAcute invasive fungal sinusitis (AIFS) is a potentially life‐threatening diagnosis in immunocompromised patients. Identifying patients who could benefit from evaluation and intervention can be challenging for referring providers and otolaryngologists alike. We aimed to develop and validate an accessible diagnostic tool to estimate the probability of AIFS.MethodsRetrospective chart review from 1999 to 2017 identified all patients evaluated for possible AIFS at a tertiary care center. AIFS was diagnosed by pathologic confirmation of fungal tissue angioinvasion. Stepwise selection and univariate logistic regression were used to screen risk factors for a multivariable predictive model. Model performance was assessed using Tukey's goodness‐of‐fit test and the area under the receiver operator characteristic curve (AUC). Model coefficients were internally validated using bootstrapping with 1000 iterations.ResultsA total of 283 patients (244 negative controls, 39 with AIFS) were included. Risk factors in our final diagnostic model included: fever ≥38°C (log‐odds ratio [LOR] 1.72; 95% CI, 0.53 to 2.90), unilateral facial swelling, pain, or erythema (LOR 2.84; 95% CI, 1.46 to 4.23), involvement of the orbit or pterygopalatine fossa on imaging (LOR 3.02; 95% CI, 1.78 to 4.26), and mucosal necrosis seen on endoscopy (LOR 5.52; 95% CI, 3.81 to 7.24), with p < 0.01 for all factors. The model had adequate goodness of fit (p > 0.05) and discrimination (AUC = 0.96).ConclusionWe present an internally validated diagnostic tool to stratify the risk for AIFS. The estimated risk may help determine which patients can be observed with serial nasal endoscopy, which ones could be biopsied, and which ones would benefit from immediate surgical intervention.

ObjectiveThis study aims to describe presenting characteristics of patients diagnosed with non‐invasive chronic rhinosinusitis (CRS) following liver or kidney transplant and determine factors associated with disease‐related complications, selection of endoscopic sinus surgery (ESS), and disease resolution in this population.Study designRetrospective chart review.SettingAn academic tertiary care center (Mayo Clinic, Rochester, Minnesota).Subjects and methodsLiver and kidney transplant recipients evaluated by Mayo Clinic otolaryngologists for CRS between 1998 and 2018 were identified. Univariate and multivariate logistic regression analyses were used to determine patient factors and treatment modalities associated with developing complications, selection of ESS, and disease resolution.ResultsFifty‐seven patients met inclusion criteria. No patients developed intraorbital or intracranial complications of their CRS. Multivariate modeling demonstrated that the presence of polyps (P = 0.036) was associated with undergoing ESS within one year of presentation. A higher Lund–Mackay (LM) computed tomography score (P = 0.023) and older age (P = 0.018) were significantly associated with decreased disease resolution. No other factors were significantly associated with the use of endoscopic sinus surgery within one year of otolaryngology presentation or resolution of CRS in this cohort.ConclusionThe risk of developing CRS‐related intraorbital or intracranial complications in this immunecompromised patient cohort may be lower than originally thought. For liver‐ and kidney‐recipients stable on immunosuppressive medication for many years, prognostic factors for CRS may mirror those for immunocompetent patients.