Examining Miliary Disease Etiology in a Coccidioides-Endemic Center: A Retrospective Cohort Study
Affiliation
Department of Pulmonary and Critical Care Medicine, University of ArizonaDepartment of Infectious Disease, University of Arizona
Department of Internal Medicine, University of Arizona
Department of Radiology, University of Arizona
Department of Biostatistics, Bio5 InstituteAZ
Department of Pulmonary and Critical Care Medicine, University of Arizona
Issue Date
2023-12-31Keywords
cancerCoccidioides
coccidioidomycosis
disseminated
metastatic
miliary
TB
tuberculosis
valley fever
Metadata
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Scott, A.M.; Lim, J.R.; Randhawa, R.; Lee, J.; Yaddanapudi, K.; Rabe, B.; Malo, J. Examining Miliary Disease Etiology in a Coccidioides-Endemic Center: A Retrospective Cohort Study. J. Fungi 2024, 10, 29. https://doi.org/10.3390/jof10010029Journal
Journal of FungiRights
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
Background: A miliary pattern on chest imaging is often attributed to tuberculosis (TB) infection. However, a myriad of conditions can cause a miliary pattern, many of which are imminently life-threatening. Research Question: The primary aim of our study is to elucidate the potential causes of miliary chest imaging patterns to improve workup and empiric therapy selection. The secondary aims are to discern the predictors of miliary disease etiology and to determine whether appropriate empiric antimicrobial therapies were given. Study Design and Methods: In this retrospective cohort study, we searched a radiology database for patients with chest imaging studies described by the word “miliary”. Subjects were excluded if they were under 18 years of age and if there were insufficient objective data to support a miliary disease etiology. A radiologist independently reviewed all imaging studies, and studies that did not appear to have a true miliary pattern were excluded. The collected data include patient demographics, immunocompromising risk factors, conditions associated with miliary disease, β-D-glucan levels, serum eosinophil count, and empiric therapies received. Results: From our 41-patient cohort, 22 patients (53.7%) were clinically diagnosed with coccidioidomycosis, 8 (19.5%) with TB, 7 (17.1%) with metastatic solid cancer, 1 (2.4%) with lymphoma, 1 (2.4%) with other (Mycobacterium simiae), and 3 (7.3%) with unknown diseases (the sum equals 42 patients because one individual was diagnosed with both coccidioidomycosis and TB). All six patients with greater than 500 eosinophils/μL were diagnosed with coccidioidomycosis. Of the 22 patients diagnosed with coccidioidomycosis, 20 (90.91%) were empirically treated with an antifungal regimen. Of the eight patients with TB, six were empirically treated for TB. Interpretation: Based on our data from a Coccidioides-endemic region with close proximity to tuberculosis-endemic areas, the leading cause of miliary disease is coccidioidomycosis, although TB and cancer are also common etiologies. Serum eosinophilia and elevated β-D-glucan levels were strongly predictive of coccidioidomycosis in our patient cohort with a miliary chest imaging pattern. © 2023 by the authors.Note
Open access journalISSN
2309-608XVersion
Final Published Versionae974a485f413a2113503eed53cd6c53
10.3390/jof10010029
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Except where otherwise noted, this item's license is described as © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).