Contribution of Biologic Response Modifiers to the Risk of Coccidioidomycosis Severity
Author
Donovan, F.M.Ramadan, F.A.
Lim, J.R.
Buchfuhrer, J.E.
Khan, R.N.
Dequillfeldt, N.P.
Davis, N.M.
Kaveti, A.
De Shadarevian, M.
Bedrick, E.J.
Galgiani, J.N.
Affiliation
Valley Fever Center for Excellence, University of ArizonaDepartment of Epidemiology and Biostatistics, University of Arizona College of Public Health
University of Arizona College of Medicine-Phoenix
University of Arizona College of Medicine-Tucson
Issue Date
2022Keywords
autoimmune diseasebiologic response modifiers
coccidioidomycosis
tumor necrosis factor inhibitors
Valley fever
Metadata
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Oxford University PressCitation
Donovan, F. M., Ramadan, F. A., Lim, J. R., Buchfuhrer, J. E., Khan, R. N., Dequillfeldt, N. P., Davis, N. M., Kaveti, A., De Shadarevian, M., Bedrick, E. J., & Galgiani, J. N. (2022). Contribution of Biologic Response Modifiers to the Risk of Coccidioidomycosis Severity. Open Forum Infectious Diseases.Journal
Open Forum Infectious DiseasesRights
Published by Oxford University Press on behalf of Infectious Diseases Society of America 2022. This work is written by (a) US Government employee(s) and is in the public domain in the US.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: The risk of coccidioidomycosis (CM) as a life-Threatening respiratory illness or disseminated CM (DCM) increases as much as 150-fold in immunosuppressed patients. The safety of biologic response modifiers (BRMs) as treatment for patients with autoimmune disease (AI) in CM-endemic regions is not well defined. We sought to determine that risk in the Tucson and Phoenix areas. Methods: We conducted a retrospective study reviewing demographics, Arizona residency length, clinical presentations, specific AI diagnoses, CM test results, and BRM treatments in electronic medical records of patients ≥18 years old with International Classification of Diseases (ICD-10) codes for CM and AI from 1 October 2017 to 31 December 2019. Results: We reviewed 944 charts with overlapping ICD-10 codes for CM and AI, of which 138 were confirmed to have both diagnoses. Male sex was associated with more CM (P =. 003), and patients with African ancestry were 3 times more likely than those with European ancestry to develop DCM (P <. 001). Comparing CM+/AI+ (n = 138) with CM+/AI- (n = 449) patients, there were no significant differences in CM clinical presentations. Patients receiving BRMs had 2.4 times more DCM compared to pulmonary CM (PCM). Conclusions: AI does not increase the risk of any specific CM clinical presentation, and BRM treatment of most AI patients does not lead to severe CM. However, BRMs significantly increase the risk of DCM, and prospective studies are needed to identify the immunogenetic subset that permits BRM-Associated DCM. © Published by Oxford University Press on behalf of Infectious Diseases Society of America 2022.Note
Public domain articleISSN
2328-8957Version
Final published versionae974a485f413a2113503eed53cd6c53
10.1093/ofid/ofac032
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Except where otherwise noted, this item's license is described as Published by Oxford University Press on behalf of Infectious Diseases Society of America 2022. This work is written by (a) US Government employee(s) and is in the public domain in the US.