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Volume 28, Number 6—June 2022

Cross-Sectional Study of Clinical Predictors of Coccidioidomycosis, Arizona, USA

Ferris A. RamadanComments to Author , Katherine D. Ellingson, Robert A. Canales, Edward J. Bedrick, John N. Galgiani, and Fariba M. Donovan
Author affiliations: University of Arizona, Tucson, Arizona, USA (F.A. Ramadan, K.D. Ellingson, E.J. Bedrick); George Washington University, Washington, DC, USA (R.A. Canales); University of Arizona College of Medicine–Tucson, Tucson (J.N. Galgiani, F.M. Donovan)

Main Article

Table 5

Performance metrics for outpatient and inpatient multivariable model in a cross-sectional study of clinical predictors of coccidioidomycosis, Arizona, USA*

Metric Outpatient Inpatient
ROC AUC 78.2 64.3
Sensitivity 72.7 34.4
Specificity 69.5 87.5
Positive predictive value 28.6 11.9
Negative predictive value 93.8 96.4
Prevalence 14.4 4.6
Detection rate 10.5 1.6
Detection prevalence 36.6 13.5
Balanced accuracy 71.1 61.0

*ROC AUC, receiver operating characteristic area under the curve.

Main Article

Page created: March 21, 2022
Page updated: May 20, 2022
Page reviewed: May 20, 2022
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