VIDEO: Model accurately rules out likelihood of EoE, prevents ‘unnecessary biopsies’
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CHARLOTTE, N.C. — In a Healio video exclusive, Amrit Kamboj, MD, a gastroenterologist at Mayo Clinic Rochester, reported a predictive model accurately identified patients’ likelihood of eosinophilic esophagitis.
“As predictive models of EoE may not fully rule-in EoE, we aimed to develop a reverse model that reliably predicts against a diagnosis of EoE to eliminate unnecessary esophageal biopsies,” Kamboj said.
The researchers performed a two-center study of a multivariable logistic regression model first developed at Mayo Clinic and validated at the University of North Carolina, comparing patients with EoE against non-EoE controls. Researchers determined that the predictive model, with a probability of 91%, had a specificity of 94% and a sensitivity of 57%.
“This reverse model accurately identified a large group of patients with a low likelihood of EoE where unnecessary biopsies can be avoided potentially resulting in cost and time savings and lower risk,” Kamboj said. “Predictors against EoE diagnosis included older age, female sex, absence of atopic disorder or food allergy, absence of solid food dysphasia, no prior food impaction and normal appearing-esophagus on endoscopy.”
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Kamboj AK, et al. Abstract S389: Development and Validation of a Clinical Tool to Identify Patients Who Do Not Need Biopsies When Eosinophilic Esophagitis Is Suspected. Presented at: ACG Annual Scientific Meeting; Oct. 21-26, 2022; Charlotte (hybrid meeting).
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