Therapeutic drug monitoring in patients with inflammatory bowel disease on ustekinumab

Adam Saleh, Rachel Stading, Natalia Miroballi, Kerri Glassner, Bincy P. Abraham

Research output: Contribution to journalArticlepeer-review

Abstract

Objective: Therapeutic drug monitoring is used clinically to guide anti-tumor necrosis factor (TNF) therapy for inflammatory bowel disease (IBD), but its use for ustekinumab (UST) remains unclear. This study aimed to determine predictive variables of UST levels. Methods: In this retrospective cohort of patients with IBD, UST trough levels were drawn at maintenance dosing. Relationships between UST trough levels and demographics, therapy, and outcomes were analyzed. Machine-learning models were used to infer combinatorial traits predictive of UST levels. Results: Altogether 177 patients with IBD on UST had a mean UST trough level of 4.742 μg/mL. The injection schedule correlated significantly (P < 0.001) with UST levels. Naiveté to anti-TNFs correlated with higher UST levels (P = 0.048). Univariate analysis revealed that higher inflammatory biomarkers significantly correlated to lower UST levels and a lower Simple Endoscopic Score to Crohn's Disease to adequate UST levels (P = 0.018). Multivariate analysis identified body mass index (BMI), previous anti-TNF failure, and laboratory flare as predictors of UST levels with an area under the receiver operating characteristic curve (AUROC) of 0.72. The UST cut-off level of 5.77 μg/mL yielded a 0.79 AUROC, 80% sensitivity, and 81% specificity for predicting endoscopic remission of Crohn's disease. For the clinical remission end-point in ulcerative colitis, UST level of 4.73 μg/mL yielded a 0.69 AUROC, 53% sensitivity, and 86% specificity. Conclusions: Higher UST levels correlated with less disease activity. BMI was an important consideration for UST response as well. Therefore, UST dose adjustments to reach target levels may optimize response.

Original languageEnglish (US)
Pages (from-to)214-221
Number of pages8
JournalJournal of Digestive Diseases
Volume25
Issue number4
DOIs
StatePublished - Apr 2024

Keywords

  • biological products
  • drug monitoring
  • inflammatory bowel diseases
  • machine learning
  • ustekinumab

ASJC Scopus subject areas

  • Gastroenterology

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